pax_global_header00006660000000000000000000000064120332613070014507gustar00rootroot0000000000000052 comment=3caefb5e9534260ad780cf35c754bed1c12e2577 vlfeat-0.9.16/000077500000000000000000000000001203326130700130655ustar00rootroot00000000000000vlfeat-0.9.16/.gitattributes000066400000000000000000000000731203326130700157600ustar00rootroot00000000000000*.manifest -crlf -diff -merge *.vcproj binary *.sln binary vlfeat-0.9.16/.gitignore000066400000000000000000000012661203326130700150620ustar00rootroot00000000000000# Mac OS Finder Poop .DS_Store # MEX files *.mexglx *.mexmac *.mexmaci *.mexmaci64 *.mexa64 *.mex # Python complied files *.pyc # Other generated files and directories VERSION docsrc/version.html bin results doc build toolbox/mexw32 toolbox/mexmaci toolbox/mexmaci64 toolbox/mexmac toolbox/mexglx toolbox/mexa64 toolbox/mexw64 toolbox/mex toolbox/noprefix # Xcode vlfeat.xcodeproj/*.mode1 vlfeat.xcodeproj/*.mode1v3 vlfeat.xcodeproj/*.mode2v3 vlfeat.xcodeproj/*.pbxuser vlfeat.xcodeproj/*.perspective* vlfeat.xcodeproj/*.xcworkspace vlfeat.xcodeproj/xcuserdata # Visual C++ vlfeat.suo vlfeat.ncb vlfeat.vcproj.*.user vc/* # Emacs backups *~ # Vim swap files .*.swp # Opt directory opt/*vlfeat-0.9.16/COPYING000066400000000000000000000024561203326130700141270ustar00rootroot00000000000000Copyright (C) 2007-12, Andrea Vedaldi and Brian Fulkerson All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. vlfeat-0.9.16/Makefile000066400000000000000000000255171203326130700145370ustar00rootroot00000000000000# file: Makefile # description: Build everything # author: Andrea Vedaldi # Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson. # All rights reserved. # # This file is part of the VLFeat library and is made available under # the terms of the BSD license (see the COPYING file). # VLFEAT BUILDING INSTRUCTIONS # # This makefile builds VLFeat on modern UNIX boxes with the GNU # toolchain. Mac OS X and Linux are explicitly supported, and support # for similar architectures can be easily added. # # Usually, compiling VLFeat reduces to typing # # > cd PATH_TO_VLFEAT_SOURCE_TREE # > make # # The makefile attempts to automatically determine the host # architecture. If this fails, or if the architecture is ambiguous, # the architecture can be set by specifying the ARCH variable. For # instance: # # > make ARCH=maci64 # # builds VLFeat for Mac OS X Intel 64 bit. # # !! Unforunately MATLAB mex script (at least up to version 2009B) has # !! a bug that prevents selecting an architecture different from the # !! default one for compilation. For instance, compiling maci64 may # !! not work as the default architecture is maci if both 32 and 64 # !! bit MATLAB are installed. This bug is easy to fix, but requires # !! patching the mex script. See www.vlfeat.org for detailed # !! instructions. # # Other useful variables are listed below (their default value is in # square bracked). # # ARCH [undefined] - Active architecture. The supported # architectures are maci, maci64, glnx86, or glnxa64 (these are # the same architecture identifers used by MATLAB: # http://www.mathworks.com/help/techdoc/ref/computer.html). If # undefined, the makefile attempts to automatically detect the # architecture. # # DEBUG [undefined] - If defined, turns on debugging symbols and # turns off optimizations # # PROFILE [undefined] - If defined, turns on debugging symbols but # does NOT turn off optimizations. # # VERB [undefined] - If defined, display in full the command # executed and their output. # # MEX [mex]- Path to MATLAB MEX compiler. If undefined, MATLAB supprot # is disabled. # # MKOCTFILE [undefined] - Path to Octave MKOCTFILE compiler. If undefined, # Octave support is disabled. # # To completely remove all build products use # # > make distclean # # Other useful targets include: # # clean - Removes intermediate build products for the active architecture. # archclean - Removes all build products for the active architecture. # distclean - Removes all build products. # info - Display a list of the variables defined by the Makefile. # help - Print this message. # # VLFeat is compsed of different parts (DLL, command line utilities, # MATLAB interface, Octave interface) so the makefile is divided in # components, located in make/*.mak. Please check out the # corresponding files in order to adjust parameters. # AUTORIGHTS SHELL = /bin/bash .PHONY : all all: # Feature selection DISABLE_SSE2=no DISABLE_THREADS=no # -------------------------------------------------------------------- # Error Messages # -------------------------------------------------------------------- err_no_arch = err_no_arch +=$(shell echo "** Unknown host architecture '$(UNAME)'. This identifier" 1>&2) err_no_arch +=$(shell echo "** was obtained by running 'uname -sm'. Edit the Makefile " 1>&2) err_no_arch +=$(shell echo "** to add the appropriate configuration." 1>&2) err_no_arch +=config err_internal =$(shell echo Internal error) err_internal +=internal err_spaces = $(shell echo "** VLFeat root dir VLDIR='$(VLDIR)' contains spaces." 1>&2) err_spaces += $(shell echo "** This is not supported due to GNU Make limitations." 1>&2) err_spaces +=spaces # -------------------------------------------------------------------- # Auto-detect architecture # -------------------------------------------------------------------- Darwin_PPC_ARCH := mac Darwin_Power_Macintosh_ARCH := mac Darwin_i386_ARCH := maci64 Darwin_x86_64_ARCH := maci64 Linux_i386_ARCH := glnx86 Linux_i686_ARCH := glnx86 Linux_unknown_ARC := glnx86 Linux_x86_64_ARCH := glnxa64 UNAME := $(shell uname -sm) ARCH ?= $($(shell echo "$(UNAME)" | tr \ _)_ARCH) # sanity check ifeq ($(ARCH),) die:=$(error $(err_no_arch)) endif ifneq ($(VLDIR),$(shell echo "$(VLDIR)" | sed 's/ //g')) die:=$(error $(err_spaces)) endif # -------------------------------------------------------------------- # Configuration # -------------------------------------------------------------------- VLDIR ?= . LIBTOOL ?= libtool STD_CLFAGS = $(CFLAGS) STD_CFLAGS += -std=c99 STD_CFLAGS += -Wall -Wextra STD_CFLAGS += -Wno-unused-function -Wno-long-long -Wno-variadic-macros STD_CFLAGS += $(ifeq ($(DISABLE_THREADS),yes),-DVL_DISABLE_THREADS) STD_CFLAGS += $(ifeq ($(DISABLE_SSE2),yes),-DVL_DISABLE_SSE2) STD_CFLAGS += $(if $(DEBUG), -DDEBUG -O0 -g, -DNDEBUG -O3) STD_CFLAGS += $(if $(PROFILE), -g,) STD_LDFLAGS = $(LDFLAGS) # Architecture specific ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ # Mac OS X Intel 32 ifeq ($(ARCH),maci) #SDKROOT ?= $(shell xcode-select -print-path)/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.7.sdk SDKROOT ?= $(shell xcodebuild -version -sdk macosx | sed -n '/^Path\:/p' | sed 's/^Path: //') MACOSX_DEPLOYMENT_TARGET ?= 10.4 STD_CFLAGS += -m32 -isysroot $(SDKROOT) -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET) STD_LDFLAGS += -Wl,-syslibroot,$(SDKROOT) -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET) CC = gcc endif # Mac OS X Intel 64 ifeq ($(ARCH),maci64) #SDKROOT ?= $(shell xcode-select -print-path)/Platforms/MacOSX.platform/Developer/SDKs/MacOSX10.7.sdk SDKROOT ?= $(shell xcodebuild -version -sdk macosx | sed -n '/^Path\:/p' | sed 's/^Path: //') MACOSX_DEPLOYMENT_TARGET ?= 10.4 STD_CFLAGS += -m64 -isysroot $(SDKROOT) -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET) STD_LDFLAGS += -Wl,-syslibroot,$(SDKROOT) -mmacosx-version-min=$(MACOSX_DEPLOYMENT_TARGET) CC = gcc endif # Linux-32 ifeq ($(ARCH),glnx86) STD_CFLAGS += -march=i686 STD_LDFLAGS += -Wl,--rpath,\$$ORIGIN/ -Wl,--as-needed -lpthread -lm CC = gcc endif # Linux-64 ifeq ($(ARCH),glnxa64) STD_LDFLAGS += -Wl,--rpath,\$$ORIGIN/ -Wl,--as-needed -lpthread -lm CC = gcc endif # -------------------------------------------------------------------- # Functions # -------------------------------------------------------------------- # $(call if-like,FILTER,WHY,WHAT) define if-like $(if $(filter $(1),$(2)),$(3)) endef # $(call dump-var,VAR) pretty-prints the content of a variable VAR on # multiple columns ifdef VERB define dump-var @echo "$(1) =" @echo "$($(1))" | sed 's/\([^ ][^ ]* [^ ][^ ]*\) */\1#/g' | \ tr '#' '\n' | column -t | sed 's/\(.*\)/ \1/g' endef else define dump-var @printf "%15s = %s\n" "$(1)" \ "$$(echo '$($(1))' | sed -e 's/[^ ][^ ]* /\.\.\./3' -e 's/\.\.\..*$$/\.\.\./g')" endef endif # $(call echo-var,VAR) pretty-prints the content of a variable VAR on # one line define echo-var @printf "%15s = %s\n" "$(1)" "$($(1))" endef # $(call echo-title,TITLE) pretty-prints TITLE as a title define echo-title @printf "** %s\n" "$(1)" endef # $(call print-command, CMD, TGT) prints a message define print-command @printf "%15s %s\n" "$(strip $(1))" "$(strip $(2))" endef # $(call C, CMD) runs $(CMD) silently define C @$(call print-command, $(1), "$(@)") @quiet () \ { \ local cmd out err ; \ cmd="$($(1))"; \ out=$$($${cmd} "$${@}" 2>&1) ; \ err=$${?} ; \ if test $${err} -gt 0 ; then \ echo "******* Offending Command:"; \ printf "%s" "$${cmd}" ; \ for i in "$${@}" ; do printf " '%s'" "$$i" ; done ; \ echo ; \ echo "******* Error Code: $${err}"; \ echo "******* Command Output:"; \ echo "$${out}"; \ fi; \ echo "$${out}" | grep [Ww]arning ; \ return $${err}; \ } ; quiet endef # If verbose print everything ifdef VERB C = $($(1)) endif # rule to create a directory .PRECIOUS: %/.dirstamp %/.dirstamp : @printf "%15s %s\n" MK "$(dir $@)" @mkdir -p $(dir $@) @echo "Directory generated by make." > $@ # $(call gendir, TARGET, DIR1 DIR2 ...) creates a target TARGET-dir that # triggers the creation of the directories DIR1, DIR2 define gendir $(1)-dir=$(foreach x,$(2),$(x)/.dirstamp) endef # -------------------------------------------------------------------- # Build # -------------------------------------------------------------------- # Each Makefile submodule appends appropriate dependencies to the all, # clean, archclean, distclean, and info targets. In addition, it # appends to the deps and bins variables the list of .d files (to be # inclued by make as auto-dependencies) and the list of files to be # added to the binary distribution. include make/dll.mak include make/bin.mak include make/matlab.mak include make/octave.mak include make/doc.mak include make/dist.mak .PHONY: clean, archclean, distclean, info, help no_dep_targets += clean archclean distclean info help clean: rm -f `find . -name '*~'` rm -f `find . -name '.DS_Store'` rm -f `find . -name '.gdb_history'` rm -f `find . -name '._*'` rm -rf ./results archclean: clean distclean: info: $(call echo-title,General settings) $(call dump-var,deps) $(call echo-var,PROFILE) $(call echo-var,DEBUG) $(call echo-var,VER) $(call echo-var,ARCH) $(call echo-var,CC) $(call echo-var,STD_CFLAGS) $(call echo-var,STD_LDFLAGS) @printf "\nThere are %s lines of code.\n" \ `cat $(m_src) $(mex_src) $(dll_src) $(dll_hdr) $(bin_src) | wc -l` # Holw help works: cat this file, # skip the first block until an empty line is found (twice) # print the first block until an empty line, # remove the `# ' prefix from each remaining line help: @cat Makefile | \ sed -n '1,/^$$/!p' | \ sed -n '1,/^$$/!p' | \ sed -n '1,/^$$/p' | \ sed 's/^# \{0,1\}\(.*\)$$/\1/' # -------------------------------------------------------------------- # Include dependencies # -------------------------------------------------------------------- .PRECIOUS: $(deps) ifeq ($(filter $(no_dep_targets), $(MAKECMDGOALS)),) -include $(deps) endif vlfeat-0.9.16/Makefile.mak000066400000000000000000000364131203326130700153030ustar00rootroot00000000000000# file: Makefile.mak # descrption: Microsoft NMake makefile # authors: Andrea Vedaldi, Brian Fulkerson, Mircea Cimpoi # Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson. # All rights reserved. # # This file is part of the VLFeat library and is made available under # the terms of the BSD license (see the COPYING file). # -------------------------------------------------------------------- # Customization # -------------------------------------------------------------------- # To modify this script to run on your platform it is usually # sufficient to modify the following variables: # # ARCH: Either win32 or win64 [win64] # DEBUG: Set to yes to ativate debugging [no] # MATLABROOT: Path to MATLAB # MSVSVER: Visual Studio version (e.g. 80, 90, 100) [90 for VS 9.0] # MSVCROOT: Visual C++ location [$(VCInstallDir)]. # WINSDKROOT: Windows SDK location [$(WindowsSdkDir)] # # Note that some of these variables depend on the architecture # (either win32 or win64). VER = 0.9.16 ARCH = win64 DEBUG = no BRANCH = v$(VER)-$(ARCH) MSVSVER = 90 MSVCROOT = $(VCInstallDir) WINSDKROOT = $(WindowsSdkDir) GIT = git !if "$(MSVCROOT)" == "" MSVCROOT = C:\Program Files (x86)\Microsoft Visual Studio 9.0\VC !endif !if "$(WINSDKROOT)" == "" WINSDKROOT = C:\Program Files\Microsoft SDKs\Windows\v6.0A !endif # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 32-bit !if "$(ARCH)" == "win32" !message === COMPILING FOR 32-BIT MATLABROOT = C:\Program Files (x86)\MATLAB\R2009b MEX = "$(MATLABROOT)\bin\mex.bat" MEXOPT = "$(MATLABROOT)\bin\win32\mexopts\msvc$(MSVSVER)opts.bat" MEXEXT = mexw32 MEX_FLAGS = CC = "$(MSVCROOT)\bin\cl.exe" LINK = "$(MSVCROOT)\bin\link.exe" MSVCR_PATH = $(MSVCROOT)\redist\x86\Microsoft.VC$(MSVSVER).CRT LFLAGS = /MACHINE:X86 \ /LIBPATH:"$(MSVCROOT)\lib" \ /LIBPATH:"$(WINSDKROOT)\lib" # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 64-bit !elseif "$(ARCH)" == "win64" !message === COMPILING FOR 64-BIT MATLABROOT = C:\Program Files\MATLAB\R2009b MEX = "$(MATLABROOT)\bin\mex.bat" MEXOPT = "$(MATLABROOT)\bin\win64\mexopts\msvc$(MSVSVER)opts.bat" MEXEXT = mexw64 MEX_FLAGS = -largeArrayDims CC = "$(MSVCROOT)\bin\amd64\cl.exe" LINK = "$(MSVCROOT)\bin\amd64\link.exe" !if $(MSVSVER) >= 100 MSVCR_PATH = $(MSVCROOT)\redist\x64\Microsoft.VC$(MSVSVER).CRT !else MSVCR_PATH = $(MSVCROOT)\redist\amd64\Microsoft.VC$(MSVSVER).CRT !endif LFLAGS = /MACHINE:X64 \ /LIBPATH:"$(MSVCROOT)\lib\amd64" \ /LIBPATH:"$(WINSDKROOT)\lib\x64" !else !error ARCH = $(ARCH) is an unknown architecture. !endif # -------------------------------------------------------------------- # Flags # -------------------------------------------------------------------- # Debug info is embedded in .obj and .lib files (CodeView /Z7 option) # but in .pdb files for .exe and .dll (since the linker does not # produce CodeView output anymore). # # CFLAGS # /nologo : CL does not display splash # _CRT_NO_DEPRECATE : Do not deprecate `insecure' fscanf, snprintf, ... # __LITTLE_ENDIAN__ : Signal little endian architecture # /I. : Add VLROOT to include search path # /MD : Multi-thread run-time library dynamically linked # /TC : Source code is C (not C++) # /W3 : Usa all warnings # /Zp8 : Align structures to 8 bytes # /Ox : Turn on optimizations # /D"DEBUG" : [DEBUG] Turn on debugging in VLFeat # /Z7 : [DEBUG] Embedded CodeView debug info in .obj # /D"NDEBUG" : [NO DEBUG] Switches off asserts # # LFLAGS # /NOLOGO : LINK does not display splash # /INCREMENTAL:NO : No incremental linking # /MANIFEST : See DLL HELL below # /DEBUG : [DEBUG] Generate debug info (.pdb files) # # MEX_FLAGS # -I : Include VLFeat # -L : Add a library search path # -l : Link a dll # # ======================= ABOUT THE DLL HELL ========================= # # This makefile compiles VLFeat to make use of the side-by-side # deployment model, redestribtin the appropraite Visual C runtime # library with the library and executables. In Visual Studio < 10.0 # this meant including a manifest file, while in version >= 10.0 this # requirement has been relaxed. # # References: # http://www.codeguru.com/forum/showthread.php?t=408061 # http://mariusbancila.ro/blog/2010/03/24/visual-studio-2010-changes-for-vc-part-5 # http://social.msdn.microsoft.com/Forums/is/vcgeneral/thread/ca9177b2-2d02-42d8-8892-c6a25e6cfadb # bindir = bin\$(ARCH) mexdir = toolbox\mex\$(MEXEXT) objdir = $(bindir)\objs CFLAGS = /nologo /TC /MD \ /D"_CRT_SECURE_NO_DEPRECATE" \ /D"__LITTLE_ENDIAN__" \ /I. \ /W1 /Zp8 /Ox LFLAGS = $(LFLAGS) /NOLOGO \ /INCREMENTAL:NO \ /MANIFEST !if "$(DEBUG)" != "no" !message === DEBUGGING ON CFLAGS = $(CFLAGS) /Z7 /D"DEBUG" LFLAGS = $(LFLAGS) /DEBUG !else !message === DEBUGGING OFF CFLAGS = $(CFLAGS) /D"NDEBUG" !endif DLL_CFLAGS = /D"VL_BUILD_DLL" EXE_LFLAGS = $(LFLAGS) /LIBPATH:"$(bindir)" vl.lib MEX_FLAGS = $(MEX_FLAGS) -f $(MEXOPT) -I. -Itoolbox -L"$(bindir)" -lvl libsrc = \ vl\aib.c \ vl\array.c \ vl\covdet.c \ vl\dsift.c \ vl\generic.c \ vl\getopt_long.c \ vl\hikmeans.c \ vl\hog.c \ vl\homkermap.c \ vl\host.c \ vl\ikmeans.c \ vl\imopv.c \ vl\imopv_sse2.c \ vl\kdtree.c \ vl\kmeans.c \ vl\lbp.c \ vl\mathop.c \ vl\mathop_sse2.c \ vl\mser.c \ vl\pegasos.c \ vl\pgm.c \ vl\quickshift.c \ vl\random.c \ vl\rodrigues.c \ vl\scalespace.c \ vl\sift.c \ vl\slic.c \ vl\stringop.c \ vl\svmdataset.c cmdsrc = \ src\aib.c \ src\mser.c \ src\sift.c \ src\test_gauss_elimination.c \ src\test_getopt_long.c \ src\test_heap-def.c \ src\test_host.c \ src\test_imopv.c \ src\test_mathop.c \ src\test_mathop_abs.c \ src\test_nan.c \ src\test_qsort-def.c \ src\test_rand.c \ src\test_stringop.c \ src\test_svd2.c \ src\test_threads.c \ src\test_vec_comp.c mexsrc = \ toolbox\aib\vl_aib.c \ toolbox\aib\vl_aibhist.c \ toolbox\geometry\vl_irodr.c \ toolbox\geometry\vl_rodr.c \ toolbox\imop\vl_imdisttf.c \ toolbox\imop\vl_imintegral.c \ toolbox\imop\vl_imsmooth.c \ toolbox\imop\vl_imwbackwardmx.c \ toolbox\imop\vl_tpsumx.c \ toolbox\kmeans\vl_hikmeans.c \ toolbox\kmeans\vl_hikmeanspush.c \ toolbox\kmeans\vl_ikmeans.c \ toolbox\kmeans\vl_ikmeanspush.c \ toolbox\kmeans\vl_kmeans.c \ toolbox\misc\vl_alldist.c \ toolbox\misc\vl_alldist2.c \ toolbox\misc\vl_binsearch.c \ toolbox\misc\vl_binsum.c \ toolbox\misc\vl_cummax.c \ toolbox\misc\vl_getpid.c \ toolbox\misc\vl_hog.c \ toolbox\misc\vl_homkermap.c \ toolbox\misc\vl_ihashfind.c \ toolbox\misc\vl_ihashsum.c \ toolbox\misc\vl_inthist.c \ toolbox\misc\vl_kdtreebuild.c \ toolbox\misc\vl_kdtreequery.c \ toolbox\misc\vl_lbp.c \ toolbox\misc\vl_localmax.c \ toolbox\misc\vl_maketrainingset.c \ toolbox\misc\vl_pegasos.c \ toolbox\misc\vl_sampleinthist.c \ toolbox\misc\vl_simdctrl.c \ toolbox\misc\vl_svmpegasos.c \ toolbox\misc\vl_twister.c \ toolbox\misc\vl_version.c \ toolbox\mser\vl_erfill.c \ toolbox\mser\vl_mser.c \ toolbox\quickshift\vl_quickshift.c \ toolbox\sift\vl_covdet.c \ toolbox\sift\vl_dsift.c \ toolbox\sift\vl_sift.c \ toolbox\sift\vl_siftdescriptor.c \ toolbox\sift\vl_ubcmatch.c \ toolbox\slic\vl_slic.c !if "$(ARCH)" == "win32" libobj = $(libsrc:vl\=bin\win32\objs\) cmdexe = $(cmdsrc:src\=bin\win32\) mexdll = $(mexsrc:.c=.mexw32) mexdll = $(mexdll:toolbox\sift=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\mser=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\imop=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\geometry=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\kmeans=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\misc=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\aib=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\quickshift=toolbox\mex\mexw32) mexdll = $(mexdll:toolbox\slic=toolbox\mex\mexw32) mexpdb = $(mexdll:.dll=.pdb) !elseif "$(ARCH)" == "win64" libobj = $(libsrc:vl\=bin\win64\objs\) cmdexe = $(cmdsrc:src\=bin\win64\) mexdll = $(mexsrc:.c=.mexw64) mexdll = $(mexdll:toolbox\sift=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\mser=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\imop=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\geometry=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\kmeans=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\misc=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\aib=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\quickshift=toolbox\mex\mexw64) mexdll = $(mexdll:toolbox\slic=toolbox\mex\mexw64) mexpdb = $(mexdll:.mexw64=.pdb) !endif libobj = $(libobj:.c=.obj) cmdexe = $(cmdexe:.c=.exe) cmdpdb = $(cmdexe:.exe=.pdb) # Visual Studio redistributable files MSVCR = Microsoft.VC$(MSVSVER).CRT !if $(MSVSVER) <= 90 # VS <= 2008 needs a manifest too bincrt = $(bindir)\msvcr$(MSVSVER).dll $(bindir)\$(MSVCR).manifest mexcrt = $(mexdir)\msvcr$(MSVSVER).dll $(mexdir)\$(MSVCR).manifest !else bincrt = $(bindir)\msvcr$(MSVSVER).dll mexcrt = $(mexdir)\msvcr$(MSVSVER).dll !endif !ifdef MATLABROOT all: $(bindir) $(objdir) $(mexdir) \ $(bincrt) $(bindir)\vl.lib $(bindir)\vl.dll \ $(cmdexe) \ $(mexcrt) $(mexdir)\vl.dll $(mexdll) !else all: $(bindir) $(objdir) \ $(bincrt) $(bindir)\vl.lib $(bindir)\vl.dll \ $(cmdexe) !endif BUILD_MEX=@echo .... CC [MEX] $(@) && \ $(MEX) $(MEX_FLAGS) "$(<)" -output $(@) # -------------------------------------------------------------------- # Maintenance rules # -------------------------------------------------------------------- clean: del /f /Q $(libobj) del /f /Q $(objdir) del /f /Q $(cmdpdb) del /f /Q $(mexpdb) archclean: if exist bin\$(ARCH) rmdir /S /Q bin\$(ARCH) if exist $(mexdir) rmdir /S /Q $(mexdir) distclean: if exist bin rmdir /S /Q bin if exist toolbox\mex rmdir /S /Q toolbox\mex info: @echo $(mexx) @echo ** bindir = $(bindir) @echo ** mexdir = $(mexdir) @echo ** objdir = $(objdir) @echo ** libsrc = $(libsrc) @echo ** libobj = $(libobj) @echo ** cmdsrc = $(cmdsrc) @echo ** cmdexe = $(cmdexe) @echo ** mexsrc = $(mexsrc) @echo ** mexdll = $(mexdll) @echo ** CC = $(CC) @echo ** CFLAGS = $(CFLAGS) @echo ** DLL_CFLAGS = $(DLL_CFLAGS) @echo ** MEX_FLAGS = $(MEX_FLAGS) @echo ** BUILD_MEX = "$(BUILD_MEX)" @echo ** MATLABROOT = $(MATLABROOT) @echo ** MEX = $(MEX) @echo ** MEXEXT = $(MEXEXT) @echo ** MEXOPT = $(MEXOPT) @echo ** MSVSVER = $(MSVSVER) @echo ** MSVCROOT = $(MSVCROOT) @echo ** MSVCR = $(MSVCR) @echo ** MSVCR_PATH = $(MSVCR_PATH) @echo ** bincrt = $(bincrt) @echo ** mexcrt = $(mexcrt) @echo ** WINSDKROOT = $(WINSDKROOT) @echo ** DEBUG = $(DEBUG) # -------------------------------------------------------------------- # Build rules # -------------------------------------------------------------------- # create directory if missing $(bindir) : mkdir $(bindir) $(objdir) : mkdir $(objdir) $(mexdir) : mkdir $(mexdir) # -------------------------------------------------------------------- # Rules to compile the VLFeat DLL # -------------------------------------------------------------------- # special sources with SSE2 support $(objdir)\mathop_sse2.obj : vl\mathop_sse2.c @echo .... CC [+SSE2] $(@) @$(CC) $(CFLAGS) $(DLL_CFLAGS) /arch:SSE2 /D"__SSE2__" /c /Fo"$(@)" "vl\$(@B).c" $(objdir)\imopv_sse2.obj : vl\imopv_sse2.c @echo .... CC [+SSE2] $(@) @$(CC) $(CFLAGS) $(DLL_CFLAGS) /arch:SSE2 /D"__SSE2__" /c /Fo"$(@)" "vl\$(@B).c" # vl\*.c -> $objdir\*.obj {vl}.c{$(objdir)}.obj: @echo .... CC $(@) @$(CC) $(CFLAGS) $(DLL_CFLAGS) /c /Fo"$(@)" "$(<)" # Link VLFeat DLL $(bindir)\vl.dll : $(libobj) @echo .. LINK [DLL] $(@R).dll $(LINK) /DLL $(LFLAGS) $(**) /OUT:"$(@)" @mt /nologo /outputresource:"$(@);#2" /manifest "$(@R).dll.manifest" @-del "$(@R).dll.manifest" # *.obj -> *.lib $(bindir)\vl.lib : $(libobj) @echo ... LIB $(@R).lib @lib $(**) /OUT:"$(@)" /NOLOGO # redistributable: msvcr__.dll => bin/win{32,64}/msvcr__.dll $(bindir)\$(MSVCR).manifest : "$(MSVCR_PATH)\$(MSVCR).manifest" copy $(**) "$(@)" $(bindir)\msvcr$(MSVSVER).dll: "$(MSVCR_PATH)\msvcr$(MSVSVER).dll" copy $(**) "$(@)" # -------------------------------------------------------------------- # Rules to compile the VLFeat EXE files # -------------------------------------------------------------------- # src\*.c -> $bindir\*.exe {src}.c{$(bindir)}.exe: @echo .... CC [EXE] $(@) @$(CC) $(CFLAGS) /Fe"$(@)" /Fo"$(@R).obj" "$(<)" /link $(EXE_LFLAGS) @MT /nologo /outputresource:"$(@);#1" /manifest "$(@).manifest" @-del "$(@).manifest" @-del "$(@R).obj" # -------------------------------------------------------------------- # Rules to compile the VLFeat MEX files # -------------------------------------------------------------------- startmatlab: "$(MATLABROOT)/bin/matlab.exe" -nodesktop # toolbox\*.c -> toolbox\*.dll {toolbox\sift}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\mser}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\imop}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\geometry}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\kmeans}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\aib}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\quickshift}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\misc}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) {toolbox\slic}.c{$(mexdir)}.$(MEXEXT): $(BUILD_MEX) # vl.dll => mexw{32,64}\vl.dll $(mexdir)\vl.dll : $(bindir)\vl.dll copy "$(**)" "$(@)" # redistributable: msvcr__.dll => bin/win{32,64}/msvcr__.dll $(mexdir)\$(MSVCR).manifest : "$(MSVCR_PATH)\$(MSVCR).manifest" copy $(**) "$(@)" $(mexdir)\msvcr$(MSVSVER).dll: "$(MSVCR_PATH)\msvcr$(MSVSVER).dll" copy $(**) "$(@)" # -------------------------------------------------------------------- # Rules to post the binary files # -------------------------------------------------------------------- bin-release: echo Fetching remote tags && \ $(GIT) fetch --tags && \ echo Checking out v$(VER) && \ $(GIT) checkout v$(VER) echo Rebuilding binaries for release if exist "bin\$(ARCH)" del /f /Q "bin\$(ARCH)" if exist "bin\mex\$(ARCH)" del /f /Q "toolbox\mex$(ARCH)" nmake /f Makefile.mak ARCH=$(ARCH) bin-commit: bin-release @echo Fetching remote tags && \ $(GIT) fetch --tags @echo Crearing/resetting and checking out branch $(BRANCH) to v$(VER) && \ $(GIT) branch -f $(BRANCH) v$(VER) && \ $(GIT) checkout $(BRANCH) @echo Adding binaries && \ $(GIT) add -f $(bincrt) && \ $(GIT) add -f "$(bindir)\vl.lib" && \ $(GIT) add -f "$(bindir)\vl.dll" && \ $(GIT) add -f $(cmdexe) && \ @echo Adding MEX files && \ $(GIT) add -f $(mexcrt) && \ $(GIT) add -f "$(mexdir)\vl.dll" && \ $(GIT) add -f $(mexdll) && \ @echo Commiting changes && \ $(GIT) commit -m "$(ARCH) binaries for version $(VER)" @echo Commiting and pushing to server the binaries && \ $(GIT) push -v --force bin $(BRANCH):refs/heads/$(BRANCH) && \ $(GIT) checkout v$(VER) && \ $(GIT) branch -D $(BRANCH) vlfeat-0.9.16/README000066400000000000000000000112071203326130700137460ustar00rootroot00000000000000 VLFeat (Vision Library Features) Version 0.9.15 ABOUT The VLFeat open source library implements popular computer vision algorithms including SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, and quick shift. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. VLFeat is distributed under the BSD license (see the COPYING file). The documentation is available online at http://www.vlfeat.org/index.html. A copy of the same is shipped with the library in doc/index.html. See also: * Installing VLFeat permanently in MATLAB: http://www.vlfeat.org/install-matlab.html * Using the command line utilities: http://www.vlfeat.org/install-shell.html * Linking to your C program: http://www.vlfeat.org/install-c.html * Compiling from source: http://www.vlfeat.org/compiling.html QUICK START WITH MATLAB To start using VLFeat as a MATLAB toolbox, download the latest VLFeat binary package from http://www.vlfeat.org/download/. Unpack it, for example by using WinZIP (Windows), by double clicking on the archive (Mac), or by using the command line (Linux and Mac): > tar xzf vlfeat-X.Y.Z-bin.tar.gz Here X.Y.Z denotes the latest version. Start MATLAB and run the VLFeat setup command: > run VLFEATROOT/toolbox/vl_setup Here VLFEATROOT is the path to the VLFeat directory created by unpacking the archive. All VLFeat demos can now be run in a row by the command: > vl_demo CHANGES 0.9.16 Added VL_COVDET(). This function implements the following detectors: DoG, Hessian, Harris Laplace, Hessian Laplace, Multiscale Hessian, Multiscale Harris. It also implements affine adaptation, estiamtion of feature orientation, computation of descriptors on the affine patches (including raw patches), and sourcing of custom feature frame. 0.9.15 Added VL_HOG() (HOG features). Added VL_SVMPEGASOS() and a vastly improved SVM implementation. Added IHASHSUM (hashed counting). Improved INTHIST (integral histogram). Added VL_CUMMAX(). Improved the implementation of VL_ROC() and VL_PR(). Added VL_DET() (Detection Error Trade-off (DET) curves). Improved the verbosity control to AIB. Added support for Xcode 4.3, improved support for past and future Xcode versions. Completed the migration of the old test code in toolbox/test, moving the functionality to the new unit tests toolbox/xtest. 0.9.14 Added SLIC superpixels. Added VL_ALPHANUM(). Improved Windows binary package and added support for Visual Studio 2010. Improved the documentation layout and added a proper bibliography. Bugfixes and other minor improvements. Moved from the GPL to the less restrictive BSD license. 0.9.13 Fixes Windows binary package. 0.9.12 Fixes vl_compile and the architecture string on Linux 32 bit. 0.9.11 Fixes a compatibility problem on older Mac OS X versions. A few bugfixes are included too. 0.9.10 Improves the homogeneous kernel map. Plenty of small tweaks and improvements. Make maci64 the default architecture on the Mac. 0.9.9 Added: sift matching example. Extended Caltech-101 classification example to use kd-trees. 0.9.8 Added: image distance transform, PEGASOS, floating point K-means, homogeneous kernel maps, a Caltech-101 classification example. Improved documentation. 0.9.7 Changed the Mac OS X binary distribution to require a less recent version of Mac OS X (10.5). 0.9.6 Changed the GNU/Linux binary distribution to require a less recent version of the C library. 0.9.5 Added kd-tree and new SSE-accelerated vector/histogram comparison code. Improved dense SIFT (dsift) implementation. Added Snow Leopard and MATLAB R2009b support. 0.9.4 Added quick shift. Renamed dhog to dsift and improved implementation and documentation. Improved tutorials. Added 64 bit Windows binaries. Many other small changes. 0.9.3 Namespace change (everything begins with a vl_ prefix now). Many other changes to provide compilation support on Windows with MATLAB 7. beta-3 Completions to the ikmeans code. beta-2 Many completions. beta-1 Initial public release. vlfeat-0.9.16/apps/000077500000000000000000000000001203326130700140305ustar00rootroot00000000000000vlfeat-0.9.16/apps/phow_caltech101.m000066400000000000000000000260451203326130700170770ustar00rootroot00000000000000function phow_caltech101 % PHOW_CALTECH101 Image classification in the Caltech-101 dataset % This program demonstrates how to use VLFeat to construct an image % classifier on the Caltech-101 data. The classifier uses PHOW % features (dense SIFT), spatial histograms of visual words, and a % Chi2 SVM. To speedup computation it uses VLFeat fast dense SIFT, % kd-trees, and homogeneous kernel map. The program also % demonstrates VLFeat PEGASOS SVM solver, although for this small % dataset other solvers such as LIBLINEAR can be more efficient. % % By default 15 training images are used, which should result in % about 64% performance (a good performance considering that only a % single feature type is being used). % % Call PHOW_CALTECH101 to train and test a classifier on a small % subset of the Caltech-101 data. Note that the program % automatically downloads a copy of the Caltech-101 data from the % Internet if it cannot find a local copy. % % Edit the PHOW_CALTECH101 file to change the program configuration. % % To run on the entire dataset change CONF.TINYPROBLEM to FALSE. % % The Caltech-101 data is saved into CONF.CALDIR, which defaults to % 'data/caltech-101'. Change this path to the desired location, for % instance to point to an existing copy of the Caltech-101 data. % % The program can also be used to train a model on custom data by % pointing CONF.CALDIR to it. Just create a subdirectory for each % class and put the training images there. Make sure to adjust % CONF.NUMTRAIN accordingly. % % Intermediate files are stored in the directory CONF.DATADIR. All % such files begin with the prefix CONF.PREFIX, which can be changed % to test different parameter settings without overriding previous % results. % % The program saves the trained model in % /-model.mat. This model can be used to % test novel images independently of the Caltech data. % % load('data/baseline-model.mat') ; # change to the model path % label = model.classify(model, im) ; % % AUTORIGHTS conf.calDir = 'data/caltech-101' ; conf.dataDir = 'data/' ; conf.autoDownloadData = true ; conf.numTrain = 15 ; conf.numTest = 15 ; conf.numClasses = 102 ; conf.numWords = 600 ; conf.numSpatialX = [2 4] ; conf.numSpatialY = [2 4] ; conf.quantizer = 'kdtree' ; conf.svm.C = 10 ; conf.svm.solver = 'pegasos' ; conf.svm.biasMultiplier = 1 ; conf.phowOpts = {'Step', 3} ; conf.clobber = false ; conf.tinyProblem = true ; conf.prefix = 'baseline' ; conf.randSeed = 1 ; if conf.tinyProblem conf.prefix = 'tiny' ; conf.numClasses = 5 ; conf.numSpatialX = 2 ; conf.numSpatialY = 2 ; conf.numWords = 300 ; conf.phowOpts = {'Verbose', 2, 'Sizes', 7, 'Step', 5} ; end conf.vocabPath = fullfile(conf.dataDir, [conf.prefix '-vocab.mat']) ; conf.histPath = fullfile(conf.dataDir, [conf.prefix '-hists.mat']) ; conf.modelPath = fullfile(conf.dataDir, [conf.prefix '-model.mat']) ; conf.resultPath = fullfile(conf.dataDir, [conf.prefix '-result']) ; randn('state',conf.randSeed) ; rand('state',conf.randSeed) ; vl_twister('state',conf.randSeed) ; % -------------------------------------------------------------------- % Download Caltech-101 data % -------------------------------------------------------------------- if ~exist(conf.calDir, 'dir') || ... (~exist(fullfile(conf.calDir, 'airplanes'),'dir') && ... ~exist(fullfile(conf.calDir, '101_ObjectCategories', 'airplanes'))) if ~conf.autoDownloadData error(... ['Caltech-101 data not found. ' ... 'Set conf.autoDownloadData=true to download the required data.']) ; end vl_xmkdir(conf.calDir) ; calUrl = ['http://www.vision.caltech.edu/Image_Datasets/' ... 'Caltech101/101_ObjectCategories.tar.gz'] ; fprintf('Downloading Caltech-101 data to ''%s''. This will take a while.', conf.calDir) ; untar(calUrl, conf.calDir) ; end if ~exist(fullfile(conf.calDir, 'airplanes'),'dir') conf.calDir = fullfile(conf.calDir, '101_ObjectCategories') ; end % -------------------------------------------------------------------- % Setup data % -------------------------------------------------------------------- classes = dir(conf.calDir) ; classes = classes([classes.isdir]) ; classes = {classes(3:conf.numClasses+2).name} ; images = {} ; imageClass = {} ; for ci = 1:length(classes) ims = dir(fullfile(conf.calDir, classes{ci}, '*.jpg'))' ; ims = vl_colsubset(ims, conf.numTrain + conf.numTest) ; ims = cellfun(@(x)fullfile(classes{ci},x),{ims.name},'UniformOutput',false) ; images = {images{:}, ims{:}} ; imageClass{end+1} = ci * ones(1,length(ims)) ; end selTrain = find(mod(0:length(images)-1, conf.numTrain+conf.numTest) < conf.numTrain) ; selTest = setdiff(1:length(images), selTrain) ; imageClass = cat(2, imageClass{:}) ; model.classes = classes ; model.phowOpts = conf.phowOpts ; model.numSpatialX = conf.numSpatialX ; model.numSpatialY = conf.numSpatialY ; model.quantizer = conf.quantizer ; model.vocab = [] ; model.w = [] ; model.b = [] ; model.classify = @classify ; % -------------------------------------------------------------------- % Train vocabulary % -------------------------------------------------------------------- if ~exist(conf.vocabPath) || conf.clobber % Get some PHOW descriptors to train the dictionary selTrainFeats = vl_colsubset(selTrain, 30) ; descrs = {} ; %for ii = 1:length(selTrainFeats) parfor ii = 1:length(selTrainFeats) im = imread(fullfile(conf.calDir, images{selTrainFeats(ii)})) ; im = standarizeImage(im) ; [drop, descrs{ii}] = vl_phow(im, model.phowOpts{:}) ; end descrs = vl_colsubset(cat(2, descrs{:}), 10e4) ; descrs = single(descrs) ; % Quantize the descriptors to get the visual words vocab = vl_kmeans(descrs, conf.numWords, 'verbose', 'algorithm', 'elkan') ; save(conf.vocabPath, 'vocab') ; else load(conf.vocabPath) ; end model.vocab = vocab ; if strcmp(model.quantizer, 'kdtree') model.kdtree = vl_kdtreebuild(vocab) ; end % -------------------------------------------------------------------- % Compute spatial histograms % -------------------------------------------------------------------- if ~exist(conf.histPath) || conf.clobber hists = {} ; parfor ii = 1:length(images) % for ii = 1:length(images) fprintf('Processing %s (%.2f %%)\n', images{ii}, 100 * ii / length(images)) ; im = imread(fullfile(conf.calDir, images{ii})) ; hists{ii} = getImageDescriptor(model, im); end hists = cat(2, hists{:}) ; save(conf.histPath, 'hists') ; else load(conf.histPath) ; end % -------------------------------------------------------------------- % Compute feature map % -------------------------------------------------------------------- psix = vl_homkermap(hists, 1, 'kchi2', 'gamma', .5) ; % -------------------------------------------------------------------- % Train SVM % -------------------------------------------------------------------- if ~exist(conf.modelPath) || conf.clobber switch conf.svm.solver case 'pegasos' lambda = 1 / (conf.svm.C * length(selTrain)) ; w = [] ; % for ci = 1:length(classes) parfor ci = 1:length(classes) perm = randperm(length(selTrain)) ; fprintf('Training model for class %s\n', classes{ci}) ; y = 2 * (imageClass(selTrain) == ci) - 1 ; data = vl_maketrainingset(psix(:,selTrain(perm)), int8(y(perm))) ; [w(:,ci) b(ci)] = vl_svmpegasos(data, lambda, ... 'MaxIterations', 50/lambda, ... 'BiasMultiplier', conf.svm.biasMultiplier) ; end case 'liblinear' svm = train(imageClass(selTrain)', ... sparse(double(psix(:,selTrain))), ... sprintf(' -s 3 -B %f -c %f', ... conf.svm.biasMultiplier, conf.svm.C), ... 'col') ; w = svm.w' ; end model.b = conf.svm.biasMultiplier * b ; model.w = w ; save(conf.modelPath, 'model') ; else load(conf.modelPath) ; end % -------------------------------------------------------------------- % Test SVM and evaluate % -------------------------------------------------------------------- % Estimate the class of the test images scores = model.w' * psix + model.b' * ones(1,size(psix,2)) ; [drop, imageEstClass] = max(scores, [], 1) ; % Compute the confusion matrix idx = sub2ind([length(classes), length(classes)], ... imageClass(selTest), imageEstClass(selTest)) ; confus = zeros(length(classes)) ; confus = vl_binsum(confus, ones(size(idx)), idx) ; % Plots figure(1) ; clf; subplot(1,2,1) ; imagesc(scores(:,[selTrain selTest])) ; title('Scores') ; set(gca, 'ytick', 1:length(classes), 'yticklabel', classes) ; subplot(1,2,2) ; imagesc(confus) ; title(sprintf('Confusion matrix (%.2f %% accuracy)', ... 100 * mean(diag(confus)/conf.numTest) )) ; print('-depsc2', [conf.resultPath '.ps']) ; save([conf.resultPath '.mat'], 'confus', 'conf') ; % ------------------------------------------------------------------------- function im = standarizeImage(im) % ------------------------------------------------------------------------- im = im2single(im) ; if size(im,1) > 480, im = imresize(im, [480 NaN]) ; end % ------------------------------------------------------------------------- function hist = getImageDescriptor(model, im) % ------------------------------------------------------------------------- im = standarizeImage(im) ; width = size(im,2) ; height = size(im,1) ; numWords = size(model.vocab, 2) ; % get PHOW features [frames, descrs] = vl_phow(im, model.phowOpts{:}) ; % quantize appearance switch model.quantizer case 'vq' [drop, binsa] = min(vl_alldist(model.vocab, single(descrs)), [], 1) ; case 'kdtree' binsa = double(vl_kdtreequery(model.kdtree, model.vocab, ... single(descrs), ... 'MaxComparisons', 15)) ; end for i = 1:length(model.numSpatialX) binsx = vl_binsearch(linspace(1,width,model.numSpatialX(i)+1), frames(1,:)) ; binsy = vl_binsearch(linspace(1,height,model.numSpatialY(i)+1), frames(2,:)) ; % combined quantization bins = sub2ind([model.numSpatialY(i), model.numSpatialX(i), numWords], ... binsy,binsx,binsa) ; hist = zeros(model.numSpatialY(i) * model.numSpatialX(i) * numWords, 1) ; hist = vl_binsum(hist, ones(size(bins)), bins) ; hists{i} = single(hist / sum(hist)) ; end hist = cat(1,hists{:}) ; hist = hist / sum(hist) ; % ------------------------------------------------------------------------- function [className, score] = classify(model, im) % ------------------------------------------------------------------------- hist = getImageDescriptor(model, im) ; psix = vl_homkermap(hist, 1, 'kchi2', 'period', .7) ; scores = model.w' * psix + model.b' ; [score, best] = max(scores) ; className = model.classes{best} ; vlfeat-0.9.16/apps/sift_mosaic.m000066400000000000000000000110151203326130700165040ustar00rootroot00000000000000function mosaic = sift_mosaic(im1, im2) % SIFT_MOSAIC Demonstrates matching two images using SIFT and RANSAC % % SIFT_MOSAIC demonstrates matching two images based on SIFT % features and RANSAC and computing their mosaic. % % SIFT_MOSAIC by itself runs the algorithm on two standard test % images. Use SIFT_MOSAIC(IM1,IM2) to compute the mosaic of two % custom images IM1 and IM2. % AUTORIGHTS if nargin == 0 im1 = imread(fullfile(vl_root, 'data', 'river1.jpg')) ; im2 = imread(fullfile(vl_root, 'data', 'river2.jpg')) ; end % make single im1 = im2single(im1) ; im2 = im2single(im2) ; % make grayscale if size(im1,3) > 1, im1g = rgb2gray(im1) ; else im1g = im1 ; end if size(im2,3) > 1, im2g = rgb2gray(im2) ; else im2g = im2 ; end % -------------------------------------------------------------------- % SIFT matches % -------------------------------------------------------------------- [f1,d1] = vl_sift(im1g) ; [f2,d2] = vl_sift(im2g) ; [matches, scores] = vl_ubcmatch(d1,d2) ; numMatches = size(matches,2) ; X1 = f1(1:2,matches(1,:)) ; X1(3,:) = 1 ; X2 = f2(1:2,matches(2,:)) ; X2(3,:) = 1 ; % -------------------------------------------------------------------- % RANSAC with homography model % -------------------------------------------------------------------- clear H score ok ; for t = 1:100 % estimate homograpyh subset = vl_colsubset(1:numMatches, 4) ; A = [] ; for i = subset A = cat(1, A, kron(X1(:,i)', vl_hat(X2(:,i)))) ; end [U,S,V] = svd(A) ; H{t} = reshape(V(:,9),3,3) ; % score homography X2_ = H{t} * X1 ; du = X2_(1,:)./X2_(3,:) - X2(1,:)./X2(3,:) ; dv = X2_(2,:)./X2_(3,:) - X2(2,:)./X2(3,:) ; ok{t} = (du.*du + dv.*dv) < 6*6 ; score(t) = sum(ok{t}) ; end [score, best] = max(score) ; H = H{best} ; ok = ok{best} ; % -------------------------------------------------------------------- % Optional refinement % -------------------------------------------------------------------- function err = residual(H) u = H(1) * X1(1,ok) + H(4) * X1(2,ok) + H(7) ; v = H(2) * X1(1,ok) + H(5) * X1(2,ok) + H(8) ; d = H(3) * X1(1,ok) + H(6) * X1(2,ok) + 1 ; du = X2(1,ok) - u ./ d ; dv = X2(2,ok) - v ./ d ; err = sum(du.*du + dv.*dv) ; end if exist('fminsearch') == 2 H = H / H(3,3) ; opts = optimset('Display', 'none', 'TolFun', 1e-8, 'TolX', 1e-8) ; H(1:8) = fminsearch(@residual, H(1:8)', opts) ; else warning('Refinement disabled as fminsearch was not found.') ; end % -------------------------------------------------------------------- % Show matches % -------------------------------------------------------------------- dh1 = max(size(im2,1)-size(im1,1),0) ; dh2 = max(size(im1,1)-size(im2,1),0) ; figure(1) ; clf ; subplot(2,1,1) ; imagesc([padarray(im1,dh1,'post') padarray(im2,dh2,'post')]) ; o = size(im1,2) ; line([f1(1,matches(1,:));f2(1,matches(2,:))+o], ... [f1(2,matches(1,:));f2(2,matches(2,:))]) ; title(sprintf('%d tentative matches', numMatches)) ; axis image off ; subplot(2,1,2) ; imagesc([padarray(im1,dh1,'post') padarray(im2,dh2,'post')]) ; o = size(im1,2) ; line([f1(1,matches(1,ok));f2(1,matches(2,ok))+o], ... [f1(2,matches(1,ok));f2(2,matches(2,ok))]) ; title(sprintf('%d (%.2f%%) inliner matches out of %d', ... sum(ok), ... 100*sum(ok)/numMatches, ... numMatches)) ; axis image off ; drawnow ; % -------------------------------------------------------------------- % Mosaic % -------------------------------------------------------------------- box2 = [1 size(im2,2) size(im2,2) 1 ; 1 1 size(im2,1) size(im2,1) ; 1 1 1 1 ] ; box2_ = inv(H) * box2 ; box2_(1,:) = box2_(1,:) ./ box2_(3,:) ; box2_(2,:) = box2_(2,:) ./ box2_(3,:) ; ur = min([1 box2_(1,:)]):max([size(im1,2) box2_(1,:)]) ; vr = min([1 box2_(2,:)]):max([size(im1,1) box2_(2,:)]) ; [u,v] = meshgrid(ur,vr) ; im1_ = vl_imwbackward(im2double(im1),u,v) ; z_ = H(3,1) * u + H(3,2) * v + H(3,3) ; u_ = (H(1,1) * u + H(1,2) * v + H(1,3)) ./ z_ ; v_ = (H(2,1) * u + H(2,2) * v + H(2,3)) ./ z_ ; im2_ = vl_imwbackward(im2double(im2),u_,v_) ; mass = ~isnan(im1_) + ~isnan(im2_) ; im1_(isnan(im1_)) = 0 ; im2_(isnan(im2_)) = 0 ; mosaic = (im1_ + im2_) ./ mass ; figure(2) ; clf ; imagesc(mosaic) ; axis image off ; title('Mosaic') ; if nargout == 0, clear mosaic ; end end vlfeat-0.9.16/bin/000077500000000000000000000000001203326130700136355ustar00rootroot00000000000000vlfeat-0.9.16/bin/glnx86/000077500000000000000000000000001203326130700147635ustar00rootroot00000000000000vlfeat-0.9.16/bin/glnx86/aib000077500000000000000000000177111203326130700154530ustar00rootroot00000000000000ELF44 ("444,0((( Qtd/lib/ld-linux.so.2GNU   z= CQ{6\ FD b% libpthread.so.0_Jv_RegisterClasses__gmon_start__libvl.so_initvl_aib_deletevl_aib_new_finivl_aib_processlibc.so.6printfmemcpyputs_IO_stdin_used__libc_start_main_edata__bss_start_end$ORIGIN/GLIBC_2.0qii | U5%%h%h%h%h%h %h(%h01^PTRhh<QVh0UStЃ[]Ë$U=t ҡuUtt $ÐU`W1VS L$\$$ $Pt&$X\$Nu$\yu$b1f$eZ D$T$$Zlj$w,'\$C$rD$Hu<$ $|e1[^_]ÐUWV1S7 E)9sE)9r [^_]U]=u})u:]u}]ÐUStЋCu[]ÐUSs[]>yX5?N@a?_LJ?}?5^I?K=U?&S?u?{P?V-??|a2U?6[ ?NbX9?37?S?HPs?Q?Ciq?t$~? 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UكE 1ҋu B9uL[^_]Eك'M UЋU¸D$\$ t$G$]W OEȅt'EU1ҍv'B9uEG;Ew%كL[^_]ÐUVS誒\P@tЋFu[^]USwßm[]aib: (%5d,%5d)=%5d dE: %10.3g I: %6.4g H: %6.4g updt: %5d ɈɈDoGHessianLaplaceHarrisLaplaceMultiscaleHessianMultiscaleHarris?>??@@ApA@????;f?{Gz??DJW??-DT!?jt?ffffff??4lx:>w?-DT!@0.9.16no$tIVLFeat version %s Static config: %s %u CPU(s): %s Debug: %s %s: illegal option -- %s %s: illegal option -- %c =%s: option requires an argument -- %s %s: option requires an argument -- %c hikmeans: branch at depth %d: %6.1f %% completed B-C6??-DT! @-DT!?!3|@|=[q>@E@q= ףp@333333 @(\@(\@ ףp= @ffffff@(\@!@333333)@(\B#@q= ףp@Gz?)\( @m0_?-DT! @@GNU C %d ILP32POSIX_threads, SSE2IX86, little_endian%s, %s, %s SSE42 SSE41 SSE3 SSE MMX%s%s%s%s%s%s%sikm: training with %d data ikm: %d clusters ikm: Elkan algorithm: total iterations: %d ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f) %I?@@:0yE>kuaakkuu> =kmeans: Lloyd iter %d: energy = %g kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: K-means initialized in %.2f s kmeans: K-means termineted in %.2f s with energy %g kmeans: repetition %d of %d .%&& &&%%%%%:&B&J&4&4&%&R&Z&&&&&&&&&&&'"'*''''2':' ARRRRRRRRRRTTRRTRRRRRRRRRRRRRRRRRRTRRT#SSSSSSSSSSaTaTSSaTSSSSSSSSSSSSSSSSSSaTSSiTSvSvSvSvSvSvSvSvSvSTTvSvSTvSvSvSvSvSvSvSvSvSvSvSvSvSvSvSvSvSvSTvSvST%d %udInvalid PGM dataP5 %d %d %d Error writing PGM datawbrbError opening PGM file for writingError opening PGM file `%s' for readingvl_pgm_read(): PGM with BPP > 1 not supportedCư>?@ȽAB9B.?333333?333333|=;f?{Gz$@9@B@h㈵>://asciibin` t@   `<<:o9oo6o @@@@@@AA"A2ABARAbArAAAAAAAAABB"B2BBBRBbBrBBBBBBBBBCC"C2CBCRCbCrCCCCCCCCCDD"D2DBDRDbDrDDDDDDDDDEE"E2EBEREbErEEEEEEEEEFF"F2FBFRFbFrFFFFFFFFFGG"G2GBGRGbGrGGGGGGGGGHH"H2HBHRHbHrHHHHHHHHHII"I2IBIRI׷ͷ߷߰GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: 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`I$,I@/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91%%P /build/buildd/glibc-2.3.6/build-tree/i386-libc/csucrti.SI=.!/!Ygt@!/=`I !/!Yg=g//0=!!P /build/buildd/glibc-2.3.6/build-tree/i386-libc/csucrtn.SI!==!!@ !.symtab.strtab.shstrtab.hash.dynsym.dynstr.gnu.version.gnu.version_r.rel.dyn.rel.plt.init.text.fini.rodata.eh_frame.ctors.dtors.jcr.dynamic.got.got.plt.data.bss.comment.debug_aranges.debug_info.debug_abbrev.debug_lineX !   )1o66>o99M <:<:V <<` _t@t@Z@@e`I`Imkq00^ y    <l l ljh@ ` 9`0! 7# 69<:<t@@ `I  0    F`I Vao }I I V ж  FL0 U]`Z bZ gZ luZ qZ v [2    `f  *8`CN Vw ]c_ z    7  @  Ļ hR )0kh Fls a n yo rV x {0 P Ȼ  , Bz d0j  Y 2 + ˋ 9  ! ^      y  Z     % + 1 7 = C I O U [ a g m: s y     y q i        D _$ P$ ^& d& $ $  & & 1% %"% *% /% 4 AJdUL anuld R  P T d Y K @/ p -`6P IO Wp; v@O @LI 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initfini.c/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.Scall_gmon_startcrtstuff.c__CTOR_LIST____DTOR_LIST____JCR_LIST__completed.4463p.4462__do_global_dtors_auxframe_dummy__CTOR_END____DTOR_END____FRAME_END____JCR_END____do_global_ctors_aux/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.Saib.cvl_nan_darray.c.L34.L35.L36.L37.L38covdet.cvl_infinity_d_vl_covdet_compare_orientations_descendingdsift.c_vl_dsift_free_buffersgeneric.cdo_nothing_printfvl_destructorvl_constructorgetopt_long.coptend.2735optbegin.2734place.2733hikmeans.cxdeletexmeanshog.cvl_hog_prepare_buffershomkermap.chost.cikmeans.ccmp_pairimopv.cvl_infinity_f_vl_new_gaussian_fitler_f_vl_new_gaussian_fitler_dimopv_sse2.ckdtree.cvl_nan_fvl_kdtree_compare_index_entriesvl_kdforest_neighbor_heap_upvl_kdforest_search_heap_upvl_kdtree_split_heap_upvl_kdforest_search_heap_downvl_kdforest_neighbor_heap_downvl_kdtree_split_heap_downvl_kdtree_build_recursivelyvl_kdtree_calc_bounds_recursivelykmeans.c_vl_kmeans_quantize_d_vl_kmeans_quantize_f_vl_kmeans_d_qsort_sort_recursive_vl_kmeans_f_qsort_sort_recursive_vl_kmeans_refine_centers_lloyd_d.L24.L25.L26.L27.L28.L16.L17.L18.L19.L1241.L1242.L1243.L1244.L1245lbp.cmathop.c.L437.L438.L439.L440.L441.L442.L443.L444.L445.L446.L452.L453.L454.L449.L455.L456.L457.L462.L463.L464.L465.L466.L467.L468.L469.L470.L471.L477.L478.L479.L474.L480.L481.L482mathop_sse2.cmser.cpegasos.cpgm.c.L21.L20.L22.L23.L31.L30.L32.L33.L41.L40.L42.L43quickshift.crandom.cmag01.2050rodrigues.cscalespace.csift.c_vl_sift_smoothupdate_gradientslic.cdy.3616dx.3615stringop.csvmdataset.c__i686.get_pc_thunk.cxvl_aib_merge_nodes_DYNAMIC_vl_dsift_new_kernel__dso_handlevl_hikm_copy_subsetexpn_tabvl_aib_update_betavl_aib_new_Pc_vl_x86cpu_info_to_string_copyvl_aib_new_Px_vl_scalespace_fill_octavevl_aib_new_nodelist_vl_covdet_check_frame_insidevl_aib_normalize_P_vl_x86cpu_info_init__i686.get_pc_thunk.bx_GLOBAL_OFFSET_TABLE_vl_aib_calculate_informationvl_covdet_extract_patch_helpervl_svm_compute_diagnosticvl_aib_min_betavl_set_printf_funcpthread_cond_wait@@GLIBC_2.3.2vl_homogeneouskernelmap_deletevl_imconvcol_vdpthread_getspecific@@GLIBC_2.0cos@@GLIBC_2.0vl_scalespace_get_geometryvl_kmeans_refine_centersvl_hog_extractvl_covdet_get_gssfgetc@@GLIBC_2.0_vl_kernel_l2_d_vl_dsift_update_buffersvl_homogeneouskernelmap_newvl_lbp_processvl_covdet_get_num_features_vl_distance_l1_dvl_pgm_insertstrchr@@GLIBC_2.0vl_hog_rendervl_scalespace_put_imagevl_svmdataset_set_mapvl_svmdataset_deletegetopt_longvl_array_get_num_elementsvl_gaussian_eliminationvl_imgradient_polar_dvl_svmdataset_accumulator_fvl_scalespace_get_levelungetc@@GLIBC_2.0vl_dsift_new_basicvl_eval_vector_comparison_on_all_pairs_f__ctype_tolower_loc@@GLIBC_2.3vl_hog_get_glyph_sizelround@@GLIBC_2.1vl_array_newvl_array_init_vl_kernel_l1_sse2_dvl_image_distance_transform_f_vl_kernel_l2_sse2_fvlCovdetMethodsvl_refine_local_extreum_3vl_slic_segmentvl_covdet_resetstrcmp@@GLIBC_2.0vl_ikm_deletevl_covdet_get_non_extrema_suppression_thresholdvl_array_new_matrix_envelopevl_array_init_matrix_vl_distance_js_dvl_scalespace_deletefprintf@@GLIBC_2.0vl_pgm_writevl_covdet_append_featurevl_covdet_set_edge_thresholdfmod@@GLIBC_2.0vl_dsift_deletepowf@@GLIBC_2.0clock@@GLIBC_2.0frexp@@GLIBC_2.0vl_imgradient_polar_fvl_kmeans_deletevl_hog_newvl_sift_detectvl_string_basename_vl_distance_l2_sse2_dvl_sift_newoptargvl_array_new_matrix_vl_kernel_chi2_fvl_string_protocol_namevsnprintf@@GLIBC_2.0vl_ikm_trainvl_set_alloc_funcvl_scalespace_newvl_covdet_extract_laplacian_scalesvl_rand_uint32vl_ikm_newvl_covdet_get_octave_resolutionvl_covdet_delete_vl_stateopterrvl_covdet_extract_affine_shape_for_framevl_hikm_deletevl_mser_deletevl_kdforest_delete_vl_kernel_chi2_sse2_dpow@@GLIBC_2.0_vl_kernel_l1_dvl_pgm_read_newvl_static_configuration_to_string_copyvl_svmdataset_innerproduct_dvl_find_local_extrema_2vl_covdet_set_peak_threshold_vl_imconvcol_vd_sse2expf@@GLIBC_2.0vl_pgm_write_fvl_covdet_set_non_extrema_suppression_thresholdvl_kmeans_cluster_initvl_covdet_get_peak_thresholdvl_thread_specific_state_newvl_kdforest_querymalloc@@GLIBC_2.0acosf@@GLIBC_2.0vl_solve_linear_system_2vl_mser_newpthread_mutex_init@@GLIBC_2.0fscanf@@GLIBC_2.0vl_ikm_initpthread_mutex_destroy@@GLIBC_2.0vl_sift_calc_keypoint_descriptorvl_hikm_pushvl_covdet_drop_features_outsidevl_aib_deletefread@@GLIBC_2.0_vl_kernel_hellinger_dvl_tocvl_array_init_matrix_envelopevl_rand_initlog2@@GLIBC_2.1_vl_distance_js_fvl_hog_get_heightstderr@@GLIBC_2.0vl_covdet_set_octave_resolutionabort@@GLIBC_2.0vl_svmdataset_innerproduct_fvl_get_randvl_svd2_vl_distance_l2_sse2_fvl_imsmooth_fvl_imgradient_d_vl_kernel_chi2_sse2_fsysconf@@GLIBC_2.0vl_rand_seed_by_arrayvl_covdet_get_edge_threshold_vl_distance_chi2_sse2_doptind_vl_kernel_l1_sse2_fvl_string_replace_wildcardvl_aib_new_vl_distance_l2_dvl_svmpegasos_train_vl_distance_chi2_fvl_pgm_read_new_fvl_sift_calc_raw_descriptorvl_rodriguesvl_dsift_newvl_irodriguesvl_svmpegasos_train_validation_datapthread_mutex_lock@@GLIBC_2.0vl_imintegral_dvl_scalespace_get_octave_geometryvl_sift_process_next_octavevl_enumeration_get_vl_kernel_l2_sse2_dvl_kdforest_new_vl_distance_l1_fstrstr@@GLIBC_2.0strlen@@GLIBC_2.0vl_imintegral_ui32vl_hog_get_permutationvl_imintegral_fvl_mser_process_vl_kernel_chi2_dqsort@@GLIBC_2.0pthread_setspecific@@GLIBC_2.0pthread_key_create@@GLIBC_2.0atan2@@GLIBC_2.0vl_covdet_get_first_octavevl_covdet_extract_affine_shapevl_covdet_extract_laplacian_scales_for_frame_vl_kernel_hellinger_fpthread_cond_signal@@GLIBC_2.3.2log2f@@GLIBC_2.1vl_hog_get_dimension_vl_kernel_l2_fvl_sift_deletestrncmp@@GLIBC_2.0vl_covdet_get_transposed_vl_distance_l1_sse2_dvl_quickshift_deletefloor@@GLIBC_2.0vl_kdforest_query_recursivelyvl_kmeans_seed_centers_with_rand_datavl_covdet_extract_orientations__bss_startpthread_self@@GLIBC_2.0vl_covdet_extract_patch_for_framevl_get_cpu_timevl_covdet_detectvl_set_last_errorvl_array_new_envelopevl_pgm_extract_datapthread_cond_init@@GLIBC_2.3.2vl_covdet_get_cssvl_kdforest_buildexp@@GLIBC_2.0vl_lbp_deletevl_string_casei_cmpsqrtf@@GLIBC_2.0vl_covdet_put_imagevl_kmeans_set_centerspthread_key_delete@@GLIBC_2.0realloc@@GLIBC_2.0vl_find_local_extrema_3vl_covdet_set_aa_accurate_smoothingvl_lapack_dlasv2vl_kmeans_seed_centers_plus_plusprintf@@GLIBC_2.0vl_covdet_newvl_scalespace_get_level_sigmavl_solve_linear_system_3_finimemcpy@@GLIBC_2.0sqrt@@GLIBC_2.0_vl_distance_hellinger_fvl_homogeneouskernelmap_evaluate_fvl_kmeans_quantizefclose@@GLIBC_2.1vl_scalespace_new_with_geometryoptresetvl_svmdataset_newvl_enumeration_get_by_valuevl_covdet_set_transposed__cxa_finalize@@GLIBC_2.1.3vl_covdet_get_aa_accurate_smoothingvl_hikm_trainsnprintf@@GLIBC_2.0vl_hog_get_use_bilinear_orientation_assignments_vl_distance_l1_sse2_fvl_quickshift_processvl_ikm_pushvl_kmeans_new_copyvl_imgradient_fvl_sift_calc_keypoint_orientationsvl_eval_vector_comparison_on_all_pairs_dvl_imconvcoltri_dvl_pgm_get_bppvl_string_find_char_revvl_pgm_extract_headvl_lock_statevl_covdet_set_first_octave_vl_kernel_js_fvl_hog_set_use_bilinear_orientation_assignmentsexit@@GLIBC_2.0vl_scalespace_clone_structure_vl_distance_chi2_sse2_fcalloc@@GLIBC_2.0vl_sift_keypoint_initvl_hikm_newvl_pgm_get_npixels_vl_distance_chi2_d_edatafree@@GLIBC_2.0_endvl_imconvcoltri_fvl_string_parse_protocolvl_hog_deletevl_configuration_to_string_copyvl_lbp_newvl_string_lengthacos@@GLIBC_2.0memset@@GLIBC_2.0vl_svmpegasos_deletevl_sift_process_first_octavevl_covdet_get_featuresvl_homogeneouskernelmap_evaluate_dvl_svmdataset_accumulator_dpthread_cond_destroy@@GLIBC_2.3.2vl_array_deletevl_kmeans_resetvl_enumeration_get_caseivl_image_distance_transform_dfopen@@GLIBC_2.1vl_refine_local_extreum_2vl_covdet_get_num_non_extrema_suppressedvl_get_vector_comparison_function_fvl_unlock_statevl_hikm_initpthread_mutex_unlock@@GLIBC_2.0vl_string_copyvl_thread_specific_state_deletevl_quickshift_newvl_rand_seedvl_imintegral_i32pthread_equal@@GLIBC_2.0_vl_kernel_js_dvl_hog_put_imagefwrite@@GLIBC_2.0vl_mser_ell_fitvl_svmpegasos_newsin@@GLIBC_2.0vl_hog_put_polar_fieldvl_dsift_process_Jv_RegisterClassesvl_imsmooth_dvl_string_copy_subvl_aib_processvl_scalespace_clonevl_covdet_get_laplacian_scales_statisticsvl_ikm_init_randvl_get_version_stringlog@@GLIBC_2.0vl_kmeans_new_vl_distance_hellinger_dvl_array_init_envelopevl_ikm_push_oneoptopt@@GLIBC_2.0vl_ticvl_get_vector_comparison_function_dvl_covdet_extract_orientations_for_frame_vl_kernel_l1_fvl_hog_get_width_vl_imconvcol_vf_sse2_vl_distance_l2_fvl_array_dealloc__gmon_start__ceil@@GLIBC_2.0ldexp@@GLIBC_2.0vl_ikm_init_rand_datavl_imconvcol_vfvlfeat-0.9.16/bin/glnx86/mser000077500000000000000000000604361203326130700156700ustar00rootroot00000000000000ELF4N4 ("444XDXDXDXX`lDll((( Qtd/lib/ld-linux.so.2GNU%1.&0'(,+#-*)/ %!  $ " eB!q7zX Q ,  93xZ61, F%87F7Z@h1ql{E2VKd9% M libpthread.so.0pthread_getspecific_Jv_RegisterClassespthread_setspecific__gmon_start__libvl.sogetopt_longvl_string_basenameoptargvl_string_protocol_name_vl_statevl_mser_delete_initvl_thread_specific_state_newvl_mser_newoptindvl_string_replace_wildcardvl_mser_processvl_pgm_extract_data_finivl_pgm_get_bppvl_pgm_extract_headvl_lock_statevl_pgm_get_npixelsvl_string_parse_protocolvl_string_lengthvl_unlock_statevl_string_copyvl_mser_ell_fitvl_get_version_stringlibc.so.6snprintfmemcpyputsmallocabortfprintfsscanffclosestderrfputcfwriteexitfopen_IO_stdin_used__libc_start_mainfree_edata__bss_start_end$ORIGIN/GLIBC_2.1GLIBC_2.00ii ii ii L0\`dhlpt x |   !"$&'()+,-/U5T%X%\h%`h%dh%hh%lh %ph(%th0%xh8p%|h@`%hHP%hP@%hX0%h` %hh%hp%hx%h%h%h%h%h%h%h%hp%h`%hP%h@%h0%h %h%h%h%h%h%h%h1^PTRhhdQVhpUScHtЃ[]Ë$U=t ҡuUhtt $hÐU(]É}ωuu1]u}]1%T$D$CL$ D$T$4$w=wZt|$4$u$tn\$$Kfa$Tt&\$$ (#Ð뉐t&U WVS P}D$u UUUU]EE\$$` T$L$$ D$@D$|$1('1D$D$ PD$t$<$L=;dvv=t&hx=0[=t&ED$UD$$GtE (|\$|$$vE$D$UtM|BF‰$\$T$$=DD$ D$D$$D$\$ D$eD$$$=t&|tDE$D$UW|BF‰$aw:?٢D\$L$$D$ ED$UD$$3tE LD$E؉D$UD$$tEDD$ D$Zt&=%ED$YD$$t }D$D$$ t&EȺUD$T$$CtE $D$똋$`D$wD$$aD$$KD$$5P$7D$3D$${EYD$L$$~t }pT$EЉD$UD$$CtE $\$L$$DT$D$ y(E$D$U"|BF‰$|D$\$$=VD$\$$=yt&9)Ǎ`duE‰($\$pD$#D$$ $/$D$$3$pD$D$$$$D$$ţ|$pD$wD$$a$$D$C11$P+((~\$$ &D$<$L)ڍ8)ڍ{ )ڍ|Pp(~*|LED$$uv(E$U$7؉$\ D$LUT$$ \|$\$$1ɉ4 $%4t4$ L$t1$kt1ۉ$Qt$91ɉPP9d<`<\$t$ $|$=ף|$ L$T$$,D$ `|$\$$LQD$t$ T$$:$|$$ +D$D$$낸<D$D$|$ $V$e[^_]øF뛋E]\$$EEE\$$,,҉0@8EVٽn,nf fl٭lߝj٭njBXE,X\E,ZdE,XlE,ZtEٽn0nf fl٭lߝj٭njBXE0X\E<0ZdE0XlE0Zt([UE1҉4|1=,t,$00$ D$$JD$$n!D$$SE$D$ED$4  ~,D$1ۉ|$$ 4 ؐt&r؉U؉$p,BX$D$,@\$\$l,Bd$\$S,@l$֤\$:,Bt$\$!؍vU1$wÍE$*؉$O4& D24ЈD2E$F+9׋440T$$10B,r4 mser: err: %s (%d) %s: error: %s (%d) hvphud{ʢvhd:Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --seeds Specify seeds file --frames Specify frames file --meta Specify meta file --delta -d Specify MSER delta paramter --epsilon -e Specify MSER epsilon parameter --no-dups Remove duplicate --dups Keep duplicates --max-area Specify maximum region (relative) area --min-area Specify minimum region (relative) area --max-variation Specify maximum absolute region stability --bright-on-dark Enable or disable bright-on-dark regions (default 1) --dark-on-bright Enable or disable dark-on-bright regions (default 1) %.meta%.mser%.frameMissing mandatory argument for option '%s'.The argument of '%s' must be a non-negative number.max-area argument must be in the [0,1] range.min-area argument must be in the [0,1] range.max-variation argument must be non-negative.min-diversity argument must be in the [0,1] range.The arguments of '%s' is invalid.meta file supports only ASCII protocolbright_on_dark must be 0 or 1.dark_on_bright must be 0 or 1.Could not open '%s' for reading.Could not open '%s' for writing.mser: writing seeds to '%s' mser: writing frames to '%s' mser: writing meta to '%s' mser: image is %u by %u pixels Could not allocate enough memory.Could not create an MSER filter.\ X ,H  P 8(ooo^lƊ֊&6FVfvƋ֋&6FVfvdGCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)"4 ,X $,Cm!zy_IO_stdin_usedv../sysdeps/i386/elf/start.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91[bTVintFK]dOV/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91f//build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91%% $ > $ > 4: ; I?  &I%%W2 ../sysdeps/i386/elfstart.S3!4=%" YZ!"\[# init.cP /build/buildd/glibc-2.3.6/build-tree/i386-libc/csucrti.S=,.!/!YgX!/= !/!Yg=g//0=!!P /build/buildd/glibc-2.3.6/build-tree/i386-libc/csucrtn.S!=C=!!m !init.cshort int/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csulong long intunsigned charGNU C 3.4.6 (Ubuntu 3.4.6-1ubuntu2)long long unsigned intshort unsigned int_IO_stdin_used.symtab.strtab.shstrtab.interp.note.ABI-tag.hash.dynsym.dynstr.gnu.version.gnu.version_r.rel.dyn.rel.plt.init.text.fini.rodata.eh_frame.ctors.dtors.jcr.dynamic.got.got.plt.data.bss.comment.debug_aranges.debug_pubnames.debug_info.debug_abbrev.debug_line.debug_str#(( 1HH`7 ?Go^^bToPc  (l 88  uXX ppp P{ l,,"``"! 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(/:t X`h  ; \d Th$ /:t{`  @ `  lXXXPX1:BF`M!`sz7J `zX Q&8IPk r dQ p P  6&, ,F>P8ds71 '28VHdWfx  abi-note.S../sysdeps/i386/elf/start.Sinit.cinitfini.c/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.Scall_gmon_startcrtstuff.c__CTOR_LIST____DTOR_LIST____JCR_LIST__completed.4463p.4462__do_global_dtors_auxframe_dummy__CTOR_END____DTOR_END____FRAME_END____JCR_END____do_global_ctors_aux/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.Smser.cvl_file_meta_openC.15.4061C.14.4060C.13.4059_DYNAMIC__fini_array_end__fini_array_start__init_array_end_GLOBAL_OFFSET_TABLE___init_array_startpthread_getspecific@@GLIBC_2.0longoptsgetopt_long_fp_hwfprintf@@GLIBC_2.0vl_string_basenameoptargvl_string_protocol_name__dso_handle__libc_csu_fini_vl_statevl_mser_deletehelp_messageputs@@GLIBC_2.0_initvl_thread_specific_state_newmalloc@@GLIBC_2.0vl_mser_newstderr@@GLIBC_2.0abort@@GLIBC_2.0optindvl_string_replace_wildcard_startvl_mser_processpthread_setspecific@@GLIBC_2.0fputc@@GLIBC_2.0__libc_csu_init__bss_startmainvl_pgm_extract_data__libc_start_main@@GLIBC_2.0optsdata_startprintf@@GLIBC_2.0_finimemcpy@@GLIBC_2.0fclose@@GLIBC_2.1snprintf@@GLIBC_2.0vl_pgm_get_bppvl_pgm_extract_headvl_lock_stateexit@@GLIBC_2.0vl_pgm_get_npixelssscanf@@GLIBC_2.0_edata__i686.get_pc_thunk.bxfree@@GLIBC_2.0_endvl_string_parse_protocolvl_string_lengthfopen@@GLIBC_2.1vl_unlock_state_IO_stdin_usedvl_string_copyfwrite@@GLIBC_2.0vl_mser_ell_fit__data_start_Jv_RegisterClassesvl_get_version_string__gmon_start__vlfeat-0.9.16/bin/glnx86/sift000077500000000000000000001111321203326130700156550ustar00rootroot00000000000000ELF4}4 ("444ssss((( Qtd/lib/ld-linux.so.2GNU%:7!/90&265,)43 8(.%*  $# '-+1"e}sB!h7pz  Q!  69RdaH6u F~8{+7}1d)("^2?VO% ^M libpthread.so.0pthread_getspecific_Jv_RegisterClassespthread_setspecific__gmon_start__libvl.sovl_pgm_insertgetopt_longvl_sift_detectvl_string_basenamevl_sift_newoptargvl_string_protocol_name_vl_statevl_thread_specific_state_newvl_sift_calc_keypoint_descriptoroptindvl_string_replace_wildcardvl_sift_process_next_octavevl_sift_deletevl_pgm_extract_data_finivl_sift_calc_keypoint_orientationsvl_pgm_get_bppvl_pgm_extract_headvl_lock_statevl_sift_keypoint_initvl_pgm_get_npixelsvl_string_parse_protocolvl_string_lengthvl_sift_process_first_octavevl_unlock_statevl_string_copyvl_get_version_stringlibc.so.6snprintfqsortfscanfmemcpyputsmallocabortfprintfreallocsscanffreadfclosestderrfputcfwriteexitfopen_IO_stdin_used__libc_start_mainfree_edata__bss_start_end$ORIGIN/GLIBC_2.1GLIBC_2.0t0ii 7ii Aii A9hp     ! "#$%& '$((),*0+4-8/<0@1D2H3L5P6T8Uog*5%%h%h%h%h%h %h(%h0%h8p%h@`%hHP%hP@%hX0%h` %hh%hp%hx%h%h%h%h%h%h%h%hp%h`%hP% h@%h0%h %h%h% h%$h%(h%,h%0h%4h %8h(%<h0%@h8p%Dh@`%HhHP%LhP@%PhX0%Th` 1^PTRh=hQVhcUStЃ[]Ë$U=$t `ҡ`u$Utt $ÐUE @Ehɸw1&؍]Í&'U(]É}ωuu1]u}]1%T$D$CL$ D$T$4$=wZt|$4$Bup$tnp\$$aep$ht&p\$$q#Ð뉐t&U  WVS?}4u UU]ȉL$T$EEE$R (D$$D$2 D$ $D$ D$$ D$L$\$$ T$D$$1111D$D$ \$t$<$H=;Sv*?O&:o=@=t&vEЉD$MD$h${tE2 DD$ <h(E$D$GUtM|B,F‰,$.\$,\$$K= XDT$D$ @D$$#D$\$ D$D$$z$>=JhE$D$UUW|B F‰ $8 \$T$$U=o:&Zv&=t&htDE$D$U|BF‰$}|D$@D$$pE؉D$MD$h$tE DD$ D$ ED$JD$h$t Ed DD$ @D$|$$h$D$8D$$z,D$$m D$$WD$$ѷAD$$+D$$ P$,D$(D$$k=<=AEJD$h\$$X DD$ ^t& DD$ ,D$_hE$D$U|BF‰$\$L$$=bh4tDE$D$U|B8F‰8$pEȉD$MD$h$ E eDD$ @L$T$$@ED$JD$h$EWD$8\$$=&t&hE$D$LUN|BF‰$/D$\$$L= 9W)Ǎu(u t14D$Qjn4$qDƉD$8$m$vD$m8D$$|W$K($qDƉD$.,$$vD$,D$$|$$qDƉD$ $$vD$ D$$|$$qDƉD$t$V$vD$VD$$|@$θ4$qDƉD$$$vD$D$$|$$qDމ\$$$vD$D$$|119D sift: err: %s (%d) %s: error: %s (%d) vhOSo Q -9ELXvhO:S:o:Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --output -o Specify output file --frames Specify frames file --descriptors Specify descriptors file --meta Specify meta file --gss Specify Gaussian scale space files --octaves -O Number of octaves --levels -S Number of levels per octave --first-octave Index of the first octave --edge-thresh Specify the edge threshold --peak-thresh Specift the peak threshold --magnif Specify the magnification factor --read-frames Specify a file from which to read frames --orientations Force the computation of the orientations %.frame%.pgm%.meta%.descr%.frame%.siftMissing mandatory argument for option '%s'.The arguments of '%s' is invalid.meta file supports only ASCII protocolThe argument of '%s' must be a non-negative integer.The argument of '%s' must be an integer.The argument of '%s' must be not smaller than 1.The argument of '%s' must be a non-negative float.sift: will compute orientationsCould not open '%s' for reading.'%s' contains a malformed PGM header.sift: image is %u by %u pixels Could not allocate enough memory.Could not open '%s' for readingsift: read %d keypoints from '%s' Could not open '%s' for writingsift: writing all ....... to . '%s' sift: writing frames .... to . '%s' sift: writing descriptors to . '%s' sift: writign meta ...... to . '%s' sift: octaves (O) = %d sift: levels (S) = %d sift: first octave (o_min) = %d sift: edge thresh = %g sift: peak thresh = %g sift: magnif = %g sift: will force orientations? %s sift: saved gss level to '%s' Could not write GSS to PGM file.sift: detected %d (unoriented) keypoints DC\t.  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(/:tԃ dlt,x + hp `t$ /:t  xddd\dteJ !+h 1mJ QQ a|mP rp ܅ | 0p  abi-note.S../sysdeps/i386/elf/start.Sinit.cinitfini.c/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.Scall_gmon_startcrtstuff.c__CTOR_LIST____DTOR_LIST____JCR_LIST__completed.4463p.4462__do_global_dtors_auxframe_dummy__CTOR_END____DTOR_END____FRAME_END____JCR_END____do_global_ctors_aux/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.Stest_gauss_elimination.cC.6.3194_DYNAMIC__fini_array_end__fini_array_start__init_array_end_GLOBAL_OFFSET_TABLE___init_array_start_fp_hw__dso_handle__libc_csu_fini_vl_state_initvl_solve_linear_system_2_start__libc_csu_init__bss_startmain__libc_start_main@@GLIBC_2.0data_start_fini_edata__i686.get_pc_thunk.bx_end_IO_stdin_used__data_start_Jv_RegisterClasses__gmon_start__vlfeat-0.9.16/bin/glnx86/test_getopt_long000077500000000000000000000206701203326130700202760ustar00rootroot00000000000000ELF`44 ("444   ((( Qtd/lib/ld-linux.so.2GNU  =BItzP yVm6]D h % libpthread.so.0_Jv_RegisterClasses__gmon_start__libvl.sogetopt_longoptarg_initoptind_finilibc.so.6printfputsabort_IO_stdin_used__libc_start_main_edata__bss_start_end$ORIGIN/GLIBC_2.0cii ܚ U5%%h%h%h%h%h 1^PTRh͆h|QVhUSStЃ[]Ë$U=t ҡuUtt $ÐUWVS}] $ 1ɺ L$T$ D$\$<$btN-:tX?t&u-$D$럃ht?=t&tDftjt&$do$Sv[$,?J$͇D$U0$$pD$*$9 e1[^_]Í1) F$D$9uUWV1SW QE)9sE)9r [^_]U]u})u:]u}]ÐUStЋCu[]ÐUS[ÓQ[]helpbuffyfluoridedaggersetdaggerunsetspike*** parsing options: startoption `b' or `buffy'option `spike' with arg `%s' illegal optionhbf:*** parsing options: endnon-option: '%s' test_getopt_long: test VLFeat implementation of this function. --help -h this message --buffy -b option with no arguments --fluoride -f option with required argument --daggerset auto option with no arguments --daggerrunset auto option with no argument --spike long option with optional argumentoption `f' or `flouride' with arg `%s' automatic longoption (daggerset=%d) illegal option or missing argument4c  DH (oooh&6FVlhqbwfGCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)`"4 D $,[!zy_IO_stdin_usedv`../sysdeps/i386/elf/start.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91[bTVintFK]hOV/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91f//build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91%% $ > $ > 4: ; I?  &I%%W2 ../sysdeps/i386/elfstart.S`3!4=%" YZ!"\[# init.cP /build/buildd/glibc-2.3.6/build-tree/i386-libc/csucrti.S=D.!/!Yg!/= !/!Yg=g//0=!!P /build/buildd/glibc-2.3.6/build-tree/i386-libc/csucrtn.S!=[=!! !init.cshort int/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csulong long intunsigned charGNU C 3.4.6 (Ubuntu 3.4.6-1ubuntu2)long long unsigned intshort unsigned int_IO_stdin_used.symtab.strtab.shstrtab.interp.note.ABI-tag.hash.dynsym.dynstr.gnu.version.gnu.version_r.rel.dyn.rel.plt.init.text.fini.rodata.eh_frame.ctors.dtors.jcr.dynamic.got.got.plt.data.bss.comment.debug_aranges.debug_pubnames.debug_info.debug_abbrev.debug_line.debug_str#(( 1HHT7 ?Gohh To c l ( up`{``DDdd     ܚ     & @ %e +v0'!@ 0(Hh   ` D dܚ ! 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L,L$M I*^$L$0fL$0f.= H,H$LHWIT#Hٜ$ HH$H$L$H$ILL$SxL$H$(H$N<IL$H$HSxLc$H$MAFE1HH$HAEHcH$HLIIHD$(HLALAHt$(LHL$LIIL0HAIIHHIHtH>ffHCHHuH[ÐH/Haib: (%5d,%5d)=%5d dE: %10.3g I: %6.4g H: %6.4g updt: %5d ڔڔڔDoGHessianLaplaceHarrisLaplaceMultiscaleHessianMultiscaleHarris333333?333333??????;f?@"@.@@;f?;f@{Gz??DJW??-DT!?jt?@ffffff??@??4lx:>w??@L>:0yE>-DT!@0.9.16no.AVLFeat version %s Static config: %s %llu CPU(s): %s Debug: %s %s: illegal option -- %s %s: illegal option -- %c =%s: option requires an argument -- %s %s: option requires an argument -- %c hikmeans: branch at depth %d: %6.1f %% completed Y@-C6??~+?-DT! @|=-DT!?!3|@q= ףp@333333 @(\@(\@ ףp= @ffffff@(\@!@333333)@(\B#@q= ףp@Gz?)\( @m0_?-DT! @GNU C %d LP64POSIX_threads, SSE2X64, little_endian%s, %s, %s SSE42 SSE41 SSE3 SSE MMX%s%s%s%s%s%s%sikm: training with %d data ikm: %d clusters ikm: Elkan algorithm: total iterations: %d ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f) I?@<~~~>H44>>HH{{=Ckmeans: Lloyd iter %d: energy = %g kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: K-means initialized in %.2f s kmeans: K-means termineted in %.2f s with energy %g kmeans: repetition %d of %d .m66666666666666667 7%7777777v7m7d777777777$@%d %udInvalid PGM dataP5 %d %d %d Error writing PGM datawbrbError opening PGM file for writingError opening PGM file `%s' for readingvl_pgm_read(): PGM with BPP > 1 not supportedCư>?9B.?|=;f?{Gz$@9@B@Ah㈵>w+2://asciibin; y $z4 zL || D} $~ T~ ~ d4 Tl  d   t< T ԇl  $ 4 D$ d< ĊT Ԋl   $ 4 D T, dD t\ t ċ Ē D|$dDD|dľ$4t,tL4tTLd$t$TD|Td t$<$\DtT4dT,dtd,Dt |     t $ < T ld"L)d+-d-$8$8L49d$::;<d<<4?lLMdO R<RTdUVVdWY t\<]db4fj $nDpl$qs,t\4T4D,4Dԩ\DD,dD|dT, d $| T $!\!!4!! 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pAwinitfini.c/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crti.Scall_gmon_startcrtstuff.c__CTOR_LIST____DTOR_LIST____JCR_LIST__completed.4801p.4800__do_global_dtors_auxframe_dummy__CTOR_END____DTOR_END____FRAME_END____JCR_END____do_global_ctors_aux/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crtn.Saib.cvl_nan_darray.ccovdet.cvl_infinity_d_vl_covdet_compare_orientations_descendingdsift.c_vl_dsift_free_buffersgeneric.cdo_nothing_printfvl_destructorvl_constructorgetopt_long.coptend.3083optbegin.3082place.3081hikmeans.cxdeletexmeanshog.cvl_hog_prepare_buffershomkermap.chost.cikmeans.ccmp_pairimopv.cvl_infinity_f_vl_new_gaussian_fitler_d_vl_new_gaussian_fitler_fimopv_sse2.ckdtree.cvl_nan_fvl_kdtree_compare_index_entriesvl_kdforest_neighbor_heap_upvl_kdtree_split_heap_upvl_kdforest_search_heap_upvl_kdforest_search_heap_downvl_kdforest_neighbor_heap_downvl_kdtree_split_heap_downvl_kdtree_build_recursivelyvl_kdtree_calc_bounds_recursivelykmeans.c_vl_kmeans_quantize_d_vl_kmeans_quantize_f_vl_kmeans_d_qsort_sort_recursive_vl_kmeans_f_qsort_sort_recursive_vl_kmeans_refine_centers_lloyd_dlbp.cmathop.cmathop_sse2.cmser.cpegasos.cpgm.cquickshift.crandom.cmag01.2387rodrigues.cscalespace.csift.c_vl_sift_smoothupdate_gradientslic.cdy.3964dx.3963stringop.csvmdataset.cvl_aib_merge_nodes_DYNAMIC_vl_dsift_new_kernel__dso_handlevl_hikm_copy_subsetexpn_tabvl_aib_update_betavl_aib_new_Pc_vl_x86cpu_info_to_string_copyvl_aib_new_Px_vl_scalespace_fill_octavevl_aib_new_nodelist_vl_covdet_check_frame_insidevl_aib_normalize_P_vl_x86cpu_info_init_GLOBAL_OFFSET_TABLE_vl_aib_calculate_informationvl_covdet_extract_patch_helpervl_svm_compute_diagnosticvl_aib_min_betapthread_key_create@@GLIBC_2.2.5pthread_self@@GLIBC_2.2.5vl_set_printf_funcpthread_cond_wait@@GLIBC_2.3.2vl_homogeneouskernelmap_deletevl_imconvcol_vdvl_scalespace_get_geometryvl_kmeans_refine_centerspowf@@GLIBC_2.2.5vl_hog_extractvl_covdet_get_gss_vl_kernel_l2_d_vl_dsift_update_buffersvl_homogeneouskernelmap_newvl_lbp_processexpf@@GLIBC_2.2.5vl_covdet_get_num_featurespthread_mutex_destroy@@GLIBC_2.2.5_vl_distance_l1_dfloor@@GLIBC_2.2.5vl_pgm_insertvl_hog_rendervl_scalespace_put_imagevl_svmdataset_set_mapvl_svmdataset_deletegetopt_longvl_array_get_num_elementsvl_gaussian_eliminationvl_imgradient_polar_dvl_svmdataset_accumulator_fvl_scalespace_get_levelvl_dsift_new_basicvl_eval_vector_comparison_on_all_pairs_f__ctype_tolower_loc@@GLIBC_2.3sqrtf@@GLIBC_2.2.5vl_hog_get_glyph_sizevl_array_newvl_array_init_vl_kernel_l1_sse2_dvl_image_distance_transform_f_vl_kernel_l2_sse2_fvlCovdetMethodsfscanf@@GLIBC_2.2.5vl_refine_local_extreum_3vl_slic_segmentvl_covdet_resetvl_ikm_deletevl_covdet_get_non_extrema_suppression_thresholdvl_array_new_matrix_envelopevl_array_init_matrix_vl_distance_js_dvl_scalespace_deletevl_pgm_writevl_covdet_append_featurevl_covdet_set_edge_thresholdvl_dsift_deletemalloc@@GLIBC_2.2.5strncmp@@GLIBC_2.2.5vl_imgradient_polar_fvl_kmeans_deletevl_hog_newvl_sift_detectvl_string_basename_vl_distance_l2_sse2_dvl_sift_newoptargvl_array_new_matrix_vl_kernel_chi2_flround@@GLIBC_2.2.5vl_string_protocol_namevl_ikm_trainvl_set_alloc_funcvl_scalespace_newvl_covdet_extract_laplacian_scalesvl_rand_uint32vl_ikm_newvl_covdet_get_octave_resolutionvl_covdet_delete_vl_stateopterrvl_covdet_extract_affine_shape_for_framepthread_setspecific@@GLIBC_2.2.5vl_hikm_deleteceil@@GLIBC_2.2.5vl_mser_deletevl_kdforest_deleteclock@@GLIBC_2.2.5_vl_kernel_chi2_sse2_dfwrite@@GLIBC_2.2.5fclose@@GLIBC_2.2.5stderr@@GLIBC_2.2.5_vl_kernel_l1_dpthread_mutex_lock@@GLIBC_2.2.5vl_pgm_read_newvl_static_configuration_to_string_copyvl_svmdataset_innerproduct_dvl_find_local_extrema_2vl_covdet_set_peak_threshold_vl_imconvcol_vd_sse2vl_pgm_write_fvl_covdet_set_non_extrema_suppression_thresholdvl_kmeans_cluster_initqsort@@GLIBC_2.2.5vl_covdet_get_peak_thresholdlog@@GLIBC_2.2.5vl_thread_specific_state_newvl_kdforest_querystrlen@@GLIBC_2.2.5vl_solve_linear_system_2vl_mser_newvl_ikm_initvl_sift_calc_keypoint_descriptorvl_hikm_pushvl_covdet_drop_features_outsideacos@@GLIBC_2.2.5vl_aib_deletefgetc@@GLIBC_2.2.5_vl_kernel_hellinger_dfread@@GLIBC_2.2.5vl_tocvl_array_init_matrix_envelopevl_rand_initfprintf@@GLIBC_2.2.5_vl_distance_js_fvl_hog_get_heightmemcpy@@GLIBC_2.2.5vl_covdet_set_octave_resolutionvl_svmdataset_innerproduct_fsnprintf@@GLIBC_2.2.5strcmp@@GLIBC_2.2.5vl_get_randvl_svd2_vl_distance_l2_sse2_fvl_imsmooth_fvl_imgradient_d_vl_kernel_chi2_sse2_fvl_rand_seed_by_arrayvl_covdet_get_edge_thresholdabort@@GLIBC_2.2.5_vl_distance_chi2_sse2_doptind_vl_kernel_l1_sse2_fvl_string_replace_wildcardvl_aib_new_vl_distance_l2_dvl_svmpegasos_train_vl_distance_chi2_fvl_pgm_read_new_fvl_sift_calc_raw_descriptorvl_rodriguesrealloc@@GLIBC_2.2.5vl_dsift_newvl_irodriguesvl_svmpegasos_train_validation_datavl_imintegral_dvl_scalespace_get_octave_geometryvl_sift_process_next_octavevl_enumeration_get_vl_kernel_l2_sse2_dvl_kdforest_new_vl_distance_l1_fvl_imintegral_ui32vl_hog_get_permutationvl_imintegral_fvl_mser_process_vl_kernel_chi2_dsqrt@@GLIBC_2.2.5vl_covdet_get_first_octavevl_covdet_extract_affine_shapevl_covdet_extract_laplacian_scales_for_frame_vl_kernel_hellinger_fpthread_equal@@GLIBC_2.2.5pthread_cond_signal@@GLIBC_2.3.2printf@@GLIBC_2.2.5vl_hog_get_dimension_vl_kernel_l2_fvl_sift_deletevl_covdet_get_transposedoptopt@@GLIBC_2.2.5_vl_distance_l1_sse2_dvl_quickshift_deletevl_kdforest_query_recursivelyvl_kmeans_seed_centers_with_rand_datavl_covdet_extract_orientationsfrexp@@GLIBC_2.2.5__bss_startpthread_key_delete@@GLIBC_2.2.5vl_covdet_extract_patch_for_framevl_get_cpu_timevl_covdet_detectvl_set_last_errorvl_array_new_envelopevl_pgm_extract_datapthread_cond_init@@GLIBC_2.3.2vl_covdet_get_cssvl_kdforest_buildacosf@@GLIBC_2.2.5__cxa_finalize@@GLIBC_2.2.5log2@@GLIBC_2.2.5vl_lbp_deletevl_string_casei_cmpstrchr@@GLIBC_2.2.5memset@@GLIBC_2.2.5vl_covdet_put_imagevl_kmeans_set_centersvl_find_local_extrema_3vsnprintf@@GLIBC_2.2.5vl_covdet_set_aa_accurate_smoothingvl_lapack_dlasv2vl_kmeans_seed_centers_plus_plusvl_covdet_newvl_scalespace_get_level_sigmavl_solve_linear_system_3_fini_vl_distance_hellinger_fvl_homogeneouskernelmap_evaluate_fvl_kmeans_quantizevl_scalespace_new_with_geometryoptresetatan2@@GLIBC_2.2.5pthread_mutex_init@@GLIBC_2.2.5log2f@@GLIBC_2.2.5vl_svmdataset_newvl_enumeration_get_by_valuevl_covdet_set_transposedexit@@GLIBC_2.2.5vl_covdet_get_aa_accurate_smoothingvl_hikm_trainvl_hog_get_use_bilinear_orientation_assignments_vl_distance_l1_sse2_fvl_quickshift_processvl_ikm_pushldexp@@GLIBC_2.2.5vl_kmeans_new_copyvl_imgradient_fsin@@GLIBC_2.2.5ungetc@@GLIBC_2.2.5vl_sift_calc_keypoint_orientationsvl_eval_vector_comparison_on_all_pairs_dvl_imconvcoltri_dvl_pgm_get_bppvl_string_find_char_revvl_pgm_extract_headcalloc@@GLIBC_2.2.5vl_lock_statevl_covdet_set_first_octave_vl_kernel_js_fvl_hog_set_use_bilinear_orientation_assignmentsvl_scalespace_clone_structure_vl_distance_chi2_sse2_fvl_sift_keypoint_initvl_hikm_newvl_pgm_get_npixels_vl_distance_chi2_d_edata_endvl_imconvcoltri_fvl_string_parse_protocolvl_hog_deletevl_configuration_to_string_copyvl_lbp_newvl_string_lengthvl_svmpegasos_deletevl_sift_process_first_octavevl_covdet_get_featuresvl_homogeneouskernelmap_evaluate_dpthread_mutex_unlock@@GLIBC_2.2.5vl_svmdataset_accumulator_dpthread_cond_destroy@@GLIBC_2.3.2vl_array_deletevl_kmeans_resetpthread_getspecific@@GLIBC_2.2.5vl_enumeration_get_caseipow@@GLIBC_2.2.5vl_image_distance_transform_dfree@@GLIBC_2.2.5vl_refine_local_extreum_2vl_covdet_get_num_non_extrema_suppressedcos@@GLIBC_2.2.5vl_get_vector_comparison_function_ffopen@@GLIBC_2.2.5vl_unlock_statevl_hikm_initsysconf@@GLIBC_2.2.5vl_string_copyvl_thread_specific_state_deletevl_quickshift_newexp@@GLIBC_2.2.5vl_rand_seedstrstr@@GLIBC_2.2.5vl_imintegral_i32_vl_kernel_js_dvl_hog_put_imagevl_mser_ell_fitvl_svmpegasos_newvl_hog_put_polar_fieldvl_dsift_process_Jv_RegisterClassesvl_imsmooth_dvl_string_copy_subvl_aib_processvl_scalespace_clonevl_covdet_get_laplacian_scales_statisticsvl_ikm_init_randvl_get_version_stringvl_kmeans_new_vl_distance_hellinger_dvl_array_init_envelopevl_ikm_push_onevl_ticvl_get_vector_comparison_function_dvl_covdet_extract_orientations_for_frame_vl_kernel_l1_ffmod@@GLIBC_2.2.5vl_hog_get_width_vl_imconvcol_vf_sse2_vl_distance_l2_fvl_array_dealloc__gmon_start__vl_ikm_init_rand_datavl_imconvcol_vfvlfeat-0.9.16/bin/glnxa64/mser000077500000000000000000000703301203326130700160170ustar00rootroot00000000000000ELF>@@pV@8@# 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"# K<eS q0NP+@NP99r1,(OP (@4fa0OP% %i(NP1 &@3@7FZh b(NPu8OP{]E 4[% M libpthread.so.0pthread_getspecific_Jv_RegisterClassespthread_setspecific__gmon_start__libvl.sogetopt_longvl_string_basenameoptargvl_string_protocol_name_vl_statevl_mser_delete_initvl_thread_specific_state_newvl_mser_newoptindvl_string_replace_wildcardvl_mser_processvl_pgm_extract_data_finivl_pgm_get_bppvl_pgm_extract_headvl_lock_statevl_pgm_get_npixelsvl_string_parse_protocolvl_string_lengthvl_unlock_statevl_string_copyvl_mser_ell_fitvl_get_version_stringlibc.so.6snprintfmemcpyputsmallocfcloseabortfprintfsscanfstderrfputcfwriteexitfopen__libc_start_mainfree_edata__bss_start_end$ORIGIN/GLIBC_2.2.5 ui ui LP/0NP@NP(OP 0OPLPLPMPMPMPMP MP (MP 0MP 8MP@MPHMPPMPXMP`MPhMPpMPxMPMPMPMPMPMPMPMP MP!MP$MP%MP&MP'MP(MP)MP*MP+NP,NP.HEH5=%=%=h%=h%=h%=h%z=h%r=h%j=h%b=hp%Z=h`%R=h P%J=h @%B=h 0%:=h %2=h %*=h%"=h%=h%=h% =h%=h%<h%<h%<h%<hp%<h`%<hP%<h@%<h0%<h %<h%<h%<h%<h %<h!%<h"%<h#H1I^HHPTI@&@H%@Hp@HH ;HtHÐ=M=UHt$HH%<H<HHu!=ffffffffUH=8HtHt KPIAÐH\$Ld$IHl$HHu1H$Hl$Ld$HHHWIE1%HH=wZtLHHHu=i;DHHtp=V;H1Wh1=*;HHt%=;Ho1)1H1HfffffffffffAWHAVI?AUATAUH>@SH!H$L$H$ H$ H$ L$ H$ H$ DŽ$ DŽ$ 6@LH|$p.@H$IGD$,HHD$ HT$E1*@+@HD=?dfffff$v=fffh{=3J=fffH=M9H$ 1'@Yt(f$ fWf.wLt$fL$f.%H$G@1HH=8DŽ$HL$ HÃtH|B$F‰$HiHH|$HھH=Hck9H$ H@HHL1:H=;9HUAHپ)@1=H=8D$pHtEL$ HÃn|B$tF‰$tHH$tH$HH@1H|=fffff:?fffHcc8H$U'@HHL12H=67H$ 1'@BtfWf.$ #H$G@1HH=6H$ 1'@tfWf.$ Hc7H$ G@HHL1A=H=y6H$ 1'@t$ kH$H@1H'fH=)6H$ 1'@5t(f$ fWf.wLt$fL$f.H$G@1H~Hu+@1Ht$ j'@1Ht$'@1Ht$p'@1H1'@H¾'@11H=X5H$ 1'@dt$ JH$pH@1HH= 5H$ 1'@t(f$ fWf.wLt$fL$f.H$XG@1H^Hc5H$F@HHL1p1D$,H=k4DŽ$HoL$ HÃ|B$ F‰$ HH*H|$ Hھ0H= }H|$pHھH H=V4A9$A)HDd$dLlu$E‰$|$,'@R$'@1H$(@1H$(@H1l.(@$'@1OIw(@1?$ S(@H1$A(@t$p'@1 Ht$p(@1H$t (@H1D$(D$\D$\9D$dMeH$IHLH=QD\$,Ei|$,~H޿(@1g(@L*HIl(@HL3Iu7H$(@HZH$HH$H@1M3H$HtHDŽ$H$HtHDŽ$H$xHtHDŽ$xu D$\H=2H$)@1D$\D$(pH$LS(@1ELp(@1H$(@1 H$LẰH@1qD$(H![]A\A]A^A_H|$p(@Htt|$,~0D$EgD$E6DD$pE H$ L|$,H$ H$ HMHHHHD$H$ HLt\H$(@1qHD$@H|$nH|$@t H|$@\LHL$pHH$ H$ Hމ$ H$ $ H޿HD$0H|$0HD$8HPf$ fWf.r,HT$0f$ f.r HL$0f$ f.r HD$0f$ f.r HT$0f$ f.r HL$0f$ f.r,HT$8f$ f.r HL$8f$ f.r HD$8f$ f.r HT$8f$ f.r HL$8t$,$ $ HD$@+DL$p1EH|$0t H|$0H|$8H|$8H$(@1H$ H$ `I@1HHt$p@I@1H+H$ I@1H II@1H$I@H$I@1dHD$@H$x)@H$x1L⾙)@D$E$vH$x)@1|(@HD$0(@1HT$0)@fHL$06)@fHD$0R)@fHT$0n)@fH$ H$ HHH1nHD$@fffffHL$HcHL$@ЈH$ 9|H|$@+Ht$@H|$8 HD$8$HT$8@dۉD$LHBXtL$L1HŅD$EH|$8HL$8HD$8HT$8D$lHjxɉL$TD$X)H$ D$lL$l9L$TDT$XE~1ZEH$)@H9\$Xu릋UH$1)@H9\$Lu)fffHt$H|$0HT$0HL$0HBX$Id҉L$Htt$H1HÅ$H|$0HL$0HD$0HT$0D$hHjxɉL$PD$`)H$ D$hL$h9L$PD$`~1ZEH$)@H9\$`u먋H$1)@H9l$Hu0H$I@1)H$H$x)@1HJbH$xI)@1*3H\$Ld$L%$Hl$H1'H$L)HH9sHAHH9rH$Hl$Ld$HfffffffUH$H-$H)SHHXHTHHuH[]?UHSHHX$HtJPfffHCHHuH[ÐHHverbosehelpdeltaseedsframesmetamax-areamin-areamax-variationmin-diversitybright-on-darkdark-on-brightInvalid option '%s'.MSERs filespec: `%s' Frames filespec: `%s' Meta filespec: `%s' 0.2Version: driver %s; libvl %s %lf%dmser: frames outputmser: active %d mser: pattern %s mser: protocol %s mser: seeds outputmser: meta outputBasename of '%s' is too longmser: processing '%s' mser: basename is '%s' rbwOutput file name too long.PGM header corrputed.PGM body corrputed.mser: parameters:mser: delta = %d mser: max_area = %g mser: min_area = %g mser: max_variation = %g mser: min_diversity = %g %d %f mser: err: %s (%d) %s: error: %s (%d) &@v&@h&@d&@&@'@ '@'@'@)'@7'@F'@vhd:Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --seeds Specify seeds file --frames Specify frames file --meta Specify meta file --delta -d Specify MSER delta paramter --epsilon -e Specify MSER epsilon parameter --no-dups Remove duplicate --dups Keep duplicates --max-area Specify maximum region (relative) area --min-area Specify minimum region (relative) area --max-variation Specify maximum absolute region stability --bright-on-dark Enable or disable bright-on-dark regions (default 1) --dark-on-bright Enable or disable dark-on-bright regions (default 1) %.meta%.mser%.frameMissing mandatory argument for option '%s'.The argument of '%s' must be a non-negative number.max-area argument must be in the [0,1] range.min-area argument must be in the [0,1] range.max-variation argument must be non-negative.min-diversity argument must be in the [0,1] range.The arguments of '%s' is invalid.meta file supports only ASCII protocolbright_on_dark must be 0 or 1.dark_on_bright must be 0 or 1.Could not open '%s' for reading.Could not open '%s' for writing.mser: writing seeds to '%s' mser: writing frames to '%s' mser: writing meta to '%s' mser: image is %llu by %llu pixels Could not allocate enough memory.Could not create an MSER filter.;,xHphx $P@JL <Dp@kBQL B(D0I8GBzRx 8VJP <x9ARL \z (@ &@@@ @@  LP` @P @x o @oo @KPV@f@v@@@@@@@@@@@&@6@F@V@f@v@@@@@@@@@@@&@6@F@V@f@v@@KPGCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2),@+L&@(@ @<&@;@!s_IO_stdin_used@@../sysdeps/x86_64/elf/start.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91a@@]OQintFX &@WV/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crti.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91f#/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crtn.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91%% $ > $ > 4: ; I?  &I%%]4 ../sysdeps/x86_64/elfstart.S @<>!>L$ uvx[# init.cQ /build/buildd/glibc-2.3.6/build-tree/amd64-libc/csucrti.S &@$ (@K @ Ku=/0K}Q /build/buildd/glibc-2.3.6/build-tree/amd64-libc/csucrtn.S &@K ;@Kinit.cshort int/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csulong intunsigned charGNU C 3.4.6 (Ubuntu 3.4.6-1ubuntu2)short unsigned intlong unsigned int_IO_stdin_used.symtab.strtab.shstrtab.interp.note.ABI-tag.hash.dynsym.dynstr.gnu.version.gnu.version_r.rela.dyn.rela.plt.init.text.fini.rodata.eh_frame_hdr.eh_frame.ctors.dtors.jcr.dynamic.got.got.plt.data.bss.comment.debug_aranges.debug_pubnames.debug_info.debug_abbrev.debug_line.debug_str@#@ 1@@@\7 @? @ Go @ `To @ @cP @P xm @ ` w(@(r@@@P}@(&@&&@&" I@I,J@JJPJJPJKPKKPKLPLLPL8NPN0NP(N(N&POP%5P5jRv R,0T9U70_ "D k@@@@@ @ @ @P @ @ (@ @@ @ &@&@I@J@JPJPKPKPLPLPNP0NP !" *1<w @JPJPKP4OP NP @ @JPKP J@KP' &@1=x P@.@6@>@KPJPJPJPLPJP<5*@>SJ^q0NPx+NP @&@9@NP+@r1(OP0 (@64S_tfa0OP @% %@V"(NP. p@k3G+@L NPW &@]p (NP8OP/A T4d&@s[NP  abi-note.S../sysdeps/x86_64/elf/start.Sinit.cinitfini.c/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crti.Scall_gmon_startcrtstuff.c__CTOR_LIST____DTOR_LIST____JCR_LIST__completed.4801p.4800__do_global_dtors_auxframe_dummy__CTOR_END____DTOR_END____FRAME_END____JCR_END____do_global_ctors_aux/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crtn.Smser.cvl_file_meta_openC.15.4409C.14.4408C.13.4407_DYNAMIC__fini_array_end__fini_array_start__init_array_end_GLOBAL_OFFSET_TABLE___init_array_start__libc_start_main@@GLIBC_2.2.5longoptsgetopt_longmalloc@@GLIBC_2.2.5vl_string_basenameoptargvl_string_protocol_name__dso_handle__libc_csu_fini_vl_statepthread_setspecific@@GLIBC_2.2.5vl_mser_deletehelp_messagefwrite@@GLIBC_2.2.5fclose@@GLIBC_2.2.5stderr@@GLIBC_2.2.5_initvl_thread_specific_state_newvl_mser_newfprintf@@GLIBC_2.2.5memcpy@@GLIBC_2.2.5snprintf@@GLIBC_2.2.5abort@@GLIBC_2.2.5optindvl_string_replace_wildcard_startsscanf@@GLIBC_2.2.5vl_mser_processprintf@@GLIBC_2.2.5__libc_csu_init__bss_startmainvl_pgm_extract_dataoptsdata_start_finifputc@@GLIBC_2.2.5exit@@GLIBC_2.2.5vl_pgm_get_bppvl_pgm_extract_headvl_lock_statevl_pgm_get_npixels_edata_endvl_string_parse_protocolvl_string_lengthputs@@GLIBC_2.2.5pthread_getspecific@@GLIBC_2.2.5free@@GLIBC_2.2.5fopen@@GLIBC_2.2.5vl_unlock_state_IO_stdin_usedvl_string_copyvl_mser_ell_fit__data_start_Jv_RegisterClassesvl_get_version_string__gmon_start__vlfeat-0.9.16/bin/glnxa64/sift000077500000000000000000001241641203326130700160230ustar00rootroot00000000000000ELF>@@Ћ@8@# @@@@@@@@@}}PP((P(P@@ Ptd||@|@44Qtd/lib64/ld-linux-x86-64.so.2GNU%96-!8.'350)417$2&*    #% ( +",/<ewsSpP+P9r1P @4Bf~aP6RPau 8>@{ PP"5 ?4O[% ^M libpthread.so.0pthread_getspecific_Jv_RegisterClassespthread_setspecific__gmon_start__libvl.sovl_pgm_insertgetopt_longvl_sift_detectvl_string_basenamevl_sift_newoptargvl_string_protocol_name_vl_statevl_thread_specific_state_newvl_sift_calc_keypoint_descriptoroptindvl_string_replace_wildcardvl_sift_process_next_octavevl_sift_deletevl_pgm_extract_data_finivl_sift_calc_keypoint_orientationsvl_pgm_get_bppvl_pgm_extract_headvl_lock_statevl_sift_keypoint_initvl_pgm_get_npixelsvl_string_parse_protocolvl_string_lengthvl_sift_process_first_octavevl_unlock_statevl_string_copyvl_get_version_stringlibc.so.6snprintfqsortfscanfmemcpyputsmallocfcloseabortfprintfreallocsscanffreadstderrfputcfwriteexitfopen__libc_start_mainfree_edata__bss_start_end$ORIGIN/GLIBC_2.2.5 ui (tui (P8P P PPPPP P(P0P8P@PHP PP XP `PhPpPxPPPPPPPPPPȂPЂP؂P!P#P$P%P&P'P(P)P* P-(P.0P/8P0@P1HP2PP3XP4`P5hP7H#=,H5*p%,p%*ph%"ph%ph%ph% ph%ph%oh%ohp%oh`%oh P%oh @%oh 0%oh %oh %oh%oh%oh%oh%oh%oh%oh%oh%zoh%rohp%joh`%bohP%Zoh@%Roh0%Joh %Boh%:oh%2oh%*oh %"oh!%oh"%oh#% oh$%oh%%nh&%nh'p%nh(`%nh)P%nh*@%nh+0%nh, H1I^HHPTI=@H`=@H@HHmHtHÐ=oUHt$HHenH\nHHuaoffffffffUH=jHtHt PIAÐfG\Ff.)bzr 1f.bffffH\$Ld$IHl$HHu1H$Hl$Ld$HHHWIE1%H!H=wZtLHXHHu=ymHHtp=fmH&1/h1x=:mHHt%='mH1)1 H1HfffffffffffAWHAVAUE1ATIo@USH?L$)H$?H$?H$?DŽ$?L$LDŽ$?DŽ$?H$ g@`_@LH$@W@jH$ O@SH$G@@1H$ ?@1HwIv0?@1gH$M?@1HOH$j?@1H7H$?@1H1X?@H¾?@11==O=D$LBH= gH$?1?@HcgH$9x@HIL1/fHcgH$9w@HIL1qH=fDŽ$HH$?$?HÃ|B$ F‰$ HH^H$H=fDŽ$)HtJH$?u$?HÃ|B$-F‰$-HQHAH=eH$?1?@RfYf.$?tffffHcifH$9>@HIL1!H=?@H1/H$?@1Hc@@1 D$?@EID1H$?@H1H$1?@HDT$LE D$DDŽ$DL$HE|$H~H$5@@1k@@LnHHD$PH$p?HHDD$HE9HHHtHHHHD$(HHPHH<H|$(HD$0HH$9y@1EH|$0t H|$0H|$(t H|$(H|$PH$1HtHDŽ$1H$(HtwHDŽ$(H$ HtYHDŽ$ H$Ht;HDŽ$H$HtHDŽ$H$HtHDŽ$u~$$9$WH$H$5L(HH$LSH=H$9L|@@1H=j`H$9پA@1D$DXHT$(H|$PH%5H$p?1H$x?tH\$(*HD$0HH9r拼$HD$hD$t\H$5H$@@#$H$1HD$hD$tL$?HHT$ #H$LH@$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$SH$LH$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$H$LH^$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$H$LjH$$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?\$t98HcD$tH$?HL$h\$tHHH$?HHPH$?HPH$?HP$H$1?@SH$H$?1 A@.8H$H$9A@1H@HD$XH|$ht H|$hH|$XH|$XL@@1[1=Z4HHt=zZH:1CeshH$9L@@1H$x?H$p?y@1H$9LHy@1L0Hct$tH|$hp@ t$HtH$t$tz@1HgH$HtHDŽ$H$5A@L|Iu/H$5A@LQIH$90z@1vHD$X1H$9@@1JH$9Lpy@1$H$HھHH=CH$H$9y@1HH$9@@1HD$XjH$5H$ A@/tH$ H1 H}H$9@@1<(y@mH$1?@$t)H$H$?1 A@tfHL$ H$9A@1HD$XH$5H$A@D4 |$H~<$)$ $i$:$?$?D$?$x?$p?mf$?fWHD$Xf.rf$?f.r H\$Xf$?f. HD$X|$H>A@A?@HT$Xz@1r(HL$X{@1q,H\$X@{@1s0fh{@f{@f{@?@H|$hH޿UA@ID1gD$L{@ID1HNHt$0H|$XDŽ$3 |$H~HL$XsA@1q<$ H|$hD$tHD$x$g $$9É\$daH|$hHcD$dH\$hH$?H|$XHHfSfKfHT$XB<9$?l$LHCL$?H$0?҅HT$8H$0?1H\$$)uD$EHD$H|$XH$=LfTD$)EAZD$$-$? $?H$1H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?CAZD$$-$? $?H$1H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?AZD$$-$?, $?H$1H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?HL$$-HH$?EQ$?H$1H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?1Z=Y8E,Ћ$-$?H$1H$?HHu$-uH$1 D$ EAZD$$$$?q $?H$(H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?AZD$$$$??$?H$(H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?AZD$$$$? $?H$(H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?1H\$$$HH$? $?H$(H$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?$?q$$uH$( eD$E1Z=f |AYlAf.v,Ћ$$?H$ H$?HHu$uH$ HHD$H;l$8ND$d$9D$dH|$X=T$d$D$DH?[]A\A]A^A_H$1?@H$H$?1 A@ffffHcD$dHL$xH$0?H|$XHL$L iH$HH|$XH$?H$0?L$?,HD$XHT$XHL$XH\$XHDŽ$`?@ sift: err: %s (%d) %s: error: %s (%d) d>@vl>@hq>@Oy>@S>@o>@>@>@>@>@>@>@>@>@>@vhO:S:o:Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --output -o Specify output file --frames Specify frames file --descriptors Specify descriptors file --meta Specify meta file --gss Specify Gaussian scale space files --octaves -O Number of octaves --levels -S Number of levels per octave --first-octave Index of the first octave --edge-thresh Specify the edge threshold --peak-thresh Specift the peak threshold --magnif Specify the magnification factor --read-frames Specify a file from which to read frames --orientations Force the computation of the orientations %.frame%.pgm%.meta%.descr%.frame%.sift?@o@Missing mandatory argument for option '%s'.The arguments of '%s' is invalid.meta file supports only ASCII protocolThe argument of '%s' must be a non-negative integer.The argument of '%s' must be an integer.The argument of '%s' must be not smaller than 1.The argument of '%s' must be a non-negative float.sift: will compute orientationsCould not open '%s' for reading.'%s' contains a malformed PGM header.sift: image is %llu by %llu pixels Could not allocate enough memory.Could not open '%s' for readingsift: read %d keypoints from '%s' Could not open '%s' for writingsift: writing all ....... to . '%s' sift: writing frames .... to . '%s' sift: writing descriptors to . '%s' sift: writign meta ...... to . '%s' sift: octaves (O) = %d sift: levels (S) = %d sift: first octave (o_min) = %d sift: edge thresh = %g sift: peak thresh = %g sift: magnif = %g sift: will force orientations? %s sift: saved gss level to '%s' Could not write GSS to PGM file.sift: detected %d (unoriented) keypoints ;4P h@@x p@*$4@JL <\@&BQB E(I0C8GzRx VJP <09ARL \t @ 8>@@@ @@ 4 P8x @ @x o @ooL @(P@@@@@.@>@N@^@n@~@@@@@@@@@@@.@>@N@^@n@~@@@@@@@@@@@.@>@N@^@n@~@@@PGCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2)GCC: (GNU) 4.0.3 (Ubuntu 4.0.3-1ubuntu5)GCC: (GNU) 3.4.6 (Ubuntu 3.4.6-1ubuntu2),@+L8>@@ @<A>@@!s_IO_stdin_used@@../sysdeps/x86_64/elf/start.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91a@@]OQintFX `>@WV/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crti.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91f#/build/buildd/glibc-2.3.6/build-tree/amd64-libc/csu/crtn.S/build/buildd/glibc-2.3.6/build-tree/glibc-2.3.6/csuGNU AS 2.16.91%% $ > $ > 4: ; I? 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DoGHessianHessianLaplaceHarrisLaplaceMultiscaleHessianMultiscaleHarris0.9.16VLFeat version %s Static config: %s %u CPU(s): %s Debug: %s no=%s: option requires an argument -- %s %s: illegal option -- %s %s: illegal option -- %c %s: option requires an argument -- %c hikmeans: branch at depth %d: %6.1f %% completed IX86, little_endianPOSIX_threads, SSE2GNU C %d ILP32%s, %s, %s SSE42 SSE41 SSE3 SSE2 SSE MMX%s%s%s%s%s%s%sikm: Elkan algorithm: total iterations: %d ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f) ikm: training with %d data ikm: %d clusters kmeans: Lloyd iter %d: energy = %g kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: repetition %d of %d kmeans: K-means initialized in %.2f s kmeans: K-means termineted in %.2f s with energy %g P5 %d %d %d Error writing PGM datawbError opening PGM file for writing %udInvalid PGM data%drbError opening PGM file `%s' for readingvl_pgm_read(): PGM with BPP > 1 not supportedasciibin:// 44Q4 lptп ,8DP\htȌԌ(4@LXdp|čЍ܍ $0<HT`lx̎؎ ,8DP\htȏԏ(4@LXdp|ĐАܐ $0<HT`lxБ`W[crR X ^ d j p v |            ĉ ʉ Љ ։ ܉             $ * 0 6 < B H N T Z ` f l r x ~            Ɗ ̊ Ҋ ؊ ފ             & , 2 8 > D J P V \ b h 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/usr/lib/dyldH_>-6,ͨ܈E$  *  8  @loader_path/libvl.dylib 8/usr/lib/libgcc_s.1.dylib 8/usr/lib/libSystem.B.dylib& jHHH}HuHUHAWAVATSHIIAD=WL%XL5YI$HH9HFLH;H[uHHHtHHHtH=HuvUH=HucH}HtHRDLLHHQa/uHHHASLAS%%UHAWAVATS00A L=:L%0HL0I<$ Au0H=1[A\A^A_]ÐUHAWAVAUATSHH1LuL}L%^E1DfDAL1LLIIHHufDfDJ|1IIu06HH=RH0XHH1HH[A\A]A^A_]Ð%%%%%%%%%%%%LXLLL}@Ly4Lu(LqLmLiLeLaL]LY__dyld_make_delayed_module_initializer_calls__dyld_mod_term_funcs%sThread %5d: %d Thread %5d: elapsed time: %.2f s $$  <<b <  "0XzRx ,AC KzRx 4 4T  __        $0" "   #$ 6 > F Rf o u0  -N[ks    __startdyld_stub_binding_helper__dyld_func_lookup_NXArgc_NXArgv___progname__mh_execute_header_environ_main_testThreadstart___keymgr_dwarf2_register_sections___stdoutp__cthread_init_routine__vl_state_atexit_errno_exit_fflush_mach_init_routine_printf_pthread_create_pthread_join_vl_configuration_to_string_copy_vl_get_rand_vl_rand_uint32_vl_tic_vl_tocvlfeat-0.9.16/bin/maci64/test_vec_comp000077500000000000000000000215301203326130700175010ustar00rootroot00000000000000H__PAGEZEROx__TEXT__text__TEXT  __stubs__TEXT 6 __stub_helper__TEXT l __cstring__TEXT00__const__TEXT__unwind_info__TEXT\__eh_frame__TEXT((__DATA__dyld__DATA__got__DATA  __la_symbol_ptr__DATA0H0 __common__DATAx H__LINKEDIT  X !p P ! 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Q?t$~?Ciq?Q?HPs?S?37?NbX9?6[ ?|a2U??V-?{P?u?&S?K=U?}?5^I?_LJ?N@a?>yX5?0@P1@H0@0"@@@@[@o@## ,##8 "& &v&b&4&&&%%%%%%N&f$|$$$$$$X$$$%%% %2%L%^%n%L$@$8$*$"$$$#####+vl_aib_delete-vl_aib_process,vl_aib_newvl.dll.printfMSVCR90.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2Pic = [%f ; ... ]; AIB starting %d => %d IB done N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/mser.exe000066400000000000000000000360001203326130700162470ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $)GGG<GLGLGLGFGLGLGRichGPEL ^mP  &0@`!T5PP5@04.textN `.rdata` 0 @@.data @ .@.rsrcP8@@,1@VW 1@=,1@P40@u$1@VQ80@(1@_^QVWtcL$QP1@D$t@~ W1@v,WhV1@ =r_^Y_^Y_3^Ỹ>u3ËD$WPjj%NQhW1@=r _Ã>t)T$ RW\0@u_3_̋tP`0@dž̊@XAX@xD$Xx@`D$X`@hD$Xh@pD$Xp̋@,̋@4̋@D̋@P̋@LU pH@3ĉ$ 5@A@ A@T$9F9N9X9f9r9|9999999999 : :0:@:N:`:r:::8888888v8`8J8<8*88877777v7d7X7b#@#%@V'@Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --seeds Specify seeds file --frames Specify frames file --meta Specify meta file --delta -d Specify MSER delta paramter --epsilon -e Specify MSER epsilon parameter --no-dups Remove duplicate --dups Keep duplicates --max-area Specify maximum region (relative) area --min-area Specify minimum region (relative) area --max-variation Specify maximum absolute region stability --bright-on-dark Enable or disable bright-on-dark regions (default 1) --dark-on-bright Enable or disable dark-on-bright regions (default 1) vhd:@@v@@h@@d@@@@@@@@@@@@@@@@@@H@I@HpH@`5@5*$@$@(@)@)@690d69@0$6R<08<"< <;;;;;;l;N;F;0;";;;::::::99"9*949>9F9N9X9f9r9|9999999999 : :0:@:N:`:r:::8888888v8`8J8<8*88877777v7d7X7#_vl_statevl_unlock_statevl_thread_specific_state_newvl_lock_statevl_string_copyvl_string_lengthvl_string_parse_protocolvl_string_replace_wildcardvl_mser_deletevl_mser_ell_fitvl_mser_processvl_mser_newvl_pgm_extract_datavl_pgm_get_npixelsvl_pgm_get_bppvl_pgm_extract_headvl_string_basenamevl_string_protocol_namelvl_get_version_string%optarg'optind$getopt_longvl.dllfopenfclosefreemalloc.printfabortexitfprintf__iob_funci_snprintfJsscanf*memsetMSVCR90.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilter__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeK_crt_debugger_hookC?terminate@@YAXXZ_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_s5TlsSetValue4TlsGetValueInterlockedExchange!SleepInterlockedCompareExchange-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterSetUnhandledExceptionFilterIsDebuggerPresentTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64%g %d %lgl1l2chi2kl1kl2kchi2verbosehelpdeltaseedsframesmetamax-areamin-areamax-variationmin-diversitybright-on-darkdark-on-bright%.frame%.frame%.mser%.mser%.meta%.metaInvalid option '%s'.Missing mandatory argument for option '%s'.MSERs filespec: `%s' Frames filespec: `%s' Meta filespec: `%s' 0.2Version: driver %s; libvl %s %lfThe argument of '%s' must be a non-negative number.%lfmax-area argument must be in the [0,1] range.%lfmin-area argument must be in the [0,1] range.%lfmax-variation argument must be non-negative.%lfmin-diversity argument must be in the [0,1] range.The arguments of '%s' is invalid.The arguments of '%s' is invalid.The arguments of '%s' is invalid.meta file supports only ASCII protocol%dbright_on_dark must be 0 or 1.%ddark_on_bright must be 0 or 1.%s: error: %s (%d) mser: frames output mser: active %d mser: pattern %s mser: protocol %s mser: seeds output mser: active %d mser: pattern %s mser: protocol %s mser: meta output mser: active %d mser: pattern %s mser: protocol %s Basename of '%s' is too longmser: processing '%s' mser: basename is '%s' rbCould not open '%s' for reading.wOutput file name too long.Could not open '%s' for writing.wOutput file name too long.Could not open '%s' for writing.wOutput file name too long.Could not open '%s' for writing.mser: writing seeds to '%s' mser: writing frames to '%s' mser: writing meta to '%s' PGM header corrputed.mser: image is %u by %u pixels Could not allocate enough memory.PGM body corrputed.Could not create an MSER filter.mser: parameters: mser: delta = %d mser: max_area = %g mser: min_area = %g mser: max_variation = %g mser: min_diversity = %g %d %f Could not allocate enough memory.%d %f mser: err: %s (%d) N@D0 HXPV PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/msvcr90.dll000066400000000000000000024010001203326130700165740ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $Oĭ a a a,a aa3)`3?^a3.a38 a3> a3; aRich aPEL=1G!  Z @-p Rx 0  @`|(  $ 3@.textX Z  `.datagp D^ @.rsrc  @@.reloc7 8 @B2H\r *:JVdn&:Rl|4HThv 4DRh~ &6LZt (4@Rlz .<N`p *>Ndt*Fdx0JZl~"2vTxyUx-XxSYx5Zx1#UxmXxTx=1G) CorExitProcessmscoree.dllruntime error TLOSS error SING error DOMAIN error R6034 An application has made an attempt to load the C runtime library incorrectly. Please contact the application's support team for more information. R6033 - Attempt to use MSIL code from this assembly during native code initialization This indicates a bug in your application. It is most likely the result of calling an MSIL-compiled (/clr) function from a native constructor or from DllMain. R6032 - not enough space for locale information R6031 - Attempt to initialize the CRT more than once. This indicates a bug in your application. R6030 - CRT not initialized R6028 - unable to initialize heap R6027 - not enough space for lowio initialization R6026 - not enough space for stdio initialization R6025 - pure virtual function call R6024 - not enough space for _onexit/atexit table R6019 - unable to open console device R6018 - unexpected heap error R6017 - unexpected multithread lock error R6016 - not enough space for thread data This application has requested the Runtime to terminate it in an unusual way. Please contact the application's support team for more information. R6009 - not enough space for environment R6008 - not enough space for arguments R6002 - floating point support not loaded Microsoft Visual C++ Runtime Library ...Runtime Error! Program: Microsoft.VC90.CRT.manifestWinSxS\\WinSxS\msvcr90.dll\MSCoree.dllPGORT90.dllFindActCtxSectionStringWkernel32.dllEncodePointerKERNEL32.DLLDecodePointerFlsFreeFlsSetValueFlsGetValueFlsAlloc...*?...*?.com.bat.cmd.exe./\?*.com.bat.cmd.exe./\?*=SystemRoot.\\PATHcmd.exe/cCOMSPEC=SystemRoot.\PATHcmd.exe/cCOMSPECccsUTF-8UTF-16LEUNICODE /c TMPccsUTF-8UTF-16LEUNICODE /c TMPSunMonTueWedThuFriSatJanFebMarAprMayJunJulAugSepOctNovDecTZ(null)(null)EEE50P( 8PX700WP `h````xpxxxxEEE00P('8PW700PP (`h`hhhxppwppHH:mm:ssdddd, MMMM dd, yyyyMM/dd/yyPMAMDecemberNovemberOctoberSeptemberAugustJulyJuneAprilMarchFebruaryJanuaryDecNovOctSepAugJulJunMayAprMarFebJanSaturdayFridayThursdayWednesdayTuesdayMondaySundaySatFriThuWedTueMonSuna/pam/pmbad allocationTx*Wx*WxUnknown exceptionDTxWx*WxTx*Wx*WxTx*Wx*Wxbad castbad typeid,TxTWxtTxWx*Wx|WxTxnWx*Wxbad exceptioncsm Access violation - no RTTI data!Bad read pointer - no RTTI data!Attempted a typeid of NULL pointer!Bad dynamic_cast! Complete Object Locator' Class Hierarchy Descriptor' Base Class Array' Base Class Descriptor at ( Type Descriptor'`local static thread guard'`managed vector copy constructor iterator'`vector vbase copy constructor iterator'`vector copy constructor iterator'`dynamic atexit destructor for '`dynamic initializer for '`eh vector vbase copy constructor iterator'`eh vector copy constructor iterator'`managed vector destructor iterator'`managed vector constructor iterator'`placement delete[] closure'`placement delete closure'`omni callsig' delete[] new[]`local vftable constructor closure'`local vftable'`RTTI`EH`udt returning'`copy constructor closure'`eh vector vbase constructor iterator'`eh vector destructor iterator'`eh vector constructor iterator'`virtual displacement map'`vector vbase constructor iterator'`vector destructor iterator'`vector constructor iterator'`scalar deleting destructor'`default constructor closure'`vector deleting destructor'`vbase destructor'`string'`local static guard'`typeof'`vcall'`vbtable'`vftable'^=|=&=<<=>>=%=/=-=+=*=||&&|^~(),>=><=<%/->*&+---++*->operator[]!===!<<>> delete new__unaligned__restrict__ptr64__clrcall__fastcall__thiscall__stdcall__pascal__cdecl__based($Rx$Rx$Rx$Rx$Rx$Rx$Rx$Rxx$Rxl$RxRxRxRxRx`RxDRxd$Rx\$RxRxX$RxT$RxP$RxL$RxH$RxD$Rx8$Rx4$Rx0$Rx,$Rx($Rx$$Rx $Rx$Rx$Rx$Rx$Rx $Rx$Rx$Rx$Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rxx#Rxl#RxX#Rx8#Rx#Rx"Rx"Rx"Rx"Rxx"RxT"Rx4"Rx "Rx!Rx!Rx!Rx!Rx!Rx!Rx!Rx!Rx|!Rx`!Rx@!Rx!Rx Rx Rx Rx Rx\ Rx8 Rx RxRxRxRxWxWxWx[WxvWxWxWxWxWxrWxWxWxWxWxWx ?? 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_,˫ 0  *RA^0(ip΀Brv0j0R axM0  *H 0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Code Signing PCA0 070823002313Z 090223003313Z0t1 0 UUS10U Washington10URedmond10U Microsoft Corporation10UMicrosoft Corporation0"0  *H 0  Iͪ:4#Ykl!"ꮿ&2],6V+ n(L?A@F فWDv\t3ta~E>հ^ { `j(ub]:![sE㕉w`w73/bɮOg 90qgF PtA/$j!kIIJ9Bm\J׎>x Gؤ#{fJt&AKa`N0Ȃ p|UMwUv00U0U!@|QTKj4.&0U% 0 +0U#0vp[NQD.Dc0DU=0;09753http://crl.microsoft.com/pki/crl/products/CSPCA.crl0H+<0:08+0,http://www.microsoft.com/pki/certs/CSPCA.crt0  *H @WoSg 4K<؁ ytwOGi~bg()UיP^ oY Ӌ> EG&`W K̺MnH(5!r_i$4 ~no R*LI2,]&<[ 5OEGYxWN򭜚A\$>4GN{ɜcS׿Ϡz+,lڿ8\ʀݐ#簡L>&x,kǏ<00 a,0  *H 0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA0 070612235451Z 120613000451Z01 0 UUS10U Washington10URedmond10U Microsoft Corporation1'0%U nCipher DSE ESN:27F4-D440-54F31'0%UMicrosoft Timestamping Service0"0  *H 0 ˤ{sԆ}Dᳵ*Sʯݡ:1xD Eft48w<#p2ΞECtSLN/[S>V&|clVr렋xeN{"ͪYx8bCOCAE1i1v!4^RFX!9Wo_lu6vIH}v }ㇼFդkêsH%JtPibfly3'q56c+Yyu00U7Uٖ [?YJ􁖠0U#0oN?4K;AC0DU=0;09753http://crl.microsoft.com/pki/crl/products/tspca.crl0H+<0:08+0,http://www.microsoft.com/pki/certs/tspca.crt0U% 0 +0U0  *H %o9->Hl< bG' h")/rt'EM^ޏ[V*=!AY2qX![hw|"T+҈,:_:|a(9mj/0xYjV58 <@΀(jY@l ?5zyj "` !`5׿Z4zfvLM@YFLȬLB'S?c|%˗600 a,0  *H 0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA0 070612235451Z 120613000451Z01 0 UUS10U Washington10URedmond10U Microsoft Corporation1'0%U nCipher DSE ESN:27F4-D440-54F31'0%UMicrosoft Timestamping Service0"0  *H 0 ˤ{sԆ}Dᳵ*Sʯݡ:1xD Eft48w<#p2ΞECtSLN/[S>V&|clVr렋xeN{"ͪYx8bCOCAE1i1v!4^RFX!9Wo_lu6vIH}v }ㇼFդkêsH%JtPibfly3'q56c+Yyu00U7Uٖ [?YJ􁖠0U#0oN?4K;AC0DU=0;09753http://crl.microsoft.com/pki/crl/products/tspca.crl0H+<0:08+0,http://www.microsoft.com/pki/certs/tspca.crt0U% 0 +0U0  *H %o9->Hl< bG' h")/rt'EM^ޏ[V*=!AY2qX![hw|"T+҈,:_:|a(9mj/0xYjV58 <@΀(jY@l ?5zyj "` !`5׿Z4zfvLM@YFLȬLB'S?c|%˗600j O%EXzg0  *H 0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0 060916010447Z 190915070000Z0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA0"0  *H 0 7nBJqH>S,2ORȃ>3I1(dPKuǨծipfx'f趷 Y")/@VvmdmJT޿ǀL7VhGv\/}%V[jc|<%M9wt]\؆7,u9 |vlnz>q_*Ob`2҃N+"\hE/Pl%ׅvs6ƕz`3[AXn,HoCj&k(0$0U% 0 +0U0[pir#Q~Mˡr0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority<<>c@0 +70UoN?4K;AC0 +7  SubCA0 U0U00  *H M1|PapEsT? -QS9V ތ;ɷQ!oi~k"Flm|"Fӄ6~p]Eݎ*|ɮ2Շc6!v;s!شTeJ(&`;exHϭ:ObX099!dcC/{FeJtn ̝(a|H!8Ŗ2@S=f7"̰wTQ:rD#1w0s00y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Code Signing PCA axM0 +0 *H  1  +70 +7 10  +70# *H  11Dž*jn]0B +7 1402msvcr90.dllhttp://microsoft.com0  *H ?3:F+[5sƠBͭ@sCfD$e3 e3*iQvοWhW˞V\(qN(Ӟ ~ZZ vRQZᝑ\p:OlZ M䝹0~ 74..ul(9uPq/Kʼ=k>OaPw2XYc+."ږ?j5-//mnSY_<Gx$5&#&ܳ0 *H  1 000y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA a,0+]0 *H  1  *H 0 *H  1 071107092113Z0# *H  1=Qt)) i0  *H +@#\ qDg_E:LK"V3keSXG4( )Uxqy)T .++rZӐXڈfSE̠J0,: "DBoA @mAdhdz)bu3ËD$WPjj%NQhW8A@=r_Ã>t)T$ RWl@@u_3_̋tPp@@dž̋t|@@$ÊD$T$$D$D$D$D$D$ T$T$D$PT$T$jT$ T$L$jQT$x@@D$ $hPP@Rt@@̋t2t |@@3ËPjL$ jQx@@s%T$RhTP@Pt@@ u3̋Stzt |@@3[ËPjL$ jQ@@D$ T$ L$ GD$T$GD$OL$WT$GOW3[Ë@@hXP@QӃu [ËWh\P@RӃ t߃K[̋@<̋@(̋@0̋@L̋@P+A4APALID̋@,̋@h̋@d@p@x݀D$XpD$XxD$ݘ́4P\@3ĉ$0$8Su_3^$034ËCLUkPl$0UD$0D$8D$<@@D$uxKD$ PL$@hQDA@ =r 9|$|$ +ȍT |Q@H$`+$H$LQ@Q@h$WWQf$\$^w\@h$aWP$d$hQ@ Q@h$+WP$t#$+$+f$+ y\@h$/WR$/$/cQ@ Q@h$h WR$3$d $h $l ){\@h$qWQ$t$xH$0uWhXD@hLD@SV@@ @@u+Bh=`ƃ<p/@$P/@D$<뜋 @@$83;D$Ls@@T$dRhS@Q@@ t 9|$dJ@@LQhS@h$3R@@ j$|3PQhU@@@@Pt@@j@@@@T$lRhT@Q@@ t 9|$l@@TRh T@h$3P끋@@$HC;$Lh\S@$|3hR@@ @Q$/@@@$;2@@TRhR@h$3P @@$X#; 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libvl %s The arguments of '%s' is invalid.The arguments of '%s' is invalid.The arguments of '%s' is invalid.The arguments of '%s' is invalid.meta file supports only ASCII protocolThe arguments of '%s' is invalid.The arguments of '%s' is invalid.%dThe argument of '%s' must be a non-negative integer.%dThe argument of '%s' must be a non-negative integer.%dThe argument of '%s' must be an integer.%lfThe argument of '%s' must be not smaller than 1.%lfThe argument of '%s' must be a non-negative float.%lfThe argument of '%s' must be a non-negative float.%s: error: %s (%d) sift: write aggregate . yesno%3s %-6s %-10s sift: write frames .... yesno%3s %-6s %-10s sift: write descriptors yesno%3s %-6s %-10s sift: write meta ...... yesno%3s %-6s %-10s sift: write GSS ....... yesno%3s %-6s %-10s sift: read frames .... yesno%3s %-6s %-10s sift: will compute orientations Basename of '%s' is too longsift: <== '%s' sift: basename is '%s' rbCould not open '%s' for reading.Cannot read from '%s'.'%s' contains a malformed PGM header.sift: image is %u by %u pixels Could not allocate enough memory.PGM body malformed.rbOutput file name too long.Could not open '%s' for reading'%s' malformed'%s' malformed'%s' malformed'%s' malformedsift: read %d keypoints from '%s' wbOutput file name too long.Could not open '%s' for writingwbOutput file name too long.Could not open '%s' for writingwbOutput file name too long.Could not open '%s' for writingwbOutput file name too long.Could not open '%s' for writingsift: writing all ....... to . '%s' sift: writing frames .... to . '%s' sift: writing descriptors to . '%s' sift: writign meta ...... to . '%s' Could not create SIFT filter.sift: filter settings: sift: octaves (O) = %d sift: levels (S) = %d sift: first octave (o_min) = %d sift: edge thresh = %g sift: peak thresh = %g sift: magnif = %g yesnosift: will source frames? %s yesnosift: will force orientations? %s sift: GSS octave %d computed Could not write GSS to PGM file.sift: detected %d (unoriented) keypoints sift: err: %s (%d) N@D0 HX`V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_gauss_elimination.exe000066400000000000000000000150001203326130700220470ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $W4 d u b: r `RichPEL ^mP   @P!P@!@ .text  `.rdata @@.data0@.rsrc@@@ @UtST$XV!@W\$hD$0 @P\$tL$d @Qݜ$T$HR\$< @\$D @D$TD$| 3D$@_D$`\$PL$xL$h\$XD40 @H$WD4\$Whp0@уGu_^3[]h@0@$0@50@0@h0@h0@h0@ @0@}jYjhx!@3ۉ]dp]4@SVW$ @;t;u3Fuh( @3F4@;u jVY;4@u,54@h @h @YYtE50@4@;uh @h @bYY4@9]uSW, @94@th4@yYt SjS4@0@ @50@50@50@ 0@90@u7P @E MPQYYËeE0@390@uP @90@u @E0@øMZf9@t3M<@@8PEuH t uՃv39xtv39j0@H @jD @YY4@ 4@@ @ 0@< @ 0@8 @3@P=0@u h@P @Y]=0@u jt @Y3qUE8csmu*xu$@= t=!t="t=@u3]h@ @3% @jh!@^5 4@5` @YEu u\ @YgjYe5 4@։E54@YYEEPEPu5D @YPKEu֣ 4@uփ4@E EjYËUuNYH]ËVh!@h!@W;stЃ;r_^ËVp!@p!@W;stЃ;r_^% @UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujh!@h@dPSVW0@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]%| @%x @h@d5D$l$l$+SVW0@1E3PeuEEEEdËMd Y__^[]QËUuuu uh@h0@]ËVhh3V t VVVVV^3ËU0@eeSWN@;t t У0@`VEP @u3u @3 @3 @3EP @E3E3;uO@ u 50@։50@^_[%L @% @%T @%X @; 0@u%d @%h @%l @U(1@ 1@1@1@51@=1@f1@f 1@f1@f1@f%1@f-1@1@E1@E1@E1@01@1@0@0@ 0@0@0@ @(1@j9Yj @h!@ @=(1@ujYh 0 @P @%p @%%d%J%4%%%$$$$$x%#######$$$,$6$H$b$t$$p#b#V#J#B#4#,#"### $""@@@@@(@0@01@H0@`!@Q@e@~@ @@"" \"$8 $"% %%d%J%4%%%$$$$$x%#######$$$,$6$H$b$t$$p#b#V#J#B#4#,#"### $""#_vl_statevl_solve_linear_system_2vl.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZMSVCR90.dll_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2[A x]_%-4d = %4g, b_%-4d = %4g N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_getopt_long.exe000066400000000000000000000160001203326130700206570ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $P1111cR1cC1cT111cD1cV1Rich1PEL ^mP   @P)!P@ @ .text   `.rdata @@.data0@.rsrc@@@SUVW= @h1@׋l$\$5 @jh0@h1@USփIbAt3t":t?uBh2@׃lh3@׃`6@Ph2@Nhl2@׃Gft0t-t @. @Rh2@h(1@׃ @Qh2@׃jh0@h1@USփWh(3@׋ @2;}DPhD3@F;|_^]3[h@3@$3@53@3@ht3@hx3@hp3@ @3@}jYjhH!@3ۉ]dp]6@SVW$ @;t;u3Fuh( @3F6@;u jWY;6@u,56@h @h @YYtE53@6@;uh @h @gYY6@9]uSW, @96@th6@~Yt SjS6@t3@ @5t3@5x3@5p3@ 3@9|3@u7P @E MPQYYËeEࣈ3@39|3@uP @93@u @E3@øMZf9@t3M<@@8PEuH t uՃv39xtv39j|3@ @jP @YY6@6@L @ 3@H @ 3@D @6@Q=d3@u h5@@ @Yb=`3@u j< @Y3vUE8csmu*xu$@= t=!t="t=@u3]h@ @3% @jhh!@b56@5l @YEu uh @YgjYe56@։E56@YYEEPEPu5P @YPOEu֣6@uփ6@E EjYËUuNYH]ËV8!@8!@W;stЃ;r_^ËV@!@@!@W;stЃ;r_^% @̋UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujh!@h@dPSVWh3@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]%T @%8 @h@d5D$l$l$+SVWh3@1E3PeuEEEEdËMd Y__^[]QËUuuu uh@hh3@]ËVhh3V t VVVVV^3ËUh3@eeSWN@;t t Уl3@`VEP @u3u @3 @3 @3EP @E3E3;uO@ u 5h3@։5l3@^_[%X @%\ @%` @%d @; h3@u%p @%t @%x @U(4@ 4@4@4@54@=4@f4@f 4@f4@f4@f%4@f-4@4@E4@E4@E4@3@4@3@3@ 3@h3@l3@ @3@j9Yj @h @ @=3@ujYh  @P0 @%| @%t%`%2%%%$$$$$$L%V#d#z#####J#### $$$0$J$\$l$>#6#(# ###"""#"""@@ @3@3@Hh3@0!@@@@K@_@"" ,""8 !% %t%`%2%%%$$$$$$L%V#d#z#####J#### $$$0$J$\$l$>#6#(# ###"""#"""'optind%optarg$getopt_longvl.dllabort.printfMSVCR90.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64helpbuffyfluoridedaggersetdaggerunsetspikeP0@hX0@b`0@fl0@6@x0@6@0@*** parsing options: start hbf:test_getopt_long: test VLFeat implementation of this function. --help -h this message --buffy -b option with no arguments --fluoride -f option with required argument --daggerset auto option with no arguments --daggerrunset auto option with no argument --spike long option with optional argument option `b' or `buffy' option `f' or `flouride' with arg `%s' option `spike' with arg `%s' automatic longoption (daggerset=%d) illegal option or missing argument illegal option *** parsing options: end non-option: '%s' N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_heap-def.exe000066400000000000000000000220001203326130700200040ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $BLC#"C#"C#"dYA#"]q@#"C##k#"]qA#"]qA#"]qV#"]qB#"RichC#"PEL^mP  0@` 1<P1@0.text `.rdatax0@@.data@@.rsrcP @@uH̍D̍DQ$$$YQ$$YQVtW|;;$\$D$z,$\$D$AuR\$D$*$\$D$Au&\$D$t|;x_^Y$\$\$z_\$D$^YQt>u3J$$$z$$uY̋Q$SD$v 3[YË[YV׋]^̋L$D$T$ +̋D$T$ L$V4W<<_4^T$ L$D$@@%0@V4W<<_4^VW|$ T t ;sbSU;<,,J<ƍLt;r_]^[Ër<+<~<R<_]^[̅t1SWu3AV<+UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllSwapping %ux with %u Pushing heap %5u: %f Popping heap %u: %f Refilling, updating fourth element, and popping again %f -> %f %u: %f Pushing heap of structures s[%u].x = %d Popping heap of structures s[%u].x = %d Pushing heap of structures with custom swap s[%u].x = %d Popping heap of structures with custom swap s[%u].x = %d Pushing heap of structures with custom container s[%u].x = %d Popping heap of structures with custom container s[%u].x = %d N@D0 HXPV PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_host.exe000066400000000000000000000150001203326130700173120ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $P1111cR1cC1cT111cD1cV1Rich1PEL^mP   @P'!P@ @ .textD  `.rdata @@.data0@.rsrc@@@ @̋ @Q,PYV @ @HVы @B,VЃ3^h,@0@$|0@50@|0@hl0@hp0@hh0@ @x0@}jYjh8!@3ۉ]dp]3@SVW$ @;t;u3Fuh( @3F3@;u jWY;3@u,53@h @h @YYtE50@3@;uh @h @kYY3@9]uSW, @93@th3@Yt SjS3@l0@ @5l0@5p0@5h0@ 0@9t0@u7P @E MPQYYËeEࣀ0@39t0@uP @90@u @E0@øMZf9@t3M<@@8PEuH t uՃv39xtv39jt0@H @jD @YY3@3@@ @ 0@< @ 0@8 @3@Q=\0@u he@P @Yf=X0@u jt @Y3zUE8csmu*xu$@= t=!t="t=@u3]h@ @3% @jhX!@f53@5` @YEu u\ @YgjYe53@։E53@YYEEPEPu5D @YPSEu֣3@uփ3@E EjYËUuNYH]ËV(!@(!@W;stЃ;r_^ËV0!@0!@W;stЃ;r_^% @̋UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujhx!@h@dPSVW`0@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]%| @%x @h@d5D$l$l$+SVW`0@1E3PeuEEEEdËMd Y__^[]QËUuuu uh@h`0@]ËVhh3V t VVVVV^3ËU`0@eeSWN@;t t Уd0@`VEP @u3u @3 @3 @3EP @E3E3;uO@ u 5`0@։5d0@^_[%L @% @%T @%X @; `0@u%d @%h @%l @U(1@ 1@1@1@51@=1@f1@f 1@f1@f1@f%1@f-|1@1@E1@E1@E1@0@1@0@0@ 0@`0@d0@ @0@j9Yj @h @ @=0@ujYh 0 @P @%p @n%R%*%%$$$$$~$v$`$>%`#p#####L#####$($:$J$6#(####"""""#""G@@5@0@0@H`0@ !@@@@{@@"" "#8 !% n%R%*%%$$$$$~$v$`$>%`#p#####L#####$($:$J$6#(####"""""#""#_vl_state9vl_configuration_to_string_copyvl.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZMSVCR90.dll_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_imopv.exe000066400000000000000000000170001203326130700174710ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $S0 d u b% r `RichPEL^mP  R @P!P@!@ .text   `.rdata| @@.data0@.rsrc@@@ @VW @= @P0 @u @VQ4 @ @_^̡ @HlVW @= @P0 @u @VQ4 @ @_^VW @= 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_invoke_watson?_controlfp_sK_crt_debugger_hook5TlsSetValue4TlsGetValueInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2test_imopv: error: %s (%d) test_imopv: width: %d, height: %d Elapsed time no SIMD: %f [s] Elapsed time with SIMD: %f [s] /tmp/src.pgm/tmp/test.pgm/tmp/test2.pgmN@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_mathop.exe000066400000000000000000000240001203326130700176250ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $)GGG<GLGLGLGFGLGLGRichGPEL^mP  `0@`6$2PP`1@0.text `.rdata00@@.datad@ @.rsrcP$@@0@QD$Y7_0@$\$D$+ȉL$D$$0@\$D$\$D$YD$0@\$D$T$ 0+ȸ_‰L$D$D$0@V3T;r+@y^V3Tf;r+@y^S2:r*y[U00@HSUVWhp@@hx@@h@@h@@3h@@l$D\$@T1@\$P1@\$0@D$0@0@Y7_\$4T$ T$ +‰D$ D$ D$4\$ D$ \$8\$4D$4\$4D$4D$8\$8|$8 H1@\$8D$,D$8{\$,D$D$\$ @1@\$D$81@ 0@D$,Q$h@@h@@D$<01@Au0@Hh@@h@@уD$00@T1@\$3P1@\$D$@1@81@D$A\$\$D${؉L$,0@D$,0@B\$$h@@hA@ЃT1@\$3P1@\$D$@1@81@D$A\$\$D${؉L$,0@D$, 0@Q\$$h$A@h0A@T$D\$(1@\$D$0@\$ D$ T$$@0+ȸ_‰L$ D$$D$ 0@\$4%\$8D$8D$4 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EjYËUuNYH]ËV1@1@W;stЃ;r_^ËV1@1@W;stЃ;r_^%0@̋UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujh2@h @dPSVWC@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]%T0@%80@h @d5D$l$l$+SVWC@1E3PeuEEEEdËMd Y__^[]QËUuuu uh!@hC@]ËVhh3V t VVVVV^3ËUC@eeSWN@;t t УC@`VEP 0@u3u0@30@30@3EP0@E3E3;uO@ u 5C@։5C@^_[%X0@%\0@%`0@%d0@; C@u%p0@%t0@%x0@U(0E@ ,E@(E@$E@5 E@=E@fHE@f UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2chksumeval/selaps [s]func%20s %10s %10s %10s vl_fast_resqrt_f%20s (max relative error: %.6f%%) error: %s: relative error is too large! %20s %10.2g %10.2g baseline%20s %10.2g %10.2g vl_fast_resqrt_d%20s (max relative error: %.6f%%) error: %s: relative error is too large! %20s %10.2g %10.2g baseline%20s %10.2g %10.2g chksumeval/selaps [s]func%20s %10s %10s %10s vl_fast_sqrt_ui32%20s %10.2f %10.2g %010x baseline%20s %10.2f %10.2g %010x error: vl_fast_sqrt_ui32 != floor(sqrt((double) x)) vl_fast_sqrt_ui16%20s %10.2f %10.2g %010hx baseline%20s %10.2f %10.2g %010hx error: vl_fast_sqrt_ui16 != floor(sqrt((double) x)) vl_fast_sqrt_ui8%20s %10.2f %10.2g %010hhx baseline%20s %10.2f %10.2g %010hhx error: vl_fast_sqrt_ui8 != floor(sqrt((double) x)) N@D0 HXPV PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_mathop_abs.exe000066400000000000000000000160001203326130700204530ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $W4 d u b? r `RichPEL^mP  R @P!P@!@ .text   `.rdata @@.data0@.rsrc@@@QP @D$D$} @ @̡ @̋ @Q P҃Ë @Q,PYD$\$D$̃SUVW @D$ @H hы @؋B hЋ|$+D$$L$Q @D$D$} @ @l$%!@\.^u @+ÃD$|TA$;\$D$_D/\$D$_F\$D$_F\$D$_|;s\$D$_;r5 @ @V$hp0@҃ 3D$P @Fr|$ @|$|P;\$D$_D/\$D$_F\$D$_F\$D$_|;s $\$D$_;r5 @ @N$h0@ыT$$ @H,Rы @B,SЃ_^]3[h@0@$0@50@0@h0@h0@h0@ @0@}jYjhx!@3ۉ]dp]4@SVW$ @;t;u3Fuh( @3F4@;u jVY;4@u,54@h @h @YYtE50@4@;uh @h @bYY4@9]uSW, @94@th4@yYt SjS4@0@ @50@50@50@f 0@90@u7P @E MPQYYËeE0@390@uP @90@u @E0@øMZf9@t3M<@@8PEuH t uՃv39xtv39j0@T @j @YY4@ 4@L @ 0@H @ 0@D @3@P=0@u h@@ @Y]=0@u j< @Y3qUE8csmu*xu$@= t=!t="t=@u3]h\@ @3% @jh!@^5 4@5l @YEu uh @YgjYe5 4@։E54@YYEEPEPu5 @YPKEu֣ 4@uփ4@E EjYËUuNYH]ËVh!@h!@W;stЃ;r_^ËVp!@p!@W;stЃ;r_^% @UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujh!@hu@dPSVW0@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]%P @%8 @hu@d5D$l$l$+SVW0@1E3PeuEEEEdËMd Y__^[]QËUuuu uhv@h0@]ËVhh3V t VVVVV^3ËU0@eeSWN@;t t У0@`VEP @u3u0 @3 @3 @3EP @E3E3;uO@ u 50@։50@^_[%X @%\ @%` @%d @; 0@u%p @%t @%x @U(1@ 1@1@1@51@=1@f1@f 1@f1@f1@f%1@f-1@1@E1@E1@E1@01@1@0@0@ 0@0@0@ @(1@j9Yj @h!@ @=(1@ujYh  @P @%| @%%%%n%B%2%%$$$$X%######z##$0$:$H$P$Z$l$$$$n#f#X#P#F#6#(####"""@q@@=A?0@01@H0@`!@u!@5@N@@@" # \"$$8 $"% %%%%n%B%2%%$$$$X%######z##$0$:$H$P$Z$l$$$$n#f#X#P#F#6#(####"""vl_rand_uint32#_vl_statevl_tocvl_ticivl_get_randvl.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZMSVCR90.dll_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2fabsf: %.3f vl_abs_f: %.3f N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_nan.exe000066400000000000000000000150001203326130700171110ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $W4 d u b; r `RichPEL^mP   @Pi!P@ @ .text  `.rdata @@.data0@.rsrc@@@ @ @ @H$hp0@ @ @\$Bh0@ @ @\$Qh0@ @ @\$Hh0@ @ @\$Bh0@ @ @\$Qh0@ҡ @Hjh1@ы @Bjh$1@Ѓ3h@1@$|1@51@|1@hl1@hp1@hh1@ @x1@}jYjhX!@3ۉ]dp]4@SVW$ @;t;u3Fuh( @3F4@;u jVY;4@u,54@h @h @YYtE51@4@;uh @h @bYY4@9]uSW, @94@th4@yYt SjS4@l1@ @5l1@5p1@5h1@ 1@9t1@u7P @E MPQYYËeEࣀ1@39t1@uP @91@u @E1@øMZf9@t3M<@@8PEuH t uՃv39xtv39jt1@D @j@ @YY4@4@< @ 1@8 @ 1@P @4@P=\1@u h@p @Y]=X1@u jt @Y3qUE8csmu*xu$@= t=!t="t=@u3]h@ @3% @jhx!@^54@5\ @YEu uX @YgjYe54@։E54@YYEEPEPu5@ @YPKEu֣4@uփ4@E EjYËUuNYH]ËVH!@H!@W;stЃ;r_^ËVP!@P!@W;stЃ;r_^% @UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujh!@h@dPSVW`1@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]%| @%x @h@d5D$l$l$+SVW`1@1E3PeuEEEEdËMd Y__^[]QËUuuu uh@h`1@]ËVhh3V t VVVVV^3ËU`1@eeSWN@;t t Уd1@`VEP @u3u @3 @3 @3EP @E3E3;uO@ u 5`1@։5d1@^_[%H @%L @% @%T @; `1@u%` @%d @%h @U(2@ 2@2@2@52@=2@f2@f 2@f2@f2@f%2@f-|2@2@E2@E2@E2@1@2@1@1@ 1@`1@d1@ @1@j9Yj @h @0 @=1@ujYh  @P @%l @h%8%$% %$$$$$x$p$Z$L%j#z#####Z####$"$4$D$F#0#"## ##"""""#"@@@1@1@H`1@@!@a@u@@@/@"" <"#8 "|% h%8%$% %$$$$$x$p$Z$L%j#z#####Z####$"$4$D$F#0#"## ##"""""#"#_vl_statevl.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZMSVCR90.dll_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2Double NaN : `%g' Double Inf : `%g' Double - Inf : `%g' Single NaN : `%g' Single Inf : `%g' Single - Inf : `%g' Double: 0.0 < VL_INFINITY_D: %d Double: 0.0 > - VL_INFINITY_D: %d N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_qsort-def.exe000066400000000000000000000160001203326130700202420ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $BLC#"C#"C#"dYA#"]q@#"C##k#"]qA#"]qA#"]qV#"]qB#"RichC#"PEL^mP  " @P!<@ @ .textt   `.rdataX @@.data0@.rsrc@@@Q$$$YQ$$YS\$UVt$WL$\$D$++ՃBLlA$\$D$AzG\$A\D$YA$\$D$AzG\$A\D$Y$\$D$AzG\$\D$A$\$D$AzG\$A\D$YCL$;s2$\$D$AzG\$\D$E;r\$D$;vWRQV ;s G|$_^][HPjQf U8 @V\$$W @= @\$,3 @\$0 @\$4 @\$8 @\$$($6%T#b#t###D######$$4# # #"""""""""#"@A@n@33@Y@?0BDA>h0@0@H00@0!@E@@@@@""8 !J% %%$$$$$$d$F$>$($6%T#b#t###D######$$4# # #"""""""""#".printfMSVCR90.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr _adjust_fdiv__p__commode__p__fmodej_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexitv_lock_onexit`_decode_pointers_except_handler4_common _invoke_watson?_controlfp_sK_crt_debugger_hookInterlockedExchange!SleepInterlockedCompareExchangeSetUnhandledExceptionFilterTQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTime-TerminateProcessGetCurrentProcess>UnhandledExceptionFilterIsDebuggerPresentKERNEL32.dll%5.2f %5.2f N@D0 HX@V PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_rand.exe000066400000000000000000000150001203326130700172610ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $W4 d u b8 r `RichPEL^mP   @P!P@ @ .text4   `.rdata @@.data0@.rsrc@@@QP @D$D$} @ @U SVD$4WPD$(#D$,4D$0ED$4V @jL$,QT$DR @= @h0@׋ @3D$8PPh$0@׸ +у u h,0@׃F|h00@׃3ID$8PӉD$8D$8} @ @Q$hT0@׸ +у u h\0@׃F|_^3[]h$@0@$0@50@0@h|0@h0@hx0@ @0@}jYjhX!@3ۉ]dp]3@SVW$ @;t;u3Fuh( @3F3@;u jVY;3@u,53@h @h @YYtE50@3@;uh @h @bYY3@9]uSW, @93@th3@yYt SjS3@|0@ @5|0@50@5x0@ 0@90@u7P @E MPQYYËeE࣐0@390@uP @90@u @E0@øMZf9@t3M<@@8PEuH t uՃv39xtv39j0@P @jL @YY3@3@H @ 0@D @ 0@@ @3@P=l0@u hU@< @Y]=h0@u j8 @Y3qUE8csmu*xu$@= t=!t="t=@u3]h@ @3% @jhx!@^53@5l @YEu uh @YgjYe53@։E53@YYEEPEPu5L @YPKEu֣3@uփ3@E EjYËUuNYH]ËVH!@H!@W;stЃ;r_^ËVP!@P!@W;stЃ;r_^% @UMMZf9t3]ËA<8PEu3ҹ f9H‹]̋UEH<ASVq3WDv} H ;r X;r B(;r3_^[]̋Ujh!@h@dPSVWp0@1E3PEdeEh@*tUE-@Ph@Pt;@$ЃEMd Y_^[]ËE3=‹ËeE3Md Y_^[]% @%T @h@d5D$l$l$+SVWp0@1E3PeuEEEEdËMd Y__^[]QËUuuu uh@hp0@]ËVhh3V t VVVVV^3ËUp0@eeSWN@;t t Уt0@`VEP @u3u @3 @3 @3EP @E3E3;uO@ u 5p0@։5t0@^_[%X @%\ @%` @%d @; p0@u%p @%t @%x @U(1@ 1@1@1@51@=1@f1@f 1@f1@f1@f%1@f-1@1@E1@E1@E1@1@1@0@0@ 0@p0@t0@ @0@j9Yj @h @ @=0@ujYh  @P0 @%| @%%|%N%8%"%%$$$$$h%#######r##$$($0$:$L$f$x$$f#Z#R#D#<#2#"##""""@@@.@=A0@1@Hp0@@!@@@@k@@"" <"#8 "% %%|%N%8%"%%$$$$$h%#######r##$$($0$:$L$f$x$$f#Z#R#D#<#2#"##""""vl_rand_uint32vl_rand_seed_by_arrayvl_rand_initvl.dll.printfMSVCR90.dll_amsg_exit__getmainargs,_cexit|_exitf_XcptFilterexit__initenv_initterm_initterm_e<_configthreadlocale__setusermatherr 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PAPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win32/test_stringop.exe000066400000000000000000000230001203326130700202010ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $Pw1$1$1$$1$cR$1$cC$1$cT$1$1$1$cD$1$cV$1$Rich1$PEL^mP  < @P!P@ @ .text~ `.rdata  @@.data0@.rsrc@"@@|$uSV5 @WPQh0@֋= @@P׋D$ T$RPփ@P @ h0@փ@P׃j @_^́ L5@3ĉ$VW= @h0@D$jP׋h0@Q$0@X0@H@u+3;h0@%0@R(h0@D$jP׋Ah0@Q*1@0@H@u+3;h1@+,1@R= @hl0@j\j*ht0@D$(hP׋h@1@Q3\1@(0@D$:utP:Quu33҅hp1@41@R=0@H@u+3;h1@5Q1@ hl0@j\j*ht0@T$$jR׋@h1@P<1@0@(H@u+3;h2@=Q2@hl0@j\j*ht0@jj׋Bh02@RCL2@v0@(H@u+3;h`2@DQ|2@F5 @jh2@T$ hR=3@h2@IQ2@ 2@D$:utP:Quu33҅h2@J2@Rjh2@D$ hP=3@h 3@NQ 3@ \3@D$:utP:Quu33҅h43@OH3@R8jhd3@D$ hP=3@ht3@SQ3@ 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(%5d,%5d)=%5d dE: %10.3g I: %6.4g H: %6.4g updt: %5d floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2DoGHessianHessianLaplaceHarrisLaplaceMultiscaleHessianMultiscaleHarrislpxfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int640.9.16yesnoVLFeat version %s Static config: %s %u CPU(s): %s Debug: %s floatdoubleint8int16int32int64int8int16int32int64@=%s: option requires an argument -- %s %s: illegal option -- %s %s: illegal option -- %c %s: option requires an argument -- %c floatdoubleint8int16int32int64int8int16int32int64hikmeans: branch at depth %d: %6.1f %% completed floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64 SSE42 SSE41 SSE3 SSE2 SSE MMX%s%s%s%s%s%s%sIX86, little_endianWindows_threads, SSE2Microsoft Visual C++ %d ILP32%s, %s, %sfloatdoubleint8int16int32int64int8int16int32int64ikm: training with %d data ikm: %d clusters ikm: Elkan algorithm: total iterations: %d ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f) floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2kmeans: Lloyd iter %d: energy = %g kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: Lloyd iter %d: energy = %g kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: repetition %d of %d kmeans: K-means initialized in %.2f s kmeans: K-means termineted in %.2f s with energy %g floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2%d%d%d %udInvalid PGM dataP5 %d %d %d Error writing PGM datarbError opening PGM file `%s' for readingvl_pgm_read(): PGM with BPP > 1 not supportedwbError opening PGM file for 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L^mP-_vl_aib_processvl.dll vl.dll/ 1349344773 0 45 ` L^mP._vl_array_deallocvl.dll vl.dll/ 1349344773 0 44 ` L^mP/_vl_array_deletevl.dllvl.dll/ 1349344773 0 54 ` L^mP"0_vl_array_get_num_elementsvl.dllvl.dll/ 1349344773 0 42 ` L^mP1_vl_array_initvl.dllvl.dll/ 1349344773 0 51 ` L^mP2_vl_array_init_envelopevl.dll vl.dll/ 1349344773 0 49 ` L^mP3_vl_array_init_matrixvl.dll vl.dll/ 1349344773 0 58 ` L^mP&4_vl_array_init_matrix_envelopevl.dllvl.dll/ 1349344773 0 41 ` L^mP5_vl_array_newvl.dll vl.dll/ 1349344773 0 50 ` L^mP6_vl_array_new_envelopevl.dllvl.dll/ 1349344773 0 48 ` L^mP7_vl_array_new_matrixvl.dllvl.dll/ 1349344773 0 57 ` L^mP%8_vl_array_new_matrix_envelopevl.dll vl.dll/ 1349344773 0 60 ` L^mP(9_vl_configuration_to_string_copyvl.dllvl.dll/ 1349344773 0 53 ` L^mP!:_vl_covdet_append_featurevl.dll vl.dll/ 1349344773 0 45 ` L^mP;_vl_covdet_deletevl.dll vl.dll/ 1349344773 0 45 ` L^mP<_vl_covdet_detectvl.dll vl.dll/ 1349344773 0 60 ` L^mP(=_vl_covdet_drop_features_outsidevl.dllvl.dll/ 1349344773 0 59 ` L^mP'>_vl_covdet_extract_affine_shapevl.dll vl.dll/ 1349344773 0 69 ` L^mP1?_vl_covdet_extract_affine_shape_for_framevl.dll vl.dll/ 1349344773 0 63 ` L^mP+@_vl_covdet_extract_laplacian_scalesvl.dll vl.dll/ 1349344773 0 73 ` L^mP5A_vl_covdet_extract_laplacian_scales_for_framevl.dll vl.dll/ 1349344773 0 59 ` L^mP'B_vl_covdet_extract_orientationsvl.dll vl.dll/ 1349344773 0 69 ` L^mP1C_vl_covdet_extract_orientations_for_framevl.dll vl.dll/ 1349344773 0 62 ` L^mP*D_vl_covdet_extract_patch_for_framevl.dllvl.dll/ 1349344773 0 64 ` L^mP,E_vl_covdet_get_aa_accurate_smoothingvl.dllvl.dll/ 1349344773 0 46 ` L^mPF_vl_covdet_get_cssvl.dllvl.dll/ 1349344773 0 57 ` L^mP%G_vl_covdet_get_edge_thresholdvl.dll vl.dll/ 1349344773 0 51 ` L^mPH_vl_covdet_get_featuresvl.dll vl.dll/ 1349344773 0 55 ` L^mP#I_vl_covdet_get_first_octavevl.dll vl.dll/ 1349344773 0 46 ` L^mPJ_vl_covdet_get_gssvl.dllvl.dll/ 1349344773 0 70 ` L^mP2K_vl_covdet_get_laplacian_scales_statisticsvl.dllvl.dll/ 1349344773 0 76 ` L^mP8L_vl_covdet_get_non_extrema_suppression_thresholdvl.dllvl.dll/ 1349344773 0 55 ` L^mP#M_vl_covdet_get_num_featuresvl.dll vl.dll/ 1349344773 0 69 ` L^mP1N_vl_covdet_get_num_non_extrema_suppressedvl.dll vl.dll/ 1349344773 0 60 ` L^mP(O_vl_covdet_get_octave_resolutionvl.dllvl.dll/ 1349344773 0 57 ` L^mP%P_vl_covdet_get_peak_thresholdvl.dll vl.dll/ 1349344773 0 53 ` L^mP!Q_vl_covdet_get_transposedvl.dll vl.dll/ 1349344773 0 42 ` L^mPR_vl_covdet_newvl.dllvl.dll/ 1349344773 0 48 ` L^mPS_vl_covdet_put_imagevl.dllvl.dll/ 1349344773 0 44 ` L^mPT_vl_covdet_resetvl.dllvl.dll/ 1349344773 0 64 ` L^mP,U_vl_covdet_set_aa_accurate_smoothingvl.dllvl.dll/ 1349344773 0 57 ` L^mP%V_vl_covdet_set_edge_thresholdvl.dll vl.dll/ 1349344773 0 55 ` L^mP#W_vl_covdet_set_first_octavevl.dll vl.dll/ 1349344773 0 76 ` L^mP8X_vl_covdet_set_non_extrema_suppression_thresholdvl.dllvl.dll/ 1349344773 0 60 ` L^mP(Y_vl_covdet_set_octave_resolutionvl.dllvl.dll/ 1349344773 0 57 ` L^mP%Z_vl_covdet_set_peak_thresholdvl.dll vl.dll/ 1349344773 0 53 ` L^mP![_vl_covdet_set_transposedvl.dll vl.dll/ 1349344773 0 44 ` L^mP\_vl_dsift_deletevl.dllvl.dll/ 1349344773 0 41 ` L^mP]_vl_dsift_newvl.dll vl.dll/ 1349344773 0 47 ` L^mP^_vl_dsift_new_basicvl.dll vl.dll/ 1349344773 0 45 ` L^mP__vl_dsift_processvl.dll vl.dll/ 1349344773 0 47 ` L^mP`_vl_enumeration_getvl.dll vl.dll/ 1349344773 0 56 ` L^mP$a_vl_enumeration_get_by_valuevl.dllvl.dll/ 1349344773 0 53 ` L^mP!b_vl_enumeration_get_caseivl.dll vl.dll/ 1349344773 0 69 ` L^mP1c_vl_eval_vector_comparison_on_all_pairs_dvl.dll vl.dll/ 1349344773 0 69 ` L^mP1d_vl_eval_vector_comparison_on_all_pairs_fvl.dll vl.dll/ 1349344773 0 52 ` L^mP e_vl_find_local_extrema_2vl.dllvl.dll/ 1349344773 0 52 ` L^mP f_vl_find_local_extrema_3vl.dllvl.dll/ 1349344773 0 52 ` L^mP g_vl_gaussian_eliminationvl.dllvl.dll/ 1349344773 0 44 ` L^mPh_vl_get_cpu_timevl.dllvl.dll/ 1349344773 0 40 ` L^mPi_vl_get_randvl.dllvl.dll/ 1349344773 0 64 ` L^mP,j_vl_get_vector_comparison_function_dvl.dllvl.dll/ 1349344773 0 64 ` L^mP,k_vl_get_vector_comparison_function_fvl.dllvl.dll/ 1349344773 0 50 ` L^mPl_vl_get_version_stringvl.dllvl.dll/ 1349344773 0 43 ` L^mPm_vl_hikm_deletevl.dll vl.dll/ 1349344773 0 41 ` L^mPn_vl_hikm_initvl.dll vl.dll/ 1349344773 0 40 ` L^mPo_vl_hikm_newvl.dllvl.dll/ 1349344773 0 41 ` L^mPp_vl_hikm_pushvl.dll vl.dll/ 1349344773 0 42 ` L^mPq_vl_hikm_trainvl.dllvl.dll/ 1349344773 0 42 ` L^mPr_vl_hog_deletevl.dllvl.dll/ 1349344773 0 43 ` L^mPs_vl_hog_extractvl.dll vl.dll/ 1349344773 0 49 ` L^mPt_vl_hog_get_dimensionvl.dll vl.dll/ 1349344773 0 50 ` L^mPu_vl_hog_get_glyph_sizevl.dllvl.dll/ 1349344773 0 46 ` L^mPv_vl_hog_get_heightvl.dllvl.dll/ 1349344773 0 51 ` L^mPw_vl_hog_get_permutationvl.dll vl.dll/ 1349344773 0 76 ` L^mP8x_vl_hog_get_use_bilinear_orientation_assignmentsvl.dllvl.dll/ 1349344773 0 45 ` L^mPy_vl_hog_get_widthvl.dll vl.dll/ 1349344773 0 39 ` L^mPz_vl_hog_newvl.dll vl.dll/ 1349344773 0 45 ` L^mP{_vl_hog_put_imagevl.dll vl.dll/ 1349344773 0 51 ` L^mP|_vl_hog_put_polar_fieldvl.dll vl.dll/ 1349344773 0 42 ` L^mP}_vl_hog_rendervl.dllvl.dll/ 1349344773 0 76 ` L^mP8~_vl_hog_set_use_bilinear_orientation_assignmentsvl.dllvl.dll/ 1349344773 0 59 ` L^mP'_vl_homogeneouskernelmap_deletevl.dll vl.dll/ 1349344773 0 63 ` L^mP+_vl_homogeneouskernelmap_evaluate_dvl.dll vl.dll/ 1349344773 0 63 ` L^mP+_vl_homogeneouskernelmap_evaluate_fvl.dll vl.dll/ 1349344773 0 56 ` L^mP$_vl_homogeneouskernelmap_newvl.dllvl.dll/ 1349344773 0 42 ` L^mP_vl_ikm_deletevl.dllvl.dll/ 1349344773 0 40 ` L^mP_vl_ikm_initvl.dllvl.dll/ 1349344773 0 45 ` L^mP_vl_ikm_init_randvl.dll vl.dll/ 1349344773 0 50 ` L^mP_vl_ikm_init_rand_datavl.dllvl.dll/ 1349344773 0 39 ` L^mP_vl_ikm_newvl.dll vl.dll/ 1349344773 0 40 ` L^mP_vl_ikm_pushvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_ikm_push_onevl.dllvl.dll/ 1349344773 0 41 ` L^mP_vl_ikm_trainvl.dll vl.dll/ 1349344773 0 58 ` L^mP&_vl_image_distance_transform_dvl.dllvl.dll/ 1349344773 0 58 ` L^mP&_vl_image_distance_transform_fvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_imconvcol_vdvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_imconvcol_vfvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_imconvcoltri_dvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_imconvcoltri_fvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_imgradient_dvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_imgradient_fvl.dllvl.dll/ 1349344773 0 50 ` L^mP_vl_imgradient_polar_dvl.dllvl.dll/ 1349344773 0 50 ` L^mP_vl_imgradient_polar_fvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_imintegral_dvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_imintegral_fvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_imintegral_i32vl.dllvl.dll/ 1349344773 0 47 ` L^mP_vl_imintegral_ui32vl.dll vl.dll/ 1349344773 0 42 ` L^mP_vl_imsmooth_dvl.dllvl.dll/ 1349344773 0 42 ` L^mP_vl_imsmooth_fvl.dllvl.dll/ 1349344773 0 42 ` L^mP_vl_irodriguesvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_kdforest_buildvl.dllvl.dll/ 1349344773 0 47 ` L^mP_vl_kdforest_deletevl.dll vl.dll/ 1349344773 0 44 ` L^mP_vl_kdforest_newvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_kdforest_queryvl.dllvl.dll/ 1349344773 0 58 ` L^mP&_vl_kdforest_query_recursivelyvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_kmeans_clustervl.dllvl.dll/ 1349344773 0 45 ` L^mP_vl_kmeans_deletevl.dll vl.dll/ 1349344773 0 42 ` L^mP_vl_kmeans_newvl.dllvl.dll/ 1349344773 0 47 ` L^mP_vl_kmeans_new_copyvl.dll vl.dll/ 1349344773 0 47 ` L^mP_vl_kmeans_quantizevl.dll vl.dll/ 1349344773 0 53 ` L^mP!_vl_kmeans_refine_centersvl.dll vl.dll/ 1349344773 0 44 ` L^mP_vl_kmeans_resetvl.dllvl.dll/ 1349344773 0 61 ` L^mP)_vl_kmeans_seed_centers_plus_plusvl.dll vl.dll/ 1349344773 0 66 ` L^mP._vl_kmeans_seed_centers_with_rand_datavl.dllvl.dll/ 1349344773 0 50 ` L^mP_vl_kmeans_set_centersvl.dllvl.dll/ 1349344773 0 45 ` L^mP_vl_lapack_dlasv2vl.dll vl.dll/ 1349344773 0 42 ` L^mP_vl_lbp_deletevl.dllvl.dll/ 1349344773 0 39 ` L^mP_vl_lbp_newvl.dll vl.dll/ 1349344773 0 43 ` L^mP_vl_lbp_processvl.dll vl.dll/ 1349344773 0 42 ` L^mP_vl_lock_statevl.dllvl.dll/ 1349344773 0 43 ` L^mP_vl_mser_deletevl.dll vl.dll/ 1349344773 0 44 ` L^mP_vl_mser_ell_fitvl.dllvl.dll/ 1349344773 0 40 ` L^mP_vl_mser_newvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_mser_processvl.dllvl.dll/ 1349344773 0 48 ` L^mP_vl_pgm_extract_datavl.dllvl.dll/ 1349344773 0 48 ` L^mP_vl_pgm_extract_headvl.dllvl.dll/ 1349344773 0 43 ` L^mP_vl_pgm_get_bppvl.dll vl.dll/ 1349344773 0 47 ` L^mP_vl_pgm_get_npixelsvl.dll vl.dll/ 1349344773 0 42 ` L^mP_vl_pgm_insertvl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_pgm_read_newvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_pgm_read_new_fvl.dllvl.dll/ 1349344773 0 41 ` L^mP_vl_pgm_writevl.dll vl.dll/ 1349344773 0 43 ` L^mP_vl_pgm_write_fvl.dll vl.dll/ 1349344773 0 49 ` L^mP_vl_quickshift_deletevl.dll vl.dll/ 1349344773 0 46 ` L^mP_vl_quickshift_newvl.dllvl.dll/ 1349344773 0 50 ` L^mP_vl_quickshift_processvl.dllvl.dll/ 1349344773 0 41 ` L^mP_vl_rand_initvl.dll vl.dll/ 1349344773 0 41 ` L^mP_vl_rand_seedvl.dll vl.dll/ 1349344773 0 50 ` L^mP_vl_rand_seed_by_arrayvl.dllvl.dll/ 1349344773 0 43 ` L^mP_vl_rand_uint32vl.dll vl.dll/ 1349344773 0 54 ` L^mP"_vl_refine_local_extreum_2vl.dllvl.dll/ 1349344773 0 54 ` L^mP"_vl_refine_local_extreum_3vl.dllvl.dll/ 1349344773 0 41 ` L^mP_vl_rodriguesvl.dll vl.dll/ 1349344773 0 48 ` L^mP_vl_scalespace_clonevl.dllvl.dll/ 1349344773 0 58 ` L^mP&_vl_scalespace_clone_structurevl.dllvl.dll/ 1349344773 0 49 ` L^mP_vl_scalespace_deletevl.dll vl.dll/ 1349344773 0 55 ` L^mP#_vl_scalespace_get_geometryvl.dll vl.dll/ 1349344773 0 52 ` L^mP _vl_scalespace_get_levelvl.dllvl.dll/ 1349344773 0 58 ` L^mP&_vl_scalespace_get_level_sigmavl.dllvl.dll/ 1349344773 0 62 ` L^mP*_vl_scalespace_get_octave_geometryvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_scalespace_newvl.dllvl.dll/ 1349344773 0 60 ` L^mP(_vl_scalespace_new_with_geometryvl.dllvl.dll/ 1349344773 0 52 ` L^mP _vl_scalespace_put_imagevl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_set_alloc_funcvl.dllvl.dll/ 1349344773 0 46 ` L^mP_vl_set_last_errorvl.dllvl.dll/ 1349344773 0 47 ` L^mP_vl_set_printf_funcvl.dll vl.dll/ 1349344773 0 61 ` L^mP)_vl_sift_calc_keypoint_descriptorvl.dll vl.dll/ 1349344773 0 63 ` L^mP+_vl_sift_calc_keypoint_orientationsvl.dll vl.dll/ 1349344773 0 56 ` L^mP$_vl_sift_calc_raw_descriptorvl.dllvl.dll/ 1349344773 0 43 ` L^mP_vl_sift_deletevl.dll vl.dll/ 1349344773 0 43 ` L^mP_vl_sift_detectvl.dll vl.dll/ 1349344773 0 50 ` L^mP_vl_sift_keypoint_initvl.dllvl.dll/ 1349344773 0 40 ` L^mP_vl_sift_newvl.dllvl.dll/ 1349344773 0 57 ` L^mP%_vl_sift_process_first_octavevl.dll vl.dll/ 1349344773 0 56 ` L^mP$_vl_sift_process_next_octavevl.dllvl.dll/ 1349344773 0 44 ` L^mP_vl_slic_segmentvl.dllvl.dll/ 1349344773 0 53 ` L^mP!_vl_solve_linear_system_2vl.dll vl.dll/ 1349344773 0 53 ` L^mP!_vl_solve_linear_system_3vl.dll vl.dll/ 1349344773 0 67 ` L^mP/_vl_static_configuration_to_string_copyvl.dll vl.dll/ 1349344773 0 47 ` L^mP_vl_string_basenamevl.dll vl.dll/ 1349344773 0 48 ` L^mP_vl_string_casei_cmpvl.dllvl.dll/ 1349344773 0 43 ` L^mP_vl_string_copyvl.dll vl.dll/ 1349344773 0 47 ` L^mP_vl_string_copy_subvl.dll vl.dll/ 1349344773 0 52 ` L^mP _vl_string_find_char_revvl.dllvl.dll/ 1349344773 0 45 ` L^mP_vl_string_lengthvl.dll vl.dll/ 1349344773 0 53 ` L^mP!_vl_string_parse_protocolvl.dll vl.dll/ 1349344773 0 52 ` L^mP _vl_string_protocol_namevl.dllvl.dll/ 1349344773 0 55 ` L^mP#_vl_string_replace_wildcardvl.dll vl.dll/ 1349344773 0 36 ` L^mP_vl_svd2vl.dllvl.dll/ 1349344773 0 56 ` L^mP$_vl_svmdataset_accumulator_dvl.dllvl.dll/ 1349344773 0 56 ` L^mP$_vl_svmdataset_accumulator_fvl.dllvl.dll/ 1349344773 0 49 ` L^mP_vl_svmdataset_deletevl.dll vl.dll/ 1349344773 0 57 ` L^mP%_vl_svmdataset_innerproduct_dvl.dll vl.dll/ 1349344773 0 57 ` L^mP%_vl_svmdataset_innerproduct_fvl.dll vl.dll/ 1349344773 0 46 ` L^mP_vl_svmdataset_newvl.dllvl.dll/ 1349344773 0 50 ` L^mP_vl_svmdataset_set_mapvl.dllvl.dll/ 1349344773 0 49 ` L^mP_vl_svmpegasos_deletevl.dll vl.dll/ 1349344773 0 46 ` L^mP_vl_svmpegasos_newvl.dllvl.dll/ 1349344773 0 48 ` L^mP_vl_svmpegasos_trainvl.dllvl.dll/ 1349344773 0 64 ` L^mP,_vl_svmpegasos_train_validation_datavl.dllvl.dll/ 1349344773 0 60 ` L^mP(_vl_thread_specific_state_deletevl.dllvl.dll/ 1349344773 0 57 ` L^mP%_vl_thread_specific_state_newvl.dll vl.dll/ 1349344773 0 35 ` L^mP_vl_ticvl.dll vl.dll/ 1349344773 0 35 ` L^mP_vl_tocvl.dll vl.dll/ 1349344773 0 44 ` L^mP_vl_unlock_statevl.dllvlfeat-0.9.16/bin/win64/000077500000000000000000000000001203326130700146045ustar00rootroot00000000000000vlfeat-0.9.16/bin/win64/Microsoft.VC90.CRT.manifest000066400000000000000000000010161203326130700214060ustar00rootroot00000000000000 vlfeat-0.9.16/bin/win64/aib.exe000066400000000000000000000170001203326130700160400ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $}}}񓻇}/x}/o}}}/}/m}Rich}PEd^mP#  l@`S(#PP@ .text1   `.rdata @@.data80@.pdata@@@.rsrcP@@HAPHHXHpWH- H 6 D$ L$( D$0L$8 D$@L$H D$P|L$X fD$`PL$h :D$p$L$x hp xH @H @rH ]@HH 3@H @H @H @H3ސfffH L fH~HuH srH iH `W DGHL$ HHH_PDH >HrHH +eL$3I[IsI_H8H =DQD FH3LHH DHD$  y H8Ht$WH eH%0Hx33H=tH;u  ؿ;u ~7u'=H H ut=es;uH H q >Ru 3HMH=]tH TtE3AP3<H e HHLH =u# =u  -=u  ̃=u  Ht$0H _H(MZf9lt3OHc HXHȁ9PEuA= t= u3v93ytv 9 H H HHH` w=u H  =iu  3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H K 3H(% @SH HH 4 HD$8Hu H ~H  HD$8H  HD$@HP HLD$@HT$8jHHL$80 HHL$@ H3HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H=| HHtHH;rH\$0H _%^ % HMZf9t3HcHyX5?d%4$" pb  d 2pLLB2P20  4 2p B  4 2px$$!#$@ x#& &&n&D&&&&^&%*%2%<%D%P%\%j%%%%%%%%%%& &$$$%$$$+vl_aib_delete-vl_aib_process,vl_aib_newvl.dllprintfMSVCR90.dll_amsg_exit__getmainargsY__C_specific_handlerU_XcptFilterF_exit_cexitexit__initenv_initterm_initterm_e _configthreadlocale__setusermatherr_commodeb_fmode7_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexit=_lock_onexit-_decode_pointer%SleepSetUnhandledExceptionFilterNQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2Pic = [%f ; ... ]; AIB starting %d => %d IB done u2-+] f"""i"l~""""""""#""1"0 HXPX PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/mser.exe000066400000000000000000000430001203326130700162520ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $Ǹǩǩǩǩ먕<ǩ먕-ǩ먕:ǩǨǩ먕*ǩ먕8ǩRichǩPEd^mP#  ")@W8Pp`P0X.text  `.rdata20$@@.dataP 6@.pdataP`@@@.rsrcpB@@HA"H\$WH "H=!"A HHu !H؋H- !HH\$0H _H\$WH HHHtqHT$0H!HD$0tG~ Hc!Ht:HKLǺT!H=r H\$8H _øH\$8H _3H\$8H _H\$WH09IHu 3H\$HH0_HT$(LAA%HHt$@D$  H=rHt$@H\$HH0_Ã;t:HH#HHujHt$@H\$HH0_Ht$@H\$H3H0_@SH HHHtHǃH [̊‰HAX̋AdHAx̋̋@UVWATAUAVAW!H+)$!HEH3H$ #H=E3DHAD$@D$XD$HH$A3D$PD$`H$D|$4D|$8ADt$QL$AH$p.DH$3A$D$EL$fWH$`!L LHALt$ =>=:@? dthvH FLD$@H<H t f/|$@iH"Lc<H$LcNLPXHHD$H HT$0=L$0H؃tL~$N$HHH$LúH=HvL<H$LcNLHAH&IH #LD$XHc;H ntD$Xf/wf/n 8Lq;H$.6H LD$HHB;H tD$Hf/wf/ LH;H$H qLD$PHM;H t f/|$PL5;H$H &LD$`H;H qtD$`f/wf/q;L ;H$19HH$HHL:H$LcNLHH$H8eD9$L#;H$H 4LD$4H ;H tD$4WA;NL:H$DOH LD$8H:H .tD$8A;L:H$LL$H:HH`D$ AH]L7H$LcNLH2L7H$LcNL`hHL9H$LcNL2:H D;!uuHH H$H 7H$H 7H$H 7HI7H 7L3HcD+H H$9$u$ADlj$A;H u9?$H y9+H$H |9$ H z9HH 9$H 9H$H 9$H 9HH 9$H 9H$H 9p$KH 9HSH$HcHt$xEu fHHAH$H$MLúDd$0H$ILt$hH=r%L99H$L˺Ec HtH /9HH~H$H )9H7HkHHD$pHu&L9H$L˺Dp$H$L$H$HD$(A%D$ RH=rEAD8;$tXH7H$H$Hu6 AL$L8H$,$H$L$H$ HD$(A%D$ H=rAD8;$tXHQ8H$ H$Hu6UAL$ L<8H$v$H$L$H$HD$(A%D$ H=rAD8;$tXH7H$YH$Hu6AL$L7H$cH~]$tH$H 7$tH$ H 7$tH$H 7H$Ht%L7H$A#HtL$H$H 7wH$iH$H`HHCLHu#L7H$DpMH$LHDtLn7H$F$H$$$$H$LLMHD$@f/rH,A$D$Xf/r A$D$Hf/r A$D$Pf/r A$D$`f/r A$D$@f/rH,AD$Xf/r AD$Hf/r AD$Pf/r AD$`f/r AHH I6A$H K6}H ^6A$fH~aH b6A$fH~EH f6A$fH~)H j6A$fH~ |$8II$It$Xt0A|$d3H~$DH$HI5HH;|߃$|IE$A$I|$xE~YI~2H@fnH$HI5ZfI~oHHuH$HB5PHuHl$h|$4H$H$H HH H$3HHD$h~2IHH+fH$HLjC;|Hu-L5H$Du H|$pHt$xHI$IuXt8A}d3H~-fDH$HY4AD HH;|܃$t}I9EAI}xE~]I~6HfnH$H4ZfI~ HHuH$H4 HuHl$h$H$H 4 L$H$H3u $tH$L$H3N $tH$L$ H3' H$H3 H|$pHt$x&Lo2H$ H|$pHt$xMt I MtI Dd$0Dd$0Mt I HtHt AAHt HP H$Ht= 3H$3H$Ht H$H$Ht H$Et,& L$H2HH`E AD|$<l$.v3.H  )=z.u N HHĈH(H8csmu+xu%@ = t=!t="t=@u3H(H(H 3H(%^@SH HH 2HD$8Hu H~H 2HD$8H 2vHD$@H`HLD$@HT$8hHHL$8@Ha2HL$@.HG21HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _%.%0HMZf9t3HcH>>>>>>>>>=="=*=4=>=F=N=X=f=r=|=========>>$>8>D>N>`>r><<<<<<<v<`<J<<<*<<<;;;;;v;d;X;('@)@+@vhd:Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --seeds Specify seeds file --frames Specify frames file --meta Specify meta file --delta -d Specify MSER delta paramter --epsilon -e Specify MSER epsilon parameter --no-dups Remove duplicate --dups Keep duplicates --max-area Specify maximum region (relative) area --min-area Specify minimum region (relative) area --max-variation Specify maximum absolute region stability --bright-on-dark Enable or disable bright-on-dark regions (default 1) --dark-on-bright Enable or disable dark-on-bright regions (default 1) P@vP@hP@dP@P@P@P@P@P@P@P@Q@?Y@Y@  4 2p  4 2p  4 Rp!dJx7!dJx7!dJx7203 !x" p`P& !4,720b2P  d 2p,'( /(  B20,+Y,>>>>>>>>>=="=*=4=>=F=N=X=f=r=|=========>>$>8>D>N>`>r><<<<<<<v<`<J<<<*<<<;;;;;v;d;X;#_vl_statevl_unlock_statevl_thread_specific_state_newvl_lock_statevl_string_copyvl_string_lengthvl_string_parse_protocolvl_string_replace_wildcardvl_mser_deletevl_mser_ell_fitvl_mser_processvl_mser_newvl_pgm_extract_datavl_pgm_get_npixelsvl_pgm_get_bppvl_pgm_extract_headvl_string_basenamevl_string_protocol_namelvl_get_version_string'optind%optarg$getopt_longvl.dllfopenfclosefreemallocprintfsabortexitfprintf__iob_func(_snprintfsscanfmemsetMSVCR90.dll_amsg_exit__getmainargsY__C_specific_handlerU_XcptFilterF_exit_cexit__initenv_initterm_initterm_e _configthreadlocale__setusermatherr_commodeb_fmode7_encode_pointer__set_app_type__crt_debugger_hookC?terminate@@YAXXZ_unlock__dllonexit=_lock_onexit-_decode_pointer9TlsSetValue8TlsGetValue%Sleep1TerminateProcessGetCurrentProcessBUnhandledExceptionFilterSetUnhandledExceptionFilterIsDebuggerPresentRtlVirtualUnwindRtlLookupFunctionEntryRtlCaptureContextNQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64%g %d %lgl1l2chi2kl1kl2kchi2verbosehelpdeltaseedsframesmetamax-areamin-areamax-variationmin-diversitybright-on-darkdark-on-bright%.frame%.frame%.mser%.mser%.meta%.metaInvalid option '%s'.Missing mandatory argument for option '%s'.0.2MSERs filespec: `%s' Frames filespec: `%s' Meta filespec: `%s' Version: driver %s; libvl %s %lf%lfThe argument of '%s' must be a non-negative number.%lfmax-area argument must be in the [0,1] range.min-area argument must be in the [0,1] range.%lf%lfmax-variation argument must be non-negative.min-diversity argument must be in the [0,1] range.The arguments of '%s' is invalid.The arguments of '%s' is invalid.The arguments of '%s' is invalid.meta file supports only ASCII protocol%dbright_on_dark must be 0 or 1.%ddark_on_bright must be 0 or 1.%s: error: %s (%d) rbmser: frames output mser: active %d mser: pattern %s mser: protocol %s mser: seeds output wmser: active %d mser: pattern %s mser: protocol %s mser: meta output mser: active %d mser: pattern %s mser: protocol %s Basename of '%s' is too longmser: processing '%s' mser: basename is '%s' Could not open '%s' for reading.Output file name too long.Could not open '%s' for writing.wOutput file name too long.Could not open '%s' for writing.wOutput file name too long.Could not open '%s' for writing.mser: writing seeds to '%s' mser: writing frames to '%s' mser: writing meta to '%s' PGM header corrputed.mser: image is %I64u by %I64u pixels Could not allocate enough memory.PGM body corrputed.%d Could not create an MSER filter.mser: parameters: mser: delta = %d %f mser: max_area = %g mser: min_area = %g %d mser: max_variation = %g %f mser: min_diversity = %g Could not allocate enough memory. mser: err: %s (%d) u2-+] f_`7p l7Jx7J777 77h&7h&&8&&L8(''8') 8))L8) *L8 *V+D8X++L8++L8+l,T8l,,L8,,t8,,t8--8-.8./8 / PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/msvcr90.dll000066400000000000000000023110001203326130700166010ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $2KaKaKal;aHaKaaUCaaUUaSaUDaaURaJaUTaJaUQaJaRichKaPEd>1G"  n&&bx   @0qCx_( ` En $  .textmn `.rdatasijr@@.datad<@.pdata E` F @@.rsrc ^ @@.reloc b @BH  H\$WH H5H  u!HHJ!H HH\$0H _3H } (!@SH HH ` !HtHЅt3H [H(3E3H(H8t*t%2XHd$ E3E333c> l* f* H8̋R* H8x ~ uX! 1P! 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HG XDAu*s$H-L_ A s`HG ``HG XPA;t2H@7L_ AK HG w p`HG ``E;u/t&D9 t HL_ A s`HG ``DgAAuA/GA;t$+t+t;ul$`ALD$pӋpA D9|$pA HD/u3"L_ A s HG D o pHG p`HG ``HG XPL_ A s HG D o p`YA#ƃ@tBu!_ @ !)D9 EHG A#΃t*GA;t+t+t ;u`  L_ AA#ƃt'*uAC`˃< u 'H\$`#AC`˃< uH\$` H؋l$`=DA?@7u DA D/uFEtAHL_ A s D oHG pHG p`HO A`< uiPyHYPpHEt HG p D oDt HG H  wHG p`HO A`< uiPHYPYA#ƃ?tAu!_ @ !)D9 EHG A#΃t*GA;t+t+t ;u`  L_ AA#ƃt*u t l$` R؃?@7u @6A D/u@At;H]L_ A s D oHG pHG p`HW J` J`HO H"At HG p D o@t HG H  wHG p`HO A` A`HG L$`hP73H\$xH A_A^A]A\_^]H$$HH $$HfnfnXf~fnfn\f~fnfnYf~fnfn^f~*f~H*f~fn-fnH-fn,fnH,fnfnIt+It/It3It7It;It?ItCItGf~f~f~f~f~f~f~f~fnfn/fnfn.fnfn_f~fnfn]f~fnQf~HH $$H$ $X$H$HHH $$H$ $\$H$HHH $$H$ $Y$H$HHH $$H$ $^$H$HHH $$H$ $It/ItxH0]@UH0HHMh xH0]@UHPH 腴HP]@UH0HfH0]@UH@HGH@]@UH H(H ]@UH H H ]@UH0HH0]@UH H˳H ]@UH HyH ]@UH H蝾~ 菾H ]@UH H38E8H ]@UH HH ]@UH HHMpHMhHEhHHM(E HE(AcsmD9uMHE(xuCHE(x tHE(x !t HE(x "uHU(HHH(H9J(uE HE(D9u[HE(xuQHE(x tHE(x !t HE(x "u*HE(Hx0u}ǀE E0E0E0H ]@SUH(HHMP} uJAcsmHD9u8{u2{ t{ !t { "uHK(at H苻޼HH˼HHH(][@UH HHM0 H ]@UH@HHE@HD$0HHD$(HHD$ LLExHUpLH@]@UH HHE3Ɂ8AAH ]@UWH(HH38@NjH(_]@SUH8HH3ہ8ËËH8][@UH0H谰H0]@UH HHM8HM(HE(HHM0HE08csmt E E wH ]@UH H} uLMxDEpHUhHM`JH ]@UH0HM`H0]@UH@H}Dt7}Ht'HcU@HHHLtHkXIdU@ȕH@]@UH@H}@t>}Dt*HHc HHLHkXIdH oH@]@UH0HꋍOH0]@UH0Hꋍ/H0]@UH H H ]@UH H H ]@UH H ծH ]@UWH(H39} u'HcUHHHHL/HkXIdUH胔H(_]@UH HgH ]@UH0HMPFH0]@UH0H+H0]@UAVHHH}@u*HcHHHL5HkXIƀdӓHHA^]@UH0HMP贓MX謓H0]@UH@Hꋍ茓H@]@UH H~H ]@UH H3ZH ]@UH0H3>H0]@UH0H}pt3H0]@UH HHE3ہ8AAH ]@UH H լH ]@UH H 趬H ]@UH H 薬H ]@UH0H wH0]@UH0H WH0]@UH0HHEpH0]@UH0HH0]@UWH8HH8_]@UH0H ׫H0]@UWH(H賑H(_]@UH HH3Ɂ8H ]@UWH(HH8t 8t3H(_]@SUH8HËH8][@SUH8HËH8][@UH HH8t 8t3H ]H)#H H*@eVeleeeeeeeee f"f0f>fLfbftffffffffgg(g2gBgVgbgrgggggggg hh$h:hPhjhhhhhhhhii,iFi^iviiiiiiiijj0j@jNj`jlj~jjjjjjjk,k1G* CorExitProcessmscoree.dllruntime error TLOSS error SING error DOMAIN error R6034 An application has made an attempt to load the C runtime library incorrectly. Please contact the application's support team for more information. R6033 - Attempt to use MSIL code from this assembly during native code initialization This indicates a bug in your application. It is most likely the result of calling an MSIL-compiled (/clr) function from a native constructor or from DllMain. R6032 - not enough space for locale information R6031 - Attempt to initialize the CRT more than once. This indicates a bug in your application. R6030 - CRT not initialized R6028 - unable to initialize heap R6027 - not enough space for lowio initialization R6026 - not enough space for stdio initialization R6025 - pure virtual function call R6024 - not enough space for _onexit/atexit table R6019 - unable to open console device R6018 - unexpected heap error R6017 - unexpected multithread lock error R6016 - not enough space for thread data This application has requested the Runtime to terminate it in an unusual way. Please contact the application's support team for more information. R6009 - not enough space for environment R6008 - not enough space for arguments R6002 - floating point support not loaded Microsoft Visual C++ Runtime Library ...Runtime Error! 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All rights reserved.@ OriginalFilenameMSVCR90.DLL^ProductNameMicrosoft Visual Studio 2008> ProductVersion9.00.21022.8DVarFileInfo$Translation 8@H`hp @HPX`hpxȡСء衐ȩЩة (08@HPX`hpxȪЪت (08@HPX`hpxȫЫث (08@HPX`hpxȬЬج4 (08@HPX`h (pЬ 0@P`pЭ 0@P`pЮ 0@P`pЯT 0@P`pР 0@P`pС 0@d(8HXhxȠؠ(8HXhxHPX`hpxХॠ ȢТآ (08@HPX`hpxȣУأ 8@Hp8@Hpp8XxШب @HPX`hpxȩЩة (08@HPX`hpxȪЪت@HP`ȫЫ   (08@HPX`hpxȮЮخ (08@HPX`hpxȯЯد  (08@HPX`hpxȠРؠ (08@HPX`hpxȡСء (08@HPX`hpxȢТآ (08@HPX`hpxȣУأ (08@HPX`hpxȤФؤ (08@HPX`hpxȥХإ(8HXhxȦئ(8HXhx$0# *H #0#1 0 +0h +7Z0X03 +70% <<<Obsolete>>>0!0 +$% D00<<>c@0  *H 0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0 970110070000Z 201231070000Z0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0"0  *H 0 p;N(x^0ꢩ%_L >|Q`2kBdyvT뜆fkzb#<Ŀ-fh&:, X&F >8,(9IBlUa|`-wL陴d;P1$+=c`Xe7RӿUE:TNzmtN̖ (!W`i7Kc@0  *H  5$w\`2 >:!W,Gb;;Z6Ti$m?̪|1=pjOiCZ Ob{+7%-e%cT!RnC2gl QRǽ0 1 )M[WeIRT(~ū7,zwvj?6A5jj5EZ38nM b T?FUp:uҠ00<<>c@0  *H 0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0 970110070000Z 201231070000Z0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0"0  *H 0 p;N(x^0ꢩ%_L >|Q`2kBdyvT뜆fkzb#<Ŀ-fh&:, X&F >8,(9IBlUa|`-wL陴d;P1$+=c`Xe7RӿUE:TNzmtN̖ (!W`i7Kc@0  *H  5$w\`2 >:!W,Gb;;Z6Ti$m?̪|1=pjOiCZ Ob{+7%-e%cT!RnC2gl QRǽ0 1 )M[WeIRT(~ū7,zwvj?6A5jj5EZ38nM b T?FUp:uҠ0`0L .P\0 +0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0 070822223102Z 120825070000Z0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Code Signing PCA0"0  *H 0 y}]E941%5IwEqFԌkLRbMIl/$>e# HuEP%+ #A$bEJͳ/"J-|o;99ݽ)f;-2'Hlc\򸔣8P'N0==l9.4. }bxfs Oc,2EJ;PSfQyV>Pn5{$Rf=N+~3nGўJnS00U% 0 +0U0[pir#Q~Mˡr0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority<<>c@0U00Uvp[NQD.Dc0 U0 +{~J&μNtX't*uLxMi|CʇSŸVocDDȚ  )}s9=j8m҈#i 4|.)Bk(q8 ]hͽAkf4|zB{ p֒O8|-=4 b7j#\cZ9`U3; _,˫ 0  *RA^0(ip΀Brv0j0R axM0  *H 0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Code Signing PCA0 070823002313Z 090223003313Z0t1 0 UUS10U Washington10URedmond10U Microsoft Corporation10UMicrosoft Corporation0"0  *H 0  Iͪ:4#Ykl!"ꮿ&2],6V+ n(L?A@F فWDv\t3ta~E>հ^ { `j(ub]:![sE㕉w`w73/bɮOg 90qgF PtA/$j!kIIJ9Bm\J׎>x Gؤ#{fJt&AKa`N0Ȃ p|UMwUv00U0U!@|QTKj4.&0U% 0 +0U#0vp[NQD.Dc0DU=0;09753http://crl.microsoft.com/pki/crl/products/CSPCA.crl0H+<0:08+0,http://www.microsoft.com/pki/certs/CSPCA.crt0  *H @WoSg 4K<؁ ytwOGi~bg()UיP^ oY Ӌ> EG&`W K̺MnH(5!r_i$4 ~no R*LI2,]&<[ 5OEGYxWN򭜚A\$>4GN{ɜcS׿Ϡz+,lڿ8\ʀݐ#簡L>&x,kǏ<00 aGR0  *H 0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA0 060916015300Z 110916020300Z01 0 UUS10U Washington10URedmond10U Microsoft Corporation1'0%U nCipher DSE ESN:D8A9-CFCC-579C1'0%UMicrosoft Timestamping Service0"0  *H 0 m܆Q2;7:%oaA;ZxgU~AS(Tp;'H~C2/&Jvwɩ!X~ $D5:T 3,~A ٰ%%ӎmI ÇnFmSF?$~|,y(EO6kSQ ۼʇ 2JQ|,jsrW؛K'3m2hn:."C dɣTx)>Xߪܮeӝg00UOxY |"0U#0oN?4K;AC0DU=0;09753http://crl.microsoft.com/pki/crl/products/tspca.crl0H+<0:08+0,http://www.microsoft.com/pki/certs/tspca.crt0U% 0 +0U0  *H 7'@e&>dĐ>WC @g*ܴ6 3|._P{a1ބiX|'Ep_W^;C?aq}{nZ0 5%aN2t+zrK+:T`ا٩mDk c 2N~7_gFKm}ҾntipKe5D}9nP!>wšWi}io*"73:r0P:ŷ\ͳ00 aI|0  *H 0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA0 060916015522Z 110916020522Z01 0 UUS10U Washington10URedmond10U Microsoft Corporation1'0%U nCipher DSE ESN:10D8-5847-CBF81'0%UMicrosoft Timestamping Service0"0  *H 0 cyD>L$9v 2JXx+٥=&|}~2=97;4Ԓ4hrLฅ3 vs5L]J}xBFq'WуO;?aK0U#0oN?4K;AC0DU=0;09753http://crl.microsoft.com/pki/crl/products/tspca.crl0H+<0:08+0,http://www.microsoft.com/pki/certs/tspca.crt0U% 0 +0U0  *H iz F.4z'(A*!_S^)TJ} Mn(E,92o7Z#RT?d86C:> q(f1\]RR\듐i LvL4 j|D+[TE$%ĊF%i)",F^+w>#odb ->IZt9ΣּȭV<*D?}fͲ c @=e2|=&HN"n000j O%EXzg0  *H 0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority0 060916010447Z 190915070000Z0y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA0"0  *H 0 7nBJqH>S,2ORȃ>3I1(dPKuǨծipfx'f趷 Y")/@VvmdmJT޿ǀL7VhGv\/}%V[jc|<%M9wt]\؆7,u9 |vlnz>q_*Ob`2҃N+"\hE/Pl%ׅvs6ƕz`3[AXn,HoCj&k(0$0U% 0 +0U0[pir#Q~Mˡr0p1+0)U "Copyright (c) 1997 Microsoft Corp.10U Microsoft Corporation1!0UMicrosoft Root Authority<<>c@0 +70UoN?4K;AC0 +7  SubCA0 U0U00  *H M1|PapEsT? -QS9V ތ;ɷQ!oi~k"Flm|"Fӄ6~p]Eݎ*|ɮ2Շc6!v;s!شTeJ(&`;exHϭ:ObX099!dcC/{FeJtn ̝(a|H!8Ŗ2@S=f7"̰wTQ:rD#1w0s00y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Code Signing PCA axM0 +0 *H  1  +70 +7 10  +70# *H  1K'7q}dF0B +7 1402msvcr90.dllhttp://microsoft.com0  *H  M;nЛ]IQ+5 +uc-ܖ˥rȎ+\P葓zud#'MڡWD/ 9E} sKڨ=@wdU ѤͿeK!D-SyQ^i$яiHĖf'AըT)_yFaK߶+ }%?l;|$~RbECqjϡ0 *H  1 000y1 0 UUS10U Washington10URedmond10U Microsoft Corporation1#0!UMicrosoft Timestamping PCA aI|0+]0 *H  1  *H 0 *H  1 071107060411Z0# *H  1e2%8ãeD &0  *H b-);!,OʛR|2 @I+&滸%%\BkAC/Tdk30^*N@̢]ue¥e ŗڔ.Ifb56 @l}\ ˆmq~Zu'hn eykPfyYKJ^LK-a,yE.c4'knڂ-S@T(fb/`b8=p\vlfeat-0.9.16/bin/win64/sift.exe000066400000000000000000000570001203326130700162560ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $ǹǩǩǩǩꤕ<ǩꤕ-ǩꤕ:ǩǨǩꤕ*ǩꤕ8ǩRichǩPEd^mP#  2(;@AYPP.text02 `.rdataP6@@.datapJ@.pdataX@@.rsrcZ@@BBABABABABABAAHQBH\$WH  BH=1B@HHu  BH؋H?AHH\$0H _H\$WH AH=A?HHu AH؋H?AH\$0H _H\$WH HHHtqHT$0H/AHD$0tG~ HAHt:HKLǺAH=r H\$8H _øH\$8H _3H\$8H _H\$WH09IHu 3H\$HH0_HT$(LAA%HHt$@D$ f@H=rIHt$@H\$HH0_Ã;t:HH>HHu Ht$@H\$HH0_Ht$@H\$H3H0_@SH HHHtE>HǃH [L$H(t>D\$0AH(D$?LD$0D$>DBD$1D$=HL$0D$2D$tYHD$`LFHHD$(A%D$ E:H=>t HXH8HHtgHHT$@M9؅9D$4tHH X8HHtI8HdžA;}ZL\$8}@9H=97HHu 9H؋H79I8HL$pL$xH$Ht7HdžH$`H3HĀA_A^_^[AfW\Bf/vf/v3H\$UVWATAUAVAW;6&H+)$;D)$;HcH3H$;>E3DŽ$PL-L$8D$x$$AXqH$THډA\q3fAA^qAAH$[D$HD$LD$TEDt$PEDt$0AADt$<|bH$Y3A$XDŽ$THVH$<3AH$4L$XD$0PbH$93A$8DŽ$4"HSVH$l3AH$dL$8 D$`aH$i3A$hDŽ$dAqH$D D$@ 3҉AqAfAAqL$h#AH$K sCaH$I3ADŽ$D$HEAqH$+D$+AqfAH$+3AL$H`H$/3A$/DŽ$/H6UH$|#3AH$t#L$3D$p#u`H$y'3A$x'DŽ$t'sL$x+5;fEWL 8L8HӋLt$ 4H4u;:h==ƃ<HA 7A7IAD|$0Hr4H$PH#p\H K4LD$HH[TH 3t D9d$H1H4L1VH$3LcNLF3H 3LD$LH6VH U3t D9d$LH3LVH$3LcNL2jH3HDŽ$@ HtgHT$4 4L$4Hd~$DN$DH3HtSH$D LǺ3H=|$8$DLTH$3?2|$8HA`7IH2H$0HH2LSH$3LcNL1LH{2H$`HmHT2LSH$3LcNL1H.2H$p#HV H2LSH$3LcNL51H1H$+H H1LSH$3LcNL0eH 1LD$THTH 0Hh1LTH$3LcNL0H B1LD$xHSH 0t f/t$x'H1LSH$3LcNL<0H 0L$HSH H0tfD/$H0LSH$3LcNL/[H 0L$HSH /tf/$iHP0LSH$3LcNL~//LL$3HSHH`D$ /i/̽l$< /Hc+H HL$`uD9$0u D9$`tD$PAH 0S.D9$PHSH0SH -SHE.$Tv/H SH.H$TH S.H S|.D9$0H SHSH SHEU.$4/H RH8.H$4H R#.H R.D9$`HRHRH RHE-$d.H RH-H$dH R-H R-D9$@ HRHRH RHE-$DD.H RHl-H$D H RW-H RJ-D9$+HRHRH RHE#-$/-H {RH-H$+H kR,H jR,D9$p#HqRHnRH kRHE,$t'x-H URH,H$t#H ER,tH @Rz,HL$`HL$`53)$;=3fDH3HL$`|$8HyH$7DMLH$MMLt$pDt$D,H=r%LQH$3LϺ+]*EtH QH+A~H$7H Q+HQHT+HH$Hu%LQH$3LϺXl+H$H&,t0ehuLQH$3LϺ"+EtL$H$H Q*H$+H$H+HH*H$HH$+H$H+HHH*LHD$hHo Hf H$LHS+tKLHQH$3M*[ LPH$3LϺ&*\ $3$t09Hfn[AD$$H;r9$p#H$7L$t#H$x'HD$(A%@l$ *H=r99$p#tWHnPH$x')H$x+Hu5L$x'LZPH$3'): H$H$p#3~^H$H$p#H$H$p#DH$H$p#;}'IHcH(LHD$p$H$H$p#B.$AH Dt$DBL+$H BD+$BL+L LIcA I'l$0tL$x'H SOA'H$x+Hs'HDŽ$x+L$x'LOH$3'/ L$x'LNH$3T' L$x'LNH$3(' L$x'LONH$3& l$0$PH$7L$TH$XHD$(A%D$ 'H=r:$PtWH+NH$X1&H$XHu5L$XLNH$3<&$`H$7L$dH$hHD$(A%D$ 9'H=r:$`tWHMH$hz%H$h#Hu5L$hLMH$3%9$0H$7L$4H$8HD$(A%D$ &H=re:$0tWHIMH$8$H$8 Hu5)L$8L9MH$3$$@ H$7L$D H$HHD$(A%D$ %H=r:$@ tWHLH$H $H$HHu5rL$HLLH$3$|$PtH$XH L#$0tH$8H L#$`tH$hH L#$@ tH$HH L#D$TDL$LDD$H$$D$ W$LD$xfA/r$fA/r$fA/rHu$LsLH$3#H fL"AT$(H lL"AT$,H L"AT$0H L"H LA$fH~"H LA$fH~j"H LA$fH~N"HLHLMH LHE,"|$<HLHLH LHE"E3L|$Xt$@ Ll$pDt$D3H$tHT$h3Ỉt$@" I"~AT$].]]\\H8@0:@<@Usage: %s [options] files ... Options include: --verbose -v Be verbose --help -h Print this help message --output -o Specify output file --frames Specify frames file --descriptors Specify descriptors file --meta Specify meta file --gss Specify Gaussian scale space files --octaves -O Number of octaves --levels -S Number of levels per octave --first-octave Index of the first octave --edge-thresh Specify the edge threshold --peak-thresh Specift the peak threshold --magnif Specify the magnification factor --read-frames Specify a file from which to read frames --orientations Force the computation of the orientations vhO:S:o:p@vp@hp@Op@Sp@op@p@p@p@p@p@p@p@q@q@@o@?P}@}@  4 2p  4 2p  4 2p  4 Rp!dDX!dDX!dDX20  BB  4 2p!p`07`!ԎďT@X!@X@.%h4z p`P7;!x$X!$X20b2P  d 2p>89@@9  B20>=y=\@  4 2p B>>>@>  4 2p\>_QZ_PHZbPnbXbBb2bbbaaaaata`aXaJa].]]\\#_vl_statevl_unlock_statevl_thread_specific_state_newvl_lock_statevl_string_copyvl_string_lengthvl_string_parse_protocolvl_string_replace_wildcardvl_pgm_insertlvl_get_version_stringvl_sift_deletevl_sift_calc_keypoint_descriptorvl_sift_calc_keypoint_orientationsvl_sift_keypoint_initvl_sift_detectvl_sift_process_next_octavevl_sift_process_first_octavevl_sift_newvl_pgm_extract_datavl_pgm_get_npixelsvl_pgm_get_bppvl_pgm_extract_headvl_string_basenamevl_string_protocol_name%optarg'optind$getopt_longvl.dllfopenfclosefprintffwritesabortfscanffreadfreeprintf(_snprintfmallocqsortreallocexit__iob_funcsscanfmemsetMSVCR90.dll_amsg_exit__getmainargsY__C_specific_handlerU_XcptFilterF_exit_cexit__initenv_initterm_initterm_e _configthreadlocale__setusermatherr_commodeb_fmode7_encode_pointer__set_app_type__crt_debugger_hookC?terminate@@YAXXZ_unlock__dllonexit=_lock_onexit-_decode_pointer9TlsSetValue8TlsGetValue%Sleep1TerminateProcessGetCurrentProcessBUnhandledExceptionFilterSetUnhandledExceptionFilterIsDebuggerPresentRtlVirtualUnwindRtlLookupFunctionEntryRtlCaptureContextNQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64%g %d %lgl1l2chi2kl1kl2kchi2verbosehelpoctaveslevelsoutputmetaframesdescriptorsgssfirst-octaveedge-threshwbpeak-threshmagnifread-frames0.1orientations_%02d_%03dsift: saved gss level to '%s' %.sift%.sift%.frame%.frame%.descr%.descr%.meta%.meta%.pgm%.pgm%.frame%.frameInvalid option '%s'.Missing mandatory argument for option '%s'.%dSIFT filespec: `%s' Frames filespec: `%s' Descriptors filespec: `%s' Meta filespec: `%s' GSS filespec: '%s' Read frames filespec: '%s' Version: driver %s; libvl %s The arguments of '%s' is invalid.The arguments of '%s' is invalid.The arguments of '%s' is invalid.The arguments of '%s' is invalid.meta file supports only ASCII protocolThe arguments of '%s' is invalid.The arguments of '%s' is invalid.The argument of '%s' must be a non-negative integer.%dThe argument of '%s' must be a non-negative integer.%dThe argument of '%s' must be an integer.%lfThe argument of '%s' must be not smaller than 1.%lfThe argument of '%s' must be a non-negative float.%lfThe argument of '%s' must be a non-negative float.%s: error: %s (%d) yessift: write aggregate . no%3s %-6s %-10s sift: write frames .... yesno%3s %-6s %-10s sift: write descriptors yesno%3s %-6s %-10s sift: write meta ...... yesno%3s %-6s %-10s sift: write GSS ....... yesno%3s %-6s %-10s sift: read frames .... yesno%3s %-6s %-10s sift: will compute orientations Basename of '%s' is too longsift: <== '%s' sift: basename is '%s' rbCould not open '%s' for reading.Cannot read from '%s'.'%s' contains a malformed PGM header.sift: image is %I64u by %I64u pixels Could not allocate enough memory.PGM body malformed.rbOutput file name too long.Could not open '%s' for reading'%s' malformed'%s' malformed'%s' malformed'%s' malformedsift: read %d keypoints from '%s' wbOutput file name too long.Could not open '%s' for writingwbOutput file name too long.Could not open '%s' for writingwbOutput file name too long.Could not open '%s' for writingwbOutput file name too long.Could not open '%s' for writingsift: writing all ....... to . '%s' sift: writing frames .... to . '%s' sift: writing descriptors to . '%s' sift: writign meta ...... to . '%s' Could not create SIFT filter.sift: filter settings: sift: octaves (O) = %d sift: levels (S) = %d sift: first octave (o_min) = %d sift: edge thresh = %g yessift: peak thresh = %g nosift: magnif = %g yessift: will source frames? %s nosift: will force orientations? %s sift: GSS octave %d computed Could not write GSS to PGM file.sift: detected %d (unoriented) keypoints sift: err: %s (%d) u2-+] fP X,X8XDX PX _dX_qxXXX%X09X@X0X0bX$X$i5$Yi578Y77HY78YH88XY80:hY0:;Y;*;Y,;v<Yx<<Y<<Y<=Y==Y==Y=>Y>>Y>?Y?>@PY@@\@`Y\@u@`Y@@`Y0 HXX PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_gauss_elimination.exe000066400000000000000000000150001203326130700220540ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $𜔢;~iykRichPEd^mP#  @`H"PP@ .text `.rdata  @@.data0@.pdata@@@.rsrcP@@HHHXWHY I9L@HPHH@H @PHP3l$HT$@f(f(Yl$xYT$hXl$XYL$pYD$`XL$PfTPD0H-H DϋfI~D$ P0HH|3H$HĀ_H8H =DD HLHH rDHD$ ry H8Ht$WH eH%0Hx33H=`tH;u uؿ0;u ~7u'=HYH :ut=;uHH >u 3HH=tH tE3AP3H HNHLDHE /D=!u =0u  -=u  ̃=u ] Ht$0H _H(MZf9t3OHc +HHȁ9PEuA= t= u3v93ytv 9X& H H  H~H]HP Jw=u H  =u  3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H  3H(% @SH HH V HD$8Hu H: ~H v( HD$8H \ HD$@H HLD$@HT$8jHHL$8 H)HL$@ H3HH [H(GHH(H\$WH Hc H=\ HHtHH;rH\$0H _H\$WH H; H=4 HHtHH;rH\$0H _%> %0 HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_getopt_long.exe000066400000000000000000000170001203326130700206650ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $6r}Hr}Hr}HUHp}Hl/kHp}Hl/|Hw}Hr}HP}Hl/lH}}Hl/~Hs}HRichr}HPEd^mP#  0@`s$"PP@ (.text `.rdata  @@.datap0@.pdata@@@.rsrcP@@H\$Ht$WH0HcH g!HL w Ll!3H֋H\$ DbRtAt(:t?uSH #v{H -#gl#H "RWH Y"CHft,ht=t2/H q"H H 1"H*HL L H֋H\$ :H "LIcH;}HH "HH;|H\$@Ht$H3H0_H8H =D"D "H"L"H"H v"D"HD$ v"y H8Ht$WH eH%0Hx33H=d"tH;u !ؿ8";u ~7""u'="HH qt=!!;uHH :!u 3H!H=!tH !tE3AP3!H HR!HLH!HI! 3!H!=%!ug =4!u P "!-!= u ) ̃=!u !  Ht$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9\  H H H H a H N w=u H t =u  3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H  3H(%: @SH HH  HD$8Hu H ~H z HD$8H ` HD$@H HLD$@HT$8fHHL$8t H-HL$@b H/HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _%Z %\ HMZf9t3HcH$F$R$^$#$$$$$$$$$%%###l$###`@H@@d 4R pb  d 2pB2P20E  4 2p Bw  4 2p##!"#@ x"% %%p%F%(% %`%$$,$4$>$F$R$^$#$$$$$$$$$%%###l$###'optind%optarg$getopt_longvl.dllsabortprintfMSVCR90.dll_amsg_exit__getmainargsY__C_specific_handlerU_XcptFilterF_exit_cexitexit__initenv_initterm_initterm_e _configthreadlocale__setusermatherr_commodeb_fmode7_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexit=_lock_onexit-_decode_pointer%SleepSetUnhandledExceptionFilterNQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64helpbuffyfluoridedaggersetdaggerunsetspikeP0@hX0@b`0@fp0@H4@0@H4@0@*** parsing options: start hbf:test_getopt_long: test VLFeat implementation of this function. --help -h this message --buffy -b option with no arguments --fluoride -f option with required argument --daggerset auto option with no arguments --daggerrunset auto option with no argument --spike long option with optional argument option `b' or `buffy' option `f' or `flouride' with arg `%s' option `spike' with arg `%s' automatic longoption (daggerset=%d) illegal option or missing argument illegal option *** parsing options: end non-option: '%s' 2-+] f]!`!H!H-!0B!D!!X!Xo!p!!p!w"!!!0 HXPX PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_heap-def.exe000066400000000000000000000300001203326130700200100ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $kE + + +P +X + * +X +X +X +Rich +PEd^mP#  <$@pfz<3<`P0.text `.rdataj0@@.data@&@.pdataP*@@.rsrc`,@@Hu3HAHHD HD B\BBKDOLH;WL;sbBB (\/(v\/v[B L\/vBBB MKDOLH;rB (\/v B Ht;WHu3HBH (\/v HHuH(HLHt7WHPH(\/vrIH(HH(H(H LBL҉BHHvE3rIH(HH(H(MDMt1BWIRH(\/vBH(̋B+F D BH Z-H%CF D B@WOLHLOTL;s}H\$@L;sRCC;yC+ʅ~RCCMC+˅~9CCMOLOTL;rH\$_CC+ʅ~CCH\$_Ht-HuE3LBIFA;yDBIMuH(LLMt(BIRHDA;y FIH(HH(@SH H L FHDBHHvE3HH [HH [H\$Hl$Ht$WH K|MHHKtH;BH;shDA;y%+ʅ~{BH H+LIщ)L$A+ȅ~UFH "+ILƉLK| Kt H;r'DA+Ѕ~FH *ILljH\$0Hl$8Ht$@H _HtRWH HH\$0Hu3HZHDA;yDH w*LÉ[HHuH\$0H _H\$VH HHHHtJH|$0HzH ;y! H *LljHHQHH|$0H\$8H ^HH\$8H ^H\$WH H LF HHD BH )3HHvE3HHH\$0H _HH\$0H _HA B+ LICEAHAFH\$OLHLOTL;fIKL;scBB;By!B+~mBBBICMBB+~LBBBICMBOLOTL;rH\$BB+~BBBICBH\$LLHt@DMuE3MAIIJBB;yBBBIBMBMuH(L LLMt:LAIQCHA;yIDBIBID\IH(HH(@SH H LLACEHAHAF HHvE3JHH [HH [HHXHhHpWH 3 D$ D$$)pHh@@@OH >@-p@p@H@@@ @p@H@H$ @0H &HHD$HH,BWffffffffnT`H c&HZfI~Ht5T`HSH(L`\/vL`HL$`T`HH;rH &HD\L$`HD$`L`HL$dHw T$`(\/vwL$`T$diT$h(\/v&\$`(\/vEL$`\$dA$L$`(\/vT$`L$hAHL$`HfnT`H Y%HZfI~HH;H E%L[Ht4T`IH(L`\/vL`HL$`T`HIHufnL$lH %fI~ZfH~^-(L$lHHw'T$|(\/}(l$|L$ll\$|$(\/(v\/vE\$ll$|A\/v(T$l$AHL$`H@L$lT$d(\/vHL$`T$lL$dHffD\L$`HD$`L`HL$dHw T$`(\/vwL$`T$diT$h(\/v&\$`(\/vEL$`\$dA$L$`(\/vT$`L$hAHL$`HFfnT`H a#HZfI~HH H L#~HfffDD H L#H[Ht(D HSHDD A;yDD HL$ D HHrH #HDLD$ HˉL$ D HvcD$ T$$Hw+ʅ~MT$ D$$CDD$(A;y+ʅ~3T$ D$$AA+ȅ~DD$ D$(AHL$ HDD H "HHHbH "eHfDD0H "HKHt;D0H{HT0;y(T0H 8!LHӉD0HL$0HkHHrH {"HfL,D$0HˉL$0H L3҉D0HD$0T$4Hw'+ʅT$03H DBD$4iDD$8A;y)+ʅ~YT$03H } DBD$4_A)A+ȅ~/3DD$0H R DBD$84AHL$0HDD0H !H HHH !HHD$HH !HDL\$@Mt6LD$HISCHE A;yG HD$H HL$@KL\$@IHL\$@HrH !xLD$@HL$HILD$@BHD$HBLL$@HT$HIvxDBIwA+~e DHD$HHLDRE;yA+~F DHD$HHAA+…~* DHD$HHAHL$@IHT$HLL$@FH !HHH4L$3I[IkIs A(sI_H8H =D!!D !H!L H H D HD$   y H8Ht$WH eH%0Hx33H= tH;u ؿ ;u ~7z u'=p HH ut=5 C ;uHH >" u 3H H=- tH $ tE3AP3 H u HHLH =us =u  ~-v=Su  ̃=au u OHt$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9 H H HHHp w=Su H @ =9u & 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H { 3H(%. @SH HH  HD$8Hu H ~H  HD$8H  HD$@H HLD$@HT$8jHHL$8 HHL$@ Ho3HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _% % HMZf9t3HcH %f %I64u: %f Pushing heap of structures s[%I64u].x = %d Popping heap of structures s[%I64u].x = %d Pushing heap of structures with custom swap s[%I64u].x = %d Popping heap of structures with custom swap s[%I64u].x = %d Pushing heap of structures with custom container s[%I64u].x = %d Popping heap of structures with custom container s[%I64u].x = %d u2-+] f110w11W1Wt1tv11O1`=1P] 2]2(282D2 X20h2t2T|2`2l!2l!!2!T#2T#9$2<$N$2P$$2$$2$d%2d%{%2|%%3%%3&&3&'03''2''2'(20 HX`X PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_host.exe000066400000000000000000000150001203326130700173170ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $6rHrHrHU;HpHloHpHlxHwHrHmHlhH}HlzHsHRichrHPEd^mP#  4@`"PP@ .text `.rdata  @@.data0@.pdata@@@.rsrcP@@HHH`P@SH HHHR0HHPP3H [H8H =D! D  H LHH DHD$ (y H8Ht$WH eH%0Hx33H=tH;u ؿ;u ~7zu'=pHH mt=5C;uHH 6"u 3HH=-tH $tE3AP3 H HHLH J=uK=u 4~-v=Su M̃=au OHt$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9 H H HHH w=Su H X =9u > 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H  3H(%6 @SH HH  HD$8Hu H ~H  HD$8H  HD$@Hx HLD$@HT$8bHHL$8X HHL$@F Ho+HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _% % HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_imopv.exe000066400000000000000000000200001203326130700174700ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $}}}򓻁}/~}/i}}}/y}/k}Rich}PEd^mP#   @`e"PP@ X.text   `.rdata @@.data0@.pdata@@@.rsrcP@@HAH\$WH H=! HHu H؋HHH\$0H _HH\$WH H=HHu {H؋HuoH\$0H _H\$WH 0H=A)HHu H؋HHCH\$0H _HH`8HH`P@SWAUHAHAD$HP83E3 H$E3ۋE3əMՃƒ+ƒA3Aƒ+ƒH$IAA3Ifn[YADuI|]HHL$HT$`t2H=uH HDW0HĠA]_[Ë|$hDl$`$HH$H$L$H DAL$L$P0HXIcHHcHHHP8H:HLR8H*<LR8HH==HEHEHEHEHE HE(HE0E8H ǁ AIfffL$D$PD$HHD$@HD$8Hl$0LHIHt$(H|$ P HuHs E H f(fH~S0LS Aǃ ffL$D$PD$HHD$@HD$8Hl$0LHIHt$(H|$  IuH  H ff(fH~S0$H$H dED H aEDIr H [EDI\ Hu H$PPHc HPPHV IPPHI IPPL$L$L$H$H$3HĠA]_[H8H =D)D H LHH DHD$  y H8Ht$WH eH%0Hx33H=tH;u M ؿ;u ~7u'=xHq H R ut==K;uH H >*u 3H%H=5tH ,tE3AP3H HHLH =u =u  -~=[u m ̃=iu e WHt$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9. H H HHHw=Wu H ==u 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H 3H(%@SH HH ^HD$8Hu HB~H 0HD$8H HD$@HHLD$@HT$8jHHL$8HHL$@Hw3HH [H(GHH(H\$WH H[H=THHtHH;rH\$0H _H\$WH H3H=,HHtHH;rH\$0H _%%HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_mathop.exe000066400000000000000000000250001203326130700176330ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $l}}}y}/}/}}}/}/}Rich}PEd^mP#  @pʩ 3P`P00.text `.rdata0@@.data@@.pdataP$@@.rsrc`&@@H!D$(k!L$Y7_Y%T!+(ȉD$\$(YY\Y(YY\YD$f(!HL$H0_HY% H+HD$f(\$f(YY\Yf(YY\Y̋3DDAA;rA+y3DHfffffD;rfD+fyD2DD:rD*yHHXHhVWATH)p)xD)@3L .L.H.H .DD)HD)PD)XHv.HD$ HD)d$`D)l$PD)t$@D)|$0P0EWDE(E(D DD=;E(=D%ffD$Y7_A(⋌$A(A(Y%+$$(YY\YA((YY\Y- ^\ZfATZ^YD/wD(EXEE/AZYDZ>HEHl-H }-AZfI~P0D=xEWEAZfA/vHH/-H h-P0AyA(A(fffffffXD/ZYZwHHIfnH,H 7-f(fI~^fI~P0fDEXEE/AZYDZwHfnH,H ,f(fI~^fI~P0DaD5 E(E(H0_E(D 1D=`EHAZE$f(fA(H$HY%H+H$$f(YY\YfA(f(YY\YZAZ ^Z\ZZfAT^YeZD/wD(EXEAZEAZYfD/DZHEH+H +AZfI~P0D= EAZfA/vHRH+H +P0A%A(A(fffXZZYfD/ZwHfnH'+H +f(fI~^fI~P0EXEAZEAZYfD/DZwHfnHH+H Q+f(fI~^fI~P0HYH f*P0HHL-+L .+L3+H8+H =+L\$ P0DۋfEËùfDTD;rD+yAAwHH*H +f(P0HH *=5f(f(fH~D^fI~P0sffffffffH*PQH,w>H?H*H *f(P0H#H *f(^fH~Df(fI~P0;tHH *P0ADEӹ@fffffD;rfD+fƒyffAuHHQ*H ^*f(P0Hl=f(f(fH~H =*D^fI~P0(DfnH,ffuHH*H *f(P0HH )f(^fH~Df(fI~P0f;tHH )P0AE2@2fE2ҹDD:rD*ƒy@AuOHPH)H )f(P0H4@=f(f(fH~H )D^fI~P02@2fffnH,@uHHb)H g)f(P0HH ^)f(^fH~Df(fI~P0@:tHvH G)P0AD(t$@D(|$0L$I[ Ik(A(sA({E(CE(KE(SE([E(cE(kIA\_^%%%H8H =DI)D >)H+)L)H)H (D)HD$ (y H8Ht$WH eH%0Hx33H=(tH;u eؿ(;u ~7(u'=(HiH Jut=](k(;uHH >J(u 3HE(H=U(tH L(tE3AP34(H H'HL'H' ''='u='u '-'={'u ũ='u mw'Ht$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9&6H$H H'H'&H&w={&u H =a&u 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H 3H(%&@SH HH ,&fHD$8Hu HJ~H %8HD$8H %&HD$@HHLD$@HT$8jHHL$8H%HL$@H%3HH [H(GHH(H\$WH HH=HHtHH;rH\$0H _H\$WH HH=HHtHH;rH\$0H _%%HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_mathop_abs.exe000066400000000000000000000170001203326130700204610ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $}}}񓻅}/z}/m}}}/}}/o}Rich}PEd^mP#  0@`x"PP@ (.text   `.rdata  @@.data0@.pdata@@@.rsrcP@@H(DfI*YZH(HHH`8HH`PZfT ZH\$Hl$Ht$WATAUAVAWH@)t$0)|$ ,H=LR8H+HR8L5}=L+HE3LHDIHHDfI*Y\ZADDsuHI5HH+HHHHHL|iHNfnHHH;ZfTZGfAnL=ZfTZGfnKZfTZGfnSZfTZG|H;s!fnHHZfTZGH;rHH Df(fH~S03HI|HHrHII|gHFfnHHH;ZfTZGfAnL=ZfTZGfnKZfTZGfnSZfTZG|H;s!fnHHZfTZGH;rHH tf(fH~S0H IPPH HPPH\$pHl$x(t$0(|$ H$3H@A_A^A]A\_H8H =DmD bHOL4H5H D3HD$  y H8Ht$WH eH%0Hx33H= tH;u ! ؿ;u ~7u'=H H qt=;uH H :nu 3HiH=ytH ptE3AP3XH HHLH =ug =u P -=u ) ̃=u ! Ht$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9 H H H*H+ H w=u H t =u Z 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H  3H(%: @SH HH P HD$8Hu H ~H " HD$8H  HD$@H HLD$@HT$8fHHL$8t HHL$@b H/HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _%Z%\HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_nan.exe000066400000000000000000000150001203326130700171160ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $ܔ{~iykRichPEd^mP#  @`#"PP@ .text `.rdatat  @@.data0@.pdata@@@.rsrcP@@HH( ,HH F fH~P0H H @ fH~P0HH B  fH~P0HH <  fH~P0HeH 6  fH~P0HGH 0  fH~P0H)H * P0HH < P03H(H8H =D D ~ Hk LP HQ H : DO HD$ : y H8Ht$WH eH%0Hx33H=( tH;u ؿ;u ~7u'=HaH But=;uHH >u 3HH=tH tE3AP3tH HHL H   =u =u  -=u  ̃=u  Ht$0H _H(MZf9 t3OHc ;HHȁ9PEuA= t= u3v93ytv 9 . H H } HFHG%H w=u H  =u  3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H  3H(% @SH HH l^ HD$8Hu HB ~H >0 HD$8H $ HD$@H HLD$@HT$8jHHL$8 HHL$@ H3HH [H(GHH(H\$WH HK H=D HHtHH;rH\$0H _H\$WH H# H= HHtHH;rH\$0H _%N %@ HMZf9t3HcH - VL_INFINITY_D: %d u2-+] f!a!d!!!!!$<!D! ! D!D|!Q!d"0L!Le!p!0 HXPX PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_qsort-def.exe000066400000000000000000000160001203326130700202470ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $kE + + +P +X + * +X +X +X +Rich +PEd^mP#  @`H`$"<P@ .textq   `.rdataR @@.data0@.pdata@@@.rsrcP@@B\BBH\$Ht$WH0)t$ WILHًM 2IIIBBHI+HHJDI+HHHI H(\/r H@H(\/r H@(\/r HH(\/r H@HHdH;s, (\/r HHH;rԋI;vLGIHH;s LWH\$@Ht$H(t$ H0_LB3eHHXWH@H <3H@&H @H @HfnL H ZfH~HHrH o3HL$ DBffffffffnL H _ZfH~5HHrH IH\$P3H@_H8H =DuD jHWL<H=H &D;HD$  &y H8Ht$WH eH%0Hx33H=tH;u  ؿ;u ~7u'=Hu H V qt=;uH$ H :vu 3HqH=tH xtE3AP3`H  HHLH =u =u 0 -=u  ̃=u  Ht$0H _H(MZf9(t3OHc WHHȁ9PEuA= t= u3v93ytv 9 B H H ! H2H3H w=u H  =u  3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H  3H(% @SH HH Xr HD$8Hu HV ~H *D HD$8H 2 HD$@H\ HLD$@HT$8fHHL$8< HHL$@* H/HH [H(GHH(H\$WH HW H=P HHtHH;rH\$0H _H\$WH H/ H=( HHtHH;rH\$0H _%j %\ HMZf9t3HcHhd 4R p  4 rpb  d 2p`RB2P20`_,  4 2p B`*P*  4 2p"j#@ `"D% %$$$$$*%####$$$0$#L$^$r$|$$$$#####v#:$`#printfMSVCR90.dll_amsg_exit__getmainargsY__C_specific_handlerU_XcptFilterF_exit_cexitexit__initenv_initterm_initterm_e _configthreadlocale__setusermatherr_commodeb_fmode7_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexit=_lock_onexit-_decode_pointer%SleepSetUnhandledExceptionFilterNQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dll%5.2f %5.2f u2-+] f@p!!E!H!!!! !(!!(!(`!1!D",!,E!Pq!0 HXPX PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_rand.exe000066400000000000000000000160001203326130700172670ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $}}}񓻇}/x}/o}}}/}/m}Rich}PEd^mP#  H@`K0"PP@ .text  `.rdata @@.data0@.pdata@@@.rsrcP@@H(DfI*Y:H(H\$WH HL$0)$ D$ #D$$4D$(ED$,VHT$ HL$0AH sU3fHL$0eH r.̋+ȃu H U Á|H B5\@HL$0H FDfI*YfH~̋+ȃu H ǁ|H$ ($ 3H _H8H =D%D HLHH DHD$ y H8Ht$WH eH%0Hx33H=tH;u  ؿ;u ~7~u'=tHH yt=9G;uHH B&u 3H!H=1tH (tE3AP3H HHLH 6=uG =u 0 -z=Wu  ̃=eu  SHt$0H _H(MZf9t3OHc H|Hȁ9PEuA= t= u3v93ytv 9 H H HHH w=Wu H  ==u : 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H o 3H(%" @SH HH  HD$8Hu H ~H  HD$8H  HD$@Ht HLD$@HT$8nHHL$8T HHL$@B Hs7HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _% %< HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_stringop.exe000066400000000000000000000260001203326130700202110ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $7C-s"CUs"CUs"CUT8Uq"CUmpUr"CUmpUq"CUmpUv"CUs"BU_"CUmpUb"CUmpUr"CURichs"CUPEd^mP#  @p(w2P`P0x.textA `.rdata0@@.data @@.pdataP&@@.rsrc`(@@uoLL$ SVWH AHHt$` H/DHH`L  HT$XHH`L  H/HH`  H\$Hl$Ht$WHPHb5H3H$@L/HL$4 3L /HH/DF$HH3H=/L /DF%H/HHH;L/VHL$4" L /HDF*H/HH3H=J/L /DF+H/HHH;{H-.L.HL$@A*Hl$(D$ \H=L /DF3H/H+HT$@H .H+: +uH…u΅L /H/A4H3H=e.L /H/A5HHH;L%.HL$4A*Hl$(D$ \HL /H/A<HkH3H=-L /H/A=HHH;5L-A*33Hl$(D$ \oHL z/H/ACHH3H=m-L /H/ADHHH;L/HL$@E3ɺH=֋L ~/AIH/wHT$@H /H+: +uH…u΅L c/Ht/AJ.L/HL$@Aq֋H=L p/AN…Hv/HT$@H /H+: +uH…u΅L S/Hd/AOLo/HL$@A֋H=L X/AS…H^/VHT$@H &,H+: +uH…u΅L ;/HL/ATLO/HL$@AQ֋H=L 8/AX…H>/HT$@H +H+: +uH…u΅L /H,/AY~HT$0H 2/|$0L ~0H_/A^HFHT$0H|$0L K0HC/A`HHT$0Hl|$0L 0H'/AbHHT$0H8|$0L /H /AdHHT$0H|$0L /H.AfHvHT$0H|$0L /H.AhHBHT$0H|$0HL F/H.AjH=.HH+ :+uH…uL *H.@AkH\$ L.HH0H.3H$@H3L$PI[IkIs I_@SH EHLAALtA@McPLHcL#IcJHCHHKAt AHLL3IH [9H(MA8HIH(ffH; -uHfuHH8H 4Dm3D b3H-L-H-H -D-HD$ -y ,H8Ht$WH eH%0Hx33H= 3tH;u yؿ2;u 72u'=2HH nt=-2;uH<H %n2u 3Hi2H=y2tH p2tE3AP3X2H H,HL,H, k,,=],u_=l,u Z,-R,=/,u ̃==,u +,Ht$0H _H(MZf9t3OHc HHȁ9PEuA= t= u3v93ytv 9+HH H*1H+1 1H0=7+u H =+u 3H(H(H(HL$HH +L,L\$XE3HT$`HL$XqHD$PH|$PtAHD$8HD$HHD$0HD$@HD$(Hd+HD$ LL$PLD$XHT$`3"H$H0,H$HH+H,H*H$H+^* X*H)HD$hH)HD$p*~3H w =*u V HHĈH(H8csmu+xu%@ = t=!t="t=@u3H(H(H {3H(%F@SH HH /HD$8Hu H~H .HD$8H .HD$@HxHLD$@HT$8pHHL$8XH.HL$@FHo.9HH [H(GHH(H\$WH HH=HHtHH;rH\$0H _H\$WH HH=HHtHH;rH\$0H _%%HMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_svd2.exe000066400000000000000000000200001203326130700172140ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $}}}񓻀}/}/h}}}/x}/j}Rich}PEd^mP#  @`|"PP@ .texta  `.rdata @@.data0@.pdata@@@.rsrcP@@H8ZBfI~fI~JD$(HH ? L$ H8 A@AYYBX JBAY@AYXIAHA@YBY XIRBAYPAY@XQHHHBHAHBHAHBHAAIYYI\HHXHhHpWHYA)p)xD)@IIHHH/I@H D)HfI~fI~HD)PS_fI~fI~HH GOD$(L$ HH ]UEfI~fI~MD$(L$ ^HH IFNfI~fI~D$(L$ DU]UDM/OfE(f(fA(Y^DYVDYNDX_f(YDYFY~DXf(YYVXf(DXYAYXWf(AYAYAYYHH rf(XfI~AYAYXXT$(f(d$ fI~ /OHdH !wWf(Yf(f(f(YYYXf(YYXf(YYXXfI~T$(f(d$ fI~' .NHH vVf(Yf(f(f(YYYXf(YYXf(YYXXfI~T$(f(d$ fI~  CYKH YYC\fH~u OGH DYYG\fH~L NFH +YYF\fH~# MEH YMYE\fH~ H L$(t$p(|$`I[IkIs E(CE(KE(SI_H% HH6  & LL$PL@HPHHD$P H @Hj LL$pL$H$HL$PkLL$PLD$pfWl$XH$H$! LL$pL$H$HL$P"H$LL$pl$hD$`L$PLD$xH$H$l$@D$8L$0HD$(H$HD$  LL$p- f(\$L$H$HL$P\D$x$$D$p$$$W3HH8H =DaD VHCL(H)H D'HD$  y H8Ht$WH eH%0Hx33H=tH;u ؿ;u ~7u'=H H z mt=u;uHH H 1 6bu 3H]H=mtH dtE3AP3LH %HHLH =u=u -=u ̃=u Ht$0H _H(MZf94t3OHc cH Hȁ9PEuA= t= u3v93ytv 9fHTH EHHHw=u H =uu 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H 3H(%@SH HH DHD$8Hu Hz~H hHD$8H VHD$@HHLD$@HT$8bHHL$8HHL$@H+HH [H(GHH(H\$WH HH=HHtHH;rH\$0H _H\$WH H{H=tHHtHH;rH\$0H _%v% HMZf9t3HcHIL<H\$@H _%%%%@UH HHHыDH ]@UH HH ]@UH HH3Ɂ8H ]%%%%d%\%%h$p$z$$$$$$Z$$$$ % %*%8%@%J%B$2$$$$$##@@@S@?M"B뿢Ռ?m.$?boo[2-x)hdT4p  b  d 2pTFB2P20TS  4 2p BT@  4 2p#$!#$@ "% %%%%d%\%%h$p$z$$$$$$Z$$$$ % %*%8%@%J%B$2$$$$$##vl_lapack_dlasv2vl_svd2vl.dllprintfMSVCR90.dll_amsg_exit__getmainargsY__C_specific_handlerU_XcptFilterF_exit_cexitexit__initenv_initterm_initterm_e _configthreadlocale__setusermatherr_commodeb_fmode7_encode_pointer__set_app_typeC?terminate@@YAXXZ_unlock__dllonexit=_lock_onexit-_decode_pointer%SleepSetUnhandledExceptionFilterNQueryPerformanceCounterfGetTickCountGetCurrentThreadIdGetCurrentProcessIdOGetSystemTimeAsFileTimeKERNEL32.dllfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2%s = [ %10f %10f ] [ %10f %10f ] MUSVUSV'U'UV'V det(M) = %f det(U) = %f det(V) = %f det(S) = %f u2-+] fB! .!@!9!<!""""$""D"TD"!P"4p""5"@a"0 HXPX PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/test_threads.exe000066400000000000000000000170001203326130700177760ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $}}}򓻁}/~}/i}}}/y}/k}Rich}PEd^mP#  `@`h"PP@ X.text!  `.rdata @@.data0@.pdata@@@.rsrcP@@H(>H(HH H`PH\$WH  HH DpHH0nHuH f(fI~H\$03H _H\$Ht$WHp3H|$HHcLF3LL03LL$(t$ HHrH\$HfDH HHuH !HH!HHPPL\$p3I[IsI_H8H =D5D *HLHH DHD$ |y H8Ht$WH eH%0Hx33H=tH;u  ؿ;u ~7u'=HH qt=IW;uHH :6u 3H1H=AtH 8tE3AP3 H HHLH =uW =u @ -=gu  ̃=uu  cHt$0H _H(MZf9xt3OHc HdHȁ9PEuA= t= u3v93ytv 9 H H HHH w=cu H d =Iu J 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H _ 3H(%z @SH HH  HD$8Hu H ~H  HD$8H  HD$@H HLD$@HT$8fHHL$8d HHL$@R H/HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _%J %L HMZf9t3HcH 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=u < -=u  ̃=u  Ht$0H _H(MZf9t3OHc HpHȁ9PEuA= t= u3v93ytv 9 H H H&H'H w=u H ` =u F 3H(H(H(H(H8csmu+xu%@ = t=!t="t=@u3H(H(H k 3H(%v @SH HH L HD$8Hu H ~H  HD$8H  HD$@H HLD$@HT$8bHHL$8` HHL$@N H+HH [H(GHH(H\$WH H H= HHtHH;rH\$0H _H\$WH H H= HHtHH;rH\$0H _%F%HHMZf9t3HcH PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGvlfeat-0.9.16/bin/win64/vl.dll000066400000000000000000007250001203326130700157260ustar00rootroot00000000000000MZ@ !L!This program cannot be run in DOS mode. $_[1[1[1|JY1EX1[01控Z1EZ1EY1E|1EZ1EZ1Rich[1PEd^mP"   NU7M< (.text `.rdataGdf@@.data&j@.pdata  @@.rsrc@@.relocx@BHH%!H%)H\$fWE3ɃDHEI|AA@HQDDHXRH IXRXRXRuE;sAH A+XHHuAI|nA@HKD HfffffAIH H^^AAII^^AIuE;s!E+HAHH^@uH\$@SH ًHĔ3҅tLAI;rH [H\$Hl$Ht$H|$ 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LP64%s, %s, %sfloatdoubleint8int16int32int64int8int16int32int64ikm: training with %d data ikm: %d clusters ikm: Elkan algorithm: total iterations: %d ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f) floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2kmeans: Lloyd iter %d: energy = %g kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: Lloyd iter %d: energy = %g kmeans: Lloyd terminating because maximum number of iterations reached kmeans: Lloyd terminating because the algorithm fully converged kmeans: Lloyd iter %d: restarted %d centers kmeans: Elkan iter 0: energy = %g, dist. calc. = %d kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d kmeans: Elkan iter %d: restarted %d centers kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d) kmeans: Elkan terminating because maximum number of iterations reached kmeans: Elkan terminating because the algorithm fully converged kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd) kmeans: Elkan: there have been %d restarts kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d) kmeans: repetition %d of %d kmeans: K-means initialized in %.2f s kmeans: K-means termineted in %.2f s with energy %g floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2%d%d%d %udInvalid PGM dataP5 %d %d %d Error writing PGM datarbError opening PGM file `%s' for readingvl_pgm_read(): PGM with BPP > 1 not supportedwbError opening PGM file for 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vl.dll/ 1349344954 0 474 ` d^mP.debug$S<@B.idata$2@0.idata$6@  vl.dll' RMicrosoft (R) LINK vl.dll@comp.idR.idata$2@h.idata$6.idata$4@h.idata$5@h4H__IMPORT_DESCRIPTOR_vl__NULL_IMPORT_DESCRIPTORvl_NULL_THUNK_DATAvl.dll/ 1349344954 0 245 ` d^mP.debug$S<d@B.idata$3@0 vl.dll' RMicrosoft (R) LINK@comp.idR__NULL_IMPORT_DESCRIPTOR vl.dll/ 1349344954 0 276 ` d^mP.debug$S<@B.idata$5@@.idata$4@@ vl.dll' RMicrosoft (R) LINK@comp.idRvl_NULL_THUNK_DATAvl.dll/ 1349344954 0 47 ` d^mP_vl_distance_chi2_dvl.dll vl.dll/ 1349344954 0 47 ` d^mP_vl_distance_chi2_fvl.dll vl.dll/ 1349344954 0 52 ` d^mP _vl_distance_chi2_sse2_dvl.dllvl.dll/ 1349344954 0 52 ` d^mP _vl_distance_chi2_sse2_fvl.dllvl.dll/ 1349344954 0 52 ` d^mP _vl_distance_hellinger_dvl.dllvl.dll/ 1349344954 0 52 ` d^mP _vl_distance_hellinger_fvl.dllvl.dll/ 1349344954 0 45 ` d^mP_vl_distance_js_dvl.dll vl.dll/ 1349344954 0 45 ` d^mP_vl_distance_js_fvl.dll vl.dll/ 1349344954 0 45 ` d^mP_vl_distance_l1_dvl.dll vl.dll/ 1349344954 0 45 ` d^mP 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Home - About

VLFeat is a cross-platform open source collection of vision algorithms with a special focus on visual features (for instance SIFT and MSER) and clustering (k-means, hierarchical k-means, agglomerative information bottleneck). It bundles a MATLAB toolbox, a clean and portable C library and a number of command line utilities. Thus it is possible to use the same algorithm both from MATLAB, the command line, and your own programs.

Many parties make the development of VLFeat possible:

Sponsors

PASCAL2 credits In 2012 the development of VLFeat is supported by the PASCAL Harvest programme. Several people have been working in Oxford to add new functionalities to the library. Moreover, leading researchers in computer vision were consulted as advisors of the project.

Some of these advancements are going to be presented at an upcoming tutorial at the European Conference in Computer Vision (ECCV) 2012.

See the PASCAL Harvest Roadmap for further details.

Team

VLFeat is developed by a team of computer vision researchers, including master and PhD students, postgraduates, and senior researchers, as listed below. VLFeat was created by Andrea Vedaldi and Brian Fulkerson in 2007, based on previously published software by the same authors.

Andrea Vedaldi picture Andrea Vedaldi joined the faculty at the University of Oxford in 2012. Since 2008 he was junior research fellow in the Oxford Visual Geometry Group. He received the Ph.D. and Master's degrees in Computer Science from the University of California - Los Angeles, in 2008 and 2005, and the Bachelor's degree in Information Engineering from the University of Padova, Italy, in 2003. He is the recipient of the UCLA outstanding Master's and Ph.D. awards.

Brian Fulkerson picture Brian Fulkerson received his B.S. in Computer Engineering from the University of California - San Diego in 2004, and his M.S. and Ph.D. in Computer Science from the University of California - Los Angeles Vision Lab in 2006 and 2010.

Karel Lenc picture Karel Lenc Karel Lenc received his B.S. degree in Cybernetics and Measurements from the Czech Technical University in 2010. He is currently pursuing M.S. degree in Computer Vision and Computer Engineering at the CTU, Center for Machine Perception. He visited the Department of Engineering Mathematics, University of Bristol in 2011 and the Oxford Visual Geometry Group in 2012.

Daniele Perrone picture Daniele Perrone received his B.S. degree in Computer Engineering from Università della Calabria in 2007, and his M.S. degree in Artificial Intelligence from "Sapienza" Università di Roma in 2009. He started his Ph.D. in June 2010 at Heriot-Watt University, Edinburgh, UK. From June 2012 he joined the Computer Vision Group at the Universität Bern, Switzerland.

Michal Perdoch picture Michal Perdoch received his Bachelor's degree in Software Engineering from the Slovak University of Technology in Bratislava in 2001, Master's degree in Computer Science and Ph.D. degree in Artificial Intelligence and Biocybernetics from the Czech Technical University in Prague, in 2004 and 2011. He is currently a postdoctoral researcher at the CTU Center for Machine Perception.


Advisors

The development of VLFeat is supported by a number of computer vision groups and researchers:

  • Prof. Andrew Zisserman, Oxford VGG Lab.
  • Prof. Jiri Matas, Czech Technical University in Prague.
  • Prof. Tinne Tuytelaars, KU Leuven.
  • Dr. Cordelia Schmid, LEAR, Grenoble.
  • Dr. Krystian Mikolajczyk, Surrey.
  • Prof. Stefano Soatto, UCLA Vision Lab.

Users and community

The authors would like to thank the many colleagues that have contributed to VLFeat by testing and providing helpful suggestions and comments.

 
vlfeat-0.9.16/doc/api/000077500000000000000000000000001203326130700144035ustar00rootroot00000000000000vlfeat-0.9.16/doc/api/aib.html000066400000000000000000000261101203326130700160240ustar00rootroot00000000000000 VLFeat - Documentation - C API
Documentation - C API
Agglomerative Information Bottleneck (AIB)
Author:
Brian Fulkerson
Andrea Vedaldi

aib.h implemens the Agglomerative Information Bottleneck (AIB) algorithm as first described in [14] .

AIB takes a discrete valued feature $x$ and a label $c$ and gradually compresses $x$ by iteratively merging values which minimize the loss in mutual information $I(x,c)$.

While the algorithm is equivalent to the one described in [14] , it has some speedups that enable handling much larger datasets. Let N be the number of feature values and C the number of labels. The algorithm of [14] is $O(N^2)$ in space and $O(C N^3)$ in time. This algorithm is $O(N)$ space and $O(C N^2)$ time in common cases ( $O(C N^3)$ in the worst case).

Overview

Given a discrete feature $x \in \mathcal{X} = \{x_1,\dots,x_N\}$ and a category label $c = 1,\dots,C$ with joint probability $p(x,c)$, AIB computes a compressed feature $[x]_{ij}$ by merging two values $x_i$ and $x_j$. Among all the pairs $ij$, AIB chooses the one that yields the smallest loss in the mutual information

\[ D_{ij} = I(x,c) - I([x]_{ij},c) = \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)} + \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)} - \sum_c (p(x_i)+p(x_j)) \log \frac {p(x_i,c)+p(x_i,c)}{(p(x_i)+p(x_j))p(c)} \]

AIB iterates this procedure until the desired level of compression is achieved.

Algorithm details

Computing $D_{ij}$ requires $O(C)$ operations. For example, in standard AIB we need to calculate

\[ D_{ij} = I(x,c) - I([x]_{ij},c) = \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)} + \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)} - \sum_c (p(x_i)+p(x_j)) \log \frac {p(x_i,c)+p(x_i,c)}{(p(x_i)+p(x_j))p(c)} \]

Thus in a basic implementation of AIB, finding the optimal pair $ij$ of feature values requires $O(CN^2)$ operations in total. In order to join all the $N$ values, we repeat this procedure $O(N)$ times, yielding $O(N^3 C)$ time and $O(1)$ space complexity (this does not account for the space need to store the input).

The complexity can be improved by reusing computations. For instance, we can store the matrix $D = [ D_{ij} ]$ (which requires $O(N^2)$ space). Then, after joining $ij$, all of the matrix D except the rows and columns (the matrix is symmetric) of indexes i and j is unchanged. These two rows and columns are deleted and a new row and column, whose computation requires $O(NC)$ operations, are added for the merged value $x_{ij}$. Finding the minimal element of the matrix still requires $O(N^2)$ operations, so the complexity of this algorithm is $O(N^2C + N^3)$ time and $O(N^2)$ space.

We can obtain a much better expected complexity as follows. First, instead of storing the whole matrix D, we store the smallest element (index and value) of each row as $(q_i, D_i)$ (notice that this is also the best element of each column since D is symmetric). This requires $O(N)$ space and finding the minimal element of the matrix requires $O(N)$ operations. After joining $ij$, we have to efficiently update this representation. This is done as follows:

  • The entries $(q_i,D_i)$ and $(q_j,D_j)$ are deleted.
  • A new entry $(q_{ij},D_{ij})$ for the joint value $x_{ij}$ is added. This requires $O(CN)$ operations.
  • We test which other entries $(q_{k},D_{k})$ need to be updated. Recall that $(q_{k},D_{k})$ means that, before the merge, the value closest to $x_k$ was $x_{q_k}$ at a distance $D_k$. Then
    • If $q_k \not = i$, $q_k \not = j$ and $D_{k,ij} \geq D_k$, then $q_k$ is still the closest element and we do not do anything.
    • If $q_k \not = i$, $q_k \not = j$ and $D_{k,ij} < D_k$, then the closest element is $ij$ and we update the entry in constant time.
    • If $q_k = i$ or $q_k = j$, then we need to re-compute the closest element in $O(CN)$ operations.

This algorithm requires only $O(N)$ space and $O(\gamma(N) C N^2)$ time, where $\gamma(N)$ is the expected number of times we fall in the last case. In common cases one has $\gamma(N) \approx \mathrm{const.}$, so the time saving is significant.

 
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Functions
aib.c File Reference

AIB - Definition. More...

#include "aib.h"
#include <stdio.h>
#include <stdlib.h>
#include <float.h>
#include <math.h>

Functions

void vl_aib_normalize_P (double *P, vl_uint nelem)
 Normalizes an array of probabilities to sum to 1.
vl_uint * vl_aib_new_nodelist (vl_uint nentries)
 Allocates and creates a list of nodes.
double * vl_aib_new_Px (double *Pcx, vl_uint nvalues, vl_uint nlabels)
 Allocates and creates the marginal distribution Px.
double * vl_aib_new_Pc (double *Pcx, vl_uint nvalues, vl_uint nlabels)
 Allocates and creates the marginal distribution Pc.
void vl_aib_min_beta (VlAIB *aib, vl_uint *besti, vl_uint *bestj, double *minbeta)
 Find the two nodes which have minimum beta.
void vl_aib_merge_nodes (VlAIB *aib, vl_uint i, vl_uint j, vl_uint new)
 Merges two nodes i,j in the internal datastructure.
void vl_aib_update_beta (VlAIB *aib)
 Updates aib->beta and aib->bidx according to aib->which.
void vl_aib_calculate_information (VlAIB *aib, double *I, double *H)
 Calculates the current information and entropy.
VlAIB * vl_aib_new (double *Pcx, vl_uint nvalues, vl_uint nlabels)
 Allocates and initializes the internal data structure.
void vl_aib_delete (VlAIB *aib)
 Deletes AIB data structure.
void vl_aib_process (VlAIB *aib)
 Runs AIB on Pcx.

Detailed Description

Author:
Brian Fulkerson
Andrea Vedaldi

Function Documentation

void vl_aib_calculate_information ( VlAIB *  aib,
double *  I,
double *  H 
)
Parameters:
aibA pointer to the internal data structure
IThe current mutual information (out).
HThe current entropy (out).

Calculates the current mutual information and entropy of Pcx and sets I and H to these new values.

void vl_aib_delete ( VlAIB *  aib)
Parameters:
aibdata structure to delete.
void vl_aib_merge_nodes ( VlAIB *  aib,
vl_uint  i,
vl_uint  j,
vl_uint  new 
)
Parameters:
aibA pointer to the internal data structure
iThe index of one member of the pair to merge
jThe index of the other member of the pair to merge
newThe index of the new node which corresponds to the union of (i, j).

Nodes are merged by replacing the entry i with the union of ij, moving the node stored in last position (called lastnode) back to jth position and the entry at the end.

After the nodes have been merged, it updates which nodes should be considered on the next iteration based on which beta values could potentially change. The merged node will always be part of this list.

void vl_aib_min_beta ( VlAIB *  aib,
vl_uint *  besti,
vl_uint *  bestj,
double *  minbeta 
)
Parameters:
aibA pointer to the internal data structure
bestiThe index of one member of the pair which has mininum beta
bestjThe index of the other member of the pair which minimizes beta
minbetaThe minimum beta value corresponding to (i, j)

Searches aib->beta to find the minimum value and fills minbeta and besti and bestj with this information.

VlAIB* vl_aib_new ( double *  Pcx,
vl_uint  nvalues,
vl_uint  nlabels 
)
Parameters:
PcxA pointer to a 2D array of probabilities
nvaluesThe number of rows in the array
nlabelsThe number of columns in the array

Creates a new VlAIB struct containing pointers to all the data that will be used during the AIB process.

Allocates memory for the following:

  • Px (nvalues*sizeof(double))
  • Pc (nlabels*sizeof(double))
  • nodelist (nvalues*sizeof(vl_uint))
  • which (nvalues*sizeof(vl_uint))
  • beta (nvalues*sizeof(double))
  • bidx (nvalues*sizeof(vl_uint))
  • parents ((2*nvalues-1)*sizeof(vl_uint))
  • costs (nvalues*sizeof(double))

Since it simply copies to pointer to Pcx, the total additional memory requirement is:

(3*nvalues+nlabels)*sizeof(double) + 4*nvalues*sizeof(vl_uint)

Returns:
An allocated and initialized VlAIB pointer
vl_uint* vl_aib_new_nodelist ( vl_uint  nentries)
Parameters:
nentriesThe size of the list which will be created
Returns:
an array containing elements 0...nentries
double* vl_aib_new_Pc ( double *  Pcx,
vl_uint  nvalues,
vl_uint  nlabels 
)
Parameters:
PcxA two-dimensional array of probabilities
nvaluesThe number of rows in Pcx
nlabelsThe number of columns in Pcx
Returns:
an array of size nlabels which contains the marginal distribution over the columns
double* vl_aib_new_Px ( double *  Pcx,
vl_uint  nvalues,
vl_uint  nlabels 
)
Parameters:
PcxA two-dimensional array of probabilities
nvaluesThe number of rows in Pcx
nlabelsThe number of columns in Pcx
Returns:
an array of size nvalues which contains the marginal distribution over the rows.
void vl_aib_normalize_P ( double *  P,
vl_uint  nelem 
)
Parameters:
PThe array of probabilities
nelemThe number of elements in the array
Returns:
Modifies P to contain values which sum to 1
void vl_aib_process ( VlAIB *  aib)
Parameters:
aibAIB object to process

The function runs Agglomerative Information Bottleneck (AIB) on the joint probability table aib->Pcx which has labels along the columns and feature values along the rows. AIB iteratively merges the two values of the feature x that causes the smallest decrease in mutual information between the random variables x and c.

Merge operations are arranged in a binary tree. The nodes of the tree correspond to the original feature values and any other value obtained as a result of a merge operation. The nodes are indexed in breadth-first order, starting from the leaves. The first index is zero. In this way, the leaves correspond directly to the original feature values. In total there are 2*nvalues-1 nodes.

The results may be accessed through vl_aib_get_parents which returns an array with one element per tree node. Each element is the index the parent node. The root parent is equal to zero. The array has 2*nvalues-1 elements.

Feature values with null probability are ignored by the algorithm and their nodes have parents indexing a non-existent tree node (a value bigger than 2*nvalues-1).

Then the function will also compute the information level after each merge. vl_get_costs will return a vector with the information level after each merge. cost has nvalues entries: The first is the value of the cost functional before any merge, and the others are the cost after the nvalues-1 merges.

void vl_aib_update_beta ( VlAIB *  aib)
Parameters:
aibAIB data structure.

The function calculates beta[i] and bidx[i] for the nodes i listed in aib->which. beta[i] is the minimal variation of mutual information (or other score) caused by merging entry i with another entry and bidx[i] is the index of this best matching entry.

Notice that for each entry i that we need to update, a full scan of all the other entries must be performed.

 
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Documentation - C API
Data Structures | Functions
aib.h File Reference

AIB (Agglomerative Information Bottleneck (AIB)) More...

#include "generic.h"
#include "mathop.h"

Data Structures

struct  VlAIB
 AIB algorithm data. More...

Functions

void vl_aib_set_verbosity (VlAIB *self, int verbosity)
 Set the verbosity.
int vl_aib_get_verbosity (VlAIB const *self)
 Get the verbosity.
Create and destroy
VlAIB * vl_aib_new (double *Pcx, vl_uint nvalues, vl_uint nlabels)
 Allocates and initializes the internal data structure.
void vl_aib_delete (VlAIB *aib)
 Deletes AIB data structure.
Process data
void vl_aib_process (VlAIB *aib)
 Runs AIB on Pcx.
Retrieve results
vl_uint * vl_aib_get_parents (VlAIB const *aib)
 Get resulting list of parents.
double * vl_aib_get_costs (VlAIB const *aib)
 Get a list of merge costs.

Detailed Description

Author:
Brian Fulkerson
Andrea Vedaldi

Function Documentation

void vl_aib_delete ( VlAIB *  aib)
Parameters:
aibdata structure to delete.
double * vl_aib_get_costs ( VlAIB const *  aib)
inline
Parameters:
aibAIB filter.
Returns:
An array of costs
vl_uint * vl_aib_get_parents ( VlAIB const *  aib)
inline
Parameters:
aibAIB filter.
Returns:
An array of parents
int vl_aib_get_verbosity ( VlAIB const *  self)
inline
Parameters:
selfAIB object.
Returns:
the verbosity level.
VlAIB* vl_aib_new ( double *  Pcx,
vl_uint  nvalues,
vl_uint  nlabels 
)
Parameters:
PcxA pointer to a 2D array of probabilities
nvaluesThe number of rows in the array
nlabelsThe number of columns in the array

Creates a new VlAIB struct containing pointers to all the data that will be used during the AIB process.

Allocates memory for the following:

  • Px (nvalues*sizeof(double))
  • Pc (nlabels*sizeof(double))
  • nodelist (nvalues*sizeof(vl_uint))
  • which (nvalues*sizeof(vl_uint))
  • beta (nvalues*sizeof(double))
  • bidx (nvalues*sizeof(vl_uint))
  • parents ((2*nvalues-1)*sizeof(vl_uint))
  • costs (nvalues*sizeof(double))

Since it simply copies to pointer to Pcx, the total additional memory requirement is:

(3*nvalues+nlabels)*sizeof(double) + 4*nvalues*sizeof(vl_uint)

Returns:
An allocated and initialized VlAIB pointer
void vl_aib_process ( VlAIB *  aib)
Parameters:
aibAIB object to process

The function runs Agglomerative Information Bottleneck (AIB) on the joint probability table aib->Pcx which has labels along the columns and feature values along the rows. AIB iteratively merges the two values of the feature x that causes the smallest decrease in mutual information between the random variables x and c.

Merge operations are arranged in a binary tree. The nodes of the tree correspond to the original feature values and any other value obtained as a result of a merge operation. The nodes are indexed in breadth-first order, starting from the leaves. The first index is zero. In this way, the leaves correspond directly to the original feature values. In total there are 2*nvalues-1 nodes.

The results may be accessed through vl_aib_get_parents which returns an array with one element per tree node. Each element is the index the parent node. The root parent is equal to zero. The array has 2*nvalues-1 elements.

Feature values with null probability are ignored by the algorithm and their nodes have parents indexing a non-existent tree node (a value bigger than 2*nvalues-1).

Then the function will also compute the information level after each merge. vl_get_costs will return a vector with the information level after each merge. cost has nvalues entries: The first is the value of the cost functional before any merge, and the others are the cost after the nvalues-1 merges.

void vl_aib_set_verbosity ( VlAIB *  self,
int  verbosity 
)
inline
Parameters:
selfAIB object.
verbositya non-negative integer.
 
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Data Structures
Here are the data structures with brief descriptions:
oCoptiongetopt_long option
oCVlAIBAIB algorithm data
oCVlArrayNumeric array
oCVlCovDetCovariant feature detector
oCVlCovDetFeatureA detected feature
oCVlDsiftDescriptorGeometryDense SIFT descriptor geometry
oCVlDsiftFilterDense SIFT filter
oCVlDsiftKeypointDense SIFT keypoint
oCVlEnumeratorMember of an enumeration
oCVlFileMetaSupport for command line drivers - Definition
oCVlFrameDiscDisc feature frame
oCVlFrameEllipseEllipse feature frame
oCVlFrameOrientedDiscOriented disc feature frame An upright frame has angle equal to zero
oCVlFrameOrientedEllipseOriented ellipse feature frame The affine transformation transforms the ellipse shape into a circular region
oCVlHIKMNodeHIKM tree node
oCVlHIKMTreeHIKM tree
oCVlHomogeneousKernelMapHomogeneous kernel map
oCVlIKMFiltIKM quantizer
oCVlKDForestKDForest object
oCVlKDForestNeighborNeighbor of a query point
oCVlKMeansK-means quantizer
oCVlLbpLocal Binary Pattern extractor
oCVlMserExtrRegMSER: extremal region (declaration)
oCVlMserFiltMSER filter
oCVlMserRegMSER: basic region (declaration)
oCVlMserStatsMSER filter statistics definition
oCvlmxOptionMEX option
oCVlPgmImagePGM image meta data
oCVlQSQuick shift results
oCVlRandRandom numbber generator state
oCVlScaleSpaceGaussian scale space
oCVlScaleSpaceGeometryA set of parameters describing the scale space geometry
oCVlSiftFiltSIFT filter
oCVlSiftKeypointSIFT filter keypoint
oCVlStateVLFeat global state
oCVlSvmDatasetSvm Dataset
oCVlSvmObjectiveBinary Svm Objective Function
oCVlSvmPegasosPegasos Svm Solver
\CVlThreadSpecificStateVLFeat thread state
 
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Data Structures | Macros
array.h File Reference

Array. More...

#include "generic.h"

Data Structures

struct  VlArray
 Numeric array. More...

Macros

#define VL_ARRAY_MAX_NUM_DIMENSIONS   16
 Maximum number of array dimensions.

Functions

Get data and parameters
vl_size vl_array_get_num_dimensions (VlArray const *self)
 Get number of dimensions.
vl_size const * vl_array_get_dimensions (VlArray const *self)
 Get dimensions.
void * vl_array_get_data (VlArray const *self)
 Get data.
vl_type vl_array_get_data_type (VlArray const *self)
 Get type.
vl_size vl_array_get_num_elements (VlArray const *self)
 Get number of elements in array.
Constructing and destroying
VlArray * vl_array_init (VlArray *self, vl_type type, vl_size numDimension, vl_size const *dimensions)
 New numeric array.
VlArray * vl_array_init_envelope (VlArray *self, void *data, vl_type type, vl_size numDimension, vl_size const *dimensions)
 New numeric array envelope.
VlArray * vl_array_init_matrix (VlArray *self, vl_type type, vl_size numRows, vl_size numColumns)
 New numeric array with matrix shape.
VlArray * vl_array_init_matrix_envelope (VlArray *self, void *data, vl_type type, vl_size numRows, vl_size numColumns)
 New numeric array envelpe with matrix shape.
VlArray * vl_array_new (vl_type type, vl_size numDimension, vl_size const *dimensions)
 New numeric array.
VlArray * vl_array_new_envelope (void *data, vl_type type, vl_size numDimension, vl_size const *dimensions)
 New numeric array envelope.
VlArray * vl_array_new_matrix (vl_type type, vl_size numRows, vl_size numColumns)
 New numeric array with matrix shape.
VlArray * vl_array_new_matrix_envelope (void *data, vl_type type, vl_size numRows, vl_size numColumns)
 New numeric array envelpe with matrix shape.
void vl_array_dealloc (VlArray *self)
 Delete array.
void vl_array_delete (VlArray *self)
 Delete array.

Detailed Description

Array - Definition.

Author:
Andrea Vedaldi

Function Documentation

void vl_array_dealloc ( VlArray *  self)
Parameters:
selfarray.
void vl_array_delete ( VlArray *  self)
Parameters:
selfarray.
void* vl_array_get_data ( VlArray const *  self)
inline
Parameters:
selfarray.
Returns:
data.
vl_type vl_array_get_data_type ( VlArray const *  self)
inline
Parameters:
selfarray.
Returns:
type.
vl_size const* vl_array_get_dimensions ( VlArray const *  self)
inline
Parameters:
selfarray.
Returns:
dimensions.
vl_size vl_array_get_num_dimensions ( VlArray const *  self)
inline
Parameters:
selfarray.
Returns:
number of dimensions.
vl_size vl_array_get_num_elements ( VlArray const *  self)
Parameters:
selfarray.
Returns:
number of elements.
VlArray* vl_array_init ( VlArray *  self,
vl_type  type,
vl_size  numDimensions,
vl_size const *  dimensions 
)
Parameters:
selfarray to initialize.
typedata type.
numDimensionsnumber of dimensions.
dimensionsdimensions.

The function initializes the specified array and allocates the necessary memory for storage.

VlArray* vl_array_init_envelope ( VlArray *  self,
void *  data,
vl_type  type,
vl_size  numDimensions,
vl_size const *  dimensions 
)
Parameters:
selfarray to initialize.
datadata to envelople.
typedata type.
numDimensionsnumber of dimensions.
dimensionsdimensions.

The function initializes the specified array wrapping the specified buffer.

VlArray* vl_array_init_matrix ( VlArray *  self,
vl_type  type,
vl_size  numRows,
vl_size  numColumns 
)
Parameters:
selfarray to initialize.
typetype.
numRowsnumber of rows.
numColumnsnumber of columns.
VlArray* vl_array_init_matrix_envelope ( VlArray *  self,
void *  data,
vl_type  type,
vl_size  numRows,
vl_size  numColumns 
)
Parameters:
selfarray to initialize.
datadata to envelope.
typetype.
numRowsnumber of rows.
numColumnsnumber of columns.
VlArray* vl_array_new ( vl_type  type,
vl_size  numDimensions,
vl_size const *  dimensions 
)
Parameters:
typedata type.
numDimensionsnumber of dimensions.
dimensionsdimensions.

The function creates a new VLArray instance and allocates the necessary memory for storage.

VlArray* vl_array_new_envelope ( void *  data,
vl_type  type,
vl_size  numDimensions,
vl_size const *  dimensions 
)
Parameters:
datadata to envelople.
typedata type.
numDimensionsnumber of dimensions.
dimensionsdimensions.
VlArray* vl_array_new_matrix ( vl_type  type,
vl_size  numRows,
vl_size  numColumns 
)
Parameters:
typetype.
numRowsnumber of rows.
numColumnsnumber of columns.
VlArray* vl_array_new_matrix_envelope ( void *  data,
vl_type  type,
vl_size  numRows,
vl_size  numColumns 
)
Parameters:
datadata to envelope.
typetype.
numRowsnumber of rows.
numColumnsnumber of columns.
 
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Documentation - C API
Bug List
Global vl_pgm_read_new (char const *name, VlPgmImage *im, vl_uint8 **data)
Only PGM files with 1 BPP are supported.
Global vl_pgm_read_new_f (char const *name, VlPgmImage *im, float **data)
Only PGM files with 1 BPP are supported.
 
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Bibliographic References
[1]

R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk. SLIC superpixels. Technical report, EPFL, 2010.

[2]

D. Arthur and S. Vassilvitskii. k-means++: The advantages of careful seeding. In Proc. ACM-SIAM Symp. on Discrete Algorithms, 2007.

[3]

J. S. Beis and D. G. Lowe. Shape indexing using approximate nearest-neighbour search in high-dimensional spaces. In Proc. CVPR, 1997.

[4]

N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In Proc. CVPR, 2005.

[5]

C. Elkan. Using the triangle inequality to accelerate k-means. In Proc. ICML, 2003.

[6]

P. F. Felzenszwalb, R. B. Grishick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 2009.

[7]

S. Lloyd. Least square quantization in PCM. IEEE Trans. on Information Theory, 28(2), 1982.

[8]

D. G. Lowe. Object recognition from local scale-invariant features. In Proc. ICCV, 1999.

[9]

A. Martin, G. Doddington, T. Kamm, M. Ordowski, and M. Przybocki. The DET curve in assessment of detection task performance. In Proc. Conf. on Speech Communication and Technology, 1997.

[10]

J. Matas, O. Chum, M. Urban, and T. Pajdla. Robust wide baseline stereo from maximally stable extremal regions. In Proc. BMVC, 2002.

[11]

M. Muja and D. G. Lowe. Fast approximate nearest neighbors with automatic algorithmic configuration. In Proc. VISAPP, 2009.

[12]

S. Shalev-Shwartz, Y. Singer, and N. Srebro. Pegasos: Primal estimated sub-GrAdient SOlver for SVM. In Proc. ICML, 2007.

[13]

C. Silpa-Anan and R. Hartley. Optimised KD-trees for fast image descriptor matching. In Proc. CVPR, 2008.

[14]

N. Slonim and N. Tishby. Agglomerative information bottleneck. In Proc. NIPS, 1999.

[15]

A. Vedaldi and S. Soatto. Quick shift and kernel methods for mode seeking. In Proc. ECCV, 2008.

[16]

A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In Proc. CVPR, 2010.

[17]

A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In PAMI, 2011.

 
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Documentation - C API
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Documentation - C API
Covariant feature detectors

Karel Lenc

Author:
Andrea Vedaldi
Michal Perdoch

covdet.h implements a number of covariant feature detectors, based on three cornerness measures (determinant of the Hessian, trace of the Hessian (aka Difference of Gaussians, and Harris). It supprots affine adaptation, orientation estimation, as well as Laplacian scale detection.

 
vlfeat-0.9.16/doc/api/covdet_8c.html000066400000000000000000002645441203326130700171660ustar00rootroot00000000000000 VLFeat - Documentation - C API
Documentation - C API
Data Structures | Functions
covdet.c File Reference

Covariant feature detectors - Definition. More...

#include "covdet.h"
#include <string.h>

Data Structures

struct  VlCovDet
 Covariant feature detector. More...

Functions

static int _vl_resize_buffer (void **buffer, vl_size *bufferSize, vl_size targetSize)
 Reallocate buffer.
static int _vl_enlarge_buffer (void **buffer, vl_size *bufferSize, vl_size targetSize)
 Enlarge buffer.
vl_size vl_find_local_extrema_3 (vl_index **extrema, vl_size *bufferSize, float const *map, vl_size width, vl_size height, vl_size depth, double threshold)
 Find extrema in 3D function.
vl_size vl_find_local_extrema_2 (vl_index **extrema, vl_size *bufferSize, float const *map, vl_size width, vl_size height, double threshold)
 Find extrema in 3D function.
vl_bool vl_refine_local_extreum_3 (VlCovDetExtremum3 *refined, float const *map, vl_size width, vl_size height, vl_size depth, vl_index x, vl_index y, vl_index z)
 Refine extrema in 3D function.
vl_bool vl_refine_local_extreum_2 (VlCovDetExtremum2 *refined, float const *map, vl_size width, vl_size height, vl_index x, vl_index y)
 Refine extrema in 3D function.
VlCovDet * vl_covdet_new (VlCovDetMethod method)
 Create a new object instance.
void vl_covdet_reset (VlCovDet *self)
 Reset object.
void vl_covdet_delete (VlCovDet *self)
 Delete object instance.
int vl_covdet_append_feature (VlCovDet *self, VlCovDetFeature const *feature)
 Append a feature to the internal buffer.
int vl_covdet_put_image (VlCovDet *self, float const *image, vl_size width, vl_size height)
 Detect features in an image.
static void _vl_det_hessian_response (float *hessian, float const *image, vl_size width, vl_size height, double step, double sigma)
 Scaled derminant of the Hessian filter.
static void _vl_harris_response (float *harris, float const *image, vl_size width, vl_size height, double step, double sigma, double sigmaI, double alpha)
 Scale-normalised Harris response.
static void _vl_dog_response (float *dog, float const *level1, float const *level2, vl_size width, vl_size height)
 Difference of Gaussian.
void vl_covdet_detect (VlCovDet *self)
 Detect scale-space features.
vl_bool vl_covdet_extract_patch_helper (VlCovDet *self, double *sigma1, double *sigma2, float *patch, vl_size resolution, double extent, double sigma, double(A_)[4], double(T_)[2], double d1, double d2)
 Helper for extracting patches.
vl_bool vl_covdet_extract_patch_for_frame (VlCovDet *self, float *patch, vl_size resolution, double extent, double sigma, VlFrameOrientedEllipse frame)
 Helper for extracting patches.
int vl_covdet_extract_affine_shape_for_frame (VlCovDet *self, VlFrameOrientedEllipse *adapted, VlFrameOrientedEllipse frame)
 Extract the affine shape for a feature frame.
void vl_covdet_extract_affine_shape (VlCovDet *self)
 Extract the affine shape for the stored features.
VlCovDetFeatureOrientation * vl_covdet_extract_orientations_for_frame (VlCovDet *self, vl_size *numOrientations, VlFrameOrientedEllipse frame)
 Extract the orientation(s) for a feature frame.
void vl_covdet_extract_orientations (VlCovDet *self)
 Extract the orientation(s) for the stored features.
VlCovDetFeatureLaplacianScale * vl_covdet_extract_laplacian_scales_for_frame (VlCovDet *self, vl_size *numScales, VlFrameOrientedEllipse frame)
 Extract the Laplacian scale(s) for a feature frame.
void vl_covdet_extract_laplacian_scales (VlCovDet *self)
 Extract the Laplacian scales for the stored features.
void vl_covdet_drop_features_outside (VlCovDet *self, double margin)
 Drop features (partially) outside the image.
vl_bool vl_covdet_get_transposed (VlCovDet const *self)
 Get wether images are passed in transposed.
void vl_covdet_set_transposed (VlCovDet *self, vl_bool t)
 Set the index of the first octave.
double vl_covdet_get_edge_threshold (VlCovDet const *self)
 Get the edge threshold.
void vl_covdet_set_edge_threshold (VlCovDet *self, double edgeThreshold)
 Set the edge threshold.
double vl_covdet_get_peak_threshold (VlCovDet const *self)
 Get the peak threshold.
void vl_covdet_set_peak_threshold (VlCovDet *self, double peakThreshold)
 Set the peak threshold.
vl_index vl_covdet_get_first_octave (VlCovDet const *self)
 Get the index of the first octave.
void vl_covdet_set_first_octave (VlCovDet *self, vl_index o)
 Set the index of the first octave.
vl_size vl_covdet_get_octave_resolution (VlCovDet const *self)
 Get the octave resolution.
void vl_covdet_set_octave_resolution (VlCovDet *self, vl_size r)
 Set the octave resolutuon.
vl_bool vl_covdet_get_aa_accurate_smoothing (VlCovDet const *self)
 Get whether affine adaptation uses accurate smoothing.
void vl_covdet_set_aa_accurate_smoothing (VlCovDet *self, vl_bool x)
 Set whether affine adaptation uses accurate smoothing.
double vl_covdet_get_non_extrema_suppression_threshold (VlCovDet const *self)
 Get the non-extrema suppression threshold.
void vl_covdet_set_non_extrema_suppression_threshold (VlCovDet *self, double x)
 Set the non-extrema suppression threshod.
vl_size vl_covdet_get_num_non_extrema_suppressed (VlCovDet const *self)
 Get the number of non-extrema suppressed.
vl_size vl_covdet_get_num_features (VlCovDet const *self)
 Get number of stored frames.
void * vl_covdet_get_features (VlCovDet *self)
 Get the stored frames.
VlScaleSpace * vl_covdet_get_gss (VlCovDet const *self)
 Get the Gaussian scale space.
VlScaleSpace * vl_covdet_get_css (VlCovDet const *self)
 Get the cornerness measure scale space.
vl_size const * vl_covdet_get_laplacian_scales_statistics (VlCovDet const *self, vl_size *numScales)
 Get the number of features found with a certain number of scales.

Detailed Description

Author:
Karel Lenc
Andrea Vedaldi
Michal Perdoch

Function Documentation

static void _vl_det_hessian_response ( float *  hessian,
float const *  image,
vl_size  width,
vl_size  height,
double  step,
double  sigma 
)
static
Parameters:
hessianoutput image.
imageinput image.
widthimage width.
heightimage height.
stepimage sampling step (pixel size).
sigmaGaussian smoothing of the input image.
static void _vl_dog_response ( float *  dog,
float const *  level1,
float const *  level2,
vl_size  width,
vl_size  height 
)
static
Parameters:
dogoutput image.
level1input image at the smaller Gaussian scale.
level2input image at the larger Gaussian scale.
widthimage width.
heightimage height.
static int _vl_enlarge_buffer ( void **  buffer,
vl_size *  bufferSize,
vl_size  targetSize 
)
static
Parameters:
buffer
bufferSize
targetSize
Returns:
error code
static void _vl_harris_response ( float *  harris,
float const *  image,
vl_size  width,
vl_size  height,
double  step,
double  sigma,
double  sigmaI,
double  alpha 
)
static
Parameters:
harrisoutput image.
imageinput image.
widthimage width.
heightimage height.
stepimage sampling step (pixel size).
sigmaGaussian smoothing of the input image.
sigmaIintegration scale.
alphafactor in the definition of the Harris score.
static int _vl_resize_buffer ( void **  buffer,
vl_size *  bufferSize,
vl_size  targetSize 
)
static
Parameters:
buffer
bufferSize
targetSize
Returns:
error code
int vl_covdet_append_feature ( VlCovDet *  self,
VlCovDetFeature const *  feature 
)
Parameters:
selfobject.
featurea pointer to the feature to append.
Returns:
status.

The feature is copied. The function may fail with status equal to VL_ERR_ALLOC if there is insufficient memory.

void vl_covdet_delete ( VlCovDet *  self)
Parameters:
selfobject.
void vl_covdet_detect ( VlCovDet *  self)
Parameters:
method
Returns:
new covariant detector.
void vl_covdet_drop_features_outside ( VlCovDet *  self,
double  margin 
)
Parameters:
selfobject.
margingeometric marging.

The feature extent is defined by maring. A bounding box in the normalised feature frame containin a circle of radius maring is created and mapped to the image by the feature frame transformation. Then the feature is dropped if the bounding box is not contained in the image.

For example, setting margin to zero drops a feature only if its center is not contained.

Typically a valua of margin equal to 1 or 2 is used.

void vl_covdet_extract_affine_shape ( VlCovDet *  self)
Parameters:
selfobject.

This function may discard features for which no affine shape can reliably be detected.

int vl_covdet_extract_affine_shape_for_frame ( VlCovDet *  self,
VlFrameOrientedEllipse *  adapted,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
adaptedthe shape-adapted frame.
framethe input frame.
Returns:
VL_ERR_OK if affine adaptation is successful.

This function may fail if adaptation is unsuccessful or if memory is insufficient.

void vl_covdet_extract_laplacian_scales ( VlCovDet *  self)
Parameters:
selfobject.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

VlCovDetFeatureLaplacianScale* vl_covdet_extract_laplacian_scales_for_frame ( VlCovDet *  self,
vl_size *  numScales,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
numScalesthe number of detected scales.
Returns:
an array of detected scales.

The function returns NULL if memory is insufficient.

void vl_covdet_extract_orientations ( VlCovDet *  self)
Parameters:
selfobject.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

VlCovDetFeatureOrientation* vl_covdet_extract_orientations_for_frame ( VlCovDet *  self,
vl_size *  numOrientations,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
numOrientationsthe number of detected orientations.
Returns:
an array of detected orientations with their scores.

The returned array is a matrix of size $ 2 \times n $ where n is the number of detected orientations.

The function returns NULL if memory is insufficient.

vl_bool vl_covdet_extract_patch_for_frame ( VlCovDet *  self,
float *  patch,
vl_size  resolution,
double  extent,
double  sigma,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
patchbuffer.
resolutionpatch resolution.
extentpatch extent.
sigmadesired smoothing in the patch frame.
framefeature frame.

The function considers a patch of extent [-extent,extent] on each side, with a side counting 2*resolution+1 pixels. In attempts to extract from the scale space a patch baed on the affine warping specified by frame in such a way that the resulting smoothing of the image is sigma (in the patch frame).

The transformation is specified by the matrices A and T embedded in the feature frame. Note that this transformation maps pixels from the patch frame to the image frame.

vl_bool vl_covdet_extract_patch_helper ( VlCovDet *  self,
double *  sigma1,
double *  sigma2,
float *  patch,
vl_size  resolution,
double  extent,
double  sigma,
double(A_)  [4],
double(T_)  [2],
double  d1,
double  d2 
)
Parameters:
selfobject.
sigma1actual patch smoothing along the first axis (out).
sigma2actual patch smoothing along the second axis (out).
patchbuffer.
resolutionpatch resolution.
extentpatch extent.
sigmadesired smoothing in the patch frame.
Alinear transfomration from patch to image.
Ttranslation from patch to image.
d1first singular value A.
d2second singular value of A.
vl_bool vl_covdet_get_aa_accurate_smoothing ( VlCovDet const *  self)
Parameters:
selfobject.
Returns:
true if accurate smoothing is used.
VlScaleSpace* vl_covdet_get_css ( VlCovDet const *  self)
Returns:
cornerness measure scale space.

A cornerness measure scale space exists only after calling vl_covdet_detect. Otherwise the function returns NULL.

double vl_covdet_get_edge_threshold ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
the edge threshold.
void* vl_covdet_get_features ( VlCovDet *  self)
Returns:
frames stored in the detector.
vl_index vl_covdet_get_first_octave ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
index of the first octave.
VlScaleSpace* vl_covdet_get_gss ( VlCovDet const *  self)
Returns:
Gaussian scale space.

A Gaussian scale space exists only after calling vl_covdet_put_image. Otherwise the function returns NULL.

vl_size const* vl_covdet_get_laplacian_scales_statistics ( VlCovDet const *  self,
vl_size *  numScales 
)
Parameters:
sellfobject.
numScaleslength of the histogram (out).
Returns:
histogram.

Calling this function makes sense only after running a detector that uses the Laplacian as a secondary measure for scale detection

double vl_covdet_get_non_extrema_suppression_threshold ( VlCovDet const *  self)
Parameters:
selfobject.
Returns:
threshold.
vl_size vl_covdet_get_num_features ( VlCovDet const *  self)
Returns:
number of frames stored in the detector.
vl_size vl_covdet_get_num_non_extrema_suppressed ( VlCovDet const *  self)
Parameters:
selfobject.
Returns:
number.
vl_size vl_covdet_get_octave_resolution ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
octave resolution.
double vl_covdet_get_peak_threshold ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
the peak threshold.
vl_bool vl_covdet_get_transposed ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
whether images are transposed.
VlCovDet* vl_covdet_new ( VlCovDetMethod  method)
Parameters:
methodmethod for covariant feature detection.
Returns:
new covariant detector.
int vl_covdet_put_image ( VlCovDet *  self,
float const *  image,
vl_size  width,
vl_size  height 
)
Parameters:
selfobject.
imageimage to process.
widthimage width.
heightimage height.
Returns:
status.

The function may fail with VL_ERR_ALLOC if memory is insufficient.

void vl_covdet_reset ( VlCovDet *  self)
Parameters:
selfobject.

This function removes any buffered features and frees other internal buffers.

void vl_covdet_set_aa_accurate_smoothing ( VlCovDet *  self,
vl_bool  x 
)
Parameters:
selfobject.
xwhether accurate smoothing should be usd.
void vl_covdet_set_edge_threshold ( VlCovDet *  self,
double  edgeThreshold 
)
Parameters:
self::VlCovDet object.
theedge threshold.

The edge threshold must be non-negative.

void vl_covdet_set_first_octave ( VlCovDet *  self,
vl_index  o 
)
Parameters:
self::VlCovDet object.
indexof the first octave.

Calling this function resets the detector.

void vl_covdet_set_non_extrema_suppression_threshold ( VlCovDet *  self,
double  x 
)
Parameters:
selfobject.
xthreshold.
void vl_covdet_set_octave_resolution ( VlCovDet *  self,
vl_size  r 
)
Parameters:
self::VlCovDet object.
octaveresoltuion.

Calling this function resets the detector.

void vl_covdet_set_peak_threshold ( VlCovDet *  self,
double  peakThreshold 
)
Parameters:
self::VlCovDet object.
thepeak threshold.

The peak threshold must be non-negative.

void vl_covdet_set_transposed ( VlCovDet *  self,
vl_bool  t 
)
Parameters:
self::VlCovDet object.
twhether images are transposed.
vl_size vl_find_local_extrema_2 ( vl_index **  extrema,
vl_size *  bufferSize,
float const *  map,
vl_size  width,
vl_size  height,
double  threshold 
)
Parameters:
extrema
bufferSize
mapa 3D array representing the map.
widthof the map.
heightof the map.
deepthof the map.
thresholdminumum extremum value.
Returns:
number of extrema found.
vl_size vl_find_local_extrema_3 ( vl_index **  extrema,
vl_size *  bufferSize,
float const *  map,
vl_size  width,
vl_size  height,
vl_size  depth,
double  threshold 
)
Parameters:
extrema
bufferSize
mapa 3D array representing the map.
widthof the map.
heightof the map.
deepthof the map.
thresholdminumum extremum value.
Returns:
number of extrema found.
vl_bool vl_refine_local_extreum_2 ( VlCovDetExtremum2 *  refined,
float const *  map,
vl_size  width,
vl_size  height,
vl_index  x,
vl_index  y 
)
Parameters:
refinedrefined extrema.
mapa 3D array representing the map.
widthof the map.
heightof the map.
deepthof the map.
x
y
z
Returns:
extrema refinement was stable.
vl_bool vl_refine_local_extreum_3 ( VlCovDetExtremum3 *  refined,
float const *  map,
vl_size  width,
vl_size  height,
vl_size  depth,
vl_index  x,
vl_index  y,
vl_index  z 
)
Parameters:
refinedrefined extrema.
mapa 3D array representing the map.
widthof the map.
heightof the map.
deepthof the map.
x
y
z
Returns:
extrema refinement was stable.
 
vlfeat-0.9.16/doc/api/covdet_8h.html000066400000000000000000002105261203326130700171620ustar00rootroot00000000000000 VLFeat - Documentation - C API
Documentation - C API
Data Structures
covdet.h File Reference

Covariant feature detectors (Covariant feature detectors) More...

#include "generic.h"
#include "stringop.h"
#include "scalespace.h"
#include <stdio.h>

Data Structures

struct  VlFrameDisc
 Disc feature frame. More...
struct  VlFrameOrientedDisc
 Oriented disc feature frame An upright frame has angle equal to zero. More...
struct  VlFrameEllipse
 Ellipse feature frame. More...
struct  VlFrameOrientedEllipse
 Oriented ellipse feature frame The affine transformation transforms the ellipse shape into a circular region. More...
struct  VlCovDetFeature
 A detected feature. More...

Functions

Create and destroy
VlCovDet * vl_covdet_new (VlCovDetMethod method)
 Create a new object instance.
void vl_covdet_delete (VlCovDet *self)
 Delete object instance.
void vl_covdet_reset (VlCovDet *self)
 Reset object.
Process data
int vl_covdet_put_image (VlCovDet *self, float const *image, vl_size width, vl_size height)
 Detect features in an image.
void vl_covdet_detect (VlCovDet *self)
 Detect scale-space features.
int vl_covdet_append_feature (VlCovDet *self, VlCovDetFeature const *feature)
 Append a feature to the internal buffer.
void vl_covdet_extract_orientations (VlCovDet *self)
 Extract the orientation(s) for the stored features.
void vl_covdet_extract_laplacian_scales (VlCovDet *self)
 Extract the Laplacian scales for the stored features.
void vl_covdet_extract_affine_shape (VlCovDet *self)
 Extract the affine shape for the stored features.
VlCovDetFeatureOrientation * vl_covdet_extract_orientations_for_frame (VlCovDet *self, vl_size *numOrientations, VlFrameOrientedEllipse frame)
 Extract the orientation(s) for a feature frame.
VlCovDetFeatureLaplacianScale * vl_covdet_extract_laplacian_scales_for_frame (VlCovDet *self, vl_size *numScales, VlFrameOrientedEllipse frame)
 Extract the Laplacian scale(s) for a feature frame.
int vl_covdet_extract_affine_shape_for_frame (VlCovDet *self, VlFrameOrientedEllipse *adapted, VlFrameOrientedEllipse frame)
 Extract the affine shape for a feature frame.
vl_bool vl_covdet_extract_patch_for_frame (VlCovDet *self, float *patch, vl_size resolution, double extent, double sigma, VlFrameOrientedEllipse frame)
 Helper for extracting patches.
void vl_covdet_drop_features_outside (VlCovDet *self, double margin)
 Drop features (partially) outside the image.
Retrieve data and parameters
vl_size vl_covdet_get_num_features (VlCovDet const *self)
 Get number of stored frames.
void * vl_covdet_get_features (VlCovDet *self)
 Get the stored frames.
vl_index vl_covdet_get_first_octave (VlCovDet const *self)
 Get the index of the first octave.
vl_size vl_covdet_get_octave_resolution (VlCovDet const *self)
 Get the octave resolution.
double vl_covdet_get_peak_threshold (VlCovDet const *self)
 Get the peak threshold.
double vl_covdet_get_edge_threshold (VlCovDet const *self)
 Get the edge threshold.
vl_bool vl_covdet_get_transposed (VlCovDet const *self)
 Get wether images are passed in transposed.
VlScaleSpace * vl_covdet_get_gss (VlCovDet const *self)
 Get the Gaussian scale space.
VlScaleSpace * vl_covdet_get_css (VlCovDet const *self)
 Get the cornerness measure scale space.
vl_bool vl_covdet_get_aa_accurate_smoothing (VlCovDet const *self)
 Get whether affine adaptation uses accurate smoothing.
vl_size const * vl_covdet_get_laplacian_scales_statistics (VlCovDet const *self, vl_size *numScales)
 Get the number of features found with a certain number of scales.
double vl_covdet_get_non_extrema_suppression_threshold (VlCovDet const *self)
 Get the non-extrema suppression threshold.
vl_size vl_covdet_get_num_non_extrema_suppressed (VlCovDet const *self)
 Get the number of non-extrema suppressed.
Set parameters
void vl_covdet_set_first_octave (VlCovDet *self, vl_index o)
 Set the index of the first octave.
void vl_covdet_set_octave_resolution (VlCovDet *self, vl_size r)
 Set the octave resolutuon.
void vl_covdet_set_peak_threshold (VlCovDet *self, double peakThreshold)
 Set the peak threshold.
void vl_covdet_set_edge_threshold (VlCovDet *self, double edgeThreshold)
 Set the edge threshold.
void vl_covdet_set_transposed (VlCovDet *self, vl_bool t)
 Set the index of the first octave.
void vl_covdet_set_aa_accurate_smoothing (VlCovDet *self, vl_bool x)
 Set whether affine adaptation uses accurate smoothing.
void vl_covdet_set_non_extrema_suppression_threshold (VlCovDet *self, double x)
 Set the non-extrema suppression threshod.

Feature frames

enum  VlFrameType { VL_FRAMETYPE_DISC = 1, VL_FRAMETYPE_ORIENTED_DISC, VL_FRAMETYPE_ELLIPSE, VL_FRAMETYPE_ORIENTED_ELLIPSE }
 Types of feature frames. More...
enum  VlCovDetMethod
 Covariant feature detection method.
const char * vlFrameNames [VL_FRAMETYPE_NUM]
 Names of the frame types.
VlEnumerator vlFrameTypes [VL_FRAMETYPE_NUM]
 Mapping between string values and VlFrameType values.
VlEnumerator vlCovdetMethods [VL_COVDET_METHOD_NUM]
 Mapping between strings and VlCovDetMethod values.
vl_size vl_get_frame_size (VlFrameType frameType)
 Get the size of a frame structure.
VlFrameType vl_get_frame_type (vl_bool affineAdaptation, vl_bool orientation)
 Get the size of a frame structure.

Detailed Description

Author:
Karel Lenc
Andrea Vedaldi
Michal Perdoch

Enumeration Type Documentation

enum VlFrameType
Enumerator:
VL_FRAMETYPE_DISC 

A disc.

VL_FRAMETYPE_ORIENTED_DISC 

An oriented disc.

VL_FRAMETYPE_ELLIPSE 

An ellipse.

VL_FRAMETYPE_ORIENTED_ELLIPSE 

An oriented ellipse.

Function Documentation

int vl_covdet_append_feature ( VlCovDet *  self,
VlCovDetFeature const *  feature 
)
Parameters:
selfobject.
featurea pointer to the feature to append.
Returns:
status.

The feature is copied. The function may fail with status equal to VL_ERR_ALLOC if there is insufficient memory.

void vl_covdet_delete ( VlCovDet *  self)
Parameters:
selfobject.
void vl_covdet_detect ( VlCovDet *  self)
Parameters:
method
Returns:
new covariant detector.
void vl_covdet_drop_features_outside ( VlCovDet *  self,
double  margin 
)
Parameters:
selfobject.
margingeometric marging.

The feature extent is defined by maring. A bounding box in the normalised feature frame containin a circle of radius maring is created and mapped to the image by the feature frame transformation. Then the feature is dropped if the bounding box is not contained in the image.

For example, setting margin to zero drops a feature only if its center is not contained.

Typically a valua of margin equal to 1 or 2 is used.

void vl_covdet_extract_affine_shape ( VlCovDet *  self)
Parameters:
selfobject.

This function may discard features for which no affine shape can reliably be detected.

int vl_covdet_extract_affine_shape_for_frame ( VlCovDet *  self,
VlFrameOrientedEllipse *  adapted,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
adaptedthe shape-adapted frame.
framethe input frame.
Returns:
VL_ERR_OK if affine adaptation is successful.

This function may fail if adaptation is unsuccessful or if memory is insufficient.

void vl_covdet_extract_laplacian_scales ( VlCovDet *  self)
Parameters:
selfobject.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

VlCovDetFeatureLaplacianScale* vl_covdet_extract_laplacian_scales_for_frame ( VlCovDet *  self,
vl_size *  numScales,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
numScalesthe number of detected scales.
Returns:
an array of detected scales.

The function returns NULL if memory is insufficient.

void vl_covdet_extract_orientations ( VlCovDet *  self)
Parameters:
selfobject.

Note that, since more than one orientation can be detected for each feature, this function may create copies of them, one for each orientation.

VlCovDetFeatureOrientation* vl_covdet_extract_orientations_for_frame ( VlCovDet *  self,
vl_size *  numOrientations,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
numOrientationsthe number of detected orientations.
Returns:
an array of detected orientations with their scores.

The returned array is a matrix of size $ 2 \times n $ where n is the number of detected orientations.

The function returns NULL if memory is insufficient.

vl_bool vl_covdet_extract_patch_for_frame ( VlCovDet *  self,
float *  patch,
vl_size  resolution,
double  extent,
double  sigma,
VlFrameOrientedEllipse  frame 
)
Parameters:
selfobject.
patchbuffer.
resolutionpatch resolution.
extentpatch extent.
sigmadesired smoothing in the patch frame.
framefeature frame.

The function considers a patch of extent [-extent,extent] on each side, with a side counting 2*resolution+1 pixels. In attempts to extract from the scale space a patch baed on the affine warping specified by frame in such a way that the resulting smoothing of the image is sigma (in the patch frame).

The transformation is specified by the matrices A and T embedded in the feature frame. Note that this transformation maps pixels from the patch frame to the image frame.

vl_bool vl_covdet_get_aa_accurate_smoothing ( VlCovDet const *  self)
Parameters:
selfobject.
Returns:
true if accurate smoothing is used.
VlScaleSpace* vl_covdet_get_css ( VlCovDet const *  self)
Returns:
cornerness measure scale space.

A cornerness measure scale space exists only after calling vl_covdet_detect. Otherwise the function returns NULL.

double vl_covdet_get_edge_threshold ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
the edge threshold.
void* vl_covdet_get_features ( VlCovDet *  self)
Returns:
frames stored in the detector.
vl_index vl_covdet_get_first_octave ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
index of the first octave.
VlScaleSpace* vl_covdet_get_gss ( VlCovDet const *  self)
Returns:
Gaussian scale space.

A Gaussian scale space exists only after calling vl_covdet_put_image. Otherwise the function returns NULL.

vl_size const* vl_covdet_get_laplacian_scales_statistics ( VlCovDet const *  self,
vl_size *  numScales 
)
Parameters:
sellfobject.
numScaleslength of the histogram (out).
Returns:
histogram.

Calling this function makes sense only after running a detector that uses the Laplacian as a secondary measure for scale detection

double vl_covdet_get_non_extrema_suppression_threshold ( VlCovDet const *  self)
Parameters:
selfobject.
Returns:
threshold.
vl_size vl_covdet_get_num_features ( VlCovDet const *  self)
Returns:
number of frames stored in the detector.
vl_size vl_covdet_get_num_non_extrema_suppressed ( VlCovDet const *  self)
Parameters:
selfobject.
Returns:
number.
vl_size vl_covdet_get_octave_resolution ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
octave resolution.
double vl_covdet_get_peak_threshold ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
the peak threshold.
vl_bool vl_covdet_get_transposed ( VlCovDet const *  self)
Parameters:
self::VlCovDet object.
Returns:
whether images are transposed.
VlCovDet* vl_covdet_new ( VlCovDetMethod  method)
Parameters:
methodmethod for covariant feature detection.
Returns:
new covariant detector.
int vl_covdet_put_image ( VlCovDet *  self,
float const *  image,
vl_size  width,
vl_size  height 
)
Parameters:
selfobject.
imageimage to process.
widthimage width.
heightimage height.
Returns:
status.

The function may fail with VL_ERR_ALLOC if memory is insufficient.

void vl_covdet_reset ( VlCovDet *  self)
Parameters:
selfobject.

This function removes any buffered features and frees other internal buffers.

void vl_covdet_set_aa_accurate_smoothing ( VlCovDet *  self,
vl_bool  x 
)
Parameters:
selfobject.
xwhether accurate smoothing should be usd.
void vl_covdet_set_edge_threshold ( VlCovDet *  self,
double  edgeThreshold 
)
Parameters:
self::VlCovDet object.
theedge threshold.

The edge threshold must be non-negative.

void vl_covdet_set_first_octave ( VlCovDet *  self,
vl_index  o 
)
Parameters:
self::VlCovDet object.
indexof the first octave.

Calling this function resets the detector.

void vl_covdet_set_non_extrema_suppression_threshold ( VlCovDet *  self,
double  x 
)
Parameters:
selfobject.
xthreshold.
void vl_covdet_set_octave_resolution ( VlCovDet *  self,
vl_size  r 
)
Parameters:
self::VlCovDet object.
octaveresoltuion.

Calling this function resets the detector.

void vl_covdet_set_peak_threshold ( VlCovDet *  self,
double  peakThreshold 
)
Parameters:
self::VlCovDet object.
thepeak threshold.

The peak threshold must be non-negative.

void vl_covdet_set_transposed ( VlCovDet *  self,
vl_bool  t 
)
Parameters:
self::VlCovDet object.
twhether images are transposed.
vl_size vl_get_frame_size ( VlFrameType  frameType)
inline
Parameters:
frameTypeidentifier of the type of frame.
Returns:
size of the corresponding frame structure in bytes.
VlFrameType vl_get_frame_type ( vl_bool  affineAdaptation,
vl_bool  orientation 
)
inline
Parameters:
frameTypeidentifier of the type of frame.
Returns:
size of the corresponding frame structure in bytes.
 
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Documentation - C API
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Documentation - C API
VLFeat design concepts

VLFeat is designed to be portable and simple to integrate with high level languages such as MATLAB. This section illustrates and motivates the aspects of the design that are relevant to the users of the library.

Memory and resource handling

Some VLFeat functions return pointers to memory blocks or objects. Only vl_malloc, vl_calloc, vl_realloc, or functions whose name contains either the keywords new or copy, transfer the ownership of the memory block or object to the caller. The caller must dispose explicitly of all the resources he owns (by calling vl_free for a memory block, or the appropriate destructor for an object).

The memory allocation functions can be customized by vl_set_alloc_func (which sets the implementations of vl_malloc, vl_realloc, vl_calloc and vl_free). Remapping the memory allocation functions can be done only if there are no currently allocated VLFeat memory blocks or objects. The memory allocation functions are common to all threads.

VLFeat uses three rules that simplify handling exceptions:

  • The only resource referenced by VLFeat objects is memory (for instance, it is illegal for an object to reference an open file). Other resources such as files or threads may be allocated within a VLFeat function call, but they are all released before the function ends, or their ownership is directly transferred to the caller.
  • The global library state is an exception. It cannot reference any local object created by the caller and uses the standard C memory allocation functions.

In this way, the VLFeat local state can be reset at any time simply by disposing of all the memory allocated so far. The latter can be done easily by mapping the memory allocation functions to implementations that track the memory blocks allocated, and simply disposing of all such blocks. Since the global state does not reference any local object nor uses the remapped memory functions, it is unaffected by such an operation; conversely, since no VLFeat object references anything but memory, this guarantees that all allocated resources are properly disposed (no leaks). This is used extensively in the design of MATLAB MEX files (see MATLAB integration issues).

Objects

Many VLFeat algorithms are availale in the form of “objects”. Notice that the C language, used by VLFeat, does not support objects explicitly. Here an object indicates an opaque data structure along with a number of functions (methods) operationg on it.

Object names are captilaised and start with the Vl prefix (for example VlSiftFilt). Object methods are lowercase and start with the vl_<object_name>_ suffix (e.g. vl_sift_new). Object methods typraically include a constructor (e.g. vl_sift_new), a destructor (vl_sift_delete), some getter methods (vl_sift_get_octave_index), and some setter methods (vl_sift_set_magnif).

Multi-threading

VLFeat can be used with multiple threads by treating appropriately different kinds of operations:

  • Local operations (reentrancy). Most VLFeat operations are reentrant, in the sense that they operate on local data. It is safe to execute such operations concurrently from multiple threads as long as each thread operates on an independent sets of objects or memory blocks. By contrast, operating on the same object or memory block from multiple threads requires proper synchronization by the user.
  • Task-specific operations. A few operations are intrinsically non-reentrant but thread-specific. These include: retrieving the last error by vl_get_last_error and obtaining the thread-specific random number generator by vl_get_rand. VLFeat makes such operations thread-safe by operating on task-specific data.
  • Global operations. A small number of operations are non-reentrant and affect all threads simultaneously. These are restricted to changing certain global configuration parameters, such as the memory allocation functions by vl_set_alloc_func. These operations are not thread safe and should be executed before multiple threads are started.

Some VLFeat algorithms are randomised. Each thread has his own random number generator (an instance of VlRand) accessed by vl_get_rand. To make calculations reproducible the random number generator must be seeded appropriately in each thread. Notice also that using the same VLFeat object from multiple threads (with appropriate synchronization) will cause multiple random number generators to be intermixed.

Portability features

Platform dependent details are isolated in the host.h library module. These include:

VLFeat uses processor specific features (e.g. Intel SSE) if those are available at run time.

MATLAB integration issues

The VLFeat C library is designed to integrate seamlessly with MATLAB. Binary compatibility is simplified by the use of the C language (rather than C++). In addition, the library design follows certain restrictons that make it compatible with the MATLAB MEX interface.

The main issue in calling a library function from a MATLAB MEX function is that MATLAB can abort the execution of the MEX function at any point, either due to an error, or directly upon a user request (Ctrl-C) (empirically, however, a MEX function seems to be interruptible only during the invocation of certain functions of the MEX API such as mexErrMsgTxt).

When a MEX function is interrupted, resources (memory blocks or objects) whose ownership was transferred from VLFeat to the MEX function may be leaked. Notice that interrupting a MEX function would similarly leak any memory block allocated within the MEX function. To solve this issue, MATLAB provides his own memory manager (mxMalloc, mxRealloc, ...). When a MEX file is interrupted or ends, all memory blocks allocated by using one of such functions are released, preventing leakage.

In order to integrate VLFeat with this model in the most seamless way, VLFeat memory allocation functions (vl_malloc, vl_realloc, vl_calloc) are mapped to the corresponding MEX memory allocation functions. Such functions automatically dispose of all the memory allocated by a MEX function when the function ends (even because of an exception). Because of the restrictions of the library design illustrated in Memory and resource handling, this operation is safe and correctly dispose of VLFeat local state. As a consequence, it is possible to call mexErrMsgTxt at any point in the MEX function without worring about leaking resources.

This however comes at the price of some limitations. Beyond the restrictions illustred in Memory and resource handling, here we note that no VLFeat local resoruce (memory blocks or objects) can persist across MEX file invocations. This implies that any result produced by a VLFeat MEX function must be converted back to a MATLAB object such as a vector or a structure. In particular, there is no direct way of creating an object within a MEX file, returning it to MATLAB, and passing it again to another MEX file.

Preprocessor metaprogramming

Part of VLFeat code uses a simple form of perprocessor metaprogramming. This technique is used, similarly to C++ templates, to instantiate multiple version of a given algorithm for different data types (e.g. float and double).

In most cases preprocessor metaprogramming is invisible to the library user, as it is used only internally.

 
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Documentation - C API
Developing the library

Documenting the code

  • Develop a sensibility for good-looking code. The coding style should be as uniform as possible throughoug the library. The style is specified by this set of rules. However, the quality of the code can only be guaranteed by a reasonable application of the rules and combined with one's eye for good code.

  • No whitespaces at the end of lines. Whitespaces introduce invisible changes in the code that are however picked up by control version systems such as Git.

  • Descriptive variable names. Most variable names start with a lower case letter and are capitalized, e.g., numElements. Only the following abbreviations are considered acceptable: num. The dimension of a vector is the number of elements it contains (for other objects that could be a size, a length, or a numElements). For multi-dimensional arrays, dimensions could indicate the array with each of the numDimensions dimensions.

  • Short variable names. For indexes in short for loops it is fine to use short index names such as i, j, and k. For example:

    for (i = 0 ; i < numEntries ; ++i) values[i] ++ ;

    is considered acceptable.

Documenting the code

The VLFeat C library code contains its own in documentation Doxygen format. The documentation consists in generic pages, such as the index and the page you are reading, and documentations for each specifid library module, usually corresponding to a certain heaader file.

Documenting the library modules

A library module groups a number of data types and functions that implement a certain functionaltiy of VLFeat. Consider a module called Example Module. Then one would typically have:

  • A header or declaration file example-module.h. Such a file has an heading of the type:

    This comment block contains a file directive, causing the file to be included in the documentation, a brief directive, specifying a short description of what the file is, and a list of authors. A (non-Doxygen) comment block with a short the copyright notice follows. The brief directive should include a @ref directive to point to the main documentation page describing the module, if there is one. 
    

    

    • 

  • 

    An implementation or definition file example-module.c. This file has an heading of the type:
    

    This is similar to the declearation file, except for the content of the brief comment.  
    

    • 




Documenting the library functions



Bibliographic references


Since version 0.9.14, the VLFeat C library documentation makes use of a proper bibliographic reference in BibTeX format (see the file docsrc/vlfeat.bib). Doxygen uses this file when it sees instances of the @cite xyz  command. Here xyz is a BibTeX key. For example, vlfeat.bib file contains the entry:


@inproceedings{martin97the-det-curve,
  Author = {A. Martin and G. Doddington and T. Kamm and M. Ordowski and M. Przybocki},
  Booktitle = {Proc. Conf. on Speech Communication and Technology},
  Title = {The {DET} curve in assessment of detection task performance},
  Year = {1997}}

For example, the Doxygen directive @cite martin97the-det-curve  generates the output [9] , which is a link to the corresponding entry in the bibliography. 



     
    

   

   
 

  
 
   
 
 

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vl Directory Reference
  









Files


file  aib.c


 AIB - Definition. 


file  aib.h


 AIB (Agglomerative Information Bottleneck (AIB)) 


file  array.c


file  array.h


 Array. 


file  covdet.c


 Covariant feature detectors - Definition. 


file  covdet.h


 Covariant feature detectors (Covariant feature detectors) 


file  dsift.c


 Dense SIFT - Definition. 


file  dsift.h


 Dense SIFT (Dense Scale Invariant Feature Transform (DSIFT)) 


file  generic.c


 Generic - Definition. 


file  generic.h


 Generic (Preprocssor, library state, etc.) 


file  getopt_long.c


 getopt_long - Definition 


file  getopt_long.h


 getopt_long 


file  heap-def.h


 Heap preprocessor metaprogram. 


file  hikmeans.c


 Hierarchical Integer K-Means Clustering - Declaration. 


file  hikmeans.h


 Hierarchical integer K-Means clustering. 


file  hog.c


 Histogram of Oriented Gradients (HOG) - Definition. 


file  hog.h


 Histogram of Oriented Gradients (Histogram of Oriented Gradients (HOG) features) 


file  homkermap.c


 Homogeneous kernel map - Definition. 


file  homkermap.h


 Homogeneous kernel map (Homogeneous kernel map) 


file  host.c


 Host - Definition. 


file  host.h


 Host. 


file  ikmeans.c


 Integer K-Means clustering - Definition. 


file  ikmeans.h


 Integer K-Means clustering. 


file  ikmeans_elkan.tc


 Integer K-Means - Elkan Algorithm - Definition. 


file  ikmeans_init.tc


 Integer K-Means - Initialization - Definition. 


file  ikmeans_lloyd.tc


 Integer K-Means - LLoyd Algorithm - Definition. 


file  imopv.c


 Vectorized image operations - Definition. 


file  imopv.h


 Vectorized image operations. 


file  imopv_sse2.c


 Vectorized image operations - SSE2 - Definition. 


file  imopv_sse2.h


 Vectorized image operations - SSE2. 


file  kdtree.c


 KD-tree - Definition. 


file  kdtree.h


 KD-tree (KD-trees and forests) 


file  kmeans.c


 K-means - Declaration. 


file  kmeans.h


 K-means (K-means clustering) 


file  lbp.c


 Local Binary Patterns - Definition. 


file  lbp.h


 Local Binary Patterns. 


file  mathop.c


 Math operations - Definition. 


file  mathop.h


 Math operations. 


file  mathop_sse2.c


 mathop for SSE2 - Definition 


file  mathop_sse2.h


 mathop for sse2 


file  mser.c


 MSER - Definition. 


file  mser.h


 MSER (Maximally Stable Extremal Regions) 


file  pegasos.c


 PEGASOS - Definition. 


file  pegasos.h


 PEGASOS (PEGASOS SVM solver) 


file  pgm.c


 Portable graymap format (PGM) parser - Definition. 


file  pgm.h


 Portable graymap format (PGM) parser. 


file  qsort-def.h


 QSort preprocessor metaprogram. 


file  quickshift.c


 Quick shift - Definition. 


file  quickshift.h


 Quick shift (Quick shift image segmentation) 


file  random.c


 Random number generator - Definition. 


file  random.h


 Random number generator. 


file  rodrigues.c


file  rodrigues.h


file  scalespace.c


 Scale Space - Definition. 


file  scalespace.h


 Scale Space (Gaussian Scale Space) 


file  shuffle-def.h


 Shuffle preprocessor metaprogram. 


file  sift.c


 SIFT - Definition. 


file  sift.h


 SIFT (Scale Invariant Feature Transform (SIFT)) 


file  slic.c


 SLIC superpixels - Definition. 


file  slic.h


 SLIC superpixels (Simple Linear Iterative Clustering (SLIC)) 


file  stringop.c


 String operations - Definition. 


file  stringop.h


 String operations. 


file  svmdataset.c


 Svm Dataset - Definition. 


file  svmdataset.h


 SVM Dataset. 





     
    

   

   
 

  
 
   
 
 

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        color: #ffffff;
}

a.el {
	font-weight: bold;
}

a.elRef {
}

a.code, a.code:visited {
	color: #4665A2; 
}

a.codeRef, a.codeRef:visited {
	color: #4665A2; 
}

/* @end */

dl.el {
	margin-left: -1cm;
}

pre.fragment {
        border: 1px solid #C4CFE5;
        background-color: #FBFCFD;
        padding: 4px 6px;
        margin: 4px 8px 4px 2px;
        overflow: auto;
        word-wrap: break-word;
        font-size:  9pt;
        line-height: 125%;
        font-family: monospace, fixed;
        font-size: 105%;
}

div.fragment {
        padding: 4px;
        margin: 4px;
	background-color: #FBFCFD;
	border: 1px solid #C4CFE5;
}

div.line {
	font-family: monospace, fixed;
        font-size: 13px;
	min-height: 13px;
	line-height: 1.0;
	text-wrap: unrestricted;
	white-space: -moz-pre-wrap; /* Moz */
	white-space: -pre-wrap;     /* Opera 4-6 */
	white-space: -o-pre-wrap;   /* Opera 7 */
	white-space: pre-wrap;      /* CSS3  */
	word-wrap: break-word;      /* IE 5.5+ */
	text-indent: -53px;
	padding-left: 53px;
	padding-bottom: 0px;
	margin: 0px;
	-webkit-transition-property: background-color, box-shadow;
	-webkit-transition-duration: 0.5s;
	-moz-transition-property: background-color, box-shadow;
	-moz-transition-duration: 0.5s;
	-ms-transition-property: background-color, box-shadow;
	-ms-transition-duration: 0.5s;
	-o-transition-property: background-color, box-shadow;
	-o-transition-duration: 0.5s;
	transition-property: background-color, box-shadow;
	transition-duration: 0.5s;
}

div.line.glow {
	background-color: cyan;
	box-shadow: 0 0 10px cyan;
}


span.lineno {
	padding-right: 4px;
	text-align: right;
	border-right: 2px solid #0F0;
	background-color: #E8E8E8;
        white-space: pre;
}
span.lineno a {
	background-color: #D8D8D8;
}

span.lineno a:hover {
	background-color: #C8C8C8;
}

div.ah {
	background-color: black;
	font-weight: bold;
	color: #ffffff;
	margin-bottom: 3px;
	margin-top: 3px;
	padding: 0.2em;
	border: solid thin #333;
	border-radius: 0.5em;
	-webkit-border-radius: .5em;
	-moz-border-radius: .5em;
	box-shadow: 2px 2px 3px #999;
	-webkit-box-shadow: 2px 2px 3px #999;
	-moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px;
	background-image: -webkit-gradient(linear, left top, left bottom, from(#eee), to(#000),color-stop(0.3, #444));
	background-image: -moz-linear-gradient(center top, #eee 0%, #444 40%, #000);
}

div.groupHeader {
	margin-left: 16px;
	margin-top: 12px;
	font-weight: bold;
}

div.groupText {
	margin-left: 16px;
	font-style: italic;
}

body {
	background-color: white;
	color: black;
        margin: 0;
}

div.contents {
	margin-top: 10px;
	margin-left: 12px;
	margin-right: 8px;
}

td.indexkey {
	background-color: #EBEFF6;
	font-weight: bold;
	border: 1px solid #C4CFE5;
	margin: 2px 0px 2px 0;
	padding: 2px 10px;
        white-space: nowrap;
        vertical-align: top;
}

td.indexvalue {
	background-color: #EBEFF6;
	border: 1px solid #C4CFE5;
	padding: 2px 10px;
	margin: 2px 0px;
}

tr.memlist {
	background-color: #EEF1F7;
}

p.formulaDsp {
	text-align: center;
}

img.formulaDsp {
	
}

img.formulaInl {
	vertical-align: middle;
}

div.center {
	text-align: center;
        margin-top: 0px;
        margin-bottom: 0px;
        padding: 0px;
}

div.center img {
	border: 0px;
}

address.footer {
	text-align: right;
	padding-right: 12px;
}

img.footer {
	border: 0px;
	vertical-align: middle;
}

/* @group Code Colorization */

span.keyword {
	color: #008000
}

span.keywordtype {
	color: #604020
}

span.keywordflow {
	color: #e08000
}

span.comment {
	color: #800000
}

span.preprocessor {
	color: #806020
}

span.stringliteral {
	color: #002080
}

span.charliteral {
	color: #008080
}

span.vhdldigit { 
	color: #ff00ff 
}

span.vhdlchar { 
	color: #000000 
}

span.vhdlkeyword { 
	color: #700070 
}

span.vhdllogic { 
	color: #ff0000 
}

blockquote {
        background-color: #F7F8FB;
        border-left: 2px solid #9CAFD4;
        margin: 0 24px 0 4px;
        padding: 0 12px 0 16px;
}

/* @end */

/*
.search {
	color: #003399;
	font-weight: bold;
}

form.search {
	margin-bottom: 0px;
	margin-top: 0px;
}

input.search {
	font-size: 75%;
	color: #000080;
	font-weight: normal;
	background-color: #e8eef2;
}
*/

td.tiny {
	font-size: 75%;
}

.dirtab {
	padding: 4px;
	border-collapse: collapse;
	border: 1px solid #A3B4D7;
}

th.dirtab {
	background: #EBEFF6;
	font-weight: bold;
}

hr {
	height: 0px;
	border: none;
	border-top: 1px solid #4A6AAA;
}

hr.footer {
	height: 1px;
}

/* @group Member Descriptions */

table.memberdecls {
	border-spacing: 0px;
	padding: 0px;
}

.memberdecls td {
	-webkit-transition-property: background-color, box-shadow;
	-webkit-transition-duration: 0.5s;
	-moz-transition-property: background-color, box-shadow;
	-moz-transition-duration: 0.5s;
	-ms-transition-property: background-color, box-shadow;
	-ms-transition-duration: 0.5s;
	-o-transition-property: background-color, box-shadow;
	-o-transition-duration: 0.5s;
	transition-property: background-color, box-shadow;
	transition-duration: 0.5s;
}

.memberdecls td.glow {
	background-color: cyan;
	box-shadow: 0 0 15px cyan;
}

.mdescLeft, .mdescRight,
.memItemLeft, .memItemRight,
.memTemplItemLeft, .memTemplItemRight, .memTemplParams {
	background-color: #F9FAFC;
	border: none;
	margin: 4px;
	padding: 1px 0 0 8px;
}

.mdescLeft, .mdescRight {
	padding: 0px 8px 4px 8px;
	color: #555;
}

.memItemLeft, .memItemRight, .memTemplParams {
	border-top: 1px solid #C4CFE5;
}

.memItemLeft, .memTemplItemLeft {
        white-space: nowrap;
}

.memItemRight {
	width: 100%;
}

.memTemplParams {
	color: #4665A2;
        white-space: nowrap;
}

/* @end */

/* @group Member Details */

/* Styles for detailed member documentation */

.memtemplate {
	font-size: 80%;
	color: #4665A2;
	font-weight: normal;
	margin-left: 9px;
}

.memnav {
	background-color: #EBEFF6;
	border: 1px solid #A3B4D7;
	text-align: center;
	margin: 2px;
	margin-right: 15px;
	padding: 2px;
}

.mempage {
	width: 100%;
}

.memitem {
	padding: 0;
	margin-bottom: 10px;
	margin-right: 5px;
        -webkit-transition: box-shadow 0.5s linear;
        -moz-transition: box-shadow 0.5s linear;
        -ms-transition: box-shadow 0.5s linear;
        -o-transition: box-shadow 0.5s linear;
        transition: box-shadow 0.5s linear;
        display: table !important;
        width: 100%;
}

.memitem.glow {
         box-shadow: 0 0 15px cyan;
}

.memname {
        font-weight: bold;
        margin-left: 6px;
}

.memname td {
	vertical-align: bottom;
}

.memproto, dl.reflist dt {
        border-top: 1px solid #A8B8D9;
        border-left: 1px solid #A8B8D9;
        border-right: 1px solid #A8B8D9;
        padding: 6px 0px 6px 0px;
        color: #253555;
        font-weight: bold;
        text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
        background-image:url('nav_f.png');
        background-repeat:repeat-x;
        background-color: #E2E8F2;
        /* opera specific markup */
        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        border-top-right-radius: 4px;
        border-top-left-radius: 4px;
        /* firefox specific markup */
        -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
        -moz-border-radius-topright: 4px;
        -moz-border-radius-topleft: 4px;
        /* webkit specific markup */
        -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        -webkit-border-top-right-radius: 4px;
        -webkit-border-top-left-radius: 4px;

}

.memdoc, dl.reflist dd {
        border-bottom: 1px solid #A8B8D9;      
        border-left: 1px solid #A8B8D9;      
        border-right: 1px solid #A8B8D9; 
        padding: 6px 10px 2px 10px;
        background-color: #FBFCFD;
        border-top-width: 0;
        background-image:url('nav_g.png');
        background-repeat:repeat-x;
        background-color: #FFFFFF;
        /* opera specific markup */
        border-bottom-left-radius: 4px;
        border-bottom-right-radius: 4px;
        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        /* firefox specific markup */
        -moz-border-radius-bottomleft: 4px;
        -moz-border-radius-bottomright: 4px;
        -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
        /* webkit specific markup */
        -webkit-border-bottom-left-radius: 4px;
        -webkit-border-bottom-right-radius: 4px;
        -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
}

dl.reflist dt {
        padding: 5px;
}

dl.reflist dd {
        margin: 0px 0px 10px 0px;
        padding: 5px;
}

.paramkey {
	text-align: right;
}

.paramtype {
	white-space: nowrap;
}

.paramname {
	color: #602020;
	white-space: nowrap;
}
.paramname em {
	font-style: normal;
}
.paramname code {
        line-height: 14px;
}

.params, .retval, .exception, .tparams {
        margin-left: 0px;
        padding-left: 0px;
}       

.params .paramname, .retval .paramname {
        font-weight: bold;
        vertical-align: top;
}
        
.params .paramtype {
        font-style: italic;
        vertical-align: top;
}       
        
.params .paramdir {
        font-family: "courier new",courier,monospace;
        vertical-align: top;
}

table.mlabels {
	border-spacing: 0px;
}

td.mlabels-left {
	width: 100%;
	padding: 0px;
}

td.mlabels-right {
	vertical-align: bottom;
	padding: 0px;
	white-space: nowrap;
}

span.mlabels {
        margin-left: 8px;
}

span.mlabel {
        background-color: #728DC1;
        border-top:1px solid #5373B4;
        border-left:1px solid #5373B4;
        border-right:1px solid #C4CFE5;
        border-bottom:1px solid #C4CFE5;
	text-shadow: none;
        color: white;
        margin-right: 4px;
        padding: 2px 3px;
        border-radius: 3px;
        font-size: 7pt;
	white-space: nowrap;
}



/* @end */

/* these are for tree view when not used as main index */

div.directory {
        margin: 10px 0px;
        border-top: 1px solid #A8B8D9;
        border-bottom: 1px solid #A8B8D9;
        width: 100%;
}

.directory table {
        border-collapse:collapse;
}

.directory td {
        margin: 0px;
        padding: 0px;
	vertical-align: top;
}

.directory td.entry {
        white-space: nowrap;
        padding-right: 6px;
}

.directory td.entry a {
        outline:none;
}

.directory td.entry a img {
        border: none;
}

.directory td.desc {
        width: 100%;
        padding-left: 6px;
	padding-right: 6px;
	border-left: 1px solid rgba(0,0,0,0.05);
}

.directory tr.even {
	padding-left: 6px;
	background-color: #F7F8FB;
}

.directory img {
	vertical-align: -30%;
}

.directory .levels {
        white-space: nowrap;
        width: 100%;
        text-align: right;
        font-size: 9pt;
}

.directory .levels span {
        cursor: pointer;
        padding-left: 2px;
        padding-right: 2px;
	color: #3D578C;
}

div.dynheader {
        margin-top: 8px;
	-webkit-touch-callout: none;
	-webkit-user-select: none;
	-khtml-user-select: none;
	-moz-user-select: none;
	-ms-user-select: none;
	user-select: none;
}

address {
	font-style: normal;
	color: #2A3D61;
}

table.doxtable {
	border-collapse:collapse;
        margin-top: 4px;
        margin-bottom: 4px;
}

table.doxtable td, table.doxtable th {
	border: 1px solid #2D4068;
	padding: 3px 7px 2px;
}

table.doxtable th {
	background-color: #374F7F;
	color: #FFFFFF;
	font-size: 110%;
	padding-bottom: 4px;
	padding-top: 5px;
}

table.fieldtable {
        width: 100%;
        margin-bottom: 10px;
        border: 1px solid #A8B8D9;
        border-spacing: 0px;
        -moz-border-radius: 4px;
        -webkit-border-radius: 4px;
        border-radius: 4px;
        -moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px;
        -webkit-box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
        box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
}

.fieldtable td, .fieldtable th {
        padding: 3px 7px 2px;
}

.fieldtable td.fieldtype, .fieldtable td.fieldname {
        white-space: nowrap;
        border-right: 1px solid #A8B8D9;
        border-bottom: 1px solid #A8B8D9;
        vertical-align: top;
}

.fieldtable td.fielddoc {
        border-bottom: 1px solid #A8B8D9;
        width: 100%;
}

.fieldtable tr:last-child td {
        border-bottom: none;
}

.fieldtable th {
        background-image:url('nav_f.png');
        background-repeat:repeat-x;
        background-color: #E2E8F2;
        font-size: 90%;
        color: #253555;
        padding-bottom: 4px;
        padding-top: 5px;
        text-align:left;
        -moz-border-radius-topleft: 4px;
        -moz-border-radius-topright: 4px;
        -webkit-border-top-left-radius: 4px;
        -webkit-border-top-right-radius: 4px;
        border-top-left-radius: 4px;
        border-top-right-radius: 4px;
        border-bottom: 1px solid #A8B8D9;
}


.tabsearch {
	top: 0px;
	left: 10px;
	height: 36px;
	background-image: url('tab_b.png');
	z-index: 101;
	overflow: hidden;
	font-size: 13px;
}

.navpath ul
{
	font-size: 11px;
	background-image:url('tab_b.png');
	background-repeat:repeat-x;
	height:30px;
	line-height:30px;
	color:#8AA0CC;
	border:solid 1px #C2CDE4;
	overflow:hidden;
	margin:0px;
	padding:0px;
}

.navpath li
{
	list-style-type:none;
	float:left;
	padding-left:10px;
	padding-right:15px;
	background-image:url('bc_s.png');
	background-repeat:no-repeat;
	background-position:right;
	color:#364D7C;
}

.navpath li.navelem a
{
	height:32px;
	display:block;
	text-decoration: none;
	outline: none;
}

.navpath li.navelem a:hover
{
	color:#6884BD;
}

.navpath li.footer
{
        list-style-type:none;
        float:right;
        padding-left:10px;
        padding-right:15px;
        background-image:none;
        background-repeat:no-repeat;
        background-position:right;
        color:#364D7C;
        font-size: 8pt;
}


div.summary
{
	float: right;
	font-size: 8pt;
	padding-right: 5px;
	width: 50%;
	text-align: right;
}       

div.summary a
{
	white-space: nowrap;
}

div.ingroups
{
	font-size: 8pt;
	width: 50%;
	text-align: left;
}

div.ingroups a
{
	white-space: nowrap;
}

div.header
{
        background-image:url('nav_h.png');
        background-repeat:repeat-x;
	background-color: #F9FAFC;
	margin:  0px;
	border-bottom: 1px solid #C4CFE5;
}

div.headertitle
{
	padding: 5px 5px 5px 7px;
}

dl
{
        padding: 0 0 0 10px;
}

/* dl.note, dl.warning, dl.attention, dl.pre, dl.post, dl.invariant, dl.deprecated, dl.todo, dl.test, dl.bug */
dl.section
{
	margin-left: 0px;
	padding-left: 0px;
}

dl.note
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #D0C000;
}

dl.warning, dl.attention
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #FF0000;
}

dl.pre, dl.post, dl.invariant
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #00D000;
}

dl.deprecated
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #505050;
}

dl.todo
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #00C0E0;
}

dl.test
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #3030E0;
}

dl.bug
{
        margin-left:-7px;
        padding-left: 3px;
        border-left:4px solid;
        border-color: #C08050;
}

dl.section dd {
	margin-bottom: 6px;
}


#projectlogo
{
	text-align: center;
	vertical-align: bottom;
	border-collapse: separate;
}
 
#projectlogo img
{ 
	border: 0px none;
}
 
#projectname
{
	font: 300% Tahoma, Arial,sans-serif;
	margin: 0px;
	padding: 2px 0px;
}
    
#projectbrief
{
	font: 120% Tahoma, Arial,sans-serif;
	margin: 0px;
	padding: 0px;
}

#projectnumber
{
	font: 50% Tahoma, Arial,sans-serif;
	margin: 0px;
	padding: 0px;
}

#titlearea
{
	padding: 0px;
	margin: 0px;
	width: 100%;
	border-bottom: 1px solid #5373B4;
}

.image
{
        text-align: center;
}

.dotgraph
{
        text-align: center;
}

.mscgraph
{
        text-align: center;
}

.caption
{
	font-weight: bold;
}

div.zoom
{
	border: 1px solid #90A5CE;
}

dl.citelist {
        margin-bottom:50px;
}

dl.citelist dt {
        color:#334975;
        float:left;
        font-weight:bold;
        margin-right:10px;
        padding:5px;
}

dl.citelist dd {
        margin:2px 0;
        padding:5px 0;
}

div.toc {
        padding: 14px 25px;
        background-color: #F4F6FA;
        border: 1px solid #D8DFEE;
        border-radius: 7px 7px 7px 7px;
        float: right;
        height: auto;
        margin: 0 20px 10px 10px;
        width: 200px;
}

div.toc li {
        background: url("bdwn.png") no-repeat scroll 0 5px transparent;
        font: 10px/1.2 Verdana,DejaVu Sans,Geneva,sans-serif;
        margin-top: 5px;
        padding-left: 10px;
        padding-top: 2px;
}

div.toc h3 {
        font: bold 12px/1.2 Arial,FreeSans,sans-serif;
	color: #4665A2;
        border-bottom: 0 none;
        margin: 0;
}

div.toc ul {
        list-style: none outside none;
        border: medium none;
        padding: 0px;
}       

div.toc li.level1 {
        margin-left: 0px;
}

div.toc li.level2 {
        margin-left: 15px;
}

div.toc li.level3 {
        margin-left: 30px;
}

div.toc li.level4 {
        margin-left: 45px;
}

.inherit_header {
        font-weight: bold;
        color: gray;
        cursor: pointer;
	-webkit-touch-callout: none;
	-webkit-user-select: none;
	-khtml-user-select: none;
	-moz-user-select: none;
	-ms-user-select: none;
	user-select: none;
}

.inherit_header td {
        padding: 6px 0px 2px 5px;
}

.inherit {
        display: none;
}

tr.heading h2 {
        margin-top: 12px;
        margin-bottom: 4px;
}

@media print
{
  #top { display: none; }
  #side-nav { display: none; }
  #nav-path { display: none; }
  body { overflow:visible; }
  h1, h2, h3, h4, h5, h6 { page-break-after: avoid; }
  .summary { display: none; }
  .memitem { page-break-inside: avoid; }
  #doc-content
  {
    margin-left:0 !important;
    height:auto !important;
    width:auto !important;
    overflow:inherit;
    display:inline;
  }
}

vlfeat-0.9.16/doc/api/doxygen.png000066400000000000000000000073031203326130700165710ustar00rootroot00000000000000PNG


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  VLFeat - Documentation - C API
  
  
  
  
  
  
 
 
 
  
  

   Documentation - C API
  

  

    
   

    
    




  


Dense Scale Invariant Feature Transform (DSIFT) 
  






Author:
Andrea Vedaldi 



Brian Fulkerson


dsift.h implements a dense version of SIFT. This is an object that can quickly compute descriptors for densely sampled keypoints with identical size and orientation. It can be reused for multiple images of the same size.




Overview


See also:
The SIFT module, Technical details


This module implements a fast algorithm for the calculation of a large number of SIFT descriptors of densely sampled features of the same scale and orientation. See the SIFT module for an overview of SIFT.


The feature frames (keypoints) are indirectly specified by the sampling steps (vl_dsift_set_steps) and the sampling bounds (vl_dsift_set_bounds). The descriptor geometry (number and size of the spatial bins and number of orientation bins) can be customized (vl_dsift_set_geometry, VlDsiftDescriptorGeometry).



dsift-geom.png


Dense SIFT descriptor geometry


 By default, SIFT uses a Gaussian windowing function that discounts contributions of gradients further away from the descriptor centers. This function can be changed to a flat window by invoking vl_dsift_set_flat_window. In this case, gradients are accumulated using only bilinear interpolation, but instad of being reweighted by a Gassuain window, they are all weighted equally. However, after gradients have been accumulated into a spatial bin, the whole bin is reweighted by the average of the Gaussian window over the spatial support of that bin. This “approximation” substantially improves speed with little or no loss of performance in applications.


Keypoints are sampled in such a way that the centers of the spatial bins are at integer coordinates within the image boundaries. For instance, the top-left bin of the top-left descriptor is centered on the pixel (0,0). The bin immediately to the right at (binSizeX,0), where binSizeX is a paramtere in the VlDsiftDescriptorGeometry structure. vl_dsift_set_bounds can be used to further restrict sampling to the keypoints in an image.



Usage


DSIFT is implemented by a VlDsiftFilter object that can be used to process a sequence of images of a given geometry. To use the DSIFT filter:




Technical details


This section extends the SIFT descriptor section and specialzies it to the case of dense keypoints.



Dense descriptors


When computing descriptors for many keypoints differing only by their position (and with null rotation), further simplifications are possible. In this case, in fact,



\begin{eqnarray*} \mathbf{x} &=& m \sigma \hat{\mathbf{x}} + T,\\ h(t,i,j) &=& m \sigma \int g_{\sigma_\mathrm{win}}(\mathbf{x} - T)\, w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta_t)\, w\left(\frac{x - T_x}{m\sigma} - \hat{x}_i\right)\, w\left(\frac{y - T_y}{m\sigma} - \hat{y}_j\right)\, |J(\mathbf{x})|\, d\mathbf{x}. \end{eqnarray*}



Since many different values of T are sampled, this is conveniently expressed as a separable convolution. First, we translate by $ \mathbf{x}_{ij} = m\sigma(\hat x_i,\ \hat y_i)^\top $ and we use the symmetry of the various binning and windowing functions to write



\begin{eqnarray*} h(t,i,j) &=& m \sigma \int g_{\sigma_\mathrm{win}}(T' - \mathbf{x} - \mathbf{x}_{ij})\, w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta_t)\, w\left(\frac{T'_x - x}{m\sigma}\right)\, w\left(\frac{T'_y - y}{m\sigma}\right)\, |J(\mathbf{x})|\, d\mathbf{x}, \\ T' &=& T + m\sigma \left[\begin{array}{cc} x_i \\ y_j \end{array}\right]. \end{eqnarray*}



Then we define kernels



\begin{eqnarray*} k_i(x) &=& \frac{1}{\sqrt{2\pi} \sigma_{\mathrm{win}}} \exp\left( -\frac{1}{2} \frac{(x-x_i)^2}{\sigma_{\mathrm{win}}^2} \right) w\left(\frac{x}{m\sigma}\right), \\ k_j(y) &=& \frac{1}{\sqrt{2\pi} \sigma_{\mathrm{win}}} \exp\left( -\frac{1}{2} \frac{(y-y_j)^2}{\sigma_{\mathrm{win}}^2} \right) w\left(\frac{y}{m\sigma}\right), \end{eqnarray*}



and obtain



\begin{eqnarray*} h(t,i,j) &=& (k_ik_j * \bar J_t)\left( T + m\sigma \left[\begin{array}{cc} x_i \\ y_j \end{array}\right] \right), \\ \bar J_t(\mathbf{x}) &=& w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta_t)\,|J(\mathbf{x})|. \end{eqnarray*}



Furthermore, if we use a flat rather than Gaussian windowing function, the kernels do not depend on the bin, and we have



\begin{eqnarray*} k(z) &=& \frac{1}{\sigma_{\mathrm{win}}} w\left(\frac{z}{m\sigma}\right), \\ h(t,i,j) &=& (k(x)k(y) * \bar J_t)\left( T + m\sigma \left[\begin{array}{cc} x_i \\ y_j \end{array}\right] \right), \end{eqnarray*}



(here $ \sigma_\mathrm{win} $ is the side of the flat window).


Note:
In this case the binning functions $ k(z) $ are triangular and the convolution can be computed in time independent on the filter (i.e. descriptor bin) support size by integral signals.



Sampling


To avoid resampling and dealing with special boundary conditions, we impose some mild restrictions on the geometry of the descriptors that can be computed. In particular, we impose that the bin centers $ T + m\sigma (x_i,\ y_j) $ are always at integer coordinates within the image boundaries. This eliminates the need for costly interpolation. This condition amounts to (expressed in terms of the x coordinate, and equally applicable to y)



\[ \{0,\dots, W-1\} \ni T_x + m\sigma x_i = T_x + m\sigma i - \frac{N_x-1}{2} = \bar T_x + m\sigma i, \qquad i = 0,\dots,N_x-1. \]



Notice that for this condition to be satisfied, the descriptor center $ T_x $ needs to be either fractional or integer depending on $ N_x $ being even or odd. To eliminate this complication, it is simpler to use as a reference not the descriptor center T, but the coordinates of the upper-left bin $ \bar T $. Thus we sample the latter on a regular (integer) grid



\[ \left[\begin{array}{cc} 0 \\ 0 \end{array}\right] \leq \bar T = \left[\begin{array}{cc} \bar T_x^{\min} + p \Delta_x \\ \bar T_y^{\min} + q \Delta_y \\ \end{array}\right] \leq \left[\begin{array}{cc} W - 1 - m\sigma N_x \\ H - 1 - m\sigma N_y \end{array}\right], \quad \bar T = \left[\begin{array}{cc} T_x - \frac{N_x - 1}{2} \\ T_y - \frac{N_y - 1}{2} \\ \end{array}\right] \]



and we impose that the bin size $ m \sigma $ is integer as well. 



     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/dsift_8c.html000066400000000000000000000527761203326130700170150ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Functions  

  


dsift.c File Reference
  







Dense SIFT - Definition.  
More...


#include "dsift.h"

#include "pgm.h"

#include "mathop.h"

#include "imopv.h"

#include <math.h>

#include <string.h>





Functions


float * _vl_dsift_new_kernel (int binSize, int numBins, int binIndex, double windowSize)


 Initialize new convolution kernel.  


float _vl_dsift_normalize_histogram (float *begin, float *end)


 Normalize histogram.  


static void _vl_dsift_free_buffers (VlDsiftFilter *self)


 Free internal buffers.  


void _vl_dsift_update_buffers (VlDsiftFilter *self)


 Updates internal buffers to current geometry.  


static void _vl_dsift_alloc_buffers (VlDsiftFilter *self)


 Allocate internal buffers.  


VlDsiftFilter * vl_dsift_new (int imWidth, int imHeight)


 Create a new DSIFT filter.  


VlDsiftFilter * vl_dsift_new_basic (int imWidth, int imHeight, int step, int binSize)


 Create a new DSIFT filter (basic interface)  


void vl_dsift_delete (VlDsiftFilter *self)


 Delete DSIFT filter.  


void _vl_dsift_with_gaussian_window (VlDsiftFilter *self)


 Process with Gaussian window.  


void _vl_dsift_with_flat_window (VlDsiftFilter *self)


 Process with flat window.  


void vl_dsift_process (VlDsiftFilter *self, float const *im)


 Compute keypoints and descriptors.  




Detailed Description


Author:
Andrea Vedaldi 



Brian Fulkerson 


Function Documentation








  

  
      

        

          static void _vl_dsift_alloc_buffers 
          (
          VlDsiftFilter * 
          self)
          
        

      

  		
  
static  
  






Parameters:

  

    
selfDSIFT filter.

  

  




The function (re)allocates the internal buffers in accordance with the current image and descriptor geometry. 













  

  
      

        

          static void _vl_dsift_free_buffers 
          (
          VlDsiftFilter * 
          self)
          
        

      

  		
  
static  
  






Parameters:

  

    
selfDSIFT filter. 

  

  













      

        

          float* _vl_dsift_new_kernel 
          (
          int 
          binSize, 
        

        

          
          
          int 
          numBins, 
        

        

          
          
          int 
          binIndex, 
        

        

          
          
          double 
          windowSize 
        

        

          
          )
          
        

      




Parameters:

  

    
binSize

    
numBins

    
binIndexnegative to use flat window. 

    
windowSize

  

  




Returns:
a pointer to new filter. 













  

  
      

        

          float _vl_dsift_normalize_histogram 
          (
          float * 
          begin, 
        

        

          
          
          float * 
          end 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
beginfirst element of the histogram. 

    
endlast plus one element of the histogram.

  

  




The function divides the specified histogram by its l2 norm. 











      

        

          void _vl_dsift_update_buffers 
          (
          VlDsiftFilter * 
          self)
          
        

      















  

  
      

        

          void _vl_dsift_with_flat_window 
          (
          VlDsiftFilter * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  















  

  
      

        

          void _vl_dsift_with_gaussian_window 
          (
          VlDsiftFilter * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter. 

  

  













      

        

          void vl_dsift_delete 
          (
          VlDsiftFilter * 
          self)
          
        

      




Parameters:

  

    
selfDSIFT filter. 

  

  













      

        

          VlDsiftFilter* vl_dsift_new 
          (
          int 
          imWidth, 
        

        

          
          
          int 
          imHeight 
        

        

          
          )
          
        

      




Parameters:

  

    
imWidthwidth of the image. 

    
imHeightheight of the image

  

  




Returns:
new filter. 











      

        

          VlDsiftFilter* vl_dsift_new_basic 
          (
          int 
          imWidth, 
        

        

          
          
          int 
          imHeight, 
        

        

          
          
          int 
          step, 
        

        

          
          
          int 
          binSize 
        

        

          
          )
          
        

      




Parameters:

  

    
imWidthwidth of the image. 

    
imHeightheight of the image. 

    
stepsampling step. 

    
binSizebin size. 

  

  




Returns:
new filter.


The descriptor geometry matches the standard SIFT descriptor. 











      

        

          void vl_dsift_process 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          float const * 
          im 
        

        

          
          )
          
        

      




Parameters:

  

    
selfDSIFT filter. 

    
imimage data. 

  

  










     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/dsift_8h.html000066400000000000000000001216541203326130700170120ustar00rootroot00000000000000

 
  
  
  
  
  
  
  VLFeat - Documentation - C API
  
  
  
  
  
  
 
 
 
  
  

   Documentation - C API
  

  

    
   

    
    




  

Data Structures |
Functions  

  


dsift.h File Reference
  







Dense SIFT (Dense Scale Invariant Feature Transform (DSIFT))  
More...


#include "generic.h"





Data Structures


struct  VlDsiftKeypoint


 Dense SIFT keypoint.  More...


struct  VlDsiftDescriptorGeometry


 Dense SIFT descriptor geometry.  More...


struct  VlDsiftFilter


 Dense SIFT filter.  More...





Functions


VlDsiftFilter * vl_dsift_new (int width, int height)


 Create a new DSIFT filter.  


VlDsiftFilter * vl_dsift_new_basic (int width, int height, int step, int binSize)


 Create a new DSIFT filter (basic interface)  


void vl_dsift_delete (VlDsiftFilter *self)


 Delete DSIFT filter.  


void vl_dsift_process (VlDsiftFilter *self, float const *im)


 Compute keypoints and descriptors.  


void vl_dsift_transpose_descriptor (float *dst, float const *src, int numBinT, int numBinX, int numBinY)


 Transpose descriptor.  


void _vl_dsift_update_buffers (VlDsiftFilter *self)


 Updates internal buffers to current geometry.  


Setting parameters


void vl_dsift_set_steps (VlDsiftFilter *self, int stepX, int stepY)


 Set steps.  


void vl_dsift_set_bounds (VlDsiftFilter *self, int minX, int minY, int maxX, int maxY)


 Set bounds.  


void vl_dsift_set_geometry (VlDsiftFilter *self, VlDsiftDescriptorGeometry const *geom)


 Set SIFT descriptor geometry.  


void vl_dsift_set_flat_window (VlDsiftFilter *self, vl_bool useFlatWindow)


 Set flat window flag.  


void vl_dsift_set_window_size (VlDsiftFilter *self, double windowSize)


 Set SIFT descriptor Gaussian window size.  


Retrieving data and parameters


float const * vl_dsift_get_descriptors (VlDsiftFilter const *self)


 Get descriptors.  


int vl_dsift_get_descriptor_size (VlDsiftFilter const *self)


 Get descriptor size.  


int vl_dsift_get_keypoint_num (VlDsiftFilter const *self)


 Get number of keypoints.  


VlDsiftKeypoint const * vl_dsift_get_keypoints (VlDsiftFilter const *self)


 Get keypoints.  


void vl_dsift_get_bounds (VlDsiftFilter const *self, int *minX, int *minY, int *maxX, int *maxY)


 Get bounds.  


void vl_dsift_get_steps (VlDsiftFilter const *self, int *stepX, int *stepY)


 Get steps.  


VlDsiftDescriptorGeometry const * vl_dsift_get_geometry (VlDsiftFilter const *self)


 Get SIFT descriptor geometry.  


vl_bool vl_dsift_get_flat_window (VlDsiftFilter const *self)


 Get flat window flag.  


double vl_dsift_get_window_size (VlDsiftFilter const *self)


 Get SIFT descriptor Gaussian window size.  




Detailed Description


Author:
Andrea Vedaldi 



Brian Fulkerson 


Function Documentation






      

        

          void _vl_dsift_update_buffers 
          (
          VlDsiftFilter * 
          self)
          
        

      













      

        

          void vl_dsift_delete 
          (
          VlDsiftFilter * 
          self)
          
        

      




Parameters:

  

    
selfDSIFT filter. 

  

  















  

  
      

        

          void vl_dsift_get_bounds 
          (
          VlDsiftFilter const * 
          self, 
        

        

          
          
          int * 
          minX, 
        

        

          
          
          int * 
          minY, 
        

        

          
          
          int * 
          maxX, 
        

        

          
          
          int * 
          maxY 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
minXbounding box minimum X coordinate. 

    
minYbounding box minimum Y coordinate. 

    
maxXbounding box maximum X coordinate. 

    
maxYbounding box maximum Y coordinate. 

  

  















  

  
      

        

          int vl_dsift_get_descriptor_size 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  




Returns:
size of a descriptor. 













  

  
      

        

          float const * vl_dsift_get_descriptors 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  




Returns:
descriptors. 













  

  
      

        

          int vl_dsift_get_flat_window 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  




Returns:
TRUE if the DSIFT filter uses a flat window. 













  

  
      

        

          VlDsiftDescriptorGeometry const * vl_dsift_get_geometry 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  




Returns:
DSIFT descriptor geometry. 













  

  
      

        

          int vl_dsift_get_keypoint_num 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  















  

  
      

        

          VlDsiftKeypoint const * vl_dsift_get_keypoints 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  















  

  
      

        

          void vl_dsift_get_steps 
          (
          VlDsiftFilter const * 
          self, 
        

        

          
          
          int * 
          stepX, 
        

        

          
          
          int * 
          stepY 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
stepXsampling step along X. 

    
stepYsampling step along Y. 

  

  















  

  
      

        

          double vl_dsift_get_window_size 
          (
          VlDsiftFilter const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

  

  




Returns:
window size. 











      

        

          VlDsiftFilter* vl_dsift_new 
          (
          int 
          imWidth, 
        

        

          
          
          int 
          imHeight 
        

        

          
          )
          
        

      




Parameters:

  

    
imWidthwidth of the image. 

    
imHeightheight of the image

  

  




Returns:
new filter. 











      

        

          VlDsiftFilter* vl_dsift_new_basic 
          (
          int 
          imWidth, 
        

        

          
          
          int 
          imHeight, 
        

        

          
          
          int 
          step, 
        

        

          
          
          int 
          binSize 
        

        

          
          )
          
        

      




Parameters:

  

    
imWidthwidth of the image. 

    
imHeightheight of the image. 

    
stepsampling step. 

    
binSizebin size. 

  

  




Returns:
new filter.


The descriptor geometry matches the standard SIFT descriptor. 











      

        

          void vl_dsift_process 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          float const * 
          im 
        

        

          
          )
          
        

      




Parameters:

  

    
selfDSIFT filter. 

    
imimage data. 

  

  















  

  
      

        

          void vl_dsift_set_bounds 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          int 
          minX, 
        

        

          
          
          int 
          minY, 
        

        

          
          
          int 
          maxX, 
        

        

          
          
          int 
          maxY 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
minXbounding box minimum X coordinate. 

    
minYbounding box minimum Y coordinate. 

    
maxXbounding box maximum X coordinate. 

    
maxYbounding box maximum Y coordinate. 

  

  















  

  
      

        

          void vl_dsift_set_flat_window 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          vl_bool 
          useFlatWindow 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
useFlatWindowtrue if the DSIFT filter should use a flat window. 

  

  















  

  
      

        

          void vl_dsift_set_geometry 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          VlDsiftDescriptorGeometry const * 
          geom 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
geomdescriptor geometry parameters. 

  

  















  

  
      

        

          void vl_dsift_set_steps 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          int 
          stepX, 
        

        

          
          
          int 
          stepY 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
stepXsampling step along X. 

    
stepYsampling step along Y. 

  

  















  

  
      

        

          void vl_dsift_set_window_size 
          (
          VlDsiftFilter * 
          self, 
        

        

          
          
          double 
          windowSize 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfDSIFT filter object. 

    
windowSizewindow size. 

  

  















  

  
      

        

          void vl_dsift_transpose_descriptor 
          (
          float * 
          dst, 
        

        

          
          
          float const * 
          src, 
        

        

          
          
          int 
          numBinT, 
        

        

          
          
          int 
          numBinX, 
        

        

          
          
          int 
          numBinY 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
dstdestination buffer. 

    
srcsource buffer. 

    
numBinT

    
numBinX

    
numBinYThe function writes to dst the transpose of the SIFT descriptor src. Let I be an image. The transpose operator satisfies the equation transpose(dsift(I,x,y)) = dsift(transpose(I),y,x) 

  

  










     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/files.html000066400000000000000000000535171203326130700164060ustar00rootroot00000000000000

 
  
  
  
  
  
  
  VLFeat - Documentation - C API
  
  
  
  
  
  
 
 
 
  
  

   Documentation - C API
  

  

    
   

    
    




  


File List
  






Here is a list of all documented files with brief descriptions:




o*aib.cAIB - Definition


o*aib.hAIB (Agglomerative Information Bottleneck (AIB))


o*array.hArray


o*covdet.cCovariant feature detectors - Definition


o*covdet.hCovariant feature detectors (Covariant feature detectors)


o*dsift.cDense SIFT - Definition


o*dsift.hDense SIFT (Dense Scale Invariant Feature Transform (DSIFT))


o*generic.cGeneric - Definition


o*generic.hGeneric (Preprocssor, library state, etc.)


o*getopt_long.cGetopt_long - Definition


o*getopt_long.hGetopt_long


o*heap-def.hHeap preprocessor metaprogram


o*hikmeans.cHierarchical Integer K-Means Clustering - Declaration


o*hikmeans.hHierarchical integer K-Means clustering


o*hog.cHistogram of Oriented Gradients (HOG) - Definition


o*hog.hHistogram of Oriented Gradients (Histogram of Oriented Gradients (HOG) features)


o*homkermap.cHomogeneous kernel map - Definition


o*homkermap.hHomogeneous kernel map (Homogeneous kernel map)


o*host.cHost - Definition


o*host.hHost


o*ikmeans.cInteger K-Means clustering - Definition


o*ikmeans.hInteger K-Means clustering


o*ikmeans_elkan.tcInteger K-Means - Elkan Algorithm - Definition


o*ikmeans_init.tcInteger K-Means - Initialization - Definition


o*ikmeans_lloyd.tcInteger K-Means - LLoyd Algorithm - Definition


o*imopv.cVectorized image operations - Definition


o*imopv.hVectorized image operations


o*imopv_sse2.cVectorized image operations - SSE2 - Definition


o*imopv_sse2.hVectorized image operations - SSE2


o*kdtree.cKD-tree - Definition


o*kdtree.hKD-tree (KD-trees and forests)


o*kmeans.cK-means - Declaration


o*kmeans.hK-means (K-means clustering)


o*lbp.cLocal Binary Patterns - Definition


o*lbp.hLocal Binary Patterns


o*mathop.cMath operations - Definition


o*mathop.hMath operations


o*mathop_sse2.cMathop for SSE2 - Definition


o*mathop_sse2.hMathop for sse2


o*mexutils.hMEX utilities


o*mser.cMSER - Definition


o*mser.hMSER (Maximally Stable Extremal Regions)


o*pegasos.cPEGASOS - Definition


o*pegasos.hPEGASOS (PEGASOS SVM solver)


o*pgm.cPortable graymap format (PGM) parser - Definition


o*pgm.hPortable graymap format (PGM) parser


o*qsort-def.hQSort preprocessor metaprogram


o*quickshift.cQuick shift - Definition


o*quickshift.hQuick shift (Quick shift image segmentation)


o*random.cRandom number generator - Definition


o*random.hRandom number generator


o*rodrigues.h


o*scalespace.cScale Space - Definition


o*scalespace.hScale Space (Gaussian Scale Space)


o*shuffle-def.hShuffle preprocessor metaprogram


o*sift.cSIFT - Definition


o*sift.hSIFT (Scale Invariant Feature Transform (SIFT))


o*slic.cSLIC superpixels - Definition


o*slic.hSLIC superpixels (Simple Linear Iterative Clustering (SLIC))


o*stringop.cString operations - Definition


o*stringop.hString operations


o*svmdataset.cSvm Dataset - Definition


\*svmdataset.hSVM Dataset







     
    

   

   
 

  
 
   
 
 

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- f -



     
    

   

   
 

  
 
   
 
 

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Preprocssor, library state, etc. 
  






Author:
Andrea Vedaldi


generic.h provides the following functionalities:




C preprocessor helpers


VLFeat provides a few C preprocessor macros of general utility. These include stringification (VL_STRINGIFY, VL_XSTRINGIFY) and concatenation (VL_CAT, VL_XCAT) of symbols.



VLFeat state and configuration parameters


VLFeat has some global configuration parameters that can changed. Changing the configuration is thread unsave (Multi-threading). Use vl_set_simd_enabled to toggle the use of a SIMD unit (Intel SSE code), vl_set_alloc_func to change the memory allocation functions, and vl_set_printf_func to change the logging function.



Error handling


Some VLFeat functions signal errors in a way similar to the standard C library. In case of error, a VLFeat function may return an error code directly, or an invalid result (for instance a negative file descriptor or a null pointer). Then vl_get_last_error and vl_get_last_error_message can be used to retrieve further details about the error (these functions should be used right after an error has occurred, before any other VLFeat call).



Memory allocation


VLFeat uses the vl_malloc, vl_realloc, vl_calloc and vl_free functions to allocate memory. Normally these functions are mapped to the underlying standard C library implementations. However vl_set_alloc_func can be used to map them to other implementations. For instance, in MATALB MEX files these functions are mapped to the MATLAB equivalent which has a garbage collection mechanism to cope with interruptions during execution.



Logging


VLFeat uses the macros VL_PRINT and VL_PRINTF to print progress or debug informations. These functions are normally mapped to the printf function of the underlying standard C library. However vl_set_printf_func can be used to map it to a different implementation. For instance, in MATLAB MEX files this function is mapped to mexPrintf. Setting the function to NULL disables logging.



Measuring time


VLFeat provides vl_tic and vl_toc as an easy way of measuring elapsed time. 



     
    

   

   
 

  
 
   
 
 

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Functions |
Variables  

  


generic.c File Reference
  







Generic - Definition.  
More...


#include "generic.h"

#include <assert.h>

#include <stdlib.h>

#include <stdio.h>

#include <stdarg.h>

#include <math.h>

#include <Windows.h>

#include <unistd.h>





Functions


char const * vl_get_version_string ()


 Get version string.  


char * vl_configuration_to_string_copy ()


 Human readable library configuration.  


static int do_nothing_printf (char const *format,...)


 A printf that does not do anything.  


void vl_lock_state ()


 Lock VLFeat state.  


void vl_unlock_state ()


 Unlock VLFeat state.  


int vl_set_last_error (int error, char const *errorMessage,...)


 Set last VLFeat error.  


void vl_set_alloc_func (void *(*malloc_func)(size_t), void *(*realloc_func)(void *, size_t), void *(*calloc_func)(size_t, size_t), void(*free_func)(void *))


 Set memory allocation functions.  


void vl_set_printf_func (printf_func_t printf_func)


 Set printf function.  


double vl_get_cpu_time ()


 Get processor time.  


void vl_tic ()


 Reset processor time reference The function resets VLFeat TIC/TOC time reference.  


double vl_toc ()


 Get elapsed time since tic.  


VlRand * vl_get_rand ()


 Get the random number generator for this thread.  


static void vl_constructor ()


 Initialize VLFeat.  


static void vl_destructor ()


 Destruct VLFeat.  





Variables


VlState _vl_state




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation








  

  
      

        

          static int do_nothing_printf 
          (
          char const * 
          format, 
        

        

          
          
           
          ... 
        

        

          
          )
          
        

      

  		
  
static  
  















      

        

          char* vl_configuration_to_string_copy 
          (
          )
          
        

      




Returns:
a new string with the library configuration.


The function returns a new string with a human readable rendition of the library configuration. 













  

  
      

        

          static void vl_constructor 
          (
          )
          
        

      

  		
  
static  
  

















  

  
      

        

          static void vl_destructor 
          (
          )
          
        

      

  		
  
static  
  















      

        

          double vl_get_cpu_time 
          (
          )
          
        

      




Returns:
processor time. 


See also:
vl_tic, vl_toc 











      

        

          VlRand* vl_get_rand 
          (
          )
          
        

      




Returns:
random number generator.


The function returns a pointer to the random number genrator for this thread. 











      

        

          char const* vl_get_version_string 
          (
          )
          
        

      




Returns:
library version string 











      

        

          void vl_lock_state 
          (
          )
          
        

      




The function locks VLFeat global state mutex.


The mutex is recursive: locking multiple times from the same thread is a valid operations, but requires an equivalent number of calls to vl_unlock_state.


See also:
vl_unlock_state 











      

        

          void vl_set_alloc_func 
          (
          void *(*)(size_t) 
          malloc_func, 
        

        

          
          
          void *(*)(void *, size_t) 
          realloc_func, 
        

        

          
          
          void *(*)(size_t, size_t) 
          calloc_func, 
        

        

          
          
          void(*)(void *) 
          free_func 
        

        

          
          )
          
        

      




Parameters:

  

    
malloc_funcpointer to malloc. 

    
realloc_funcpointer to realloc. 

    
calloc_funcpointer to calloc. 

    
free_funcpointer to free. 

  

  













      

        

          int vl_set_last_error 
          (
          int 
          error, 
        

        

          
          
          char const * 
          errorMessage, 
        

        

          
          
           
          ... 
        

        

          
          )
          
        

      




The function sets the code and optionally the error message of the last encountered error. errorMessage is the message format. It uses the printf convention and is followed by the format arguments. The maximum lenght of the error message is given by VL_ERR_MSG_LEN (longer messages are truncated).


Passing NULL as errorMessage sets the error message to the empty string.


Parameters:

  

    
errorerror code. 

    
errorMessageerror message format string. 

    
...format string arguments. 

  

  




Returns:
error code. 











      

        

          void vl_set_printf_func 
          (
          printf_func_t 
          printf_func)
          
        

      




Parameters:

  

    
printf_funcpointer to printf. Let print_func be NULL to disable printf. 

  

  













      

        

          void vl_tic 
          (
          )
          
        

      




See also:
vl_get_cpu_time, vl_toc. 











      

        

          double vl_toc 
          (
          )
          
        

      




The function returns the processor time elapsed since vl_tic was called last.


Remarks:
In multi-threaded applications, there is an independent timer for each execution thread.



On UNIX, this function uses the clock() system call. On Windows, it uses the QueryPerformanceCounter() system call, which is more accurate than clock() on this platform.


Returns:
elapsed time in seconds. 











      

        

          void vl_unlock_state 
          (
          )
          
        

      




The function unlocks VLFeat global state mutex.


See also:
vl_lock_state 







Variable Documentation






      

        

          VlState _vl_state
        

      




————————————————————— 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Macros  

  


generic.h File Reference
  







Generic (Preprocssor, library state, etc.)  
More...


#include "host.h"

#include "random.h"

#include <stdlib.h>

#include <stddef.h>

#include <time.h>

#include <assert.h>

#include <Windows.h>





Data Structures


struct  VlThreadSpecificState


 VLFeat thread state.  More...


struct  VlState


 VLFeat global state.  More...





Macros



#define VL_VERSION_STRING   "0.9.16"


 Library version string. 



#define VL_ERR_MSG_LEN   1024


 Maximum length (in characters) of an error message. 


Common operations


#define VL_MIN(x, y)   (((x)<(y))?(x):(y))


 Min operation.  


#define VL_MAX(x, y)   (((x)>(y))?(x):(y))


 Max operation.  


#define VL_SHIFT_LEFT(x, n)   (((n)>=0)?((x)<<(n)):((x)>>-(n)))


 Signed left shift operation.  





Functions


Memory allocation


void vl_set_alloc_func (void *(*malloc_func)(size_t), void *(*realloc_func)(void *, size_t), void *(*calloc_func)(size_t, size_t), void(*free_func)(void *))


 Set memory allocation functions.  


void * vl_malloc (size_t n)


 Call customizable malloc function.  


void * vl_realloc (void *ptr, size_t n)


 Call customizable resize function.  


void * vl_calloc (size_t n, size_t size)


 Call customizable calloc function.  


void vl_free (void *ptr)


 Call customizable free function.  


Measuring time


void vl_tic ()


 Reset processor time reference The function resets VLFeat TIC/TOC time reference.  


double vl_toc ()


 Get elapsed time since tic.  


double vl_get_cpu_time ()


 Get processor time.  





Type identidifers for atomic data types


#define VL_TYPE_FLOAT   1


#define VL_TYPE_DOUBLE   2


#define VL_TYPE_INT8   3


#define VL_TYPE_UINT8   4


#define VL_TYPE_INT16   5


#define VL_TYPE_UINT16   6


#define VL_TYPE_INT32   7


#define VL_TYPE_UINT32   8


#define VL_TYPE_INT64   9


#define VL_TYPE_UINT64   10



typedef vl_uint32 vl_type


char const * vl_get_type_name (vl_type type)


 Get the name of a data type.  


vl_size vl_get_type_size (vl_type type)


 Get data type size.  





Library state and configuration


VlState _vl_state


 VLFeat global state.  


VlState * vl_get_state ()


 Return VLFeat global state.  


VlThreadSpecificState * vl_get_thread_specific_state ()


 Get VLFeat thread state.  


void vl_lock_state ()


 Lock VLFeat state.  


void vl_unlock_state ()


 Unlock VLFeat state.  



VlThreadSpecificState * vl_thread_specific_state_new ()



void vl_thread_specific_state_delete (VlThreadSpecificState *self)


char const * vl_get_version_string ()


 Get version string.  


char * vl_configuration_to_string_copy ()


 Human readable library configuration.  


void vl_set_simd_enabled (vl_bool x)


 Toggle usage of SIMD instructions.  


vl_bool vl_get_simd_enabled ()


 Are SIMD instructons enabled?  


vl_bool vl_cpu_has_sse3 ()


 Check for SSE3 instruction set.  


vl_bool vl_cpu_has_sse2 ()


 Check for SSE2 instruction set.  



vl_size vl_get_num_cpus ()


VlRand * vl_get_rand ()


 Get the random number generator for this thread.  





Error handling


#define VL_ERR_OK   0


#define VL_ERR_OVERFLOW   1


#define VL_ERR_ALLOC   2


#define VL_ERR_BAD_ARG   3


#define VL_ERR_IO   4


#define VL_ERR_EOF   5


#define VL_ERR_NO_MORE   5


int vl_get_last_error ()


 Get VLFeat last error code.  


char const * vl_get_last_error_message ()


 Get VLFeat last error message.  


int vl_set_last_error (int error, char const *errorMessage,...)


 Set last VLFeat error.  





Logging


#define VL_PRINTF   (*vl_get_state()->printf_func)


 Call user-customizable printf function.  



#define VL_PRINT   (*vl_get_state()->printf_func)


 Same as VL_PRINTF (legacy code) 



typedef int(* printf_func_t )(char const *format,...)


 Customizable printf function pointer type. 


void vl_set_printf_func (printf_func_t printf_func)


 Set printf function.  




Detailed Description


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define VL_ERR_ALLOC   2
        

      




Resource allocation error 











      

        

          #define VL_ERR_BAD_ARG   3
        

      




Bad argument or illegal data error 











      

        

          #define VL_ERR_EOF   5
        

      




End-of-file or end-of-sequence error 











      

        

          #define VL_ERR_IO   4
        

      




Input/output error 











      

        

          #define VL_ERR_NO_MORE   5
        

      




End-of-sequence 


Deprecated:











      

        

          #define VL_ERR_OK   0
        

      




No error 











      

        

          #define VL_ERR_OVERFLOW   1
        

      




Buffer overflow error 











      

        

          #define VL_MAX
          (
           
          x, 
        

        

          
          
           
          y 
        

        

          
          )
             (((x)>(y))?(x):(y))
        

      




Parameters:

  

    
xvalue. 

    
yvalue. 

  

  




Returns:
the maximum of x and y. 











      

        

          #define VL_MIN
          (
           
          x, 
        

        

          
          
           
          y 
        

        

          
          )
             (((x)<(y))?(x):(y))
        

      




Parameters:

  

    
xvalue 

    
yvalue 

  

  




Returns:
the minimum of x and y. 











      

        

          #define VL_PRINTF   (*vl_get_state()->printf_func)
        

      




The function calls the user customizable printf. 











      

        

          #define VL_SHIFT_LEFT
          (
           
          x, 
        

        

          
          
           
          n 
        

        

          
          )
             (((n)>=0)?((x)<<(n)):((x)>>-(n)))
        

      




The macro is equivalent to the builtin << operator, but it supports negative shifts too.


Parameters:

  

    
xvalue. 

    
nnumber of shift positions. 

  

  




Returns:
x << n . 











      

        

          #define VL_TYPE_DOUBLE   2
        

      




double type 











      

        

          #define VL_TYPE_FLOAT   1
        

      




float type 











      

        

          #define VL_TYPE_INT16   5
        

      




vl_int16 type 











      

        

          #define VL_TYPE_INT32   7
        

      




vl_int32 type 











      

        

          #define VL_TYPE_INT64   9
        

      




vl_int64 type 











      

        

          #define VL_TYPE_INT8   3
        

      




vl_int8 type 











      

        

          #define VL_TYPE_UINT16   6
        

      




vl_uint16 type 











      

        

          #define VL_TYPE_UINT32   8
        

      




vl_uint32 type 











      

        

          #define VL_TYPE_UINT64   10
        

      




vl_uint64 type 











      

        

          #define VL_TYPE_UINT8   4
        

      




vl_uint8 type 







Function Documentation








  

  
      

        

          void * vl_calloc 
          (
          size_t 
          n, 
        

        

          
          
          size_t 
          size 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
nsize of each element in byte. 

    
sizesize of the array to allocate (number of elements).

  

  




The function calls the user-customizable calloc.


Returns:
result of the user-customizable calloc. 











      

        

          char* vl_configuration_to_string_copy 
          (
          )
          
        

      




Returns:
a new string with the library configuration.


The function returns a new string with a human readable rendition of the library configuration. 













  

  
      

        

          vl_bool vl_cpu_has_sse2 
          (
          )
          
        

      

  		
  
inline  
  






Returns:
true if SSE2 is present. 













  

  
      

        

          vl_bool vl_cpu_has_sse3 
          (
          )
          
        

      

  		
  
inline  
  






Returns:
true if SSE3 is present. 













  

  
      

        

          void vl_free 
          (
          void * 
          ptr)
          
        

      

  		
  
inline  
  






Parameters:

  

    
ptrbuffer to free.

  

  




The function calls the user customizable free. 











      

        

          double vl_get_cpu_time 
          (
          )
          
        

      




Returns:
processor time. 


See also:
vl_tic, vl_toc 













  

  
      

        

          int vl_get_last_error 
          (
          )
          
        

      

  		
  
inline  
  






The function returns the code of the last error generated by VLFeat.


Returns:
laste error code. 













  

  
      

        

          char const * vl_get_last_error_message 
          (
          )
          
        

      

  		
  
inline  
  






The function returns the message of the last error generated by VLFeat.


Returns:
last error message. 











      

        

          VlRand* vl_get_rand 
          (
          )
          
        

      




Returns:
random number generator.


The function returns a pointer to the random number genrator for this thread. 













  

  
      

        

          vl_bool vl_get_simd_enabled 
          (
          )
          
        

      

  		
  
inline  
  






Returns:
true is SIMD instructions are enabled. 













  

  
      

        

          VlState * vl_get_state 
          (
          )
          
        

      

  		
  
inline  
  






The function returns a pointer to VLFeat global state.


Returns:
pointer to the global state structure. 













  

  
      

        

          VlThreadSpecificState * vl_get_thread_specific_state 
          (
          )
          
        

      

  		
  
inline  
  






The function returns a pointer to VLFeat thread state.


Returns:
pointer to the thread state structure. 













  

  
      

        

          char const* vl_get_type_name 
          (
          vl_type 
          type)
          
        

      

  		
  
inline  
  






Parameters:

  

    
typedata type. 

  

  




Returns:
data name of the data type.


type is one of VL_TYPE_FLOAT, VL_TYPE_DOUBLE, VL_TYPE_INT8, VL_TYPE_INT16, VL_TYPE_INT32, VL_TYPE_INT64, VL_TYPE_UINT8, VL_TYPE_UINT16, VL_TYPE_UINT32, VL_TYPE_UINT64. 













  

  
      

        

          vl_size vl_get_type_size 
          (
          vl_type 
          type)
          
        

      

  		
  
inline  
  






Parameters:

  

    
typedata type. 

  

  




Returns:
size (in byte)


type is one of VL_TYPE_FLOAT, VL_TYPE_DOUBLE, VL_TYPE_INT8, VL_TYPE_INT16, VL_TYPE_INT32, VL_TYPE_INT64, VL_TYPE_UINT8, VL_TYPE_UINT16, VL_TYPE_UINT32, VL_TYPE_UINT64. 











      

        

          char const* vl_get_version_string 
          (
          )
          
        

      




Returns:
library version string 











      

        

          void vl_lock_state 
          (
          )
          
        

      




The function locks VLFeat global state mutex.


The mutex is recursive: locking multiple times from the same thread is a valid operations, but requires an equivalent number of calls to vl_unlock_state.


See also:
vl_unlock_state 













  

  
      

        

          void * vl_malloc 
          (
          size_t 
          n)
          
        

      

  		
  
inline  
  






Parameters:

  

    
nnumber of bytes to allocate.

  

  




The function calls the user customizable malloc.


Returns:
result of malloc 













  

  
      

        

          void * vl_realloc 
          (
          void * 
          ptr, 
        

        

          
          
          size_t 
          n 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
ptrbuffer to reallocate. 

    
nnumber of bytes to allocate.

  

  




The function calls the user-customizable realloc.


Returns:
result of the user-customizable realloc. 











      

        

          void vl_set_alloc_func 
          (
          void *(*)(size_t) 
          malloc_func, 
        

        

          
          
          void *(*)(void *, size_t) 
          realloc_func, 
        

        

          
          
          void *(*)(size_t, size_t) 
          calloc_func, 
        

        

          
          
          void(*)(void *) 
          free_func 
        

        

          
          )
          
        

      




Parameters:

  

    
malloc_funcpointer to malloc. 

    
realloc_funcpointer to realloc. 

    
calloc_funcpointer to calloc. 

    
free_funcpointer to free. 

  

  













      

        

          int vl_set_last_error 
          (
          int 
          error, 
        

        

          
          
          char const * 
          errorMessage, 
        

        

          
          
           
          ... 
        

        

          
          )
          
        

      




The function sets the code and optionally the error message of the last encountered error. errorMessage is the message format. It uses the printf convention and is followed by the format arguments. The maximum lenght of the error message is given by VL_ERR_MSG_LEN (longer messages are truncated).


Passing NULL as errorMessage sets the error message to the empty string.


Parameters:

  

    
errorerror code. 

    
errorMessageerror message format string. 

    
...format string arguments. 

  

  




Returns:
error code. 











      

        

          void vl_set_printf_func 
          (
          printf_func_t 
          printf_func)
          
        

      




Parameters:

  

    
printf_funcpointer to printf. Let print_func be NULL to disable printf. 

  

  















  

  
      

        

          void vl_set_simd_enabled 
          (
          vl_bool 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xtrue if SIMD instructions are used.

  

  




Notice that SIMD instructions are used only if the CPU model supports them. Note also that data alignment may restrict the use of such instructions.


See also:
vl_cpu_has_sse2(), vl_cpu_has_sse3(), etc. 











      

        

          void vl_tic 
          (
          )
          
        

      




See also:
vl_get_cpu_time, vl_toc. 











      

        

          double vl_toc 
          (
          )
          
        

      




The function returns the processor time elapsed since vl_tic was called last.


Remarks:
In multi-threaded applications, there is an independent timer for each execution thread.



On UNIX, this function uses the clock() system call. On Windows, it uses the QueryPerformanceCounter() system call, which is more accurate than clock() on this platform.


Returns:
elapsed time in seconds. 











      

        

          void vl_unlock_state 
          (
          )
          
        

      




The function unlocks VLFeat global state mutex.


See also:
vl_lock_state 







Variable Documentation






      

        

          VlState _vl_state
        

      










     
    

   

   
 

  
 
   
 
 

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Functions  

  


getopt_long.c File Reference
  







getopt_long - Definition  
More...


#include <stdlib.h>

#include <string.h>

#include <stdio.h>

#include "generic.h"

#include "getopt_long.h"





Functions


int getopt_long (int argc, char *const argv[], const char *optstring, const struct option *longopts, int *longindex)


 Parse long options (BSD style)  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          int getopt_long 
          (
          int 
          argc, 
        

        

          
          
          char *const 
          argv[], 
        

        

          
          
          const char * 
          optstring, 
        

        

          
          
          const struct option * 
          longopts, 
        

        

          
          
          int * 
          longindex 
        

        

          
          )
          
        

      




Parameters:

  

    
argcnumber of arguments. 

    
argvpointer to the vector of arguments. 

    
optstringlist of abbreviated options 

    
longoptslist of long options. 

    
longindexindex of current option in longopts. 

  

  




Returns:
the code of the next option.


This function extract long and short options from the argument list argv of argc entries.


A short options sequence is introduced by a single dash character -. Each short option is described by a single character in the string optstring, possibly followed by a : character to denote a (mandatory) argument of the short option. A short option with an argument cannot appear in the middle of a short option sequence, but only at the end.


A long option is introduced by a double dash –. Each long option is described by an instance of the option structure in the longopts table (the last entry must be filled with zeroes to denote the end).


Illegal options and missing arguments cause the function to skip the option and return '?'. If opterr is true (default), the function prints an error message to stderr. Finally, if optstring has a leading :, then error messages are suppressed and a missing argument causes : to be returned.


Remarks:
The function is currently not thread safe. 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Macros |
Functions |
Variables  

  


getopt_long.h File Reference
  







getopt_long  
More...


#include "generic.h"





Data Structures


struct  option


 getopt_long option  More...





Macros


#define no_argument   0


#define required_argument   1


#define optional_argument   2





Functions


int getopt_long (int argc, char *const argv[], const char *optstring, const struct option *longopts, int *longindex)


 Parse long options (BSD style)  





Variables


int opterr


int optind


int optopt


char * optarg


int optreset




Detailed Description


Author:
Andrea Vedaldi


This is a drop-in replacament of GNU getopt_long meant to be used on platforms that do not support such functionality.


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define no_argument   0
        

      




option with no argument 











      

        

          #define optional_argument   2
        

      




option with optional argument 











      

        

          #define required_argument   1
        

      




option with required argument 







Function Documentation






      

        

          int getopt_long 
          (
          int 
          argc, 
        

        

          
          
          char *const 
          argv[], 
        

        

          
          
          const char * 
          optstring, 
        

        

          
          
          const struct option * 
          longopts, 
        

        

          
          
          int * 
          longindex 
        

        

          
          )
          
        

      




Parameters:

  

    
argcnumber of arguments. 

    
argvpointer to the vector of arguments. 

    
optstringlist of abbreviated options 

    
longoptslist of long options. 

    
longindexindex of current option in longopts. 

  

  




Returns:
the code of the next option.


This function extract long and short options from the argument list argv of argc entries.


A short options sequence is introduced by a single dash character -. Each short option is described by a single character in the string optstring, possibly followed by a : character to denote a (mandatory) argument of the short option. A short option with an argument cannot appear in the middle of a short option sequence, but only at the end.


A long option is introduced by a double dash –. Each long option is described by an instance of the option structure in the longopts table (the last entry must be filled with zeroes to denote the end).


Illegal options and missing arguments cause the function to skip the option and return '?'. If opterr is true (default), the function prints an error message to stderr. Finally, if optstring has a leading :, then error messages are suppressed and a missing argument causes : to be returned.


Remarks:
The function is currently not thread safe. 







Variable Documentation






      

        

          char* optarg
        

      




argument of the current option 











      

        

          int opterr
        

      




code of the last error occured while parsing an option 











      

        

          int optind
        

      




index of the next option to process in argv 











      

        

          int optopt
        

      




current option 











      

        

          int optreset
        

      




reset flag 








     
    

   

   
 

  
 
   
 
 

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Macros |
Functions  

  


heap-def.h File Reference
  







Heap preprocessor metaprogram.  
More...


#include "host.h"

#include <assert.h>





Macros


#define VL_HEAP_array   VL_HEAP_type*


#define VL_HEAP_prefix   HeapObject


#define VL_HEAP_type   HeapType


#define VL_HEAP_array   HeapType*


#define VL_HEAP_array   HeapType const*





Functions


vl_uindex vl_heap_parent (vl_uindex index)


 Get index of parent node.  


vl_uindex vl_heap_left_child (vl_uindex index)


 Get index of left child.  


vl_uindex vl_heap_right_child (vl_uindex index)


 Get index of right child.  


VL_HEAP_type VL_HEAP_cmp (VL_HEAP_array_const array, vl_uindex indexA, vl_uindex indexB)


 Compare two heap elements.  


void VL_HEAP_swap (VL_HEAP_array array, vl_uindex indexA, vl_uindex indexB)


 Swap two heap elements.  


void VL_HEAP_up (VL_HEAP_array array, vl_size heapSize, vl_uindex index)


 Heap up operation.  


void VL_HEAP_down (VL_HEAP_array array, vl_uindex index)


 Heap down operation.  


void VL_HEAP_push (VL_HEAP_array array, vl_size *heapSize)


 Heap push operation.  


vl_uindex VL_HEAP_pop (VL_HEAP_array array, vl_size *heapSize)


 Heap pop operation.  


void VL_HEAP_update (VL_HEAP_array array, vl_size heapSize, vl_uindex index)


 Heap update operation.  




Detailed Description


Author:
Andrea Vedaldi


A heap organizes an array of objects in a priority queue. This module is a template metaprogram that defines heap operations on array of generic objects, or even generic object containers.




Overview


To use heap-def.h one must specify at least a prefix and the data type for the heap elements:


 #define VL_HEAP_prefix  my_heap


 #define VL_HEAP_type    float


 #include <vl/heap-def.h>


This code fragment defines a number of functions prefixed by VL_HEAP_prefix, such as my_heap_push (VL_HEAP_push) and my_heap_pop (VL_HEAP_pop), that implement the heap operations. These functions operate on an array that has type VL_HEAP_array. By default, this is defined to be:


 #define VL_HEAP_array VL_HEAP_type*


 #define VL_HEAP_array_const VL_HEAP_type const*


The array itself is accessed uniquely by means of two functions:


    

  • VL_HEAP_cmp, that compares two array elements. The default implementation assumes that VL_HEAP_type is numeric.
    • 

  • VL_HEAP_swap, that swaps two array elements. The default implementation assumes that VL_HEAP_type can be copied by the = operator.
    • 



The heap state is a integer numElements (of type vl_size) counting the number of elements of the array that are currently part of the heap and the content of the first numElements elements of the array. The portion of the array that constitutes the heap satisfies a certain invariant property (heap property, Technical details). From a user viewpoint, the most important consequence is that the first element of the array (the one of index 0) is also the smallest (according to VL_HEAP_cmp).


Elements are added to the heap by VL_HEAP_push and removed from the heap by VL_HEAP_pop. A push operation adds to the heap the array element immediately after the last element already in the heap (i.e. the element of index numElements) and increases the number of heap elements numElements. Elements in the heap are swapped as required in order to maintain the heap consistency. Similarly, a pop operation removes the first (smaller) element from the heap and decreases the number of heap elements numElements.


The values of nodes currently in the heap can be updated by VL_HEAP_update. Notice however that using this function requires knowing the index of the element that needs to be updated up to the swapping operations that the heap performs to maintain consistency. Typically, this requires redefining VL_HEAP_swap to keep track of such changes (General usage).



General usage


The heap container may be mapped to any type by reimplementing VL_HEAP_cmp and VL_HEAP_swap explicitly. For instance the following code redefines VL_HEAP_cmp to deal with the case in which the heap is an array of structures:


 typedef struct _S { int x ; } S ;


 int s_cmp (S const * v, vl_uindex a, vl_uindex b) {


   return v[a].x - v[b].x ;


 }


 #define VL_HEAP_prefix  s_heap


 #define VL_HEAP_type    S


 #define VL_HEAP_cmp     s_cmp


 #include <vl/heap-def.h>


In the following example, the heap itself is an arbitrary structure:


 typedef struct _H { int* array ; } H ;


 int h_cmp (H const * h, vl_uindex a, vl_uindex b) {


   return h->array[a] - h->array[b] ;


 }


 int h_swap (H * h, vl_uindex a, vl_uindex b) {


   int t = h->array[a] ;


   h->array[a] = h->array[b] ;


   h->array[b] = t ;


 }


 #define VL_HEAP_prefix  h_heap


 #define VL_HEAP_swap    h_swap


 #define VL_HEAP_cmp     h_cmp


 #include <vl/heap-def.h>



Technical details


The heap is organised as a binary tree with the property (heap property) that any node is not larger than any of its children. In particular, the root is the smallest node.


heap-def.h uses the standard binary tree representation as a linear array. Tree nodes are mapped to array elements as follows: array[0] corresponds to the root, array[1] and array[2] to the root left and right children and so on. In this way, the tree structure is fully specified by the total number of nodes N.


Assuming that the heap has N nodes (from array[0] to array[N-1]), adding the node array[N] to the heap is done by a push down operation: if the node array[N] is smaller than its parent (violating the heap property) it is pushed down by swapping it with the parent, and so on recursively.


Removing the smallest element array[0] with an heap of N nodes is done by swapping array[0] with array[N-1]. If then array[0] is larger than any of its children, it is swapped with the smallest of the two and so on recursively (push up operation).


Restoring the heap property after an element array[i] has been modified can be done by a push up or push down operation on that node. 


Macro Definition Documentation






      

        

          #define VL_HEAP_array   VL_HEAP_type*
        

      




Data type of the heap container


Const data type of the heap container 











      

        

          #define VL_HEAP_array   HeapType*
        

      




Data type of the heap container


Const data type of the heap container 











      

        

          #define VL_HEAP_array   HeapType const*
        

      




Data type of the heap container


Const data type of the heap container 











      

        

          #define VL_HEAP_prefix   HeapObject
        

      




Prefix of the heap functions 











      

        

          #define VL_HEAP_type   HeapType
        

      




Data type of the heap elements 







Function Documentation








  

  
      

        

          VL_HEAP_type VL_HEAP_cmp 
          (
          VL_HEAP_array_const 
          array, 
        

        

          
          
          vl_uindex 
          indexA, 
        

        

          
          
          vl_uindex 
          indexB 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayheap array. 

    
indexAindex of the first element A to compare. 

    
indexBindex of the second element B to comapre. 

  

  




Returns:
a negative number if A<B, 0 if A==B, and a positive number if if A>B. 













  

  
      

        

          void VL_HEAP_down 
          (
          VL_HEAP_array 
          array, 
        

        

          
          
          vl_uindex 
          index 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arraypointer to the heap node array. 

    
indexindex of the node to push up. 

  

  















  

  
      

        

          vl_uindex vl_heap_left_child 
          (
          vl_uindex 
          index)
          
        

      

  		
  
inline  
  






Parameters:

  

    
indexa node index. 

  

  




Returns:
index of the left child. 













  

  
      

        

          vl_uindex vl_heap_parent 
          (
          vl_uindex 
          index)
          
        

      

  		
  
inline  
  






Parameters:

  

    
indexa node index. 

  

  




Returns:
index of the parent node. 













  

  
      

        

          vl_uindex VL_HEAP_pop 
          (
          VL_HEAP_array 
          array, 
        

        

          
          
          vl_size * 
          heapSize 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arraypointer to the heap array. 

    
heapSize(in/out) size of the heap. 

  

  




Returns:
index of the popped element.


The function extracts from the heap the element of index 0 (the smallest element) and decreases heapSize.


The element extracted is moved as the first element after the heap end (thus it has index heapSize). For convenience, this index is returned by the function.


Popping from an empty heap is undefined. 













  

  
      

        

          void VL_HEAP_push 
          (
          VL_HEAP_array 
          array, 
        

        

          
          
          vl_size * 
          heapSize 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arraypointer to the heap array. 

    
heapSize(in/out) size of the heap.

  

  




The function adds to the heap the element of index heapSize and increments heapSize. 













  

  
      

        

          vl_uindex vl_heap_right_child 
          (
          vl_uindex 
          index)
          
        

      

  		
  
inline  
  






Parameters:

  

    
indexa node index. 

  

  




Returns:
index of the right child. 













  

  
      

        

          void VL_HEAP_swap 
          (
          VL_HEAP_array 
          array, 
        

        

          
          
          vl_uindex 
          indexA, 
        

        

          
          
          vl_uindex 
          indexB 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayarray of nodes. 

    
arrayheap array. 

    
indexAindex of the first node to swap. 

    
indexBindex of the second node to swap.

  

  




The function swaps the two heap elements a and @ b. The function uses a temporary element and the copy operator, which must be well defined for the heap elements. 













  

  
      

        

          void VL_HEAP_up 
          (
          VL_HEAP_array 
          array, 
        

        

          
          
          vl_size 
          heapSize, 
        

        

          
          
          vl_uindex 
          index 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arraypointer to the heap array. 

    
heapSizesize of the heap. 

    
indexindex of the node to push up. 

  

  















  

  
      

        

          void VL_HEAP_update 
          (
          VL_HEAP_array 
          array, 
        

        

          
          
          vl_size 
          heapSize, 
        

        

          
          
          vl_uindex 
          index 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arraypointer to the heap array. 

    
heapSizesize of the heap. 

    
indexindex of the node to update.

  

  




The function updates the heap to account for a change to the element of index index in the heap.


Notice that using this function requires knowing the index of the heap index of element that was changed. Since the heap swaps elements in the array, this is in general different from the index that that element had originally. 








     
    

   

   
 

  
 
   
 
 

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Functions  

  


hikmeans.c File Reference
  







Hierarchical Integer K-Means Clustering - Declaration.  
More...


#include <stdio.h>

#include <stdlib.h>

#include <string.h>

#include <math.h>

#include "hikmeans.h"





Functions


vl_uint8 * vl_hikm_copy_subset (vl_uint8 const *data, vl_uint *ids, int N, int M, vl_uint id, int *N2)


 Copy a subset of the data to a buffer.  


static VlHIKMNode * xmeans (VlHIKMTree *tree, vl_uint8 const *data, int N, int K, int height)


 Compute HIKM clustering.  


static void xdelete (VlHIKMNode *node)


 Delete node.  


VlHIKMTree * vl_hikm_new (int method)


 New HIKM tree.  


void vl_hikm_delete (VlHIKMTree *f)


 Delete HIKM tree.  


void vl_hikm_init (VlHIKMTree *f, int M, int K, int depth)


 Initialize HIKM tree.  


void vl_hikm_train (VlHIKMTree *f, vl_uint8 const *data, int N)


 Train HIKM tree.  


void vl_hikm_push (VlHIKMTree *f, vl_uint *asgn, vl_uint8 const *data, int N)


 Project data down HIKM tree.  




Detailed Description


Author:
Brian Fulkerson 



Andrea Vedaldi 


Function Documentation






      

        

          vl_uint8* vl_hikm_copy_subset 
          (
          vl_uint8 const * 
          data, 
        

        

          
          
          vl_uint * 
          ids, 
        

        

          
          
          int 
          N, 
        

        

          
          
          int 
          M, 
        

        

          
          
          vl_uint 
          id, 
        

        

          
          
          int * 
          N2 
        

        

          
          )
          
        

      




Parameters:

  

    
dataData 

    
idsData labels 

    
NNumber of indices 

    
MData dimensionality 

    
idLabel of data to copy 

    
N2Number of data copied (out)

  

  




Returns:
a new buffer with a copy of the selected data. 











      

        

          void vl_hikm_delete 
          (
          VlHIKMTree * 
          f)
          
        

      




Parameters:

  

    
fHIKM tree. 

  

  













      

        

          void vl_hikm_init 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K, 
        

        

          
          
          int 
          depth 
        

        

          
          )
          
        

      




Parameters:

  

    
fHIKM tree. 

    
MData dimensionality. 

    
KNumber of clusters per node. 

    
depthTree depth.

  

  




Remarks:
depth cannot be smaller than 1.


Returns:
a new HIKM tree representing the clustering. 











      

        

          VlHIKMTree* vl_hikm_new 
          (
          int 
          method)
          
        

      




Parameters:

  

    
methodclustering method. 

  

  




Returns:
new HIKM tree. 











      

        

          void vl_hikm_push 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          vl_uint * 
          asgn, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fHIKM tree. 

    
asgnPath down the tree (out). 

    
dataData to project. 

    
NNumber of data.

  

  




The function writes to asgn the path of the data data down the HIKM tree f. The parameter asgn must point to an array of M by N elements, where M is the depth of the HIKM tree and N is the number of data point to process. 











      

        

          void vl_hikm_train 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fHIKM tree. 

    
dataData to cluster. 

    
NNumber of data. 

  

  















  

  
      

        

          static void xdelete 
          (
          VlHIKMNode * 
          node)
          
        

      

  		
  
static  
  






Parameters:

  

    
nodeto delete.

  

  




The function deletes recursively node and all its descendent. 













  

  
      

        

          static VlHIKMNode* xmeans 
          (
          VlHIKMTree * 
          tree, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N, 
        

        

          
          
          int 
          K, 
        

        

          
          
          int 
          height 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
treeHIKM tree to initialize. 

    
dataData to cluster. 

    
NNumber of data points. 

    
KNumber of clusters for this node. 

    
heightTree height.

  

  




Remarks:
height cannot be smaller than 1.


Returns:
a new HIKM node representing a sub-clustering. 








     
    

   

   
 

  
 
   
 
 

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Data Structures  

  


hikmeans.h File Reference
  







Hierarchical integer K-Means clustering.  
More...


#include "generic.h"

#include "ikmeans.h"





Data Structures


struct  VlHIKMNode


 HIKM tree node.  More...


struct  VlHIKMTree


 HIKM tree.  More...





Functions


Create and destroy


VlHIKMTree * vl_hikm_new (int method)


 New HIKM tree.  


void vl_hikm_delete (VlHIKMTree *f)


 Delete HIKM tree.  


Retrieve data and parameters


int vl_hikm_get_ndims (VlHIKMTree const *f)


 Get data dimensionality.  


int vl_hikm_get_K (VlHIKMTree const *f)


 Get K.  


int vl_hikm_get_depth (VlHIKMTree const *f)


 Get depth.  


int vl_hikm_get_verbosity (VlHIKMTree const *f)


 Get verbosity level.  


int vl_hikm_get_max_niters (VlHIKMTree const *f)


 Get maximum number of iterations.  


VlHIKMNode const * vl_hikm_get_root (VlHIKMTree const *f)


 Get maximum number of iterations.  


Set parameters


void vl_hikm_set_verbosity (VlHIKMTree *f, int verb)


 Set verbosity level.  


void vl_hikm_set_max_niters (VlHIKMTree *f, int max_niters)


 Set maximum number of iterations.  


Process data


void vl_hikm_init (VlHIKMTree *f, int M, int K, int depth)


 Initialize HIKM tree.  


void vl_hikm_train (VlHIKMTree *f, vl_uint8 const *data, int N)


 Train HIKM tree.  


void vl_hikm_push (VlHIKMTree *f, vl_uint *asgn, vl_uint8 const *data, int N)


 Project data down HIKM tree.  




Detailed Description


Hierarchical Integer K-Means Clustering.


Hierarchical integer K-Means clustering (HIKM) is a simple hierarchical version of integer K-Means (IKM). The algorithm recursively applies integer K-means to create more refined partitions of the data.


Create a tree with vl_hikm_new() and delete it with vl_hikm_delete(). Use vl_hikm_train() to build the tree from training data and vl_hikm_push() to project new data down a HIKM tree.



HIKM tree


The HIKM tree is represented by a VlHIKMTree structure, which contains a tree composed of VlHIKMNode. Each node is an integer K-means filter which partitions the data into K clusters.


Author:
Brian Fulkerson 


Function Documentation






      

        

          void vl_hikm_delete 
          (
          VlHIKMTree * 
          f)
          
        

      




Parameters:

  

    
fHIKM tree. 

  

  















  

  
      

        

          int vl_hikm_get_depth 
          (
          VlHIKMTree const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

  

  




Returns:
depth. 













  

  
      

        

          int vl_hikm_get_K 
          (
          VlHIKMTree const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

  

  




Returns:
K. 













  

  
      

        

          int vl_hikm_get_max_niters 
          (
          VlHIKMTree const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

  

  




Returns:
maximum number of iterations. 













  

  
      

        

          int vl_hikm_get_ndims 
          (
          VlHIKMTree const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

  

  




Returns:
data dimensionality. 













  

  
      

        

          VlHIKMNode const * vl_hikm_get_root 
          (
          VlHIKMTree const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

  

  




Returns:
maximum number of iterations. 













  

  
      

        

          int vl_hikm_get_verbosity 
          (
          VlHIKMTree const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

  

  




Returns:
verbosity level. 











      

        

          void vl_hikm_init 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K, 
        

        

          
          
          int 
          depth 
        

        

          
          )
          
        

      




Parameters:

  

    
fHIKM tree. 

    
MData dimensionality. 

    
KNumber of clusters per node. 

    
depthTree depth.

  

  




Remarks:
depth cannot be smaller than 1.


Returns:
a new HIKM tree representing the clustering. 











      

        

          VlHIKMTree* vl_hikm_new 
          (
          int 
          method)
          
        

      




Parameters:

  

    
methodclustering method. 

  

  




Returns:
new HIKM tree. 











      

        

          void vl_hikm_push 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          vl_uint * 
          asgn, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fHIKM tree. 

    
asgnPath down the tree (out). 

    
dataData to project. 

    
NNumber of data.

  

  




The function writes to asgn the path of the data data down the HIKM tree f. The parameter asgn must point to an array of M by N elements, where M is the depth of the HIKM tree and N is the number of data point to process. 













  

  
      

        

          void vl_hikm_set_max_niters 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          int 
          max_niters 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

    
max_nitersmaximum number of iterations. 

  

  















  

  
      

        

          void vl_hikm_set_verbosity 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          int 
          verb 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fHIKM tree. 

    
verbverbosity level. 

  

  













      

        

          void vl_hikm_train 
          (
          VlHIKMTree * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fHIKM tree. 

    
dataData to cluster. 

    
NNumber of data. 

  

  










     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/hog.html000066400000000000000000000313531203326130700160530ustar00rootroot00000000000000

 
  
  
  
  
  
  
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   Documentation - C API
  

  

    
   

    
    




  


Histogram of Oriented Gradients (HOG) features 
  






Author:
Andrea Vedaldi


hog.h implements the Histogram of Oriented Gradients (HOG) features in the variants of Dalal Triggs [4] and of UOCTTI [6] . Applications include object detection and deformable object detection.




Overview


HOG is a standard image feature used, among others, in object detection and deformable object detection. It decomposes the image into square cells of a given size (typically eight pixels), compute a histogram of oriented gradient in each cell (similar to Scale Invariant Feature Transform (SIFT)), and then renormalizes the cells by looking into adjacent blocks.


VLFeat implements two HOG variants: the original one of Dalal-Triggs [4] and the one proposed in Felzenszwalb et al. [6] .


In order to use HOG, start by creating a new HOG object, set the desired parameters, pass a (color or grayscale) image, and read off the results.


VlHog * hog = vl_hog_new(VlHogVariantDalalTriggs, numOrientations, VL_FALSE) ;


vl_hog_put_image(hog, image, height, width, numChannels, cellSize) ;


hogWidth = vl_hog_get_width(hog) ;


hogHeight = vl_hog_get_height(hog) ;


hogDimenison = vl_hog_get_dimension(hog) ;


hogArray = vl_malloc(hogWidth*hogHeight*hogDimension*sizeof(float)) ;


vl_hog_extract(hog, hogArray) ;


vl_hog_delete(hog) ;


HOG is a feature array of the dimension returned by vl_hog_get_width, vl_hog_get_height, with each feature (histogram) having dimension vl_hog_get_dimension. The array is stored in row major order, with the slowest varying dimension beying the dimension indexing the histogram elements.


The number of entreis in the histogram as well as their meaning depends on the HOG variant and is detailed later. However, it is usually unnecessary to know such details. hog.h provides support for creating an inconic representation of a HOG feature array:


glyphSize = vl_hog_get_glyph_size(hog) ;


imageHeight = glyphSize * hogArrayHeight ;


imageWidth = glyphSize * hogArrayWidth ;


image = vl_malloc(sizeof(float)*imageWidth*imageHeight) ;


vl_hog_render(hog, image, hogArray) ;


It is often convenient to mirror HOG features from left to right. This can be obtained by mirroring an array of HOG cells, but the content of each cell must also be rearranged. This can be done by the permutation obtaiend by vl_hog_get_permutation.


Furthermore, hog.h suppots computing HOG features not from images but from vector fields ::vl_



Technical details


HOG divdes the input image into square cells of size cellSize, fitting as many cells as possible, filling the image domain from the upper-left corner down to the right one. For each row and column, the last cell is at least half contained in the image. More precisely, the number of cells obtained in this manner is:


hogWidth = (width + cellSize/2) / cellSize ;


hogHeight = (height + cellSize/2) / cellSize ;


Then the image gradient $ \nabla \ell(x,y) $ is computed by using central difference (for colour image the channel with the largest gradient at that pixel is used). The gradient $ \nabla \ell(x,y) $ is assigned to one of 2*numOrientations orientation in the range $ [0,2\pi) $ (see Conventions for details). Contributions are then accumulated by using bilinear interpolation to four neigbhour cells, as in Scale Invariant Feature Transform (SIFT). This results in an histogram $h_d$ of dimension 2*numOrientations, called of directed orientations since it accounts for the direction as well as the orientation of the gradient. A second histogram $h_u$ of undirected orientations of half the size is obtained by folding $ h_d $ into two.


Let a block of cell be a $ 2\times 2 $ sub-array of cells. Let the norm of a block be the $ l^2 $ norm of the stacking of the respective unoriented histogram. Given a HOG cell, four normalisation factors are then obtained as the inverse of the norm of the four blocks that contain the cell.


For the Dalal-Triggs variant, each histogram $ h_d $ is copied four times, normalised using the four different normalisation factors, the four vectors are stacked, saturated at 0.2, and finally stored as the descriptor of the cell. This results in a numOrientations * 4 dimensional cell descriptor. Blocks are visited from left to right and top to bottom when forming the final descriptor.


For the UOCCTI descriptor, the same is done for both the undirected as well as the directed orientation histograms. This would yield a dimension of 4*(2+1)*numOrientations elements, but the resulting vector is projected down to (2+1)*numOrientations elements by averaging corresponding histogram dimensions. This was shown to be an algebraic approximation of PCA for descriptors computed on natural images.


In addition, for the UOCTTI variant the l1 norm of each of the four l2 normalised undirected histograms is computed and stored as additional four dimensions, for a total of 4+3*numOrientations dimensions.



Conventions


The orientation of a gradient is expressed as the angle it forms with the horizontal axis of the image. Angles are measured clock-wise (as the vertical image axis points downards), and the null angle corresponds to an horizontal vector pointing right. The quantized directed orientations are $ \mathrm{k} \pi / \mathrm{numOrientations} $, where k is an index that varies in the ingeger range $ \{0, \dots, 2\mathrm{numOrientations} - 1\} $.


Note that the orientations capture the orientation of the gradeint; image edges would be oriented at 90 degrees from these. 



     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Functions  

  


hog.c File Reference
  







Histogram of Oriented Gradients (HOG) - Definition.  
More...


#include "hog.h"

#include "mathop.h"

#include <string.h>





Functions


VlHog * vl_hog_new (VlHogVariant variant, vl_size numOrientations, vl_bool transposed)


 Create a new HOG object.  


void vl_hog_delete (VlHog *self)


 Delete a HOG object.  


vl_size vl_hog_get_glyph_size (VlHog const *self)


 Get HOG glyph size.  


vl_index const * vl_hog_get_permutation (VlHog const *self)


 Get HOG left-right flip permutation.  


vl_bool vl_hog_get_use_bilinear_orientation_assignments (VlHog const *self)


 Set wether to use bilinear interpolation assignments.  


void vl_hog_set_use_bilinear_orientation_assignments (VlHog *self, vl_bool x)


 Get wether bilinear interpolation assignments are used.  


void vl_hog_render (VlHog const *self, float *image, float const *descriptor, vl_size width, vl_size height)


 Render a HOG descriptor to a glyph image.  


vl_size vl_hog_get_dimension (VlHog const *self)


 Get the dimension of the HOG features.  


vl_size vl_hog_get_width (VlHog *self)


 Get the width of the HOG cell array.  


vl_size vl_hog_get_height (VlHog *self)


 Get the height of the HOG cell array.  


static void vl_hog_prepare_buffers (VlHog *self, vl_size width, vl_size height, vl_size cellSize)


 Prepare internal buffers.  


void vl_hog_put_image (VlHog *self, float const *image, vl_size width, vl_size height, vl_size numChannels, vl_size cellSize)


 Process features starting from an image.  


void vl_hog_put_polar_field (VlHog *self, float const *modulus, float const *angle, vl_bool directed, vl_size width, vl_size height, vl_size cellSize)


 Process features starting from a field in polar notation.  


void vl_hog_extract (VlHog *self, float *features)


 Extract HOG features.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_hog_delete 
          (
          VlHog * 
          self)
          
        

      




Parameters:

  

    
selfHOG object to delete. 

  

  













      

        

          void vl_hog_extract 
          (
          VlHog * 
          self, 
        

        

          
          
          float * 
          features 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
featuresHOG features (output).

  

  




This method is called after vl_hog_put_image or vl_hog_put_polar_field in order to retrieve the computed HOG features. The buffer features must have the dimensions returned by vl_hog_get_width, vl_hog_get_height, and vl_hog_get_dimension. 











      

        

          vl_size vl_hog_get_dimension 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
imension of a HOG cell descriptors. 











      

        

          vl_size vl_hog_get_glyph_size 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
size (height and width) of a glyph. 











      

        

          vl_size vl_hog_get_height 
          (
          VlHog * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
number of HOG cells in the vertical direction. 











      

        

          vl_index const* vl_hog_get_permutation 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
left-right permutation.


The function returns a pointer to an array permutation of vl_hog_get_dimension elements. Given a HOG descriptor (for a cell) hog, which is also a vector of vl_hog_get_dimension elements, the descriptor obtained for the same image flipped horizotnally is given by flippedHog[i] = hog[permutation[i]]. 











      

        

          vl_bool vl_hog_get_use_bilinear_orientation_assignments 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

    
@ctrue if orientations should be assigned with bilinear interpolation. 

  

  













      

        

          vl_size vl_hog_get_width 
          (
          VlHog * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
number of HOG cells in the horizontal direction. 











      

        

          VlHog* vl_hog_new 
          (
          VlHogVariant 
          variant, 
        

        

          
          
          vl_size 
          numOrientations, 
        

        

          
          
          vl_bool 
          transposed 
        

        

          
          )
          
        

      




Parameters:

  

    
variantHOG descriptor variant. 

    
numOrientationsnumber of distinguished orientations. 

    
transposedwether images are transposed (column major). 

  

  




Returns:
the new HOG object.


The function creates a new HOG object to extract descriptors of the prescribed variant. The angular resolution is set by numOrientations, which specifies the number of undirected orientations. The object can work with column major images by setting transposed to true. 













  

  
      

        

          static void vl_hog_prepare_buffers 
          (
          VlHog * 
          self, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
selfHOG object. 

    
widthimage width. 

    
heightimage height. 

    
cellSizesize of a HOG cell. 

  

  













      

        

          void vl_hog_put_image 
          (
          VlHog * 
          self, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          numChannels, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
imageimage to process. 

    
widthimage width. 

    
heightimage height. 

    
numChannelsnumber of image channles. 

    
cellSizesize of a HOG cell.

  

  




The buffer hog must be a three-dimensional array. The first two dimensions are (width + cellSize/2)/cellSize and (height + cellSize/2)/cellSize, where divisions are integer. This is approximately width/cellSize and height/cellSize, adjusted so that the last cell is at least half contained in the image.


The image width and height must be not smaller than three pixels and not smaller than cellSize. 











      

        

          void vl_hog_put_polar_field 
          (
          VlHog * 
          self, 
        

        

          
          
          float const * 
          modulus, 
        

        

          
          
          float const * 
          angle, 
        

        

          
          
          vl_bool 
          directed, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
modulusmodulus of the vectors at each image location. 

    
angleangle of the vectors at each image location. 

    
directedwrap the angle at 2pi (directed) or pi (undirected). 

    
widthimage width. 

    
heightimage height. 

    
numChannelsnumber of image channles. 

    
cellSizesize of a HOG cell.

  

  




The function behaves like vl_hog_put_image, but foregoes the internal computation of the gradient field allowing the user to specify their own. Angles are measure clockwise (y axis pointing downwards) starting from the x axis (pointing right). 











      

        

          void vl_hog_render 
          (
          VlHog const * 
          self, 
        

        

          
          
          float * 
          image, 
        

        

          
          
          float const * 
          descriptor, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
imageglyph image (output). 

    
descriptorHOG descriptor. 

    
widthHOG descriptor width. 

    
heightHOG descriptor height.

  

  




The function renders the HOG descriptor or filter descriptor as an image (for visualization) and stores the result in the buffer image. This buffer must be an array of dimensions width*glyphSize by height*glyphSize elements, where glyphSize is obtained from vl_hog_get_glyph_size and is the size in pixels of the image element used to represent the descriptor of one HOG cell. 











      

        

          void vl_hog_set_use_bilinear_orientation_assignments 
          (
          VlHog * 
          self, 
        

        

          
          
          vl_bool 
          x 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
true if orientations are be assigned with bilinear interpolation. 








     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Functions  

  


hog.h File Reference
  







Histogram of Oriented Gradients (Histogram of Oriented Gradients (HOG) features)  
More...


#include "generic.h"





Functions


VlHog * vl_hog_new (VlHogVariant variant, vl_size numOrientations, vl_bool transposed)


 Create a new HOG object.  


void vl_hog_delete (VlHog *self)


 Delete a HOG object.  


void vl_hog_put_image (VlHog *self, float const *image, vl_size width, vl_size height, vl_size numChannels, vl_size cellSize)


 Process features starting from an image.  


void vl_hog_put_polar_field (VlHog *self, float const *modulus, float const *angle, vl_bool directed, vl_size width, vl_size height, vl_size cellSize)


 Process features starting from a field in polar notation.  


void vl_hog_extract (VlHog *self, float *features)


 Extract HOG features.  


vl_size vl_hog_get_height (VlHog *self)


 Get the height of the HOG cell array.  


vl_size vl_hog_get_width (VlHog *self)


 Get the width of the HOG cell array.  


void vl_hog_render (VlHog const *self, float *image, float const *features, vl_size width, vl_size height)


 Render a HOG descriptor to a glyph image.  


vl_size vl_hog_get_dimension (VlHog const *self)


 Get the dimension of the HOG features.  


vl_index const * vl_hog_get_permutation (VlHog const *self)


 Get HOG left-right flip permutation.  


vl_size vl_hog_get_glyph_size (VlHog const *self)


 Get HOG glyph size.  


vl_bool vl_hog_get_use_bilinear_orientation_assignments (VlHog const *self)


 Set wether to use bilinear interpolation assignments.  


void vl_hog_set_use_bilinear_orientation_assignments (VlHog *self, vl_bool x)


 Get wether bilinear interpolation assignments are used.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_hog_delete 
          (
          VlHog * 
          self)
          
        

      




Parameters:

  

    
selfHOG object to delete. 

  

  













      

        

          void vl_hog_extract 
          (
          VlHog * 
          self, 
        

        

          
          
          float * 
          features 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
featuresHOG features (output).

  

  




This method is called after vl_hog_put_image or vl_hog_put_polar_field in order to retrieve the computed HOG features. The buffer features must have the dimensions returned by vl_hog_get_width, vl_hog_get_height, and vl_hog_get_dimension. 











      

        

          vl_size vl_hog_get_dimension 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
imension of a HOG cell descriptors. 











      

        

          vl_size vl_hog_get_glyph_size 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
size (height and width) of a glyph. 











      

        

          vl_size vl_hog_get_height 
          (
          VlHog * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
number of HOG cells in the vertical direction. 











      

        

          vl_index const* vl_hog_get_permutation 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
left-right permutation.


The function returns a pointer to an array permutation of vl_hog_get_dimension elements. Given a HOG descriptor (for a cell) hog, which is also a vector of vl_hog_get_dimension elements, the descriptor obtained for the same image flipped horizotnally is given by flippedHog[i] = hog[permutation[i]]. 











      

        

          vl_bool vl_hog_get_use_bilinear_orientation_assignments 
          (
          VlHog const * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

    
@ctrue if orientations should be assigned with bilinear interpolation. 

  

  













      

        

          vl_size vl_hog_get_width 
          (
          VlHog * 
          self)
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
number of HOG cells in the horizontal direction. 











      

        

          VlHog* vl_hog_new 
          (
          VlHogVariant 
          variant, 
        

        

          
          
          vl_size 
          numOrientations, 
        

        

          
          
          vl_bool 
          transposed 
        

        

          
          )
          
        

      




Parameters:

  

    
variantHOG descriptor variant. 

    
numOrientationsnumber of distinguished orientations. 

    
transposedwether images are transposed (column major). 

  

  




Returns:
the new HOG object.


The function creates a new HOG object to extract descriptors of the prescribed variant. The angular resolution is set by numOrientations, which specifies the number of undirected orientations. The object can work with column major images by setting transposed to true. 











      

        

          void vl_hog_put_image 
          (
          VlHog * 
          self, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          numChannels, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
imageimage to process. 

    
widthimage width. 

    
heightimage height. 

    
numChannelsnumber of image channles. 

    
cellSizesize of a HOG cell.

  

  




The buffer hog must be a three-dimensional array. The first two dimensions are (width + cellSize/2)/cellSize and (height + cellSize/2)/cellSize, where divisions are integer. This is approximately width/cellSize and height/cellSize, adjusted so that the last cell is at least half contained in the image.


The image width and height must be not smaller than three pixels and not smaller than cellSize. 











      

        

          void vl_hog_put_polar_field 
          (
          VlHog * 
          self, 
        

        

          
          
          float const * 
          modulus, 
        

        

          
          
          float const * 
          angle, 
        

        

          
          
          vl_bool 
          directed, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
modulusmodulus of the vectors at each image location. 

    
angleangle of the vectors at each image location. 

    
directedwrap the angle at 2pi (directed) or pi (undirected). 

    
widthimage width. 

    
heightimage height. 

    
numChannelsnumber of image channles. 

    
cellSizesize of a HOG cell.

  

  




The function behaves like vl_hog_put_image, but foregoes the internal computation of the gradient field allowing the user to specify their own. Angles are measure clockwise (y axis pointing downwards) starting from the x axis (pointing right). 











      

        

          void vl_hog_render 
          (
          VlHog const * 
          self, 
        

        

          
          
          float * 
          image, 
        

        

          
          
          float const * 
          descriptor, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

    
imageglyph image (output). 

    
descriptorHOG descriptor. 

    
widthHOG descriptor width. 

    
heightHOG descriptor height.

  

  




The function renders the HOG descriptor or filter descriptor as an image (for visualization) and stores the result in the buffer image. This buffer must be an array of dimensions width*glyphSize by height*glyphSize elements, where glyphSize is obtained from vl_hog_get_glyph_size and is the size in pixels of the image element used to represent the descriptor of one HOG cell. 











      

        

          void vl_hog_set_use_bilinear_orientation_assignments 
          (
          VlHog * 
          self, 
        

        

          
          
          vl_bool 
          x 
        

        

          
          )
          
        

      




Parameters:

  

    
selfHOG object. 

  

  




Returns:
true if orientations are be assigned with bilinear interpolation. 








     
    

   

   
 

  
 
   
 
 

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Homogeneous kernel map 
  






Author:
Andrea Vedaldi


homkermap.h implements the homogeneous kernel maps introduced in [16] ,[17] . Such maps are efficient linear representations of popular kernels such as the intersection, $ \chij^2 $, and Jensen-Shannon ones.




Overview


The homogeneous kernel map is a finite dimensional linear approximation of homgeneous kernels, including the intersection, $ \chi^2 $, and Jensen-Shannon kernels. These kernels are ffrequently used in computer vision applications because they are particular suitable for data in the format of histograms, which encompasses many visual descriptors used.


Let $ x,y \in \mathbb{R}_+ $ be non-negative scalars and let $ k(x,y) \in \mathbb{R} $ be an homogeneous kernel such as the $ \chi^2 $ and or the intersection ones:



\[ k_{\mathrm{inters}}(x,y) = \min\{x, y\}, \quad k_{\chi^2}(x,y) = 2 \frac{(x - y)^2}{x+y}. \]



For vectorial data $ \mathbf{x},\mathbf{y} \in \mathbb{R}_+^d $, the homogeneous kernels in an additive combination $ K(\mathbf{x},\mathbf{y}) = \sum_{i=1}^d k(x_i,y_i) $.


The homogeneous kernel map of order $ n $ is a vectorial function $ \Psi(x) \in \mathbb{R}^{2n+1} $ such that, for any choice of $ x, y \in \mathbb{R}_+ $, one has



\[ k(x,y) \approx \langle \Psi(x), \Psi(y) \rangle. \]



Given the feature map for the scalar case, the corresponding feature map $ \Psi(\mathbf{x}) $ for the vectorial case is obtained by stacking $ [\Psi(x_1), \dots, \Psi(x_n)] $. Note that the combined feature $ \Psi(\mathbf{x}) $ has dimension $ d(2n+1) $.


Using linear analysis tools (e.g. a linear support vector machine) on top of dataset that has been encoded by the homogeneous kernel map is therefore approximately equivalent to using a method based on the corresponding non-linear kernel.



Extension to the negative reals


Any positive (semi-)definite kernel $ k(x,y) $ defined on the non-negative reals $ x,y \in \mathbb{R}_+ $ can be extended to the entiere real line by using the definition:



\[ k_\pm(x,y) = \operatorname{sign}(x) \operatorname{sign}(y) k(|x|,|y|). \]



The homogeneous kernel map implements this extension by defining $ \Psi_\pm(x) = \operatorname{sign}(x) \Psi(|x|) $. Note that other extensions are possible, such as



\[ k_\pm(x,y) = H(xy) \operatorname{sign}(y) k(|x|,|y|) \]



where $ H $ is the Heavyside function, but may require higher dimensional feature maps.



Homogeneity order


Any (1-)homogeneous kernel $ k_1(x,y) $ can be extended to a so called gamma-homgeneous kernel $ k_\gamma(x,y) $ by the definition



\[ k_\gamma(x,y) = (xy)^{\frac{\gamma}{2}} \frac{k_1(x,y)}{\sqrt{xy}} \]



Smaller value of $ \gamma $ enhance the kernel non-linearity and are sometimes beneficial in applications (see [1,2] for details).



Windowing and period


This section discusses aspects of the homogeneous kernel map which are more technical and may be skipped. The homogeneous kernel map approximation is based on periodicizing the kernel; given the kernel signature



\[ \Kappa(\lambda) = k(e^{\frac{\lambda}{2}}, e^{-\frac{\lambda}{2}}) \]



the homogeneous kerne map is a feature map for the windowed and periodicized kernel whose signature is given by



\[ \hat{\mathcal{K}}(\lambda) = \sum_{i=-\infty}^{+\infty} \mathcal{K}(\lambda + k \Lambda) W(\lambda + k \Lambda) \]



where $ W(\lambda) $ is a windowing function and $ \Lambda $ is the period. This implementation of the homogeneous kernel map supports the use of a uniform window ( $ W(\lambda) = 1 $) or of a rectangular window ( $ W(\lambda) = \operatorname{rect}(\lambda/\Lambda) $). Note that $ \lambda = \log(y/x) $ is equal to the logarithmic ratio of the arguments of the kernel. Empirically, the rectangular window seems to have a slight edge in applications.



Usage


The homogeneous kernel map is implemented as an object of type VlHomogeneousKernelMap. To use thois object, first create an instance by vl_homogeneouskernelmap_new, then use vl_homogeneouskernelmap_evaluate_d or vl_homogeneouskernelmap_evaluate_f (depdening on whether the data is double or float) to compute the feature map $ \Psi(x) $. When done, dispose of the object by calling vl_homogeneouskernelmap_delete.


The constructor vl_homogeneouskernelmap_new requires the kernel type kernel (see VlHomogeneousKernelType), the homogeneity order gamma (use one for the standard kernels), the approximation order order (usually order one is enough), the period period (use a negative value to use the default period), and a window type window (use VlHomogeneousKernelMapWindowRectangular if unsure). The approximation order trades off the quality and dimensionality of the approximation. The resulting feature map $ \Psi(x) $, computed by vl_homogeneouskernelmap_evaluate_d or vl_homogeneouskernelmap_evaluate_f , is 2*order+1 dimensional.


The code pre-computes the map $ \Psi(x) $ for efficient evaluation. The table spans values of $ x $ in the range $[2^{-20}, 2^{8}) $. In particular, values smaller than $ 2^{-20} $ are treated as zeroes (which result in a null feature).



Technical details


The code uses the expressions given in [16] ,[17] to compute in closed form the maps $ \Psi(x) $ for the suppoerted kernel types. For efficiency reasons, it tabulates $ \Psi(x) $ when the homogeneous kernel map object is created.


The interal table stores $ \Psi(x) \in \mathbb{R}^{2n+1} $ for $ x \geq 0 $ by sampling this variable. In particular, x is decomposed as 


  x = mantissa * (2**exponent),
  minExponent <= exponent <= maxExponent,
  1 <= matnissa < 2.

 Each octave is further subdivided in numSubdivisions sublevels.


When the map $ \Psi(x) $ is evaluated, x is decomposed back into exponent and mantissa, and the result is computed by bilinear interpolation from the appropriate table entries. 



     
    

   

   
 

  
 
   
 
 

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Functions  

  


homkermap.c File Reference
  







Homogeneous kernel map - Definition.  
More...


#include "homkermap.h"

#include "mathop.h"

#include <math.h>

#include "homkermap.c"

#include "float.th"





Functions


double vl_homogeneouskernelmap_get_spectrum (VlHomogeneousKernelMap const *self, double omega)


 Sample the kernel specturm.  


double vl_homogeneouskernelmap_get_smooth_spectrum (VlHomogeneousKernelMap const *self, double omega)


 Sample the smoothed kernel spectrum.  


VlHomogeneousKernelMap * vl_homogeneouskernelmap_new (VlHomogeneousKernelType kernelType, double gamma, vl_size order, double period, VlHomogeneousKernelMapWindowType windowType)


 Create a new homgeneous kernel map.  


void vl_homogeneouskernelmap_delete (VlHomogeneousKernelMap *self)


 Delete a map object.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_homogeneouskernelmap_delete 
          (
          VlHomogeneousKernelMap * 
          self)
          
        

      




Parameters:

  

    
selfmap object. The function deletes the specified map object. 

  

  















  

  
      

        

          double vl_homogeneouskernelmap_get_smooth_spectrum 
          (
          VlHomogeneousKernelMap const * 
          self, 
        

        

          
          
          double 
          omega 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfhomogeneous kernel map. 

    
omegasampling frequency. 

  

  




Returns:
the spectrum sampled at omega after smoothing. 













  

  
      

        

          double vl_homogeneouskernelmap_get_spectrum 
          (
          VlHomogeneousKernelMap const * 
          self, 
        

        

          
          
          double 
          omega 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfhomogeneous kernel map. 

    
omegasampling frequency. 

  

  




Returns:
the spectrum sampled at omega. 











      

        

          VlHomogeneousKernelMap* vl_homogeneouskernelmap_new 
          (
          VlHomogeneousKernelType 
          kernelType, 
        

        

          
          
          double 
          gamma, 
        

        

          
          
          vl_size 
          order, 
        

        

          
          
          double 
          period, 
        

        

          
          
          VlHomogeneousKernelMapWindowType 
          windowType 
        

        

          
          )
          
        

      




Parameters:

  

    
kernelTypetype of homogeneous kernel. 

    
gammakernel homogeneity degree. 

    
orderapproximation order. 

    
periodkernel period. 

    
windowTypetype of window used to truncate the kernel. 

  

  




Returns:
the new homogeneous kernel map.


The function intializes a new homogeneous kernel map for the specified kernel type, homogeneity degree, approximation order, period, and truncation window. See Overview for details.


The homogeneity degree gamma must be positive (the standard kernels are obtained by setting gamma to 1). When unsure, set windowType to VlHomogeneousKernelMapWindowRectangular. The period should be non-negative; specifying a negative or null value causes the function to switch to a default value.


The function returns NULL if there is not enough free memory. 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Enumerations |
Functions  

  


homkermap.h File Reference
  







Homogeneous kernel map (Homogeneous kernel map)  
More...


#include "generic.h"

#include <math.h>





Data Structures


struct  VlHomogeneousKernelMap


 Homogeneous kernel map.  More...





Enumerations


enum  VlHomogeneousKernelType { VlHomogeneousKernelIntersection =  0, 
VlHomogeneousKernelChi2, 
VlHomogeneousKernelJS
 }


 Type of kernel.  More...


enum  VlHomogeneousKernelMapWindowType { VlHomogeneousKernelMapWindowUniform =  0, 
VlHomogeneousKernelMapWindowRectangular =  1
 }


 Type of spectral windowing function.  More...





Functions


VlHomogeneousKernelMap * vl_homogeneouskernelmap_new (VlHomogeneousKernelType kernelType, double gamma, vl_size order, double period, VlHomogeneousKernelMapWindowType windowType)


 Create a new homgeneous kernel map.  


void vl_homogeneouskernelmap_delete (VlHomogeneousKernelMap *self)


 Delete a map object.  


void vl_homogeneouskernelmap_evaluate_d (VlHomogeneousKernelMap const *self, double *destination, vl_size stride, double x)


 Evaluate map.  


void vl_homogeneouskernelmap_evaluate_f (VlHomogeneousKernelMap const *self, float *destination, vl_size stride, double x)


 Evaluate map.  




Detailed Description


Author:
Andrea Vedaldi 


Enumeration Type Documentation






      

        

          enum VlHomogeneousKernelMapWindowType
        

      




Enumerator: 


VlHomogeneousKernelMapWindowUniform 

uniform window 




VlHomogeneousKernelMapWindowRectangular 

rectangular window 



















      

        

          enum VlHomogeneousKernelType
        

      




Enumerator: 


VlHomogeneousKernelIntersection 

intersection kernel 




VlHomogeneousKernelChi2 

Chi2 kernel 




VlHomogeneousKernelJS 

Jensen-Shannon kernel 















Function Documentation






      

        

          void vl_homogeneouskernelmap_delete 
          (
          VlHomogeneousKernelMap * 
          self)
          
        

      




Parameters:

  

    
selfmap object. The function deletes the specified map object. 

  

  













      

        

          vl_homogeneouskernelmap_evaluate_d 
          (
          VlHomogeneousKernelMap const * 
          self, 
        

        

          
          
          double * 
          destination, 
        

        

          
          
          vl_size 
          stride, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      




Parameters:

  

    
selfmap object. 

    
destinationoutput buffer. 

    
stridestride of the output buffer. 

    
xvalue to expand.

  

  




The function evaluates the feature map on x and stores the resulting 2*order+1 dimensional vector to destination[0], destination[stride], destination[2*stride], .... 











      

        

          vl_homogeneouskernelmap_evaluate_f 
          (
          VlHomogeneousKernelMap const * 
          self, 
        

        

          
          
          float * 
          destination, 
        

        

          
          
          vl_size 
          stride, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      




Parameters:

  

    
selfmap object. 

    
destinationoutput buffer. 

    
stridestride of the output buffer. 

    
xvalue to expand.

  

  




The function evaluates the feature map on x and stores the resulting 2*order+1 dimensional vector to destination[0], destination[stride], destination[2*stride], .... 











      

        

          VlHomogeneousKernelMap* vl_homogeneouskernelmap_new 
          (
          VlHomogeneousKernelType 
          kernelType, 
        

        

          
          
          double 
          gamma, 
        

        

          
          
          vl_size 
          order, 
        

        

          
          
          double 
          period, 
        

        

          
          
          VlHomogeneousKernelMapWindowType 
          windowType 
        

        

          
          )
          
        

      




Parameters:

  

    
kernelTypetype of homogeneous kernel. 

    
gammakernel homogeneity degree. 

    
orderapproximation order. 

    
periodkernel period. 

    
windowTypetype of window used to truncate the kernel. 

  

  




Returns:
the new homogeneous kernel map.


The function intializes a new homogeneous kernel map for the specified kernel type, homogeneity degree, approximation order, period, and truncation window. See Overview for details.


The homogeneity degree gamma must be positive (the standard kernels are obtained by setting gamma to 1). When unsure, set windowType to VlHomogeneousKernelMapWindowRectangular. The period should be non-negative; specifying a negative or null value causes the function to switch to a default value.


The function returns NULL if there is not enough free memory. 








     
    

   

   
 

  
 
   
 
 

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Macros |
Functions  

  


host.c File Reference
  







Host - Definition.  
More...


#include "host.h"

#include "generic.h"

#include <stdio.h>

#include <intrin.h>





Macros


#define HAS_CPUID





Functions


char * vl_static_configuration_to_string_copy ()


 Human readable static library configuration.  




Detailed Description


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define HAS_CPUID
        

      




————————————————————— 







Function Documentation






      

        

          char* vl_static_configuration_to_string_copy 
          (
          )
          
        

      




Returns:
a new string with the static configuration.


The string includes information about the compiler, the host, and other static configuration parameters. The string must be released by vl_free. 








     
    

   

   
 

  
 
   
 
 

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Macros |
Functions  

  


host.h File Reference
  







Host.  
More...





Macros


#define VL_YESNO(x)   ((x)?"yes":"no")


 Convert a boolean to "yes" or "no" strings.  


Configuration options


#define VL_DISABLE_THREADS


 Defined if multi-threading support is disabled.  


#define VL_DISABLE_SSE2


 Defined if SSE2 support if disabled.  


Defining functions


#define VL_EXPORT


 Declares a DLL exported symbol.  


#define VL_INLINE


 Adds appropriate inline function qualifier.  


C preprocessor helper macros


#define VL_STRINGIFY(x)   # x


 Convert the argument to a string.  


#define VL_XSTRINGIFY(x)   VL_STRINGIFY(x)


 Expand and then convert the argument to a string.  


#define VL_CAT(x, y)   x ## y


 Concatenate two arguments into a lexical unit.  


#define VL_XCAT(x, y)   VL_CAT(x,y)


 Expand and then concatenate two arguments into a lexical unit.  


#define VL_XCAT3(x, y, z)   VL_XCAT(VL_XCAT(x,y),z)


 Expand and then concatenate three arguments into a lexical unit.  


#define VL_XCAT4(x, y, z, u)   VL_XCAT(VL_XCAT3(x,y,z),u)


 Expand and then concatenate four arguments into a lexical unit.  


#define VL_XCAT5(x, y, z, u, v)   VL_XCAT(VL_XCAT4(x,y,z,u),v)


 Expand and then concatenate five arguments into a lexical unit.  


Identifying the host operating system



#define VL_OS_LINUX   1


 Defined if the host operating system is Linux. 



#define VL_OS_MACOSX   1


 Defined if the host operating system is Mac OS X. 



#define VL_OS_WIN   1


 Defined if the host operating system is Windows (32 or 64) 



#define VL_OS_WIN64   1


 Defined if the host operating system is Windows-64. 


Identifying the host threading library


#define VL_THREADS_POSIX   1


 Defiend if the host uses POISX threads.  


#define VL_THREADS_WIN   1


 Defined if the host uses Windows threads.  


Identifying the host compiler


#define VL_COMPILER_GNUC


 Defined if the host compiler is GNU C.  


#define VL_COMPILER_MSC   _MSC_VER


 Defined if the host compiler is Microsoft Visual C++.  


#define VL_COMPILER_LCC   1


 Defined if the host compiler is LCC.  


Identifying the host CPU architecture


#define VL_ARCH_IX86   300


 Defined if the host CPU is of the Intel x86 family.  


#define VL_ARCH_IA64


 Defined if the host CPU is of the Intel Architecture-64 family.  


Identifying the host data model


#define VL_COMPILER_LLP64


 Defined if the host compiler data model is LLP64.  


#define VL_COMPILER_LP64


 Defined if the host compiler data model is LP64.  


#define VL_COMPILER_ILP32


 Defined if the host compiler data model is ILP32.  


Identifying the host endianness


#define VL_ARCH_LITTLE_ENDIAN


 Defined if the host CPU is little endian.  


#define VL_ARCH_BIG_ENDIAN


 Defined if the host CPU is big endian.  


Printing the atomic data types



#define VL_FL_INT64   "I64"


 printf length flag for vl_int64 and vl_uint64. 



#define VL_FL_INT32   ""


 printf length flag for vl_int32 and vl_uint32. 



#define VL_FL_INT16   "h"


 printf length flag for vl_int16 and vl_uint16. 



#define VL_FL_INT8   "hh"


 printf length flag for vl_int8 and vl_uint8. 



#define VL_FL_INDEX   VL_FL_INT64


 printf length flag for vl_index and vl_uindex 



#define VL_FL_INDEX   VL_FL_INT32


 printf length flag for vl_index and vl_uindex 



#define VL_FMT_INDEX   VL_FL_INDEX "d"


 printf flag for vl_index 



#define VL_FMT_INTPTR   VL_FMT_INDEX


 printf flag for vl_intptr 



#define VL_FMT_UINDEX   VL_FL_INDEX "u"


 printf flag for vl_uindex 



#define VL_FMT_SIZE   VL_FMT_UINDEX


 printf flag for vl_size 



#define VL_FMT_UINTPTR   VL_FMT_UINDEX


 printf flag for vl_uintptr 


Atomic data types limits



#define VL_BIG_INT   0x7FFFFFFFL


 Largest integer (math constant) 



#define VL_SMALL_INT   (- VL_BIG_INT - 1)


 Smallest integer (math constant) 



#define VL_BIG_UINT   0xFFFFFFFFUL


 Largest unsigned integer (math constant) 





Functions


char * vl_static_configuration_to_string_copy ()


 Human readable static library configuration.  


Endianness detection and conversion


void vl_swap_host_big_endianness_8 (void *dst, void *src)


 Host <-> big endian transformation for 8-bytes value.  


void vl_swap_host_big_endianness_4 (void *dst, void *src)


 Host <-> big endian transformation for 4-bytes value.  


void vl_swap_host_big_endianness_2 (void *dst, void *src)


 Host <-> big endian transformation for 2-bytes value.  


Obtaining host info at run time



void _vl_x86cpu_info_init (VlX86CpuInfo *self)



char * _vl_x86cpu_info_to_string_copy (VlX86CpuInfo const *self)





Atomic data types



#define VL_TRUE   1


 true (1) constant 



#define VL_FALSE   0


 false (0) constant 



typedef long long vl_int64


 Signed 64-bit integer. 



typedef int vl_int32


 Signed 32-bit integer. 



typedef short vl_int16


 Signed 16-bit integer. 



typedef char vl_int8


 Signed 8-bit integer. 



typedef long long unsigned vl_uint64


 Unsigned 64-bit integer. 



typedef int unsigned vl_uint32


 Unsigned 32-bit integer. 



typedef short unsigned vl_uint16


 Unsigned 16-bit integer. 



typedef char unsigned vl_uint8


 Unsigned 8-bit integer. 



typedef int vl_int


 Same as int. 



typedef unsigned int vl_uint


 Same as unsigned int. 



typedef int vl_bool


 Boolean. 



typedef vl_int64 vl_intptr


 Integer holding a pointer. 



typedef vl_uint64 vl_uintptr


 Unsigned integer holding a pointer. 



typedef vl_uint64 vl_size


 Unsigned integer holding the size of a memory block. 



typedef vl_int64 vl_index


 Signed version of vl_size and vl_uindex. 



typedef vl_uint64 vl_uindex


 Same as vl_size. 




Detailed Description


This module provides functionalities to identify the host operating system, C compiler, and CPU architecture. It also provides a few features to abstract from such details.



See also:
http://predef.sourceforge.net/index.php



Host operating system


The module defines a symbol to identify the host operating system: VL_OS_WIN for Windows, VL_OS_LINUX for Linux, VL_OS_MACOSX for Mac OS X, and so on.



Host compiler


The module defines a symbol to identify the host compiler: VL_COMPILER_MSC for Microsoft Visual C++, VL_COMPILER_GNUC for GNU C, and so on. The (integer) value of such symbols corresponds the version of the compiler.


The module defines a symbol to identify the data model of the compiler: VL_COMPILER_ILP32, VL_COMPILER_LP64, or VL_COMPILER_LLP64 (see Sect. Data models). For convenience, it also defines a number of atomic types of prescribed width (vl_int8, vl_int16, vl_int32, etc.).


Remarks:
While some of such functionalities are provided by the standard header stdint.h, the latter is not supported by all platforms.



Data models


The C language defines a number of atomic data types (such as char, short, int and so on). The number of bits (width) used to represent each data type depends on the compiler data model. The following table summarizes the relevant conventions:



Compiler data models. The table shows how many bits are allocated to each atomic data type according to each model.


Data model short int long long long void* Compiler  



ILP32 16 32 32 64 32 common 32 bit architectures  



LP64 16 32 64 64 64 UNIX-64 (Linux, Mac OS X)  



ILP64 16 64 64 64 64 Alpha, Cray  



SLIP64 64 64 64 64 64 



LLP64 16 32 32 64 64 Windows-64  





Other compiler-specific features


The module provides the macro VL_EXPORT to declare symbols exported from the library and the macro VL_INLINE to declare inline functions. Such features are not part of the C89 standard, and change depending on the compiler.


Example:
The following header file declares a function f that should be visible from outside the library. 
 #include <vl/generic.h>


 VL_EXPORT void f () ;


 VL_EXPORT int i ;


 Notice that the macro VL_EXPORT needs not to be included again when the function is defined.


Example:
The following header file declares an inline function f: 
 #include <vl/generic.h>


 VL_INLINE int f() ;




 VL_INLINE int f() { return 1 ; }




Here the first instruction defines the function f, where the second declares it. Notice that since this is an inline function, its definition must be found in the header file rather than in an implementation file. Notice also that definition and declaration can be merged.


These macros translate according to the following tables:



Macros for exporting library symbols


Platform Macro name Value when building the library Value when importing the library  



Unix/GCC VL_EXPORT empty (assumes -visibility=hidden GCC option) __attribute__((visibility ("default")))  



Win/Visual C++ VL_EXPORT __declspec(dllexport)  __declspec(dllimport)   





Macros for declaring inline functions


Platform Macro name Value  



Unix/GCC VL_INLINE static inline  



Win/Visual C++ VL_INLINE static __inline  





Host CPU architecture


The module defines a symbol to identify the host CPU architecture: VL_ARCH_IX86 for Intel x86, VL_ARCH_IA64 for Intel 64, and so on.



Endianness


The module defines a symbol to identify the host CPU endianness: VL_ARCH_BIG_ENDIAN for big endian and VL_ARCH_LITTLE_ENDIAN for little endian. The functions vl_swap_host_big_endianness_8(), vl_swap_host_big_endianness_4(), vl_swap_host_big_endianness_2() to change the endianness of data (from/to host and network order).


Recall that endianness concerns the way multi-byte data types (such as 16, 32 and 64 bits integers) are stored into the addressable memory. All CPUs uses a contiguous address range to store atomic data types (e.g. a 16-bit integer could be assigned to the addresses 0x10001 and 0x10002), but the order may differ.


    

  • The convention is big endian, or in network order, if the most significant byte of the multi-byte data types is assigned to the smaller memory address. This is the convention used for instance by the PPC architecture.
    • 



    

  • The convention is little endian if the least significant byte is assigned to the smaller memory address. This is the convention used for instance by the x86 architecture.
    • 



Remarks:
The names “big endian” and “little endian” are a little confusing. “Big endian” means “big endian first”, i.e. the address of the most significant byte comes first. Similarly, “little endian” means “little endian first”, in the sense that the address of the least significant byte comes first.


Endianness is a concern when data is either exchanged with processors that use different conventions, transmitted over a network, or stored to a file. For the latter two cases, one usually saves data in big endian (network) order regardless of the host CPU.



Multi-threading


The file defines VL_THREADS_WIN if multi-threading support is enabled and the host supports Windows threads and VL_THREADS_POSIX if it supports POSIX threads.


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define VL_ARCH_BIG_ENDIAN
        

      




See also:
Endianness 











      

        

          #define VL_ARCH_IA64
        

      




See also:
Host CPU architecture 











      

        

          #define VL_ARCH_IX86   300
        

      




See also:
Host CPU architecture 











      

        

          #define VL_ARCH_LITTLE_ENDIAN
        

      




See also:
Endianness 











      

        

          #define VL_CAT
          (
           
          x, 
        

        

          
          
           
          y 
        

        

          
          )
             x ## y
        

      




Parameters:

  

    
xfirst argument to be concatenated. 

    
ysecond argument to be concatenated.

  

  




This macro concatenates its arguments into a single lexical unit by means of the ## preprocessor operator. Notice that arguments concatenated by ## are not pre-expanded by the C preprocessor. To macro-expand the arguments and then concatenate them,use VL_XCAT.


See also:
VL_XCAT 











      

        

          #define VL_COMPILER_GNUC
        

      



Value:
(__GNUC__ * 10000 \


+ __GNUC_MINOR__ * 100)


This macro is defined if the compiler is GNUC. Its value is calculated as 


    10000 * MAJOR + 100 * MINOR + PATCHLEVEL


 
See also:
Host compiler 











      

        

          #define VL_COMPILER_ILP32
        

      




See also:
Data models 











      

        

          #define VL_COMPILER_LCC   1
        

      




Deprecated:
The LCC is not supported anymore. 


See also:
Host compiler 











      

        

          #define VL_COMPILER_LLP64
        

      




See also:
Data models 











      

        

          #define VL_COMPILER_LP64
        

      




See also:
Data models 











      

        

          #define VL_COMPILER_MSC   _MSC_VER
        

      




See also:
Host compiler 











      

        

          #define VL_DISABLE_SSE2
        

      




Define this symbol during compliation of the library and linking to another project to disable VLFeat SSE2 support. 











      

        

          #define VL_DISABLE_THREADS
        

      




Define this symbol during compilation of the library and linking to anogher project to disable VLFeat multi-threading support. 











      

        

          #define VL_EXPORT
        

      




See also:
Other compiler-specific features 











      

        

          #define VL_INLINE
        

      




See also:
Other compiler-specific features 











      

        

          #define VL_STRINGIFY
          (
           
          x)
             # x
        

      




Parameters:

  

    
xvalue to be stringified.

  

  




This macro stringifies the argument x by means of the # prerpocessor operator.


The standard C preprocessor does not prescan arguments which are stringified, so


    #define A B


    char const * str = VL_STRINGIFY(A) ;


initializes str with a pointer to the string "A", which mihgt be unexpected. To fix this issue, you can use VL_XSTRINGIFY.


See also:
VL_XSTRINGIFY 











      

        

          #define VL_THREADS_POSIX   1
        

      




See also:
Multi-threading 











      

        

          #define VL_THREADS_WIN   1
        

      




See also:
Multi-threading 











      

        

          #define VL_XCAT
          (
           
          x, 
        

        

          
          
           
          y 
        

        

          
          )
             VL_CAT(x,y)
        

      




Parameters:

  

    
xfirst argument to be concatenated. 

    
ysecond argument to be concatenated.

  

  




This macro is the same as VL_CAT, except that the arguments are macro expanded before being concatenated.


See also:
VL_CAT 











      

        

          #define VL_XCAT3
          (
           
          x, 
        

        

          
          
           
          y, 
        

        

          
          
           
          z 
        

        

          
          )
             VL_XCAT(VL_XCAT(x,y),z)
        

      




Parameters:

  

    
xfirst argument to be concatenated. 

    
ysecond argument to be concatenated. 

    
zthird argument to be concatenated.

  

  




This macro is the same as VL_XCAT, except that it has three arguments.


See also:
VL_XCAT 











      

        

          #define VL_XCAT4
          (
           
          x, 
        

        

          
          
           
          y, 
        

        

          
          
           
          z, 
        

        

          
          
           
          u 
        

        

          
          )
             VL_XCAT(VL_XCAT3(x,y,z),u)
        

      




Parameters:

  

    
xfirst argument to be concatenated. 

    
ysecond argument to be concatenated. 

    
zthird argument to be concatenated. 

    
ufourth argument to be concatenated.

  

  




This macro is the same as VL_XCAT, except that it has four arguments.


See also:
VL_XCAT 











      

        

          #define VL_XCAT5
          (
           
          x, 
        

        

          
          
           
          y, 
        

        

          
          
           
          z, 
        

        

          
          
           
          u, 
        

        

          
          
           
          v 
        

        

          
          )
             VL_XCAT(VL_XCAT4(x,y,z,u),v)
        

      




Parameters:

  

    
xfirst argument to be concatenated. 

    
ysecond argument to be concatenated. 

    
zthird argument to be concatenated. 

    
ufourth argument to be concatenated. 

    
vfifth argument to be concatenated.

  

  




This macro is the same as VL_XCAT, except that it has five arguments.


See also:
VL_XCAT 











      

        

          #define VL_XSTRINGIFY
          (
           
          x)
             VL_STRINGIFY(x)
        

      




Parameters:

  

    
xvalue to be macro-expanded and converted.

  

  




This macro macro-expands the argument x and stringifies the result of the expansion. For instance


    #define A B


    char const * str = VL_STRINGIFY(A) ;


initializes str with a pointer to the string "B".


See also:
VL_STRINGIFY 











      

        

          #define VL_YESNO
          (
           
          x)
             ((x)?"yes":"no")
        

      




Parameters:

  

    
xboolean to convert. A pointer to either the string "yes" (if x is true) or the string "no". 

  

  




Example
    VL_PRINTF("Is x true? %s.", VL_YESNO(x))


 







Function Documentation






      

        

          char* vl_static_configuration_to_string_copy 
          (
          )
          
        

      




Returns:
a new string with the static configuration.


The string includes information about the compiler, the host, and other static configuration parameters. The string must be released by vl_free. 













  

  
      

        

          void vl_swap_host_big_endianness_2 
          (
          void * 
          dst, 
        

        

          
          
          void * 
          src 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
dstdestination 2-byte buffer. 

    
srcsource 2-byte bufffer. 

  

  




See also:
Endianness. 













  

  
      

        

          void vl_swap_host_big_endianness_4 
          (
          void * 
          dst, 
        

        

          
          
          void * 
          src 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
dstdestination 4-byte buffer. 

    
srcsource 4-byte bufffer. 

  

  




See also:
Endianness. 













  

  
      

        

          void vl_swap_host_big_endianness_8 
          (
          void * 
          dst, 
        

        

          
          
          void * 
          src 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
dstdestination 8-byte buffer. 

    
srcsource 8-byte bufffer. 

  

  




See also:
Endianness. 








     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Functions  

  


ikmeans.c File Reference
  







Integer K-Means clustering - Definition.  
More...


#include "ikmeans.h"

#include <stdlib.h>

#include <stdio.h>

#include <string.h>

#include "assert.h"

#include "ikmeans_init.tc"

#include "ikmeans_lloyd.tc"

#include "ikmeans_elkan.tc"





Functions


VlIKMFilt * vl_ikm_new (int method)


 Create a new IKM quantizer.  


void vl_ikm_delete (VlIKMFilt *f)


 Delete IKM quantizer.  


int vl_ikm_train (VlIKMFilt *f, vl_uint8 const *data, int N)


 Train clusters.  


void vl_ikm_push (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N)


 Project data to clusters.  


vl_uint vl_ikm_push_one (vl_ikm_acc const *centers, vl_uint8 const *data, int M, int K)


 Project one datum to clusters.  




Detailed Description


Author:
Brian Fulkerson 



Andrea Vedaldi 


Function Documentation






      

        

          void vl_ikm_delete 
          (
          VlIKMFilt * 
          f)
          
        

      




Parameters:

  

    
fIKM quantizer. 

  

  













      

        

          VlIKMFilt* vl_ikm_new 
          (
          int 
          method)
          
        

      




Parameters:

  

    
methodClustering algorithm.

  

  




The function allocates initializes a new IKM quantizer to operate based algorithm method.


method has values in the enumerations VlIKMAlgorithms.


Returns:
new IKM quantizer. 











      

        

          void vl_ikm_push 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint * 
          asgn, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
asgnAssignments (out). 

    
datadata. 

    
Nnumber of data (N >= 1).

  

  




The function projects the data data on the integer K-means clusters specified by the IKM quantizer f. Notice that the quantizer must be initialized. 











      

        

          vl_uint vl_ikm_push_one 
          (
          vl_ikm_acc const * 
          centers, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
centerscenters. 

    
datadatum to project. 

    
Knumber of centers. 

    
Mdimensionality of the datum.

  

  




The function projects the specified datum data on the clusters specified by the centers centers.


Returns:
the cluster index. 











      

        

          int vl_ikm_train 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
datadata. 

    
Nnumber of data (N >= 1).

  

  




Returns:
-1 if an overflow may have occurred. 








     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Data Structures |
Typedefs |
Enumerations  

  


ikmeans.h File Reference
  







Integer K-Means clustering.  
More...


#include "generic.h"

#include "random.h"





Data Structures


struct  VlIKMFilt


 IKM quantizer.  More...





Typedefs


typedef vl_int32 vl_ikm_acc





Enumerations


enum  VlIKMAlgorithms { VL_IKM_LLOYD, 
VL_IKM_ELKAN
 }


 IKM algorithms.  More...





Functions


Create and destroy


VlIKMFilt * vl_ikm_new (int method)


 Create a new IKM quantizer.  


void vl_ikm_delete (VlIKMFilt *f)


 Delete IKM quantizer.  


Process data


void vl_ikm_init (VlIKMFilt *f, vl_ikm_acc const *centers, int M, int K)


 Initialize quantizer with centers.  


void vl_ikm_init_rand (VlIKMFilt *f, int M, int K)


 Initialize quantizer with random centers.  


void vl_ikm_init_rand_data (VlIKMFilt *f, vl_uint8 const *data, int M, int N, int K)


 Initialize with centers from random data.  


int vl_ikm_train (VlIKMFilt *f, vl_uint8 const *data, int N)


 Train clusters.  


void vl_ikm_push (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N)


 Project data to clusters.  


vl_uint vl_ikm_push_one (vl_ikm_acc const *centers, vl_uint8 const *data, int M, int K)


 Project one datum to clusters.  


Retrieve data and parameters


int vl_ikm_get_ndims (VlIKMFilt const *f)


 Get data dimensionality.  


int vl_ikm_get_K (VlIKMFilt const *f)


 Get the number of centers K.  


int vl_ikm_get_verbosity (VlIKMFilt const *f)


 Get verbosity level.  


int vl_ikm_get_max_niters (VlIKMFilt const *f)


 Get maximum number of iterations.  


vl_ikm_acc const * vl_ikm_get_centers (VlIKMFilt const *f)


 Get maximum number of iterations.  


Set parameters


void vl_ikm_set_verbosity (VlIKMFilt *f, int verb)


 Set verbosity level.  


void vl_ikm_set_max_niters (VlIKMFilt *f, int max_niters)


 Set maximum number of iterations.  




Detailed Description


Integer K-means (IKM) is an implementation of K-means clustering (or Vector Quantization, VQ) for integer data. This is particularly useful for clustering large collections of visual descriptors.


Use the function vl_ikm_new() to create a IKM quantizer. Initialize the IKM quantizer with K clusters by vl_ikm_init() or similar function. Use vl_ikm_train() to train the quantizer. Use vl_ikm_push() or vl_ikm_push_one() to quantize new data.


Given data $x_1,\dots,x_N\in R^d$ and a number of clusters $K$, the goal is to find assignments $a_i\in\{1,\dots,K\},$ and centers $c_1,\dots,c_K\in R^d$ so that the expected distortion



\[ E(\{a_{i}, c_j\}) = \frac{1}{N} \sum_{i=1}^N d(x_i, c_{a_i}) \]



is minimized. Here $d(x_i, c_{a_i})$ is the distortion, i.e. the cost we pay for representing $ x_i $ by $ c_{a_i} $. IKM uses the squared distortion $d(x,y)=\|x-y\|^2_2$.



Algorithms



Initialization


Most K-means algorithms are iterative and needs an initialization in the form of an initial choice of the centers $c_1,\dots,c_K$. We include the following options:




Lloyd


The Lloyd (also known as Lloyd-Max and LBG) algorithm iteratively:


    

  • Fixes the centers, optimizing the assignments (minimizing by exhaustive search the association of each data point to the centers);
    • 

  • Fixes the assignments and optimizes the centers (by descending the distortion error function). For the squared distortion, this step is in closed form.
    • 



This algorithm is not particularly efficient because all data points need to be compared to all centers, for a complexity $O(dNKT)$, where T is the total number of iterations.



Elkan


The Elkan algorithm is an optimized variant of Lloyd. By making use of the triangle inequality, many comparisons of data points and centers are avoided, especially at later iterations. Usually 4-5 times less comparisons than Lloyd are preformed, providing a dramatic speedup in the execution time.


Author:
Brian Fulkerson 



Andrea Vedaldi 


Typedef Documentation






      

        

          typedef vl_int32 vl_ikm_acc
        

      




IKM accumulator data type 







Enumeration Type Documentation






      

        

          enum VlIKMAlgorithms
        

      




Enumerator: 


VL_IKM_LLOYD 

Lloyd algorithm 




VL_IKM_ELKAN 

Elkan algorithm 















Function Documentation






      

        

          void vl_ikm_delete 
          (
          VlIKMFilt * 
          f)
          
        

      




Parameters:

  

    
fIKM quantizer. 

  

  















  

  
      

        

          vl_ikm_acc const * vl_ikm_get_centers 
          (
          VlIKMFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

  

  




Returns:
maximum number of iterations. 













  

  
      

        

          int vl_ikm_get_K 
          (
          VlIKMFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

  

  




Returns:
number of centers K. 













  

  
      

        

          int vl_ikm_get_max_niters 
          (
          VlIKMFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

  

  




Returns:
maximum number of iterations. 













  

  
      

        

          int vl_ikm_get_ndims 
          (
          VlIKMFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

  

  




Returns:
data dimensionality. 













  

  
      

        

          int vl_ikm_get_verbosity 
          (
          VlIKMFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

  

  




Returns:
verbosity level. 











      

        

          void vl_ikm_init 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_ikm_acc const * 
          centers, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
centerscenters. 

    
Mdata dimensionality. 

    
Knumber of clusters. 

  

  













      

        

          void vl_ikm_init_rand 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
Mdata dimensionality. 

    
Knumber of clusters. 

  

  













      

        

          void vl_ikm_init_rand_data 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          N, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
datadata. 

    
Mdata dimensionality. 

    
Nnumber of data. 

    
Knumber of clusters. 

  

  













      

        

          VlIKMFilt* vl_ikm_new 
          (
          int 
          method)
          
        

      




Parameters:

  

    
methodClustering algorithm.

  

  




The function allocates initializes a new IKM quantizer to operate based algorithm method.


method has values in the enumerations VlIKMAlgorithms.


Returns:
new IKM quantizer. 











      

        

          void vl_ikm_push 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint * 
          asgn, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
asgnAssignments (out). 

    
datadata. 

    
Nnumber of data (N >= 1).

  

  




The function projects the data data on the integer K-means clusters specified by the IKM quantizer f. Notice that the quantizer must be initialized. 











      

        

          vl_uint vl_ikm_push_one 
          (
          vl_ikm_acc const * 
          centers, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
centerscenters. 

    
datadatum to project. 

    
Knumber of centers. 

    
Mdimensionality of the datum.

  

  




The function projects the specified datum data on the clusters specified by the centers centers.


Returns:
the cluster index. 













  

  
      

        

          void vl_ikm_set_max_niters 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          int 
          max_niters 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

    
max_nitersmaximum number of iterations. 

  

  















  

  
      

        

          void vl_ikm_set_verbosity 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          int 
          verb 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fIKM filter. 

    
verbverbosity level. 

  

  













      

        

          int vl_ikm_train 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
datadata. 

    
Nnumber of data (N >= 1).

  

  




Returns:
-1 if an overflow may have occurred. 








     
    

   

   
 

  
 
   
 
 

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Functions  

  


ikmeans_elkan.tc File Reference
  







Integer K-Means - Elkan Algorithm - Definition.  
More...





Functions


static unsigned long isqrt (unsigned long val)


static void vl_ikm_elkan_update_inter_dist (VlIKMFilt *f)


static void vl_ikm_init_elkan (VlIKMFilt *f)


 Helper function to initialize filter for Triangle algorithm.  


static int vl_ikm_train_elkan (VlIKMFilt *f, vl_uint8 const *data, int N)


 Elkan algorithm.  


static void vl_ikm_push_elkan (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N)


 Elkan algorithm.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation








  

  
      

        

          static unsigned long isqrt 
          (
          unsigned long 
          val)
          
        

      

  		
  
static  
  






Square root of an integer value


Author:
Jim Ulery 













  

  
      

        

          static void vl_ikm_elkan_update_inter_dist 
          (
          VlIKMFilt * 
          f)
          
        

      

  		
  
static  
  






Update inter cluster distance table. 













  

  
      

        

          static void vl_ikm_init_elkan 
          (
          VlIKMFilt * 
          f)
          
        

      

  		
  
static  
  






Parameters:

  

    
ffilter. 

  

  















  

  
      

        

          static void vl_ikm_push_elkan 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint * 
          asgn, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
fIKM quantizer. 

    
asgnAssignment of data to centers (out). 

    
dataData to quantize. 

    
NNumber of data elements. 

  

  















  

  
      

        

          static int vl_ikm_train_elkan 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
fIKM quantizer. 

    
dataData to quantize. 

    
NNumber of data elements. 

  

  










     
    

   

   
 

  
 
   
 
 

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Functions  

  


ikmeans_init.tc File Reference
  







Integer K-Means - Initialization - Definition.  
More...


#include "random.h"





Functions


static void alloc (VlIKMFilt *f, int M, int K)


 Helper function to allocate memory for an IKM quantizer.  


static void vl_ikm_init_helper (VlIKMFilt *f)


 Helper function to initialize the quantizer.  


void vl_ikm_init (VlIKMFilt *f, vl_ikm_acc const *centers, int M, int K)


 Initialize quantizer with centers.  


void vl_ikm_init_rand (VlIKMFilt *f, int M, int K)


 Initialize quantizer with random centers.  


void vl_ikm_init_rand_data (VlIKMFilt *f, vl_uint8 const *data, int M, int N, int K)


 Initialize with centers from random data.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation








  

  
      

        

          static void alloc 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
fquantizer. 

    
Mdata dimensionality. 

    
Knumber of clusters. 

  

  













      

        

          void vl_ikm_init 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_ikm_acc const * 
          centers, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
centerscenters. 

    
Mdata dimensionality. 

    
Knumber of clusters. 

  

  















  

  
      

        

          static void vl_ikm_init_helper 
          (
          VlIKMFilt * 
          f)
          
        

      

  		
  
static  
  






Parameters:

  

    
fIKM quantizer. 

  

  













      

        

          void vl_ikm_init_rand 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
Mdata dimensionality. 

    
Knumber of clusters. 

  

  













      

        

          void vl_ikm_init_rand_data 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          M, 
        

        

          
          
          int 
          N, 
        

        

          
          
          int 
          K 
        

        

          
          )
          
        

      




Parameters:

  

    
fIKM quantizer. 

    
datadata. 

    
Mdata dimensionality. 

    
Nnumber of data. 

    
Knumber of clusters. 

  

  










     
    

   

   
 

  
 
   
 
 

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Functions  

  


ikmeans_lloyd.tc File Reference
  







Integer K-Means - LLoyd Algorithm - Definition.  
More...





Functions


static void vl_ikm_init_lloyd (VlIKMFilt *f)


 Helper function to initialize a filter for Lloyd algorithm.  


static int vl_ikm_train_lloyd (VlIKMFilt *f, vl_uint8 const *data, int N)


 LLoyd algorithm.  


static void vl_ikm_push_lloyd (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N)


 LLoyd algorithm.  




Detailed Description


Author:
Brian Fulkerson 



Andrea Vedaldi 


Function Documentation








  

  
      

        

          static void vl_ikm_init_lloyd 
          (
          VlIKMFilt * 
          f)
          
        

      

  		
  
static  
  






Parameters:

  

    
ffilter. 

  

  















  

  
      

        

          static void vl_ikm_push_lloyd 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint * 
          asgn, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
fIKM quantizer. 

    
asgnAssignments (out). 

    
dataData to quantize. 

    
NNumber of data. 

  

  















  

  
      

        

          static int vl_ikm_train_lloyd 
          (
          VlIKMFilt * 
          f, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          N 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
fIKM quantizer. 

    
dataTraining data. 

    
NNumber of traning data. 

  

  










     
    

   

   
 

  
 
   
 
 

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imopv.c File Reference
  







Vectorized image operations - Definition.  
More...


#include "imopv.h"

#include "imopv_sse2.h"

#include "mathop.h"

#include "imopv.c"

#include "float.th"


Detailed Description


Author:
Andrea Vedaldi 



     
    

   

   
 

  
 
   
 
 

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imopv.h File Reference
  







Vectorized image operations.  
More...


#include "generic.h"





Macros


Image convolution flags



#define VL_PAD_BY_ZERO   (0x0 << 0)


 Pad with zeroes. 



#define VL_PAD_BY_CONTINUITY   (0x1 << 0)


 Pad by continuity. 



#define VL_PAD_MASK   (0x3)


 Padding field selector. 



#define VL_TRANSPOSE   (0x1 << 2)


 Transpose result. 





Functions


Image convolution



void vl_imconvcol_vf (float *dst, vl_size dst_stride, float const *src, vl_size src_width, vl_size src_height, vl_size src_stride, float const *filt, vl_index filt_begin, vl_index filt_end, int step, unsigned int flags)



void vl_imconvcol_vd (double *dst, vl_size dst_stride, double const *src, vl_size src_width, vl_size src_height, vl_size src_stride, double const *filt, vl_index filt_begin, vl_index filt_end, int step, unsigned int flags)


void vl_imconvcoltri_f (float *dest, vl_size destStride, float const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride, vl_size filterSize, vl_size step, int unsigned flags)


 Convolve an image along the columns with a triangular kernel.  


void vl_imconvcoltri_d (double *dest, vl_size destStride, double const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride, vl_size filterSize, vl_size step, int unsigned flags)


 Convolve an image along the columns with a triangular kernel.  


Integral image


void vl_imintegral_f (float *integral, vl_size integralStride, float const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)


 Compute integral image.  


void vl_imintegral_d (double *integral, vl_size integralStride, double const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)


 Compute integral image.  


void vl_imintegral_i32 (vl_int32 *integral, vl_size integralStride, vl_int32 const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)


 Compute integral image.  


void vl_imintegral_ui32 (vl_uint32 *integral, vl_size integralStride, vl_uint32 const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)


 Compute integral image.  


Distance transform




void vl_image_distance_transform_d (double const *image, vl_size numColumns, vl_size numRows, vl_size columnStride, vl_size rowStride, double *distanceTransform, vl_uindex *indexes, double coeff, double offset)


 Compute the distance transform of an image.  


void vl_image_distance_transform_f (float const *image, vl_size numColumns, vl_size numRows, vl_size columnStride, vl_size rowStride, float *distanceTransform, vl_uindex *indexes, float coeff, float offset)


Image smoothing




void vl_imsmooth_f (float *smoothed, vl_size smoothedStride, float const *image, vl_size width, vl_size height, vl_size stride, double sigmax, double sigmay)


 Smooth an image with a Gaussian filter.  


void vl_imsmooth_d (double *smoothed, vl_size smoothedStride, double const *image, vl_size width, vl_size height, vl_size stride, double sigmax, double sigmay)


 Smooth an image with a Gaussian filter.  


Image gradients




void vl_imgradient_polar_f (float *amplitudeGradient, float *angleGradient, vl_size gradWidthStride, vl_size gradHeightStride, float const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)


 Compute gradient amplitudes and directions of an image.  


void vl_imgradient_polar_d (double *amplitudeGradient, double *angleGradient, vl_size gradWidthStride, vl_size gradHeightStride, double const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)


 Compute gradient amplitudes and directions of an image.  



void vl_imgradient_f (float *xGradient, float *yGradient, vl_size gradWidthStride, vl_size gradHeightStride, float const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)



void vl_imgradient_d (double *xGradient, double *yGradient, vl_size gradWidthStride, vl_size gradHeightStride, double const *image, vl_size imageWidth, vl_size imageHeight, vl_size imageStride)



void vl_imgradient_polar_f_callback (float const *sourceImage, int sourceImageWidth, int sourceImageHeight, float *dstImage, int dstWidth, int dstHeight, int octave, int level, void *params)




Detailed Description


This module provides the following image operations:


    

  • Separable convolution. The function vl_imconvcol_vf() can be used to compute separable convolutions.
    • 



    

  • Convolution by a triangular kernel. The function vl_imconvcoltri_vf() is an optimized convolution routine for triangular kernels.
    • 




Remarks:
Some operations are optimized to exploit possible SIMD instructions. This requires image data to be properly aligned (typically to 16 bytes). Similalry, the image stride (the number of bytes to skip to move to the next image row), must be aligned.


Author:
Andrea Vedaldi 


Function Documentation






      

        

          vl_image_distance_transform_d 
          (
          double const * 
          image, 
        

        

          
          
          vl_size 
          numColumns, 
        

        

          
          
          vl_size 
          numRows, 
        

        

          
          
          vl_size 
          columnStride, 
        

        

          
          
          vl_size 
          rowStride, 
        

        

          
          
          double * 
          distanceTransform, 
        

        

          
          
          vl_uindex * 
          indexes, 
        

        

          
          
          double 
          coeff, 
        

        

          
          
          double 
          offset 
        

        

          
          )
          
        

      




Parameters:

  

    
imageimage. 

    
numColumnsnumber of columns of the image. 

    
numRowsnumber of rows of the image. 

    
columnStrideoffset from one column to the next. 

    
rowStrideoffset from one row to the next. 

    
distanceTransformdistance transform (out). 

    
indexesnearest neighbor indexes (in/out). 

    
coeffquadratic cost coefficient (non-negative). 

    
offsetquadratic cost offset.

  

  




The function computes the distance transform along the first dimension of the image image. Let $ I(u,v) $ be image. Its distance transfrom $ D(u,v) $ is given by:



\[ u^*(u,v) = \min_{u'} I(u',v) + \mathtt{coeff} (u' - u - \mathtt{offset})^2, \quad D(u,v) = I(u^*(u,v),v). \]



Notice that coeff must be non negative.


The function fills in the buffer distanceTransform with $ D $. This buffer must have the same size as image.


If indexes is not NULL, it must be a matrix of the same size o the image. The function interprets the value of this matrix as indexes of the pixels, i.e $ \mathtt{indexes}(u,v) $ is the index of pixel $ (u,v) $. On output, the matrix indexes contains $ \mathtt{indexes}(u^*(u,v),v) $. This information can be used to determine for each pixel $ (u,v) $ its “nearest neighbor&rdquo.


Notice that by swapping numRows and numColumns and columnStride and rowStride, the function can be made to operate along the other image dimension. Specifically, to compute the distance transform along columns and rows, call the functinon twice:


      for (i = 0 ; i < numColumns * numRows ; ++i) indexes[i] = i ;


      vl_image_distance_transform_d(image,numColumns,numRows,1,numColumns,


                                    distanceTransform,indexes,u_coeff,u_offset) ;


      vl_image_distance_transform_d(distanceTransform,numRows,numColumns,numColumns,1,


                                    distanceTransform,indexes,u_coeff,u_offset) ;


Algorithm


The function implements the algorithm described in: P. F. Felzenszwalb and D. P. Huttenlocher, Distance Transforms of Sampled Functions, Technical Report, Cornell University, 2004.


Since the algorithm operates along one dimension per time, consider the 1D version of the problem for simplicity:



\[ d(y) = \min_{x} g(y;x), \quad g(y;x) = f(x) + \alpha (y - x - \beta)^2, \quad x,y \in \{0,1,\dots,N-1\}. \]



Hence the distance transform $ d(y) $ is the lower envelope of the family of parabolas $ g(y;x) $ indexed by $ x $. Notice that all parabolas have the same curvature and that their centers are located at $ x + \beta, $ $ x=0,\dots,N-1 $. The algorithm considers one parabola per time, from left to right, and finds the interval for which the parabola belongs to the lower envelope (if any).


Initially, only the leftmost parabola $ g(y;0) $ has been considered, and its validity interval is $(-\infty, \infty) $. Then the second parabola $ g(y;1) $ is considered. As long as $ \alpha > 0 $, the two parabolas $ g(y;0),\ g(y;1) $ intersect at a unique point $ \bar y $. Then the first parabola belongs to the envelope in the interval $ (-\infty, \bar y] $ and the second one in the interval $ (\bar y, +\infty] $. When the third parabola $ g(y;2) $ is considered, the intersection point $ \hat y $ with the previously added parabola $ g(y;1) $ is found. Now two cases may arise:


    

  • $ \hat y > \bar y $, in which case all three parabolas belong to the envelope in the intervals $ (-\infty,\bar y], (\bar y, \hat y], (\hat y, +\infty] $.
    • 



    

  • $ \hat y \leq \bar y $, in which case the second parabola $ g(y;1) $ has no point beloning to the envelope, and it is removed. One then remains with the two parabolas $ g(y;0),\ g(y;2) $ and the algorithm is re-iterated.
    • 



The algorithm proceeds in this fashion. Every time a new parabola is considered, its intersection point with the previously added parabola on the left is computed, and that parabola is potentially removed. The cost of an iteration is 1 plus the number of deleted parabolas. Since there are $ N $ iterations and at most $ N $ parabolas to delete overall, the complexity is linear, i.e. $ O(N) $. 











      

        

          vl_image_distance_transform_f 
          (
          float const * 
          image, 
        

        

          
          
          vl_size 
          numColumns, 
        

        

          
          
          vl_size 
          numRows, 
        

        

          
          
          vl_size 
          columnStride, 
        

        

          
          
          vl_size 
          rowStride, 
        

        

          
          
          float * 
          distanceTransform, 
        

        

          
          
          vl_uindex * 
          indexes, 
        

        

          
          
          float 
          coeff, 
        

        

          
          
          float 
          offset 
        

        

          
          )
          
        

      




See also:
vl_image_distance_transform_d 











      

        

          vl_imconvcoltri_d 
          (
          double * 
          dest, 
        

        

          
          
          vl_size 
          destStride, 
        

        

          
          
          double const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride, 
        

        

          
          
          vl_size 
          filterSize, 
        

        

          
          
          vl_size 
          step, 
        

        

          
          
          int unsigned 
          flags 
        

        

          
          )
          
        

      




Parameters:

  

    
destdestination image. 

    
destStridedestination image stride. 

    
imageimage to convolve. 

    
imageWidthwidth of the image. 

    
imageHeightheight of the image. 

    
imageStridewidth of the image including padding. 

    
filterSizesize of the triangular filter. 

    
stepsub-sampling step. 

    
flagsoperation modes.

  

  




The function convolves the columns of the image image with the triangular kernel



\[ k(t) = \frac{1}{\Delta^2} \max\{ \Delta - |t|, 0 \}, \quad t \in \mathbb{Z} \]



The paramter $ \Delta $, equal to the function argument filterSize, controls the width of the kernel. Notice that the support of $ k(x) $ as a continuous function of $ x $ is the open interval $ (-\Delta,\Delta) $, which has length $ 2\Delta $. However, $ k(x) $ restricted to the ingeter domain $ x \in \mathcal{Z} $ has support $ \{ -\Delta + 1, \Delta +2, \dots, \Delta-1 \} $, which counts $ 2 \Delta - 1 $ elements only. In particular, the discrete kernel is symmetric about the origin for all values of $ \Delta $.


The normalization factor $ 1 / \Delta^2 $ guaratnees that the filter is normalized to one, i.e.:



\[ \sum_{t=-\infty}^{+\infty} k(t) = 1 \]



Algorithm


The function exploits the fact that convolution by a triangular kernel can be expressed as the repeated convolution by a rectangular kernel, and that the latter can be performed in time indepenedent on the fiter width by using an integral-image type trick. Overall, the algorithm complexity is independent on the parameter filterSize and linear in the nubmer of image pixels.


See also:
::vl_imconvcol_vd for details on the meaning of the other parameters. 











      

        

          vl_imconvcoltri_f 
          (
          float * 
          dest, 
        

        

          
          
          vl_size 
          destStride, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride, 
        

        

          
          
          vl_size 
          filterSize, 
        

        

          
          
          vl_size 
          step, 
        

        

          
          
          int unsigned 
          flags 
        

        

          
          )
          
        

      




See also:
vl_imconvcoltri_d() 











      

        

          vl_imgradient_polar_d 
          (
          double * 
          amplitudeGradient, 
        

        

          
          
          double * 
          angleGradient, 
        

        

          
          
          vl_size 
          gradWidthStride, 
        

        

          
          
          vl_size 
          gradHeightStride, 
        

        

          
          
          double const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride 
        

        

          
          )
          
        

      




Parameters:

  

    
amplitudeGradientPointer to amplitude gradient plane 

    
angleGradientPointer to angle gradient plane 

    
gradWidthStrideWidth of the gradient plane including padding 

    
gradHeightStrideHeight of the gradient plane including padding 

    
srcPointer to the source image 

    
imageWidthSource image width 

    
imageHeightSource image height 

    
imageStrideWidth of the source image including padding.

  

  




This functions computes the amplitudes and angles of input image gradient.


Gradient is computed simple by gradient kernel $ (-1 ~ 1) $, $ (-1 ~ 1)^T $ for border pixels and with sobel filter kernel $ (-0.5 ~ 0 ~ 0.5) $, $ (-0.5 ~ 0 ~ 0.5)^T $ otherwise on the input image image yielding x-gradient $ dx $, stored in xGradient and y-gradient $ dy $, stored in yGradient, respectively.


The amplitude of the gradient, stored in plane amplitudeGradient, is then calculated as $ \sqrt(dx^2+dy^2) $ and the angle of the gradient, stored in angleGradient is $ atan(\frac{dy}{dx}) $ normalised into interval 0 and $ 2\pi $.


This function also allows to process only part of the input image defining the imageStride as original image width and width as width of the sub-image.


Also it allows to easily align the output data by definition of the gradWidthStride and gradHeightStride . 











      

        

          vl_imgradient_polar_f 
          (
          float * 
          amplitudeGradient, 
        

        

          
          
          float * 
          angleGradient, 
        

        

          
          
          vl_size 
          gradWidthStride, 
        

        

          
          
          vl_size 
          gradHeightStride, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride 
        

        

          
          )
          
        

      




See also:
vl_imgradient_polar_f 











      

        

          vl_imintegral_d 
          (
          double * 
          integral, 
        

        

          
          
          vl_size 
          integralStride, 
        

        

          
          
          double const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride 
        

        

          
          )
          
        

      




Parameters:

  

    
integralintegral image. 

    
integralStrideintegral image stride. 

    
imagesource image. 

    
imageWidthsource image width. 

    
imageHeightsource image height. 

    
imageStridesource image stride.

  

  




Let $ I(x,y), (x,y) \in [0, W-1] \times [0, H-1] $. The function computes the integral image $ J(x,y) $ of $ I(x,g) $:



\[ J(x,y) = \sum_{x'=0}^{x} \sum_{y'=0}^{y} I(x',y') \]



The integral image $ J(x,y) $ can be used to compute quickly the integral of of $ I(x,y) $ in a rectangular region $ R = [x',x'']\times[y',y''] $:



\[ \sum_{(x,y)\in[x',x'']\times[y',y'']} I(x,y) = (J(x'',y'') - J(x'-1, y'')) - (J(x'',y'-1) - J(x'-1,y'-1)). \]



Note that the order of operations is important when the integral image has an unsigned data type (e.g. vl_uint32). The formula is easily derived as follows:



\begin{eqnarray*} \sum_{(x,y)\in R} I(x,y) &=& \sum_{x=x'}^{x''} \sum_{y=y'}^{y''} I(x,y)\\ &=& \sum_{x=0}^{x''} \sum_{y=y'}^{y''} I(x,y) - \sum_{x=0}^{x'-1} \sum_{y=y'}^{y''} I(x,y)\\ &=& \sum_{x=0}^{x''} \sum_{y=0}^{y''} I(x,y) - \sum_{x=0}^{x''} \sum_{y=0}^{y'-1} I(x,y) - \sum_{x=0}^{x'-1} \sum_{y=0}^{y''} I(x,y) + \sum_{x=0}^{x'-1} \sum_{y=0}^{y'-1} I(x,y)\\ &=& J(x'',y'') - J(x'-1,y'') - J(x'',y'-1) + J(x'-1,y'-1). \end{eqnarray*}


 









      

        

          vl_imintegral_f 
          (
          float * 
          integral, 
        

        

          
          
          vl_size 
          integralStride, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride 
        

        

          
          )
          
        

      




See also:
vl_imintegral_d. 











      

        

          vl_imintegral_i32 
          (
          vl_int32 * 
          integral, 
        

        

          
          
          vl_size 
          integralStride, 
        

        

          
          
          vl_int32 const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride 
        

        

          
          )
          
        

      




See also:
vl_imintegral_d. 











      

        

          vl_imintegral_ui32 
          (
          vl_uint32 * 
          integral, 
        

        

          
          
          vl_size 
          integralStride, 
        

        

          
          
          vl_uint32 const * 
          image, 
        

        

          
          
          vl_size 
          imageWidth, 
        

        

          
          
          vl_size 
          imageHeight, 
        

        

          
          
          vl_size 
          imageStride 
        

        

          
          )
          
        

      




See also:
vl_imintegral_d. 











      

        

          vl_imsmooth_d 
          (
          double * 
          smoothed, 
        

        

          
          
          vl_size 
          smoothedStride, 
        

        

          
          
          double const * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          stride, 
        

        

          
          
          double 
          sigmax, 
        

        

          
          
          double 
          sigmay 
        

        

          
          )
          
        

      




Parameters:

  

    
smoothed

    
smoothedStride

    
image

    
width

    
height

    
stride

    
sigmax

    
sigmay

  

  













      

        

          vl_imsmooth_f 
          (
          float * 
          smoothed, 
        

        

          
          
          vl_size 
          smoothedStride, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          stride, 
        

        

          
          
          double 
          sigmax, 
        

        

          
          
          double 
          sigmay 
        

        

          
          )
          
        

      




See also:
vl_imsmooth_d 








     
    

   

   
 

  
 
   
 
 

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imopv_sse2.c File Reference
  







Vectorized image operations - SSE2 - Definition.  
More...


#include <emmintrin.h>

#include "imopv.h"

#include "imopv_sse2.h"

#include "imopv_sse2.c"


Detailed Description


Author:
Andrea Vedaldi 



     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  


imopv_sse2.h File Reference
  







Vectorized image operations - SSE2.  
More...


#include "generic.h"


Detailed Description


Author:
Andrea Vedaldi 



     
    

   

   
 

  
 
   
 
 

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VLFeat -- Vision Lab Features Library 
  






Version:
0.9.16 


Author:
The VLFeat Team 


Copyright © 2007-12 Andrea Vedaldi and Brian Fulkerson


VLFeat C library contains implementations of common computer vision algorithms, with a special focus on visual features for matching image regions. Applications include structure from motion and object and category detection and recognition.


We strive to make the library free of clutter, portable (VLFeat is largely C-89 compatible), and self- documented. Different parts of the library are weakly interdependent, simplifying understanding and extraction of code.



Contents




     
    

   

   
 

  
 
   
 
 

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KD-trees and forests 
  






Author:
Andrea Vedaldi


kdtree.h implements a KD-tree object, a data structure that can efficiently index moderately dimensional vector spaces. Both best-bin-first [3] and randomized KD-tree forests are implemented [13] ,[11] . Applications include fast matching of feature descriptors.




Overview


To create a VlKDForest object use vl_kdforest_new specifying the dimensionality of the data and the number of trees in the forest. With one tree only, the algorithm is analogous to [3] (best-bin KDTree). Multiple trees correspond to the randomized KDTree forest as in [13] ,[11] .


To let the KD-tree index some data use vl_kdforest_build. Note that for efficiency KD-tree does not copy the data but retains a pointer to it. Therefore the data must exist (and not change) until the KD-tree is deleted. To delete the KD-tree object, use vl_kdforest_delete.


To find the N nearest neighbors to a query point use vl_kdforest_query. To set a maximum number of comparisons per query and calculate approximate nearest neighbors use vl_kdforest_set_max_num_comparisons.



Technical details


VlKDForest implements the best-bin-first kd-tree of [3] .


Construction. Given a set of points $ x_1,\dots,x_n \in \mathbb{R}^d $, the algorithm recursively partitions the d dimensional Euclidean space $ \mathbb{R}^d $ into (hyper-) rectangles.


Partitions are organized into a binary tree with the root corresponding to the whole space $ \mathbb{R}^d $. The algorithm refines each partition by dividing it into two halves by thresholding along a given dimension. Both the splitting dimension and the threshold are determined as a statistic of the data points contained in the partition. The splitting dimension is the one which has largest sample variance and the splitting threshold is either the sample mean or the median. Leaves are atomic partitions and they contain a list of zero or more data points (typically one).


Querying. Querying amounts to finding the N data points closer to a given query point $ x_q \in \mathbb{R}^d $. This is done by branch-and-bound. A search state is an active partition (initially the root) and it is weighed by the lower bound on the distance of any point in the partition and the query point. Such a lower bound is trivial to compute because partitions are hyper-rectangles. 



     
    

   

   
 

  
 
   
 
 

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Functions  

  


kdtree.c File Reference
  







KD-tree - Definition.  
More...


#include "kdtree.h"

#include "generic.h"

#include "random.h"

#include "mathop.h"

#include <stdlib.h>

#include "heap-def.h"





Functions


static vl_uindex vl_kdtree_node_new (VlKDTree *tree, vl_uindex parentIndex)


 Allocate a new node from the tree pool.  


int vl_kdtree_compare_index_entries (void const *a, void const *b)


 Compare KDTree index entries for sorting.  


static void vl_kdtree_build_recursively (VlKDForest *forest, VlKDTree *tree, vl_uindex nodeIndex, vl_uindex dataBegin, vl_uindex dataEnd, unsigned int depth)


 Build KDTree recursively.  


VlKDForest * vl_kdforest_new (vl_type dataType, vl_size dimension, vl_size numTrees)


 Create new KDForest object.  


void vl_kdforest_delete (VlKDForest *self)


 Delete KDForest object.  


void vl_kdforest_build (VlKDForest *self, vl_size numData, void const *data)


 Build KDTree from data.  


vl_uindex vl_kdforest_query_recursively (VlKDForest *self, VlKDTree *tree, vl_uindex nodeIndex, VlKDForestNeighbor *neighbors, vl_size numNeighbors, vl_size *numAddedNeighbors, double dist, void const *query)


static void vl_kdtree_calc_bounds_recursively (VlKDTree *tree, vl_uindex nodeIndex, double *searchBounds)


 Compute tree bounds recursively.  


vl_size vl_kdforest_query (VlKDForest *self, VlKDForestNeighbor *neighbors, vl_size numNeighbors, void const *query)


 Query operation.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_kdforest_build 
          (
          VlKDForest * 
          self, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          void const * 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKDTree object 

    
numDatanumber of data points. 

    
datapointer to the data.

  

  




The function builds the KDTree by processing the data data. For efficiency, KDTree does not copy the data, but retains a pointer to it. Therefore the data must survive (and not change) until the KDTree is deleted. 











      

        

          void vl_kdforest_delete 
          (
          VlKDForest * 
          self)
          
        

      




Parameters:

  

    
selfKDForest object to delete 

  

  




See also:
vl_kdforest_new 











      

        

          VlKDForest* vl_kdforest_new 
          (
          vl_type 
          dataType, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numTrees 
        

        

          
          )
          
        

      




Parameters:

  

    
dataTypetype of data (VL_TYPE_FLOAT or VL_TYPE_DOUBLE) 

    
dimensiondata dimensionality. 

    
numTreesnumber of trees in the forest. 

  

  




Returns:
new KDForest. 











      

        

          vl_size vl_kdforest_query 
          (
          VlKDForest * 
          self, 
        

        

          
          
          VlKDForestNeighbor * 
          neighbors, 
        

        

          
          
          vl_size 
          numNeighbors, 
        

        

          
          
          void const * 
          query 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKDTree object instance. 

    
neighborslist of nearest neighbors found (output). 

    
numNeighborsnumber of nearest neighbors to find. 

    
queryquery point. 

  

  




Returns:
number of tree leaves visited.


A neighbor is represented by an instance of the structure VlKDForestNeighbor. Each entry contains the index of the neighbor (this is an index into the KDTree data) and its distance to the query point. Neighbors are sorted by increasing distance. 











      

        

          vl_uindex vl_kdforest_query_recursively 
          (
          VlKDForest * 
          self, 
        

        

          
          
          VlKDTree * 
          tree, 
        

        

          
          
          vl_uindex 
          nodeIndex, 
        

        

          
          
          VlKDForestNeighbor * 
          neighbors, 
        

        

          
          
          vl_size 
          numNeighbors, 
        

        

          
          
          vl_size * 
          numAddedNeighbors, 
        

        

          
          
          double 
          dist, 
        

        

          
          
          void const * 
          query 
        

        

          
          )
          
        

      















  

  
      

        

          static void vl_kdtree_build_recursively 
          (
          VlKDForest * 
          forest, 
        

        

          
          
          VlKDTree * 
          tree, 
        

        

          
          
          vl_uindex 
          nodeIndex, 
        

        

          
          
          vl_uindex 
          dataBegin, 
        

        

          
          
          vl_uindex 
          dataEnd, 
        

        

          
          
          unsigned int 
          depth 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
forestforest to which the tree belongs. 

    
treetree being built. 

    
nodeIndexnode to process. 

    
dataBeginbegin of data for this node. 

    
dataEndend of data for this node. 

    
depthdepth of this node. 

  

  















  

  
      

        

          static void vl_kdtree_calc_bounds_recursively 
          (
          VlKDTree * 
          tree, 
        

        

          
          
          vl_uindex 
          nodeIndex, 
        

        

          
          
          double * 
          searchBounds 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
treeKDTree object instance. 

    
nodeIndexnode index to start from. 

    
searchBounds2 x numDimension array of bounds. 

  

  















  

  
      

        

          int vl_kdtree_compare_index_entries 
          (
          void const * 
          a, 
        

        

          
          
          void const * 
          b 
        

        

          
          )
          
        

      

  		
  
inline  
  

















  

  
      

        

          static vl_uindex vl_kdtree_node_new 
          (
          VlKDTree * 
          tree, 
        

        

          
          
          vl_uindex 
          parentIndex 
        

        

          
          )
          
        

      

  		
  
static  
  












     
    

   

   
 

  
 
   
 
 

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Data Structures |
Enumerations  

  


kdtree.h File Reference
  







KD-tree (KD-trees and forests)  
More...


#include "generic.h"

#include "mathop.h"





Data Structures


struct  VlKDForestNeighbor


 Neighbor of a query point.  More...


struct  VlKDForest


 KDForest object.  More...





Enumerations


enum  VlKDTreeThresholdingMethod 


 Thresholding method. 





Functions


Creatind and disposing


VlKDForest * vl_kdforest_new (vl_type dataType, vl_size dimension, vl_size numTrees)


 Create new KDForest object.  


void vl_kdforest_delete (VlKDForest *self)


 Delete KDForest object.  


Building and querying


void vl_kdforest_build (VlKDForest *self, vl_size numData, void const *data)


 Build KDTree from data.  


vl_size vl_kdforest_query (VlKDForest *self, VlKDForestNeighbor *neighbors, vl_size numNeighbors, void const *query)


 Query operation.  


Retrieving and setting parameters


vl_size vl_kdforest_get_depth_of_tree (VlKDForest const *self, vl_uindex treeIndex)


 Get the detph of a given tree.  


vl_size vl_kdforest_get_num_nodes_of_tree (VlKDForest const *self, vl_uindex treeIndex)


 Get the number of nodes of a given tree.  


vl_size vl_kdforest_get_num_trees (VlKDForest const *self)


 Get the number of trees in the forest.  


vl_size vl_kdforest_get_data_dimension (VlKDForest const *self)


 Get the dimension of the data.  


vl_type vl_kdforest_get_data_type (VlKDForest const *self)


 Get the data type.  


void vl_kdforest_set_max_num_comparisons (VlKDForest *self, vl_size n)


 Set the maximum number of comparisons for a search.  


vl_size vl_kdforest_get_max_num_comparisons (VlKDForest *self)


 Get the maximum number of comparisons for a search.  


void vl_kdforest_set_thresholding_method (VlKDForest *self, VlKDTreeThresholdingMethod method)


 Set the thresholding method.  


VlKDTreeThresholdingMethod vl_kdforest_get_thresholding_method (VlKDForest const *self)


 Get the thresholding method.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_kdforest_build 
          (
          VlKDForest * 
          self, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          void const * 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKDTree object 

    
numDatanumber of data points. 

    
datapointer to the data.

  

  




The function builds the KDTree by processing the data data. For efficiency, KDTree does not copy the data, but retains a pointer to it. Therefore the data must survive (and not change) until the KDTree is deleted. 











      

        

          void vl_kdforest_delete 
          (
          VlKDForest * 
          self)
          
        

      




Parameters:

  

    
selfKDForest object to delete 

  

  




See also:
vl_kdforest_new 













  

  
      

        

          vl_size vl_kdforest_get_data_dimension 
          (
          VlKDForest const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

  

  




Returns:
dimension of the data. 













  

  
      

        

          vl_type vl_kdforest_get_data_type 
          (
          VlKDForest const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

  

  




Returns:
data type (one of VL_TYPE_FLOAT, VL_TYPE_DOUBLE). 













  

  
      

        

          vl_size vl_kdforest_get_depth_of_tree 
          (
          VlKDForest const * 
          self, 
        

        

          
          
          vl_uindex 
          treeIndex 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

    
treeIndexindex of the tree. 

  

  




Returns:
number of trees. 













  

  
      

        

          vl_size vl_kdforest_get_max_num_comparisons 
          (
          VlKDForest * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

  

  




Returns:
maximum number of leaves.


See also:
vl_kdforest_set_max_num_comparisons. 













  

  
      

        

          vl_size vl_kdforest_get_num_nodes_of_tree 
          (
          VlKDForest const * 
          self, 
        

        

          
          
          vl_uindex 
          treeIndex 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

    
treeIndexindex of the tree. 

  

  




Returns:
number of trees. 













  

  
      

        

          vl_size vl_kdforest_get_num_trees 
          (
          VlKDForest const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

  

  




Returns:
number of trees. 













  

  
      

        

          VlKDTreeThresholdingMethod vl_kdforest_get_thresholding_method 
          (
          VlKDForest const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

  

  




Returns:
thresholding method.


See also:
vl_kdforest_set_thresholding_method 











      

        

          VlKDForest* vl_kdforest_new 
          (
          vl_type 
          dataType, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numTrees 
        

        

          
          )
          
        

      




Parameters:

  

    
dataTypetype of data (VL_TYPE_FLOAT or VL_TYPE_DOUBLE) 

    
dimensiondata dimensionality. 

    
numTreesnumber of trees in the forest. 

  

  




Returns:
new KDForest. 











      

        

          vl_size vl_kdforest_query 
          (
          VlKDForest * 
          self, 
        

        

          
          
          VlKDForestNeighbor * 
          neighbors, 
        

        

          
          
          vl_size 
          numNeighbors, 
        

        

          
          
          void const * 
          query 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKDTree object instance. 

    
neighborslist of nearest neighbors found (output). 

    
numNeighborsnumber of nearest neighbors to find. 

    
queryquery point. 

  

  




Returns:
number of tree leaves visited.


A neighbor is represented by an instance of the structure VlKDForestNeighbor. Each entry contains the index of the neighbor (this is an index into the KDTree data) and its distance to the query point. Neighbors are sorted by increasing distance. 













  

  
      

        

          void vl_kdforest_set_max_num_comparisons 
          (
          VlKDForest * 
          self, 
        

        

          
          
          vl_size 
          n 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

    
nmaximum number of leaves.

  

  




This function sets the maximum number of comparisons for a nearest neighbor search. Setting it to 0 means unbounded comparisons.


See also:
vl_kdforest_query, vl_kdforest_get_max_num_comparisons. 













  

  
      

        

          void vl_kdforest_set_thresholding_method 
          (
          VlKDForest * 
          self, 
        

        

          
          
          VlKDTreeThresholdingMethod 
          method 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKDForest object. 

    
methodone of VlKDTreeThresholdingMethod.

  

  




See also:
vl_kdforest_get_thresholding_method 








     
    

   

   
 

  
 
   
 
 

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K-means clustering 
  






Author:
Andrea Vedaldi


kmeans.h implements a number of algorithm for k-means quantisation. It supports


    

  • data of type float or double;
    • 

  • l1 and l2 distances;
    • 

  • random selection and k-means++ [2] initialization methods;
    • 

  • the basic Lloyd [7] and the accelerated Elkan [5] optimization methods.
    • 




Usage


To use kmeans.h to learn clusters from some training data, instantiate a VlKMeans object, set the configuration parameters, initialise the cluster centers, and run the trainig code. For instance, to learn numCenters clusters from numData vectors of dimension dimension and storage type float using L2 distance and at most 100 Lloyd iterations of the Lloyd algorithm use:


#include <vl/kmeans.h>




VlKMeansAlgorithm algorithm = VlKMeansLloyd ;


VlVectorComparisonType distance = VlDistanceL2 ;


KMeans * kmeans = vl_kmeans_new (algorithm, distance, VL_TYPE_FLOAT) ;


vl_kmeans_seed_centers_with_rand_data (kmeans, data, dimension, numData, numCenters) ;


vl_kmeans_set_max_num_iterations (kmeans, 100) ;


vl_kmeans_refine_centers (kmeans, data, numData) ;


Use vl_kmeans_get_energy to get the solution energy (or an upper bound for the Elkan algorithm) and vl_kmeans_get_centers to obtain the numCluster cluster centers. Use vl_kmeans_quantize to quantize new data points.



Initialization algorithms


kmeans.h supports the following cluster initialization algorithms:




Optimization algorithms


kmeans.h supports the following optimization algorithms:


    

  • Lloyd [7] (VlKMeansLloyd). This is the standard k-means algorithm, alternating the estimation of the point-to-cluster memebrship and of the cluster centers (means in the Euclidean case). Estimating membership requires computing the distance of each point to all cluster centers, which can be extremely slow.
    • 



    

  • Elkan [5] (VlKMeansElkan). This is a variation of [7] that uses the triangular inequality to avoid many distance calculations when assigning points to clusters and is typically much faster than [7] . However, it uses storage proportional to the square of the number of clusters, which makes it unpractical for a very large number of clusters.
    • 




Technical details


Given data points $ x_1, \dots, x_n \in \mathbb{R}^d $, k-means searches for $ k $ vectors $ c_1, \dots, c_n \in \mathbb{R}^d $ (cluster centers) and a function $ \pi : \{1, \dots, n\} \rightarrow \{1, \dots, k\} $ (cluster memberships) that minimize the objective:



\[ E(c_1,\dots,c_n,\pi) = \sum_{i=1}^n d^2(x_i, c_{\pi(i)}) \]



A simple procedure due to Lloyd [7] to locally optimize this objective alternates estimating the cluster centers and the membeship function. Specifically, given the membership function $ \pi $, the objective can be minimized independently for eac $ c_k $ by minimizing



\[ \sum_{i : \pi(i) = k} d^2(x_i, c_k) \]



For the Euclidean distance, the minimizer is simply the mean of the points assigned to that cluster. For other distances, the minimizer is a generalized average. For instance, for the $ l^1 $ distance, this is the median. Assuming that computing the average is linear in the number of points and the data dimension, this step requires $ O(nd) $ operations.


Similarly, given the centers $ c_1, \dots, c_k $, the objective can be optimized independently for the membership $ \pi(i) $ of each point $ x_i $ by minimizing $ d^2(x_i, c_{\pi(i)}) $ over $ \pi(i) \in \{1, \dots, k\} $. Assuming that computing a distance is $ O(d) $, this step requires $ O(ndk) $ operations and dominates the other.


The algorithm usually starts by initializing the centers from a random selection of the data point.



Initialization by k-means++


[2] proposes a randomized initialization of the centers which improves upon random selection. The first center $ c_1 $ is selected at random from the data points $ x_1, \dots, x_n $ and the distance from this center to all points $ d^2(x_i, c_1) $ is computed. Then the second center $ c_2 $ is selected at random from the data points with probability proportional to the distance, and the procedure is repeated using the minimum distance to the centers collected so far.



Speeding up by using the triangular inequality


[3] proposes to use the triangular inequality to avoid most distances calculations when computing point-to-cluster membership and the cluster centers did not change much from the previous iteration.


This uses two key ideas:


    

  • If a point $ x_i $ is very close to its current center $ c_{\pi(i)} $ and this center is very far from another center $ c $, then the point cannot be assigned to $ c $. Specifically, if $ d(x_i, c_{\pi(i)}) \leq d(c_{\pi(i)}, c) / 2 $, then also $ d(x_i, c_{\pi(i)}) \leq d(x_i, c) $.
    • 



    

  • If a center $ c $ is updated to $ \hat c $, then the variation of the distance of the center to any point can be bounded by $ d(x, c) - d(c, \hat c) \leq d(x, \hat c) \leq d(x,c) + d(c, \hat c) $.
    • 



The first idea is used by keeping track of the inter-center distances and exlcuding reassigments to centers too far away from the current assigned center. The second idea is used by keeping for each point an upper bound to the distance to the currently assigned center and a lower bound to the distance to all the other centers. Unless such bounds do not intersect, then a point need not to be reassigned. See [3] for details. 



     
    

   

   
 

  
 
   
 
 

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Functions  

  


kmeans.c File Reference
  







K-means - Declaration.  
More...


#include "kmeans.h"

#include "generic.h"

#include "mathop.h"

#include <string.h>

#include "shuffle-def.h"





Functions


void vl_kmeans_reset (VlKMeans *self)


 Reset state.  


VlKMeans * vl_kmeans_new (vl_type dataType, VlVectorComparisonType distance)


 Create a new KMeans object.  


VlKMeans * vl_kmeans_new_copy (VlKMeans const *kmeans)


 Create a new KMeans object by copy.  


void vl_kmeans_delete (VlKMeans *self)


 Deletes a KMeans object.  


void vl_kmeans_set_centers (VlKMeans *self, void const *centers, vl_size dimension, vl_size numCenters)


 Set centers.  


void vl_kmeans_seed_centers_with_rand_data (VlKMeans *self, void const *data, vl_size dimension, vl_size numData, vl_size numCenters)


 Seed centers by randomly sampling data.  


void vl_kmeans_seed_centers_plus_plus (VlKMeans *self, void const *data, vl_size dimension, vl_size numData, vl_size numCenters)


 Seed centers by the KMeans++ algorithm.  


void vl_kmeans_quantize (VlKMeans *self, vl_uint32 *assignments, void *distances, void const *data, vl_size numData)


 Quantize data.  


double vl_kmeans_refine_centers (VlKMeans *self, void const *data, vl_size numData)


 Refine center locations.  


double vl_kmeans_cluster (VlKMeans *self, void const *data, vl_size dimension, vl_size numData, vl_size numCenters)


 Cluster data.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          double vl_kmeans_cluster 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to quantize. 

    
dimensiondata dimension. 

    
numDatanumber of data points. 

    
numCentersnumber of clusters. 

  

  




Returns:
K-means energy at the end of optimization.


The function initializes the centers by using the initialization algorithm set by vl_kmeans_set_initialization and refines them by the quantization algorithm set by vl_kmeans_set_algorithm. The process is repeated one or more times (see vl_kmeans_set_num_repetitions) and the resutl with smaller energy is retained. 











      

        

          void vl_kmeans_delete 
          (
          VlKMeans * 
          self)
          
        

      




Parameters:

  

    
selfKMeans object instance.

  

  




The function deletes the KMeans object instance created by vl_kmeans_new. 











      

        

          VlKMeans* vl_kmeans_new 
          (
          vl_type 
          dataType, 
        

        

          
          
          VlVectorComparisonType 
          distance 
        

        

          
          )
          
        

      




Parameters:

  

    
dataTypetype of data (VL_TYPE_FLOAT or VL_TYPE_DOUBLE) 

    
distancedistance. 

  

  




Returns:
new KMeans object instance. 











      

        

          VlKMeans* vl_kmeans_new_copy 
          (
          VlKMeans const * 
          kmeans)
          
        

      




Parameters:

  

    
kmeansKMeans object to copy. 

  

  




Returns:
new copy. 











      

        

          void vl_kmeans_quantize 
          (
          VlKMeans * 
          self, 
        

        

          
          
          vl_uint32 * 
          assignments, 
        

        

          
          
          void * 
          distances, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          numData 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
assignmentsdata to centers assignments. 

    
distancesdata to closes center distance/ 

    
datadata to quantize. 

    
numDatanumber of data points. 

  

  













      

        

          double vl_kmeans_refine_centers 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          numData 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to quantize. 

    
numDatanumber of data points. 

  

  




Returns:
K-means energy at the end of optimization.


The function calls the underlying K-means quantization algorithm (VlKMeansAlgorithm) to quantize the specified data data. The function assumes that the cluster centers have already been assigned by using one of the seeding functions, or by setting them. 











      

        

          void vl_kmeans_reset 
          (
          VlKMeans * 
          self)
          
        

      




The function reset the state of the KMeans object. It deletes any stored centers, releasing the corresponding memory. This cancels the effect of seeding or setting the centers, but does not change the other configuration parameters. 











      

        

          void vl_kmeans_seed_centers_plus_plus 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to sample from. 

    
dimensiondata dimension. 

    
numDatanmber of data points. 

    
numCentersnumber of centers. 

  

  













      

        

          void vl_kmeans_seed_centers_with_rand_data 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to sample from. 

    
dimensiondata dimension. 

    
numDatanmber of data points. 

    
numCentersnumber of centers.

  

  




The function seeds the KMeans centers by randomly sampling the data data. 











      

        

          void vl_kmeans_set_centers 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          centers, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
centerscenters to copy. 

    
dimensiondata dimension. 

    
numCentersnumber of centers. 

  

  










     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Data Structures |
Enumerations  

  


kmeans.h File Reference
  







K-means (K-means clustering)  
More...


#include "generic.h"

#include "random.h"

#include "mathop.h"





Data Structures


struct  VlKMeans


 K-means quantizer.  More...





Enumerations


enum  VlKMeansAlgorithm { VlKMeansLloyd, 
VlKMeansElkan, 
VlKMeansANN
 }


 K-means algorithms.  More...


enum  VlKMeansInitialization { VlKMeansRandomSelection, 
VlKMeansPlusPlus
 }


 K-means initialization algorithms.  More...





Functions


Create and destroy


VlKMeans * vl_kmeans_new (vl_type dataType, VlVectorComparisonType distance)


 Create a new KMeans object.  


VlKMeans * vl_kmeans_new_copy (VlKMeans const *kmeans)


 Create a new KMeans object by copy.  


void vl_kmeans_delete (VlKMeans *self)


 Deletes a KMeans object.  


Basic data processing


void vl_kmeans_reset (VlKMeans *self)


 Reset state.  


double vl_kmeans_cluster (VlKMeans *self, void const *data, vl_size dimension, vl_size numData, vl_size numCenters)


 Cluster data.  


void vl_kmeans_quantize (VlKMeans *self, vl_uint32 *assignments, void *distances, void const *data, vl_size numData)


 Quantize data.  


Advanced data processing


void vl_kmeans_set_centers (VlKMeans *self, void const *centers, vl_size dimension, vl_size numCenters)


 Set centers.  


void vl_kmeans_seed_centers_with_rand_data (VlKMeans *self, void const *data, vl_size dimensions, vl_size numData, vl_size numCenters)


 Seed centers by randomly sampling data.  


void vl_kmeans_seed_centers_plus_plus (VlKMeans *self, void const *data, vl_size dimensions, vl_size numData, vl_size numCenters)


 Seed centers by the KMeans++ algorithm.  


double vl_kmeans_refine_centers (VlKMeans *self, void const *data, vl_size numData)


 Refine center locations.  


Retrieve data and parameters


vl_type vl_kmeans_get_data_type (VlKMeans const *self)


 Get data type.  


VlVectorComparisonType vl_kmeans_get_distance (VlKMeans const *self)


 Get data type.  


VlKMeansAlgorithm vl_kmeans_get_algorithm (VlKMeans const *self)


 Get K-means algorithm.  


VlKMeansInitialization vl_kmeans_get_initialization (VlKMeans const *self)


 Get K-means initialization algorithm.  


vl_size vl_kmeans_get_num_repetitions (VlKMeans const *self)


 Get maximum number of repetitions.  


vl_size vl_kmeans_get_dimension (VlKMeans const *self)


 Get data dimension.  


vl_size vl_kmeans_get_num_centers (VlKMeans const *self)


 Get the number of centers (K)  


int vl_kmeans_get_verbosity (VlKMeans const *self)


 Get verbosity level.  


vl_size vl_kmeans_get_max_num_iterations (VlKMeans const *self)


 Get maximum number of iterations.  


double vl_kmeans_get_energy (VlKMeans const *self)


 Get the number energy of the current fit.  


void const * vl_kmeans_get_centers (VlKMeans const *self)


 Get centers.  


Set parameters


void vl_kmeans_set_algorithm (VlKMeans *self, VlKMeansAlgorithm algorithm)


 Set K-means algorithm.  


void vl_kmeans_set_initialization (VlKMeans *self, VlKMeansInitialization initialization)


 Set K-means initialization algorithm.  


void vl_kmeans_set_num_repetitions (VlKMeans *self, vl_size numRepetitions)


 Set maximum number of repetitions.  


void vl_kmeans_set_max_num_iterations (VlKMeans *self, vl_size maxNumIterations)


 Set maximum number of iterations.  


void vl_kmeans_set_verbosity (VlKMeans *self, int verbosity)


 Set verbosity level.  




Detailed Description


Author:
Andrea Vedaldi 


Enumeration Type Documentation






      

        

          enum VlKMeansAlgorithm
        

      




Enumerator: 


VlKMeansLloyd 

Lloyd algorithm 




VlKMeansElkan 

Elkan algorithm 




VlKMeansANN 

Approximate nearest neighbors 



















      

        

          enum VlKMeansInitialization
        

      




Enumerator: 


VlKMeansRandomSelection 

Randomized selection 




VlKMeansPlusPlus 

Plus plus raondomized selection 















Function Documentation






      

        

          double vl_kmeans_cluster 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to quantize. 

    
dimensiondata dimension. 

    
numDatanumber of data points. 

    
numCentersnumber of clusters. 

  

  




Returns:
K-means energy at the end of optimization.


The function initializes the centers by using the initialization algorithm set by vl_kmeans_set_initialization and refines them by the quantization algorithm set by vl_kmeans_set_algorithm. The process is repeated one or more times (see vl_kmeans_set_num_repetitions) and the resutl with smaller energy is retained. 











      

        

          void vl_kmeans_delete 
          (
          VlKMeans * 
          self)
          
        

      




Parameters:

  

    
selfKMeans object instance.

  

  




The function deletes the KMeans object instance created by vl_kmeans_new. 













  

  
      

        

          VlKMeansAlgorithm vl_kmeans_get_algorithm 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object. 

  

  




Returns:
algorithm. 













  

  
      

        

          void const * vl_kmeans_get_centers 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
cluster centers. 













  

  
      

        

          vl_type vl_kmeans_get_data_type 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
data type. 













  

  
      

        

          vl_size vl_kmeans_get_dimension 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
data dimension. 













  

  
      

        

          VlVectorComparisonType vl_kmeans_get_distance 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
data type. 













  

  
      

        

          double vl_kmeans_get_energy 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
energy. 













  

  
      

        

          VlKMeansInitialization vl_kmeans_get_initialization 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object. 

  

  




Returns:
algorithm. 













  

  
      

        

          vl_size vl_kmeans_get_max_num_iterations 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
maximum number of iterations. 













  

  
      

        

          vl_size vl_kmeans_get_num_centers 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
number of centers. 













  

  
      

        

          vl_size vl_kmeans_get_num_repetitions 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
current number of repretitions for quantization. 













  

  
      

        

          int vl_kmeans_get_verbosity 
          (
          VlKMeans const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

  

  




Returns:
verbosity level. 











      

        

          VlKMeans* vl_kmeans_new 
          (
          vl_type 
          dataType, 
        

        

          
          
          VlVectorComparisonType 
          distance 
        

        

          
          )
          
        

      




Parameters:

  

    
dataTypetype of data (VL_TYPE_FLOAT or VL_TYPE_DOUBLE) 

    
distancedistance. 

  

  




Returns:
new KMeans object instance. 











      

        

          VlKMeans* vl_kmeans_new_copy 
          (
          VlKMeans const * 
          kmeans)
          
        

      




Parameters:

  

    
kmeansKMeans object to copy. 

  

  




Returns:
new copy. 











      

        

          void vl_kmeans_quantize 
          (
          VlKMeans * 
          self, 
        

        

          
          
          vl_uint32 * 
          assignments, 
        

        

          
          
          void * 
          distances, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          numData 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
assignmentsdata to centers assignments. 

    
distancesdata to closes center distance/ 

    
datadata to quantize. 

    
numDatanumber of data points. 

  

  













      

        

          double vl_kmeans_refine_centers 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          numData 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to quantize. 

    
numDatanumber of data points. 

  

  




Returns:
K-means energy at the end of optimization.


The function calls the underlying K-means quantization algorithm (VlKMeansAlgorithm) to quantize the specified data data. The function assumes that the cluster centers have already been assigned by using one of the seeding functions, or by setting them. 











      

        

          void vl_kmeans_reset 
          (
          VlKMeans * 
          self)
          
        

      




The function reset the state of the KMeans object. It deletes any stored centers, releasing the corresponding memory. This cancels the effect of seeding or setting the centers, but does not change the other configuration parameters. 











      

        

          void vl_kmeans_seed_centers_plus_plus 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to sample from. 

    
dimensiondata dimension. 

    
numDatanmber of data points. 

    
numCentersnumber of centers. 

  

  













      

        

          void vl_kmeans_seed_centers_with_rand_data 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          data, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numData, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
datadata to sample from. 

    
dimensiondata dimension. 

    
numDatanmber of data points. 

    
numCentersnumber of centers.

  

  




The function seeds the KMeans centers by randomly sampling the data data. 













  

  
      

        

          void vl_kmeans_set_algorithm 
          (
          VlKMeans * 
          self, 
        

        

          
          
          VlKMeansAlgorithm 
          algorithm 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object. 

    
algorithmK-means algorithm. 

  

  













      

        

          void vl_kmeans_set_centers 
          (
          VlKMeans * 
          self, 
        

        

          
          
          void const * 
          centers, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          vl_size 
          numCenters 
        

        

          
          )
          
        

      




Parameters:

  

    
selfKMeans object. 

    
centerscenters to copy. 

    
dimensiondata dimension. 

    
numCentersnumber of centers. 

  

  















  

  
      

        

          void vl_kmeans_set_initialization 
          (
          VlKMeans * 
          self, 
        

        

          
          
          VlKMeansInitialization 
          initialization 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object. 

    
initializationinitialization. 

  

  















  

  
      

        

          void vl_kmeans_set_max_num_iterations 
          (
          VlKMeans * 
          self, 
        

        

          
          
          vl_size 
          maxNumIterations 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans filter. 

    
maxNumIterationsmaximum number of iterations. 

  

  















  

  
      

        

          void vl_kmeans_set_num_repetitions 
          (
          VlKMeans * 
          self, 
        

        

          
          
          vl_size 
          numRepetitions 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

    
numRepetitionsmaximum number of repetitions. The number of repetitions cannot be smaller than 1. 

  

  















  

  
      

        

          void vl_kmeans_set_verbosity 
          (
          VlKMeans * 
          self, 
        

        

          
          
          int 
          verbosity 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfKMeans object instance. 

    
verbosityverbosity level. 

  

  










     
    

   

   
 

  
 
   
 
 

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Functions  

  


lbp.c File Reference
  







Local Binary Patterns - Definition.  
More...


#include "lbp.h"

#include "mathop.h"





Functions


VlLbp * vl_lbp_new (VlLbpMappingType type, vl_bool transposed)


 Create a new LBP object.  


void vl_lbp_delete (VlLbp *self)


 Delete VlLbp object.  


void vl_lbp_process (VlLbp *self, float *features, float *image, vl_size width, vl_size height, vl_size cellSize)


 Extract LBP features.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_lbp_delete 
          (
          VlLbp * 
          self)
          
        

      




Parameters:

  

    
selfobject to delete. 

  

  













      

        

          VlLbp* vl_lbp_new 
          (
          VlLbpMappingType 
          type, 
        

        

          
          
          vl_bool 
          transposed 
        

        

          
          )
          
        

      




Parameters:

  

    
typetype of LBP features. 

    
transposedif true, then transpose each LBP pattern. 

  

  




Returns:
new VlLbp object instance. 











      

        

          void vl_lbp_process 
          (
          VlLbp * 
          self, 
        

        

          
          
          float * 
          features, 
        

        

          
          
          float * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfLBP object. 

    
featuresbuffer to write the features to. 

    
imageimage. 

    
widthimage width. 

    
heightimage height. 

    
cellSizesize of the LBP cells.

  

  




features is a numColumns x numRows x dimension where dimension is the dimension of a LBP feature obtained from vl_lbp_get_dimension, numColumns is equal to floor(width / cellSize), and similarly for numRows. 








     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Data Structures |
Enumerations |
Functions  

  


lbp.h File Reference
  







Local Binary Patterns.  
More...


#include "generic.h"





Data Structures


struct  VlLbp


 Local Binary Pattern extractor.  More...





Enumerations


enum  VlLbpMappingType { VlLbpUniform
 }


 Type of quantization for LBP features.  More...





Functions


VlLbp * vl_lbp_new (VlLbpMappingType type, vl_bool transposed)


 Create a new LBP object.  


void vl_lbp_delete (VlLbp *self)


 Delete VlLbp object.  


void vl_lbp_process (VlLbp *self, float *features, float *image, vl_size width, vl_size height, vl_size cellSize)


 Extract LBP features.  


vl_size vl_lbp_get_dimension (VlLbp *self)


 Get the dimension of the LBP histograms.  




Detailed Description


VlLbp implements the local binary pattern features.


An LBP feature [1] is a l2-normalized local histogram of quantized local binary patterns (LBP).



Local Binary Patterns


A LBP is a string of bit obtained by binarizing a local neighbourhood of pixels with respect to the brightness of the central pixel. VlLbp implements only the case of 3x3 pixel neighbourhoods (this setting perform best in applications). Thus the LBP at location $ (x,y) $ is a string of eight bits. Each bit is equal to one if the corresponding pixel is brighter than the central one. Pixels are scanned starting from the one to the right in anti-clockwise sense. For example the first bit is one if, and only if, $ I(x+1,y) > I(x,y), and the second bit if, and only if, $ I(x+1,y-1) > I(x,y).



Quantized LBP


For a 3x3 neighborhood, an LBP is a string of eight bits and so there are 256 possible LBPs. These are usually too many for a reliable statistics (histogram) to be computed. Therefore the 256 patterns are further quantized into a smaller number of patterns according to one of the following rules:


    

  • Uniform (VlLbpUniform) There is one quantized pattern for each LBP that has exactly a transitions from 0 to 1 and one from 1 to 0 when scanned in anti-clockwise order, plus one quantized pattern comprising the two uniform LBPs, and one quantized pattern comprising all the other LBPs. This yields a total of 58 quantized patterns.
    • 



The number of quantized LBPs, which depends on the quantization type, can be obtained by vl_lbp_get_dimension.



Histograms of LBPs


The quantized LBP patterns are further grouped into local histograms. The image is divided into a number of cells of a prescribed size (cellSize). Then the quantized LBPs are aggregated into histogram by using bilinear interpolation along the two spatial dimensions (similar to HOG and SIFT).



Usage


First, one creates a VlLbp object instance by specifying the type of quantization (this initializes some internal tables to speedup the computation). Then, one obtains all the quantized LBPs histograms by calling vl_lbp_process. This function expects as input a buffer large enough to contain the computed features. If the image has size width x height, there are exactly floor(width/cellSize) x floor(height/cellSize) cells, each of which has a histogram of LBPs of size dimension (as returned by vl_lbp_get_dimension). Thus the required buffer has size floor(width/cellSize) x floor(height/cellSize) x dimension.


VlLbp supports computing transposed LPBs as well. A transposed LBP is the LBP obtained by transposing the underlying image patch (regarded as a matrix). This can be useful to compute the features when the image is column major rather than row major.



References


[1] T. Ojala, M. Pietikainen, and M. Maenpaa. "Multiresolution gray-scale and rotation invariant texture classification with local binary patterns". PAMI, 2010.


Author:
Andrea Vedaldi 


Enumeration Type Documentation






      

        

          enum VlLbpMappingType
        

      




Enumerator: 


VlLbpUniform 

Uniform patterns 















Function Documentation






      

        

          void vl_lbp_delete 
          (
          VlLbp * 
          self)
          
        

      




Parameters:

  

    
selfobject to delete. 

  

  















  

  
      

        

          vl_size vl_lbp_get_dimension 
          (
          VlLbp * 
          self)
          
        

      

  		
  
inline  
  






Returns:
dimension of the LBP histograms. The dimension depends on the type of quantization used. 


See also:
vl_lbp_new(). 











      

        

          VlLbp* vl_lbp_new 
          (
          VlLbpMappingType 
          type, 
        

        

          
          
          vl_bool 
          transposed 
        

        

          
          )
          
        

      




Parameters:

  

    
typetype of LBP features. 

    
transposedif true, then transpose each LBP pattern. 

  

  




Returns:
new VlLbp object instance. 











      

        

          void vl_lbp_process 
          (
          VlLbp * 
          self, 
        

        

          
          
          float * 
          features, 
        

        

          
          
          float * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          cellSize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfLBP object. 

    
featuresbuffer to write the features to. 

    
imageimage. 

    
widthimage width. 

    
heightimage height. 

    
cellSizesize of the LBP cells.

  

  




features is a numColumns x numRows x dimension where dimension is the dimension of a LBP feature obtained from vl_lbp_get_dimension, numColumns is equal to floor(width / cellSize), and similarly for numRows. 








     
    

   

   
 

  
 
   
 
 

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Glossary 
  






    

  • Column-major. A M x N  matrix A is stacked with column-major order as the sequence $(A_{11}, A_{21}, \dots, A_{12}, \dots)$. More in general, when stacking a multi dimensional array this indicates that the first index is the one varying most quickly, with the other followed in the natural order.
    • 

  • Opaque structure. A structure is opaque if the user is not supposed to access its member directly, but through appropriate interface functions. Opaque structures are commonly used to define objects.
    • 

  • Row-major. A M x N  matrix A is stacked with row-major order as the sequence $(A_{11}, A_{12}, \dots, A_{21}, \dots)$. More in general, when stacking a multi dimensional array this indicates that the last index is the one varying most quickly, with the other followed in reverse order.
    • 

  • Feature frame. A feature frame is the geometrical description of a visual features. For instance, the frame of a SIFT feature is oriented disk and the frame of MSER feature is either a compact and connected set or a disk.
    • 

  • Feature descriptor. A feature descriptor is a quantity (usually a vector) which describes compactly the appearance of an image region (usually corresponding to a feature frame). 
    • 




     
    

   

   
 

  
 
   
 
 

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mathop.c File Reference
  







Math operations - Definition.  
More...


#include "mathop.h"

#include "mathop_sse2.h"

#include <math.h>

#include "mathop.c"

#include "float.th"


Detailed Description


Author:
Andrea Vedaldi 



     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Macros |
Typedefs |
Enumerations |
Functions |
Variables  

  


mathop.h File Reference
  







Math operations.  
More...


#include "generic.h"

#include <math.h>





Macros



#define VL_LOG_OF_2   0.693147180559945


 Logarithm of 2 (math constant) 



#define VL_PI   3.141592653589793


 Pi (math constant) 


#define VL_EPSILON_F   1.19209290E-07F


 IEEE single precision epsilon (math constant)  


#define VL_EPSILON_D   2.220446049250313e-16


 IEEE double precision epsilon (math constant)  



#define VL_NAN_F   (vl_nan_f.value)


 IEEE single precision NaN (not signaling) 



#define VL_INFINITY_F   (vl_infinity_f.value)


 IEEE single precision positive infinity (not signaling) 



#define VL_NAN_D   (vl_nan_d.value)


 IEEE double precision NaN (not signaling) 



#define VL_INFINITY_D   (vl_infinity_d.value)


 IEEE double precision positive infinity (not signaling) 





Typedefs



typedef float(* VlFloatVectorComparisonFunction )(vl_size dimension, float const *X, float const *Y)


 Pointer to a function to compare vectors of floats. 



typedef double(* VlDoubleVectorComparisonFunction )(vl_size dimension, double const *X, double const *Y)


 Pointer to a function to compare vectors of doubles. 



typedef enum 

_VlVectorComparisonType 		VlVectorComparisonType


 Vector comparison types. 





Enumerations


enum  _VlVectorComparisonType { 

  VlDistanceL1, 
VlDistanceL2, 
VlDistanceChi2, 
VlDistanceHellinger, 


  VlDistanceJS, 
VlKernelL1, 
VlKernelL2, 
VlKernelChi2, 


  VlKernelHellinger, 
VlKernelJS


 }


 Vector comparison types.  More...





Functions


float vl_mod_2pi_f (float x)


 Fast mod(x, 2 * VL_PI)  


double vl_mod_2pi_d (double x)


 Fast mod(x, 2 * VL_PI)  


long int vl_floor_f (float x)


 Floor and convert to integer.  


long int vl_floor_d (double x)


 Floor and convert to integer.  


long int vl_ceil_f (float x)


 Ceil and convert to integer.  


long int vl_ceil_d (double x)


 Ceil and convert to integer.  


long int vl_round_f (float x)


 Round.  


long int vl_round_d (double x)


 Round.  


float vl_abs_f (float x)


 Fast abs(x)  


double vl_abs_d (double x)


 Fast abs(x)  


float vl_fast_atan2_f (float y, float x)


 Fast atan2 approximation.  


double vl_fast_atan2_d (double y, double x)


 Fast atan2 approximation.  


float vl_fast_resqrt_f (float x)


 Fast resqrt approximation.  


double vl_fast_resqrt_d (double x)


 Fast resqrt approximation.  


float vl_fast_sqrt_f (float x)


 Fast sqrt approximation.  


double vl_fast_sqrt_d (float x)


 Fast sqrt approximation.  


vl_uint32 vl_fast_sqrt_ui32 (vl_uint32 x)


 Fast sqrt approximation.  


vl_uint16 vl_fast_sqrt_ui16 (vl_uint16 x)


 Fast sqrt approximation.  


vl_uint8 vl_fast_sqrt_ui8 (vl_uint8 x)


 Fast sqrt approximation.  


char const * vl_get_vector_comparison_type_name (int type)


 Get the symbolic name of a vector comparison type.  


VlFloatVectorComparisonFunction vl_get_vector_comparison_function_f (VlVectorComparisonType type)


 Get vector comparison function from comparison type.  


VlDoubleVectorComparisonFunction vl_get_vector_comparison_function_d (VlVectorComparisonType type)


 Get vector comparison function from comparison type.  


void vl_eval_vector_comparison_on_all_pairs_f (float *result, vl_size dimension, float const *X, vl_size numDataX, float const *Y, vl_size numDataY, VlFloatVectorComparisonFunction function)


 Evaluate vector comparison function on all vector pairs.  


void vl_eval_vector_comparison_on_all_pairs_d (double *result, vl_size dimension, double const *X, vl_size numDataX, double const *Y, vl_size numDataY, VlDoubleVectorComparisonFunction function)


 Evaluate vector comparison function on all vector pairs.  





Variables


union {


} vl_nan_f


 IEEE single precision quiet NaN constant.  


union {


} vl_infinity_f


 IEEE single precision infinity constant.  


union {


} vl_nan_d


 IEEE double precision quiet NaN constant.  


union {


} vl_infinity_d


 IEEE double precision infinity constant.  




Detailed Description



Comparing vectors


mathop.h includes a number of functions to quickly compute distances or similarity of pairs of vector. Applications include clustering and evaluation of SVM-like classifiers.


Use vl_get_vector_comparison_function_f or vl_get_vector_comparison_function_d obtain an approprite function to comprare vectors of floats or doubles, respectively. Such functions are usually optimized (for instance, on X86 platforms they use the SSE vector extension) and are several times faster than a naive implementation. vl_eval_vector_comparison_on_all_pairs_f and vl_eval_vector_comparison_on_all_pairs_d can be used to evaluate the comparison function on all pairs of one or two sequences of vectors.


Let $ \mathbf{x} = (x_1,\dots,x_d) $ and $ \mathbf{y} = (y_1,\dots,y_d) $ be two vectors. The following comparison functions are supported:





$ l^1 $ VlDistanceL1 $ \sum_{i=1}^d |x_i - y_i| $ l1 distance (squared intersection metric)  



$ l^2 $ VlDistanceL2 $\sum_{i=1}^d (x_i - y_i)^2$ Squared Euclidean disance  



$ \chi^2 $ VlDistanceChi2 $\sum_{i=1}^d \frac{(x_i - y_i)^2}{x_i + y_i}$ Squared chi-square distance  



- VlDistanceHellinger $\sum_{i=1}^d (\sqrt{x_i} - \sqrt{y_i})^2$ Squared Hellinger's distance  



- VlDistanceJS $ \sum_{i=1}^d \left( x_i \log\frac{2x_i}{x_i+y_i} + y_i \log\frac{2y_i}{x_i+y_i} \right) $  Squared Jensen-Shannon distance  



$ l^1 $ VlKernelL1 $ \sum_{i=1}^d \min\{ x_i, y_i \} $ intersection kernel  



$ l^2 $ VlKernelL2 $\sum_{i=1}^d x_iy_i $ linear kernel  



$ \chi^2 $ VlKernelChi2 $\sum_{i=1}^d 2 \frac{x_iy_i}{x_i + y_i}$ chi-square kernel  



- VlKernelHellinger $\sum_{i=1}^d 2 \sqrt{x_i y_i}$ Hellinger's kernel (Bhattacharya coefficient)  



- VlKernelJS $ \sum_{i=1}^d \left( \frac{x_i}{2} \log_2\frac{x_i+y_i}{x_i} + \frac{y_i}{2} \log_2\frac{x_i+y_i}{y_i} \right) $  Jensen-Shannon kernel  




Remarks:
The definitions have been choosen so that corresponding kernels and distances are related by the equation: 

\[ d^2(\mathbf{x},\mathbf{y}) = k(\mathbf{x},\mathbf{x}) +k(\mathbf{y},\mathbf{y}) -k(\mathbf{x},\mathbf{y}) -k(\mathbf{y},\mathbf{x}) \]


 This means that each of these distances can be interpreted as a squared distance or metric in the corresponding reproducing kernel Hilbert space. Notice in particular that the $ l^1 $ or Manhattan distance is also a squared distance in this sense.


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define VL_EPSILON_D   2.220446049250313e-16
        

      




1.0 + VL_EPSILON_D is the smallest representable double precision number greater than 1.0. Numerically, VL_EPSILON_D is equal to $ 2^{-52} $. 











      

        

          #define VL_EPSILON_F   1.19209290E-07F
        

      




1.0F + VL_EPSILON_F is the smallest representable single precision number greater than 1.0F. Numerically, VL_EPSILON_F is equal to $ 2^{-23} $. 







Enumeration Type Documentation






      

        

          enum _VlVectorComparisonType
        

      




Enumerator: 


VlDistanceL1 

l1 distance (squared intersection metric) 




VlDistanceL2 

squared l2 distance 




VlDistanceChi2 

squared Chi2 distance 




VlDistanceHellinger 

squared Hellinger's distance 




VlDistanceJS 

squared Jensen-Shannon distance 




VlKernelL1 

intersection kernel 




VlKernelL2 

l2 kernel 




VlKernelChi2 

Chi2 kernel 




VlKernelHellinger 

Hellinger's kernel 




VlKernelJS 

Jensen-Shannon kernel 















Function Documentation








  

  
      

        

          double vl_abs_d 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_abs_f 













  

  
      

        

          float vl_abs_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
abs(x) 













  

  
      

        

          long int vl_ceil_d 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_ceil_f 













  

  
      

        

          long int vl_ceil_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
lceilf(x) 











      

        

          vl_eval_vector_comparison_on_all_pairs_d 
          (
          double * 
          result, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          double const * 
          X, 
        

        

          
          
          vl_size 
          numDataX, 
        

        

          
          
          double const * 
          Y, 
        

        

          
          
          vl_size 
          numDataY, 
        

        

          
          
          VlDoubleVectorComparisonFunction 
          function 
        

        

          
          )
          
        

      




See also:
vl_eval_vector_comparison_on_all_pairs_f 











      

        

          vl_eval_vector_comparison_on_all_pairs_f 
          (
          float * 
          result, 
        

        

          
          
          vl_size 
          dimension, 
        

        

          
          
          float const * 
          X, 
        

        

          
          
          vl_size 
          numDataX, 
        

        

          
          
          float const * 
          Y, 
        

        

          
          
          vl_size 
          numDataY, 
        

        

          
          
          VlFloatVectorComparisonFunction 
          function 
        

        

          
          )
          
        

      




Parameters:

  

    
resultcomparison matrix (output). 

    
dimensionnumber of vector components (rows of X and Y). 

    
Xdata matrix X. 

    
Ydata matrix Y. 

    
numDataXnumber of vectors in X (columns of X) 

    
numDataYnumber of vectros in Y (columns of Y) 

    
functionvector comparison function.

  

  




The function evaluates function on all pairs of columns from matrices X and Y, filling a numDataX by numDataY matrix.


If Y is a null pointer the function compares all columns from X with themselves. 













  

  
      

        

          double vl_fast_atan2_d 
          (
          double 
          y, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






See also:
vl_fast_atan2_f 













  

  
      

        

          float vl_fast_atan2_f 
          (
          float 
          y, 
        

        

          
          
          float 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
yargument. 

    
xargument.

  

  




The function computes a relatively rough but fast approximation of atan2(y,x).


Algorithm


The algorithm approximates the function $ f(r)=atan((1-r)/(1+r)) $, $ r \in [-1,1] $ with a third order polynomial $ f(r)=c_0 + c_1 r + c_2 r^2 + c_3 r^3 $. To fit the polynomial we impose the constraints



\begin{eqnarray*} f(+1) &=& c_0 + c_1 + c_2 + c_3 = atan(0) = 0,\\ f(-1) &=& c_0 - c_1 + c_2 - c_3 = atan(\infty) = \pi/2,\\ f(0) &=& c_0 = atan(1) = \pi/4. \end{eqnarray*}



The last degree of freedom is fixed by minimizing the $ l^{\infty} $ error, which yields



\[ c_0=\pi/4, \quad c_1=-0.9675, \quad c_2=0, \quad c_3=0.1821, \]



with maximum error of 0.0061 radians at 0.35 degrees.


Returns:
Approximation of atan2(y,x). 













  

  
      

        

          double vl_fast_resqrt_d 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_fast_resqrt_d 













  

  
      

        

          float vl_fast_resqrt_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
approximation of resqrt(x).


The function quickly computes an approximation of $ x^{-1/2} $.


Algorithm


The goal is to compute $ y = x^{-1/2} $, which we do by finding the solution of $ 0 = f(y) = y^{-2} - x $ by two Newton steps. Each Newton iteration is given by



\[ y \leftarrow y - \frac{f(y)}{\frac{df(y)}{dy}} = y + \frac{1}{2} (y-xy^3) = \frac{y}{2} \left( 3 - xy^2 \right) \]



which yields a simple polynomial update rule.


The clever bit (attributed to either J. Carmack or G. Tarolli) is the way an initial guess $ y \approx x^{-1/2} $ is chosen.


See also:
Inverse Sqare Root. 













  

  
      

        

          double vl_fast_sqrt_d 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_fast_sqrt_f 













  

  
      

        

          float vl_fast_sqrt_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
approximation of sqrt(x).


The function computes a cheap approximation of sqrt(x).


Floating-point algorithm


For the floating point cases, the function uses vl_fast_resqrt_f (or vl_fast_resqrt_d) to compute x * vl_fast_resqrt_f(x).


Integer algorithm


We seek for the largest integer y such that $ y^2 \leq x $. Write $ y = w + b_k 2^k + z $ where the binary expansion of the various variable is



\[ x = \sum_{i=0}^{n-1} 2^i a_i, \qquad w = \sum_{i=k+1}^{m-1} 2^i b_i, \qquad z = \sum_{i=0}^{k-1} 2^i b_i. \]



Assume w known. Expanding the square and using the fact that $ b_k^2=b_k $, we obtain the following constraint for $ b_k $ and z: 



\[ x - w^2 \geq 2^k ( 2 w + 2^k ) b_k + z (z + 2wz + 2^{k+1}z b_k) \]



A necessary condition for $ b_k = 1 $ is that this equation is satisfied for $ z = 0 $ (as the second term is always non-negative). In fact, this condition is also sufficient, since we are looking for the largest solution y.


This yields the following iterative algorithm. First, note that if x is stored in n bits, where n is even, then the integer square root does not require more than $ m = n / 2 $ bit to be stored. Thus initially, $ w = 0 $ and $ k = m - 1 = n/2 - 1 $. Then, at each iteration the equation is tested, determining $ b_{m-1}, b_{m-2}, ... $ in this order. 













  

  
      

        

          vl_uint16 vl_fast_sqrt_ui16 
          (
          vl_uint16 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_fast_sqrt_f 













  

  
      

        

          vl_uint32 vl_fast_sqrt_ui32 
          (
          vl_uint32 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_fast_sqrt_f 













  

  
      

        

          vl_uint8 vl_fast_sqrt_ui8 
          (
          vl_uint8 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_fast_sqrt_f 













  

  
      

        

          long int vl_floor_d 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_floor_f 













  

  
      

        

          long int vl_floor_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
Similar to (int) floor(x) 











      

        

          vl_get_vector_comparison_function_d 
          (
          VlVectorComparisonType 
          type)
          
        

      




See also:
vl_get_vector_comparison_function_f 











      

        

          vl_get_vector_comparison_function_f 
          (
          VlVectorComparisonType 
          type)
          
        

      




Parameters:

  

    
typevector comparison type. 

  

  




Returns:
comparison function. 













  

  
      

        

          char const* vl_get_vector_comparison_type_name 
          (
          int 
          type)
          
        

      

  		
  
inline  
  






Parameters:

  

    
typevector comparison type. 

  

  




Returns:
data symbolic name. 













  

  
      

        

          double vl_mod_2pi_d 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






See also:
vl_mod_2pi_f 













  

  
      

        

          float vl_mod_2pi_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xinput value. 

  

  




Returns:
mod(x, 2 * VL_PI)


The function is optimized for small absolute values of x.


The result is guaranteed to be not smaller than 0. However, due to finite numerical precision and rounding errors, the result can be equal to 2 * VL_PI (for instance, if x is a very small negative number). 













  

  
      

        

          long int vl_round_d 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
lround(x) This function is either the same or similar to C99 lround(). 













  

  
      

        

          long int vl_round_f 
          (
          float 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument. 

  

  




Returns:
lroundf(x) This function is either the same or similar to C99 lroundf(). 







Variable Documentation






      

        

          union { ... }  vl_infinity_d
        

      













      

        

          union { ... }  vl_infinity_f
        

      













      

        

          union { ... }  vl_nan_d
        

      













      

        

          union { ... }  vl_nan_f
        

      










     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  


mathop_sse2.c File Reference
  







mathop for SSE2 - Definition  
More...


#include "generic.h"

#include "mathop.h"

#include "mathop_sse2.h"

#include <emmintrin.h>

#include "mathop_sse2.c"

#include "float.th"


Detailed Description


Author:
Andrea Vedaldi 



     
    

   

   
 

  
 
   
 
 

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  VLFeat - Documentation - C API
  
  
  
  
  
  
 
 
 
  
  

   Documentation - C API
  

  

    
   

    
    




  


mathop_sse2.h File Reference
  







mathop for sse2  
More...


#include "mathop_sse2.h"


Detailed Description


Author:
Andrea Vedaldi 



     
    

   

   
 

  
 
   
 
 

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Data Structures |
Macros |
Functions  

  


mexutils.h File Reference
  







MEX utilities.  
More...


#include "mex.h"

#include <vl/generic.h>

#include <vl/array.h>

#include <vl/stringop.h>

#include <ctype.h>

#include <string.h>

#include <stdio.h>

#include <stdarg.h>





Data Structures


struct  vlmxOption


 MEX option.  More...





Macros



#define IN(x)   (in[IN_ ## x])


 Access MEX input argument. 



#define OUT(x)   (out[OUT_ ## x])


 Access MEX output argument. 


#define VL_USE_MATLAB_ENV


 Setup VLFeat to be used in a MEX file.  





Functions


static mxArray * vlmxCreatePlainScalar (double x)


 Create a MATLAB array which is a plain scalar.  


static mxArray * vlmxCreateArrayFromVlArray (VlArray const *x)


 Create a MATLAB array from a VlArray.  


static VlArray * vlmxEnvelopeArrayInVlArray (VlArray *v, mxArray *x)


 Envelope a MATLAB array in a VlArray instance.  


static int vlmxCompareStringsI (const char *s1, const char *s2)


 Case insensitive string comparison.  


static int vlmxCompareToStringI (mxArray const *array, char const *string)


 Case insensitive string comparison with array.  


static int vlmxIsEqualToStringI (mxArray const *array, char const *string)


 Case insensitive string equality test with array.  


static int vlmxNextOption (mxArray const *args[], int nargs, vlmxOption const *options, int *next, mxArray const **optarg)


 Parse the next option.  


static VlEnumerator * vlmxDecodeEnumeration (mxArray const *name_array, VlEnumerator const *enumeration, vl_bool caseInsensitive)


 Get an emumeration member by name.  


Check for array attributes


vl_bool vlmxIsOfClass (mxArray const *array, mxClassID classId)


 Check if a MATLAB array is of a prescribed class.  


vl_bool vlmxIsReal (mxArray const *array)


 Check if a MATLAB array is real.  


Check for scalar, vector and matrix arrays


vl_bool vlmxIsScalar (mxArray const *array)


 Check if a MATLAB array is scalar.  


static vl_bool vlmxIsVector (mxArray const *array, vl_index numElements)


 Check if a MATLAB array is a vector.  


static vl_bool vlmxIsMatrix (mxArray const *array, vl_index M, vl_index N)


 Check if a MATLAB array is a matrix.  


static vl_bool vlmxIsArray (mxArray const *array, vl_index numDimensions, vl_index *dimensions)


 Check if the MATLAB array has the specified dimensions.  


Check for plain arrays


vl_bool vlmxIsPlain (mxArray const *array)


 Check if a MATLAB array is plain.  


vl_bool vlmxIsPlainScalar (mxArray const *array)


 Check if a MATLAB array is plain scalar.  


vl_bool vlmxIsPlainVector (mxArray const *array, vl_index numElements)


 Check if a MATLAB array is a plain vector.  


vl_bool vlmxIsPlainMatrix (mxArray const *array, vl_index M, vl_index N)


 Check if a MATLAB array is a plain matrix.  


static int vlmxIsString (const mxArray *array, vl_index length)


 Check if the array is a string.  





Error handling


enum  VlmxErrorId 


 VLFeat MEX errors. 


static void vlmxError (VlmxErrorId errorId, char const *errorMessage,...)


 Raise a MEX error with VLFeat format.  


static void vlmxWarning (VlmxErrorId errorId, char const *errorMessage,...)


 Raise a MEX warning with VLFeat format.  




Detailed Description


Author:
Andrea Vedaldi


This header file provides helper functions for writing MATLAB MEX files.




VLFeat environment


When the VLFeat DLL is linked to a MATLAB MEX files, at run time the MEX file must configure VLFeat to use MATLAB memory allocation and logging functions. This can be obtained by calling the macro VL_USE_MATLAB_ENV as the first line of each MEX file which is linked to the VLFeat DLL.



Array tests


MATLAB supports a variety of array types. Most MEX file arguments are restricted to a few types and must be properly checked at run time. mexutils.h provides some helper functions to make it simpler to check such arguments. MATLAB basic array types are:


    

  • Numeric array: mxDOUBLE_CLASS, mxSINGLE_CLASS, mxINT8_CLASS, mxUINT8_CLASS, mxINT16_CLASS, mxUINT16_CLASS, mxINT32_CLASS, mxUINT32_CLASS. Moreover:
      

    • all such types have a real component
      • 

    • all such types may have a imaginary component
      • 

    • mxDOUBLE_LCASS arrays with two dimensions can be sparse.
      • 

    

    • 

  • Logical array (mxLOGICAL_CLASS).
    • 

  • Character array (mxCHAR_CLASS).
    • 



The other MATLAB array types are:


    

  • Struct array (mxSTRUCT_CLASS).
    • 

  • Cell array (mxCELL_CLASS).
    • 

  • Custom class array (mxCLASS_CLASS).
    • 

  • Unkown type array (mxUNKNOWN_CLASS).
    • 



VLFeat defines a number of common classes of arrays and corresponding tests.


    

  • Scalar array is a non-sparse array with exactly one element. Note that the array may have an arbitrary number of dimensions, and be of any numeric or other type. All dimensions are singleton (which is implied by having exactly one element). Use vlmxIsScalar to test if an array is scalar.
    • 



    

  • Vector array is a non-sparse array which is either empty (empty vector) or has at most one non-singleton dimension. The array can be of any numeric or other type. The elements of such a MATLAB array are stored as a plain C array with a number of elements equal to the number of elements in the array (obtained with mxGetNumberOfElements). Use vlmxIsVector to test if an array is a vector.
    • 



    

  • Matrix array is a non-sparse array for which all dimensions beyond the first two are singleton, or a non-sparse array which is empty and for which at least one of the first two dimensions is zero. The array can be of any numeric or other type. The non-singleton dimensions can be zero (empty matrix), one, or more. The element of such a MATLAB array are stored as a C array in column major order and its dimensions can be obtained by mxGetM and mxGetN. Use vlmxIsMatrix to test if an array is a matrix.
    • 



    

  • Real array is a numeric array (as for mxIsNumeric) without a complex component. Use vlmxIsReal to check if an array is real.
    • 



    

  • Use vlmxIsOfClass to check if an array is of a prescribed (storage) class, such as mxDOUBLE_CLASS.
    • 





Parsing options


It is common to pass optional arguments to a MEX file as option type-value pairs. Here type is a string identifying the option and value is a MATLAB array specifing its value. The function vlmxNextOption can be used to simplify parsing a list of such arguments (similar to UNIX getopt). The functions vlmxError and vlmxWarning are shortcuts to specify VLFeat formatted errors. 


Macro Definition Documentation






      

        

          #define VL_USE_MATLAB_ENV
        

      



Value:
vl_set_alloc_func (mxMalloc, mxRealloc, mxCalloc, mxFree) ; \


  vl_set_printf_func ((printf_func_t)mexPrintf) ;


This makes VLFeat use MATLAB version of the memory allocation and logging functions. 







Function Documentation








  

  
      

        

          static int vlmxCompareStringsI 
          (
          const char * 
          s1, 
        

        

          
          
          const char * 
          s2 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
s1first string. 

    
s2second string. 

  

  




Returns:
comparison result.


The comparison result is equal to 0 if the strings are equal, >0 if the first string is greater than the second (in lexicographical order), and <0 otherwise. 













  

  
      

        

          static int vlmxCompareToStringI 
          (
          mxArray const * 
          array, 
        

        

          
          
          char const * 
          string 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
arrayfirst string (as a MATLAB array). 

    
stringsecond string. 

  

  




Returns:
comparison result.


The comparison result is equal to 0 if the strings are equal, >0 if the first string is greater than the second (in lexicographical order), and <0 otherwise. 













  

  
      

        

          static mxArray* vlmxCreateArrayFromVlArray 
          (
          VlArray const * 
          x)
          
        

      

  		
  
static  
  






Parameters:

  

    
xVlArray instance. 

  

  




Returns:
the new array. 













  

  
      

        

          static mxArray* vlmxCreatePlainScalar 
          (
          double 
          x)
          
        

      

  		
  
static  
  






Parameters:

  

    
xscalar value. 

  

  




Returns:
the new array. 













  

  
      

        

          static VlEnumerator* vlmxDecodeEnumeration 
          (
          mxArray const * 
          name_array, 
        

        

          
          
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          vl_bool 
          caseInsensitive 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
enumerationthe enumeration to decode. 

    
namemember name as a MATLAB string array.sb 

    
caseInsensitiveif true match the string case-insensitive. 

  

  




Returns:
the corresponding enumeration member, or NULL if any. 













  

  
      

        

          static VlArray* vlmxEnvelopeArrayInVlArray 
          (
          VlArray * 
          v, 
        

        

          
          
          mxArray * 
          x 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
vVlArray instance (out) 

    
xMATALB array. 

  

  




Returns:
v. 













  

  
      

        

          static void vlmxError 
          (
          VlmxErrorId 
          errorId, 
        

        

          
          
          char const * 
          errorMessage, 
        

        

          
          
           
          ... 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
errorIderror ID string. 

    
errorMessageerror message C-style format string. 

    
...format string arguments.

  

  




The function internally calls mxErrMsgTxtAndId, which causes the MEX file to abort. 













  

  
      

        

          static vl_bool vlmxIsArray 
          (
          mxArray const * 
          array, 
        

        

          
          
          vl_index 
          numDimensions, 
        

        

          
          
          vl_index * 
          dimensions 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
arrayarray to check. 

    
numDimensionsnumber of dimensions. 

    
dimensionsdimensions. 

  

  




Returns:
true the test succeeds.


The test is true if numDimensions < 0. If not, it is false if the array has not numDimensions. Otherwise it is true is dimensions is NULL or if each entry of dimensions is either negative or equal to the corresponding array dimension. 













  

  
      

        

          static int vlmxIsEqualToStringI 
          (
          mxArray const * 
          array, 
        

        

          
          
          char const * 
          string 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
arrayfirst string (as a MATLAB array). 

    
stringsecond string. 

  

  




Returns:
true if the strings are equal. 













  

  
      

        

          static vl_bool vlmxIsMatrix 
          (
          mxArray const * 
          array, 
        

        

          
          
          vl_index 
          M, 
        

        

          
          
          vl_index 
          N 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
arrayMATLAB array. 

    
Mnumber of rows (negative for any). 

    
Nnumber of columns (negative for any). 

  

  




Returns:
VL_TRUE if the array is a matrix of the prescribed size. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsOfClass 
          (
          mxArray const * 
          array, 
        

        

          
          
          mxClassID 
          classId 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

    
classIdprescribed class of the array. 

  

  




Returns:
VL_TRUE if the class is of the array is of the prescribed class. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsPlain 
          (
          mxArray const * 
          array)
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

  

  




Returns:
VL_TRUE if the array is plain. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsPlainMatrix 
          (
          mxArray const * 
          array, 
        

        

          
          
          vl_index 
          M, 
        

        

          
          
          vl_index 
          N 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

    
Mnumber of rows (negative for any). 

    
Nnumber of columns (negative for any). 

  

  




Returns:
VL_TRUE if the array is a plain matrix of the prescribed size. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsPlainScalar 
          (
          mxArray const * 
          array)
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

  

  




Returns:
VL_TRUE if the array is plain scalar. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsPlainVector 
          (
          mxArray const * 
          array, 
        

        

          
          
          vl_index 
          numElements 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

    
numElementsnumber of elements (negative for any). 

  

  




Returns:
VL_TRUE if the array is a plain vecotr of the prescribed size. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsReal 
          (
          mxArray const * 
          array)
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

  

  




Returns:
VL_TRUE if the array is real. 


See also:
Array tests 













  

  
      

        

          vl_bool vlmxIsScalar 
          (
          mxArray const * 
          array)
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayMATLAB array. 

  

  




Returns:
VL_TRUE if the array is scalar. 


See also:
Array tests 













  

  
      

        

          static int vlmxIsString 
          (
          const mxArray * 
          array, 
        

        

          
          
          vl_index 
          length 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
arrayarray to test. 

    
lengthstring length. 

  

  




Returns:
true if the array is a string of the specified length


The array array satisfies the test if:


    

  • its storage class is CHAR;
    • 

  • it has two dimensions but only one row;
    • 

  • length < 0 or the array has length columns. 
    • 














  

  
      

        

          static vl_bool vlmxIsVector 
          (
          mxArray const * 
          array, 
        

        

          
          
          vl_index 
          numElements 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
arrayMATLAB array. 

    
numElementsnumber of elements (negative for any). 

  

  




Returns:
VL_TRUE if the array is a vecotr of the prescribed size. 


See also:
Array tests 













  

  
      

        

          static int vlmxNextOption 
          (
          mxArray const * 
          args[], 
        

        

          
          
          int 
          nargs, 
        

        

          
          
          vlmxOption const * 
          options, 
        

        

          
          
          int * 
          next, 
        

        

          
          
          mxArray const ** 
          optarg 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
argsMEX argument array. 

    
nargsMEX argument array length. 

    
optionsList of option definitions. 

    
nextPointer to the next option (input and output). 

    
optargPointer to the option optional argument (output). 

  

  




Returns:
the code of the next option, or -1 if there are no more options.


The function parses the array args for options. args is expected to be a sequence alternating option names and option values, in the form of nargs instances of mxArray. The function then scans the option starting at position next in the array. The option name is matched (case insensitive) to the table of options options, a pointer to the option value is stored in optarg, next is advanced to the next option, and the option code is returned.


The function is typically used in a loop to parse all the available options. next is initialized to zero, and then the function is called until the special code -1 is returned.


If the option name cannot be matched to the available options, either because the option name is not a string array or because the name is unknown, the function exits the MEX file with an error. 













  

  
      

        

          static void vlmxWarning 
          (
          VlmxErrorId 
          errorId, 
        

        

          
          
          char const * 
          errorMessage, 
        

        

          
          
           
          ... 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
errorIderror ID string. 

    
errorMessageerror message C-style format string. 

    
...format string arguments.

  

  




The function internally calls mxWarnMsgTxtAndId. 








     
    

   

   
 

  
 
   
 
 

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Functions  

  


mser.c File Reference
  







MSER - Definition.  
More...


#include "mser.h"

#include <stdlib.h>

#include <string.h>

#include <assert.h>





Functions


void adv (int ndims, int const *dims, int *subs)


 Advance N-dimensional subscript.  


vl_uint climb (VlMserReg *r, vl_uint idx)


 Climb the region forest to reach aa root.  


VlMserFilt * vl_mser_new (int ndims, int const *dims)


 Create a new MSER filter.  


void vl_mser_delete (VlMserFilt *f)


 Delete MSER filter.  


void vl_mser_process (VlMserFilt *f, vl_mser_pix const *im)


 Process image.  


void vl_mser_ell_fit (VlMserFilt *f)


 Fit ellipsoids.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation








  

  
      

        

          void adv 
          (
          int 
          ndims, 
        

        

          
          
          int const * 
          dims, 
        

        

          
          
          int * 
          subs 
        

        

          
          )
          
        

      

  		
  
inline  
  






The function increments by one the subscript subs indexing an array the ndims dimensions dims.


Parameters:

  

    
ndimsnumber of dimensions. 

    
dimsdimensions. 

    
subssubscript to advance. 

  

  















  

  
      

        

          vl_uint climb 
          (
          VlMserReg * 
          r, 
        

        

          
          
          vl_uint 
          idx 
        

        

          
          )
          
        

      

  		
  
inline  
  






The function climbs the regions forest r starting from the node idx to the corresponding root.


To speed-up the operation, the function uses the VlMserReg::shortcut field to quickly jump to the root. After the root is reached, all the used shortcut are updated.


Parameters:

  

    
rregions' forest. 

    
idxstating node. 

  

  




Returns:
index of the reached root. 











      

        

          void vl_mser_delete 
          (
          VlMserFilt * 
          f)
          
        

      




The function releases the MSER filter f and all its resources.


Parameters:

  

    
fMSER filter to be deleted. 

  

  













      

        

          void vl_mser_ell_fit 
          (
          VlMserFilt * 
          f)
          
        

      




Parameters:

  

    
fMSER filter.

  

  




See also:
Ellipsoids 











      

        

          VlMserFilt* vl_mser_new 
          (
          int 
          ndims, 
        

        

          
          
          int const * 
          dims 
        

        

          
          )
          
        

      




Initializes a new MSER filter for images of the specified dimensions. Images are ndims -dimensional arrays of dimensions dims.


Parameters:

  

    
ndimsnumber of dimensions. 

    
dimsdimensions. 

  

  













      

        

          void vl_mser_process 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          vl_mser_pix const * 
          im 
        

        

          
          )
          
        

      




The functions calculates the Maximally Stable Extremal Regions (MSERs) of image im using the MSER filter f.


The filter f must have been initialized to be compatible with the dimensions of im.


Parameters:

  

    
fMSER filter. 

    
imimage data. 

  

  










     
    

   

   
 

  
 
   
 
 

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Data Structures |
Macros |
Typedefs  

  


mser.h File Reference
  







MSER (Maximally Stable Extremal Regions)  
More...


#include "generic.h"





Data Structures


struct  VlMserStats


 MSER filter statistics definition.  More...


struct  VlMserReg


 MSER: basic region (declaration)  More...


struct  VlMserExtrReg


 MSER: extremal region (declaration)  More...


struct  VlMserFilt


 MSER filter.  More...





Macros


#define VL_MSER_PIX_MAXVAL   256


 Maximum value.  


#define VL_MSER_VOID_NODE   ((1ui64<<32) - 1)


 Basic region flag: null region.  





Typedefs


typedef vl_uint8 vl_mser_pix


 MSER image data type.  


typedef float vl_mser_acc


 MSER accumulator data type.  





Functions


Construction and Destruction


VlMserFilt * vl_mser_new (int ndims, int const *dims)


 Create a new MSER filter.  


void vl_mser_delete (VlMserFilt *f)


 Delete MSER filter.  


Processing


void vl_mser_process (VlMserFilt *f, vl_mser_pix const *im)


 Process image.  


void vl_mser_ell_fit (VlMserFilt *f)


 Fit ellipsoids.  


Retrieving data


vl_uint vl_mser_get_regions_num (VlMserFilt const *f)


 Get number of maximally stable extremal regions.  


vl_uint const * vl_mser_get_regions (VlMserFilt const *f)


 Get maximally stable extremal regions.  


float const * vl_mser_get_ell (VlMserFilt const *f)


 Get ellipsoids.  


vl_uint vl_mser_get_ell_num (VlMserFilt const *f)


 Get number of ellipsoids.  


vl_uint vl_mser_get_ell_dof (VlMserFilt const *f)


 Get number of degrees of freedom of ellipsoids.  


VlMserStats const * vl_mser_get_stats (VlMserFilt const *f)


 Get statistics.  


Retrieving parameters


vl_mser_pix vl_mser_get_delta (VlMserFilt const *f)


 Get delta.  


double vl_mser_get_min_area (VlMserFilt const *f)


 Get minimum region area.  


double vl_mser_get_max_area (VlMserFilt const *f)


 Get maximum region area.  


double vl_mser_get_max_variation (VlMserFilt const *f)


 Get maximum region variation.  


double vl_mser_get_min_diversity (VlMserFilt const *f)


 Get minimum diversity.  


Setting parameters


void vl_mser_set_delta (VlMserFilt *f, vl_mser_pix x)


 Set delta.  


void vl_mser_set_min_area (VlMserFilt *f, double x)


 Set minimum region area.  


void vl_mser_set_max_area (VlMserFilt *f, double x)


 Set maximum region area.  


void vl_mser_set_max_variation (VlMserFilt *f, double x)


 Set maximum region variation.  


void vl_mser_set_min_diversity (VlMserFilt *f, double x)


 Set minimum diversity.  




Detailed Description


implements the Maximally Stable Extremal Regions (MSER) feature detetctor [10] .




Maximally Stable Extremal Regions Overview


Running the MSER filter usually involves the following steps:




MSER definition


An extremal region $R_l$ of an image is a connected component of the level set $S_l = \{ x : I(x) \leq l \}$.



mser-er.png



For each intensity $l$, one has multiple disjoint extremal regions in the level set $S_l$. Let $l$ span a finite number of values $\mathcal{L}=\{0,\dots,M-1\}$ (a sampling of the image range). One obtains a family of regions $R_l$; by connecting two regions $R_l$and $R_{l+1}$ if, and only if, $R_l\subset R_{l+1}$, regions form a tree:



mser-tree.png



The maximally stable extremal regions are extremal regions which satisfy a stability criterion. Here we use a criterion which is similar but not identical to the original paper. This definition is somewhat simpler both to understand and code (it also runs faster).


Let $B(R_l)=(R_l,R_{l+1},\dots,R_{l+\Delta})$ be the branch of the tree rooted at $R_l$. We associate to the branch the (in)stability score



\[ v(R_l) = \frac{|R_{l+\Delta} - R_l|}{|R_l|}. \]



The score is low if the regions along the branch have similar area (and thus similar shape). We aim to select maximally stable branches; then a maximally stable region is just a representative region selected from a maximally stable branch (for simplicity we select $R_l$, but one could choose for example $R_{l+\Delta/2}$).


Roughly speaking, a branch is maximally stable if it is a local minimum of the (in)stability score. More accurately, we start by assuming that all branches are maximally stable. Then we consider each branch $B(R_{l})$ and its parent branch $B(R_{l+1}):R_{l+1}\supset R_l$ (notice that, due to the discrete nature of the calculations, they might be geometrically identical) and we mark as unstable the less stable one, i.e.:


    

  • if $v(R_l)<v(R_{l+1})$, mark $R_{l+1}$ as unstable;
    • 

  • if $v(R_l)>v(R_{l+1})$, mark $R_{l}$ as unstable;
    • 

  • otherwise, do nothing.
    • 



This criterion selects among nearby regions the ones that are more stable. We optionally refine the selection by running (starting from the bigger and going to the smaller regions) the following tests:


    

  • $a_- \leq |R_{l}|/|R_{\infty}| \leq a_+$: exclude MSERs too small or too big ( $|R_{\infty}|$ is the area of the image).
    • 



    

  • $v(R_{l}) < v_+$: exclude MSERs too unstable.
    • 





Volumetric images


The code supports images of arbitrary dimension. For instance, it is possible to find the MSER regions of volumetric images or time sequences. See vl_mser_new() for further details



Ellipsoids


Usually extremal regions are returned as a set of ellipsoids fitted to the actual regions (which have arbitrary shape). The fit is done by calculating the mean and variance of the pixels composing the region: 



\[ \mu_l = \frac{1}{|R_l|}\sum_{x\in R_l}x, \qquad \Sigma_l = \frac{1}{|R_l|}\sum_{x\in R_l} (x-\mu_l)^\top(x-\mu_l) \]



 Ellipsoids are fitted by vl_mser_ell_fit(). Notice that for a n dimensional image, the mean has n components and the variance has n(n+1)/2 independent components. The total number of components is obtained by vl_mser_get_ell_dof() and the total number of fitted ellipsoids by vl_mser_get_ell_num(). A matrix with an ellipsoid per column is returned by vl_mser_get_ell(). The column is the stacking of the mean and of the independent components of the variance, in the order (1,1),(1,2),..,(1,n), (2,2),(2,3).... In the calculations, the pixel coordinate $x=(x_1,...,x_n)$ use the standard index order and ranges.



Algorithm


The algorithm is quite efficient. While some details may be tricky, the overall idea is easy to grasp.


    

  • Pixels are sorted by increasing intensity.
    • 

  • Pixels are added to a forest by increasing intensity. The forest has the following properties:
      

    • All the descendent of a certain pixels are subset of an extremal region.
      • 

    • All the extremal regions are the descendants of some pixels.
      • 

    

    • 

  • Extremal regions are extracted from the region tree and the extremal regions tree is calculated.
    • 

  • Stable regions are marked.
    • 

  • Duplicates and other bad regions are removed.
    • 



Remarks:
The extremal region tree which is calculated is a subset of the actual extremal region tree. In particular, it does not contain redundant entries extremal regions that coincide as sets. So, for example, in the calculated extremal region tree, the parent $R_q$ of an extremal region $R_{l}$ may or may not correspond to $R_{l+1}$, depending whether $q\leq l+1$ or not. These subtleties are important when calculating the stability tests.


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define VL_MSER_PIX_MAXVAL   256
        

      




Maximum value of the integer type vl_mser_pix. 











      

        

          #define VL_MSER_VOID_NODE   ((1ui64<<32) - 1)
        

      









Typedef Documentation






      

        

          typedef float vl_mser_acc
        

      




This is a large integer type. It should be large enough to contain a number equal to the area (volume) of the image by the image width by the image height (for instance, if the image is a square of side 256, the maximum value is 256 x 256 x 256). 











      

        

          typedef vl_uint8 vl_mser_pix
        

      




This is the data type of the image pixels. It has to be an integer. 







Function Documentation






      

        

          void vl_mser_delete 
          (
          VlMserFilt * 
          f)
          
        

      




The function releases the MSER filter f and all its resources.


Parameters:

  

    
fMSER filter to be deleted. 

  

  













      

        

          void vl_mser_ell_fit 
          (
          VlMserFilt * 
          f)
          
        

      




Parameters:

  

    
fMSER filter.

  

  




See also:
Ellipsoids 













  

  
      

        

          vl_mser_pix vl_mser_get_delta 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
value of delta. 













  

  
      

        

          float const * vl_mser_get_ell 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
ellipsoids. 













  

  
      

        

          vl_uint vl_mser_get_ell_dof 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
number of degrees of freedom. 













  

  
      

        

          vl_uint vl_mser_get_ell_num 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
number of ellipsoids 













  

  
      

        

          double vl_mser_get_max_area 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
maximum region area. 













  

  
      

        

          double vl_mser_get_max_variation 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
maximum region variation. 













  

  
      

        

          double vl_mser_get_min_area 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
minimum region area. 













  

  
      

        

          double vl_mser_get_min_diversity 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
value of minimum diversity. 













  

  
      

        

          vl_uint const * vl_mser_get_regions 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
array of MSER pivots. 













  

  
      

        

          vl_uint vl_mser_get_regions_num 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
number of MSERs. 













  

  
      

        

          VlMserStats const * vl_mser_get_stats 
          (
          VlMserFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

  

  




Returns:
statistics. 











      

        

          VlMserFilt* vl_mser_new 
          (
          int 
          ndims, 
        

        

          
          
          int const * 
          dims 
        

        

          
          )
          
        

      




Initializes a new MSER filter for images of the specified dimensions. Images are ndims -dimensional arrays of dimensions dims.


Parameters:

  

    
ndimsnumber of dimensions. 

    
dimsdimensions. 

  

  













      

        

          void vl_mser_process 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          vl_mser_pix const * 
          im 
        

        

          
          )
          
        

      




The functions calculates the Maximally Stable Extremal Regions (MSERs) of image im using the MSER filter f.


The filter f must have been initialized to be compatible with the dimensions of im.


Parameters:

  

    
fMSER filter. 

    
imimage data. 

  

  















  

  
      

        

          void vl_mser_set_delta 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          vl_mser_pix 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

    
xvalue of delta. 

  

  















  

  
      

        

          void vl_mser_set_max_area 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

    
xmaximum region area. 

  

  















  

  
      

        

          void vl_mser_set_max_variation 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

    
xmaximum region variation. 

  

  















  

  
      

        

          void vl_mser_set_min_area 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

    
xminimum region area. 

  

  















  

  
      

        

          void vl_mser_set_min_diversity 
          (
          VlMserFilt * 
          f, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fMSER filter. 

    
xvalue of minimum diversity. 

  

  










     
    

   

   
 

  
 
   
 
 

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PEGASOS SVM solver 
  






Author:
Daniele Perrone 



Andrea Vedaldi


pegasos.h provides a basic implementation of the PEGASOS [12] linear SVM solver.




Overview


PEGASOS solves the linear SxVM learning problem



\[ \min_{w} \frac{\lambda}{2} \|w\|^2 + \frac{1}{m} \sum_{i=1}^n \ell(w; (x_i,y_i)) \]



where $ x_i $ are data vectors in $ \mathbb{R}^d $, $ y_i \in \{-1,1\} $ are binary labels, $ \lambda > 0 $ is the regularization parameter, and



\[ \ell(w;(x_i,y_i)) = \max\{0, 1 - y_i \langle w,x_i\rangle\}. \]



is the hinge loss. The result of the optimization is a model $ w \in \mathbb{R}^d $ that yields the decision function



\[ F(x) = \operatorname{sign} \langle w, x\rangle. \]



It is well known that the hinge loss is a convex upper bound of the i01-loss of the decision function:



\[ \ell(w;(x,y)) \geq \frac{1}{2}(1 - y F(x)). \]



PEGASOS is accessed by calling vl_svmpegasos_train or vl_svmpegasos_train_validation_data.



Algorithm


PEGASOS [12] is a stochastic subgradient optimizer. At the t-th iteration the algorithm:


    

  • Samples uniformly at random as subset $ A_t$ of k of training pairs $(x,y)$ from the m pairs provided for training (this subset is called mini batch).
    • 

  • Computes a subgradient $ \nabla_t $ of the function $ E_t(w) = \frac{1}{2}\|w\|^2 + \frac{1}{k} \sum_{(x,y) \in A_t} \ell(w;(x,y)) $ (this is the SVM objective function restricted to the minibatch).
    • 

  • Compute an intermediate weight vector $ w_{t+1/2} $ by doing a step $ w_{t+1/2} = w_t - \alpha_t \nalba_t $ with learning rate $ \alpha_t = 1/(\eta t) $ along the subgradient. Note that the learning rate is inversely proportional to the iteration numeber.
    • 

  • Back projects the weight vector $ w_{t+1/2} $ on the hypersphere of radius $ \sqrt{\lambda} $ to obtain the next model estimate $ w_{t+1} $: 
    
\[ w_t = \min\{1, \sqrt{\lambda}/\|w\|\} w_{t+1/2}. \]

    
 The hypersfere is guaranteed to contain the optimal weight vector $ w^* $ [12] .
    • 



VLFeat implementation fixes to one the size of the mini batches $ k $.



Bias


PEGASOS SVM formulation does not incorporate a bias. To learn an SVM with bias, the each data vector $ x $ can be extended by a constant component $ B $ (called svm->biasMultiplier in the code). In this case, the model $ w $ has dimension $ D + 1 $ and the SVM discriminat function is given by $ F(x) = \operatorname{sign} (\langle w_{1:d}, x\rangle+ w_{d+1} B) $. In our implementation the bias is kept in the variabl svm->bias and the model has dimension $ D $. If the bias multiplier B is large enough, the weight $ w_{d+1} $ remains small and it has small contribution in the SVM regularization term $ \| w \|^2 $, better approximating the case of an SVM with bias. Unfortunately, setting the bias multiplier $ B $ to a large value makes the optimization harder.



Restarting


VLFeat PEGASOS implementation can be restarted after any given number of iterations. This is useful to compute intermediate statistics or to load new data from disk for large datasets. It sufficient to use the Svm state object as input for the next run. Notice that a model learned using a "stopped-restarted" solver could slightly differ from one learned from a unique run of the solver. The difference could be more noticable if the user provides a permutation to decide the order of the data points visits.



Permutation


VLFeat PEGASOS can use a user-defined permutation to decide the order in which data points are visited (instead of using random sampling). By specifying a permutation the algorithm is guaranteed to visit each data point exactly once in each loop. The permutation needs not to be bijective. This can be used to visit certain data samples more or less often than others, implicitly reweighting their relative importance in the SVM objective function. This can be used to blanace the data.



Non-linear kernels


PEGASOS can be extended to non-linear kernels, but the algorithm is not particularly efficient in this setting [1]. When possible, it may be preferable to work with explicit feature maps.


Let $ k(x,y) $ be a positive definite kernel. A feature map is a function $ \Psi(x) $ such that $ k(x,y) = \langle \Psi(x), \Psi(y) \rangle $. Using this representation the non-linear SVM learning objective function writes:



\[ \min_{w} \frac{\lambda}{2} \|w\|^2 + \frac{1}{m} \sum_{i=1}^n \ell(w; (\Psi(x)_i,y_i)). \]



Thus the only difference with the linear case is that the feature $ \Psi(x) $ is used in place of the data $ x $.


$ \Psi(x) $ can be learned off-line, for instance by using the incomplete Cholesky decomposition $ V^\top V $ of the Gram matrix $ K = [k(x_i,x_j)] $ (in this case $ \Psi(x_i) $ is the i-th columns of V). Alternatively, for additive kernels (e.g. intersection, Chi2) the explicit feature map computed by homkermap.h can be used.


For additive kernels it is also possible to perform the feature expansion online inside the solver, setting the specific feature map via vl_svmdataset_set_map. This is particular useful to keep the size of the training data small, when the number of the samples is big or the memory is limited. 



     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Functions  

  


pegasos.c File Reference
  







PEGASOS - Definition.  
More...


#include "pegasos.h"

#include "mathop.h"

#include <math.h>

#include "pegasos.c"





Functions


VlSvmPegasos * vl_svmpegasos_new (vl_size dimension, double lambda)


 Create a new VlSvmPegasos structure.  


void vl_svmpegasos_delete (VlSvmPegasos *svm, vl_bool freeModel)


 Delete a VlSvmPegasos structure.  




Detailed Description


Author:
Daniele Perrone 



Andrea Vedaldi 


Function Documentation






      

        

          void vl_svmpegasos_delete 
          (
          VlSvmPegasos * 
          svm, 
        

        

          
          
          vl_bool 
          freeModel 
        

        

          
          )
          
        

      




Parameters:

  

    
@refVlSvmPegasos structure.

  

  




The function frees the resources allocated by vl_svmpegasos_new(). 











      

        

          VlSvmPegasos* vl_svmpegasos_new 
          (
          vl_size 
          dimension, 
        

        

          
          
          double 
          lambda 
        

        

          
          )
          
        

      




Parameters:

  

    
dimensionsvm model dimension. 

    
lambdapegasos regularization parameter.

  

  




This function allocates and returns a new VlSvmPegasos structure.


Returns:
the new VlSvmPegasos structure. 


See also:
vl_svmpegasos_delete 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Typedefs |
Functions  

  


pegasos.h File Reference
  







PEGASOS (PEGASOS SVM solver)  
More...


#include "svmdataset.h"





Data Structures


struct  VlSvmObjective


 Binary Svm Objective Function.  More...


struct  VlSvmPegasos


 Pegasos Svm Solver.  More...





Typedefs


typedef void(* VlSvmDiagnostics )(void *svm)


 Pointer to a function called at each iteration for diagnostics purpose.  





Functions


vl_size vl_svmpegasos_get_permutationsize (VlSvmPegasos const *self)


 Get permutation size.  


Create and destroy


VlSvmPegasos * vl_svmpegasos_new (vl_size dimension, double lambda)


 Create a new VlSvmPegasos structure.  


void vl_svmpegasos_delete (VlSvmPegasos *svm, vl_bool freeModel)


 Delete a VlSvmPegasos structure.  


Training Fuctions


void vl_svmpegasos_train (VlSvmPegasos *svm, void *data, vl_size numSamples, VlSvmDatasetInnerProduct innerProduct, VlSvmDatasetAccumulator accumulator, vl_int8 const *labels)


void vl_svmpegasos_train_validation_data (VlSvmPegasos *svm, void *data, vl_size numSamples, VlSvmDatasetInnerProduct innerProduct, VlSvmDatasetAccumulator accumulator, vl_int8 const *labels, void *validation, vl_size validationNumSamples, vl_int8 const *validationLabels)


Retrieve data and parameters


double * vl_svmpegasos_get_model (VlSvmPegasos const *self)


 Get svm model.  


double vl_svmpegasos_get_bias (VlSvmPegasos const *self)


 Get bias.  


vl_size vl_svmpegasos_get_dimension (VlSvmPegasos const *self)


 Get model dimension.  


vl_size vl_svmpegasos_get_iterations (VlSvmPegasos const *self)


 Get number of Iterations performed so far.  


vl_size vl_svmpegasos_get_maxiterations (VlSvmPegasos const *self)


 Get maximum number of iterations.  


double vl_svmpegasos_get_epsilon (VlSvmPegasos const *self)


 Get stopping criterion threshold.  


double vl_svmpegasos_get_lambda (VlSvmPegasos const *self)


 Get regularization parameter lambda.  


double vl_svmpegasos_get_bias_multiplier (VlSvmPegasos const *self)


 Get bias multiplier.  


double vl_svmpegasos_get_elapsed_time (VlSvmPegasos const *self)


 Get the execution time in seconds.  


vl_size vl_svmpegasos_get_energy_frequency (VlSvmPegasos const *self)


 Get how frequent the full energy is computed.  


double vl_svmpegasos_get_bias_learningrate (VlSvmPegasos const *self)


 Get bias learning rate.  


VlSvmObjective * vl_svmpegasos_get_objective (VlSvmPegasos const *self)


 Get svm objective energy.  


VlRand * vl_svmpegasos_get_random_generator (VlSvmPegasos const *self)


 Get random generator.  


vl_uint32 * vl_svmpegasos_get_permutation (VlSvmPegasos const *self)


 Get permutation.  



vl_size vl_svmpegasos_get_permutation_size (VlSvmPegasos const *self)


VlSvmDiagnostics vl_svmpegasos_get_diagnostic (VlSvmPegasos const *self)


 Get Diagnostic Function.  


void * vl_svmpegasos_get_diagnostic_caller_ref (VlSvmPegasos const *self)


 Get Diagnostic Function Caller Reference Object.  


Set parameters


void vl_svmpegasos_set_model (VlSvmPegasos *self, double *m)


 Set pegasos model.  


void vl_svmpegasos_set_bias (VlSvmPegasos *self, double b)


 Set pegasos bias.  


void vl_svmpegasos_set_maxiterations (VlSvmPegasos *self, vl_size i)


 Set pegasos max iterations.  


void vl_svmpegasos_set_iterations (VlSvmPegasos *self, vl_size i)


 Set pegasos performed iterations.  


void vl_svmpegasos_set_epsilon (VlSvmPegasos *self, double e)


 Set pegasos stopping criterion threshold.  


void vl_svmpegasos_set_lambda (VlSvmPegasos *self, double l)


 Set lambda.  


void vl_svmpegasos_set_bias_multiplier (VlSvmPegasos *self, double b)


 Set bias multiplier.  


void vl_svmpegasos_set_energy_frequency (VlSvmPegasos *self, vl_size e)


 Set how frequent the full energy is computed.  


void vl_svmpegasos_set_bias_learningrate (VlSvmPegasos *self, double blr)


 Set bias learning rate.  


void vl_svmpegasos_set_random_generator (VlSvmPegasos *self, VlRand *r)


 Set random generator.  


void vl_svmpegasos_set_permutation (VlSvmPegasos *self, vl_uint32 *p, vl_size psize)


 Set permutation.  


void vl_svmpegasos_set_diagnostic (VlSvmPegasos *self, VlSvmDiagnostics d, void *cr)


 Set Diagnostic Function.  




Detailed Description


Author:
Daniele Perrone 



Andrea Vedaldi 


Typedef Documentation






      

        

          VlSvmDiagnostics
        

      




This type defines a function will be called at each iteration of the algorithm. The parameter svm is an instance of the Svm Status VlSvmPegasos. 







Function Documentation






      

        

          void vl_svmpegasos_delete 
          (
          VlSvmPegasos * 
          svm, 
        

        

          
          
          vl_bool 
          freeModel 
        

        

          
          )
          
        

      




Parameters:

  

    
@refVlSvmPegasos structure.

  

  




The function frees the resources allocated by vl_svmpegasos_new(). 













  

  
      

        

          double vl_svmpegasos_get_bias 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
bias value. 













  

  
      

        

          double vl_svmpegasos_get_bias_learningrate 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
bias learning rate. 













  

  
      

        

          double vl_svmpegasos_get_bias_multiplier 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
bias multiplier. 













  

  
      

        

          VlSvmDiagnostics vl_svmpegasos_get_diagnostic 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
pointer to diagnostic function. 













  

  
      

        

          void * vl_svmpegasos_get_diagnostic_caller_ref 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
pointer to diagnostic function caller reference object. 













  

  
      

        

          vl_size vl_svmpegasos_get_dimension 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
model dimension without considering the bias value. 













  

  
      

        

          double vl_svmpegasos_get_elapsed_time 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
elapsed time. 













  

  
      

        

          vl_size vl_svmpegasos_get_energy_frequency 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
energy computation frequency. 













  

  
      

        

          double vl_svmpegasos_get_epsilon 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
stopping criterion threshold. 













  

  
      

        

          vl_size vl_svmpegasos_get_iterations 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
number of iterations performed so far. 













  

  
      

        

          double vl_svmpegasos_get_lambda 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
lambda. 













  

  
      

        

          vl_size vl_svmpegasos_get_maxiterations 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
maximum number of iterations. 













  

  
      

        

          double * vl_svmpegasos_get_model 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
pointer to model. 













  

  
      

        

          VlSvmObjective * vl_svmpegasos_get_objective 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
objective energy. 













  

  
      

        

          vl_uint32 * vl_svmpegasos_get_permutation 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
permutation. 













  

  
      

        

          vl_size vl_svmpegasos_get_permutationsize 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
permutation size. 













  

  
      

        

          VlRand * vl_svmpegasos_get_random_generator 
          (
          VlSvmPegasos const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

  

  




Returns:
random generator. 











      

        

          VlSvmPegasos* vl_svmpegasos_new 
          (
          vl_size 
          dimension, 
        

        

          
          
          double 
          lambda 
        

        

          
          )
          
        

      




Parameters:

  

    
dimensionsvm model dimension. 

    
lambdapegasos regularization parameter.

  

  




This function allocates and returns a new VlSvmPegasos structure.


Returns:
the new VlSvmPegasos structure. 


See also:
vl_svmpegasos_delete 













  

  
      

        

          void vl_svmpegasos_set_bias 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          double 
          b 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
bbias. 

  

  















  

  
      

        

          void vl_svmpegasos_set_bias_learningrate 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          double 
          blr 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
blrbias learning rate. 

  

  















  

  
      

        

          void vl_svmpegasos_set_bias_multiplier 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          double 
          b 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
bbias multiplier. 

  

  















  

  
      

        

          void vl_svmpegasos_set_diagnostic 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          VlSvmDiagnostics 
          d, 
        

        

          
          
          void * 
          cr 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
dDiagnostic Function. 

    
crDiagnostic Function Caller Reference. 

  

  















  

  
      

        

          void vl_svmpegasos_set_energy_frequency 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          vl_size 
          e 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
eenergy compuation frequency. 

  

  















  

  
      

        

          void vl_svmpegasos_set_epsilon 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          double 
          e 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
estopping criterion threshold. 

  

  















  

  
      

        

          void vl_svmpegasos_set_iterations 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          vl_size 
          i 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
ipegasos performed iterations. 

  

  















  

  
      

        

          void vl_svmpegasos_set_lambda 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          double 
          l 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
llambda. 

  

  















  

  
      

        

          void vl_svmpegasos_set_maxiterations 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          vl_size 
          i 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
ipegasos max iterations. 

  

  















  

  
      

        

          void vl_svmpegasos_set_model 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          double * 
          m 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
msvm model.

  

  




If there is a model already allocated, this method frees it before substituting it with the new one. 













  

  
      

        

          void vl_svmpegasos_set_permutation 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          vl_uint32 * 
          p, 
        

        

          
          
          vl_size 
          psize 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
ppermutation. 

    
psizepermutation size. 

  

  















  

  
      

        

          void vl_svmpegasos_set_random_generator 
          (
          VlSvmPegasos * 
          self, 
        

        

          
          
          VlRand * 
          r 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfPegasos Svm Solver. 

    
rrandom generator. 

  

  













      

        

          vl_svmpegasos_train 
          (
          VlSvmPegasos * 
          svm, 
        

        

          
          
          void * 
          data, 
        

        

          
          
          vl_size 
          numSamples, 
        

        

          
          
          VlSvmDatasetInnerProduct 
          innerProduct, 
        

        

          
          
          VlSvmDatasetAccumulator 
          accumulator, 
        

        

          
          
          vl_int8 const * 
          labels 
        

        

          
          )
          
        

      




Parameters:

  

    
svm(in & out) svm status. 

    
datatraining vectors. 

    
numSamplesnumber of training data vectors. 

    
innerProductfunction defining the innerProduct between the model and a data point. 

    
accumulatorfunction definint the sum between the model and a data point. 

    
labelslabels of the training vectors.

  

  




The function runs PEGASOS on the specified data. The structure svm should be initialized using vl_svmpegasos_new. The vector svm->model must have the dimension equal to svm->dimension. if a bias is used, svm->biasMultiplier must be non-zero, and the output value will be saved in svm->bias.


The function runs PEGASOS for iterations t in the interval [svm->iterations, svm->maxIterations]. If the intial status is initializied using vl_svmpegasos_new svm->iterations is equal to zero.


PEGASOS select the next point for computing the gradient at random. If svm->randomGenerator is NULL, the default random generator (as returned by vl_get_rand()) is used.


Alternatively, if svm->permutation is not NULL, then points are sampled in the order specified by this vector of indexes (this is cycled through). In this way It is an error to set both svm->randomGenerator and svm->permutation to non-null values.


See the Overview overview for details. 











      

        

          vl_svmpegasos_train_validation_data 
          (
          VlSvmPegasos * 
          svm, 
        

        

          
          
          void * 
          data, 
        

        

          
          
          vl_size 
          numSamples, 
        

        

          
          
          VlSvmDatasetInnerProduct 
          innerProduct, 
        

        

          
          
          VlSvmDatasetAccumulator 
          accumulator, 
        

        

          
          
          vl_int8 const * 
          labels, 
        

        

          
          
          void * 
          validation, 
        

        

          
          
          vl_size 
          validationNumSamples, 
        

        

          
          
          vl_int8 const * 
          validationLabels 
        

        

          
          )
          
        

      




Parameters:

  

    
svm(in & out) svm status. 

    
datatraining vectors. 

    
numSamplesnumber of training data vectors. 

    
innerProductfunction defining the innerProduct between the model and a data point. 

    
accumulatorfunction definint the sum between the model and a data point. 

    
labelslabels of the training vectors. 

    
validationvalidation data. 

    
validationNumSamplesnumber of validation data vectors. 

    
validationLabelslabels of the validation data.

  

  




The function is the same algorithm of vl_svmpegasos_train, but computes the objective function statistics on a validation dataset, instead of using the training dataset also for this purpose.


See also:
vl_svmpegasos_train 








     
    

   

   
 

  
 
   
 
 

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   Documentation - C API
  

  

    
   

    
    




  

Functions  

  


pgm.c File Reference
  







Portable graymap format (PGM) parser - Definition.  
More...


#include "pgm.h"

#include <stdio.h>

#include <stdlib.h>

#include <string.h>





Functions


static int remove_line (FILE *f)


 Remove all characters to the next new-line.  


static int remove_blanks (FILE *f)


 Remove white-spaces and comments.  


vl_size vl_pgm_get_npixels (VlPgmImage const *im)


 Get PGM image number of pixels.  


vl_size vl_pgm_get_bpp (VlPgmImage const *im)


 Get PGM image bytes per pixel.  


int vl_pgm_extract_head (FILE *f, VlPgmImage *im)


 Extract PGM header from stream.  


int vl_pgm_extract_data (FILE *f, VlPgmImage const *im, void *data)


 Extract PGM data from stream.  


int vl_pgm_insert (FILE *f, VlPgmImage const *im, void const *data)


 Insert a PGM image into a stream.  


int vl_pgm_read_new (char const *name, VlPgmImage *im, vl_uint8 **data)


 Read a PGM file.  


int vl_pgm_read_new_f (char const *name, VlPgmImage *im, float **data)


 Read floats from a PGM file.  


int vl_pgm_write (char const *name, vl_uint8 const *data, int width, int height)


 Write bytes to a PGM file.  


int vl_pgm_write_f (char const *name, float const *data, int width, int height)


 Write floats to PGM file.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation








  

  
      

        

          static int remove_blanks 
          (
          FILE * 
          f)
          
        

      

  		
  
static  
  






Parameters:

  

    
ffile to strip. 

  

  




Returns:
number of characters removed. 













  

  
      

        

          static int remove_line 
          (
          FILE * 
          f)
          
        

      

  		
  
static  
  






Parameters:

  

    
ffile to strip. 

  

  




Returns:
number of characters removed. 











      

        

          int vl_pgm_extract_data 
          (
          FILE * 
          f, 
        

        

          
          
          VlPgmImage const * 
          im, 
        

        

          
          
          void * 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
finput file. 

    
imPGM image descriptor. 

    
datadata buffer to fill.

  

  




The function extracts from the file f the data section of an image encoded in PGM format. The function fills the buffer data according. The buffer data should be vl_pgm_get_npixels() by vl_pgm_get_bpp() bytes large.


Returns:
error code. 











      

        

          int vl_pgm_extract_head 
          (
          FILE * 
          f, 
        

        

          
          
          VlPgmImage * 
          im 
        

        

          
          )
          
        

      




Parameters:

  

    
finput file. 

    
imimage structure to fill.

  

  




The function extracts from the file f the meta-data section of an image encoded in PGM format. The function fills the structure VlPgmImage accordingly.


Returns:
error code. The error may be either #VL_PGM_INV_HEAD or #VL_PGM_INV_META depending whether the error occurred in decoding the header or meta section of the PGM file. 











      

        

          vl_size vl_pgm_get_bpp 
          (
          VlPgmImage const * 
          im)
          
        

      




Parameters:

  

    
imPGM image descriptor.

  

  




The function returns the number of bytes for each pixel of the PGM image im.


Returns:
number of bytes per pixel. 











      

        

          vl_size vl_pgm_get_npixels 
          (
          VlPgmImage const * 
          im)
          
        

      




Parameters:

  

    
imPGM image descriptor.

  

  




The functions returns the number of pixels of the PGM image im.


To calculate the image data size in bytes, this value must be multiplied by the number of byte per pixels (see vl_pgm_get_bpp()).


Returns:
number of pixels of the image. 











      

        

          int vl_pgm_insert 
          (
          FILE * 
          f, 
        

        

          
          
          VlPgmImage const * 
          im, 
        

        

          
          
          void const * 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
foutput file. 

    
imPGM image meta-data. 

    
dataimage data. 

  

  




Returns:
error code. 











      

        

          int vl_pgm_read_new 
          (
          char const * 
          name, 
        

        

          
          
          VlPgmImage * 
          im, 
        

        

          
          
          vl_uint8 ** 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
ima pointer to the PGM image structure to fill. 

    
dataa pointer to the pointer to the allocated buffer.

  

  




The function reads a PGM image from file name and initializes the structure im and the buffer data accordingly.


The ownership of the buffer data is transfered to the caller. data should be freed by means of vl_free().


Bug:
Only PGM files with 1 BPP are supported.


Returns:
error code. 











      

        

          int vl_pgm_read_new_f 
          (
          char const * 
          name, 
        

        

          
          
          VlPgmImage * 
          im, 
        

        

          
          
          float ** 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
ima pointer to the PGM image structure to fill. 

    
dataa pointer to the pointer to the allocated buffer.

  

  




The function reads a PGM image from file name and initializes the structure im and the buffer data accordingly. The buffer data is an array of floats in the range [0, 1].


The ownership of the buffer data is transfered to the caller. data should be freed by means of vl_free().


Bug:
Only PGM files with 1 BPP are supported.


Returns:
error code. 











      

        

          int vl_pgm_write 
          (
          char const * 
          name, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
datadata to write. 

    
widthwidth of the image. 

    
heightheight of the image.

  

  




The function dumps the image data to the PGM file of the specified name. This is an helper function simplifying the usage of vl_pgm_insert().


Returns:
error code. 











      

        

          int vl_pgm_write_f 
          (
          char const * 
          name, 
        

        

          
          
          float const * 
          data, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
datadata to write. 

    
widthwidth of the image. 

    
heightheight of the image.

  

  




The function dumps the image data to the PGM file of the specified name. The data is re-scaled to fit in the range 0-255. This is an helper function simplifying the usage of vl_pgm_insert().


Returns:
error code. 








     
    

   

   
 

  
 
   
 
 

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Data Structures  

  


pgm.h File Reference
  







Portable graymap format (PGM) parser.  
More...


#include "generic.h"

#include "mathop.h"

#include <stdio.h>





Data Structures


struct  VlPgmImage


 PGM image meta data.  More...





Macros


PGM parser error codes


#define VL_ERR_PGM_INV_HEAD   101


#define VL_ERR_PGM_INV_META   102


#define VL_ERR_PGM_INV_DATA   103


#define VL_ERR_PGM_IO   104





Functions


Core operations


int vl_pgm_extract_head (FILE *f, VlPgmImage *im)


 Extract PGM header from stream.  


int vl_pgm_extract_data (FILE *f, VlPgmImage const *im, void *data)


 Extract PGM data from stream.  


int vl_pgm_insert (FILE *f, VlPgmImage const *im, void const *data)


 Insert a PGM image into a stream.  


vl_size vl_pgm_get_npixels (VlPgmImage const *im)


 Get PGM image number of pixels.  


vl_size vl_pgm_get_bpp (VlPgmImage const *im)


 Get PGM image bytes per pixel.  


Helper functions


int vl_pgm_write (char const *name, vl_uint8 const *data, int width, int height)


 Write bytes to a PGM file.  


int vl_pgm_write_f (char const *name, float const *data, int width, int height)


 Write floats to PGM file.  


int vl_pgm_read_new (char const *name, VlPgmImage *im, vl_uint8 **data)


 Read a PGM file.  


int vl_pgm_read_new_f (char const *name, VlPgmImage *im, float **data)


 Read floats from a PGM file.  




Detailed Description


This module implements basic input and ouptut of images in PGM format.


Extracting an image encoded in PGM format from an imput file stream involves the following steps:


    

  • use vl_pgm_extract_head to extract the image meta data (size and bit depth);
    • 

  • allocate a buffer to store the image data;
    • 

  • use vl_pgm_extract_data to extract the image data to the allocated buffer.
    • 



Writing an image in PGM format to an ouptut file stream can be done by using vl_pgm_insert.


To quickly read/write a PGM image from/to a given file, use vl_pgm_read_new() and vl_pgm_write(). To to the same from a buffer in floating point format use vl_pgm_read_new_f() and vl_pgm_write_f().


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define VL_ERR_PGM_INV_DATA   103
        

      




Invalid PGM data section 











      

        

          #define VL_ERR_PGM_INV_HEAD   101
        

      




Invalid PGM header section 











      

        

          #define VL_ERR_PGM_INV_META   102
        

      




Invalid PGM meta section 











      

        

          #define VL_ERR_PGM_IO   104
        

      




Generic I/O error 







Function Documentation






      

        

          int vl_pgm_extract_data 
          (
          FILE * 
          f, 
        

        

          
          
          VlPgmImage const * 
          im, 
        

        

          
          
          void * 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
finput file. 

    
imPGM image descriptor. 

    
datadata buffer to fill.

  

  




The function extracts from the file f the data section of an image encoded in PGM format. The function fills the buffer data according. The buffer data should be vl_pgm_get_npixels() by vl_pgm_get_bpp() bytes large.


Returns:
error code. 











      

        

          int vl_pgm_extract_head 
          (
          FILE * 
          f, 
        

        

          
          
          VlPgmImage * 
          im 
        

        

          
          )
          
        

      




Parameters:

  

    
finput file. 

    
imimage structure to fill.

  

  




The function extracts from the file f the meta-data section of an image encoded in PGM format. The function fills the structure VlPgmImage accordingly.


Returns:
error code. The error may be either #VL_PGM_INV_HEAD or #VL_PGM_INV_META depending whether the error occurred in decoding the header or meta section of the PGM file. 











      

        

          vl_size vl_pgm_get_bpp 
          (
          VlPgmImage const * 
          im)
          
        

      




Parameters:

  

    
imPGM image descriptor.

  

  




The function returns the number of bytes for each pixel of the PGM image im.


Returns:
number of bytes per pixel. 











      

        

          vl_size vl_pgm_get_npixels 
          (
          VlPgmImage const * 
          im)
          
        

      




Parameters:

  

    
imPGM image descriptor.

  

  




The functions returns the number of pixels of the PGM image im.


To calculate the image data size in bytes, this value must be multiplied by the number of byte per pixels (see vl_pgm_get_bpp()).


Returns:
number of pixels of the image. 











      

        

          int vl_pgm_insert 
          (
          FILE * 
          f, 
        

        

          
          
          VlPgmImage const * 
          im, 
        

        

          
          
          void const * 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
foutput file. 

    
imPGM image meta-data. 

    
dataimage data. 

  

  




Returns:
error code. 











      

        

          int vl_pgm_read_new 
          (
          char const * 
          name, 
        

        

          
          
          VlPgmImage * 
          im, 
        

        

          
          
          vl_uint8 ** 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
ima pointer to the PGM image structure to fill. 

    
dataa pointer to the pointer to the allocated buffer.

  

  




The function reads a PGM image from file name and initializes the structure im and the buffer data accordingly.


The ownership of the buffer data is transfered to the caller. data should be freed by means of vl_free().


Bug:
Only PGM files with 1 BPP are supported.


Returns:
error code. 











      

        

          int vl_pgm_read_new_f 
          (
          char const * 
          name, 
        

        

          
          
          VlPgmImage * 
          im, 
        

        

          
          
          float ** 
          data 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
ima pointer to the PGM image structure to fill. 

    
dataa pointer to the pointer to the allocated buffer.

  

  




The function reads a PGM image from file name and initializes the structure im and the buffer data accordingly. The buffer data is an array of floats in the range [0, 1].


The ownership of the buffer data is transfered to the caller. data should be freed by means of vl_free().


Bug:
Only PGM files with 1 BPP are supported.


Returns:
error code. 











      

        

          int vl_pgm_write 
          (
          char const * 
          name, 
        

        

          
          
          vl_uint8 const * 
          data, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
datadata to write. 

    
widthwidth of the image. 

    
heightheight of the image.

  

  




The function dumps the image data to the PGM file of the specified name. This is an helper function simplifying the usage of vl_pgm_insert().


Returns:
error code. 











      

        

          int vl_pgm_write_f 
          (
          char const * 
          name, 
        

        

          
          
          float const * 
          data, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height 
        

        

          
          )
          
        

      




Parameters:

  

    
namefile name. 

    
datadata to write. 

    
widthwidth of the image. 

    
heightheight of the image.

  

  




The function dumps the image data to the PGM file of the specified name. The data is re-scaled to fit in the range 0-255. This is an helper function simplifying the usage of vl_pgm_insert().


Returns:
error code. 








     
    

   

   
 

  
 
   
 
 

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Macros |
Functions  

  


qsort-def.h File Reference
  







QSort preprocessor metaprogram.  
More...


#include "host.h"

#include <assert.h>





Macros


#define VL_QSORT_array   VL_QSORT_type*


#define VL_QSORT_prefix   QSortPrefix


#define VL_QSORT_type   QSortType


#define VL_QSORT_array   QSortType*





Functions


VL_QSORT_type VL_QSORT_cmp (VL_QSORT_array_const array, vl_uindex indexA, vl_uindex indexB)


 Compare two array elements.  


void VL_QSORT_swap (VL_QSORT_array array, vl_uindex indexA, vl_uindex indexB)


 Swap two array elements.  


void VL_QSORT_sort_recursive (VL_QSORT_array array, vl_uindex begin, vl_uindex end)


 Sort portion of an array using quicksort.  


void VL_QSORT_sort (VL_QSORT_array array, vl_size size)


 Sort array using quicksort.  




Detailed Description


Author:
Andrea Vedaldi



Overview


qsort-def.h is a metaprogram to define specialized instances of the quick-sort algorithm.



Usage


qsort-def.h is used to define a specialization of the VL_QSORT_sort function that operatoes on a given type of array. For instance the code


 #define VL_QSORT_type float


 #define VL_QSORT_prefix my_qsort


 #include <vl/qsort-def.h>


defines a function my_qsort_sort that operates on an array of floats.


Todo:
large array compatibility. 


Macro Definition Documentation






      

        

          #define VL_QSORT_array   VL_QSORT_type*
        

      




Data type of the qsort container 











      

        

          #define VL_QSORT_array   QSortType*
        

      




Data type of the qsort container 











      

        

          #define VL_QSORT_prefix   QSortPrefix
        

      




Prefix of the qsort functions 











      

        

          #define VL_QSORT_type   QSortType
        

      




Data type of the qsort elements 







Function Documentation








  

  
      

        

          VL_QSORT_type VL_QSORT_cmp 
          (
          VL_QSORT_array_const 
          array, 
        

        

          
          
          vl_uindex 
          indexA, 
        

        

          
          
          vl_uindex 
          indexB 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayqsort array. 

    
indexAindex of the first element A to compare. 

    
indexBindex of the second element B to comapre. 

  

  




Returns:
a negative number if A<B, 0 if A==B, and a positive number if if A>B. 













  

  
      

        

          void VL_QSORT_sort 
          (
          VL_QSORT_array 
          array, 
        

        

          
          
          vl_size 
          size 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
array(in/out) pointer to the array. 

    
sizesize of the array.

  

  




The function sorts the array using quick-sort. 













  

  
      

        

          void VL_QSORT_sort_recursive 
          (
          VL_QSORT_array 
          array, 
        

        

          
          
          vl_uindex 
          begin, 
        

        

          
          
          vl_uindex 
          end 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
array(in/out) pointer to the array. 

    
beginfirst element of the array portion. 

    
endlast element of the array portion.

  

  




The function sorts the array using quick-sort. Note that begin must be not larger than end. 













  

  
      

        

          void VL_QSORT_swap 
          (
          VL_QSORT_array 
          array, 
        

        

          
          
          vl_uindex 
          indexA, 
        

        

          
          
          vl_uindex 
          indexB 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayqsort array. 

    
indexAindex of the first element to swap. 

    
indexBindex of the second element to swap.

  

  




The function swaps the two elements a and @ b. The function uses a temporary element of type VL_QSORT_type and the copy operator =. 








     
    

   

   
 

  
 
   
 
 

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Quick shift image segmentation 
  






Author:
Brian Fulkerson 



Andrea Vedaldi


quickshift.h implements an image segmentation algorithm based on the quick shift clustering algorithm [15] .




Overview


Quick shift [15] is a fast mode seeking algorithm, similar to mean shift. The algorithm segments an RGB image (or any image with more than one channel) by identifying clusters of pixels in the joint spatial and color dimensions. Segments are local (superpixels) and can be used as a basis for further processing.


Given an image, the algorithm calculates a forest of pixels whose branches are labeled with a distance value (vl_quickshift_get_parents, vl_quickshift_get_dists). This specifies a hierarchical segmentation of the image, with segments corresponding to subtrees. Useful superpixels can be identified by cutting the branches whose distance label is above a given threshold (the threshold can be either fixed by hand, or determined by cross validation).


Parameter influencing the algorithm are:


    

  • Kernel size. The pixel density and its modes are estimated by using a Parzen window estimator with a Gaussian kernel of the specified size (vl_quickshift_set_kernel_size). The larger the size, the larger the neighborhoods of pixels considered.
    • 

  • Maximum distance. This (vl_quickshift_set_max_dist) is the maximum distance between two pixels that the algorithm considers when building the forest. In principle, it can be infinity (so that a tree is returned), but in practice it is much faster to consider only relatively small distances (the maximum distance can be set to a small multiple of the kernel size).
    • 




Usage




Technical details


For each pixel (x,y), quick shift regards $ (x,y,I(x,y)) $ as a sample from a d + 2 dimensional vector space. It then calculates the Parzen density estimate (with a Gaussian kernel of standard deviation $ \sigma $)



\[ E(x,y) = P(x,y,I(x,y)) = \sum_{x'y'} \frac{1}{(2\pi\sigma)^{d+2}} \exp \left( -\frac{1}{2\sigma^2} \left[ \begin{array}{c} x - x' \\ y - y' \\ I(x,y) - I(x',y') \\ \end{array} \right] \right) \]



Then quick shift construct a tree connecting each image pixel to its nearest neighbor which has greater density value. Formally, write $ (x',y') >_P (x,y) $ if, and only if,



\[ P(x',y',I(x',y')) > P(x,y,I(x,y))}. \]



Each pixel (x, y) is connected to the closest higher density pixel parent(x, y) that achieves the minimum distance in



\[ \mathrm{dist}(x,y) = \mathrm{min}_{(x',y') > P(x,y)} \left( (x - x')^2 + (y - y')^2 + \| I(x,y) - I(x',y') \|_2^2 \right). \]


 

     
    

   

   
 

  
 
   
 
 

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Functions  

  


quickshift.c File Reference
  







Quick shift - Definition.  
More...


#include "quickshift.h"

#include "mathop.h"

#include <string.h>

#include <math.h>

#include <stdio.h>





Functions


vl_qs_type vl_quickshift_distance (vl_qs_type const *I, int N1, int N2, int K, int i1, int i2, int j1, int j2)


 Computes the accumulated channel L2 distance between i,j + the distance between i,j.  


vl_qs_type vl_quickshift_inner (vl_qs_type const *I, int N1, int N2, int K, int i1, int i2, int j1, int j2)


 Computes the accumulated channel inner product between i,j + the distance between i,j.  


VlQS * vl_quickshift_new (vl_qs_type const *image, int height, int width, int channels)


 Create a quick shift object.  


void vl_quickshift_process (VlQS *q)


 Create a quick shift objet.  


void vl_quickshift_delete (VlQS *q)


 Delete quick shift object.  




Detailed Description


Author:
Brian Fulkerson 



Andrea Vedaldi 


Function Documentation






      

        

          void vl_quickshift_delete 
          (
          VlQS * 
          q)
          
        

      




Parameters:

  

    
qquick shift object. 

  

  















  

  
      

        

          vl_qs_type vl_quickshift_distance 
          (
          vl_qs_type const * 
          I, 
        

        

          
          
          int 
          N1, 
        

        

          
          
          int 
          N2, 
        

        

          
          
          int 
          K, 
        

        

          
          
          int 
          i1, 
        

        

          
          
          int 
          i2, 
        

        

          
          
          int 
          j1, 
        

        

          
          
          int 
          j2 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
Iinput image buffer 

    
N1size of the first dimension of the image 

    
N2size of the second dimension of the image 

    
Knumber of channels 

    
i1first dimension index of the first pixel to compare 

    
i2second dimension of the first pixel 

    
j1index of the second pixel to compare 

    
j2second dimension of the second pixel

  

  




Takes the L2 distance between the values in I at pixel i and j, accumulating along K channels and adding in the distance between i,j in the image.


Returns:
the distance as described above 













  

  
      

        

          vl_qs_type vl_quickshift_inner 
          (
          vl_qs_type const * 
          I, 
        

        

          
          
          int 
          N1, 
        

        

          
          
          int 
          N2, 
        

        

          
          
          int 
          K, 
        

        

          
          
          int 
          i1, 
        

        

          
          
          int 
          i2, 
        

        

          
          
          int 
          j1, 
        

        

          
          
          int 
          j2 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
Iinput image buffer 

    
N1size of the first dimension of the image 

    
N2size of the second dimension of the image 

    
Knumber of channels 

    
i1first dimension index of the first pixel to compare 

    
i2second dimension of the first pixel 

    
j1index of the second pixel to compare 

    
j2second dimension of the second pixel

  

  




Takes the channel-wise inner product between the values in I at pixel i and j, accumulating along K channels and adding in the inner product between i,j in the image.


Returns:
the inner product as described above 











      

        

          VlQS* vl_quickshift_new 
          (
          vl_qs_type const * 
          image, 
        

        

          
          
          int 
          height, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          channels 
        

        

          
          )
          
        

      




Parameters:

  

    
imagethe image. 

    
heightthe height (number of rows) of the image. 

    
widththe width (number of columns) of the image. 

    
channelsthe number of channels of the image. 

  

  




Returns:
new quick shift object.


The image is an array of vl_qs_type values with three dimensions (respectively widht, height, and channels). Typically, a color (e.g, RGB) image has three channels. The linear index of a pixel is computed with: channels * width* height + row + height * col. 











      

        

          void vl_quickshift_process 
          (
          VlQS * 
          q)
          
        

      




Parameters:

  

    
qquick shift object. 

  

  










     
    

   

   
 

  
 
   
 
 

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Data Structures |
Macros |
Typedefs  

  


quickshift.h File Reference
  







Quick shift (Quick shift image segmentation)  
More...


#include "generic.h"

#include "mathop.h"





Data Structures


struct  VlQS


 quick shift results  More...





Macros



#define VL_QS_INF   VL_INFINITY_D /* Change to _F for float math */


 quick shift infinity constant 





Typedefs



typedef double vl_qs_type


 quick shift datatype 





Functions


Create and destroy


VlQS * vl_quickshift_new (vl_qs_type const *im, int height, int width, int channels)


 Create a quick shift object.  


void vl_quickshift_delete (VlQS *q)


 Delete quick shift object.  


Process data


void vl_quickshift_process (VlQS *q)


 Create a quick shift objet.  


Retrieve data and parameters


vl_qs_type vl_quickshift_get_max_dist (VlQS const *q)


 Get tau.  


vl_qs_type vl_quickshift_get_kernel_size (VlQS const *q)


 Get sigma.  


vl_bool vl_quickshift_get_medoid (VlQS const *q)


 Get medoid.  


int * vl_quickshift_get_parents (VlQS const *q)


 Get parents.  


vl_qs_type * vl_quickshift_get_dists (VlQS const *q)


 Get dists.  


vl_qs_type * vl_quickshift_get_density (VlQS const *q)


 Get density.  


Set parameters


void vl_quickshift_set_max_dist (VlQS *q, vl_qs_type tau)


 Set max distance.  


void vl_quickshift_set_kernel_size (VlQS *q, vl_qs_type sigma)


 Set sigma.  


void vl_quickshift_set_medoid (VlQS *q, vl_bool medoid)


 Set medoid.  




Detailed Description


Author:
Andrea Vedaldi 



Brian Fulkerson 


Function Documentation






      

        

          void vl_quickshift_delete 
          (
          VlQS * 
          q)
          
        

      




Parameters:

  

    
qquick shift object. 

  

  















  

  
      

        

          vl_qs_type * vl_quickshift_get_density 
          (
          VlQS const * 
          q)
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

  

  




Returns:
the estimate of the density at each pixel. 













  

  
      

        

          vl_qs_type * vl_quickshift_get_dists 
          (
          VlQS const * 
          q)
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

  

  




Returns:
for each pixel, the distance in feature space to the pixel that is its parent in the quick shift tree. The distance is set to 'inf' if the pixel is a root node. 













  

  
      

        

          vl_qs_type vl_quickshift_get_kernel_size 
          (
          VlQS const * 
          q)
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

  

  




Returns:
the standard deviation of the kernel used in the Parzen density estimate. 













  

  
      

        

          vl_qs_type vl_quickshift_get_max_dist 
          (
          VlQS const * 
          q)
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

  

  




Returns:
the maximum distance in the feature space between nodes in the quick shift tree. 













  

  
      

        

          vl_bool vl_quickshift_get_medoid 
          (
          VlQS const * 
          q)
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick Shift object. 

  

  




Returns:
true if medoid shift is used instead of quick shift. 













  

  
      

        

          int * vl_quickshift_get_parents 
          (
          VlQS const * 
          q)
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

  

  




Returns:
a height x width matrix where each element contains the linear index of its parent node. The node is a root if its value is its own linear index. 











      

        

          VlQS* vl_quickshift_new 
          (
          vl_qs_type const * 
          image, 
        

        

          
          
          int 
          height, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          channels 
        

        

          
          )
          
        

      




Parameters:

  

    
imagethe image. 

    
heightthe height (number of rows) of the image. 

    
widththe width (number of columns) of the image. 

    
channelsthe number of channels of the image. 

  

  




Returns:
new quick shift object.


The image is an array of vl_qs_type values with three dimensions (respectively widht, height, and channels). Typically, a color (e.g, RGB) image has three channels. The linear index of a pixel is computed with: channels * width* height + row + height * col. 











      

        

          void vl_quickshift_process 
          (
          VlQS * 
          q)
          
        

      




Parameters:

  

    
qquick shift object. 

  

  















  

  
      

        

          void vl_quickshift_set_kernel_size 
          (
          VlQS * 
          q, 
        

        

          
          
          vl_qs_type 
          sigma 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

    
sigmastandard deviation of the kernel used in the Parzen density estimate. 

  

  















  

  
      

        

          void vl_quickshift_set_max_dist 
          (
          VlQS * 
          q, 
        

        

          
          
          vl_qs_type 
          tau 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

    
tauthe maximum distance in the feature space between nodes in the quick shift tree. 

  

  















  

  
      

        

          void vl_quickshift_set_medoid 
          (
          VlQS * 
          q, 
        

        

          
          
          vl_bool 
          medoid 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
qquick shift object. 

    
medoidtrue to use kernelized medoid shift, false (default) uses quick shift. 

  

  










     
    

   

   
 

  
 
   
 
 

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Functions  

  


random.c File Reference
  







Random number generator - Definition.  
More...


#include "random.h"

#include <stdio.h>

#include <string.h>





Functions


void vl_rand_init (VlRand *self)


 Initialise random number generator.  


void vl_rand_seed (VlRand *self, vl_uint32 s)


 Seed the state of the random number generator.  


void vl_rand_seed_by_array (VlRand *self, vl_uint32 const key[], vl_size keySize)


 Seed the state of the random number generator by an array.  


vl_uint32 vl_rand_uint32 (VlRand *self)


 Generate a random UINT32.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_rand_init 
          (
          VlRand * 
          self)
          
        

      




Parameters:

  

    
selfnumber generator. 

  

  













      

        

          void vl_rand_seed 
          (
          VlRand * 
          self, 
        

        

          
          
          vl_uint32 
          s 
        

        

          
          )
          
        

      




Parameters:

  

    
selfrandom number generator. 

    
sseed. 

  

  













      

        

          void vl_rand_seed_by_array 
          (
          VlRand * 
          self, 
        

        

          
          
          vl_uint32 const 
          key[], 
        

        

          
          
          vl_size 
          keySize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfrandom number generator. 

    
keyarray of numbers. 

    
keySizelength of the array. 

  

  













      

        

          vl_uint32 vl_rand_uint32 
          (
          VlRand * 
          self)
          
        

      




Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number in [0, 0xffffffff]. 








     
    

   

   
 

  
 
   
 
 

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Data Structures  

  


random.h File Reference
  







Random number generator.  
More...


#include "host.h"





Data Structures


struct  VlRand


 Random numbber generator state.  More...





Functions


Setting and reading the state


void vl_rand_init (VlRand *self)


 Initialise random number generator.  


void vl_rand_seed (VlRand *self, vl_uint32 s)


 Seed the state of the random number generator.  


void vl_rand_seed_by_array (VlRand *self, vl_uint32 const key[], vl_size keySize)


 Seed the state of the random number generator by an array.  


Generate random numbers


vl_uint64 vl_rand_uint64 (VlRand *self)


 Generate a random UINT64.  


vl_int64 vl_rand_int63 (VlRand *self)


 Generate a random INT63.  


vl_uint32 vl_rand_uint32 (VlRand *self)


 Generate a random UINT32.  


vl_int32 vl_rand_int31 (VlRand *self)


 Generate a random INT31.  


double vl_rand_real1 (VlRand *self)


 Generate a random number in [0,1].  


double vl_rand_real2 (VlRand *self)


 Generate a random number in [0,1)  


double vl_rand_real3 (VlRand *self)


 Generate a random number in (0,1)  


double vl_rand_res53 (VlRand *self)


 Generate a random number in [0,1) with 53-bit resolution.  


vl_uindex vl_rand_uindex (VlRand *self, vl_uindex range)


 Generate a random index in a given range.  




Detailed Description


This module implements the popular Mersenne Twister algorithm (MATLAB random generator from version 7.4).



Overview


A random number generator can be initalized by


 VlRand rand ;


 vl_rand_init (&rand) ;


VlRand is a simple structure holding the state of the random number generator. The generator can be seeded by vl_rand_seed and vl_rand_seed_by_array. For intsance:


 vl_rand_seed (&rand, clock()) ;


The generator can be used to obtain random quantities of various types:



There is no need to explicitly destroy a VlRand instance.


[1] http://en.wikipedia.org/wiki/Mersenne_twister


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_rand_init 
          (
          VlRand * 
          self)
          
        

      




Parameters:

  

    
selfnumber generator. 

  

  















  

  
      

        

          vl_int32 vl_rand_int31 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number in [0, 0x7fffffff]. 













  

  
      

        

          vl_int64 vl_rand_int63 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number in [0, 0x7fffffffffffffff]. 













  

  
      

        

          double vl_rand_real1 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number. 













  

  
      

        

          double vl_rand_real2 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number. 













  

  
      

        

          double vl_rand_real3 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number. 













  

  
      

        

          double vl_rand_res53 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number. 











      

        

          void vl_rand_seed 
          (
          VlRand * 
          self, 
        

        

          
          
          vl_uint32 
          s 
        

        

          
          )
          
        

      




Parameters:

  

    
selfrandom number generator. 

    
sseed. 

  

  













      

        

          void vl_rand_seed_by_array 
          (
          VlRand * 
          self, 
        

        

          
          
          vl_uint32 const 
          key[], 
        

        

          
          
          vl_size 
          keySize 
        

        

          
          )
          
        

      




Parameters:

  

    
selfrandom number generator. 

    
keyarray of numbers. 

    
keySizelength of the array. 

  

  















  

  
      

        

          vl_uindex vl_rand_uindex 
          (
          VlRand * 
          self, 
        

        

          
          
          vl_uindex 
          range 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

    
rangerange. 

  

  




Returns:
an index sampled uniformly at random in the interval [0, range - 1]


Remarks:
Currently, this function uses a simple algorithm that may yield slightly biased samples if range is not a power of two. 











      

        

          vl_uint32 vl_rand_uint32 
          (
          VlRand * 
          self)
          
        

      




Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number in [0, 0xffffffff]. 













  

  
      

        

          vl_uint64 vl_rand_uint64 
          (
          VlRand * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfrandom number generator. 

  

  




Returns:
a random number in [0, 0xffffffffffffffff]. 








     
    

   

   
 

  
 
   
 
 

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Functions  

  


rodrigues.h File Reference
  






#include "generic.h"





Functions


void vl_rodrigues (double *R_pt, double *dR_pt, const double *om_pt)


 Rodrigues' formula.  


void vl_irodrigues (double *om_pt, double *dom_pt, const double *R_pt)


 Inverse Rodrigues formula.  




Detailed Description



Rodrigues formulas


    

  • Use vl_rodrigues() to compute the Rodrigues formula and its derivative.
    • 

  • Use vl_irodrigues() to compute the inverse Rodrigues formula and its derivative. 
    • 



Function Documentation






      

        

          void vl_irodrigues 
          (
          double * 
          om_pt, 
        

        

          
          
          double * 
          dom_pt, 
        

        

          
          
          const double * 
          R_pt 
        

        

          
          )
          
        

      




Parameters:

  

    
om_pt3 vector - array of 3 dobule (out). 

    
dom_pt3x9 matrix - array of 3x9 dobule (out). 

    
R_pt3x3 matrix - array of 9 double (in).

  

  




This function computes the Rodrigues formula of the argument om_pt. The result is stored int the matrix R_pt. If dR_pt is non null, then the derivative of the Rodrigues formula is computed and stored into the matrix dR_pt. 











      

        

          void vl_rodrigues 
          (
          double * 
          R_pt, 
        

        

          
          
          double * 
          dR_pt, 
        

        

          
          
          const double * 
          om_pt 
        

        

          
          )
          
        

      




Parameters:

  

    
R_pt3x3 matrix - array of 9 double (in) . 

    
dR_pt9x3 matrix - array of 27 double (in). 

    
om_pt3 vector - array of 3 dobule (out). 

  

  










     
    

   

   
 

  
 
   
 
 

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Gaussian Scale Space 
  






Author:
Karel Lenc 



Andrea Vedaldi 



Michal Perdoch


scalespace.h implements a scale space, a data structure fundamental in the computation of covariant features such as SIFT, Hessian-Affine, Harris-Affine, Harris-Laplace, etc. 



     
    

   

   
 

  
 
   
 
 

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Functions  

  


scalespace.c File Reference
  







Scale Space - Definition.  
More...


#include "scalespace.h"

#include "mathop.h"

#include <assert.h>

#include <stdlib.h>

#include <string.h>

#include <math.h>

#include <stdio.h>





Functions


VlScaleSpaceGeometry vl_scalespace_get_geometry (VlScaleSpace const *self)


 Get the geometry of the scale space.  


VlScaleSpaceOctaveGeometry vl_scalespace_get_octave_geometry (VlScaleSpace const *self, vl_index o)


 Get the geometry of an octave of the scalespace.  


float * vl_scalespace_get_level (VlScaleSpace const *self, vl_index o, vl_index s)


 Get the const data of a scale space level.  


static void copy_and_upsample (float *destination, float const *source, vl_size width, vl_size height)


 Upsample the rows and take the transpose.  


static void copy_and_downsample (float *destination, float const *source, vl_size width, vl_size height, vl_size numOctaves)


 Downsample.  


VlScaleSpace * vl_scalespace_new (vl_size width, vl_size height, vl_index numOctaves, vl_index firstOctave, vl_size octaveResolution, vl_index octaveFirstSubdivision, vl_index octaveLastSubdivision)


 Creates a new VlScaleSpace object.  


void vl_scalespace_delete (VlScaleSpace *self)


 Delete a VlScaleSpace object.  


VlScaleSpace * vl_scalespace_clone (VlScaleSpace *self)


 Clone the scale space with all its data.  


VlScaleSpace * vl_scalespace_clone_structure (VlScaleSpace *self)


 Clone the object but do not copy the data.  


void _vl_scalespace_fill_octave (VlScaleSpace *self, vl_index o)


 Fill octave startinf from first level.  


static void _vl_scalespace_start_octave_from_image (VlScaleSpace *self, float const *image, vl_index o)


 Initialize the first level of an octave from an image.  


static void _vl_scalespace_start_octave_from_previous_octave (VlScaleSpace *self, vl_index o)


 Initialize the first level of an octave from the previous octave.  


void vl_scalespace_put_image (VlScaleSpace *self, float const *image)


 Initialise Scale space with new image.  




Detailed Description


Author:
Karel Lenc 



Andrea Vedaldi 



Michal Perdoch 


Function Documentation






      

        

          void _vl_scalespace_fill_octave 
          (
          VlScaleSpace * 
          self, 
        

        

          
          
          vl_index 
          o 
        

        

          
          )
          
        

      




Parameters:

  

    
selfVlScaleSpace object instance. 

    
ooctave to process.

  

  




The function takes the first level of octave o and iteratively smoothes it to obtain the other octave levels. 













  

  
      

        

          static void _vl_scalespace_start_octave_from_image 
          (
          VlScaleSpace * 
          self, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_index 
          o 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
selfVlScaleSpace object instance. 

    
imageimage data. 

    
ooctave to start.

  

  




The function initializes the first level of octave o from image image. The dimensions of the image are the ones set during the creation of the VlScaleSpace object instance. 













  

  
      

        

          static void _vl_scalespace_start_octave_from_previous_octave 
          (
          VlScaleSpace * 
          self, 
        

        

          
          
          vl_index 
          o 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
VlScaleSpaceobjet instance. 

    
ooctave to initialize.

  

  




The function initializes the first level of octave o from the content of octave o - 1. 













  

  
      

        

          static void copy_and_downsample 
          (
          float * 
          destination, 
        

        

          
          
          float const * 
          source, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          numOctaves 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
destinationoutput imgae buffer. 

    
sourceinput image buffer. 

    
widthinput image width. 

    
heightinput image height. 

    
numOctavesoctaves (non negative).

  

  




The function downsamples the image d times, reducing it to 1/2^d of its original size. The parameters width and height are the size of the input image. The destination image dst is assumed to be floor(width/2^d) pixels wide and floor(height/2^d) pixels high. 













  

  
      

        

          static void copy_and_upsample 
          (
          float * 
          destination, 
        

        

          
          
          float const * 
          source, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
destinationoutput image. 

    
sourceinput image. 

    
widthinput image width. 

    
heightinput image height.

  

  




The output image has dimensions height by 2 width (so the destination buffer must be at least as big as two times the input buffer).


Upsampling is performed by linear interpolation. 











      

        

          VlScaleSpace* vl_scalespace_clone 
          (
          VlScaleSpace * 
          self)
          
        

      




Performs deep copy of the scale space.


Parameters:

  

    
selfScale space which should be cloned. 

  

  













      

        

          VlScaleSpace* vl_scalespace_clone_structure 
          (
          VlScaleSpace * 
          self)
          
        

      




Parameters:

  

    
selfVlScaleSpace object instance. 

  

  




Returns:
the object copy, or NULL.


The function can fail if the memory is insufficient to hold the object copy. In this case, the function returns NULL. 











      

        

          void vl_scalespace_delete 
          (
          VlScaleSpace * 
          self)
          
        

      




Parameters:

  

    
selfobject to delete. 

  

  




See also:
vl_scalespace_new 











      

        

          VlScaleSpaceGeometry vl_scalespace_get_geometry 
          (
          VlScaleSpace const * 
          self)
          
        

      




Parameters:

  

    
object.

  

  




Returns:
the scale space geometry. 











      

        

          float* vl_scalespace_get_level 
          (
          VlScaleSpace const * 
          self, 
        

        

          
          
          vl_index 
          o, 
        

        

          
          
          vl_index 
          s 
        

        

          
          )
          
        

      




Parameters:

  

    
selfobject. 

    
ooctave index. 

    
slevel index. 

  

  




Returns:
pointer to the data for octave o, level s.


The octave index o must be in the range firstOctave to lastOctave and the scale index s must be in the range octaveFirstSubdivision to octaveLastSubdivision. 











      

        

          VlScaleSpaceOctaveGeometry vl_scalespace_get_octave_geometry 
          (
          VlScaleSpace const * 
          self, 
        

        

          
          
          vl_index 
          o 
        

        

          
          )
          
        

      




Parameters:

  

    
object.

    
ooctave index. 

  

  




Returns:
the geometry of the specified octave. 











      

        

          VlScaleSpace* vl_scalespace_new 
          (
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_index 
          numOctaves, 
        

        

          
          
          vl_index 
          firstOctave, 
        

        

          
          
          vl_size 
          octaveResolution, 
        

        

          
          
          vl_index 
          octaveFirstSubdivision, 
        

        

          
          
          vl_index 
          octaveLastSubdivision 
        

        

          
          )
          
        

      




Parameters:

  

    
widthimage width. 

    
heightimage height. 

    
numOctavesnumber of octaves. 

    
firstOctaveindex of the first octave. 

    
numLevelsnumeber of levels per octave. 

    
firstLevelindex of the first level. 

    
lastLevelindex of the last level. 

  

  




Returns:
the new scale space.


The function allocates and returns a new VlScaleSpace object of the specified geometry.


If numOctaves is a negative number, the number of octaves is selected to the maximum possible given the size of the image.


Parameters firstLevel and lastLevel allow to define additional levels on top or bottom of the scale-space although the scale-space would be calculated with parameters based on numLevels. This is for example used when we need to compute additional levels for local extrema localisation when e.g.:


    numLevels = 3, firstLevel = -1, lastLevel = 3


would create scale space with 5 levels indexed as:


    -1  0  1  2  3


See also:
vl_scalespace_delete(). 











      

        

          void vl_scalespace_put_image 
          (
          VlScaleSpace * 
          self, 
        

        

          
          
          float const * 
          image 
        

        

          
          )
          
        

      




Parameters:

  

    
selfVlScaleSpace object instance. 

    
imageimage to process.

  

  




Compute the data of all the defined octaves and scales of the scale space self. 








     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/scalespace_8h.html000066400000000000000000000575121203326130700200050ustar00rootroot00000000000000

 
  
  
  
  
  
  
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   Documentation - C API
  

  

    
   

    
    




  

Data Structures  

  


scalespace.h File Reference
  







Scale Space (Gaussian Scale Space)  
More...


#include "generic.h"

#include "imopv.h"

#include "mathop.h"





Data Structures


struct  VlScaleSpaceGeometry


 A set of parameters describing the scale space geometry.  More...


struct  VlScaleSpace


 Gaussian scale space.  More...





Functions


Create and destroy


VlScaleSpace * vl_scalespace_new (vl_size width, vl_size height, vl_index numOctaves, vl_index firstOctave, vl_size octaveResolution, vl_index octaveFirstSubdivision, vl_index octaveLastSubdivision)


 Creates a new VlScaleSpace object.  



VlScaleSpace * vl_scalespace_new_with_geometry (VlScaleSpaceGeometry geom)


void vl_scalespace_delete (VlScaleSpace *self)


 Delete a VlScaleSpace object.  


VlScaleSpace * vl_scalespace_clone_structure (VlScaleSpace *src)


 Clone the object but do not copy the data.  


VlScaleSpace * vl_scalespace_clone (VlScaleSpace *src)


 Clone the scale space with all its data.  


Process data


void vl_scalespace_put_image (VlScaleSpace *self, float const *image)


 Initialise Scale space with new image.  


Retrieve data and parameters


VlScaleSpaceGeometry vl_scalespace_get_geometry (VlScaleSpace const *self)


 Get the geometry of the scale space.  


VlScaleSpaceOctaveGeometry vl_scalespace_get_octave_geometry (VlScaleSpace const *self, vl_index o)


 Get the geometry of an octave of the scalespace.  


float * vl_scalespace_get_level (VlScaleSpace const *self, vl_index o, vl_index s)


 Get the const data of a scale space level.  



double vl_scalespace_get_level_sigma (VlScaleSpace const *self, vl_index o, vl_index s)




Detailed Description


Author:
Andrea Vedaldi 



Karel Lenc 



Michal Perdoch 


Function Documentation






      

        

          VlScaleSpace* vl_scalespace_clone 
          (
          VlScaleSpace * 
          self)
          
        

      




Performs deep copy of the scale space.


Parameters:

  

    
selfScale space which should be cloned. 

  

  













      

        

          VlScaleSpace* vl_scalespace_clone_structure 
          (
          VlScaleSpace * 
          self)
          
        

      




Parameters:

  

    
selfVlScaleSpace object instance. 

  

  




Returns:
the object copy, or NULL.


The function can fail if the memory is insufficient to hold the object copy. In this case, the function returns NULL. 











      

        

          void vl_scalespace_delete 
          (
          VlScaleSpace * 
          self)
          
        

      




Parameters:

  

    
selfobject to delete. 

  

  




See also:
vl_scalespace_new 











      

        

          VlScaleSpaceGeometry vl_scalespace_get_geometry 
          (
          VlScaleSpace const * 
          self)
          
        

      




Parameters:

  

    
object.

  

  




Returns:
the scale space geometry. 











      

        

          float* vl_scalespace_get_level 
          (
          VlScaleSpace const * 
          self, 
        

        

          
          
          vl_index 
          o, 
        

        

          
          
          vl_index 
          s 
        

        

          
          )
          
        

      




Parameters:

  

    
selfobject. 

    
ooctave index. 

    
slevel index. 

  

  




Returns:
pointer to the data for octave o, level s.


The octave index o must be in the range firstOctave to lastOctave and the scale index s must be in the range octaveFirstSubdivision to octaveLastSubdivision. 











      

        

          VlScaleSpaceOctaveGeometry vl_scalespace_get_octave_geometry 
          (
          VlScaleSpace const * 
          self, 
        

        

          
          
          vl_index 
          o 
        

        

          
          )
          
        

      




Parameters:

  

    
object.

    
ooctave index. 

  

  




Returns:
the geometry of the specified octave. 











      

        

          VlScaleSpace* vl_scalespace_new 
          (
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_index 
          numOctaves, 
        

        

          
          
          vl_index 
          firstOctave, 
        

        

          
          
          vl_size 
          octaveResolution, 
        

        

          
          
          vl_index 
          octaveFirstSubdivision, 
        

        

          
          
          vl_index 
          octaveLastSubdivision 
        

        

          
          )
          
        

      




Parameters:

  

    
widthimage width. 

    
heightimage height. 

    
numOctavesnumber of octaves. 

    
firstOctaveindex of the first octave. 

    
numLevelsnumeber of levels per octave. 

    
firstLevelindex of the first level. 

    
lastLevelindex of the last level. 

  

  




Returns:
the new scale space.


The function allocates and returns a new VlScaleSpace object of the specified geometry.


If numOctaves is a negative number, the number of octaves is selected to the maximum possible given the size of the image.


Parameters firstLevel and lastLevel allow to define additional levels on top or bottom of the scale-space although the scale-space would be calculated with parameters based on numLevels. This is for example used when we need to compute additional levels for local extrema localisation when e.g.:


    numLevels = 3, firstLevel = -1, lastLevel = 3


would create scale space with 5 levels indexed as:


    -1  0  1  2  3


See also:
vl_scalespace_delete(). 











      

        

          void vl_scalespace_put_image 
          (
          VlScaleSpace * 
          self, 
        

        

          
          
          float const * 
          image 
        

        

          
          )
          
        

      




Parameters:

  

    
selfVlScaleSpace object instance. 

    
imageimage to process.

  

  




Compute the data of all the defined octaves and scales of the scale space self. 








     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/shuffle-def_8h.html000066400000000000000000000307461203326130700200720ustar00rootroot00000000000000

 
  
  
  
  
  
  
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   Documentation - C API
  

  

    
   

    
    




  

Macros |
Functions  

  


shuffle-def.h File Reference
  







Shuffle preprocessor metaprogram.  
More...


#include "host.h"

#include "random.h"

#include <assert.h>





Macros


#define VL_SHUFFLE_array   VL_SHUFFLE_type*


#define VL_SHUFFLE_prefix   ShufflePrefix


#define VL_SHUFFLE_type   ShuffleType


#define VL_SHUFFLE_array   ShuffleType*





Functions


void VL_SHUFFLE_swap (VL_SHUFFLE_array array, vl_uindex indexA, vl_uindex indexB)


 Swap two array elements.  


void VL_SHUFFLE_shuffle (VL_SHUFFLE_array array, vl_size size, VlRand *rand)


 Shuffle.  




Detailed Description


Author:
Andrea Vedaldi


Todo:
large array compatibility. 


Macro Definition Documentation






      

        

          #define VL_SHUFFLE_array   VL_SHUFFLE_type*
        

      




Data type of the shuffle container 











      

        

          #define VL_SHUFFLE_array   ShuffleType*
        

      




Data type of the shuffle container 











      

        

          #define VL_SHUFFLE_prefix   ShufflePrefix
        

      




Prefix of the shuffle functions 











      

        

          #define VL_SHUFFLE_type   ShuffleType
        

      




Data type of the shuffle elements 







Function Documentation








  

  
      

        

          void VL_SHUFFLE_shuffle 
          (
          VL_SHUFFLE_array 
          array, 
        

        

          
          
          vl_size 
          size, 
        

        

          
          
          VlRand * 
          rand 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
array(in/out) pointer to the array. 

    
sizesize of the array. 

    
randrandom number generator to use.

  

  




The function randomly permutes the array. 













  

  
      

        

          void VL_SHUFFLE_swap 
          (
          VL_SHUFFLE_array 
          array, 
        

        

          
          
          vl_uindex 
          indexA, 
        

        

          
          
          vl_uindex 
          indexB 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
arrayshuffle array. 

    
indexAindex of the first element to swap. 

    
indexBindex of the second element to swap.

  

  




The function swaps the two elements a and @ b. The function uses a temporary element of type VL_SHUFFLE_type and the copy operator =. 








     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/sift-can.png000066400000000000000000000222321203326130700166160ustar00rootroot00000000000000PNG


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  VLFeat - Documentation - C API
  
  
  
  
  
  
 
 
 
  
  

   Documentation - C API
  

  

    
   

    
    




  


Scale Invariant Feature Transform (SIFT) 
  






Author:
Andrea Vedaldi 


Credits:
May people have contributed with suggestions and bug reports. Although the following list is certainly incomplete, we would like to thank: Wei Dong, Loic, Giuseppe, Liu, Erwin, P. Ivanov, and Q. S. Luo.


sift.h implements a SIFT filter object, a reusable object to extract SIFT features [8] from one or multiple images.




Overview


A SIFT feature is a selected image region (also called keypoint) with an associated descriptor. Keypoints are extracted by the SIFT detector and their descriptors are computed by the SIFT descriptor. It is also common to use independently the SIFT detector (i.e. computing the keypoints without descriptors) or the SIFT descriptor (i.e. computing descriptors of custom keypoints).



SIFT detector


See also:
Scale space technical details, Detector technical details


A SIFT keypoint is a circular image region with an orientation. It is described by a geometric frame of four parameters: the keypoint center coordinates x and y, its scale (the radius of the region), and its orientation (an angle expressed in radians). The SIFT detector uses as keypoints image structures which resemble “blobs”. By searching for blobs at multiple scales and positions, the SIFT detector is invariant (or, more accurately, covariant) to translation, rotations, and rescaling of the image.


The keypoint orientation is also determined from the local image appearance and is covariant to image rotations. Depending on the symmetry of the keypoint appearance, determining the orientation can be ambiguous. In this case, the SIFT detectors returns a list of up to four possible orientations, constructing up to four frames (differing only by their orientation) for each detected image blob.



sift-frame.png


SIFT keypoints are circular image regions with an orientation.


 There are several parameters that influence the detection of SIFT keypoints. First, searching keypoints at multiple scales is obtained by constructing a so-called “Gaussian scale space”. The scale space is just a collection of images obtained by progressively smoothing the input image, which is analogous to gradually reducing the image resolution. Conventionally, the smoothing level is called scale of the image. The construction of the scale space is influenced by the following parameters, set when creating the SIFT filter object by vl_sift_new():


    

  • Number of octaves. Increasing the scale by an octave means doubling the size of the smoothing kernel, whose effect is roughly equivalent to halving the image resolution. By default, the scale space spans as many octaves as possible (i.e. roughly  log2(min(width,height)), which has the effect of searching keypoints of all possible sizes.
    • 

  • First octave index. By convention, the octave of index 0 starts with the image full resolution. Specifying an index greater than 0 starts the scale space at a lower resolution (e.g. 1 halves the resolution). Similarly, specifying a negative index starts the scale space at an higher resolution image, and can be useful to extract very small features (since this is obtained by interpolating the input image, it does not make much sense to go past -1).
    • 

  • Number of levels per octave. Each octave is sampled at this given number of intermediate scales (by default 3). Increasing this number might in principle return more refined keypoints, but in practice can make their selection unstable due to noise (see [1]).
    • 



Keypoints are further refined by eliminating those that are likely to be unstable, either because they are selected nearby an image edge, rather than an image blob, or are found on image structures with low contrast. Filtering is controlled by the follow:


    

  • Peak threshold. This is the minimum amount of contrast to accept a keypoint. It is set by configuring the SIFT filter object by vl_sift_set_peak_thresh().
    • 

  • Edge threshold. This is the edge rejection threshold. It is set by configuring the SIFT filter object by vl_sift_set_edge_thresh().
    • 




Summary of the parameters influencing the SIFT detector.


Parameter See also Controlled by Comment  



number of octaves SIFT detector  vl_sift_new 



first octave index SIFT detector  vl_sift_new set to -1 to extract very small features  



number of scale levels per octave SIFT detector  vl_sift_new can affect the number of extracted keypoints  



edge threshold SIFT detector  vl_sift_set_edge_thresh decrease to eliminate more keypoints  



peak threshold SIFT detector  vl_sift_set_peak_thresh increase to eliminate more keypoints  





SIFT Descriptor


See also:
Descriptor technical details


A SIFT descriptor is a 3-D spatial histogram of the image gradients in characterizing the appearance of a keypoint. The gradient at each pixel is regarded as a sample of a three-dimensional elementary feature vector, formed by the pixel location and the gradient orientation. Samples are weighed by the gradient norm and accumulated in a 3-D histogram h, which (up to normalization and clamping) forms the SIFT descriptor of the region. An additional Gaussian weighting function is applied to give less importance to gradients farther away from the keypoint center. Orientations are quantized into eight bins and the spatial coordinates into four each, as follows:



sift-descr-easy.png


The SIFT descriptor is a spatial histogram of the image gradient.


 SIFT descriptors are computed by either calling vl_sift_calc_keypoint_descriptor or vl_sift_calc_raw_descriptor. They accept as input a keypoint frame, which specifies the descriptor center, its size, and its orientation on the image plane. The following parameters influence the descriptor calculation:


    

  • magnification factor. The descriptor size is determined by multiplying the keypoint scale by this factor. It is set by vl_sift_set_magnif.
    • 

  • Gaussian window size. The descriptor support is determined by a Gaussian window, which discounts gradient contributions farther away from the descriptor center. The standard deviation of this window is set by vl_sift_set_window_size and expressed in unit of bins.
    • 



VLFeat SIFT descriptor uses the following convention. The y axis points downwards and angles are measured clockwise (to be consistent with the standard image convention). The 3-D histogram (consisting of $ 8 \times 4 \times 4 = 128 $ bins) is stacked as a single 128-dimensional vector, where the fastest varying dimension is the orientation and the slowest the y spatial coordinate. This is illustrated by the following figure.



sift-conv-vlfeat.png


VLFeat conventions

 
Note:
Keypoints (frames) D. Lowe's SIFT implementation convention is slightly different: The y axis points upwards and the angles are measured counter-clockwise.



sift-conv.png


D. Lowes' SIFT implementation conventions

 

Summary of the parameters influencing the SIFT descriptor.


Parameter See also Controlled by Comment  



magnification factor SIFT Descriptor  vl_sift_set_magnif increase this value to enlarge the image region described  



Gaussian window size SIFT Descriptor  vl_sift_set_window_size smaller values let the center of the descriptor count more  





Extensions


Eliminating low-contrast descriptors. Near-uniform patches do not yield stable keypoints or descriptors. vl_sift_set_norm_thresh() can be used to set a threshold on the average norm of the local gradient to zero-out descriptors that correspond to very low contrast regions. By default, the threshold is equal to zero, which means that no descriptor is zeroed. Normally this option is useful only with custom keypoints, as detected keypoints are implicitly selected at high contrast image regions.



Using the SIFT filter object


The code provided in this module can be used in different ways. You can instantiate and use a SIFT filter to extract both SIFT keypoints and descriptors from one or multiple images. Alternatively, you can use one of the low level functions to run only a part of the SIFT algorithm (for instance, to compute the SIFT descriptors of custom keypoints).


To use a SIFT filter object:



To compute SIFT descriptors of custom keypoints, use vl_sift_calc_raw_descriptor().



Technical details



Scale space


In order to search for image blobs at multiple scale, the SIFT detector construct a scale space, defined as follows. Let $I_0(\mathbf{x})$ denote an idealized infinite resolution image. Consider the Gaussian kernel



\[ g_{\sigma}(\mathbf{x}) = \frac{1}{2\pi\sigma^2} \exp \left( -\frac{1}{2} \frac{\mathbf{x}^\top\mathbf{x}}{\sigma^2} \right) \]



The Gaussian scale space is the collection of smoothed images



\[ I_\sigma = g_\sigma * I, \quad \sigma \geq 0. \]



The image at infinite resolution $ I_0 $ is useful conceptually, but is not available to us; instead, the input image $ I_{\sigma_n} $ is assumed to be pre-smoothed at a nominal level $ \sigma_n = 0.5 $ to account for the finite resolution of the pixels. Thus in practice the scale space is computed by



\[ I_\sigma = g_{\sqrt{\sigma^2 - \sigma_n^2}} * I_{\sigma_n}, \quad \sigma \geq \sigma_n. \]



Scales are sampled at logarithmic steps given by



\[ \sigma = \sigma_0 2^{o+s/S}, \quad s = 0,\dots,S-1, \quad o = o_{\min}, \dots, o_{\min}+O-1, \]



where $ \sigma_0 = 1.6 $ is the base scale, $ o_{\min} $ is the first octave index, O the number of octaves and S the number of scales per octave.


Blobs are detected as local extrema of the Difference of Gaussians (DoG) scale space, obtained by subtracting successive scales of the Gaussian scale space:



\[ \mathrm{DoG}_{\sigma(o,s)} = I_{\sigma(o,s+1)} - I_{\sigma(o,s)} \]



At each next octave, the resolution of the images is halved to save computations. The images composing the Gaussian and DoG scale space can then be arranged as in the following figure:



sift-ss.png


GSS and DoG scale space structures.


 The black vertical segments represent images of the Gaussian Scale Space (GSS), arranged by increasing scale $\sigma$. Notice that the scale level index s varies in a slightly redundant set



\[ s = -1, \dots, S+2 \]



This simplifies glueing together different octaves and extracting DoG maxima (required by the SIFT detector).



Detector


The SIFT frames (keypoints) are extracted based on local extrema (peaks) of the DoG scale space. Numerically, local extrema are elements whose $ 3 \times 3 \times 3 $ neighbors (in space and scale) have all smaller (or larger) value. Once extracted, local extrema are quadratically interpolated (this is very important especially at the lower resolution scales in order to have accurate keypoint localization at the full resolution). Finally, they are filtered to eliminate low-contrast responses or responses close to edges and the orientation(s) are assigned, as explained next.



Eliminating low contrast responses


Peaks which are too short may have been generated by noise and are discarded. This is done by comparing the absolute value of the DoG scale space at the peak with the peak threshold $t_p$ and discarding the peak its value is below the threshold.



Eliminating edge responses


Peaks which are too flat are often generated by edges and do not yield stable features. These peaks are detected and removed as follows. Given a peak $x,y,\sigma$, the algorithm evaluates the x,y Hessian of of the DoG scale space at the scale $\sigma$. Then the following score (similar to the Harris function) is computed:



\[ \frac{(\mathrm{tr}\,D(x,y,\sigma))^2}{\det D(x,y,\sigma)}, \quad D = \left[ \begin{array}{cc} \frac{\partial^2 \mathrm{DoG}}{\partial x^2} & \frac{\partial^2 \mathrm{DoG}}{\partial x\partial y} \\ \frac{\partial^2 \mathrm{DoG}}{\partial x\partial y} & \frac{\partial^2 \mathrm{DoG}}{\partial y^2} \end{array} \right]. \]



This score has a minimum (equal to 4) when both eigenvalues of the Jacobian are equal (curved peak) and increases as one of the eigenvalues grows and the other stays small. Peaks are retained if the score is below the quantity $(t_e+1)(t_e+1)/t_e$, where $t_e$ is the edge threshold. Notice that this quantity has a minimum equal to 4 when $t_e=1$ and grows thereafter. Therefore the range of the edge threshold is $[1,\infty)$.



Orientation assignment


A peak in the DoG scale space fixes 2 parameters of the keypoint: the position and scale. It remains to choose an orientation. In order to do this, SIFT computes an histogram of the gradient orientations in a Gaussian window with a standard deviation which is 1.5 times bigger than the scale $\sigma$ of the keypoint.



sift-orient.png



This histogram is then smoothed and the maximum is selected. In addition to the biggest mode, up to other three modes whose amplitude is within the 80% of the biggest mode are retained and returned as additional orientations.



Descriptor


A SIFT descriptor of a local region (keypoint) is a 3-D spatial histogram of the image gradients. The gradient at each pixel is regarded as a sample of a three-dimensional elementary feature vector, formed by the pixel location and the gradient orientation. Samples are weighed by the gradient norm and accumulated in a 3-D histogram h, which (up to normalization and clamping) forms the SIFT descriptor of the region. An additional Gaussian weighting function is applied to give less importance to gradients farther away from the keypoint center.



Construction in the canonical frame


Denote the gradient vector field computed at the scale $ \sigma $ by 



\[ J(x,y) = \nalba I_\sigma(x,y) = \left[\begin{array}{cc} \frac{\partial I_\sigma}{\partial x} & \frac{\partial I_\sigma}{\partial y} & \end{array}\right] \]



The descriptor is a 3-D spatial histogram capturing the distribution of $ J(x,y) $. It is convenient to describe its construction in the canonical frame. In this frame, the image and descriptor axes coincide and each spatial bin has side 1. The histogram has $ N_\theta \times N_x \times N_y $ bins (usually $ 8 \times 4 \times 4 $), as in the following figure:



sift-can.png


Canonical SIFT descriptor and spatial binning functions


Bins are indexed by a triplet of indexes t, i, j and their centers are given by



\begin{eqnarray*} \theta_t &=& \frac{2\pi}{N_\theta} t, \quad t = 0,\dots,N_{\theta}-1, \\ x_i &=& i - \frac{N_x -1}{2}, \quad i = 0,\dots,N_x-1, \\ y_j &=& j - \frac{N_x -1}{2}, \quad j = 0,\dots,N_y-1. \\ \end{eqnarray*}



The histogram is computed by using trilinear interpolation, i.e. by weighing contributions by the binning functions



\begin{eqnarray*} \displaystyle w(z) &=& \mathrm{max}(0, 1 - |z|), \\ \displaystyle w_\mathrm{ang}(z) &=& \sum_{k=-\infty}^{+\infty} w\left( \frac{N_\theta}{2\pi} z + N_\theta k \right). \end{eqnarray*}



The gradient vector field is transformed in a three-dimensional density map of weighed contributions



\[ f(\theta, x, y) = |J(x,y)| \delta(\theta - \angle J(x,y)) \]



The historam is localized in the keypoint support by a Gaussian window of standard deviation $ \sigma_{\mathrm{win}} $. The histogram is then given by



\begin{eqnarray*} h(t,i,j) &=& \int g_{\sigma_\mathrm{win}}(x,y) w_\mathrm{ang}(\theta - \theta_t) w(x-x_i) w(y-y_j) f(\theta,x,y) d\theta\,dx\,dy \\ &=& \int g_{\sigma_\mathrm{win}}(x,y) w_\mathrm{ang}(\angle J(x,y) - \theta_t) w(x-x_i) w(y-y_j) |J(x,y)|\,dx\,dy \end{eqnarray*}



In post processing, the histogram is $ l^2 $ normalized, then clamped at 0.2, and $ l^2 $ normalized again.



Calculation in the image frame


Invariance to similarity transformation is attained by attaching descriptors to SIFT keypoints (or other similarity-covariant frames). Then projecting the image in the canonical descriptor frames has the effect of undoing the image deformation.


In practice, however, it is convenient to compute the descriptor directly in the image frame. To do this, denote with a hat quantities relative to the canonical frame and without a hat quantities relative to the image frame (so for instance $ \hat x $ is the x-coordinate in the canonical frame and $ x $ the x-coordinate in the image frame). Assume that canonical and image frame are related by an affinity:



\[ \mathbf{x} = A \hat\mathbf{x} + T, \qquad \mathbf{x} = \left[\begin{array}{cc} x \\ y \end{arraty}\right], \quad \hat\mathbf{x} = \left[\begin{array}{cc} \hat x \\ \hat y \end{arraty}\right]. \]




sift-image-frame.png



Then all quantities can be computed in the image frame directly. For instance, the image at infinite resolution in the two frames are related by



\[ \hat I_0(\hat{\mathbf{x}}) = I_0(\mathbf{x}), \qquad \mathbf{x} = A \hat{\mathbf{x}} + T. \]



The canonized image at scale $ \hat \sigma $ is in relation with the scaled image



\[ \hat I_{\hat{\sigma}}(\hat{\mathbf{x}}) = I_{A\hat{\sigma}}(\mathbf{x}), \qquad \mathbf{x} = A \hat{\mathbf{x}} + T \]



where, by generalizing the previous definitions, we have



\[ I_{A\hat \sigma}(\mathbf{x}) = (g_{A\hat\sigma} * I_0)(\mathbf{x}), \quad g_{A\hat\sigma}(\mathbf{x}) = \frac{1}{2\pi|A|\hat \sigma^2} \exp \left( -\frac{1}{2} \frac{\mathbf{x}^\top A^{-\top}A^{-1}\mathbf{x}}{\hat \sigma^2} \right) \]



Deriving shows that the gradient fields are in relation



\[ \hat J(\hat{\mathbf{x}}) = J(\mathbf{x}) A, \quad J(\mathbf{x}) = (\nabla I_{A\hat\sigma})(\mathbf{x}), \qquad \mathbf{x} = A \hat{\mathbf{x}} + T. \]



Therefore we can compute the descriptor either in the image or canonical frame as:



\begin{eqnarray*} h(t,i,j) &=& \int g_{\hat \sigma_\mathrm{win}}(\hat{\mathbf{x}})\, w_\mathrm{ang}(\angle \hat J(\hat{\mathbf{x}}) - \theta_t)\, w_{ij}(\hat{\mathbf{x}})\, |\hat J(\hat{\mathbf{x}})|\, d\hat{\mathbf{x}} \\ &=& \int g_{A \hat \sigma_\mathrm{win}}(\mathbf{x} - T)\, w_\mathrm{ang}(\angle J(\mathbf{x})A - \theta_t)\, w_{ij}(A^{-1}(\mathbf{x} - T))\, |J(\mathbf{x})A|\, d\mathbf{x}. \end{eqnarray*}



where we defined the product of the two spatial binning functions



\[ w_{ij}(\hat{\mathbf{x}}) = w(\hat x - \hat x_i) w(\hat y - \hat y_j) \]



In the actual implementation, this integral is computed by visiting a rectangular area of the image that fully contains the keypoint grid (along with half a bin border to fully include the bin windowing function). Since the descriptor can be rotated, this area is a rectangle of sides $m/2\sqrt{2} (N_x+1,N_y+1)$ (see also the illustration).



Standard SIFT descriptor


For a SIFT-detected keypoint of center $ T $, scale $ \sigma $ and orientation $ \theta $, the affine transformation $ (A,T) $ reduces to the similarity transformation



\[ \mathbf{x} = m \sigma R(\theta) \hat{\mathbf{x}} + T \]



where $ R(\theta) $ is a counter-clockwise rotation of $ \theta $ radians, $ m \mathcal{\sigma} $ is the size of a descriptor bin in pixels, and m is the descriptor magnification factor which expresses how much larger a descriptor bin is compared to the scale of the keypoint $ \sigma $ (the default value is m = 3). Moreover, the standard SIFT descriptor computes the image gradient at the scale of the keypoints, which in the canonical frame is equivalent to a smoothing of $ \hat \sigma = 1/m $. Finally, the default Gaussian window size is set to have standard deviation $ \hat \sigma_\mathrm{win} = 2 $. This yields the formula



\begin{eqnarray*} h(t,i,j) &=& m \sigma \int g_{\sigma_\mathrm{win}}(\mathbf{x} - T)\, w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta - \theta_t)\, w_{ij}\left(\frac{R(\theta)^\top \mathbf{x} - T}{m\sigma}\right)\, |J(\mathbf{x})|\, d\mathbf{x}, \\ \sigma_{\mathrm{win}} &=& m\sigma\hat \sigma_{\mathrm{win}}, \\ J(\mathbf{x}) &=& \nabla (g_{m \sigma \hat \sigma} * I)(\mathbf{x}) = \nabla (g_{\sigma} * I)(\mathbf{x}) = \nabla I_{\sigma} (\mathbf{x}). \end{eqnarray*}


 

     
    

   

   
 

  
 
   
 
 

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  VLFeat - Documentation - C API
  
  
  
  
  
  
 
 
 
  
  

   Documentation - C API
  

  

    
   

    
    




  

Macros |
Functions |
Variables  

  


sift.c File Reference
  







SIFT - Definition.  
More...


#include "sift.h"

#include "imopv.h"

#include "mathop.h"

#include <assert.h>

#include <stdlib.h>

#include <string.h>

#include <math.h>

#include <stdio.h>





Macros


#define VL_SIFT_BILINEAR_ORIENTATIONS   1


 Use bilinear interpolation to compute orientations.  


#define EXPN_SZ   256


#define EXPN_MAX   25.0





Functions


double fast_expn (double x)


 Fast $exp(-x)$ approximation.  


void fast_expn_init ()


 Initialize tables for fast_expn.  


static void copy_and_upsample_rows (vl_sift_pix *dst, vl_sift_pix const *src, int width, int height)


 Copy image, upsample rows and take transpose.  


static void _vl_sift_smooth (VlSiftFilt *self, vl_sift_pix *outputImage, vl_sift_pix *tempImage, vl_sift_pix const *inputImage, vl_size width, vl_size height, double sigma)


 Smooth an image.  


static void copy_and_downsample (vl_sift_pix *dst, vl_sift_pix const *src, int width, int height, int d)


 Copy and downsample an image.  


VlSiftFilt * vl_sift_new (int width, int height, int noctaves, int nlevels, int o_min)


 Create a new SIFT filter.  


void vl_sift_delete (VlSiftFilt *f)


 Delete SIFT filter.  


int vl_sift_process_first_octave (VlSiftFilt *f, vl_sift_pix const *im)


 Start processing a new image.  


int vl_sift_process_next_octave (VlSiftFilt *f)


 Process next octave.  


void vl_sift_detect (VlSiftFilt *f)


 Detect keypoints.  


static void update_gradient (VlSiftFilt *f)


 Update gradients to current GSS octave.  


int vl_sift_calc_keypoint_orientations (VlSiftFilt *f, double angles[4], VlSiftKeypoint const *k)


 Calculate the keypoint orientation(s)  


vl_sift_pix normalize_histogram (vl_sift_pix *begin, vl_sift_pix *end)


 Normalizes in norm L_2 a descriptor.  


void vl_sift_calc_raw_descriptor (VlSiftFilt const *f, vl_sift_pix const *grad, vl_sift_pix *descr, int width, int height, double x, double y, double sigma, double angle0)


 Run the SIFT descriptor on raw data.  


void vl_sift_calc_keypoint_descriptor (VlSiftFilt *f, vl_sift_pix *descr, VlSiftKeypoint const *k, double angle0)


 Compute the descriptor of a keypoint.  


void vl_sift_keypoint_init (VlSiftFilt const *f, VlSiftKeypoint *k, double x, double y, double sigma)


 Initialize a keypoint from its position and scale.  





Variables


double expn_tab [EXPN_SZ+1]




Detailed Description


Author:
Andrea Vedaldi 


Macro Definition Documentation






      

        

          #define EXPN_MAX   25.0
        

      




fast_expn table max 











      

        

          #define EXPN_SZ   256
        

      




fast_expn table size 











      

        

          #define VL_SIFT_BILINEAR_ORIENTATIONS   1
        

      









Function Documentation








  

  
      

        

          static void _vl_sift_smooth 
          (
          VlSiftFilt * 
          self, 
        

        

          
          
          vl_sift_pix * 
          outputImage, 
        

        

          
          
          vl_sift_pix * 
          tempImage, 
        

        

          
          
          vl_sift_pix const * 
          inputImage, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          double 
          sigma 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
selfSIFT filter. 

    
outputImageoutput imgae buffer. 

    
tempImagetemporary image buffer. 

    
inputImageinput image buffer. 

    
widthinput image width. 

    
heightinput image height. 

    
sigmasmoothing. 

  

  















  

  
      

        

          static void copy_and_downsample 
          (
          vl_sift_pix * 
          dst, 
        

        

          
          
          vl_sift_pix const * 
          src, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height, 
        

        

          
          
          int 
          d 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
dstoutput imgae buffer. 

    
srcinput image buffer. 

    
widthinput image width. 

    
heightinput image height. 

    
doctaves (non negative).

  

  




The function downsamples the image d times, reducing it to 1/2^d of its original size. The parameters width and height are the size of the input image. The destination image dst is assumed to be floor(width/2^d) pixels wide and floor(height/2^d) pixels high. 













  

  
      

        

          static void copy_and_upsample_rows 
          (
          vl_sift_pix * 
          dst, 
        

        

          
          
          vl_sift_pix const * 
          src, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height 
        

        

          
          )
          
        

      

  		
  
static  
  






Parameters:

  

    
dstoutput image buffer. 

    
srcinput image buffer. 

    
widthinput image width. 

    
heightinput image height.

  

  




The output image has dimensions height by 2 width (so the destination buffer must be at least as big as two times the input buffer).


Upsampling is performed by linear interpolation. 













  

  
      

        

          double fast_expn 
          (
          double 
          x)
          
        

      

  		
  
inline  
  






Parameters:

  

    
xargument.

  

  




The argument must be in the range [0, EXPN_MAX] .


Returns:
approximation of $exp(-x)$. 













  

  
      

        

          void fast_expn_init 
          (
          )
          
        

      

  		
  
inline  
  

















  

  
      

        

          vl_sift_pix normalize_histogram 
          (
          vl_sift_pix * 
          begin, 
        

        

          
          
          vl_sift_pix * 
          end 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
beginbegin of histogram. 

    
endend of histogram. 

  

  















  

  
      

        

          static void update_gradient 
          (
          VlSiftFilt * 
          f)
          
        

      

  		
  
static  
  






Parameters:

  

    
fSIFT filter.

  

  




The function makes sure that the gradient buffer is up-to-date with the current GSS data.


Remarks:
The minimum octave size is 2x2xS. 











      

        

          void vl_sift_calc_keypoint_descriptor 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          vl_sift_pix * 
          descr, 
        

        

          
          
          VlSiftKeypoint const * 
          k, 
        

        

          
          
          double 
          angle0 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
descrSIFT descriptor (output) 

    
kkeypoint. 

    
angle0keypoint direction.

  

  




The function computes the SIFT descriptor of the keypoint k of orientation angle0. The function fills the buffer descr which must be large enough to hold the descriptor.


The function assumes that the keypoint is on the current octave. If not, it does not do anything. 











      

        

          int vl_sift_calc_keypoint_orientations 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          angles[4], 
        

        

          
          
          VlSiftKeypoint const * 
          k 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
anglesorientations (output). 

    
kkeypoint.

  

  




The function computes the orientation(s) of the keypoint k. The function returns the number of orientations found (up to four). The orientations themselves are written to the vector angles.


Remarks:
The function requires the keypoint octave k->o to be equal to the filter current octave vl_sift_get_octave. If this is not the case, the function returns zero orientations.



The function requires the keypoint scale level k->s to be in the range s_min+1 and s_max-2 (where usually s_min=0 and s_max=S+2). If this is not the case, the function returns zero orientations.


Returns:
number of orientations found. 











      

        

          void vl_sift_calc_raw_descriptor 
          (
          VlSiftFilt const * 
          f, 
        

        

          
          
          vl_sift_pix const * 
          grad, 
        

        

          
          
          vl_sift_pix * 
          descr, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height, 
        

        

          
          
          double 
          x, 
        

        

          
          
          double 
          y, 
        

        

          
          
          double 
          sigma, 
        

        

          
          
          double 
          angle0 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
gradimage gradients. 

    
descrSIFT descriptor (output). 

    
widthimage width. 

    
heightimage height. 

    
xkeypoint x coordinate. 

    
ykeypoint y coordinate. 

    
sigmakeypoint scale. 

    
angle0keypoint orientation.

  

  




The function runs the SIFT descriptor on raw data. Here image is a 2 x width x height array (by convention, the memory layout is a s such the first index is the fastest varying one). The first width x height layer of the array contains the gradient magnitude and the second the gradient angle (in radians, between 0 and $ 2\pi $). x, y and sigma give the keypoint center and scale respectively.


In order to be equivalent to a standard SIFT descriptor the image gradient must be computed at a smoothing level equal to the scale of the keypoint. In practice, the actual SIFT algorithm makes the following additional approximation, which influence the result:


    

  • Scale is discretized in S levels.
    • 

  • The image is downsampled once for each octave (if you do this, the parameters x, y and sigma must be scaled too). 
    • 












      

        

          void vl_sift_delete 
          (
          VlSiftFilt * 
          f)
          
        

      




Parameters:

  

    
fSIFT filter to delete.

  

  




The function frees the resources allocated by vl_sift_new(). 











      

        

          void vl_sift_detect 
          (
          VlSiftFilt * 
          f)
          
        

      




The function detect keypoints in the current octave filling the internal keypoint buffer. Keypoints can be retrieved by vl_sift_get_keypoints().


Parameters:

  

    
fSIFT filter. 

  

  




Index GSS 


Index matrix A 











      

        

          void vl_sift_keypoint_init 
          (
          VlSiftFilt const * 
          f, 
        

        

          
          
          VlSiftKeypoint * 
          k, 
        

        

          
          
          double 
          x, 
        

        

          
          
          double 
          y, 
        

        

          
          
          double 
          sigma 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
kSIFT keypoint (output). 

    
xx coordinate of the keypoint center. 

    
yy coordinate of the keypoint center. 

    
sigmakeypoint scale.

  

  




The function initializes a keypoint structure k from the location x and y and the scale sigma of the keypoint. The keypoint structure maps the keypoint to an octave and scale level of the discretized Gaussian scale space, which is required for instance to compute the keypoint SIFT descriptor.


Algorithm


The formula linking the keypoint scale sigma to the octave and scale indexes is



\[ \sigma(o,s) = \sigma_0 2^{o+s/S} \]



In addition to the scale index s (which can be fractional due to scale interpolation) a keypoint has an integer scale index is too (which is the index of the scale level where it was detected in the DoG scale space). We have the constraints (Detector see also the "SIFT detector"):


    

  • o is integer in the range $ [o_\mathrm{min}, o_{\mathrm{min}}+O-1] $.
    • 

  • is is integer in the range $ [s_\mathrm{min}+1, s_\mathrm{max}-2] $. This depends on how the scale is determined during detection, and must be so here because gradients are computed only for this range of scale levels and are required for the calculation of the SIFT descriptor.
    • 

  • $ |s - is| < 0.5 $ for detected keypoints in most cases due to the interpolation technique used during detection. However this is not necessary.
    • 



Thus octave o represents scales $ \{ \sigma(o, s) : s \in [s_\mathrm{min}+1-.5, s_\mathrm{max}-2+.5] \} $. Note that some scales may be represented more than once. For each scale, we select the largest possible octave that contains it, i.e.



\[ o(\sigma) = \max \{ o \in \mathbb{Z} : \sigma_0 2^{\frac{s_\mathrm{min}+1-.5}{S}} \leq \sigma \} = \mathrm{floor}\,\left[ \log_2(\sigma / \sigma_0) - \frac{s_\mathrm{min}+1-.5}{S}\right] \]



and then



\[ s(\sigma) = S \left[\log_2(\sigma / \sigma_0) - o(\sigma)\right], \quad is(\sigma) = \mathrm{round}\,(s(\sigma)) \]



In practice, both $ o(\sigma) $ and $ is(\sigma) $ are clamped to their feasible range as determined by the SIFT filter parameters. 











      

        

          VlSiftFilt* vl_sift_new 
          (
          int 
          width, 
        

        

          
          
          int 
          height, 
        

        

          
          
          int 
          noctaves, 
        

        

          
          
          int 
          nlevels, 
        

        

          
          
          int 
          o_min 
        

        

          
          )
          
        

      




Parameters:

  

    
widthimage width. 

    
heightimage height. 

    
noctavesnumber of octaves. 

    
nlevelsnumber of levels per octave. 

    
o_minfirst octave index.

  

  




The function allocates and returns a new SIFT filter for the specified image and scale space geometry.


Setting O to a negative value sets the number of octaves to the maximum possible value depending on the size of the image.


Returns:
the new SIFT filter. 


See also:
vl_sift_delete(). 











      

        

          int vl_sift_process_first_octave 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          vl_sift_pix const * 
          im 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
imimage data.

  

  




The function starts processing a new image by computing its Gaussian scale space at the lower octave. It also empties the internal keypoint buffer.


Returns:
error code. The function returns VL_ERR_EOF if there are no more octaves to process.


See also:
vl_sift_process_next_octave(). 











      

        

          int vl_sift_process_next_octave 
          (
          VlSiftFilt * 
          f)
          
        

      




Parameters:

  

    
fSIFT filter.

  

  




The function computes the next octave of the Gaussian scale space. Notice that this clears the record of any feature detected in the previous octave.


Returns:
error code. The function returns the error VL_ERR_EOF when there are no more octaves to process.


See also:
vl_sift_process_first_octave(). 







Variable Documentation






      

        

          double expn_tab[EXPN_SZ+1]
        

      




fast_expn table 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Typedefs  

  


sift.h File Reference
  







SIFT (Scale Invariant Feature Transform (SIFT))  
More...


#include <stdio.h>

#include "generic.h"





Data Structures


struct  VlSiftKeypoint


 SIFT filter keypoint.  More...


struct  VlSiftFilt


 SIFT filter.  More...





Typedefs



typedef float vl_sift_pix


 SIFT filter pixel type. 





Functions


Create and destroy


VlSiftFilt * vl_sift_new (int width, int height, int noctaves, int nlevels, int o_min)


 Create a new SIFT filter.  


void vl_sift_delete (VlSiftFilt *f)


 Delete SIFT filter.  


Process data


int vl_sift_process_first_octave (VlSiftFilt *f, vl_sift_pix const *im)


 Start processing a new image.  


int vl_sift_process_next_octave (VlSiftFilt *f)


 Process next octave.  


void vl_sift_detect (VlSiftFilt *f)


 Detect keypoints.  


int vl_sift_calc_keypoint_orientations (VlSiftFilt *f, double angles[4], VlSiftKeypoint const *k)


 Calculate the keypoint orientation(s)  


void vl_sift_calc_keypoint_descriptor (VlSiftFilt *f, vl_sift_pix *descr, VlSiftKeypoint const *k, double angle)


 Compute the descriptor of a keypoint.  


void vl_sift_calc_raw_descriptor (VlSiftFilt const *f, vl_sift_pix const *image, vl_sift_pix *descr, int widht, int height, double x, double y, double s, double angle0)


 Run the SIFT descriptor on raw data.  


void vl_sift_keypoint_init (VlSiftFilt const *f, VlSiftKeypoint *k, double x, double y, double sigma)


 Initialize a keypoint from its position and scale.  


Retrieve data and parameters


int vl_sift_get_octave_index (VlSiftFilt const *f)


 Get current octave index.  


int vl_sift_get_noctaves (VlSiftFilt const *f)


 Get number of octaves.  


int vl_sift_get_octave_first (VlSiftFilt const *f)


 Get first octave.  


int vl_sift_get_octave_width (VlSiftFilt const *f)


 Get current octave width.  


int vl_sift_get_octave_height (VlSiftFilt const *f)


 Get current octave height.  


int vl_sift_get_nlevels (VlSiftFilt const *f)


 Get number of levels per octave.  


int vl_sift_get_nkeypoints (VlSiftFilt const *f)


 Get number of keypoints.  


double vl_sift_get_peak_thresh (VlSiftFilt const *f)


 Get peaks treashold.  


double vl_sift_get_edge_thresh (VlSiftFilt const *f)


 Get edges threshold.  


double vl_sift_get_norm_thresh (VlSiftFilt const *f)


 Get norm threshold.  


double vl_sift_get_magnif (VlSiftFilt const *f)


 Get the magnification factor.  


double vl_sift_get_window_size (VlSiftFilt const *f)


 Get the Gaussian window size.  


vl_sift_pix * vl_sift_get_octave (VlSiftFilt const *f, int s)


 Get current octave data.  


VlSiftKeypoint const * vl_sift_get_keypoints (VlSiftFilt const *f)


 Get keypoints.  


Set parameters


void vl_sift_set_peak_thresh (VlSiftFilt *f, double t)


 Set peaks threshold.  


void vl_sift_set_edge_thresh (VlSiftFilt *f, double t)


 Set edges threshold.  


void vl_sift_set_norm_thresh (VlSiftFilt *f, double t)


 Set norm threshold.  


void vl_sift_set_magnif (VlSiftFilt *f, double m)


 Set the magnification factor.  


void vl_sift_set_window_size (VlSiftFilt *f, double x)


 Set the Gaussian window size.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_sift_calc_keypoint_descriptor 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          vl_sift_pix * 
          descr, 
        

        

          
          
          VlSiftKeypoint const * 
          k, 
        

        

          
          
          double 
          angle0 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
descrSIFT descriptor (output) 

    
kkeypoint. 

    
angle0keypoint direction.

  

  




The function computes the SIFT descriptor of the keypoint k of orientation angle0. The function fills the buffer descr which must be large enough to hold the descriptor.


The function assumes that the keypoint is on the current octave. If not, it does not do anything. 











      

        

          int vl_sift_calc_keypoint_orientations 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          angles[4], 
        

        

          
          
          VlSiftKeypoint const * 
          k 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
anglesorientations (output). 

    
kkeypoint.

  

  




The function computes the orientation(s) of the keypoint k. The function returns the number of orientations found (up to four). The orientations themselves are written to the vector angles.


Remarks:
The function requires the keypoint octave k->o to be equal to the filter current octave vl_sift_get_octave. If this is not the case, the function returns zero orientations.



The function requires the keypoint scale level k->s to be in the range s_min+1 and s_max-2 (where usually s_min=0 and s_max=S+2). If this is not the case, the function returns zero orientations.


Returns:
number of orientations found. 











      

        

          void vl_sift_calc_raw_descriptor 
          (
          VlSiftFilt const * 
          f, 
        

        

          
          
          vl_sift_pix const * 
          grad, 
        

        

          
          
          vl_sift_pix * 
          descr, 
        

        

          
          
          int 
          width, 
        

        

          
          
          int 
          height, 
        

        

          
          
          double 
          x, 
        

        

          
          
          double 
          y, 
        

        

          
          
          double 
          sigma, 
        

        

          
          
          double 
          angle0 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
gradimage gradients. 

    
descrSIFT descriptor (output). 

    
widthimage width. 

    
heightimage height. 

    
xkeypoint x coordinate. 

    
ykeypoint y coordinate. 

    
sigmakeypoint scale. 

    
angle0keypoint orientation.

  

  




The function runs the SIFT descriptor on raw data. Here image is a 2 x width x height array (by convention, the memory layout is a s such the first index is the fastest varying one). The first width x height layer of the array contains the gradient magnitude and the second the gradient angle (in radians, between 0 and $ 2\pi $). x, y and sigma give the keypoint center and scale respectively.


In order to be equivalent to a standard SIFT descriptor the image gradient must be computed at a smoothing level equal to the scale of the keypoint. In practice, the actual SIFT algorithm makes the following additional approximation, which influence the result:


    

  • Scale is discretized in S levels.
    • 

  • The image is downsampled once for each octave (if you do this, the parameters x, y and sigma must be scaled too). 
    • 












      

        

          void vl_sift_delete 
          (
          VlSiftFilt * 
          f)
          
        

      




Parameters:

  

    
fSIFT filter to delete.

  

  




The function frees the resources allocated by vl_sift_new(). 











      

        

          void vl_sift_detect 
          (
          VlSiftFilt * 
          f)
          
        

      




The function detect keypoints in the current octave filling the internal keypoint buffer. Keypoints can be retrieved by vl_sift_get_keypoints().


Parameters:

  

    
fSIFT filter. 

  

  




Index GSS 


Index matrix A 













  

  
      

        

          double vl_sift_get_edge_thresh 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
threshold. 













  

  
      

        

          VlSiftKeypoint const * vl_sift_get_keypoints 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
pointer to the keypoints list. 













  

  
      

        

          double vl_sift_get_magnif 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
magnification factor. 













  

  
      

        

          int vl_sift_get_nkeypoints 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
number of keypoints. 













  

  
      

        

          int vl_sift_get_nlevels 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
number of leves per octave. 













  

  
      

        

          int vl_sift_get_noctaves 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
number of octaves. 













  

  
      

        

          double vl_sift_get_norm_thresh 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
threshold. 













  

  
      

        

          vl_sift_pix * vl_sift_get_octave 
          (
          VlSiftFilt const * 
          f, 
        

        

          
          
          int 
          s 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

    
slevel index.

  

  




The level index s ranges in the interval s_min = -1 and  s_max = S + 2, where S is the number of levels per octave.


Returns:
pointer to the octave data for level s. 













  

  
      

        

          int vl_sift_get_octave_first 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  







 
Parameters:

  

    
fSIFT filter. 

  

  




Returns:
index of the first octave. 













  

  
      

        

          int vl_sift_get_octave_height 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
current octave height. 













  

  
      

        

          int vl_sift_get_octave_index 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
index of the current octave. 













  

  
      

        

          int vl_sift_get_octave_width 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
current octave width. 













  

  
      

        

          double vl_sift_get_peak_thresh 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
threshold ; 













  

  
      

        

          double vl_sift_get_window_size 
          (
          VlSiftFilt const * 
          f)
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

  

  




Returns:
standard deviation of the Gaussian window (in spatial bin units). 











      

        

          void vl_sift_keypoint_init 
          (
          VlSiftFilt const * 
          f, 
        

        

          
          
          VlSiftKeypoint * 
          k, 
        

        

          
          
          double 
          x, 
        

        

          
          
          double 
          y, 
        

        

          
          
          double 
          sigma 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
kSIFT keypoint (output). 

    
xx coordinate of the keypoint center. 

    
yy coordinate of the keypoint center. 

    
sigmakeypoint scale.

  

  




The function initializes a keypoint structure k from the location x and y and the scale sigma of the keypoint. The keypoint structure maps the keypoint to an octave and scale level of the discretized Gaussian scale space, which is required for instance to compute the keypoint SIFT descriptor.


Algorithm


The formula linking the keypoint scale sigma to the octave and scale indexes is



\[ \sigma(o,s) = \sigma_0 2^{o+s/S} \]



In addition to the scale index s (which can be fractional due to scale interpolation) a keypoint has an integer scale index is too (which is the index of the scale level where it was detected in the DoG scale space). We have the constraints (Detector see also the "SIFT detector"):


    

  • o is integer in the range $ [o_\mathrm{min}, o_{\mathrm{min}}+O-1] $.
    • 

  • is is integer in the range $ [s_\mathrm{min}+1, s_\mathrm{max}-2] $. This depends on how the scale is determined during detection, and must be so here because gradients are computed only for this range of scale levels and are required for the calculation of the SIFT descriptor.
    • 

  • $ |s - is| < 0.5 $ for detected keypoints in most cases due to the interpolation technique used during detection. However this is not necessary.
    • 



Thus octave o represents scales $ \{ \sigma(o, s) : s \in [s_\mathrm{min}+1-.5, s_\mathrm{max}-2+.5] \} $. Note that some scales may be represented more than once. For each scale, we select the largest possible octave that contains it, i.e.



\[ o(\sigma) = \max \{ o \in \mathbb{Z} : \sigma_0 2^{\frac{s_\mathrm{min}+1-.5}{S}} \leq \sigma \} = \mathrm{floor}\,\left[ \log_2(\sigma / \sigma_0) - \frac{s_\mathrm{min}+1-.5}{S}\right] \]



and then



\[ s(\sigma) = S \left[\log_2(\sigma / \sigma_0) - o(\sigma)\right], \quad is(\sigma) = \mathrm{round}\,(s(\sigma)) \]



In practice, both $ o(\sigma) $ and $ is(\sigma) $ are clamped to their feasible range as determined by the SIFT filter parameters. 











      

        

          VlSiftFilt* vl_sift_new 
          (
          int 
          width, 
        

        

          
          
          int 
          height, 
        

        

          
          
          int 
          noctaves, 
        

        

          
          
          int 
          nlevels, 
        

        

          
          
          int 
          o_min 
        

        

          
          )
          
        

      




Parameters:

  

    
widthimage width. 

    
heightimage height. 

    
noctavesnumber of octaves. 

    
nlevelsnumber of levels per octave. 

    
o_minfirst octave index.

  

  




The function allocates and returns a new SIFT filter for the specified image and scale space geometry.


Setting O to a negative value sets the number of octaves to the maximum possible value depending on the size of the image.


Returns:
the new SIFT filter. 


See also:
vl_sift_delete(). 











      

        

          int vl_sift_process_first_octave 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          vl_sift_pix const * 
          im 
        

        

          
          )
          
        

      




Parameters:

  

    
fSIFT filter. 

    
imimage data.

  

  




The function starts processing a new image by computing its Gaussian scale space at the lower octave. It also empties the internal keypoint buffer.


Returns:
error code. The function returns VL_ERR_EOF if there are no more octaves to process.


See also:
vl_sift_process_next_octave(). 











      

        

          int vl_sift_process_next_octave 
          (
          VlSiftFilt * 
          f)
          
        

      




Parameters:

  

    
fSIFT filter.

  

  




The function computes the next octave of the Gaussian scale space. Notice that this clears the record of any feature detected in the previous octave.


Returns:
error code. The function returns the error VL_ERR_EOF when there are no more octaves to process.


See also:
vl_sift_process_first_octave(). 













  

  
      

        

          void vl_sift_set_edge_thresh 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          t 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

    
tthreshold. 

  

  















  

  
      

        

          void vl_sift_set_magnif 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          m 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

    
mmagnification factor. 

  

  















  

  
      

        

          void vl_sift_set_norm_thresh 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          t 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

    
tthreshold. 

  

  















  

  
      

        

          void vl_sift_set_peak_thresh 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          t 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

    
tthreshold. 

  

  















  

  
      

        

          void vl_sift_set_window_size 
          (
          VlSiftFilt * 
          f, 
        

        

          
          
          double 
          x 
        

        

          
          )
          
        

      

  		
  
inline  
  






Parameters:

  

    
fSIFT filter. 

    
xGaussian window size (in units of spatial bin).

  

  




This is the parameter $ \hat \sigma_{\text{win}} $ of the standard SIFT descriptor Standard SIFT descriptor. 








     
    

   

   
 

  
 
   
 
 

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Simple Linear Iterative Clustering (SLIC) 
  






Author:
Andrea Vedaldi


slic.h implements the Simple Linear Iterative Clustering (SLIC) algorithm, an image segmentation method described in [1] .




Overview


SLIC [1] is a simple and efficient method to decompose an image in visually homogeneous regions. It is based on a spatially localized version of k-means clustering. Similar to mean shift or quick shift (quickshift.h), each pixel is associated to a feature vector



\[ \Psi(x,y) = \left[ \begin{array}{c} \lambda x \\ \lambda y \\ I(x,y) \end{array} \right] \]



and then k-means clustering is run on those. As discussed below, the coefficient $ \lambda $ balances the spatial and appearance components of the feature vectors, imposing a degree of spatial regularization to the extracted regions.


SLIC takes two parameters: the nominal size of the regions (superpixels) regionSize and the strength of the spatial regularization regularizer. The image is first divided into a grid with step regionSize. The center of each grid tile is then used to initialize a corresponding k-means (up to a small shift to avoid image edges). Finally, the k-means centers and clusters are refined by using the Lloyd algorithm, yielding segmenting the image. As a further restriction and simplification, during the k-means iterations each pixel can be assigned to only the 2 x 2 centers corresponding to grid tiles adjacent to the pixel.


The parameter regularizer sets the trade-off between clustering appearance and spatial regularization. This is obtained by setting



\[ \lambda = \frac{\mathtt{regularizer}}{\mathtt{regionSize}} \]



in the definition of the feature $ \psi(x,y) $.


After the k-means step, SLIC optionally removes any segment whose area is smaller than a threshld minRegionSize by merging them into larger ones.



Usage from the C library


To compute the SLIC superpixels of an image use the function vl_slic_segment.



Technical details


SLIC starts by dividing the image domain into a regular grid with $ M \times N $ tiles, where



\[ M = \lceil \frac{\mathtt{imageWidth}}{\mathtt{regionSize}} \rceil, \quad N = \lceil \frac{\mathtt{imageHeight}}{\mathtt{regionSize}} \rceil. \]



A region (superpixel or k-means cluster) is initialized from each grid center



\[ x_i = \operatorname{round} i \frac{\mathtt{imageWidth}}{\mathtt{regionSize}} \quad y_j = \operatorname{round} j \frac{\mathtt{imageWidth}}{\mathtt{regionSize}}. \]



In order to avoid placing these centers on top of image discontinuities, the centers are then moved in a 3 x 3 neighbourohood to minimize the edge strength



\[ \operatorname{edge}(x,y) = \| I(x+1,y) - I(x-1,y) \|_2^2 + \| I(x,y+1) - I(x,y-1) \|_2^2. \]



Then the regions are obtained by running k-means clustering, started from the centers



\[ C = \{ \Psi(x_i,y_j), i=0,1,\dots,M-1\ j=0,1,\dots,N-1 \} \]



thus obtained. K-means uses the standard LLoyd algorithm alternating assigning pixels to the clostest centers a re-estiamting the centers as the average of the corresponding feature vectors of the pixel assigned to them. The only difference compared to standard k-means is that each pixel can be assigned only to the center originated from the neighbour tiles. This guarantees that there are exactly four pixel-to-center comparisons at each round of minimization, which threfore cost $ O(n) $, where $ n $ is the number of superpixels.


After k-means has converged, SLIC eliminates any connected region whose area is less than minRegionSize pixels. This is done by greedily merging regions to neighbour ones: the pixels $ p $ are scanned in lexicographical order and the corresponding connected components are visited. If a region has already been visited, it is skipped; if not, its area is computed and if this is less than minRegionSize its label is changed to the one of a neighbour region at $ p $ that has already been vistied (there is always one except for the very first pixel). 



     
    

   

   
 

  
 
   
 
 

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Functions  

  


slic.c File Reference
  







SLIC superpixels - Definition.  
More...


#include "slic.h"

#include "mathop.h"

#include <math.h>

#include <string.h>





Functions


void vl_slic_segment (vl_uint32 *segmentation, float const *image, vl_size width, vl_size height, vl_size numChannels, vl_size regionSize, float regularization, vl_size minRegionSize)


 SLIC superpixel segmentation.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_slic_segment 
          (
          vl_uint32 * 
          segmentation, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          numChannels, 
        

        

          
          
          vl_size 
          regionSize, 
        

        

          
          
          float 
          regularization, 
        

        

          
          
          vl_size 
          minRegionSize 
        

        

          
          )
          
        

      




Parameters:

  

    
segmentationsegmentation. 

    
imageimage to segment. 

    
widthimage width. 

    
heightimage height. 

    
numChannelsnumber of image channels (depth). 

    
regionSizenominal size of the regions. 

    
regularizationtrade-off between appearance and spatial terms. 

    
minRegionSizeminimum size of a segment.

  

  




The function computes the SLIC superpixels of the specified image image. image is a pointer to an width by height by by numChannles array of float. segmentation is a pointer to a width by height array of vl_uint32. segmentation contain the labels of each image pixels, from 0 to the number of regions minus one.


See also:
Overview, Technical details 








     
    

   

   
 

  
 
   
 
 

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Functions  

  


slic.h File Reference
  







SLIC superpixels (Simple Linear Iterative Clustering (SLIC))  
More...


#include "generic.h"





Functions


void vl_slic_segment (vl_uint32 *segmentation, float const *image, vl_size width, vl_size height, vl_size numChannels, vl_size regionSize, float regularization, vl_size minRegionSize)


 SLIC superpixel segmentation.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          void vl_slic_segment 
          (
          vl_uint32 * 
          segmentation, 
        

        

          
          
          float const * 
          image, 
        

        

          
          
          vl_size 
          width, 
        

        

          
          
          vl_size 
          height, 
        

        

          
          
          vl_size 
          numChannels, 
        

        

          
          
          vl_size 
          regionSize, 
        

        

          
          
          float 
          regularization, 
        

        

          
          
          vl_size 
          minRegionSize 
        

        

          
          )
          
        

      




Parameters:

  

    
segmentationsegmentation. 

    
imageimage to segment. 

    
widthimage width. 

    
heightimage height. 

    
numChannelsnumber of image channels (depth). 

    
regionSizenominal size of the regions. 

    
regularizationtrade-off between appearance and spatial terms. 

    
minRegionSizeminimum size of a segment.

  

  




The function computes the SLIC superpixels of the specified image image. image is a pointer to an width by height by by numChannles array of float. segmentation is a pointer to a width by height array of vl_uint32. segmentation contain the labels of each image pixels, from 0 to the number of regions minus one.


See also:
Overview, Technical details 








     
    

   

   
 

  
 
   
 
 

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Functions  

  


stringop.c File Reference
  







String operations - Definition.  
More...


#include "stringop.h"

#include <string.h>

#include <ctype.h>





Functions


char * vl_string_parse_protocol (char const *string, int *protocol)


 Extract the protocol prefix from a string.  


char const * vl_string_protocol_name (int protocol)


 Get protocol name.  


vl_size vl_string_basename (char *destination, vl_size destinationSize, char const *source, vl_size maxNumStrippedExtensions)


 Extract base of file name.  


vl_size vl_string_replace_wildcard (char *destination, vl_size destinationSize, char const *source, char wildcardChar, char escapeChar, char const *replacement)


 Replace wildcard characters by a string.  


vl_size vl_string_copy (char *destination, vl_size destinationSize, char const *source)


 Copy string.  


vl_size vl_string_copy_sub (char *destination, vl_size destinationSize, char const *beginning, char const *end)


 Copy substring.  


char * vl_string_find_char_rev (char const *beginning, char const *end, char c)


 Search character in reversed order.  


vl_size vl_string_length (char const *string)


 Calculate string length.  


int vl_string_casei_cmp (const char *string1, const char *string2)


 Compare strings case-insensitive.  


VlEnumerator * vl_enumeration_get (VlEnumerator const *enumeration, char const *name)


 Get a member of an enumeration by name.  


VlEnumerator * vl_enumeration_get_casei (VlEnumerator const *enumeration, char const *name)


 Get a member of an enumeration by name (case insensitive)  


VlEnumerator * vl_enumeration_get_by_value (VlEnumerator const *enumeration, vl_index value)


 Get a member of an enumeration by value.  




Detailed Description


Author:
Andrea Vedaldi 


Function Documentation






      

        

          VlEnumerator* vl_enumeration_get 
          (
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          char const * 
          name 
        

        

          
          )
          
        

      




Parameters:

  

    
enumerationarray of VlEnumerator objects. 

    
namethe name of the desired member. 

  

  




Returns:
enumerator matching name.


If name is not found in the enumeration, then the value NULL is returned.


See also:
vl-stringop-enumeration 











      

        

          VlEnumerator* vl_enumeration_get_by_value 
          (
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          vl_index 
          value 
        

        

          
          )
          
        

      




Parameters:

  

    
enumerationarray of VlEnumerator objects. 

    
valuevalue of the desired member. 

  

  




Returns:
enumerator matching value.


If value is not found in the enumeration, then the value NULL is returned.


See also:
vl-stringop-enumeration 











      

        

          VlEnumerator* vl_enumeration_get_casei 
          (
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          char const * 
          name 
        

        

          
          )
          
        

      




Parameters:

  

    
enumerationarray of VlEnumerator objects. 

    
namethe name of the desired member. 

  

  




Returns:
enumerator matching name.


If name is not found in the enumeration, then the value NULL is returned. string is matched case insensitive.


See also:
vl-stringop-enumeration 











      

        

          vl_size vl_string_basename 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          source, 
        

        

          
          
          vl_size 
          maxNumStrippedExtensions 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationdestination buffer. 

    
destinationSizesize of destination buffer. 

    
sourceinput string. 

    
maxNumStrippedExtensionsmaximum number of extensions to strip. 

  

  




Returns:
length of the destination string.


The function removes the leading path and up to maxNumStrippedExtensions trailing extensions from the string source and writes the result to the buffer destination.


The leading path is the longest suffix that ends with either the \ or / characters. An extension is a string starting with the . character not containing it. For instance, the string file.png contains the extension .png and the string file.tar.gz contains two extensions (.tar and .gz).


See also:
Detecting overflow. 











      

        

          int vl_string_casei_cmp 
          (
          const char * 
          string1, 
        

        

          
          
          const char * 
          string2 
        

        

          
          )
          
        

      




Parameters:

  

    
string1fisrt string. 

    
string2second string. 

  

  




Returns:
an integer =,<,> 0 if string1 =,<,> string2 











      

        

          vl_size vl_string_copy 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          source 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationoutput buffer. 

    
destinationSizesize of the output buffer. 

    
sourcestring to copy. 

  

  




Returns:
length of the source string.


The function copies the string source to the buffer destination of size destinationSize.


See also:
Detecting overflow. 











      

        

          vl_size vl_string_copy_sub 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          beginning, 
        

        

          
          
          char const * 
          end 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationoutput buffer. 

    
destinationSizesize of output buffer. 

    
beginningstart of the substring. 

    
endend of the substring. 

  

  




Returns:
length of the destination string.


The function copies the substring from at beginning to end (not included) to the buffer destination of size destinationSize. If, however, the null character is found before end, the substring terminates there.


See also:
Detecting overflow. 











      

        

          char* vl_string_find_char_rev 
          (
          char const * 
          beginning, 
        

        

          
          
          char const * 
          end, 
        

        

          
          
          char 
          c 
        

        

          
          )
          
        

      




Parameters:

  

    
beginningpointer to the substring beginning. 

    
endpointer to the substring end. 

    
ccharacter to search for. 

  

  




Returns:
pointer to last occurrence of c, or 0 if none.


The function searches for the last occurrence of the character c in the substring from beg to end (the latter not being included). 











      

        

          vl_size vl_string_length 
          (
          char const * 
          string)
          
        

      




Parameters:

  

    
stringstring. 

  

  




Returns:
string length. 











      

        

          char* vl_string_parse_protocol 
          (
          char const * 
          string, 
        

        

          
          
          int * 
          protocol 
        

        

          
          )
          
        

      




Parameters:

  

    
stringstring. 

    
protocolprotocol code (output). 

  

  




Returns:
pointer to the first character after the protocol prefix.


The function extracts the prefix of the string string terminated by the first occurrence of the :// substring (if any). It then matches the suffix terminated by :// to the supported File protocols protocols. If protocol is not NULL, the corresponding protocol code is written to protocol 


The function writes to protocol the value VL_PROT_NONE if no suffix is detected and VL_PROT_UNKNOWN if there is a suffix but it cannot be matched to any of the supported protocols. 











      

        

          char const* vl_string_protocol_name 
          (
          int 
          protocol)
          
        

      




Parameters:

  

    
protocolprotocol code. 

  

  




Returns:
pointer protocol name string.


The function returns a pointer to a string containing the name of the protocol protocol (see the vl-file-protocols protocols list). If the protocol is unknown the function returns the empty string. 











      

        

          vl_size vl_string_replace_wildcard 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          source, 
        

        

          
          
          char 
          wildcardChar, 
        

        

          
          
          char 
          escapeChar, 
        

        

          
          
          char const * 
          replacement 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationoutput buffer. 

    
destinationSizesize of the output buffer. 

    
sourceinput string. 

    
wildcardCharwildcard character. 

    
escapeCharescape character. 

    
replacementreplacement string.

  

  




The function replaces the occurrence of the specified wildcard character wildcardChar by the string replacement. The result is written to the buffer destination of size destinationSize.


Wildcard characters may be escaped by preceding them by the esc character. More in general, anything following an occurrence of esc character is copied verbatim. To disable the escape characters simply set esc to 0.


Returns:
length of the result. 


See also:
Detecting overflow. 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Enumerations |
Functions  

  


stringop.h File Reference
  







String operations.  
More...


#include "generic.h"





Data Structures


struct  VlEnumerator


 Member of an enumeration.  More...





Enumerations


enum  { VL_PROT_UNKNOWN =  -1, 
VL_PROT_NONE =  0, 
VL_PROT_ASCII, 
VL_PROT_BINARY
 }





Functions


vl_size vl_string_copy (char *destination, vl_size destinationSize, char const *source)


 Copy string.  


vl_size vl_string_copy_sub (char *destination, vl_size destinationSize, char const *beginning, char const *end)


 Copy substring.  


char * vl_string_parse_protocol (char const *string, int *protocol)


 Extract the protocol prefix from a string.  


char const * vl_string_protocol_name (int prot)


 Get protocol name.  


vl_size vl_string_basename (char *destination, vl_size destinationSize, char const *source, vl_size maxNumStrippedExtension)


 Extract base of file name.  


vl_size vl_string_replace_wildcard (char *destination, vl_size destinationSize, char const *src, char wildcardChar, char escapeChar, char const *replacement)


 Replace wildcard characters by a string.  


char * vl_string_find_char_rev (char const *beginning, char const *end, char c)


 Search character in reversed order.  


vl_size vl_string_length (char const *string)


 Calculate string length.  


int vl_string_casei_cmp (const char *string1, const char *string2)


 Compare strings case-insensitive.  


String enumerations


VlEnumerator * vl_enumeration_get (VlEnumerator const *enumeration, char const *name)


 Get a member of an enumeration by name.  


VlEnumerator * vl_enumeration_get_casei (VlEnumerator const *enumeration, char const *name)


 Get a member of an enumeration by name (case insensitive)  


VlEnumerator * vl_enumeration_get_by_value (VlEnumerator const *enumeration, vl_index value)


 Get a member of an enumeration by value.  




Detailed Description


Author:
Andrea Vedaldi


stringop.h implements basic string operations. All functions that write to strings use range checking, which makes them safer than some standard POSIX equivalent (see Detecting overflow).




Enumerations


stringop.h defines a simple enumeration data type. This is given by an array of enumeration members, represented by instances of the VlEnumerator strucutre, each storing a name-value pair. The enumeration must end by a member whose name is set to NULL.


Use vl_enumeration_get and vl_enumeration_get_casei to retrieve an enumeration member by name.



File protocols


stringop.h defines a few file "protocols" and helps parsing them from URL-like formatted strings. The supported protocols are:



File protocols


ProtocolCodeURL prefix 



ASCIIVL_PROT_ASCIIascii:// 



BINARYVL_PROT_BINARYbinary:// 





Detecting overflow


stringop.h functions that write a string to a character buffer take both the buffer and its size n as input. If n is not large enough, the output may be truncated but it is always a null terminated string (provided that n >= 1). Such functions also return the length of the string that would have been written r (which does not include the terminating null character) had the buffer been large enough. Hence an overflow can be detected by testing if r >= n, r can be used to re-allocate a buffer large enough to contain the result, and the operation can be repeated.


Author:
Andrea Vedaldi 


Enumeration Type Documentation






      

        

          anonymous enum
        

      




Enumerator: 


VL_PROT_UNKNOWN 

unknown protocol 




VL_PROT_NONE 

no protocol 




VL_PROT_ASCII 

ASCII protocol 




VL_PROT_BINARY 

Binary protocol 















Function Documentation






      

        

          VlEnumerator* vl_enumeration_get 
          (
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          char const * 
          name 
        

        

          
          )
          
        

      




Parameters:

  

    
enumerationarray of VlEnumerator objects. 

    
namethe name of the desired member. 

  

  




Returns:
enumerator matching name.


If name is not found in the enumeration, then the value NULL is returned.


See also:
vl-stringop-enumeration 











      

        

          VlEnumerator* vl_enumeration_get_by_value 
          (
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          vl_index 
          value 
        

        

          
          )
          
        

      




Parameters:

  

    
enumerationarray of VlEnumerator objects. 

    
valuevalue of the desired member. 

  

  




Returns:
enumerator matching value.


If value is not found in the enumeration, then the value NULL is returned.


See also:
vl-stringop-enumeration 











      

        

          VlEnumerator* vl_enumeration_get_casei 
          (
          VlEnumerator const * 
          enumeration, 
        

        

          
          
          char const * 
          name 
        

        

          
          )
          
        

      




Parameters:

  

    
enumerationarray of VlEnumerator objects. 

    
namethe name of the desired member. 

  

  




Returns:
enumerator matching name.


If name is not found in the enumeration, then the value NULL is returned. string is matched case insensitive.


See also:
vl-stringop-enumeration 











      

        

          vl_size vl_string_basename 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          source, 
        

        

          
          
          vl_size 
          maxNumStrippedExtensions 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationdestination buffer. 

    
destinationSizesize of destination buffer. 

    
sourceinput string. 

    
maxNumStrippedExtensionsmaximum number of extensions to strip. 

  

  




Returns:
length of the destination string.


The function removes the leading path and up to maxNumStrippedExtensions trailing extensions from the string source and writes the result to the buffer destination.


The leading path is the longest suffix that ends with either the \ or / characters. An extension is a string starting with the . character not containing it. For instance, the string file.png contains the extension .png and the string file.tar.gz contains two extensions (.tar and .gz).


See also:
Detecting overflow. 











      

        

          int vl_string_casei_cmp 
          (
          const char * 
          string1, 
        

        

          
          
          const char * 
          string2 
        

        

          
          )
          
        

      




Parameters:

  

    
string1fisrt string. 

    
string2second string. 

  

  




Returns:
an integer =,<,> 0 if string1 =,<,> string2 











      

        

          vl_size vl_string_copy 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          source 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationoutput buffer. 

    
destinationSizesize of the output buffer. 

    
sourcestring to copy. 

  

  




Returns:
length of the source string.


The function copies the string source to the buffer destination of size destinationSize.


See also:
Detecting overflow. 











      

        

          vl_size vl_string_copy_sub 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          beginning, 
        

        

          
          
          char const * 
          end 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationoutput buffer. 

    
destinationSizesize of output buffer. 

    
beginningstart of the substring. 

    
endend of the substring. 

  

  




Returns:
length of the destination string.


The function copies the substring from at beginning to end (not included) to the buffer destination of size destinationSize. If, however, the null character is found before end, the substring terminates there.


See also:
Detecting overflow. 











      

        

          char* vl_string_find_char_rev 
          (
          char const * 
          beginning, 
        

        

          
          
          char const * 
          end, 
        

        

          
          
          char 
          c 
        

        

          
          )
          
        

      




Parameters:

  

    
beginningpointer to the substring beginning. 

    
endpointer to the substring end. 

    
ccharacter to search for. 

  

  




Returns:
pointer to last occurrence of c, or 0 if none.


The function searches for the last occurrence of the character c in the substring from beg to end (the latter not being included). 











      

        

          vl_size vl_string_length 
          (
          char const * 
          string)
          
        

      




Parameters:

  

    
stringstring. 

  

  




Returns:
string length. 











      

        

          char* vl_string_parse_protocol 
          (
          char const * 
          string, 
        

        

          
          
          int * 
          protocol 
        

        

          
          )
          
        

      




Parameters:

  

    
stringstring. 

    
protocolprotocol code (output). 

  

  




Returns:
pointer to the first character after the protocol prefix.


The function extracts the prefix of the string string terminated by the first occurrence of the :// substring (if any). It then matches the suffix terminated by :// to the supported File protocols protocols. If protocol is not NULL, the corresponding protocol code is written to protocol 


The function writes to protocol the value VL_PROT_NONE if no suffix is detected and VL_PROT_UNKNOWN if there is a suffix but it cannot be matched to any of the supported protocols. 











      

        

          char const* vl_string_protocol_name 
          (
          int 
          protocol)
          
        

      




Parameters:

  

    
protocolprotocol code. 

  

  




Returns:
pointer protocol name string.


The function returns a pointer to a string containing the name of the protocol protocol (see the vl-file-protocols protocols list). If the protocol is unknown the function returns the empty string. 











      

        

          vl_size vl_string_replace_wildcard 
          (
          char * 
          destination, 
        

        

          
          
          vl_size 
          destinationSize, 
        

        

          
          
          char const * 
          source, 
        

        

          
          
          char 
          wildcardChar, 
        

        

          
          
          char 
          escapeChar, 
        

        

          
          
          char const * 
          replacement 
        

        

          
          )
          
        

      




Parameters:

  

    
destinationoutput buffer. 

    
destinationSizesize of the output buffer. 

    
sourceinput string. 

    
wildcardCharwildcard character. 

    
escapeCharescape character. 

    
replacementreplacement string.

  

  




The function replaces the occurrence of the specified wildcard character wildcardChar by the string replacement. The result is written to the buffer destination of size destinationSize.


Wildcard characters may be escaped by preceding them by the esc character. More in general, anything following an occurrence of esc character is copied verbatim. To disable the escape characters simply set esc to 0.


Returns:
length of the result. 


See also:
Detecting overflow. 








     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlAIB.html000066400000000000000000000326241203326130700174420ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlAIB Struct Reference
  







AIB algorithm data.  
 More...



#include <aib.h>





Data Fields


vl_uint * nodes


vl_uint nentries


double * beta


vl_uint * bidx


vl_uint * which


vl_uint nwhich


double * Pcx


double * Px


double * Pc


vl_uint nvalues


vl_uint nlabels


vl_uint * parents


double * costs




Detailed Description


The implementation is quite straightforward, but the way feature values are handled in order to support efficient joins, deletions and re-arrangement needs to be explained. This is achieved by adding a layer of indirection:


    

  • Call each feature value (either original or obtained by a join operation) a node. Nodes are identified by numbers.
    • 

  • Call each element of the various arrays (such as VlAIB::Px) an entry.
    • 

  • Entries are dynamically associated to nodes as specified by VlAIB::nodes. For example, Px[i] refers to the node nodes[i]. 
    • 



Field Documentation






      

        

          double* VlAIB::beta
        

      




Minimum distance to an entry 











      

        

          vl_uint* VlAIB::bidx
        

      




Closest entry 











      

        

          double* VlAIB::costs
        

      




Cost of each merge 











      

        

          vl_uint VlAIB::nentries
        

      




Total number of entries (= # active nodes) 











      

        

          vl_uint VlAIB::nlabels
        

      




Number of labels 











      

        

          vl_uint* VlAIB::nodes
        

      




Entires to nodes 











      

        

          vl_uint VlAIB::nvalues
        

      




Number of feature values 











      

        

          vl_uint VlAIB::nwhich
        

      




Number of entries to update 











      

        

          vl_uint* VlAIB::parents
        

      




Array of parents 











      

        

          double* VlAIB::Pc
        

      




Marginal. 











      

        

          double* VlAIB::Pcx
        

      




Joint probability table 











      

        

          double* VlAIB::Px
        

      




Marginal. 











      

        

          vl_uint* VlAIB::which
        

      




List of entries to update 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlArray.html000066400000000000000000000077631203326130700201330ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlArray Struct Reference
  







Numeric array.  




#include <array.h>


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlCovDetFeature.html000066400000000000000000000163731203326130700215520ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlCovDetFeature Struct Reference
  







A detected feature.  




#include <covdet.h>





Data Fields


VlFrameOrientedEllipse frame


float peakScore


float edgeScore


float orientationScore


float laplacianScaleScore




Field Documentation






      

        

          float VlCovDetFeature::edgeScore
        

      




edge score. 











      

        

          VlFrameOrientedEllipse VlCovDetFeature::frame
        

      




feature frame. 











      

        

          float VlCovDetFeature::laplacianScaleScore
        

      




Laplacian scale score. 











      

        

          float VlCovDetFeature::orientationScore
        

      




orientation score. 











      

        

          float VlCovDetFeature::peakScore
        

      




peak score. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlDsiftDescriptorGeometry.html000066400000000000000000000162761203326130700237000ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlDsiftDescriptorGeometry Struct Reference
  







Dense SIFT descriptor geometry.  




#include <dsift.h>





Data Fields


int numBinT


int numBinX


int numBinY


int binSizeX


int binSizeY




Field Documentation






      

        

          int VlDsiftDescriptorGeometry::binSizeX
        

      




size of bins along X 











      

        

          int VlDsiftDescriptorGeometry::binSizeY
        

      




size of bins along Y 











      

        

          int VlDsiftDescriptorGeometry::numBinT
        

      




number of orientation bins 











      

        

          int VlDsiftDescriptorGeometry::numBinX
        

      




number of bins along X 











      

        

          int VlDsiftDescriptorGeometry::numBinY
        

      




number of bins along Y 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlDsiftFilter.html000066400000000000000000000414461203326130700212700ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlDsiftFilter Struct Reference
  







Dense SIFT filter.  




#include <dsift.h>





Data Fields


int imWidth


 image width  


int imHeight


 image height  


int stepX


int stepY


int boundMinX


int boundMinY


int boundMaxX


int boundMaxY


VlDsiftDescriptorGeometry geom


int useFlatWindow


double windowSize


int numFrames


int descrSize


VlDsiftKeypoint * frames


float * descrs


int numBinAlloc


int numFrameAlloc


int numGradAlloc


float ** grads


float * convTmp1


float * convTmp2




Field Documentation






      

        

          int VlDsiftFilter::boundMaxX
        

      




frame bounding box max X 











      

        

          int VlDsiftFilter::boundMaxY
        

      




frame bounding box max Y 











      

        

          int VlDsiftFilter::boundMinX
        

      




frame bounding box min X 











      

        

          int VlDsiftFilter::boundMinY
        

      




frame bounding box min Y 











      

        

          float* VlDsiftFilter::convTmp1
        

      




temporary buffer 











      

        

          float* VlDsiftFilter::convTmp2
        

      




temporary buffer 











      

        

          float* VlDsiftFilter::descrs
        

      




descriptor buffer 











      

        

          int VlDsiftFilter::descrSize
        

      




size of a descriptor 











      

        

          VlDsiftKeypoint* VlDsiftFilter::frames
        

      




frame buffer 











      

        

          VlDsiftDescriptorGeometry VlDsiftFilter::geom
        

      




descriptor parameters 











      

        

          float** VlDsiftFilter::grads
        

      




gradient buffer 











      

        

          int VlDsiftFilter::imHeight
        

      













      

        

          int VlDsiftFilter::imWidth
        

      













      

        

          int VlDsiftFilter::numBinAlloc
        

      




buffer allocated: descriptor size 











      

        

          int VlDsiftFilter::numFrameAlloc
        

      




buffer allocated: number of frames 











      

        

          int VlDsiftFilter::numFrames
        

      




number of sampled frames 











      

        

          int VlDsiftFilter::numGradAlloc
        

      




buffer allocated: number of orientations 











      

        

          int VlDsiftFilter::stepX
        

      




frame sampling step X 











      

        

          int VlDsiftFilter::stepY
        

      




frame sampling step Y 











      

        

          int VlDsiftFilter::useFlatWindow
        

      




flag: whether to approximate the Gaussian window with a flat one 











      

        

          double VlDsiftFilter::windowSize
        

      




size of the Gaussian window 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlDsiftKeypoint.html000066400000000000000000000147041203326130700216420ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlDsiftKeypoint Struct Reference
  







Dense SIFT keypoint.  




#include <dsift.h>





Data Fields


double x


double y


double s


double norm




Field Documentation






      

        

          double VlDsiftKeypoint::norm
        

      




SIFT descriptor norm 











      

        

          double VlDsiftKeypoint::s
        

      




scale 











      

        

          double VlDsiftKeypoint::x
        

      




x coordinate 











      

        

          double VlDsiftKeypoint::y
        

      




y coordinate 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlEnumerator.html000066400000000000000000000130321203326130700211600ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlEnumerator Struct Reference
  







Member of an enumeration.  




#include <stringop.h>





Data Fields


char const * name


vl_index value




Field Documentation






      

        

          char const* VlEnumerator::name
        

      




enumeration member name. 











      

        

          vl_index VlEnumerator::value
        

      




enumeration member value. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlFrameDisc.html000066400000000000000000000136021203326130700206770ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlFrameDisc Struct Reference
  







Disc feature frame.  




#include <covdet.h>





Data Fields


float x


float y


float sigma




Field Documentation






      

        

          float VlFrameDisc::sigma
        

      




radius or scale 











      

        

          float VlFrameDisc::x
        

      




center x-coordinate 











      

        

          float VlFrameDisc::y
        

      




center y-coordinate 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlFrameEllipse.html000066400000000000000000000135761203326130700214240ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlFrameEllipse Struct Reference
  







Ellipse feature frame.  




#include <covdet.h>





Data Fields


float x


float y


float e11




Field Documentation






      

        

          float VlFrameEllipse::e11
        

      













      

        

          float VlFrameEllipse::x
        

      




center x-coordinate 











      

        

          float VlFrameEllipse::y
        

      




center y-coordinate 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlFrameOrientedDisc.html000066400000000000000000000151031203326130700223670ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlFrameOrientedDisc Struct Reference
  







Oriented disc feature frame An upright frame has angle equal to zero.  




#include <covdet.h>





Data Fields


float x


float y


float sigma


float angle




Field Documentation






      

        

          float VlFrameOrientedDisc::angle
        

      




rotation angle (rad) 











      

        

          float VlFrameOrientedDisc::sigma
        

      




radius or scale 











      

        

          float VlFrameOrientedDisc::x
        

      




center x-coordinate 











      

        

          float VlFrameOrientedDisc::y
        

      




center y-coordinate 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlFrameOrientedEllipse.html000066400000000000000000000140151203326130700231030ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlFrameOrientedEllipse Struct Reference
  







Oriented ellipse feature frame The affine transformation transforms the ellipse shape into a circular region.  




#include <covdet.h>





Data Fields


float x


float y


float a11




Field Documentation






      

        

          float VlFrameOrientedEllipse::a11
        

      













      

        

          float VlFrameOrientedEllipse::x
        

      




center x-coordinate 











      

        

          float VlFrameOrientedEllipse::y
        

      




center y-coordinate 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlHIKMNode.html000066400000000000000000000133571203326130700204070ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlHIKMNode Struct Reference
  







HIKM tree node.  
 More...



#include <hikmeans.h>





Data Fields


VlIKMFilt * filter


struct _VlHIKMNode ** children




Detailed Description


The number of children K is not bigger than the K parameter of the HIKM tree. 


Field Documentation






      

        

          struct _VlHIKMNode** VlHIKMNode::children
        

      




Node children (if any) 











      

        

          VlIKMFilt* VlHIKMNode::filter
        

      




IKM filter for this node 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlHIKMTree.html000066400000000000000000000202411203326130700204070ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlHIKMTree Struct Reference
  







HIKM tree.  




#include <hikmeans.h>





Data Fields


int M


int K


int max_niters


int method


int verb


int depth


VlHIKMNode * root




Field Documentation






      

        

          int VlHIKMTree::depth
        

      




Depth of the tree 











      

        

          int VlHIKMTree::K
        

      




IKM: K 











      

        

          int VlHIKMTree::M
        

      




IKM: data dimensionality 











      

        

          int VlHIKMTree::max_niters
        

      




IKM: maximum # of iterations 











      

        

          int VlHIKMTree::method
        

      




IKM: method 











      

        

          VlHIKMNode* VlHIKMTree::root
        

      




Tree root node 











      

        

          int VlHIKMTree::verb
        

      




Verbosity level 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlHomogeneousKernelMap.html000066400000000000000000000100271203326130700231270ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlHomogeneousKernelMap Struct Reference
  







Homogeneous kernel map.  




#include <homkermap.h>


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlIKMFilt.html000066400000000000000000000206221203326130700203010ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlIKMFilt Struct Reference
  







IKM quantizer.  




#include <ikmeans.h>





Data Fields


int M


int K


int method


int max_niters


int verb


vl_ikm_acc * centers


vl_ikm_acc * inter_dist




Field Documentation






      

        

          vl_ikm_acc* VlIKMFilt::centers
        

      




centers 











      

        

          vl_ikm_acc* VlIKMFilt::inter_dist
        

      




centers inter-distances 











      

        

          int VlIKMFilt::K
        

      




number of centers 











      

        

          int VlIKMFilt::M
        

      




data dimensionality 











      

        

          int VlIKMFilt::max_niters
        

      




Lloyd: maximum number of iterations 











      

        

          int VlIKMFilt::method
        

      




Learning method 











      

        

          int VlIKMFilt::verb
        

      




verbosity level 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlKDForest.html000066400000000000000000000077731203326130700205370ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlKDForest Struct Reference
  







KDForest object.  




#include <kdtree.h>


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlKDForestNeighbor.html000066400000000000000000000131041203326130700221760ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlKDForestNeighbor Struct Reference
  







Neighbor of a query point.  




#include <kdtree.h>





Data Fields


double distance


vl_uindex index




Field Documentation






      

        

          double VlKDForestNeighbor::distance
        

      




distance to the query point 











      

        

          vl_uindex VlKDForestNeighbor::index
        

      




index of the neighbor in the KDTree data 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlKMeans.html000066400000000000000000000265351203326130700202310ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlKMeans Struct Reference
  







K-means quantizer.  




#include <kmeans.h>





Data Fields


vl_type dataType


vl_size dimension


vl_size numCenters


VlKMeansAlgorithm algorithm


VlVectorComparisonType distance


vl_size maxNumIterations


vl_size numRepetitions


int verbosity


void * centers


void * centerDistances


double energy




Field Documentation






      

        

          VlKMeansAlgorithm VlKMeans::algorithm
        

      




< Initalization algorithm Clustring algorithm 











      

        

          void* VlKMeans::centerDistances
        

      




centers inter-distances 











      

        

          void* VlKMeans::centers
        

      




centers 











      

        

          vl_type VlKMeans::dataType
        

      




data type 











      

        

          vl_size VlKMeans::dimension
        

      




data dimensionality 











      

        

          VlVectorComparisonType VlKMeans::distance
        

      




Distance 











      

        

          double VlKMeans::energy
        

      




current solution energy 











      

        

          vl_size VlKMeans::maxNumIterations
        

      




Maximum number of refinement iterations 











      

        

          vl_size VlKMeans::numCenters
        

      




number of centers 











      

        

          vl_size VlKMeans::numRepetitions
        

      




Number of clustering repetitions 











      

        

          int VlKMeans::verbosity
        

      




verbosity level 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlLbp.html000066400000000000000000000077741203326130700175740ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlLbp Struct Reference
  







Local Binary Pattern extractor.  




#include <lbp.h>


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlPgmImage.html000066400000000000000000000171221203326130700205310ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlPgmImage Struct Reference
  







PGM image meta data.  
 More...



#include <pgm.h>





Data Fields


vl_size width


vl_size height


vl_size max_value


vl_bool is_raw




Detailed Description


A PGM image is a 2-D array of pixels of width width and height height. Each pixel is an integer one or two bytes wide, depending whether max_value is smaller than 256. 


Field Documentation






      

        

          vl_size VlPgmImage::height
        

      




image height. 











      

        

          vl_bool VlPgmImage::is_raw
        

      




is RAW format? 











      

        

          vl_size VlPgmImage::max_value
        

      




pixel maximum value (<= 2^16-1). 











      

        

          vl_size VlPgmImage::width
        

      




image width. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlQS.html000066400000000000000000000154431203326130700173720ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlQS Struct Reference
  







quick shift results  
 More...



#include <quickshift.h>





Data Fields


vl_qs_type * image


int height


int width


int channels




Detailed Description


This implements quick shift mode seeking. 


Field Documentation






      

        

          int VlQS::channels
        

      




number of channels in the image 











      

        

          int VlQS::height
        

      




height of the image 











      

        

          vl_qs_type* VlQS::image
        

      




height x width x channels feature image 











      

        

          int VlQS::width
        

      




width of the image 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlRand.html000066400000000000000000000100061203326130700177210ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlRand Struct Reference
  







Random numbber generator state.  




#include <random.h>


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlScaleSpace.html000066400000000000000000000130001203326130700210350ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlScaleSpace Struct Reference
  







Gaussian scale space.  




#include <scalespace.h>





Data Fields


VlScaleSpaceGeometry geom


float ** octaves




Field Documentation






      

        

          VlScaleSpaceGeometry VlScaleSpace::geom
        

      




Geometry of the scale space 











      

        

          float** VlScaleSpace::octaves
        

      




Data 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlScaleSpaceGeometry.html000066400000000000000000000252341203326130700225650ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlScaleSpaceGeometry Struct Reference
  







A set of parameters describing the scale space geometry.  




#include <scalespace.h>





Data Fields


vl_size width


vl_size height


vl_index firstOctave


vl_index lastOctave


vl_size octaveResolution


vl_index octaveFirstSubdivision


vl_index octaveLastSubdivision


double sigma0


double sigman




Field Documentation






      

        

          vl_index VlScaleSpaceGeometry::firstOctave
        

      




Index of the fisrt octave 











      

        

          vl_size VlScaleSpaceGeometry::height
        

      




Image height 











      

        

          vl_index VlScaleSpaceGeometry::lastOctave
        

      




Index of the last octave 











      

        

          vl_index VlScaleSpaceGeometry::octaveFirstSubdivision
        

      




Index of the first octave subdivsion 











      

        

          vl_index VlScaleSpaceGeometry::octaveLastSubdivision
        

      




Index of the last octave subdivision 











      

        

          vl_size VlScaleSpaceGeometry::octaveResolution
        

      




Number of octave subdivisions 











      

        

          double VlScaleSpaceGeometry::sigma0
        

      




Base smoothing (smoothing of octave 0, level 0) 











      

        

          double VlScaleSpaceGeometry::sigman
        

      




Bominal image smoothing 











      

        

          vl_size VlScaleSpaceGeometry::width
        

      




Image width 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlSiftFilt.html000066400000000000000000000543521203326130700205750ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlSiftFilt Struct Reference
  







SIFT filter.  
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#include <sift.h>





Data Fields


double sigman


double sigma0


double sigmak


double dsigma0


int width


int height


int O


int S


int o_min


int s_min


int s_max


int o_cur


vl_sift_pix * temp


vl_sift_pix * octave


vl_sift_pix * dog


int octave_width


int octave_height


vl_sift_pix * gaussFilter


double gaussFilterSigma


vl_size gaussFilterWidth


VlSiftKeypoint * keys


int nkeys


int keys_res


double peak_thresh


double edge_thresh


double norm_thresh


double magnif


double windowSize


vl_sift_pix * grad


int grad_o




Detailed Description


This filter implements the SIFT detector and descriptor. 


Field Documentation






      

        

          vl_sift_pix* VlSiftFilt::dog
        

      




current DoG data. 











      

        

          double VlSiftFilt::dsigma0
        

      




delta-smoothing. 











      

        

          double VlSiftFilt::edge_thresh
        

      




edge threshold. 











      

        

          vl_sift_pix* VlSiftFilt::gaussFilter
        

      




current Gaussian filter 











      

        

          double VlSiftFilt::gaussFilterSigma
        

      




current Gaussian filter std 











      

        

          vl_size VlSiftFilt::gaussFilterWidth
        

      




current Gaussian filter width 











      

        

          vl_sift_pix* VlSiftFilt::grad
        

      




GSS gradient data. 











      

        

          int VlSiftFilt::grad_o
        

      




GSS gradient data octave. 











      

        

          int VlSiftFilt::height
        

      




image height. 











      

        

          VlSiftKeypoint* VlSiftFilt::keys
        

      




detected keypoints. 











      

        

          int VlSiftFilt::keys_res
        

      




size of the keys buffer. 











      

        

          double VlSiftFilt::magnif
        

      




magnification factor. 











      

        

          int VlSiftFilt::nkeys
        

      




number of detected keypoints. 











      

        

          double VlSiftFilt::norm_thresh
        

      




norm threshold. 











      

        

          int VlSiftFilt::O
        

      




number of octaves. 











      

        

          int VlSiftFilt::o_cur
        

      




current octave. 











      

        

          int VlSiftFilt::o_min
        

      




minimum octave index. 











      

        

          vl_sift_pix* VlSiftFilt::octave
        

      




current GSS data. 











      

        

          int VlSiftFilt::octave_height
        

      




current octave height. 











      

        

          int VlSiftFilt::octave_width
        

      




current octave width. 











      

        

          double VlSiftFilt::peak_thresh
        

      




peak threshold. 











      

        

          int VlSiftFilt::S
        

      




number of levels per octave. 











      

        

          int VlSiftFilt::s_max
        

      




maximum level index. 











      

        

          int VlSiftFilt::s_min
        

      




minimum level index. 











      

        

          double VlSiftFilt::sigma0
        

      




smoothing of pyramid base. 











      

        

          double VlSiftFilt::sigmak
        

      




k-smoothing 











      

        

          double VlSiftFilt::sigman
        

      




nominal image smoothing. 











      

        

          vl_sift_pix* VlSiftFilt::temp
        

      




temporary pixel buffer. 











      

        

          int VlSiftFilt::width
        

      




image width. 











      

        

          double VlSiftFilt::windowSize
        

      




size of Gaussian window (in spatial bins) 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlSiftKeypoint.html000066400000000000000000000217331203326130700214760ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlSiftKeypoint Struct Reference
  







SIFT filter keypoint.  
 More...



#include <sift.h>





Data Fields


int o


int ix


int iy


int is


float x


float y


float s


float sigma




Detailed Description


This structure represent a keypoint as extracted by the SIFT filter VlSiftFilt. 


Field Documentation






      

        

          int VlSiftKeypoint::is
        

      




Integer s coordinate. 











      

        

          int VlSiftKeypoint::ix
        

      




Integer unnormalized x coordinate. 











      

        

          int VlSiftKeypoint::iy
        

      




Integer unnormalized y coordinate. 











      

        

          int VlSiftKeypoint::o
        

      




o coordinate (octave). 











      

        

          float VlSiftKeypoint::s
        

      




s coordinate. 











      

        

          float VlSiftKeypoint::sigma
        

      




scale. 











      

        

          float VlSiftKeypoint::x
        

      




x coordinate. 











      

        

          float VlSiftKeypoint::y
        

      




y coordinate. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlState.html000066400000000000000000000102231203326130700201160ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlState Struct Reference
  







VLFeat global state.  
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#include <generic.h>


Detailed Description


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlSvmDataset.html000066400000000000000000000177751203326130700211340ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlSvmDataset Struct Reference
  







Svm Dataset.  
 More...



#include <svmdataset.h>





Data Fields


void * data


vl_size dimension


void * map


VlSvmDatasetFeatureMap mapFunc


vl_size order




Detailed Description


This structure is a wrapper for a generic SVM dataset. It should be provided with a set of functions of type VlSvmDatasetInnerProduct and VlSvmDatasetAccumulator 


Field Documentation






      

        

          void* VlSvmDataset::data
        

      




pointer to data 











      

        

          vl_size VlSvmDataset::dimension
        

      




data point dimension 











      

        

          void* VlSvmDataset::map
        

      




feature Map 











      

        

          VlSvmDatasetFeatureMap VlSvmDataset::mapFunc
        

      




function that defines the feature map 











      

        

          vl_size VlSvmDataset::order
        

      




order of expansion of the feture map 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlSvmObjective.html000066400000000000000000000177371203326130700214570ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlSvmObjective Struct Reference
  







Binary Svm Objective Function.  
 More...



#include <pegasos.h>





Data Fields


double energy


double regularizer


double lossPos


double lossNeg


double hardLossPos


double hardLossNeg




Detailed Description


This structure keeps some statistics on a specific classifier learned via Pegasos Svm Solver. 


Field Documentation






      

        

          double VlSvmObjective::energy
        

      




full energy value. 











      

        

          double VlSvmObjective::hardLossNeg
        

      




number of false negatives. 











      

        

          double VlSvmObjective::hardLossPos
        

      




number of false positives. 











      

        

          double VlSvmObjective::lossNeg
        

      




energy term due to false negatives. 











      

        

          double VlSvmObjective::lossPos
        

      




energy term due to false positives. 











      

        

          double VlSvmObjective::regularizer
        

      




regularization term. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlSvmPegasos.html000066400000000000000000000367341203326130700211440ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlSvmPegasos Struct Reference
  







Pegasos Svm Solver.  
 More...



#include <pegasos.h>





Data Fields


double * model


double bias


vl_size dimension


vl_size iterations


vl_size maxIterations


double epsilon


double lambda


double biasMultiplier


double elapsedTime


vl_size energyFrequency


double biasLearningRate


VlSvmObjective * objective


VlRand * randomGenerator


vl_uint32 * permutation


vl_size permutationSize


VlSvmDiagnostics diagnostic


void * diagnosticCallerRef




Detailed Description


This structure represents the status of an svm solver. 


Field Documentation






      

        

          double VlSvmPegasos::bias
        

      




bias element. 











      

        

          double VlSvmPegasos::biasLearningRate
        

      




frequency of bias learning. 











      

        

          double VlSvmPegasos::biasMultiplier
        

      




bias strength multiplier. 











      

        

          VlSvmDiagnostics VlSvmPegasos::diagnostic
        

      




diagnostic function. 











      

        

          void* VlSvmPegasos::diagnosticCallerRef
        

      




reference to caller. 











      

        

          vl_size VlSvmPegasos::dimension
        

      




model length. 











      

        

          double VlSvmPegasos::elapsedTime
        

      




elapsed time from algorithm start. 











      

        

          vl_size VlSvmPegasos::energyFrequency
        

      




frequency of computation of svm energy 











      

        

          double VlSvmPegasos::epsilon
        

      




stopping criterion threshold 











      

        

          vl_size VlSvmPegasos::iterations
        

      




number of iterations. 











      

        

          double VlSvmPegasos::lambda
        

      




Pegasos parameter. 











      

        

          vl_size VlSvmPegasos::maxIterations
        

      




maximum number of iterations. 











      

        

          double* VlSvmPegasos::model
        

      




svm model. 











      

        

          VlSvmObjective* VlSvmPegasos::objective
        

      




value and statistics of the objective function. 











      

        

          vl_uint32* VlSvmPegasos::permutation
        

      




data permutation. 











      

        

          vl_size VlSvmPegasos::permutationSize
        

      




permutation size. 











      

        

          VlRand* VlSvmPegasos::randomGenerator
        

      




random generator. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/structVlThreadSpecificState.html000066400000000000000000000102571203326130700227230ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlThreadSpecificState Struct Reference
  







VLFeat thread state.  
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#include <generic.h>


Detailed Description


The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/struct__VlCovDet.html000066400000000000000000000214751203326130700205330ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlCovDet Struct Reference
  







Covariant feature detector.  






Data Fields


VlScaleSpace * gss


VlScaleSpace * css


VlCovDetMethod method


double peakThreshold


double edgeThreshold


vl_size octaveResolution


vl_index firstOctave




Field Documentation






      

        

          VlScaleSpace* VlCovDet::css
        

      




Cornerness scale space. 











      

        

          double VlCovDet::edgeThreshold
        

      




edge threshold. 











      

        

          vl_index VlCovDet::firstOctave
        

      




index of the first octave. 











      

        

          VlScaleSpace* VlCovDet::gss
        

      




Gaussian scale space. 











      

        

          VlCovDetMethod VlCovDet::method
        

      




feature extraction method. 











      

        

          vl_size VlCovDet::octaveResolution
        

      




resolution of each octave. 











      

        

          double VlCovDet::peakThreshold
        

      




peak threshold. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/struct__VlFileMeta.html000066400000000000000000000173131203326130700210310ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlFileMeta Struct Reference
  







Support for command line drivers - Definition.  
 More...



#include <generic-driver.h>





Data Fields


vl_bool active


char pattern [1024]


int protocol


char name [1024]


FILE * file




Detailed Description


File meta information type.


Author:
Andrea Vedaldi 


This file contains support code which is shared by the command line drivers. File meta information


See also:
_VlFileMeta 


Field Documentation






      

        

          vl_bool VlFileMeta::active
        

      




Is the file active? 











      

        

          FILE* VlFileMeta::file
        

      




Current file stream 











      

        

          char VlFileMeta::name[1024]
        

      




Current file name 











      

        

          char VlFileMeta::pattern[1024]
        

      




File name pattern 











      

        

          int VlFileMeta::protocol
        

      




File protocol 







The documentation for this struct was generated from the following file:
    

  • generic-driver.h
    • 




     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/struct__VlMserExtrReg.html000066400000000000000000000235711203326130700215550ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlMserExtrReg Struct Reference
  







MSER: extremal region (declaration)  
 More...



#include <mser.h>





Data Fields


int parent


int index


vl_mser_pix value


vl_uint shortcut


vl_uint area


float variation


vl_uint max_stable




Detailed Description


MSER: extremal region.


Extremal regions (ER) are extracted from the region forest. Each region is represented by an instance of this structure. The structures are stored into an array, in arbitrary order.


ER are arranged into a tree. parent points to the parent ER, or to itself if the ER is the root.


An instance of the structure represents the extremal region of the level set of intensity VlMserExtrReg::value and containing the pixel VlMserExtReg::index.


VlMserExtrReg::area is the area of the extremal region and VlMserExtrReg::area_top is the area of the extremal region containing this region in the level set of intensity VlMserExtrReg::area + delta.


VlMserExtrReg::variation is the relative area variation (area_top-area)/area.


VlMserExtrReg::max_stable is a flag signaling whether this extremal region is also maximally stable.


Field Documentation






      

        

          vl_uint VlMserExtrReg::area
        

      




area of the region 











      

        

          int VlMserExtrReg::index
        

      




index of pivot pixel 











      

        

          vl_uint VlMserExtrReg::max_stable
        

      




max stable number (=0 if not maxstable) 











      

        

          int VlMserExtrReg::parent
        

      




index of the parent region 











      

        

          vl_uint VlMserExtrReg::shortcut
        

      




shortcut used when building a tree 











      

        

          vl_mser_pix VlMserExtrReg::value
        

      




value of pivot pixel 











      

        

          float VlMserExtrReg::variation
        

      




rel. area variation 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/struct__VlMserFilt.html000066400000000000000000000517411203326130700210730ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlMserFilt Struct Reference
  







MSER filter.  
 More...



#include <mser.h>





Data Fields


vl_uint * perm


vl_uint * joins


int njoins


Image data and meta data @internal




int ndims


int * dims


int nel


int * subs


int * dsubs


int * strides


Regions




VlMserReg * r


VlMserExtrReg * er


vl_uint * mer


int ner


int nmer


int rer


int rmer


Ellipsoids fitting




float * acc


float * ell


int rell


int nell


int dof


Configuration




vl_bool verbose


int delta


double max_area


double min_area


double max_variation


double min_diversity




Detailed Description


MSER Filter.


See also:
Maximally Stable Extremal Regions


The MSER filter computes the Maximally Stable Extremal Regions of an image.


This structure is opaque.


See also:
Maximally Stable Extremal Regions 


Field Documentation






      

        

          float* VlMserFilt::acc
        

      




moment accumulator. 











      

        

          int VlMserFilt::delta
        

      




delta filter parameter 











      

        

          int* VlMserFilt::dims
        

      




dimensions 











      

        

          int VlMserFilt::dof
        

      




number of dof of ellipsoids. 











      

        

          int* VlMserFilt::dsubs
        

      




another subscript 











      

        

          float* VlMserFilt::ell
        

      




ellipsoids list. 











      

        

          VlMserExtrReg* VlMserFilt::er
        

      




extremal tree 











      

        

          vl_uint* VlMserFilt::joins
        

      




sequence of join ops 











      

        

          double VlMserFilt::max_area
        

      




badness test parameter 











      

        

          double VlMserFilt::max_variation
        

      




badness test parameter 











      

        

          vl_uint* VlMserFilt::mer
        

      




maximally stable extremal regions 











      

        

          double VlMserFilt::min_area
        

      




badness test parameter 











      

        

          double VlMserFilt::min_diversity
        

      




minimum diversity 











      

        

          int VlMserFilt::ndims
        

      




number of dimensions 











      

        

          int VlMserFilt::nel
        

      




number of image elements (pixels) 











      

        

          int VlMserFilt::nell
        

      




number of ellipsoids extracted 











      

        

          int VlMserFilt::ner
        

      




number of extremal regions 











      

        

          int VlMserFilt::njoins
        

      




number of join ops 











      

        

          int VlMserFilt::nmer
        

      




number of maximally stable extr. reg. 











      

        

          vl_uint* VlMserFilt::perm
        

      




pixel ordering 











      

        

          VlMserReg* VlMserFilt::r
        

      




basic regions 











      

        

          int VlMserFilt::rell
        

      




size of ell buffer 











      

        

          int VlMserFilt::rer
        

      




size of er buffer 











      

        

          int VlMserFilt::rmer
        

      




size of mer buffer 











      

        

          int* VlMserFilt::strides
        

      




strides to move in image data 











      

        

          int* VlMserFilt::subs
        

      




N-dimensional subscript 











      

        

          vl_bool VlMserFilt::verbose
        

      




be verbose 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/struct__VlMserReg.html000066400000000000000000000201601203326130700207010ustar00rootroot00000000000000

 
  
  
  
  
  
  
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VlMserReg Struct Reference
  







MSER: basic region (declaration)  
 More...



#include <mser.h>





Data Fields


vl_uint parent


vl_uint shortcut


vl_uint height


vl_uint area




Detailed Description


MSER: basic region.


Extremal regions and maximally stable extremal regions are instances of image regions.


There is an image region for each pixel of the image. Each region is represented by an instance of this structure. Regions are stored into an array in pixel order.


Regions are arranged into a forest. VlMserReg::parent points to the parent node, or to the node itself if the node is a root. VlMserReg::parent is the index of the node in the node array (which therefore is also the index of the corresponding pixel). VlMserReg::height is the distance of the fartest leaf. If the node itself is a leaf, then VlMserReg::height is zero.


VlMserReg::area is the area of the image region corresponding to this node.


VlMserReg::region is the extremal region identifier. Not all regions are extremal regions however; if the region is NOT extremal, this field is set to ....


Field Documentation






      

        

          vl_uint VlMserReg::area
        

      




area of the region. 











      

        

          vl_uint VlMserReg::height
        

      




region height in the forest. 











      

        

          vl_uint VlMserReg::parent
        

      




points to the parent region. 











      

        

          vl_uint VlMserReg::shortcut
        

      




points to a region closer to a root. 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

vlfeat-0.9.16/doc/api/struct__VlMserStats.html000066400000000000000000000177621203326130700213000ustar00rootroot00000000000000

 
  
  
  
  
  
  
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Data Fields  

  


VlMserStats Struct Reference
  







MSER filter statistics definition.  
 More...



#include <mser.h>





Data Fields


int num_extremal


int num_unstable


int num_abs_unstable


int num_too_big


int num_too_small


int num_duplicates




Detailed Description


MSER filter statistics. 


Field Documentation






      

        

          int VlMserStats::num_abs_unstable
        

      




number of regions that failed the absolute stability test 











      

        

          int VlMserStats::num_duplicates
        

      




number of regions that failed the duplicate test 











      

        

          int VlMserStats::num_extremal
        

      




number of extremal regions 











      

        

          int VlMserStats::num_too_big
        

      




number of regions that failed the maximum size test 











      

        

          int VlMserStats::num_too_small
        

      




number of regions that failed the minimum size test 











      

        

          int VlMserStats::num_unstable
        

      




number of unstable extremal regions 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

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Data Fields  

  


vlmxOption Struct Reference
  







MEX option.  
 More...



#include <mexutils.h>





Data Fields


const char * name


int has_arg


int val




Detailed Description


MEX option type. 


Field Documentation






      

        

          int vlmxOption::has_arg
        

      




has argument? 











      

        

          const char* vlmxOption::name
        

      




option name 











      

        

          int vlmxOption::val
        

      




value to return 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

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Data Fields  

  


option Struct Reference
  







getopt_long option  




#include <getopt_long.h>





Data Fields


const char * name


int has_arg


int * flag


int val




Field Documentation






      

        

          int* option::flag
        

      




pointer to a variable to set (if NULL, the value is returned instead) 











      

        

          int option::has_arg
        

      




flag indicating whether the option has no, required or optional argument 











      

        

          const char* option::name
        

      




option long name 











      

        

          int option::val
        

      




value to set or to return 







The documentation for this struct was generated from the following file:


     
    

   

   
 

  
 
   
 
 

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Functions  

  


svmdataset.c File Reference
  







Svm Dataset - Definition.  
More...


#include "svmdataset.h"

#include <string.h>

#include <math.h>

#include "svmdataset.c"

#include "float.th"





Functions


VlSvmDataset * vl_svmdataset_new (void *data, vl_size dimension)


 Create a new SVM dataset structure.  


void vl_svmdataset_set_map (VlSvmDataset *data, void *map, VlSvmDatasetFeatureMap mapFunc, vl_size order)


 Set feature map.  


void vl_svmdataset_delete (VlSvmDataset *dataset)


 Delete a SVM dataset structure.  




Detailed Description


Author:
Daniele Perrone 


Function Documentation






      

        

          void vl_svmdataset_delete 
          (
          VlSvmDataset * 
          dataset)
          
        

      




Parameters:

  

    
datasetSVM dataset to delete.

  

  




The function frees the resources allocated by vl_svmdataset_new(). Notice that only the structure will be freed and not the raw data referred by the pointer . 











      

        

          VlSvmDataset* vl_svmdataset_new 
          (
          void * 
          data, 
        

        

          
          
          vl_size 
          dimension 
        

        

          
          )
          
        

      




Parameters:

  

    
datapointer to data. 

    
dimensiondata point dimension. 

  

  




Returns:
the new SVM dataset structure.


The function allocates and returns a new SVM dataset structure.


The data pointed by  is not replicated, so the caller should keep the data allocated for the full usage of the structure.


See also:
vl_svmdataset_delete(). 











      

        

          void vl_svmdataset_set_map 
          (
          VlSvmDataset * 
          data, 
        

        

          
          
          void * 
          map, 
        

        

          
          
          VlSvmDatasetFeatureMap 
          mapFunc, 
        

        

          
          
          vl_size 
          order 
        

        

          
          )
          
        

      




Parameters:

  

    
dataSVM dataset Structure 

    
mappointer to Feature Map Object 

    
mapFuncfunction that perform the feature map 

    
orderorder of the map

  

  




The function sets a feature map to the SVM dataset . The dimension of the extended data points is /f$2*order + 1/f$. 








     
    

   

   
 

  
 
   
 
 

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Data Structures |
Typedefs |
Functions  

  


svmdataset.h File Reference
  







SVM Dataset.  
More...


#include "generic.h"





Data Structures


struct  VlSvmDataset


 Svm Dataset.  More...





Typedefs



typedef void(* VlSvmDatasetFeatureMap )(const void *map, double *destination, const vl_size stride, const double x)


 Pointer to a function that maps the value in  to  using the feature map . 



typedef double(* VlSvmDatasetInnerProduct )(const void *data, const vl_uindex element, const double *model)


 Pointer to a function that defines the inner product between the data point at position  and the SVM model. 



typedef void(* VlSvmDatasetAccumulator )(const void *data, const vl_uindex element, double *model, const double multiplier)


 Pointer to a function that adds to  the data point at position  multiplied by the constant . 





Functions


vl_size vl_svmdataset_get_map_order (VlSvmDataset const *self)


 Get Feature Map Order.  


Create and destroy


VlSvmDataset * vl_svmdataset_new (void *data, vl_size dimension)


 Create a new SVM dataset structure.  


void vl_svmdataset_delete (VlSvmDataset *dataset)


 Delete a SVM dataset structure.  


Set map


void vl_svmdataset_set_map (VlSvmDataset *data, void *map, VlSvmDatasetFeatureMap mapFunc, vl_size order)


 Set feature map.  


Standard dataset functions



double vl_svmdataset_innerproduct_d (const void *data, const vl_uindex element, const double *model)



void vl_svmdataset_accumulator_d (const void *data, const vl_uindex element, double *model, const double multiplier)



double vl_svmdataset_innerproduct_f (const void *data, const vl_uindex element, const double *model)



void vl_svmdataset_accumulator_f (const void *data, const vl_uindex element, double *model, const double multiplier)


Retrieve data and parameters


void * vl_svmdataset_get_data (VlSvmDataset const *self)


 Get Data.  


vl_size vl_svmdataset_get_dimension (VlSvmDataset const *self)


 Get Data Dimension.  


void * vl_svmdataset_get_map (VlSvmDataset const *self)


 Get Feature Map Object.  


VlSvmDatasetFeatureMap vl_svmdataset_get_map_func (VlSvmDataset const *self)


 Get Feature Map Function.  



vl_size vl_svmdataset_get_order (VlSvmDataset const *self)




Detailed Description


Any SVM solver requires a set of training data in order to learn a correspondent classifier.


Regardless the kind of SVM solver, the training data is used and accessed in a similar manner.


In svmdataset.h we define an abstraction that separates the particular SVM algorithm from the representation of the data. Such abstraction is defined via two type of functions:



The above type of functions define the two typical operations performed by SVM solvers on the training data. Any particular application can define its own data representation and implement the above functions.


For double and float arrays we provide the implementation of the aforementioned functions.


We define also an utility struct VlSvmDataset that implements the online expansions of data points. This allows the use of techniques such homogeneous kernel maps [17] inside the SVM solver.


Author:
Daniele Perrone 


Function Documentation






      

        

          void vl_svmdataset_delete 
          (
          VlSvmDataset * 
          dataset)
          
        

      




Parameters:

  

    
datasetSVM dataset to delete.

  

  




The function frees the resources allocated by vl_svmdataset_new(). Notice that only the structure will be freed and not the raw data referred by the pointer . 













  

  
      

        

          void * vl_svmdataset_get_data 
          (
          VlSvmDataset const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfSvm Dataset. 

  

  




Returns:
data pointer. 













  

  
      

        

          vl_size vl_svmdataset_get_dimension 
          (
          VlSvmDataset const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfSvm Dataset. 

  

  




Returns:
data dimension. 













  

  
      

        

          void * vl_svmdataset_get_map 
          (
          VlSvmDataset const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfSvm Dataset. 

  

  




Returns:
feature map. 













  

  
      

        

          VlSvmDatasetFeatureMap vl_svmdataset_get_map_func 
          (
          VlSvmDataset const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfSvm Dataset. 

  

  




Returns:
feature map function. 













  

  
      

        

          vl_size vl_svmdataset_get_map_order 
          (
          VlSvmDataset const * 
          self)
          
        

      

  		
  
inline  
  






Parameters:

  

    
selfSvm Dataset. 

  

  




Returns:
feature map order. 











      

        

          VlSvmDataset* vl_svmdataset_new 
          (
          void * 
          data, 
        

        

          
          
          vl_size 
          dimension 
        

        

          
          )
          
        

      




Parameters:

  

    
datapointer to data. 

    
dimensiondata point dimension. 

  

  




Returns:
the new SVM dataset structure.


The function allocates and returns a new SVM dataset structure.


The data pointed by  is not replicated, so the caller should keep the data allocated for the full usage of the structure.


See also:
vl_svmdataset_delete(). 











      

        

          void vl_svmdataset_set_map 
          (
          VlSvmDataset * 
          data, 
        

        

          
          
          void * 
          map, 
        

        

          
          
          VlSvmDatasetFeatureMap 
          mapFunc, 
        

        

          
          
          vl_size 
          order 
        

        

          
          )
          
        

      




Parameters:

  

    
dataSVM dataset Structure 

    
mappointer to Feature Map Object 

    
mapFuncfunction that perform the feature map 

    
orderorder of the map

  

  




The function sets a feature map to the SVM dataset . The dimension of the extended data points is /f$2*order + 1/f$. 








     
    

   

   
 

  
 
   
 
 

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  VLFeat - Applications
  

  
  

  
  

  
  
 

 
 
  
  

   Applications
  

  

    
   

    
     


This page lists a number of sample VLFeat applications. Their code
  can be found in the VLROOT/apps/ subdirectory.



Caltech-101 classification


Caltech-101 Collage


This sample application uses VLFeat to train an test an image
classifier on the Caltech-101 data. The classifier achieves 65%
average accuracy by using a single feature and 15 training images per
class. It uses:


    

  • PHOW features (dense multi-scale SIFT descriptors)
    • 

  • Elkan k-means for fast visual word dictionary
construction
    • 

  • Spatial histograms as image descriptors
    • 

  • A homogeneous kernel map to transform a Chi2 support vector
machine (SVM) into a linear one
    • 

  • An internal SVM (based on PEGASOS) for classification
    • 




The program is fully contained in
a single MATLAB M-file,
and can also be simply adapted to use your own data (change
conf.calDir).



SIFT mosaic


SIFT mosaic


This sample application uses VLFeat to extract SIFT features form a
pair of images and match them. It then filters the matches based on
RANSAC and produces a mosaic. Read
the code.



     
     
   
   

   
 

  
 
   
 
 


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   Applications - phow_caltech101.m
  

  

    
   

    
       
function phow_caltech101
% PHOW_CALTECH101 Image classification in the Caltech-101 dataset
%   This program demonstrates how to use VLFeat to construct an image
%   classifier on the Caltech-101 data. The classifier uses PHOW
%   features (dense SIFT), spatial histograms of visual words, and a
%   Chi2 SVM. To speedup computation it uses VLFeat fast dense SIFT,
%   kd-trees, and homogeneous kernel map. The program also
%   demonstrates VLFeat PEGASOS SVM solver, although for this small
%   dataset other solvers such as LIBLINEAR can be more efficient.
%
%   By default 15 training images are used, which should result in
%   about 64% performance (a good performance considering that only a
%   single feature type is being used).
%
%   Call PHOW_CALTECH101 to train and test a classifier on a small
%   subset of the Caltech-101 data. Note that the program
%   automatically downloads a copy of the Caltech-101 data from the
%   Internet if it cannot find a local copy.
%
%   Edit the PHOW_CALTECH101 file to change the program configuration.
%
%   To run on the entire dataset change CONF.TINYPROBLEM to FALSE.
%
%   The Caltech-101 data is saved into CONF.CALDIR, which defaults to
%   'data/caltech-101'. Change this path to the desired location, for
%   instance to point to an existing copy of the Caltech-101 data.
%
%   The program can also be used to train a model on custom data by
%   pointing CONF.CALDIR to it. Just create a subdirectory for each
%   class and put the training images there. Make sure to adjust
%   CONF.NUMTRAIN accordingly.
%
%   Intermediate files are stored in the directory CONF.DATADIR. All
%   such files begin with the prefix CONF.PREFIX, which can be changed
%   to test different parameter settings without overriding previous
%   results.
%
%   The program saves the trained model in
%   <CONF.DATADIR>/<CONF.PREFIX>-model.mat. This model can be used to
%   test novel images independently of the Caltech data.
%
%     load('data/baseline-model.mat') ; # change to the model path
%     label = model.classify(model, im) ;
%

% AUTORIGHTS

conf.calDir = 'data/caltech-101' ;
conf.dataDir = 'data/' ;
conf.autoDownloadData = true ;
conf.numTrain = 15 ;
conf.numTest = 15 ;
conf.numClasses = 102 ;
conf.numWords = 600 ;
conf.numSpatialX = [2 4] ;
conf.numSpatialY = [2 4] ;
conf.quantizer = 'kdtree' ;
conf.svm.C = 10 ;
conf.svm.solver = 'pegasos' ;
conf.svm.biasMultiplier = 1 ;
conf.phowOpts = {'Step', 3} ;
conf.clobber = false ;
conf.tinyProblem = true ;
conf.prefix = 'baseline' ;
conf.randSeed = 1 ;

if conf.tinyProblem
  conf.prefix = 'tiny' ;
  conf.numClasses = 5 ;
  conf.numSpatialX = 2 ;
  conf.numSpatialY = 2 ;
  conf.numWords = 300 ;
  conf.phowOpts = {'Verbose', 2, 'Sizes', 7, 'Step', 5} ;
end

conf.vocabPath = fullfile(conf.dataDir, [conf.prefix '-vocab.mat']) ;
conf.histPath = fullfile(conf.dataDir, [conf.prefix '-hists.mat']) ;
conf.modelPath = fullfile(conf.dataDir, [conf.prefix '-model.mat']) ;
conf.resultPath = fullfile(conf.dataDir, [conf.prefix '-result']) ;

randn('state',conf.randSeed) ;
rand('state',conf.randSeed) ;
vl_twister('state',conf.randSeed) ;

% --------------------------------------------------------------------
%                                            Download Caltech-101 data
% --------------------------------------------------------------------

if ~exist(conf.calDir, 'dir') || ...
   (~exist(fullfile(conf.calDir, 'airplanes'),'dir') && ...
    ~exist(fullfile(conf.calDir, '101_ObjectCategories', 'airplanes')))
  if ~conf.autoDownloadData
    error(...
      ['Caltech-101 data not found. ' ...
       'Set conf.autoDownloadData=true to download the required data.']) ;
  end
  vl_xmkdir(conf.calDir) ;
  calUrl = ['http://www.vision.caltech.edu/Image_Datasets/' ...
    'Caltech101/101_ObjectCategories.tar.gz'] ;
  fprintf('Downloading Caltech-101 data to ''%s''. This will take a while.', conf.calDir) ;
  untar(calUrl, conf.calDir) ;
end

if ~exist(fullfile(conf.calDir, 'airplanes'),'dir')
  conf.calDir = fullfile(conf.calDir, '101_ObjectCategories') ;
end

% --------------------------------------------------------------------
%                                                           Setup data
% --------------------------------------------------------------------
classes = dir(conf.calDir) ;
classes = classes([classes.isdir]) ;
classes = {classes(3:conf.numClasses+2).name} ;

images = {} ;
imageClass = {} ;
for ci = 1:length(classes)
  ims = dir(fullfile(conf.calDir, classes{ci}, '*.jpg'))' ;
  ims = vl_colsubset(ims, conf.numTrain + conf.numTest) ;
  ims = cellfun(@(x)fullfile(classes{ci},x),{ims.name},'UniformOutput',false) ;
  images = {images{:}, ims{:}} ;
  imageClass{end+1} = ci * ones(1,length(ims)) ;
end
selTrain = find(mod(0:length(images)-1, conf.numTrain+conf.numTest) < conf.numTrain) ;
selTest = setdiff(1:length(images), selTrain) ;
imageClass = cat(2, imageClass{:}) ;

model.classes = classes ;
model.phowOpts = conf.phowOpts ;
model.numSpatialX = conf.numSpatialX ;
model.numSpatialY = conf.numSpatialY ;
model.quantizer = conf.quantizer ;
model.vocab = [] ;
model.w = [] ;
model.b = [] ;
model.classify = @classify ;

% --------------------------------------------------------------------
%                                                     Train vocabulary
% --------------------------------------------------------------------

if ~exist(conf.vocabPath) || conf.clobber

  % Get some PHOW descriptors to train the dictionary
  selTrainFeats = vl_colsubset(selTrain, 30) ;
  descrs = {} ;
  %for ii = 1:length(selTrainFeats)
  parfor ii = 1:length(selTrainFeats)
    im = imread(fullfile(conf.calDir, images{selTrainFeats(ii)})) ;
    im = standarizeImage(im) ;
    [drop, descrs{ii}] = vl_phow(im, model.phowOpts{:}) ;
  end

  descrs = vl_colsubset(cat(2, descrs{:}), 10e4) ;
  descrs = single(descrs) ;

  % Quantize the descriptors to get the visual words
  vocab = vl_kmeans(descrs, conf.numWords, 'verbose', 'algorithm', 'elkan') ;
  save(conf.vocabPath, 'vocab') ;
else
  load(conf.vocabPath) ;
end

model.vocab = vocab ;

if strcmp(model.quantizer, 'kdtree')
  model.kdtree = vl_kdtreebuild(vocab) ;
end

% --------------------------------------------------------------------
%                                           Compute spatial histograms
% --------------------------------------------------------------------

if ~exist(conf.histPath) || conf.clobber
  hists = {} ;
  parfor ii = 1:length(images)
  % for ii = 1:length(images)
    fprintf('Processing %s (%.2f %%)\n', images{ii}, 100 * ii / length(images)) ;
    im = imread(fullfile(conf.calDir, images{ii})) ;
    hists{ii} = getImageDescriptor(model, im);
  end

  hists = cat(2, hists{:}) ;
  save(conf.histPath, 'hists') ;
else
  load(conf.histPath) ;
end

% --------------------------------------------------------------------
%                                                  Compute feature map
% --------------------------------------------------------------------

psix = vl_homkermap(hists, 1, 'kchi2', 'gamma', .5) ;

% --------------------------------------------------------------------
%                                                            Train SVM
% --------------------------------------------------------------------

if ~exist(conf.modelPath) || conf.clobber
  switch conf.svm.solver
    case 'pegasos'
      lambda = 1 / (conf.svm.C *  length(selTrain)) ;
      w = [] ;
      % for ci = 1:length(classes)
      parfor ci = 1:length(classes)
        perm = randperm(length(selTrain)) ;
        fprintf('Training model for class %s\n', classes{ci}) ;
        y = 2 * (imageClass(selTrain) == ci) - 1 ;
        data = vl_maketrainingset(psix(:,selTrain(perm)), int8(y(perm))) ;
        [w(:,ci) b(ci)] = vl_svmpegasos(data, lambda, ...
                                        'MaxIterations', 50/lambda, ...
                                        'BiasMultiplier', conf.svm.biasMultiplier) ;
      end
    case 'liblinear'
      svm = train(imageClass(selTrain)', ...
                  sparse(double(psix(:,selTrain))),  ...
                  sprintf(' -s 3 -B %f -c %f', ...
                          conf.svm.biasMultiplier, conf.svm.C), ...
                  'col') ;
      w = svm.w' ;
  end

  model.b = conf.svm.biasMultiplier * b ;
  model.w = w ;

  save(conf.modelPath, 'model') ;
else
  load(conf.modelPath) ;
end

% --------------------------------------------------------------------
%                                                Test SVM and evaluate
% --------------------------------------------------------------------

% Estimate the class of the test images
scores = model.w' * psix + model.b' * ones(1,size(psix,2)) ;
[drop, imageEstClass] = max(scores, [], 1) ;

% Compute the confusion matrix
idx = sub2ind([length(classes), length(classes)], ...
              imageClass(selTest), imageEstClass(selTest)) ;
confus = zeros(length(classes)) ;
confus = vl_binsum(confus, ones(size(idx)), idx) ;

% Plots
figure(1) ; clf;
subplot(1,2,1) ;
imagesc(scores(:,[selTrain selTest])) ; title('Scores') ;
set(gca, 'ytick', 1:length(classes), 'yticklabel', classes) ;
subplot(1,2,2) ;
imagesc(confus) ;
title(sprintf('Confusion matrix (%.2f %% accuracy)', ...
              100 * mean(diag(confus)/conf.numTest) )) ;
print('-depsc2', [conf.resultPath '.ps']) ;
save([conf.resultPath '.mat'], 'confus', 'conf') ;

% -------------------------------------------------------------------------
function im = standarizeImage(im)
% -------------------------------------------------------------------------

im = im2single(im) ;
if size(im,1) > 480, im = imresize(im, [480 NaN]) ; end

% -------------------------------------------------------------------------
function hist = getImageDescriptor(model, im)
% -------------------------------------------------------------------------

im = standarizeImage(im) ;
width = size(im,2) ;
height = size(im,1) ;
numWords = size(model.vocab, 2) ;

% get PHOW features
[frames, descrs] = vl_phow(im, model.phowOpts{:}) ;

% quantize appearance
switch model.quantizer
  case 'vq'
    [drop, binsa] = min(vl_alldist(model.vocab, single(descrs)), [], 1) ;
  case 'kdtree'
    binsa = double(vl_kdtreequery(model.kdtree, model.vocab, ...
                                  single(descrs), ...
                                  'MaxComparisons', 15)) ;
end

for i = 1:length(model.numSpatialX)
  binsx = vl_binsearch(linspace(1,width,model.numSpatialX(i)+1), frames(1,:)) ;
  binsy = vl_binsearch(linspace(1,height,model.numSpatialY(i)+1), frames(2,:)) ;

  % combined quantization
  bins = sub2ind([model.numSpatialY(i), model.numSpatialX(i), numWords], ...
                 binsy,binsx,binsa) ;
  hist = zeros(model.numSpatialY(i) * model.numSpatialX(i) * numWords, 1) ;
  hist = vl_binsum(hist, ones(size(bins)), bins) ;
  hists{i} = single(hist / sum(hist)) ;
end
hist = cat(1,hists{:}) ;
hist = hist / sum(hist) ;

% -------------------------------------------------------------------------
function [className, score] = classify(model, im)
% -------------------------------------------------------------------------

hist = getImageDescriptor(model, im) ;
psix = vl_homkermap(hist, 1, 'kchi2', 'period', .7) ;
scores = model.w' * psix + model.b' ;
[score, best] = max(scores) ;
className = model.classes{best} ;


     
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/applications/sift-mosaic-code.html000066400000000000000000000161341203326130700223410ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Applications - sift_mosaic.m
  

  
  

  
  

  
  
 

 
 
  
  

   Applications - sift_mosaic.m
  

  

    
   

    
       
function mosaic = sift_mosaic(im1, im2)
% SIFT_MOSAIC Demonstrates matching two images using SIFT and RANSAC
%
%   SIFT_MOSAIC demonstrates matching two images based on SIFT
%   features and RANSAC and computing their mosaic.
%
%   SIFT_MOSAIC by itself runs the algorithm on two standard test
%   images. Use SIFT_MOSAIC(IM1,IM2) to compute the mosaic of two
%   custom images IM1 and IM2.

% AUTORIGHTS

if nargin == 0
  im1 = imread(fullfile(vl_root, 'data', 'river1.jpg')) ;
  im2 = imread(fullfile(vl_root, 'data', 'river2.jpg')) ;
end

% make single
im1 = im2single(im1) ;
im2 = im2single(im2) ;

% make grayscale
if size(im1,3) > 1, im1g = rgb2gray(im1) ; else im1g = im1 ; end
if size(im2,3) > 1, im2g = rgb2gray(im2) ; else im2g = im2 ; end

% --------------------------------------------------------------------
%                                                         SIFT matches
% --------------------------------------------------------------------

[f1,d1] = vl_sift(im1g) ;
[f2,d2] = vl_sift(im2g) ;

[matches, scores] = vl_ubcmatch(d1,d2) ;

numMatches = size(matches,2) ;

X1 = f1(1:2,matches(1,:)) ; X1(3,:) = 1 ;
X2 = f2(1:2,matches(2,:)) ; X2(3,:) = 1 ;

% --------------------------------------------------------------------
%                                         RANSAC with homography model
% --------------------------------------------------------------------

clear H score ok ;
for t = 1:100
  % estimate homograpyh
  subset = vl_colsubset(1:numMatches, 4) ;
  A = [] ;
  for i = subset
    A = cat(1, A, kron(X1(:,i)', vl_hat(X2(:,i)))) ;
  end
  [U,S,V] = svd(A) ;
  H{t} = reshape(V(:,9),3,3) ;

  % score homography
  X2_ = H{t} * X1 ;
  du = X2_(1,:)./X2_(3,:) - X2(1,:)./X2(3,:) ;
  dv = X2_(2,:)./X2_(3,:) - X2(2,:)./X2(3,:) ;
  ok{t} = (du.*du + dv.*dv) < 6*6 ;
  score(t) = sum(ok{t}) ;
end

[score, best] = max(score) ;
H = H{best} ;
ok = ok{best} ;

% --------------------------------------------------------------------
%                                                  Optional refinement
% --------------------------------------------------------------------

function err = residual(H)
 u = H(1) * X1(1,ok) + H(4) * X1(2,ok) + H(7) ;
 v = H(2) * X1(1,ok) + H(5) * X1(2,ok) + H(8) ;
 d = H(3) * X1(1,ok) + H(6) * X1(2,ok) + 1 ;
 du = X2(1,ok) - u ./ d ;
 dv = X2(2,ok) - v ./ d ;
 err = sum(du.*du + dv.*dv) ;
end

if exist('fminsearch') == 2
  H = H / H(3,3) ;
  opts = optimset('Display', 'none', 'TolFun', 1e-8, 'TolX', 1e-8) ;
  H(1:8) = fminsearch(@residual, H(1:8)', opts) ;
else
  warning('Refinement disabled as fminsearch was not found.') ;
end

% --------------------------------------------------------------------
%                                                         Show matches
% --------------------------------------------------------------------

dh1 = max(size(im2,1)-size(im1,1),0) ;
dh2 = max(size(im1,1)-size(im2,1),0) ;

figure(1) ; clf ;
subplot(2,1,1) ;
imagesc([padarray(im1,dh1,'post') padarray(im2,dh2,'post')]) ;
o = size(im1,2) ;
line([f1(1,matches(1,:));f2(1,matches(2,:))+o], ...
     [f1(2,matches(1,:));f2(2,matches(2,:))]) ;
title(sprintf('%d tentative matches', numMatches)) ;
axis image off ;

subplot(2,1,2) ;
imagesc([padarray(im1,dh1,'post') padarray(im2,dh2,'post')]) ;
o = size(im1,2) ;
line([f1(1,matches(1,ok));f2(1,matches(2,ok))+o], ...
     [f1(2,matches(1,ok));f2(2,matches(2,ok))]) ;
title(sprintf('%d (%.2f%%) inliner matches out of %d', ...
              sum(ok), ...
              100*sum(ok)/numMatches, ...
              numMatches)) ;
axis image off ;

drawnow ;

% --------------------------------------------------------------------
%                                                               Mosaic
% --------------------------------------------------------------------

box2 = [1  size(im2,2) size(im2,2)  1 ;
        1  1           size(im2,1)  size(im2,1) ;
        1  1           1            1 ] ;
box2_ = inv(H) * box2 ;
box2_(1,:) = box2_(1,:) ./ box2_(3,:) ;
box2_(2,:) = box2_(2,:) ./ box2_(3,:) ;
ur = min([1 box2_(1,:)]):max([size(im1,2) box2_(1,:)]) ;
vr = min([1 box2_(2,:)]):max([size(im1,1) box2_(2,:)]) ;

[u,v] = meshgrid(ur,vr) ;
im1_ = vl_imwbackward(im2double(im1),u,v) ;

z_ = H(3,1) * u + H(3,2) * v + H(3,3) ;
u_ = (H(1,1) * u + H(1,2) * v + H(1,3)) ./ z_ ;
v_ = (H(2,1) * u + H(2,2) * v + H(2,3)) ./ z_ ;
im2_ = vl_imwbackward(im2double(im2),u_,v_) ;

mass = ~isnan(im1_) + ~isnan(im2_) ;
im1_(isnan(im1_)) = 0 ;
im2_(isnan(im2_)) = 0 ;
mosaic = (im1_ + im2_) ./ mass ;

figure(2) ; clf ;
imagesc(mosaic) ; axis image off ;
title('Mosaic') ;

if nargout == 0, clear mosaic ; end

end


     
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/compiling.html000066400000000000000000000200301203326130700164740ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download - Compiling
  

  
  

  
  

  
  
 

 
 
  
  

   Download - Compiling
  

  

    
   

    
   


These instructions explain how to compile VLFeat on your own. This
can be useful to customize or contribute to VLFeat, but it is
otherwise not necessary (use the
binary package instead).





Compiling on Unix



Compiling for UNIX-like platforms (e.g. Mac OS X, Linux) uses the
standard GNU toolchain. It is usually sufficient to change to VLFeat
root directory, denoted VLFEATROOT in the following, and
type make:


$ cd VLFEATROOT
$ make




The make script attempts to automatically detect the host
architecture and configure itself accordingly. If the architecture is
not detected correctly, it can be specified manually. For instance


$ make ARCH=glnx86




compiles for GNU/Linux 32-bit. make help can be used
to obtain a list of other useful options. You can also use make info
to obtain a list of the configuration parameters used by the Makefile,
which might allow you do debug any potential issue.



MATLAB support. In order for MATLAB support to be compiled,
the MATLAB mex script must be in the current path. If it
is not, its location must be passed to make as
follows. First, determine MATLAB's root directory by running a MATLAB
session and issuing the matlabroot
command. Let MATLABROOT denote the returned path
(e.g. /Applications/MATLAB_R2009b.app/). The mex
script is usually located in MALTABROOT/bin/mex. Then run
the compilation with the command


$ make MEX=MATLABROOT/bin/mex




VLFeat must be compiled for the architecture used by MATLAB (run
 MATLAB's computer command to obtain this
 information). On Mac OS X it is often necessary to turn on 64-bit
 support explicitly by setting ARCH=maci64 as both the 32
 and 64 bit versions are plausible targets on 64-bit machines.





Mac OS X 10.6 (Snow Leopard), 64-bit, and MATLAB 2009b.
MATLAB 2009b for Snow Leopard has added 64 bit mex support and a
corresponding extension mexmaci64. VLFeat now supports
compiling for this platform, but the architecture must be specified
manually when compiling, either like:



$ make ARCH=maci64





or



$ make ARCH=maci





Unfortunately, MATLAB 2009b's mex script has a bug that
must be manually fixed in order for this procedure to work
correctly. It is recommend to make backup of the mex
script before attempting this. Th fix the bug, edit the
MATLABROOT/bin/mex script by cutting the line:



get_arch    # Call $MATLAB/bin/util/arch.sh





and pasting it after the processing of options:



...
shift
done

#PASTE get_arch call here
get_arch    # Call $MATLAB/bin/util/arch.sh

if [ $v7_compat -eq 1 ] ; then
fc_flags="$fc_flags -DMX_COMPAT_32"
...







Compiling on Windows



For Windows, the library bundles an NMake makefile
 (Makefile.mak). In order to use it, you must edit
 Makefile.mak to adjust the values of a number of configuration
 variables to match your setup. Once you have done that, start the
 Visual Studio Command Prompt and type



$ nmake /f Makefile.mak # for the Windows 32 target
$ nmake /f Makefile.mak ARCH=win64 # for the Windows 64 target





For Windows platform, it is also possible to compile just the
MATLAB MEX files from within MATLAB (using the vl_compile
command). This is meant to help less experienced users that may need
to recompile the mex file due to binary incompatibilities with older
MATLAB versions.



Windows troubleshooting




 
syntax error: '=' unexpected:

 
Use nmake /f Makefile.mak.
   Without /f, nmake will default to the wrong
   makefile.

 
'long' followed by 'long' is illegal:

 
This error is usually caused by
   attempting to compile outside of the Visual Studio Command Prompt.






  
   

   
 

  
 
   
 
 


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%{5ܕ65*Ttlۿj9ո9V'lQ2&[L	.ux#ٮktNgvlfeat-0.9.16/doc/doc.html000066400000000000000000000101771203326130700152730ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Documentation
  

  
  

  
  

  
  
 

 
 
  

  

   Documentation
  

  

    
   

    
  


The VLFeat reference documentation has three parts:




  

    
      

        
MATLAB functions

        
The reference documentation of VLFeat MATLAB commands (this
        is an on-line version of the documentation built in the
        command themsevles).

      

    		
    
      

        
C API
        reference
This documentation
        includes descriptions of all the algorithms and hence
        it is useful even if you do not plan to use the C library
        directly.

      

    		
    
      

      
Man pages

      
The documentation of the command line
      utilities bundled with VLFeat (this is an on-line version
      of the Unix man found in the src/
      subdirectory.

    		
  





In addition to the documentation, there are also 
tutorials which introduce many of the
algorithms contained in the library.




  
   
  

  
   
  

  
   
  
 
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/download.html000066400000000000000000000133321203326130700163310ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download
  

  
  

  
  

  
  
 

 
 
  
  

   Download
  

  

    
   

    


The latest version of VLFeat is 0.9.16. To use
VLFeat, simply download and unpack the latest binary package and add
the appropriate paths to your environment (see below for details).










Downloads









Install














Repository access



VLFeat is under active development. You
can browse our
Git repository or download it by



git clone git://github.com/vlfeat/vlfeat.git





(This will require Git to be
installed). The top of the master branch corresponds to the most
recent version of VLFeat, but it could be unstable.



We welcome contributions to both the documentation and the source
code of VLFeat. You can create patches against our Git repository and
send them to us for inclusion in the next version. There are two ways
to contribute. For minor changes, simply clone our public repository,
as explained above. Once you have made and committed your changes
locally, you can submit them to the project via e-mail using a command
like git format-patch:




git format-patch origin





For major additions, we prefer to handle collaboration through
github. Follow 
their tutorial 
to fork our project
and submit your modifications using a pull request.



  
  
  
  
 
   

   
 

  
 
   
 
 


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  VLFeat - Download - C library install - g++
  

  
  

  
  

  
  
 

 
 
  
  

   Download - C library install - g++
  

  

    
   

    

 
These instructions show how to setup a basic C++ project which uses the
 VLFeat library and the g++ compiler. Our project will consist of the
 following simple file, which we will refer to as main.cpp:
 



extern "C" {
  #include <vl/generic.h>
}

int main (int argc, const char * argv[]) {
  VL_PRINT ("Hello world!") ;
  return 0;
}




 
Notice that the extern "C" is required for C++ projects.
 Compiling the project is straightforward. From the command prompt type:



$ g++ main.cpp -o vlfeat-test -IVLROOT -LVLROOT/bin/a64/ -lvl




 
In this example, replace VLROOT with the path to your VLFeat
 installation and replace a64 with your architecture
 (a64 for 64 bit linux, glx for 32 bit linux).



   

   
 

  
 
   
 
 


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  VLFeat - Home
  

  
  

  
  

  
  
 

 
 
  

  

   Home
  

  

    
   

     
  

  

    ACM OpenSource Award 2010
  


  
The VLFeat open source
  library implements popular computer vision algorithms including
  HOG, SIFT, MSER, k-means, hierarchical
  k-means, agglomerative information
  bottleneck, SLIC superpixels, and quick
  shift. It is written in C for efficiency and compatibility,
  with interfaces in MATLAB for ease of use, and detailed
  documentation throughout. It supports
  Windows, Mac OS X, and Linux. The latest
  version of VLFeat is 0.9.16.


 

 

 
 

  
Download

  
 

 
 

  
Documentation

  
  

 		
 

 

 
 

  
Tutorials

  
  
Example applications

  
 

 
 

  
Citing


@misc{vedaldi08vlfeat,
 Author = {A. Vedaldi and B. Fulkerson},
 Title = {{VLFeat}: An Open and Portable Library
          of Computer Vision Algorithms},
 Year  = {2008},
 Howpublished = {\url{http://www.vlfeat.org/}}



Acknowledgments


PASCAL2 credits, VLFeat Contributors,

UCLA Vision
Lab, Oxford
VGG.




 
News


 

 


   
01/10/2012
     VLBenchmarks
       1.0-beta released.

   
This new project provides simple to use benchmarking code for
   feature detectors and descriptors. Its development was supported by
   the PASCAL Harvest
   programme.
   [Details]


   
01/10/2012 VLFeat 0.9.16 released

   
Added VL_COVDET() (covariant feature detector). This function
   implements the following detectors: DoG, Hessian, Harris Laplace,
   Hessian Laplace, Multiscale Hessian, Multiscale Harris. It also
   implements affine adaptation, estiamtion of feature orientation,
   computation of descriptors on the affine patches (including raw
   patches), and sourcing of custom feature frame. Addet the auxiliary
   function VL_PLOTSS(). This is the second point update supported by
   the PASCAL Harvest
   programme.
   [Details]


   
11/9/2012 VLFeat 0.9.15 released

   
Added VL_HOG() (HOG features). Added VL_SVMPEGASOS() and a
   vastly improved SVM implementation. Added IHASHSUM (hashed
   counting). Improved INTHIST (integral histogram). Added
   VL_CUMMAX(). Improved the implementation of VL_ROC() and
   VL_PR(). Added VL_DET() (Detection Error Trade-off (DET)
   curves). Improved the verbosity control to AIB. Added support for
   Xcode 4.3, improved support for past and future Xcode
   versions. Completed the migration of the old test code in
   toolbox/test, moving the functionality to the new unit tests
   toolbox/xtest. Improved credits. This is the first point update
   supported by the PASCAL
   Harvest (several more to come shortly). A big thank to our
   sponsor!
   [Details].
   

   
10/1/2012
     PASCAL2 Harvest funding

   
In the upcoming months many new functionalities will be added
     to VLFeat thanks to the PASCAL
     Harvest! See here for details.
   

   
24/12/2011 VLFeat 0.9.14 released

   
VLFeat 0.9.14 adds SLIC superpixels, improves the
     documentation, and contains other improvements and
     bugfixes. Furthermore, starting from this release VLFeat is
     distributed under the BSD license.
     [Details].
   

   
12/7/2011 VLFeat 0.9.13 released

   
VLFeat 0.9.13 fixes the Windows binary package.
     [Details].
   

   
5/7/2011 VLFeat 0.9.12 released

   
VLFeat 0.9.12 contains minor bugfixes.
     [Details].
   

   
19/6/2011 VLFeat 0.9.11 released

   
VLFeat 0.9.11 solves a compatibility issue with old versions of
     Mac OS X and brings other minor bug fixes as well.
     [Details].
   

   
11/6/2011 VLFeat 0.9.10 released

   
VLFeat 0.9.10 rolls out numerous bug fixes
     and improvements, especially to the
     homogeneous kernel map implementation.
     [Details].
   

   
28/10/2010 VLFeat wins the ACM Multimedia Open Source Awards!

   
VLFeat 0.9.9 was awarded
   the ACM
   Multimedia Open Source Award.
   

   
 


  
  
 
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/install-c.html000066400000000000000000000077431203326130700164210ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download - C library install
  

  
  

  
  

  
  
 

 
 
  
  

   Download - C library install
  

  

    
   

    
   


These instructions explain how to use VLFeat in your C
programs.



Download and unpack the latest
VLFeat binary distribution in a directory of your choice
(e.g. ~/src/vlfeat). The following tutorials provide
step-by-step instructions for two typical use cases:





In general, let VLFEATROOT denote the path to the
directory where you unpacked VLFeat. To compile and link your C
program against VLFeat, include in your C source code the appropriate
files from the VLFEATROOT/vl hierarchy and link against
the library vl located in the appropriate
subdirectory vlfeat/bin/ARCH, where ARCH
depends on your architecture.



VLFeat is a C library. To use it from a C++ program, do not forget
to enclose your #include statements in a extern
"C" block.



   
   
   
  
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/install-matlab.html000066400000000000000000000126201203326130700174250ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download - MATLAB install
  

  
  

  
  

  
  
 

 
 
  
  

   Download - MATLAB install
  

  

    
   

    
   


These instructions explain how to setup VLFeat in MATLAB using the
binary distribution (it is also possible
to compile the library and toolbox from
source).



One-time setup



Download and unpack the latest
VLFeat binary distribution in a directory of your choice
(e.g. ~/src/vlfeat). Let VLFEATROOT denote
this directory. VLFeat must be added to MATLAB search path by running
the vl_setup command found in
the VLFEATROOT/toolbox directory. From MATLAB prompt
enter



>> run('VLFEATROOT/toolbox/vl_setup')
VLFeat 0.9.8 ready.





To check that VLFeat is sucessfully installed, try to run
the vl_version command:



>> vl_version verbose
VLFeat version 0.9.8
    Static config: X64, little_endian, GNU C 40201 LP64, POSIX_threads, SSE2
    4 CPU(s): GenuineIntel MMX SSE SSE2 SSE3 SSE41 SSE42
    SIMD enabled: yes





Permanent setup



To permanently add VLFeat to your MATLAB environment, add this line
to your
startup.m
file:



run('VLFEATROOT/toolbox/vl_setup')





When you restart MATLAB, you should see the VLFeat greeting
message.



Getting started



All commands embed interface documentation that can be viewed with
the
builtin help
command (e.g. help vl_sift).



VLFeat bundles a large number of demos. To use them, add the demo
path with vl_setup demo. For example, a sift demo
vl_demo_sift_basic can be run using the following:



>> vl_setup demo

>> vl_demo_sift_basic





To see a list of demos TAB-complete vl_demo at MATLAB
prompt, after running vl_setup demo.



  
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/install-shell.html000066400000000000000000000142551203326130700173020ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download - Shell install
  

  
  

  
  

  
  
 

 
 
  
  

   Download - Shell install
  

  

    
   

    
   




These instructions explain how to use VLFeat from the command line
(shell).



Download and unpack the latest
VLFeat binary distribution in a directory of your choice
(e.g. ~/src/vlfeat). Let VLFEATROOT denote
this directory.



The command line tools are located
in VLFEATROOT/bin/ARCH. Here ARCH denotes
the subdirectory relative to your architecture (e.g. mac
for Mac OS X PPC, maci for Mac OS X
Intel, glnx86 for Linux, and so on). For the sake of
illustration, the following table gives the path to the SIFT feature
extraction program for the varius architectures:








Platform
ARCH
Path to command




Windows 32
win32
VLFEATROOT\bin\w32\sift.exe




Windows 64
win64
VLFEATROOT\bin\w64\sift.exe




Mac Intel 32
maci
VLFEATROOT/bin/maci/sift




Mac Intel 64
maci64
VLFEATROOT/bin/maci64/sift




Mac PPC
mac
VLFEATROOT/bin/mac/sift




Linux 32
glnx86
VLFEATROOT/bin/glnx86/sift




Linux 64
glnxa64
VLFEATROOT/bin/glnxa64/sift








All commands have a corresponding man page found
in VLFEATROOT/src.  For UNIX based systems, the man pages
can be viewed with the man utility. For instance




> man VLFEATROOT/src/sift.1





It might be convenient to add VLFeat to the system search paths. In
Linux and Mac OS X this involves modifying the PATH
and MANPATH environment variables. The exact details may
vary, but it should be enough to add the following to your
~/.bash_profile:



export PATH=VLFEATROOT/bin/ARCH:$PATH
export MANPATH=VLFEATROOT/src:$MANPATH





Alternatively, you can copy the executables and man pages to
appropriate system-wide directories.



  
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/license.html000066400000000000000000000077631203326130700161570ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Home - License
  

  
  

  
  

  
  
 

 
 
  
  

   Home - License
  

  

    
   

    

VLFeat is distributed under the BSD license:


Copyright (C) 2007-12, Andrea Vedaldi and Brian Fulkerson
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
1. Redistributions of source code must retain the above copyright
   notice, this list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright
   notice, this list of conditions and the following disclaimer in the
   documentation and/or other materials provided with the
   distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.



   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/man-src/000077500000000000000000000000001203326130700151725ustar00rootroot00000000000000vlfeat-0.9.16/doc/man-src/man.html000066400000000000000000000002311203326130700166270ustar00rootroot00000000000000
vlfeat-0.9.16/doc/man-src/mser.1.html000066400000000000000000000122771203326130700171760ustar00rootroot00000000000000


MSER

NAME

SYNOPSIS

OPTIONS

DESCRIPTION

EXAMPLES

SEE ALSO




NAME 


mser − Maximally
Stable Extremal Regions


SYNOPSIS 


mser
[options] FILE ...


OPTIONS 


−v,
−−verbose


Increase verbosity level (may be
repeated).


−h,
−−help


Show options and version.



−−seeds[=FILESPEC]


Enable/specify seeds output.



−−frames[=FILESPEC]


Enable/specify frames output.



−−meta[=FILESPEC]


Enable/specify meta output.


−d REAL,
−−delta=REAL


Specify delta parameter.



−−min-area=REAL


Specify minimum region area.



−−max-area=REAL


Specify maximum region area.



−−max-variation=REAL


Specify maximum region variation.



−−min-diversity=REAL


Specify minimum region diversity.


DESCRIPTION 


mser computes
the Maximally Stable Extremal Regions (MSER) mser
reads an image file (in PGM format), computes the MSERs, and writes
them to a file of region seeds. Alternatively, the --frames
option can be used to compute elliptical frames instead of region
seeds. It is also possible to use --frames and
--seeds in combination to save both seeds and frames.


A
region seed is and index pointing to one of the image
pixels (pixels are enumerated in row major order, with 0
corresponding to the upper-left corner of the image). An MSER
containing a given seed is the largest connect subset of pixels
whose value is not smaller than the seed value.


A frame is an
ellipse approximating an MSER and is specified by 5 floating point
numbers: coordinate of the center x and y, and
elements S11, S12, S22 of the co-variance
matrix.


Both seeds and frames
can be saved either in ascii or binary format, based on the
specified FILESPECs (see also vlfeat(7)):

Ascii format


Each seed is a decimal number, one per
line of text, and each frame is a list of 6 floating point numbers,
one per line of text.


Binary format


The binary format is similar to the
ascii format, except that each seed is stored as a unsigned integer
(four bytes) and each frame component is stored as an IEEE double
(eight bytes). The data is written in little endian order.


mser can process
multiple images. In this case the names of the corresponding output
files are calculated based on FILESPECs.


EXAMPLES 


mser test.pgm -d 5


Computes the MSERs of image
test.pgm setting the parameter delta to 5 and save
the result as a sequence of region seeds to test.mser.


mser test.pgm −−frames


Computes the MSERs of image
test.pgm, fits elliptical frames to them and saves the
frames to test.frame.


mser test.pgm
−−frames=bin:///tmp/%.frame −−seeds


Computes the MSERs of image
test.pgm, fits elliptical frames to them and saves the
frames to /tmp/test.frame and the region seeds to
test.mser.


SEE ALSO 


vlfeat(7)


J. Matas, O. Chum, M.
Urban, and T. Pajdla. Robust wide baseline stereo from maximally
stable extremal regions. In Proc. BMVC, 2002.




vlfeat-0.9.16/doc/man-src/sift.1.html000066400000000000000000000147351203326130700171760ustar00rootroot00000000000000


SIFT

NAME

SYNOPSIS

OPTIONS

DESCRIPTION

EXAMPLES

SEE ALSO




NAME 


sift − Scale
Invariant Feature Transform


SYNOPSIS 


sift
[options] FILE ...


OPTIONS 


−v,
−−verbose


Increase verbosity level (may be
repeated).


−h,
−−help


Show options and version.



−−output[=FILESPEC],
−oFILESPEC


Enable/specify seeds output.



−−frames[=FILESPEC]


Enable/specify frames output.



−−descriptors[=FILESPEC]


Enable/specify descriptors output.



−−gss[=FILESPEC]


Enable/specify the Gaussian Scale Space
(GSS) output.



−−meta[=FILESPEC]


Enable/specify meta output.



−−first-octave=INTEGER


Specifiy the index of the first octave
of the GSS.



−−edge-thresh=REAL


Specify the edge threshold.



−−peak-thresh=REAL


Specify the peak threshold.



−−read-frames[=FILESPEC]


Enable/specify reading the frames from
a file. −−orientations Force the computation of
the frame orientations.


DESCRIPTION 


sift computes
the Scale Invariant Feature Transform (SIFT). sift
reads an image file (in PGM format), computes the SIFT frames and
their descriptors and write them to a file. Alternatively,
--frames option can be used to suppress the standard output
and produce a file with the feature frames only. Similarly,
--descriptors suppresses the standard output and produce a
file of descriptors only. --output can be used in
combination with the previous too if the combined output of frames
and descriptors is required.


The
--read-frames option bypasses the SIFT detector and reads
the frames from the specified file. This option can be used iin
combination with --orientations to read the frames but
calculate their orientations anyway. Both option do not change how
the frames and the descriptors are written to disk. Notice that if
--orientations is used, the number of frames may change if
multiple orientations are detected).


A frame is an oriented
ellipse (also called affine frame) and is specified by 6 floating
point numbers (in order: coordinate of the center x and
y, and elements A11, A21, A21,
A22 of the matrix mapping the unit circle to the ellipse). A
feature descriptor is an histogram. It is specifyied by 128
non-negative integer numbers.


sift can process
multiple images and derive the names of the various output files by
means of FILESPEC (see vlfeat(7)). Both frames and
descriptors can be saved/loaded either in ascii or binary
format.

Ascii format


Each descriptor is a list of 128
decimal numbers and occupies a line of text. Each frame is a list
of 5 numbers, specifying an elliptical frame, one per line of text.
The combined output file (with both frames and descriptors) stores
a frame and the corresponding descriptor for each line of
text.


Binary format


The binary format is similar to the
ASCII format, except that each frame element is stored as an IEEE
double floating point number (eight bytes) and each descriptor
element is stored as an unsiged integer (one byte). The data is
written in little endian order.


EXAMPLES 


sift test.pgm
--peak-thresh=0.03


Caluclates the SIFT frames and
descriptors of image /tmp/myimage.pgm with peak threshold
equal to 0.03 and save them back to test.sift in ascii
format.


sift test.pgm --frames


Writes the frames to test.frame
in ascii format and does not compute the descriptors.


sift test.pgm --descriptors=bin://


writes only the frames to
test.descr. in binary format.


sift test.pgm
−−frames=my.frames -o bin:///tmp/%.sift


writes the frames in ascii format to
my.frames and the combined frames-descriptors file in binary
format to /tmp/test.sift.


sift test1.pgm test2.pgm
−−read-frames=bin:/tmp/%.key


reads the frames of images
test1.pgm and test2.pgm from the binary files
/tmp/test1.key and /tmp/test2.key and writes the
frames and their descriptors to the files test1.sift and
test2.sift respectively.


SEE ALSO 


vlfeat(7).


D. G. Lowe. Distinctive
image features from scale-invariant keypoints. IJCV,
2(60):91-110, 2004.




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VLFEAT

NAME

DESCRIPTION

FILE SPECIFIERS
(FILESPEC)

SEE ALSO




NAME 


VLFeat −
VisionLab Features Library


DESCRIPTION 


VLFeat is a
collection of computer vision algorithms with a special focus on
image features such as SIFT and MSER.


The functionalities
offered by the library can be accessed either through its API, or
by means of command line and MATLAB programs. See the SEE
ALSO section for a list of the related command line programs
and for a pointer to the general documentation of the library.


FILE SPECIFIERS (FILESPEC) 


Some commands in
VLFeat make use of ‘file specifiers’ to
associate to one or more input files the appropriate
output/auxiliary files. A file specifier is a string such as
‘ascii://%.txt’ and contains two pieces of
information:








•





The file format (in this case ascii). The
supported formats depend on the particular application. Two common
formats are ascii and bin(ary).









•





A name transformation rule (in this case %.txt).
This is used to transform the name an input file into the name of
the corresponding output/auxiliary file. The transformed name is
comput by extracting the basename of the input file substituting it
to all occurences of the wildcard characer ‘%’ in the
transformation rule (‘%%’) passes the wildcard
character untouched.







Recall that the
basename of a file name is obtained by stripping the directory
prefix (everything from the beginning up to the last
‘/’ or ‘\’ character) and extension
(everything from the last ‘.’ characeter (excluding the
prefix) to the end).


For instance, the
filespec ‘ascii://%.txt’ and the input file
‘test.data’ specify a file named ‘test.txt’
in ascii (text) format.


Partial file
specifiers

Normally, a program provides default values for its file
specifiers. In this case, partial file specifier (with only the
file format or the name transformation rule are acceptable).


File specifiers
equivalent to a file name

A partial specifier such as ‘file.txt’ is in effect
equivalent to the file name ‘file.txt’. If the
specifier is used in conjunction with multiple input files, this
causes the same file to be accessed multile times.


SEE ALSO 


sift(1),
mser(1)


A. Vedaldi and B.
Fulkerson. VLFeat Library. http://www.vlfeat.org/




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These man pages describe VLFeat command line utilities.

    
    




   
   

   
 

  
 
   
 
 


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MSER

NAME

SYNOPSIS

OPTIONS

DESCRIPTION

EXAMPLES

SEE ALSO




NAME 


mser − Maximally
Stable Extremal Regions


SYNOPSIS 


mser
[options] FILE ...


OPTIONS 


−v,
−−verbose


Increase verbosity level (may be
repeated).


−h,
−−help


Show options and version.



−−seeds[=FILESPEC]


Enable/specify seeds output.



−−frames[=FILESPEC]


Enable/specify frames output.



−−meta[=FILESPEC]


Enable/specify meta output.


−d REAL,
−−delta=REAL


Specify delta parameter.



−−min-area=REAL


Specify minimum region area.



−−max-area=REAL


Specify maximum region area.



−−max-variation=REAL


Specify maximum region variation.



−−min-diversity=REAL


Specify minimum region diversity.


DESCRIPTION 


mser computes
the Maximally Stable Extremal Regions (MSER) mser
reads an image file (in PGM format), computes the MSERs, and writes
them to a file of region seeds. Alternatively, the --frames
option can be used to compute elliptical frames instead of region
seeds. It is also possible to use --frames and
--seeds in combination to save both seeds and frames.


A
region seed is and index pointing to one of the image
pixels (pixels are enumerated in row major order, with 0
corresponding to the upper-left corner of the image). An MSER
containing a given seed is the largest connect subset of pixels
whose value is not smaller than the seed value.


A frame is an
ellipse approximating an MSER and is specified by 5 floating point
numbers: coordinate of the center x and y, and
elements S11, S12, S22 of the co-variance
matrix.


Both seeds and frames
can be saved either in ascii or binary format, based on the
specified FILESPECs (see also vlfeat(7)):

Ascii format


Each seed is a decimal number, one per
line of text, and each frame is a list of 6 floating point numbers,
one per line of text.


Binary format


The binary format is similar to the
ascii format, except that each seed is stored as a unsigned integer
(four bytes) and each frame component is stored as an IEEE double
(eight bytes). The data is written in little endian order.


mser can process
multiple images. In this case the names of the corresponding output
files are calculated based on FILESPECs.


EXAMPLES 


mser test.pgm -d 5


Computes the MSERs of image
test.pgm setting the parameter delta to 5 and save
the result as a sequence of region seeds to test.mser.


mser test.pgm −−frames


Computes the MSERs of image
test.pgm, fits elliptical frames to them and saves the
frames to test.frame.


mser test.pgm
−−frames=bin:///tmp/%.frame −−seeds


Computes the MSERs of image
test.pgm, fits elliptical frames to them and saves the
frames to /tmp/test.frame and the region seeds to
test.mser.


SEE ALSO 


vlfeat(7)


J. Matas, O. Chum, M.
Urban, and T. Pajdla. Robust wide baseline stereo from maximally
stable extremal regions. In Proc. BMVC, 2002.





   

   
 

  
 
   
 
 


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SIFT

NAME

SYNOPSIS

OPTIONS

DESCRIPTION

EXAMPLES

SEE ALSO




NAME 


sift − Scale
Invariant Feature Transform


SYNOPSIS 


sift
[options] FILE ...


OPTIONS 


−v,
−−verbose


Increase verbosity level (may be
repeated).


−h,
−−help


Show options and version.



−−output[=FILESPEC],
−oFILESPEC


Enable/specify seeds output.



−−frames[=FILESPEC]


Enable/specify frames output.



−−descriptors[=FILESPEC]


Enable/specify descriptors output.



−−gss[=FILESPEC]


Enable/specify the Gaussian Scale Space
(GSS) output.



−−meta[=FILESPEC]


Enable/specify meta output.



−−first-octave=INTEGER


Specifiy the index of the first octave
of the GSS.



−−edge-thresh=REAL


Specify the edge threshold.



−−peak-thresh=REAL


Specify the peak threshold.



−−read-frames[=FILESPEC]


Enable/specify reading the frames from
a file. −−orientations Force the computation of
the frame orientations.


DESCRIPTION 


sift computes
the Scale Invariant Feature Transform (SIFT). sift
reads an image file (in PGM format), computes the SIFT frames and
their descriptors and write them to a file. Alternatively,
--frames option can be used to suppress the standard output
and produce a file with the feature frames only. Similarly,
--descriptors suppresses the standard output and produce a
file of descriptors only. --output can be used in
combination with the previous too if the combined output of frames
and descriptors is required.


The
--read-frames option bypasses the SIFT detector and reads
the frames from the specified file. This option can be used iin
combination with --orientations to read the frames but
calculate their orientations anyway. Both option do not change how
the frames and the descriptors are written to disk. Notice that if
--orientations is used, the number of frames may change if
multiple orientations are detected).


A frame is an oriented
ellipse (also called affine frame) and is specified by 6 floating
point numbers (in order: coordinate of the center x and
y, and elements A11, A21, A21,
A22 of the matrix mapping the unit circle to the ellipse). A
feature descriptor is an histogram. It is specifyied by 128
non-negative integer numbers.


sift can process
multiple images and derive the names of the various output files by
means of FILESPEC (see vlfeat(7)). Both frames and
descriptors can be saved/loaded either in ascii or binary
format.

Ascii format


Each descriptor is a list of 128
decimal numbers and occupies a line of text. Each frame is a list
of 5 numbers, specifying an elliptical frame, one per line of text.
The combined output file (with both frames and descriptors) stores
a frame and the corresponding descriptor for each line of
text.


Binary format


The binary format is similar to the
ASCII format, except that each frame element is stored as an IEEE
double floating point number (eight bytes) and each descriptor
element is stored as an unsiged integer (one byte). The data is
written in little endian order.


EXAMPLES 


sift test.pgm
--peak-thresh=0.03


Caluclates the SIFT frames and
descriptors of image /tmp/myimage.pgm with peak threshold
equal to 0.03 and save them back to test.sift in ascii
format.


sift test.pgm --frames


Writes the frames to test.frame
in ascii format and does not compute the descriptors.


sift test.pgm --descriptors=bin://


writes only the frames to
test.descr. in binary format.


sift test.pgm
−−frames=my.frames -o bin:///tmp/%.sift


writes the frames in ascii format to
my.frames and the combined frames-descriptors file in binary
format to /tmp/test.sift.


sift test1.pgm test2.pgm
−−read-frames=bin:/tmp/%.key


reads the frames of images
test1.pgm and test2.pgm from the binary files
/tmp/test1.key and /tmp/test2.key and writes the
frames and their descriptors to the files test1.sift and
test2.sift respectively.


SEE ALSO 


vlfeat(7).


D. G. Lowe. Distinctive
image features from scale-invariant keypoints. IJCV,
2(60):91-110, 2004.





   

   
 

  
 
   
 
 


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VLFEAT

NAME

DESCRIPTION

FILE SPECIFIERS
(FILESPEC)

SEE ALSO




NAME 


VLFeat −
VisionLab Features Library


DESCRIPTION 


VLFeat is a
collection of computer vision algorithms with a special focus on
image features such as SIFT and MSER.


The functionalities
offered by the library can be accessed either through its API, or
by means of command line and MATLAB programs. See the SEE
ALSO section for a list of the related command line programs
and for a pointer to the general documentation of the library.


FILE SPECIFIERS (FILESPEC) 


Some commands in
VLFeat make use of ‘file specifiers’ to
associate to one or more input files the appropriate
output/auxiliary files. A file specifier is a string such as
‘ascii://%.txt’ and contains two pieces of
information:








•





The file format (in this case ascii). The
supported formats depend on the particular application. Two common
formats are ascii and bin(ary).









•





A name transformation rule (in this case %.txt).
This is used to transform the name an input file into the name of
the corresponding output/auxiliary file. The transformed name is
comput by extracting the basename of the input file substituting it
to all occurences of the wildcard characer ‘%’ in the
transformation rule (‘%%’) passes the wildcard
character untouched.







Recall that the
basename of a file name is obtained by stripping the directory
prefix (everything from the beginning up to the last
‘/’ or ‘\’ character) and extension
(everything from the last ‘.’ characeter (excluding the
prefix) to the end).


For instance, the
filespec ‘ascii://%.txt’ and the input file
‘test.data’ specify a file named ‘test.txt’
in ascii (text) format.


Partial file
specifiers

Normally, a program provides default values for its file
specifiers. In this case, partial file specifier (with only the
file format or the name transformation rule are acceptable).


File specifiers
equivalent to a file name

A partial specifier such as ‘file.txt’ is in effect
equivalent to the file name ‘file.txt’. If the
specifier is used in conjunction with multiple input files, this
causes the same file to be accessed multile times.


SEE ALSO 


sift(1),
mser(1)


A. Vedaldi and B.
Fulkerson. VLFeat Library. http://www.vlfeat.org/





   

   
 

  
 
   
 
 


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AIB
GEOMETRY
IMOP
KMEANS
MISC
MSER
PLOTOP
QUICKSHIFT
    

  • vl_flatmap Flatten a tree, assigning the label of the root to each node
  • vl_imseg Color an image based on the segmentation
  • vl_quickseg Produce a quickshift segmentation of a grayscale or color image
  • vl_quickshift Quick shift image segmentation
  • vl_quickvis Create an edge image from a Quickshift segmentation.

SIFT
SLIC
SPECIAL

vlfeat-0.9.16/doc/mdoc.build/vl_aib.html000066400000000000000000000064111203326130700177760ustar00rootroot00000000000000


PARENTS = VL_AIB(PCX) runs Agglomerative Information Bottleneck
(AIB) on the class-feature co-occurrence matrix PCX and returns a
vector PARENTS representing the sequence of compressed AIB
alphabets.


PCX is the joint probability of the occurrence of the class label
C and the feature value X. PCX has one row for each class label
and one column for each feature value, non negative entires and
sums to one. AIB iteratively merges the pair of feature values
that decreases the mutual information I(X,C) the least. This
compresses the alphabet of the discrete random variable X in such
a way that the new variable is still informative about C.


Merge operations are represented by a binary tree. The nodes of
the tree correspond to the original feature values and any other
value obtained by merging.


The vector PARENTS represents the merge tree. The nodes are
numbered in breadth-first order, starting from the leaves. The
numbers associated to the tree leaves correspond to the original
feature values (so the first leaf has number one and correspond to
the first feature value).  In total there are 2*M-1 nodes, where M
is the number of feature values (the number of columns of
PCX). The internal nodes are numbered according to the order in
which AIB generates them. It is therefore possible to recover from
the tree the state of the AIB algorithm at each step (see also
VL_AIBCUT()). PARENTS is a UINT32 array with one element for each
tree node storing the index of the parent node. The root parent is
conventionally set to 1.


Feature values with null probability (null columns of the PCX
matrix) are ignored by the AIB algorithm and the corresponding
entries in the PARENTS vectors are set to zero. Notice that this
causes the root of the tree to have index smaller of 2*M-1
(PARENTS has still 2*M-1 entries, but the last portion is
zero-padded).


Alternatively, the option ClusterNull can be used to assign the
null probability values to a special value. The result is similar
to pretending that the null probability nodes have indeed very
small probability, uniform across categories.


[PARENTS, COST] = VL_AIB(...) returns the values COST of the cost
function being optimized by AIB (i.e. the mutual information
I(X,C)). COST has M column. The first column is the initial value
of the cost function. The others correspond to the cost after each
of the M-1 merges. If less than M-1 merges are performed, the rest
of the vector is filled with NaNs.


VL_AIB() accepts the following options:


Verbose


If specified, increase verbosity level.


ClusterNull


If specified, do not signal null nodes; instead cluster them.


See also: VL_AIBCUT(), VL_AIBHIST(), VL_AIBCUTHIST(),
VL_AIBCUTPUSH(), VL_HELP().


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CUT = VL_AIBCUT(PARENTS, N) cuts the binary merge tree PARENTS and
returns a cut CUT of N nodes. The format of PARENTS is the same
used by the VL_AIB() function.


A cut is a set of N nodes such that no node is a descendant of any
other node in the cut and such that all leaves descend from a node
in the cut. The vector CUT lists the nodes of the binary merge tree
PARENT that form the cut.


Nodes with null parent (as defined by PARENTS) are included in the
cut if the other nodes are not enough to fill a cut of N elements.


[CUT, MAP] = VL_AIBCUT(...) returns a vector MAP with the same size
as PARENTS. MAP assigns each node below or in the cut to the
corresponding element in the CUT vector (each element above the cut
or with null parent is mapped to 0). To get the index of the
corresponding cut nodes use CUT(MAP). MAP can be used to quantize
the leaves in a sequences of N contiguous indexes, starting from
one (see also VL_AIBCUTPUSH()).


[CUT, MAP, SHORT] = VL_AIBCUT(...) returns also a vector SHORT that
represents a version of the PARENTS tree where nodes below the cut
are short-circuitied to link to the corresponding cut ancestors
directly. Null parents are left unchanged, except if the
corresponding node is in the cut (in which case the map-to-itself
rule has the precedence).


See also: VL_HELP(), VL_AIB().


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HIST = VL_AIBCUTHIST(MAP, X) computes the histogram of the data X
using the compressed alphabet specified by a cut MAP of the AIB
tree (as returned by VL_AIBCUT()). Each element of HIST counts how
many elements of X are projected to the corresponding cut node
(encoding the compressed alphabet).


Data are mapped to bins as specified by VL_AIBCUTPUSH(). Data mapped
to the null node are dropped.


VL_AIBCUTHIST() accepts the following options:


Nulls
[drop]

What to do of null nodes: drop ('drop'), accumulate to an
extra bin at the end of HIST ('append'), or accumulate to
the first bin ('first')


See also: VL_AIB(), VL_HELP().


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Y = VL_AIBCUTPUSH(MAP, X) maps the data X to elements of the AIB
cut specified by MAP.


The function is equivalent to Y = MAP(X).


See also: VL_HELP(), VL_AIB().


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H = VL_AIBHIST(PARENTS, DATA) computes the histogram of the data
points DATA on the VL_AIB tree defined by PARENTS. Each element of
DATA indexes one of the leaves of the VL_AIB tree.


H = VL_AIBHIST(PARENTS, DATA, 'HIST') treats DATA as an histograms.
In this case each compoment of DATA is the number of occurences of
the VL_AIB leaves corresponding to that component.


H has the same dimension of parents and counts how many data points
are descendent of the corresponding node of the VL_AIB tree.


See also: VL_HELP(), VL_AIB(), VL_AIBCUTPUSH().


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D = VL_ALLDIST2(X,Y) returns the pairwise distance matrix D of the
columns of S1 and S2, yielding

  D(i,j) = sum (X(:,i) - Y(:,j)).^2


VL_ALLDIST2(X) returns the pairwise distance matrix fo the columns of
S, yielding

  D(i,j) = sum (X(:,i) - X(:,j)).^2


VL_ALLDIST2(...,'METRIC') changes the computed distance. Supported
values for METRIC are

 METRIC  D(i,j)
 --------------------------------------------------------
  LINF   max |X  - Y|
  L2     sum (X  - Y).^2
  L1     sum |X  - Y|
  L0     sum (X ~= Y)
  CHI2   sum (X  - Y).^2 ./ (X + Y)
  HELL   sum (X^.5 - Y^.5) .^ 2


(Notice that the standard definition of chi2 is half of what is
computed here).


VL_ALLDIST2(...,'KERNEL') computes the following 'kernels' K:

 KERNEL  K(i,j)
 ---------------------------------------------------------
  KL2    sum X .* Y
  KL1    sum min (X, Y)
  KCHI2  2 * sum (X .* Y) ./ (X + Y)
  KHELL  (X .* Y) .^ 0.5


The constant are chosen so that D(i,j) = K(i,i) + K(j,j) - 2 K(i,j)
where D is the metric corresponding to the kenrel (if the arguments
are non-negative vectors). Each kernel can be interpreted as the
inner product inducing the corresponding metric in an embedding of
the real space into an approrpiate reproducing Kenrel Hilbert
space.


VL_ALLDIST2() supports several storage classes. X and Y must have the
same storage class. The sotrage class of D is promoted to reduce
the chance of overvlow, but this is not checked.

  X & Y class      D class
 ---------------------------
  UINT8            UINT32
   INT8             INT32
  UINT16           UINT32
   INT16            INT32
  UINT32           UINT32
   INT32            INT32
  SINGLE           SINGLE
  DOUBLE           DOUBLE


Warning: Both chi2 and kchi2 use integer math when presented with
integer data types. This can easily result in zeros where you did
not expect them.


See also: VL_HELP().


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STRINGS = VL_ALPHANUM(STRINGS) sorts the cell array of strings
STRINGS by using the Alphanum algorithm [1]. [STRINGS,PERM] =
VL_ALPHANUM(...) returns the corresponding permutation PERM as
well.


Example


Alphanum sorts strings in a way that 'makes sense'. For instance

 strings = {'B1', 'B2', 'B12', 'A12', 'A1', 'A2'} ;
 sorted = vl_alphanum(strings) ;


produces the sorted array {'A1', 'A2', 'A12', 'B1', B2',
'B12'}. By contrast, SORT() produces the array {'A1', 'A12',
'A2', 'B1', B12', 'B2'} (note the position of the elements
'A12', 'B12').


References:
[1] Dave Koelle, 'The Alphanum Algorithm',
http://www.davekoelle.com/alphanum.html


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CONF = VL_ARGPARSE(CONF, ARGS) updates the structure CONF based on
the specified parameter-value pairs ARGS={PAR1, VAL1, ... PARN,
VALN}. The function produces an error if an unknown parameter name
is passed in.


[CONF, ARGS] = VL_ARGPARSE(CONF, ARGS) copies any parameter in
ARGS that does not match CONF back to ARGS instead of producing an
error.


Example


The function can be used to parse a list of arguments
passed to a MATLAB functions:

  function myFunction(x,y,z,varargin)
  conf.parameterName = defaultValue ;
  conf = vl_argparse(conf, varargin)


If only a subset of the options should be parsed, for example
because the other options are interpreted by a subroutine, then
use the form

 [conf, varargin] = vl_argparse(conf, varargin)


that copies back to VARARGIN any unknown parameter.


See also: VL_OVERRIDE(), VL_HELP().


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IDX = VL_BINSEARCH(B, X) maps the elements of X to the bins
defined by B. B is a non-decreasing vector of M real numbers
defining bins [-inf, B(1)), [B(1), B(2)), ... [B(M) +inf] (note
that the last bin contains +inf). The bins are numbered from 0 to
M. X is a real (plain) array and IDX is an array with the same
dimensions of X, specifying the bin correpsonding to each element
of X.


If B(1) = -inf the bin number 0 is removed and the bin number 1 is
[-inf B(2)). If B(M) = +inf, the last bin M is the singleton +inf.


See also: VL_BINSUM(), VL_HELP().


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ACCUMULATOR = VL_BINSUM(ACCUMULATOR,VALUES,INDEXES) adds the
elements of the array VALUES to the elements of the array
ACCUMULATOR indexed by INDEXES. VALUES and INDEXES must have the
same dimensions, and the elements of INDEXES must be valid indexes
for the array ACCUMULATOR (except for null indexes, which are
silently skipped). An application is the calculation of a
histogram ACCUMULATOR, where INDEXES are the bin occurences and
VALUES are the occurence weights.


VL_BINSUM(...,DIM) operates only along the specified dimension
DIM. In this case, ACCUMULATOR, VALUES and INDEXES are array of
the same dimensions, except for the dimension DIM of ACCUMULATOR,
which may differ, and INDEXES is an array of subscripts of the
DIM-th dimension of ACCUMULATOR. A typical application is the
calculation of multiple histograms, where each histogram is a
1-dimensional slice of the array ACCUMULATOR along the dimension
DIM.


VALUES can also be a scalar. In this case, the value of VALUES is
summed to all the specified bins.


ACCUMULATOR and VALUES must have the same storage
class. ACCUMULATOR, VALUES, and INDEXES can be either DOUBLE,
SINGLE, UINT64, INT64, UINT32, INT32, UINT16, INT16, UINT8,
INT8. Integer math uses modulo-2 arithmetic (most MATLAB functions
saturate instead).


Example


The following relations illustrate VL_BINSUM() behavior:

  VL_BINSUM([0 0],  1, 2) = [0 1]
  VL_BINSUM([1 7], -1, 1) = [0 7]
  VL_BINSUM(EYE(3), [1 1 1], [1 2 3], 1) = 2*EYE(3)


See also: VL_HELP().


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VL_CF() creates a copy of the current figure and returns VL_CF(H0)
creates a copy of the figure(s) whose handle is H0.  H =
VL_CF(...) returns the handles of the copies.


See also: VL_HELP().


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P=VL_CLICK() let the user click a point in the current figure and
returns its coordinates in P. P is a two dimensiona vectors where
P(1) is the point X-coordinate and P(2) the point Y-coordinate. The
user can abort the operation by pressing any key, in which case the
empty matrix is returned.


P=VL_CLICK(N) lets the user select N points in a row. The user can
stop inserting points by pressing any key, in which case the
partial list is returned.


VL_CLICK() accepts the following options:


PlotMarker
[0]

Plot a marker as points are selected. The markers are deleted on
exiting the function.


See also: VL_CLICKPOINT(), VL_HELP().


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SEL = VL_CLICKPOINT(V) let the user vl_click a point in the current
figure and returns the index v of the closest point (in Euclidean
norm) in the collection V. The 2xK matrix V has a a column for
each point.


The user can abort the operation by pressing any key. In this case
the function returns the empty matrix.


VL_CLICKPOINT(V,N) selects N points in a row. The user can stop the
selection at any time by pressing any key. In this case the
partial selection is returned. This can be used in combination
with N=inf to get an arbitrary number of points.


VL_CLICKPOINT() accepts the following options:


PlotMarker
[0]

Put a marker as points are selected. The markers are deleted on
exiting the function.


See also: VL_CLICK(), VL_HELP().


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[P1,P2] = VL_CLICKSEGMENT() lets the user select a segment in the
current figure and returns the starting and ending point P1 and P2.


The user can abort the operation by pressing any key. In this case
the function returns the empty matrix.


See also: VL_CLICK(), VL_CLICKPOINT(), VL_HELP().


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Y = VL_COLSUBSET(X, N) returns a random subset Y of N columns of
X. The selection is order-preserving and without replacement. If N
is larger or equal to the number of columns of X (e.g. N = Inf),
then the function returns all the columns (i.e., Y = X).


If 0 < N < 1, then the function returns a fraction N of the
columns (rounded to the closest integer).


[Y, SEL] = VL_COLSUBSET(...) returns the indexes SEL of the
selected columns.


The function accepts the following options:


Beginning


Returns the fist N columns.


Ending


Returns the last N columns.


Random
[default]

Returns N columns selected at random (using RANDPERM()).


Uniform


Returns N uniformly spaced columns.


Largest


Returns the N largest columns (using SORTROWS()).


Smallest


Returns the N smallest columns (using SORTROWS()).


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VL_COMPILE() uses MEX() to compile VLFeat MEX files. This command
works only under Windows and is used to re-build problematic
binaries. The preferred method of compiling VLFeat on both UNIX
and Windows is through the provided Makefiles.


VL_COMPILE() only compiles the MEX files and assumes that the
VLFeat DLL (i.e. the file VLFEATROOT/bin/win{32,64}/vl.dll) has
already been built. This file is built by the Makefiles.


By default VL_COMPILE() assumes that Visual C++ is the active
MATLAB compiler. VL_COMPILE('lcc') assumes that the active
compiler is LCC instead (see MEX -SETUP). Unfortunately LCC does
not seem to be able to compile the latest versions of VLFeat due
to bugs in the support of 64-bit integers. Therefore it is
recommended to use Visual C++ instead.


See also: VL_NOPREFIX(), VL_HELP().


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VL_COVDET() implements a number of co-variant feature detectors
(e.g., DoG, Harris-Affine, Harris-Laplace) and allow to compute
corresponding feature descriptors (SIFT, raw patches).


F = VL_COVDET(I) detects upright scale and translation covariant
features based on the Difference of Gaussian (Dog) cornerness
measure from image I (a grayscale image of class SINGLE). F is in
the format of oriented ellipse feature frames (see VL_PLOTFRAME()
for the definition) even if features are only scale-invariant
(discs or oriented discs).


VL_COVDET(I, 'Method', METHOD) allows using one of the
following methods instead:


DoG


The Difference of Gaussians is an approximate version of the
multiscale trace of Laplacian operator [1].


Hessian


Determinant Hessian operator [2].


HessianLaplace


Determinant of Hessian for space localisation, trace of
Laplacian for scale detection [2].


HarrisLaplace


Harris cornerness measure for space localisation, trace
of Laplacian for scale detection [2].


MultiscaleHessian


Same as HessianLaplace, but Laplacian scale detection is not
performend (features are simply detected at multiple scales) [2].


MultiscaleHarris


Same as HarrisLaplace, but Laplacian scale detection is not
performend (features are simply detected at multiple scales) [2].


The number of detected features is affected by the
'PeakThreshold', which sets the minimum absolute vale of the
cornerness measure to accept a feature. A larger threshold select
fewer features. To adjust the threshold, the score of the detected
features can be obtained in the INFO structure (see later).


Features can also be filtered by setting the 'EdgeThreshold'
parameters, which sets an upper bound on the ratio of the maxium
over the minium curvature of the cornerness measure at the
detected location. The idea is that unbalanced curvatures
correspond to features detected along image edges, and should
therefore be discarded as spatially unstable.


VL_COVDET(..., 'EstimateAffineShape', true) switches on affine
adaptation, which attempts to estimate the affine co-variant shape
of each feature based on the algorihtm of [2].


VL_COVDET(..., 'EstimateOrientations', true) switches on the
estimation of the orientation of features (which are therefore not
upright anymore) []. Note that more than one orientation can be
associated to each feature, creating copies of them.


VL_COVDET(..., 'Frames', F) allows to specify user defined frames
F. This skips detection, but estimating the affine shape or the
orietnations can still be applied. Moreover, descriptors for these
frames can be computed.


[F,D] = VL_COVDET(I, ...) computes the SIFT descriptors [1] for
the detected features. Each column of D is the descriptor of the
corresponding frame in F. A descriptor is a 128-dimensional vector
of class SINGLE. The same format of VL_SIFT() is used. SIFT
features are computed on normalised image patches that are
affected by the parameters explained next (for example, to comptue
SIFT on a larger measurement reagion, increase the value of
PatchRelativeExtent.


[F,D] = VL_COVDET(I, 'descriptor', 'patch') can be used to extract
raw patches instead of SIFT descriptors. In this case, each column
of D is a stacked square image patch. The following parameters
can be used to control the produced patches:


PatchResolution
15

The size of the patch R in pixel. Specifically, the patch is a
square of side 2*R+1 pixels.


PatchRelativeExtent
7.5

The extent E of the patch in the feature frame. A feature F
define a mapping from the feature reference frame to the image
reference frame as an affine transformation A,T (see
VL_PLOTFRAME()). The patch is a square [-E, E]^2 in this frame
(transform this square by A,T to find the extent in the image).


PatchRelativeSigma: 1.0

  The smoothing SIGMA of the patch in the patch frame. The
  computed patch can be thought as being obtained by first
  warping the image (as a continous signal) by A,T, then
  smoothing the results by SIGMA, and then sampling.


[F,D,INFO] = VL_COVDET(...) returns an additiona structure INFO
with the following members:


info.peakScores


The peak scores of the detected features.


info.edgeScores


The edge scores of the detected features.


info.gss


The Gaussian scale space (see VL_PLOTSS()).


info.css


The cornerness measure scale space (see VL_PLOTSS()).


The function supports the following options:


OctaveResolution
3

The number of scale levels sampled per octave when constructing
the scale spaces.


DoubleImage
true

Whether to double the image before extracting features. This
allows to detect features at a smoothing level of 0.5 and up
rathern than 1.0 and up, resulting in many more small
features being detected.


Verbose


If specified, it incerases the verbosity level.


REFERENCES


[1] D. G. Lowe, Distinctive image features from scale-invariant
keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.


[2] K. Mikolajcyk and C. Schmid, An affine invariant interest
point detector. ICCV, vol. 2350, pp. 128-142, 2002.


See also: VL_SIFT(), VL_PLOTFRAME(), VL_PLOTSS(), VL_HELP().


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If X is a vector, VL_CUMMAX(X) is the vector with the cumulative
maximum of X. If X is a matrix, VL_CUMMAX(X) is the matrix of the
cumulative maximum of the columns of X. If X is a multi-dimensional
array, VL_CUMMAX(X) operates along the first non-singleton
dimension.


The function is analogous to CUMSUM() and CUMPROD(), but it
computes the cumulative maximum rather than the cumulative sum or
product.


The array X can be of any numeric class.


Example


The cumulative maximum VL_CUMMAX([1 2 3 2 1]) is the vector
[1 2 3 3 3].


See also: CUMSUM(), CUMPROD(), VL_HELP().


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Y=VL_DDGAUSSIAN(X) computes the second derivative of the standard
Gaussian density.


To obtain the second derivative of the Gaussian density of
standard deviation S, do

  Y = 1/S^3 * VL_DDGAUSSIAN(X/S) .


See also: VL_GAUSSIAN(), VL_DGAUSSIAN(), VL_HELP().


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VL_DEMO runs all VLFeat demos in a row, exporting figures for
the documentation. Edit this file to see a list of the vailable
demos, or look into the toolbox/demo directory.


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[MISSRATE, FALSEALRAM] = VL_DET(LABELS, SCORES) computes the
Detection Error Trade-off (DET) curve for the given set LABELS and
SCORES. The function is a simple wrapper to VL_ROC(LABELS,
SCORES). In fact, MISSRATE is simply the false positive rate and
FALSEARALM the false negative rate returned by VL_ROC().


VL_DET(...) without output arguments plots the curves in the
current axis. Note that the DET curves use logarithmic axis.


VL_DET(..., OPT, ARG, ...) accepts the same options as VL_ROC().


REFERENCES:
[1] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and
M. Przybocki. The DET curve in assessment of detection task
performance. In Proc. Conf. on Speech Communication and Technology,
1997.


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Y=VL_DGAUSSIAN(X) evaluates the derivative of the standard Gaussian
density.


To obtain the Gaussian density of standard deviation S, do

  Y = 1/S^2 * VL_DGAUSSIAN(X/S) .


See also: VL_GAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().


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[FRAMES,DESCRS] = VL_DSIFT(I) extracts a dense set of SIFT
keypoints from image I. I must be of class SINGLE and grayscale.
FRAMES is a 2 x NUMKEYPOINTS, each colum storing the center (X,Y)
of a keypoint frame (all frames have the same scale and
orientation). DESCRS is a 128 x NUMKEYPOINTS matrix with one
descriptor per column, in the same format of VL_SIFT().


VL_DSIFT() does NOT compute a Gaussian scale space of the image
I. Instead, the image should be pre-smoothed at the desired scale
level, e.b. by using the VL_IMSMOOTH() function.


The scale of the extracted descriptors is controlled by the option
SIZE, i.e. the width in pixels of a spatial bin (recall that a
SIFT descriptor is a spatial histogram with 4 x 4 bins).


The sampling density is controlled by the option STEP, which is
the horizontal and vertical displacement of each feature cetner to
the next.


The sampled image area is controlled by the option BOUNDS,
defining a rectangle in which features are comptued. A descriptor
is included in the rectangle if all the centers of the spatial
bins are included. The upper-left descriptor is placed so that the
uppler-left spatial bin center is algined with the upper-left
corner of the rectangle.


By default, VL_DSIFT() computes features equivalent to
VL_SIFT(). However, the FAST option can be used to turn on an
variant of the descriptor (see VLFeat C API documentation for
further details) which, while not strictly equivalent, it is much
faster.


VL_DSIFT() accepts the following options:


Step
[1]

Extracts a SIFT descriptor each STEP pixels.


Size
[3]

A spatial bin covers SIZE pixels.


Bounds
[whole image]

Specifies a rectangular area where descriptors should be
extracted. The format is [XMIN, YMIN, XMAX, YMAX]. If this
option is not specified, the entiere image is used.  The
bounding box is clipped to the image boundaries.


Norm


If specified, adds to the FRAMES ouptut argument a third
row containint the descriptor norm, or engergy, before
contrast normalization. This information can be used to
suppress low contrast descriptors.


Fast


If specified, use a piecewise-flat, rather than Gaussian,
windowing function. While this breaks exact SIFT equivalence,
in practice is much faster to compute.


FloatDescriptors


If specified, the descriptor are returned in floating point
rather than integer format.


Verbose


If specified, be verbose.


RELATION TO THE SIFT DETECTOR


In the standard SIFT detector/descriptor, implemented by
VL_SIFT(), the size of a spatial bin is related to the keypoint
scale by a multiplier, called magnification factor, and denoted
MAGNIF. Therefore, the keypoint scale corresponding to the
descriptors extracted by VL_DSIFT() is equal to SIZE /
MAGNIF. VL_DSIFT() does not use MAGNIF because, by using dense
sampling, it avoids detecting keypoints in the first plance.


VL_DSIFT() does not smooth the image as SIFT does. Therefore, in
order to obtain equivalent results, the image should be
pre-smoothed approriately. Recall that in SIFT, for a keypoint of
scale S, the image is pre-smoothed by a Gaussian of variance S.^2
- 1/4 (see VL_SIFT() and VLFeat C API documentation).


Example


This example produces equivalent SIFT descriptors using
VL_DSIFT() and VL_SIFT():

 binSize = 8 ;
 magnif = 3 ;
 Is = vl_imsmooth(I, sqrt((binSize/magnif)^2 - .25)) ;

 [f, d] = vl_dsift(Is, 'size', binSize) ;
 f(3,:) = binSize/magnif ;
 f(4,:) = 0 ;
 [f_, d_] = vl_sift(I, 'frames', f) ;


Remark


The equivalence is never exact due to (i) boundary effects
and (ii) the fact that VL_SIFT() downsamples the image to save
computation. It is, however, usually very good.


Remark


In categorization it is often useful to under-smooth the image,
comared to standard SIFT, in order to keep the gradients
sharp.


FURTHER DETAILS ON THE GEOMETRY


As mentioned, the VL_DSIFT() descriptors cover the bounding box
specified by BOUNDS = [XMIN YMIN XMAX YMAX]. Thus the top-left bin
of the top-left descriptor is placed at (XMIN, YMIN). The next
three bins to the right are at XMIN + SIZE, XMIN + 2*SIZE, XMIN +
3*SIZE. The X coordiante of the center of the first descriptor is
therefore at (XMIN + XMIN + 3*SIZE) / 2 = XMIN + 3/2 * SIZE.  For
instance, if XMIN = 1 and SIZE = 3 (default values), the X
coordinate of the center of the first descriptor is at 1 + 3/2 * 3
= 5.5. For the second descriptor immediately to its right this is
5.5 + STEP, and so on.


See also: VL_SIFT(), VL_HELP().


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Y = VL_DSIGMOID(X) returns the derivative of VL_SIGMOID(X). This is
calculated as - VL_SIGMOID(X) * (1 - VL_SIGMOID(X)).


See also: VL_SIGMOID(X), VL_HELP().


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[DWX,DWY]=VL_DWAFFINE(X,Y) returns the derivative of the 2-D affine
warp [WX; WY] = [A T] [X; Y] with respect to the parameters A,T
computed at points X,Y.


See also: VL_WAFFINE(), VL_HELP().


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MEMBERS=VL_ERFILL(I,ER) returns the list MEMBERS of the pixels which
belongs to the extremal region represented by the pixel ER.


The selected region is the one that contains pixel ER and of
intensity I(ER).


I must be of class UINT8 and ER must be a (scalar) index of the
region representative point.


See also: VL_MSER(), VL_HELP().


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F = VL_ERTR(F) transposes the frames F as returned by VL_MSER(). This
conversion is required as the VL_MSER algorithm considers the column
index I as the frist image index, while according standard image
convention the first coordinate is the abscissa X.


See also: VL_MSER(), VL_HELP().


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VL_FIGASPECT(A) sets the current figure aspect ratio to A. It
leaves the length of the shortest side unaltered. Both the
screen and paper positions are affected.


See also: VL_PRINTSIZE(), VL_HELP().


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[LABELS CLUSTERS] = VL_FLATMAP(MAP) labels each tree of the forest contained
in MAP. LABELS contains the linear index of the root node in MAP, CLUSTERS
instead contains a label between 1 and the number of clusters.


See also: VL_HELP().


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Y=VL_GAUSSIAN(X) computes the standard (zero mean, unit variance)
Gaussian density.


To obtain the Gaussian density of standard deviation S do

  Y = 1/S * VL_GAUSSIAN(X/S).


See also: VL_DGAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().


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VL_GETPID() returns MATLAB process ID.


Algorithm


VL_GETPID() returns the result of the getpid() system call on
UNIX-like operating systems and of GetCurrentProcessID() on
Windows.


See also: VL_HELP().


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[IX,IY] = VL_GRAD(I) returns the gradient components IX,IY of the
2-D discrete function I. I must be a two-dimensional
matrix. VL_GRAD() computes the gradient by using finite
differences; specifically, it uses central differences for all but
the boundary pixels, for which it uses forward/backward
differences as appropriate.


Remark


VL_GRAD() is similar to the MATLAB built-in GRADIENT() function,
excepts that it supports different gradient approximations.


VL_GRAD() accepts the following options:


Type
central

Specify which type of finite differences to use for all but the
boundary samples. TYPE can be one of 'central', 'forward', or
'backward'.


See also: GRADIENT(), VL_HELP().


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H = VL_HARRIS(I,SI) computes the Harris corner strength of the image I
at ``integration'' scale SI.


The Harris strength [1] of a pixel is a statistic of the gradient
of the image integrated in a neighborhood of that pixel. This
neighborhood is a Gaussian window of variance SI.


In computing the Harris corner strength, there is a second scale
parameter, the ``derivation'' scale SD, which is the variance of
the Gaussian kernel used to pre-smooth the image I before computing
its gradient. SI and SD are independent parameters and VL_HARRIS(I,SI)
assumes that I is already smoothed at level SD.


VL_HARRIS(I,SI) uses Noble's variation [2] of the Harris score. If
SIGMAP and SIGMAM are respectively the biggest and smallest
eigenvalue of the structure tensor at a pixel, the score is given
by (SIGMAP*SIGMAM) / (SIGMAP+SIGMAM/2).  Let GAMMA = SIGMAM/SIGMAP
the ratio between the eigenvalues, which measures the degree of
anisotropy of the tensor and is always comprised in the range
[0,1].  Noble's score can be decomposed in two factors: the biggest
eigenvalue SIGMAP and the number

  RHO = (2 GAMMA) / (GAMMA + 1).


RHO is another measure of isotropy that has value one for a
symmetric tensor and and zero for maximally anisotropic tensor.
[H,DETAILS] = VL_HARRIS(I,SIGMA) returns the additional structure
DETAILS with the following fields:

  DETAILS.SIGMAP
  DETAILS.RHO


VL_HARRIS(I,SI,ALPHA) uses Harris' original score [1], defined to be
SIGMAP*SIGMAM - ALPHA*(SIGMAP+SIGMAM)^2. This can be decomposed in
the factors SIGMAP^2 (note the square) and

  RHO = GAMMA - ALPHA (1+GAMMA)^2.


Note that RHO is equal to -ALPHA for a maximally anisotropic
tensor. Typically ALPHA=0.04 and this is what is used by
VL_HARRIS(I,SI,[]).


REMARK. The gradient of the image I, used to compute the structure
tensor, is computed using central differencies. This means that a
function line [+1,-1,+1,...] has null Harris' score. This is
generally assumed to be a sampling artifact, and might be
avoided by oversampling the image.


EXAMPLE


To extacts Harris points from image I:

  idx = vl_localmax( vl_harris( vl_imsmooth( I, sd ), si ) ) ;
  [i,j] = ind2sub( size(I), idx )


REFERENCES


[1] C. Harris and M. Stephens, "A combined corner and edge detector,"
in Proceedings of The Fourth Alvey Vision Conference, pp. 147-151,
1988.


[2] J. A. Noble, "Finding corners, "Image Vision Computing, vol. 6,
no. 2, pp. 121-128, 1988.


See also: VL_HELP().


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H = VL_HAT(OM) returns the skew symmetric matrix by taking the "hat"
of the 3D vector OM.


See also: VL_IHAT(), VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_help.html000066400000000000000000000013461203326130700201750ustar00rootroot00000000000000


The VLFeat MATLAB toolbox provides implementations of common
computer vision algorithms (HOG, SIFT, dense SIFT, MSER, AIB,
KMEANS, learning large scale SVMs...) and many utility functions
(e.g. precision-recall, ROC, DET curve calculation, plotting
functions). To get started:

  • 
Type vl_help doc

  • 
Type vl_help online

  • 
Use the help command to get information about any VLFeat function

  • 
Directly check the documentation online: http://www.vlfeat.org


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[TREE,ASGN] = VL_HIKMEANS(DATA,K,NLEAVES) applies recursive integer
K-menas to cluster the data DATA, returing a structure TREE
representing the clusters and a vector ASGN with the data to
cluster assignments. The depth of the recursive partition is
computed so that at least NLEAVES are generated.


VL_HIKMEANS() is built on top of VL_IKMEANS() and requires the data to
be of class UINT8.


TREE is a structure representing the hierarchical clusters.  Each
node of the tree is also a structure with fields:


DEPTH


Depth of the tree (only at the root node)


CENTERS


K cluster centers


SUB


Array of K node structures representing subtrees
(this field is missing at leaves).


ASGN is a matrix with one column per datum and height equal to the
depth of the tree. Each column encodes the branch of the tree that
correspond to each datum.


Example


ASGN(:,7) = [1 5 3] means that the tree as depth equal to 3 and
that the datum X(:,7) corresponds to the branch
ROOT->SUB(1)->SUB(5)->SUB(3).


See also: VL_HIKMEANSPUSH(), VL_HIKMEANSHIST(), VL_IKMEANS(), VL_HELP().


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H = VL_HIKMEANSHIST(TREE,PATH) computes the histogram of the HIKM tree
nodes activated by the root-to-leaf paths PATH. PATH is usually
obtained by quantizing data by means of VL_HIKMEANSPUSH().


The histogram H has one bin for each node of the HIKM tree TREE.
The tree has K = TREE.K nodes and depth D = TREE.DEPTH.  Therefore
there are M = (K^(D+1) - 1) / (K - 1) nodes in the tree (not
counting the root which carries no information). Nodes are stacked
into a vector of bins in breadth first order.


Example


The following relations illustrate the structure of PATH:

  H(1)   = # of paths such that PATH(1,:) = 1
  H(K)   = # of paths such that PATH(1,:) = K
  H(K+1) = # of paths such that PATH(1:2,:) = [1 ; 1]
  H(K+K) = # of paths such that PATH(1:2,:) = [1 ; K]


See also: VL_HIKMEANS(), VL_HIKMEANSPUSH(), VL_HELP().


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PATH = VL_HIKMEANSPUSH(TREE,X) quanizes the data X with the
hierachical integer K-means tree TREE. This is obtained by
calculating the path of each datum from the root of TREE down to a
leaf. Here X has a datum for each column and each column of PATH
represents the corresponding root-to-leaf path.


Example


PATH(:,1) = [2 1 4] means that the first datum follows
the branches number 2, 1 and 4 starting from the root of the
HIKM tree ending to a leaf.


See also: VL_HIKMEANS(), VL_HELP().


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H = VL_HISTMARG(H, DIMS) marginalizes the historgram H w.r.t the
dimensions DIMS. This is done by summing out all dimensions not
listed in DIMS and deleting them.


Remark


If DIMS lists only one dimension, the returned histogram H is a
column vector. Notice that this way of deleting dimensions is
not always consistent with the SQUEEZE function.


See also: VL_HELP().


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HOG = VL_HOG(IM, CELLSIZE) computes the HOG features for image IM
and the specified CELLSIZE. IM can be either grayscale or colour
in SINGLE storage class. HOG is an array of cells: its number
of columns is approximately the number of columns of IM divided
by CELLSIZE and the same for the number of rows. The third
dimension spans the feature compoents.


PERM = VL_HOG('permutation') returns the left-right permutation
to apply to each HOG cell to flip it.


IMAGE = VL_HOG('render', HOG) returns an IMAGE containing an
iconic representation of the array of cells HOG.


Options:


Variant
'UoCTTI'

Choose a HOG variant: 'UoCTTI' or 'Dalal-Triggs'.


NumOrientations
9

Choose a number of undirected orientations in the orientation
histograms. The angle [0,pi) is divided in to NumOrientation
equal parts.


DirectedPolarField


By specifying this flag the image IM is interpreted as samples
from a 2D vector field specified by their argument IM(:,:,2) and
modulus IM(:,:,1).


UndirectedPolarField


Same as above, but wraps angles in [0,pi).


BilinearOrientations


This flags activates the use of bilinear interpolation to assign
orientations to bins. This produces a smoother feature, but is
not some other implementations (e.g. UoCTTI).


Example
computing and visualizing HOG features

hog = vl_hog(im2single(im)) ; % compute HOG features


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V = VL_HOMKERMAP(X, N) computes a 2*N+1 dimensional approximated
kernel map for the Chi2 kernel. X is an array of data points. Each
point is expanded into a vector of dimension 2*N+1 and saved to
the output V. The expanded feature vectors are stacked along the
first dimension, so that the output array V has the same
dimensions of the input array X except for the first one, which is
2*N+1 times larger.


The function accepts the following options:


KChi2


Compute the map for the Chi2 kernel.


KINTERS


Compute the map for the intersection kernel.


KL1


Same as KINTERS, but deprecated as the name is not fully
accurate.


KJS


Compute the map for the JS (Jensen-Shannon) kernel.


Period
[automatically tuned]

Set the period of the kernel specturm. The approximation is
based on periodicizing the kernel specturm. If not specified,
the period is automatically set based on the heuristic described
in [2].


Window
[RECTANGULAR]

Set the window used to truncate the spectrum before The window
can be either RECTANGULAR or UNIFORM window. See [2] and the API
documentation for details.


Gamma
[1]

Set the homogeneity degree of the kernel. The standard kernels
are 1-homogeneous, but sometimes smaller values perform better
in applications. See [2] for details.


Example


The following code results in approximatively the same
similarities matrices between points X and Y:

  x = rand(10,1) ;
  y = rand(10,100) ;
  psix = vl_homkermap(x, 3) ;
  psiy = vl_homkermap(y, 3) ;
  figure(1) ; clf ;
  ker = vl_alldist(x, y, 'kchi2') ;
  ker_ = psix' * psiy ;
  plot([ker ; ker_]') ;


Note


The homogeneous kernels K(X,Y) are normally defined for
non-negative data only. VL_HOMKERMAP defines them for both
positive and negative data by using the definition
SIGN(X)SIGN(Y)K(ABS(X),ABS(Y)) -- note that other extensions are
possible as well (see [2]).


REFERENCES


[1] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
Proc. CVPR, 2010.


[2] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
PAMI, 2011 (submitted).


See also: VL_HELP().


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SEL = VL_IHASHFIND(ID, NEXT, K, X) returns a vector SEL of the
entires in the hash table ID,NEXT,K corresponding to the labels
stored as columns of X.


The format is the same as for the functino VL_IHASHSUM().


See also: VL_IHASHSUM().


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[H,ID,NEXT] = VL_IHASHSUM(H,ID,NEXT,K,X) counts the number of
occurences of the columns of X, accumulating these to the hash
table represented by the tripled H,ID,NEXT.


X is a D x N array of class UINT8 each row of which defines an D
dimensional label. Labels cannot be all zeros.


H and NEXT are 1 x C arrays of class UINT32 and ID is a D x C
array of class UINT8. H is a vector of counts, ID stores, for each
element of H, the corresponding label, and NEXT is a vector of
indexes.


Once constructed, the hash table can be searched by means of the
VL_IHASHFIND() function.


The hash table uses double hashing [1] with an initial size equal
to K (so that C >= K). Given a label X, this is first hashed by
using the FNV algorithm [2] to one of K bucket. If this bucket is
free, it is assigned to label X and the count is incremented.  If
the bucket is already assigned to the same label X, the count is
incremented. If the bucket is already assigned to a different
label, a second hash is used to scan (probe) the table for a free
bucket.


If no free/matching bucket is found (because the hash table is
full) an overflow area containing extra buckets is used. This is
visited by reading off indexe from the NEXT vector, until a
matching bucket is found or the overflow area is enlarged.


Example


The following example counts integer bi-dimensional label
occurences:

  K = 5 ;
  h = zeros(1,K,'uint32') ;
  id = zeros(2,K,'uint8');
  next = zeros(1,K,'uint32') ;
  X = uint8([1 1 ; 1 2 ; 2 1 ; 1 1]') ;
  [h,id,next] = vl_ihashsum(h,id,next,K,X) ;


resulting in

  h = [1 0 1 2 0]
  id = [1    0    2    1    0
        2    0    1    1    0]
  next = [0 0 0 0 0]


For example, [1;2] has a count of 1 and [1;1] has a count of
2. NEXT is zero because there have been no collisions.


REFERENCES


[1] http://en.wikipedia.org/wiki/Double_hashing
[2] http://www.isthe.com/chongo/tech/comp/fnv


See also: VL_IHASHFIND().


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OM = VL_IHAT(H) returns a vector OM such that VL_HAT(OM) = H.
H hast to be 3x3 skew-symmetric.


See also: VL_HAT(), VL_HELP().


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C = VL_IKMEANS(X,K) returns the centers of a K-means paritioning of
the data space X. X must be of class UINT8. C is of class UINT32.


[C, I] = VL_IKMEANS(...) returns the cluster associations I of the
data as well.


VL_IKMEANS() accepts the following options:


MaxPasses
200

Maximum number of iterations before giving up (the algorithm
stops as soon as there is no change in the data to cluster
associations).


Method
Lloyd

Algorithm to use ('Lloyd', 'Elkan').


Verbose


Increase the verbosity level.


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H = VL_IKMEANSHIST(K,ASGN) computes the histogram of the IKM clusters
activated by cluster assignments ASGN.


See also: VL_IKMEANS(), VL_IKMEANSPUSH(), VL_HELP().


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I = VL_IKMEANSPUSH(X,C) projects the data X to the integer K-meanns
clusters of centers C returning the cluster indeces I.


See also: VL_IKMEANS(), VL_HELP().


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J=VL_IMARRAY(A) creates a mosaic J from the array of images A. A
can be either a M*N*K array, storing one gray-scale image per
slice, or a M*N*3*K or M*N*K*3 array, storing a true color RGB
image per slice. The function returns an image J which is a tiling
of the images in the array. Tiles are filled from left to right
and top to bottom.


VL_IMARRAY(...) displays the image J rather than returning it.


VL_IMARRAY() accepts the following options:


Spacing
0

Separate the images by a border of the specified width (the
border is assigned 0 value, which usually corresponds to black).


Layout
empty

Specify a vector [TM TN] with the number of rows and columns of
the tiling. If equal to [] the layout is computed automatically.


Movie
false

Display or return a movie instead of generating a tiling.


CMap
[]

Specify a colormap to construct a movie when the input is an
indexed image array. If not specified, MATLAB default colormap
is used.


Reverse
true

Start filling the mosaic tiles from the bottom rather than from
the top.


See also:VL_IMARRAYSC(), VL_HELP().


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J=VL_IMARRAYSC(A) constructs an image mosaic similar to
J=VL_IMARRAY(A), but it rescales the range of each image in the
array. If A is an array of grayscale images, J will index all the
colors in the current colormap; if A is a true color image, J will
span the range [0,1].


If A is of an integer class, J will be of class single SINGLE class.


VL_IMARRAYSC(...) displays the image J rather than returning it.


VL_IMARRAYSC() accepts the options of VL_IMARRAY() and:


CLim
[]

Rescale the specified range of values rather than the actual
range of each image.


Uniform
[false]

Rescale the range of all the images together, rather than on
an image-by-image basis.


CMap
[]

Use the specified color map as a reference rather than the
current or default one.


Algorithm


CLim is seet to the image range [m, M], where m is the minimum
value of an image and M is the maximum. The image range CLim is
then affinely mapped to the integers from 1 to C, where C is the
number of colors in the colormap, or to the range [0,1] for true
color images. The mapping is done so that the first color is
assigned the first subinterval of length C of the range [m,M]
and so on.


See also: VL_IMARRAY(), VL_HELP(), IMAGE().


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DT = VL_IMDISTTF(I) computes the distance transform of image I.
The distance transform is defined as

    DT(x,y) = min_{u,v} I(u,v) + (u - x)^2 + (v - y)^2.


[D, INDEXES] = VL_IMDISTTF(...) returns a matrix INDEXES that
contains for each pixel (x,y) the index of the pixel (u,v) which
is the minimizer of the distance transform objective.


VL_IMDSITTF(I, PARAM) uses differenet parameters for the
transform:

   DT(u,v) = min_{u,v} I(u,v) + PARAM(1) (u - x - PARAM(2))^2
                              + PARAM(3) (v - y - PARAM(4))^2


The function uses the fast algorithm from [1].


REFERENCES


[1] P. F. Felzenszwalb and D. P. Huttenlocher. Distance transforms
of sampled functions. Technical report, Cornell University, 2004.


See also: VL_HELP().


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J = VL_IMDOWN(I) downsamples the image I by half by discarding
each other pixel.


VL_IMDOWN() accepts the following options:


Method
Sample

'Sample' downsamples the image by discarding
pixels. 'Average' instead averages groups of 2x2 pixels.


See also: VL_IMUP(), VL_HELP().


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[Fx,Fy] = VL_GRAD(F) returns the finite differencies gradient of the
image F. The function uses central differencies and for all but
the boundaries pixels, for which it uses forward/backward
differencies as appropriate.


VL_GRAD(F,'forward') uses only forward differencies (except on the
lower and right boundaries, where backward difference is used).
Similarly, VL_GRAD(F,'backward') uses only backward differencies.


See also: GRADIENT(), VL_HELP().


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J = VL_IMINTEGRAL(I) calculates the integral image J of the image
I.  I must a matrix with DOUBLE, SINGLE, UINT32, or INT32 storage
class. J is given by

 J(i,j) = sum(I(1:i,1:j)).


J has the same size as I and the same storage class.


Example


The following identity holds:

  VL_IMINTEGRAL(ONES(3)) = [ 1 2 3 ;
                             2 4 6 ;
                             3 6 9 ]


See also: VL_HELP().


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IM=VLPATTERN(NAME) returns an instance of the specified
pattern. These stock patterns are useful for testing algoirthms.


All generated patterns are returned as an image of class
DOUBLE. Both gray-scale and colour images have range in [0,1].


VL_IMPATTERN() without arguments shows a gallery of the stock
patterns. The following patterns are supported:


Wedge


The image of a wedge.


Cone


The image of a cone.


SmoothChecker


A checkerboard with Gaussian filtering on top. Use the
option-value pair 'sigma', SIGMA to specify the standard
deviation of the smoothing and the pair 'step', STEP to specfity
the checker size in pixels.


ThreeDotsSquare


A pattern with three small dots and two squares.


UniformNoise


Random i.i.d. noise.


Blobs:

  Gaussian blobs of various sizes and anisotropies.


Blobs1:

  Gaussian blobs of various orientations and anisotropies.


Blob:

  One Gaussian blob. Use the option-value pairs 'sigma',
  'orientation', and 'anisotropy' to specify the respective
  parameters. 'sigma' is the scalar standard deviation of an
  isotropic blob (the image domain is the rectangle
  [-1,1]^2). 'orientation' is the clockwise rotation (as the Y
  axis points downards). 'anisotropy' (>= 1) is the ratio of the
  the largest over the smallest axis of the blob (the smallest
  axis length is set by 'sigma'). Set 'cut' to TRUE to cut half
  half of the blob.


A stock image


Any of 'box', 'roofs1', 'roofs2', 'river1', 'river2', 'spotted'.


All pattern accept a SIZE parameter [WIDTH,HEIGHT]. For all but
the stock images, the default size is [128,128].


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I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
result to a gray scale image (DOUBLE storage class ranging in
[0,1]).


VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).


See also: RGB2DOUBLE(), VL_HELP().


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I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
result to a gray scale image (DOUBLE storage class ranging in
[0,1]).


VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).


See also: RGB2DOUBLE(), VL_HELP().


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J=VL_IMSC(I) scales the range of the gray-scale or color image I to
fit in the interval [0,1].


See also: VL_HELP().


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ISEG = VL_IMSEG(I,LABELS) labels ISEG with the average color from I of
each cluster indicated by LABELS.


See also: VL_HELP().


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J = VL_IMSMOOTH(I,SIGMA) convolves the image I by an isotropic
Gaussian kernel of standard deviation SIGMA.  I must be an array
of doubles. IF the array is three dimensional, the third dimension
is assumed to span different channels (e.g. R,G,B). In this case,
each channel is convolved independently.


VL_IMSMOOTH() accepts the following options:


Kernel


Selects between GAUSSIAN and TRIANGULAR kernels. The triangular
kernel support has 2*SIGMA-1 sampels. Kernels have unit mass.


Padding


Selects between ZERO or CONTINUITY padding method to handle the
image boundaries. ZERO extends the input image with zeroes
around the border, and CONTINUITY extends the image with
constant pixels.


Step


Sets the subsampling step. A subsampling step of STEP pixels
causes J(1:STEPS:end, 1:STEPS:end, :) to be computed. This is
useful to downsample the image.


See also: VL_HELP().


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J=VL_IMUP(I) doubles the resolution of the image I by using
bilinear interpolation.


See also: VL_IMDOWN(), VL_HELP().


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J = VL_IMWBACKWARD(I, X, Y) returns the values of image I at
locations X,Y. X and Y are real matrices of arbitrary but
identical dimensions. I is bilinearly interpolated between samples
and extended with NaNs to the whole real plane.


[J,JX,JY] = VL_IMWBACKWARD(...) returns the warped derivatives JX and
JY too.


By default, VL_IMWBACKWARD() assumes that the image I uses the standard
coordinate system. VL_IMWBACKWARD(XR,YR,I,X,Y) assumes instead that I
is defined on a rectangular grid specified by the vectors XR and
YR.


VL_IMWBACKWARD() is less general than the MATLAB native function
INTERP2(), but it is significantly faster.


See also: IMWFORWARD(), INTERP2(), VL_HELP().


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J = VL_IMWHITEN(I,ALPHA) approximatively whitens the power spectrum
of the natural image I. The algorithm assumes that the modulus of
the spectrum decays as 1/f^ALPHA (f is the frequency).


VL_IMWHITEN(I) uses ALPHA=1 (a typical value for natural images).


VL_IMWHITEN(I,ALPHA,CUTOFF) also applies a low-pass filter with
cutoff frequency equal to CUTOFF x FN, where FN is the Nyquist
frequency (half of the sampling frequency).


See also: VL_HELP().


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INTHIST = VL_INTHIST(LABELS) computes the integral histogram for
the label map(s) LABELS.


LABELS is a [M,N,L] UINT32 array containing L label maps (one for
each MxN layer). Each label map associates to each of the MxN
pixels one of K labels (a value of 0 denotes no association) with
unitary mass.


INTHIST is the [M,N,K] integral histogram obtained by integrating
the label maps (an integral histogram is just an array of K
integral images, one for each of the K labels). All layers of
labels are accumulated to the same integral histogram.


The total number of labels K is obtained as the maximum value of
LABELS. VL_INTHIST(..., 'NUMLABELS', K) specifies the number of
labels explicitly.


VL_INTHIST(..., 'MASS', MASSES) specifies a mass MASSES for each
entry of LABELS. MASSES can be either of class UINT32 or DOUBLE,
and the class of INTHIST varies accordingly.


See also: VL_IMINTEGRAL(), VL_SAMPLEINTHIST(), VL_HELP().


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OM = VL_IRODR(R) where R is a rotation matrix computes the the
inverse Rodrigues' formula of om, returning the rotation matrix R
= dehat(Logm(OM)).


[OM,DOM] = VL_IRODR(R) computes also the derivative of the Rodrigues'
formula. In matrix notation this is the expression

       d( dehat logm(vl_hat(R)) )
  dom = ----------------------.
               d(vec R)^T


[OM,DOM] = VL_IRODR(R) when R is a 9xK matrix repeats the operation
for each column (or equivalently matrix with 9*K elements). In
this case OM and DOM are arrays with K slices, one per rotation.


See also: VL_RODR(), VL_HELP().


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FOREST = VL_KDTREEBUILD(X) returns a structure FOREST containing
the kd-tree indexing the data X. X is a M x N dimensional matrix
of class DOUBLE or SINGLE with one data point per column. Use
VL_KDTREEQUERY() to query the index.


VL_KDETREEBUILD() accepts the following options:


NumTrees
[1]

Specifies the number of semi-randomized KD-trees to add to the
forest. Multiple trees can be used to improve approximate
nearest-neighbors searches with VL_KDTREEQUERY().


ThresholdMethod
[MEDIAN]

Specifies the thresholding method used to split the data.  Two
methods are supported: split around the median (MEDIAN) or split
around the mean (MEAN).


Verbose


Increases the verbosity level (can be repeated).


The FOREST structure has the following fields:


FOREST.TREES


A structure array with one element per tree.


FOREST.DIMENSION


Dimensionality of the indexed data.


FOREST.NUMDATA


Number of indexed data points.


The TREE structure has the following fields:


TREE.NODES


A structure array representing the nodes of the tree.


TREE.DATAINDEX


A 1 x NUMDATA vector of class UINT32 representing a permutation
of the data.


Nodes are numbered from 1 to NUMNODES.  The NODES structure array
has the following fields:


NODES.LOWERCHILD and NODES.UPPERCHILD


1 x NUMNODES vectors of class INT32. A positive value is the
index of the lower/upper child node. A negative value denotes a
leaf and is (after negation) is the first or last element plus
one of a range of entries in the permutation TREE.DATAINDEX.
Such entries are in turn indexes of the data points that belong
to that leaf. Typically there is one point per leaf.


NODES.SPLITDIMENSION and NODES.SPLITTHRESHOLD


1 x NUMNODES vector of class UINT32 and DOUBLE, respectively,
with the index of the splitting dimension and the threshold for
each node.


See also: VL_KDTREEQUERY(), VL_HELP().


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[INDEX, DIST] = VL_KDTREEQUERY(KDTREE, X, Y) computes the nearest
column of X to each column of Y (in Euclidean distance). KDTREE is
a forest of kd-trees build by VL_KDTREEBUILD(). X is a
NUMDIMENSIONS x NUMDATA data matrix of class SINGLE or DOUBLE with
the data indexed by the kd-trees (it must be the same data matrix
passed to VK_KDTREEBUILD() to build the trees). Y is the
NUMDIMENSIONS x NUMQUERIES matrix of query points and must have
the same class of X. INDEX is a 1 x NUMQUERIES matrix of class
UINT32 with the index of the nearest column of X for each column
of Y. DIST is a 1 x NUMQUERIES vector of class SINGLE or DOUBLE
(depending on the class of X and Y) with the corresponding squared
Euclidean distances.


[INDEX, DIST] = VL_KDTREEQUERY(..., 'NUMNEIGHBORS', NN) can be
used to return the N nearest neighbors rather than just the
nearest one. In this case INDEX and DIST are NN x NUMQUERIES
matrices. Neighbors are returned by increasing distance.


VL_KDTREEQUERY(..., 'MAXNUMCOMPARISONS', NCOMP) performs at most
NCOMP comparisons for each query point. In this case the result is
only approximate (i.e. approximated nearest-neighbors, or ANNs)
but the speed can be greatly improved.


Options:


NumNeighbors


Sets the number of neighbors to compute for each query point (by
default 1).


MaxNumComparisons


Sets the maximum number of comparisons per query point. The
special value 0 means unbounded. The default is 0.


See also: VL_KDTREEBUILD(), VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_kmeans.html000066400000000000000000000034601203326130700205220ustar00rootroot00000000000000


[C, A] = VL_KMEANS(X, NUMCENTERS) clusters the columns of the
matrix X in NUMCENTERS centers C using k-means. X may be either
SINGLE or DOUBLE. C has the same number of rows of X and NUMCENTER
columns, with one column per center. A is a UINT32 row vector
specifying the assignments of the data X to the NUMCENTER
centers.


[C, A, ENERGY] = VL_KMEANS(...) returns the energy of the solution
(or an upper bound for the ELKAN algorithm) as well.


KMEANS() supports different initialization and optimization
methods and different clustering distances. Specifically, the
following options are supported:


Verbose


Increase the verbosity level (may be specified multiple times).


Distance
[L2]

Use either L1 or L2 distance.


Initialization


Use either random data points (RANDSEL) or k-means++ (PLUSPLUS)
to initialize the centers.


Algorithm
[LLOYD]

Use either the standard LLOYD or the accelerated
ELKAN algorithm for optimization.


NumRepetitions
[1]

Number of time to restart k-means. The solution with minimal
energy is returned.


Example


VL_KMEANS(X, 10, 'verbose', 'distance', 'l1', 'algorithm',
'elkan') clusters the data point X using 10 centers, l1
distance, and the Elkan's algorithm.


See also: VL_HELP().


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F = VL_LBP(IM, CELLSIZE) computes the Local Binary Pattern (LBP)
features for image I.


IM is divided in cells of size CELLSIZE. F is a three-dimensional
array containing one histograms of quantized LBP features per
cell. The witdh of F is FLOOR(WIDTH/CELLSIZE), where WIDTH is the
width of the image. The same for the height. The third dimension
is 58.


See also: VL_HELP().


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F = VL_LBPFLIPLR(F) flips the LBP features F from left to
right.


Example


The following instructions return results almost identical
assuming that the width of I is exactly divisible by the cell
size:

  F = VL_LBP(FLIPLR(I), 8)
  F_ = VL_LBPFLIPLR(VL_LBP(I), 8)


See also: VL_LBP(), VL_HELP().


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PROPR = VL_LINESPEC2PROP(SPEC) converts the string SPEC to a cell
array of properties PROPR. SPEC is in the format of PLOT().


If SPEC is not in a recognized format, the string SPEC is returned
unaltered as the only element of PROPR.


See also: VL_PLOTFRAME(), PLOT(), VL_HELP().


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SEL=VL_LOCALMAX(F) returns the indexes of the local maximizers of
the Q-dimensional array F.


A local maximizer is an array element whose value is larger than
the value of all its neighbors.  The neighbors of an element
i1...iQ have subscripts j1...jQ such that iq-1 <= jq <= iq
(excluding i1...iQ itself).  For example, if Q=1 the neighbors of
an element are its predecessor and successor in the linear order;
if Q=2, its neighbors are the elements immediately to its north,
south, west, est, north-west, north-est, south-west and south-est
(8-neighborhood).


Points on the boundary of F are ignored (and never selected as
local maximizers).


SEL=VL_LOCALMAX(F,THRESH) accepts an element as a mazimizer only
if it is not smaller than THRESH.


SEL=VL_LOCALMAX(F,THRESH,P) looks for neighbors only in the first
P dimensions of the Q-dimensional array F. This allows to process
F in ``slices''.


Remark


Matrices (2-array) with a singleton dimension are
interpreted as vectors (1-array). So for example VL_LOCALMAX([0 1
0]) and VL_LOCALMAX([0 1 0]') both return 2 as an aswer. However,
if [0 1 0] is to be interpreted as a 1x2 matrix, then the
correct answer is the empty set, as all elements are on the
boundary. Unfortunately MATLAB does not distinguish between
vectors and 2-matrices with a singleton dimension.  To forece
the interpretation of all matrices as 2-arrays, use
VL_LOCALMAX(F,TRESH,2) (but note that in this case the result is
always empty!).


See also: VL_HELP().


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D = VL_MAKETRAININGSET(X, Y) creates a training set struct D, given
the training vectors X and their labels Y. The training set D has
the fields DATA and LABELS.


If the HOMKERMAP option is used, a third field MAP is present in
D. MAP is another struct with the following fields:


order


Order of the homogeneous kernel map.


kernelType


Type of kernel.


windowType


Type of window.


gamma


Value of the parameter GAMMA.


period


Value of the parameter PERIOD.


VL_MAKETRAININGSET() accepts the following options:


HOMKERMAP
[empty]

Specify the use of an Homogeneus Kernel map for the training
data (See [2],[3]). The passed value N is such that a 2*N+1
dimensional approximated kernel map is computed. Each
training data point is expanded online into a vector of
dimension 2*N+1.


KChi2


Compute the map for the Chi2 kernel.


KINTERS


Compute the map for the intersection kernel.


KL1


Same as KINTERS, but deprecated as the name is not fully
accurate.


KJS


Compute the map for the JS (Jensen-Shannon) kernel.


Period
[automatically tuned]

Set the period of the kernel specturm. The approximation is
based on periodicizing the kernel specturm. If not specified,
the period is automatically set based on the heuristic described
in [2].


Window
[RECTANGULAR]

Set the window used to truncate the spectrum before The window
can be either RECTANGULAR or UNIFORM window. See [2] and the API
documentation for details.


Gamma
[1]

Set the homogeneity degree of the kernel. The standard kernels
are 1-homogeneous, but sometimes smaller values perform better
in applications. See [2] for details.


Example


VL_MAKETRAININGSET must be used together with VL_SVMPEGASOS,

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(x,y) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;


See also: VL_SVMPEGASOS(), VL_HOMKERMAP(), VL_HELP().


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R=VL_MSER(I) computes the Maximally Stable Extremal Regions (MSER)
[1] of image I with stability threshold DELTA. I is any array of
class UINT8. R is a vector of region seeds.


A (maximally stable) extremal region is just a connected component
of one of the level sets of the image I.  An extremal region can
be recovered from a seed X as the connected component of the level
set {Y: I(Y) <= I(X)} which contains the pixel o index X.


The function supports images of arbitrary dimension D.


[R,F]=VL_MSER(...) also returns ellipsoids F fitted to the regions.
Each column of F describes an ellipsoid; F(1:D,i) is the center of
the elliposid and F(D:end,i) are the independent elements of the
co-variance matrix of the ellipsoid.


Ellipsoids are computed according to the same reference frame of I
seen as a matrix. This means that the first coordinate spans the
first dimension of I.


Notice that for 2-D images usually the opposite convention is used
(i.e. the first coordinate is the x-axis, which corresponds to the
column index). Thus, if the function VL_PLOTFRAME() is used to plot
the ellipses, the frames F should be `transposed' as in F = F([2
1 5 4 3],:). VL_ERTR() exists for this purpose.


VL_MSER(I,'Option'[,Value]...) accepts the following options


Delta
[5]

Set the DELTA parameter of the VL_MSER algorithm. Roughly
speaking, the stability of a region is the relative variation
of the region area when the intensity is changed of +/-
Delta/2.


MaxArea
[0.75]

Set the maximum area (volume) of the regions relative to
the image domain area (volume).


MinArea
[3 / numPixels]

Set the minimum area (volume) of the regions relative to
the image domain area (volume).


MaxVariation
[0.25]

Set the maximum variation (absolute stability score) of the
regions.


MinDiversity
[0.2]

Set the minimum diversity of the region. When the relative
area variation of two nested regions is below this threshold,
then only the most stable one is selected.


BrightOnDark
[1]

Detect bright-on-dark MSERs. This corresponds to MSERs of the
inverted image.


DarkOnBright
[1]

Detect dark-on-bright MSERs. This corresponds to MSERs of the
original image.


Verbose


Be verbose.


REFERENCES


[1] J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust wide
baseline stereo from maximally stable extremal regions," in
Proc. BMVC, 2002.


See also: VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_noprefix.html000066400000000000000000000011601203326130700210710ustar00rootroot00000000000000


VL_NOPREFIX() creats prefix-less stubs for VLFeat functions
(e.g. SIFT for VL_SIFT). This function is seldom used as the stubs
are included in the VLFeat binary distribution anyways. Moreover,
on UNIX platforms, the stubs are generally constructed by the
Makefile.


See also: VL_COMPILE(), VL_HELP().


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D = VL_NUMDER(FUNC, X) computes the numerical derivative of the
function FUNC at point X. X is a real array and is passed as first
argument of FUNC.


D = VL_NUMDER(FUNC, X, ARG1, ARG2, ...) passes ARG1, ARG2, ...  as
additional arguments to the function FUNC.


See also: VL_NUMDER2(), VL_HELP().


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D = VL_NUMDER2(FUNC, X) computes the numerical second derivative of
the function FUNC at point X.


D = VL_NUMDER2(FUNC, X, ARG1, ARG2, ...) allow to pass extra
parameters to the function FUNC.


See also: VL_NUMDER(), VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_override.html000066400000000000000000000035741203326130700210710ustar00rootroot00000000000000


CONFIG = VL_OVERRIDE(CONFIG, UPDATE) copies recursively the fileds
of the structure UPDATE to the corresponding fields of the
struture CONFIG.


Usually CONFIG is interpreted as a list of paramters with their
default values and UPDATE as a list of new paramete values.


VL_OVERRIDE(..., 'Warn') prints a warning message whenever: (i)
UPDATE has a field not found in CONFIG, or (ii) non-leaf values of
CONFIG are overwritten.


VL_OVERRIDE(..., 'Skip') skips fields of UPDATE that are not found
in CONFIG instead of copying them.


VL_OVERRIDE(..., 'CaseI') matches field names in a
case-insensitive manner.


Remark


Fields are copied at the deepest possible level. For instance,
if CONFIG has fields A.B.C1=1 and A.B.C2=2, and if UPDATE is the
structure A.B.C1=3, then VL_OVERRIDE() returns a strucuture with
fields A.B.C1=3, A.B.C2=2. By contrast, if UPDATE is the
structure A.B=4, then the field A.B is copied, and VL_OVERRIDE()
returns the structure A.B=4 (specifying 'Warn' would warn about
the fact that the substructure B.C1, B.C2 is being deleted).


Remark


Two fields are matched if they correspond exactly. Specifically,
two fileds A(IA).(FA) and B(IA).FB of two struct arrays A and B
match if, and only if, (i) A and B have the same dimensions,
(ii) IA == IB, and (iii) FA == FB.


See also: VL_ARGPARSE(), VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_pegasos.html000066400000000000000000000150761203326130700207130ustar00rootroot00000000000000


W = VL_PEGASOS(X, Y, LAMBDA) learns a linear SVM W given training
vectors X, their labels Y, and the regularization parameter LAMBDA
using the PEGASOS [1] solver. The algorithm finds a minimizer W of
the objective function

  LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))


where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
the number of training vectors in X.


[W B INFO] = VL_SVMPEGASOS(X, Y, LAMBDA) learns a linear SVM W
and a bias B given training vectors X, their labels Y, and the
regularization parameter LAMBDA using the PEGASOS [1]
solver. INFO is a struct containing the input parameters plus
diagnostic informations:


energy


SVM energy value.


iterations


Number of iterations performed.


elapseTime


Elapsed time since the start of the SVM learning.


regulizerTerm


Value of the SVM regulizer term.


lossPos


Value of loss function only for data points labeled positives.


lossNeg


Value of loss function onlt for data points labeled negatives.


hardLossPos


Number of mislabeled positive points.


hardLossNeg


Number of mislabeled negative points.


ALGORITHM. PEGASOS is an implementation of stochastic subgradient
descent. At each iteration a data point is selected at random, the
subgradient of the cost function relative to that data point is
computed, and a step is taken in that direction. The step size is
inversely proportional to the iteration number. See [1] for
details.


VL_SVMPEGASOS() accepts the following options:


Epsilon
[empty]

Specify the SVM stopping criterion threshold. If not
specified VL_SVMPEGASOS will finish when the maximum number
of iterations is reached. The stopping criterion is tested
after each ENERGYFREQ iteration.


MaxIterations
[10 / LAMBDA]

Sets the maximum number of iterations.


BiasMultiplier
[0]

Appends to the data X the specified scalar value B. This
approximates the training of a linear SVM with bias.


StartingModel
[null vector]

Specify the initial value for the weight vector W.


StartingIteration
[1]

Specify the iteration number to start from. The only effect
is to change the step size, as this is inversely proportional
to the iteration number.


StartingBias
[0]

Specify the inital bias value.


BiasLearningRate
[1]

Specify the frequency of the bias learning. The default
setting updates the bias at each iteration.


Permutation
[empty]

Specify a permutation PERM to be used to sample the data (this
disables random sampling). Specifically, at the T-th iteration
the algorithm takes a step w.r.t. the PERM[T']-th data point,
where T' is T modulo the number of data samples
(i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
bijective. This allows specifying certain data points more or
less frequently, implicitly increasing their relative weight in
the error term. A common application is to balance an unbalanced
dataset.


DiagnosticFunction
[empty]

Specify a function handle to be called every ENERGYFREQ iterations.


DiagnosticCallRef
[empty]

Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.


EnergyFreq
[100]

Specify how often the SVM energy is computed.


HOMKERMAP
[empty]

Specify the use of an Homogeneus Kernel map for the training
data (See [2],[3]). The passed value N is such that a 2*N+1
dimensional approximated kernel map is computed. Each
training data point is expanded online into a vector of
dimension 2*N+1.


KChi2


Compute the map for the Chi2 kernel.


KINTERS


Compute the map for the intersection kernel.


KL1


Same as KINTERS, but deprecated as the name is not fully
accurate.


KJS


Compute the map for the JS (Jensen-Shannon) kernel.


Period
[automatically tuned]

Set the period of the kernel specturm. The approximation is
based on periodicizing the kernel specturm. If not specified,
the period is automatically set based on the heuristic described
in [2].


Window
[RECTANGULAR]

Set the window used to truncate the spectrum before The window
can be either RECTANGULAR or UNIFORM window. See [2] and the API
documentation for details.


Gamma
[1]

Set the homogeneity degree of the kernel. The standard kernels
are 1-homogeneous, but sometimes smaller values perform better
in applications. See [2] for details.


Verbose


Be verbose.


Example


The options StartingModel and StartingIteration can be used
to continue training. I.e., the command

  vl_twister('state',0) ;
  w = vl_pegasos(x,y,lambda,'NumIterations',1000) ;


produces the same result as the sequence

  vl_twister('state',0) ;
  w = vl_pegasos(x,y,lambda,'NumIterations',500) ;
  w = vl_pegasos(x,y,lambda,'NumIterations',500, ...
                 'StartingIteration', 501, ...
                 'StartingModel', w) ;


REFERENCES


[1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
SVM. MBP, 2010.


[2] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
Proc. CVPR, 2010.


[3] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
PAMI, 2011 (submitted).


See also: VL_HOMKERMAP(), VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_phow.html000066400000000000000000000044651203326130700202270ustar00rootroot00000000000000


[FRAMES, DESCRS] = VL_PHOW(IM) extracts PHOW features from the
image IM. This function is a wrapper around VL_DSIFT() and
VL_IMSMOOTH().


The PHOW descriptors where introduced in [1]. By default,
VL_PHOW() computes the gray-scale variant of the descriptor.  The
COLOR option can be used to compute the color variant instead.


Verbose
[false]

Set to true to turn on verbose output.


Sizes
[[4 6 8 10]]

Scales at which the dense SIFT features are extracted. Each
value is used as bin size for the VL_DSIFT() function.


Fast
[true]

Set to false to turn off the fast SIFT features computation by
VL_DSIFT().


Step
[2]

Step (in pixels) of the grid at which the dense SIFT features
are extracted.


Color
[GRAY]

Choose between GRAY (PHOW-gray), RGB, HSV, and OPPONENT
(PHOW-color).


ContrastThreshold
[0.005]

Contrast threshold below which SIFT features are mapped to
zero. The input image is scaled to have intensity range in [0,1]
(rather than [0,255]) and this value is compared to the
descriptor norm as returned by VL_DSIFT().


WindowSize
[1.5]

Size of the Gaussian window in units of spatial bins.


Magnif
[6]

The image is smoothed by a Gaussian kernel of standard deviation
SIZE / MAGNIF.


FloatDescriptors
[false]

If set to TRUE, the descriptors are returned in floating point
format.


See also: VL_DSIFT(), VL_HELP().


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VL_PLOTFRAME(FRAME) plots the frames FRAME.  Frames are attributed
image regions (as, for example, extracted by a feature detector). A
frame is a vector of D=2,3,..,6 real numbers, depending on its
class. VL_PLOTFRAME() supports the following classes:

 * POINTS
   + FRAME(1:2)   coordinates

 * CIRCLES
   + FRAME(1:2)   center
   + FRAME(3)     radius

 * ORIENTED CIRCLES
   + FRAME(1:2)   center
   + FRAME(3)     radius
   + FRAME(4)     orientation

 * ELLIPSES
   + FRAME(1:2)   center
   + FRAME(3:5)   S11, S12, S22 such that ELLIPSE = {x: x' inv(S) x = 1}.

 * ORIENTED ELLIPSES
   + FRAME(1:2)   center
   + FRAME(3:6)   stacking of A such that ELLIPSE = {A x : |x| = 1}


H = VL_PLOTFRAME(...) returns the handle of the graphical object
representing the frames.


VL_PLOTFRAME(FRAMES) where FRAMES is a matrix whose column are
FRAME vectors plots all frames simultaneously. Using this call is
much faster than calling VL_PLOTFRAME() for each frame.


VL_PLOTFRAME(FRAMES,...) passes any extra argument to the
underlying plot function. The first optional argument can be a line
specification string such as the one used by PLOT().


See also: VL_HELP().


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VL_PLOTGRID(X,Y) plots a grid with vertices (X,Y). X and Y are MxN
matrices, with one entry per vertex.


H=VL_PLOTGRID(...) returns the handle to the grid object.


See also: VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_plotpoint.html000066400000000000000000000016411203326130700212730ustar00rootroot00000000000000


VL_PLOTPOINT(V) plots the 2 or 3 dimensional points V. V is a 2xK or
3xK array, with one point per column.


H=VL_PLOTPOINT(...) returns the handle H of the plot.


VL_PLOTPOINT() is a simple wrapper around the PLOT() and PLOT3()
functions. By default, VL_PLOTPOINT(V) plots the points with line
style '.'.  VL_PLOTPOINT(V,...) does not use the default line style;
rather it passess any extra argument to the underlying plot
function.


See also: PLOT(), PLOT3(), VL_HELP().


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VL_PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptors D, stored as
columns of the matrix D. D has the same format used by VL_SIFT().


VL_PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warped to
the SIFT frames F, specified as columns of the matrix F. F has the
same format used by VL_SIFT().


H=VL_PLOTSIFTDESCRIPTOR(...) returns the handle H to the line drawing
representing the descriptors.


REMARK. By default, the function assumes descriptors with 4x4
spatial bins and 8 orientation bins (Lowe's default.)


The function supports the following options


NumSpatialBins
[4]

Number of spatial bins in each spatial direction.


NumOrientBins
[8]

Number of orientation bis.


Magnif
[3]

Magnification factor.


See also: VL_SIFT(), VL_PLOTFRAME(), VL_HELP().


vlfeat-0.9.16/doc/mdoc.build/vl_plotss.html000066400000000000000000000053701203326130700205720ustar00rootroot00000000000000


VL_PLOTSS(SS) plots the scale space SS. SS is a structure
with the following members:


ss.firstOctave


The index of the first octave in the scale space.


ss.lastOctave


The index of the last octave in the scale space.


ss.octaveResolution


The octave resolution, i.e. the nubmer of subdivisions
per octave.


ss.octaveFirstLevel


The index of the first level of subdivisions for each octave.


ss.octaveLastLevel


The iundex of last leve of subdivisions for each cotave.


ss.data


A cell array of 3D arrays representing the scale space data.
The cell array has a length equal to the nubmer of octaves
contained in the scale space. Each entry is a 3D array, the
first two dimensions of which correspond to image rows and
columns respectively, and the third to scale levels.


ss.sigma0


Base smoothing.


A scale space is a representation of a 2D signal (image) at
multiple scales. In the simplest case, a scale SIGMA is defined as
the input image I(x,y) convolved by a Gaussian kernel of isotropic
standard deviation SIGMA:

  I(x,y;sigma) = (g_sigma * I)(x,y)


where scales are sampled as follows:

  sigma(o,s) = sigma0 2^{o + s / ss.octaveResolution),
  ss.firstOctave <= o <= ss.lastOctave,
  ss.octaveFirstLeve <= s <= ss.octaveLastLevel.


Moving from one octave to the next, the size of the kernel
doubles. Hence the effective bandwith of the signal halves, and
resolution can be reduced by half. Typically, for example, sigma0
= 1.6, so at octave 0 the image can be effectively sampled with a
step of 1, and the resolution of octave 0 is the same as the one
at which the input image is presented. Then at octave o the
sampling step is 2^o.


ss.octaveResolution is the number of scale subdivisions per
octave. ss.firstOctave and ss.lastOctave give the additional
flexibility of specifying a range for the level index s to exceed
the standard setting [0, ss.octaveResolution-1]. In this manner
the same scales can be represented twice, at two sampling
rates. This is often convenient in feature computation (e.g. to
find local maxima in scale of a function).


VL_PLOTSS(SS, 'Option', value) supports the following options:


Uniform
false

If TRUE then use a fixed gray scale for all the levels.


vlfeat-0.9.16/doc/mdoc.build/vl_plotstyle.html000066400000000000000000000025111203326130700212770ustar00rootroot00000000000000


STYLES = VL_PLOTSTYLE(INDEX) returns a cell array of PLOT() options
for the color/line style of index INDEX. The available styles are
defined the ColorOrder and LineStyleOrder properties of the
current axes and cycled first by color and then by line style.


If there is no current axes can be found, then VL_PLOTSTYLE() uses
the DefaultAxesColorOrder and DefaultLineStyleOrder root
properties.


If INDEXES has more than one element, then VL_PLOTSTYLE(INDEXES)
returns a cell array of styles of the same size of INDEXES.


Example


The code fragment

   set(gca,'LineStyleOrder', {'-','-.'}, 'NextPlot', 'replacechildren') ;
   plot([1 2], [1:20 ; 1:20]') ;


and

  set(gca,'NextPlot', 'replacechildren') ;
  set(gca,'LineStyleOrder', {'-','-.'}) ;
  for i = 1:20
    style = vl_plotstyle(i) ;
    plot([1 2], [i i], style{:}) ;
    hold on ;
  end


produce visually similar results.


See also: VL_HELP().


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[RECALL, PRECISION] = VL_PR(LABELS, SCORES) computes the
precision-recall (PR) curve. LABELS are the ground truth labels,
greather than zero for a positive sample and smaller than zero for
a negative one. SCORES are the scores of the samples obtained from
a classifier, where lager scores should correspond to positive
samples.


Samples are ranked by decreasing scores, starting from rank 1.
PRECISION(K) and RECALL(K) are the precison and recall when
samples of rank smaller or equal to K-1 are predicted to be
positive and the remaining to be negative. So for example
PRECISION(3) is the percentage of positive samples among the two
samples with largest score. PRECISION(1) is the precision when no
samples are predicted to be positive and is conventionally set to
the value 1.


Set the zero the lables of samples that should be ignored in the
evaluation. Set to -INF the scores of samples which are not
retrieved. If there are samples with -INF score, then the PR curve
may have maximum recall smaller than 1, unless the INCLUDEINF
option is used (see below). The options NUMNEGATIVES and
NUMPOSITIVES can be used to specify additional samples with -INF
score (see below).


[RECALL, PRECISION, INFO] = VL_PR(...) returns an additional
structure INFO with the following fields:


info.auc


The area under the precision-recall curve. If the INTERPOLATE
option is set to FALSE, then trapezoidal interpolation is used
to integrate the PR curve. If the INTERPOLATE option is set to
TRUE, then the curve is piecewise constant and no other
approximation is introduced in the calculation of the area. In
the latter case, INFO.AUC is the same as INFO.AP.


info.ap


Average precision as defined by TREC. This is the average of the
precision observed each time a new positive sample is
recalled. In this calculation, any sample with -INF score
(unless INCLUDEINF is used) and any additional positive induced
by NUMPOSITIVES has precision equal to zero. If the INTERPOLATE
option is set to true, the AP is computed from the interpolated
precision and the result is the same as INFO.AUC. Note that AP
as defined by TREC normally does not use interpolation [1].


info.ap_interp_11


11-points interpolated average precision as defined by TREC.
This is the average of the maximum precision for recall levels
greather than 0.0, 0.1, 0.2, ..., 1.0. This measure was used in
the PASCAL VOC challenge up to the 2008 edition.


info.auc_pa08


Deprecated. It is the same of INFO.AP_INTERP_11.


VL_PR(...) with no output arguments plots the PR curve in the
current axis.


VL_PR() accepts the following options:


Interpolate
false

If set to true, use interpolated precision. The interpolated
precision is defined as the maximum precision for a given recall
level and onwards. Here it is implemented as the culumative
maximum from low to high scores of the precision.


NumPositives
[]

NumNegatives
[]

If set to a number, pretend that LABELS contains this may
positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
smaller than the actual number of positive/negative entrires in
LABELS. The additional positive/negative labels are appended to
the end of the sequence, as if they had -INF scores (not
retrieved). This is useful to evaluate large retrieval systems
for which one stores ony a handful of top results for efficiency
reasons.


IncludeInf
false

If set to true, data with -INF score SCORES is included in the
evaluation and the maximum recall is 1 even if -INF scores are
present. This option does not include any additional positive or
negative data introduced by specifying NUMPOSITIVES and
NUMNEGATIVES.


Stable
false

If set to true, RECALL and PRECISION are returned the same order
of LABELS and SCORES rather than being sorted by decreasing
score (increasing recall). Samples with -INF scores are assigned
RECALL and PRECISION equal to NaN.


About the PR curve


This section uses the same symbols used in the documentation of
the VL_ROC() function. In addition to those quantities, define:

  PRECISION(S) = TP(S) / (TP(S) + FP(S))
  RECALL(S) = TPR(S) = TP(S) / P


The precision is the fraction of positivie predictions which are
correct, and the recall is the fraction of positive labels that
have been correctly classified (recalled). Notice that the recall
is also equal to the true positive rate for the ROC curve (see
VL_ROC()).


REFERENCES:
[1] C. D. Manning, P. Raghavan, and H. Schutze. An Introduction to
Information Retrieval. Cambridge University Press, 2008.


See also VL_ROC(), VL_HELP().


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VL_PRINTSIZE(R) sets the PaperPosition property of the current
figure so that the width of the figure is the fraction R of a
'uslsetter' page. It also sets the PaperSize property to tightly
match the figure size. In this way, printing to any format crops
the figure similar to what printing to EPS would do.


VL_PRINTSIZE(FIG,R) opearates on the specified figure FIG.


This command is useful to resize a figure before printing it so
that elements are scaled appropriately to match the desired figure
size in print. The function accepts the following optional
arguments:


Aspect
[]

Change the figure aspect ratio (widht/height) to the specified
value.


Reference
'vertical'

If set to 'horizontal' the ratio R is the widht of the figure
over the width of the page. If 'vertical', the ratio R is the
height of the figure over the height of the page.


PaperType
'letter'

Set the type (size) of the reference paperReference. Any of the
paper types supported by MATLAB can be used (see PRINT())).


See also: VL_HELP().


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[ISEG LABELS MAPS GAPS E] = VL_QUICKSEG(I, RATIO, KERNELSIZE, MAXDIST)


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Quick shift is a mode seeking algorithm which links each pixel to
its nearest neighbor which has an increase in the estimate of the
density. These links form a tree, where the root of the tree is
the pixel which correspond to the highest mode in the image.


[MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) computes quick shift on the
image I. KERNELSIZE is the bandwidth of the Parzen window estimator of
the density. Since searching over all pixels for the nearest
neighbor which increases the density would be prohibitively
expensive, MAXDIST controls the maximum L2 distance between neighbors
that should be linked. MAP and GAP represent the resulting forest
of trees. They are array of the same size of I.  Each element
(pixel) of MAP is and index to the parent elemen in the forest and
GAP contains the corresponding branch length. Pixels which are at
the root of their respective tree have MAP(x) = x and GAPS(x) =
inf.


[MAP,GAPS,E] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) also returns the estimate
of the density E.


[MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE) uses a default MAXDIST of 3 * KERNELSIZE.


Notes


The distance between pixels is always measured in image
coordinates (not normalized), so the importance of the color
component should be weighted accordingly before calling this
function.


Options:


Verbose


Toggles verbose output.


Medoid


Run medoid shift instead of quick shift.


See also: VL_HELP().


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IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge
stability image from a Quickshift segmentation. RATIO controls the tradeoff
between color consistency and spatial consistency (See VL_QUICKSEG) and
KERNELSIZE controls the bandwidth of the density estimator (See VL_QUICKSEG,
VL_QUICKSHIFT). MAXDIST is the maximum distance between neighbors which
increase the density.


VL_QUICKVIS takes at most MAXCUTS thresholds less than MAXDIST, forming at
most MAXCUTS segmentations. The edges between regions in each of these
segmentations are labeled in IEDGE, where the label corresponds to the
largest DIST which preserves the edge.


[IEDGE,DISTS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) also
returns the DIST thresholds that were chosen.


IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, DISTS) will use the DISTS
specified


[IEDGE,DISTS,MAP,GAPS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS)
also returns the MAP and GAPS from VL_QUICKSHIFT.


See Also: VL_QUICKSHIFT(), VL_QUICKSEG(), VL_HELP().


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Y = VL_RCOS(R,X) computes the RCOS function with roll-off R.


See also: VL_HELP().


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J=VL_RGB2XYZ(I) converts the CIE RGB image I to the image J in
CIE XYZ format. CIE RGB has a white point of R=G=B=1.0


VL_RGB2XYZ(I,WS) uses the specified RGB working space WS. The
function supports the following RGB working spaces:

  • 
`CIE'    E illuminant, gamma=2.2

  • 
`Adobe'  D65 illuminant, gamma=2.2


The default workspace is CIE.


See also: VL_XYZ2RGB(), VL_HELP().


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[TPR,TNR] = VL_ROC(LABELS, SCORES) computes the Receiver Operating
Characteristic (ROC) curve. LABELS are the ground truth labels,
greather than zero for a positive sample and smaller than zero for
a negative one. SCORES are the scores of the samples obtained from
a classifier, where lager scores should correspond to positive
labels.


Samples are ranked by decreasing scores, starting from rank 1.
TPR(K) and TNR(K) are the true positive and true negative rates
when samples of rank smaller or equal to K-1 are predicted to be
positive. So for example TPR(3) is the true positive rate when the
two samples with largest score are predicted to be
positive. Similarly, TPR(1) is the true positive rate when no
samples are predicted to be positive, i.e. the constant 0.


Set the zero the lables of samples that should be ignored in the
evaluation. Set to -INF the scores of samples which are not
retrieved. If there are samples with -INF score, then the ROC curve
may have maximum TPR and TNR smaller than 1.


[TPR,TNR,INFO] = VL_ROC(...) returns an additional structure INFO
with the following fields:


info.auc
Area under the ROC curve (AUC).

The ROC curve has a `staircase shape' because for each sample
only TP or TN changes, but not both at the same time. Therefore
there is no approximation involved in the computation of the
area.


info.eer
Equal error rate (EER).

The equal error rate is the value of FPR (or FNR) when the ROC
curves intersects the line connecting (0,0) to (1,1).


VL_ROC(...) with no output arguments plots the ROC curve in the
current axis.


VL_ROC() acccepts the following options:


Plot
[]

Setting this option turns on plotting unconditionally. The
following plot variants are supported:


tntp
Plot TPR against TNR (standard ROC plot).

tptn
Plot TNR against TPR (recall on the horizontal axis).

fptp
Plot TPR against FPR.

fpfn
Plot FNR against FPR (similar to DET curve).

NumPositives
[]

NumNegatives
[]

If set to a number, pretend that LABELS contains this may
positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
smaller than the actual number of positive/negative entrires in
LABELS. The additional positive/negative labels are appended to
the end of the sequence, as if they had -INF scores (not
retrieved). This is useful to evaluate large retrieval systems in
which one stores ony a handful of top results for efficiency
reasons.


About the ROC curve


Consider a classifier that predicts as positive all samples whose
score is not smaller than a threshold S. The ROC curve represents
the performance of such classifier as the threshold S is
changed. Formally, define

  P = overall num. of positive samples,
  N = overall num. of negative samples,


and for each threshold S

  TP(S) = num. of samples that are correctly classified as positive,
  TN(S) = num. of samples that are correctly classified as negative,
  FP(S) = num. of samples that are incorrectly classified as positive,
  FN(S) = num. of samples that are incorrectly classified as negative.


Consider also the rates:

  TPR = TP(S) / P,      FNR = FN(S) / P,
  TNR = TN(S) / N,      FPR = FP(S) / N,


and notice that by definition

  P = TP(S) + FN(S) ,    N = TN(S) + FP(S),
  1 = TPR(S) + FNR(S),   1 = TNR(S) + FPR(S).


The ROC curve is the parametric curve (TPR(S), TNR(S)) obtained
as the classifier threshold S is varied in the reals. The TPR is
also known as recall (see VL_PR()).


The ROC curve is contained in the square with vertices (0,0) The
(average) ROC curve of a random classifier is a line which
connects (1,0) and (0,1).


The ROC curve is independent of the prior probability of the
labels (i.e. of P/(P+N) and N/(P+N)).


REFERENCES:
[1] http://en.wikipedia.org/wiki/Receiver_operating_characteristic


See also: VL_PR(), VL_DET(), VL_HELP().


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R = VL_RODR(OM) where OM a 3-dimensional column vector computes the
Rodrigues' formula of OM, returning the rotation matrix R =
expm(vl_hat(OM)).


[R,DR] = VL_RODR(OM) computes also the derivative of the Rodrigues
formula. In matrix notation this is the expression

        d(vec expm(vl_hat(OM)) )
  dR = ----------------------.
               d om^T


[R,DR]=VL_RODR(OM) when OM is a 3xK matrix repeats the operation for
each column (or equivalently matrix with 3*K elements). In this
case R and DR are arrays with K slices, one per rotation.


See also: VL_IRODR(), VL_HELP().


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PATH = VL_ROOT() returns the path to the VLFeat installation.


See also: VL_SETUP(), VL_HELP().


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HISTS = VL_SAMPLINTHIST(INTHIST, BOXES) samples the integral
histogram INTHIST to obtain the histograms of the specified
BOXES.


INTHIST is a MxNxK array, where M x N are ``spatial'' dimensions,
and K is the number of histogram bins. INTHIST may be of class
UINT32 or DOUBLE.


Each box is a four dimensional vector [IMIN JMIN IMAX JMAX]' of
class UINT32 and correspond to the index set [IMIN, IMAX] x [JMIN,
JMAX]. To specify an empty box, let IMIN > IMAX.


HISTS stores one histogram per column (one for each box) and has K
rows, one for each histogram bin. HIST is of the same class of
INTHIST.


See also: VL_INTHIST(), VL_IMINTEGRAL(), VL_HELP().


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PATH = VL_SETUP() adds the VLFeat Toolbox to MATLAB path and
returns the path PATH to the VLFeat package.


VL_SETUP('NOPREFIX') adds aliases to each function that do not
contain the VL_ prefix. For example, with this option it is
possible to use SIFT() instead of VL_SIFT().


VL_SETUP('TEST') or VL_SETUP('XTEST') adds VLFeat unit test
function suite. See also VL_TEST().


VL_SETUP('QUIET') does not print the greeting message.


See also: VL_ROOT(), VL_HELP().


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F = VL_SIFT(I) computes the SIFT frames [1] (keypoints) F of the
image I. I is a gray-scale image in single precision. Each column
of F is a feature frame and has the format [X;Y;S;TH], where X,Y
is the (fractional) center of the frame, S is the scale and TH is
the orientation (in radians).


[F,D] = VL_SIFT(I) computes the SIFT descriptors [1] as well. Each
column of D is the descriptor of the corresponding frame in F. A
descriptor is a 128-dimensional vector of class UINT8.


VL_SIFT() accepts the following options:


Octaves
[maximum possible]

Set the number of octave of the DoG scale space.


Levels
[3]

Set the number of levels per octave of the DoG scale space.


FirstOctave
[0]

Set the index of the first octave of the DoG scale space.


PeakThresh
[0]

Set the peak selection threshold.


EdgeThresh
[10]

Set the non-edge selection threshold.


NormThresh
[-inf]

Set the minimum l2-norm of the descriptors before
normalization. Descriptors below the threshold are set to zero.


Magnif
[3]

Set the descriptor magnification factor. The scale of the
keypoint is multiplied by this factor to obtain the width (in
pixels) of the spatial bins. For instance, if there are there
are 4 spatial bins along each spatial direction, the
``side'' of the descriptor is approximatively 4 * MAGNIF.


WindowSize
[2]

Set the variance of the Gaussian window that determines the
descriptor support. It is expressend in units of spatial
bins.


Frames
[not specified]

If specified, set the frames to use (bypass the detector). If
frames are not passed in order of increasing scale, they are
re-orderded.


Orientations


If specified, compute the orietantions of the frames overriding
the orientation specified by the 'Frames' option.


Verbose


If specfified, be verbose (may be repeated to increase the
verbosity level).


REFERENCES


[1] D. G. Lowe, Distinctive image features from scale-invariant
keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.


See also: VL_UBCMATCH(), VL_DSIFT(), VL_HELP().


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D = VL_SIFTDESCRIPTOR(GRAD, F) calculates the SIFT descriptors of
the keypoints F on the pre-processed image GRAD. GRAD is a 2xMxN
array. The first layer GRAD(1,:,:) contains the modulus of
gradient of the original image modulus. The second layer
GRAD(2,:,:) contains the gradient angle (measured in radians,
clockwise, starting from the X axis -- this assumes that the Y
axis points down). The matrix F contains one column per keypoint
with the X, Y, SGIMA and ANLGE parameters.


In order to match the standard SIFT descriptor, the gradient GRAD
should be calculated after mapping the image to the keypoint
scale. This is obtained by smoothing the image by a a Gaussian
kernel of variance equal to the scale of the keypoint.
Additionaly, SIFT assumes that the input image is pre-smoothed at
scale 0.5 (this roughly compensates for the effect of the CCD
integrators), so the amount of smoothing that needs to be applied
is slightly less. The following code computes a standard SIFT
descriptor by using VL_SIFTDESCRIPTOR():

  I_       = vl_imsmooth(im2double(I), sqrt(f(3)^2 - 0.5^2)) ;
  [Ix, Iy] = vl_grad(I_) ;
  mod      = sqrt(Ix.^2 + Iy.^2) ;
  ang      = atan2(Iy,Ix) ;
  grd      = shiftdim(cat(3,mod,ang),2) ;
  grd      = single(grd) ;
  d        = vl_siftdescriptor(grd, f) ;


Remark


The above fragment generates results which are very close
but not identical to the output of VL_SIFT() as the latter
samples the scale space at finite steps.


Remark


For object categorization is sometimes useful to compute
SIFT descriptors without smoothing the image.


Options:


Magnif
[3]

Magnification factor (see VL_SIFT()).


NormThresh
[-inf]

Set the minimum l2-norm of the descriptors before
normalization. Descriptors below the threshold are set to zero.


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Y = VL_SIGMOID(X) returns

 Y = 1 ./ (1 + EXP(X)) ;


Remark


Useful properties of the sigmoid function are:


See also: VL_DSIGMOID(), VL_HELP().


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VL_SIMDCTRL() returns TRUE if VLFeat SIMD optimizations are enabled
and FALSE otherwise.


VL_SIMDCTRL(TRUE) enables VLFeat SIMD optimizations. VL_SIMDCTRL(FALSE)
disables them.


See also: VL_HELP().


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SEGMENTS = VL_SLIC(IM, REGIONSIZE, REGULARIZER) extracts the SLIC
superpixes [1] from image IM. REGIONSIZE is the starting size of
the superpixels and REGULARIZER is the trades-off appearance for
spatial regularity when clustering (a larger value results in more
spatial regularization). SEGMENTS is a UINT32 array containing the
superpixel identifier for each image pixel.


The image IM is a SINGLE array with two or three dimensions. The
third dimension is arbitrary, but it is usually three for RGB or
LAB images.


VL_SLIC() accepts the following options:


Verbose


Be verbose.


MinRegionSize
(1/6 of REGIONSIZE)^2

The minimum size (in pixel area) of the extracted
superpixels.


Example


If IM contains an RGB images, the SLIC superpixels can be
extracted as:


REFERENCES


[1] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and
S. Susstrunk. SLIC superpixels. Technical report, EPFL, 2010.


See also
http://www.vlfeat.org/doc/api/slic.html, VL_HELP().

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W = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W given training
struct DATA, and the regularization parameter LAMBDA using the
PEGASOS [1] solver. The algorithm finds a minimizer W of the
objective function

  LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))


where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
the number of training vectors in X.


The training struct DATA is created using the function
VL_MAKETRAININGSET.


[W B INFO] = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W
and a bias B given training struct DATA, and the regularization
parameter LAMBDA using the PEGASOS [1] solver. INFO is a struct
containing the input parameters plus diagnostic informations:


energy


SVM energy value.


iterations


Number of iterations performed.


elapseTime


Elapsed time since the start of the SVM learning.


regulizerTerm


Value of the SVM regulizer term.


lossPos


Value of loss function only for data points labeled positives.


lossNeg


Value of loss function onlt for data points labeled negatives.


hardLossPos


Number of mislabeled positive points.


hardLossNeg


Number of mislabeled negative points.


ALGORITHM. PEGASOS is an implementation of stochastic subgradient
descent. At each iteration a data point is selected at random, the
subgradient of the cost function relative to that data point is
computed, and a step is taken in that direction. The step size is
inversely proportional to the iteration number. See [1] for
details.


VL_SVMPEGASOS() accepts the following options:


Epsilon
[empty]

Specify the SVM stopping criterion threshold. If not
specified VL_SVMPEGASOS will finish when the maximum number
of iterations is reached. The stopping criterion is tested
after each ENERGYFREQ iteration.


MaxIterations
[10 / LAMBDA]

Sets the maximum number of iterations.


BiasMultiplier
[0]

Appends to the data X the specified scalar value B. This
approximates the training of a linear SVM with bias.


StartingModel
[null vector]

Specify the initial value for the weight vector W.


StartingIteration
[1]

Specify the iteration number to start from. The only effect
is to change the step size, as this is inversely proportional
to the iteration number.


StartingBias
[0]

Specify the inital bias value.


BiasLearningRate
[1]

Specify the frequency of the bias learning. The default
setting updates the bias at each iteration.


Permutation
[empty]

Specify a permutation PERM to be used to sample the data (this
disables random sampling). Specifically, at the T-th iteration
the algorithm takes a step w.r.t. the PERM[T']-th data point,
where T' is T modulo the number of data samples
(i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
bijective. This allows specifying certain data points more or
less frequently, implicitly increasing their relative weight in
the error term. A common application is to balance an unbalanced
dataset.


DiagnosticFunction
[empty]

Specify a function handle to be called every ENERGYFREQ
iterations.
The function must be of the form:

  function o = diagnostics(svm,x)


Where in the first iteration x is the variable passed as
"DiagnosticCallRef", and the consecutive ones x is the
variable o returned in the previous iteration.


DiagnosticCallRef
[empty]

Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.


EnergyFreq
[100]

Specify how often the SVM energy is computed.


ValidationData


Specify a validation dataset. The validation dataset must be
created using VL_MAKETRAININGSET. If specified, the energy
value and all the diagnostic informations are computed on the
validation dataset, otherwise the training dataset is used.


Verbose


Be verbose.


Example


The options StartingModel and StartingIteration can be used
to continue training. I.e., the command

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(x,y) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;


produces the same result as the sequence

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(x,y) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',500) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',500, ...
                 'StartingIteration', 501, ...
                 'StartingModel', w) ;


REFERENCES


[1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
SVM. MBP, 2010.


See also: VL_MAKETRAININGSET(), VL_HOMKERMAP(), VL_HELP().


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H = VL_TIGHTSUBPLOT(K,P) returns an handle to the P-th axis in a
regular grid of K axes. The K axes are numbered from left to right
and from top to bottom.  The function operates similarly to
SUBPLOT(), but by default it does not put any margin between
axes. This is done by tiling the axes inner box rather than the
axes outer box.


H = VL_TIGHTSUBPLOT(M,N,P) retursn an handle to the P-th axes in a
regular subdivision with M rows and N columns.


VL_TIGHTSUBPLOT() accepts the following options:


Margin
[0]

MarginLeft
[0]

MarginRight
[0]

MarginTop
[0]

MarginBottom
[0]

Set the axes inner box margin, either uniformly in all
directions, or specifically to the left, right, top or bottom.


Box
[0]

If set to 'outer', tile the axes outer box, thus protecting
title and labels. Unfortunately this usually produces
unnecesarily large margins.


Spacing
[0] (legacy option)

Set extra spacing between axes.  The space is added between the
inner or outer boxes, depending on the setting below.


REMARK. While SUBPLOT kills any pre-existing axes that overalps a
new one, this function does not.


See also: SUBPLOT(), VL_HELP().


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This is an helper function used by VL_PR(), VL_ROC(), VL_DET().


See also: VL_PR(), VL_ROC(), VL_DET(), VL_HELP().


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PHI=VL_TPS(X1,X2,Y) returns the basis PHI of a thin-plate spline
(TPS) defined on the domain X1,X2 with control points Y.


X1 and X2 are MxN matrices specifying the grid vertices.  When
warping images, these usually correspond to image pixels.


Y is a 2xK matrix specifying the control points, one per
column. Ofthen Y is a subset of the domain X1,X2, but this is not
required.


PHI is a (K+3)xNxM matrix, with one layer per basis element. Each
basis element is a function of the domain X1,X2.


[PHI,S] = VL_TPS(X1,X2,Y) additionally returns the stiffness matrix S
of the TPS.


See also: VL_WTPS(), VL_HELP().


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U=VL_TPSU(X,Y) returns the matrix


[ U(|X(:,1) - Y(:,1)|) ... U(|X(:,1) - Y(:,N)|) ]
[                                               ]
[ U(|X(:,M) - Y(:,1)|) ... U(|X(:,M) - Y(:,N)|) ]


where X is a 2xM matrix and Y a 2xN matrix of points and U(r) is
the opposite -r^2 log(r^2) of the radial basis function of the
thin plate spline specified by X and Y.


[U,dU]=vl_tpsu(x,y) returns the derivatives of the columns of U with
respect to the parameters Y. The derivatives are arranged in a
Mx2xN array, one layer per column of U.


See also: VL_TPS(), VL_HELP().


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VL_TWISTER() is essentially equivalent to MATLAB native RAND()
when using the Twister random number generator. VL_TWISTER(),
VL_TWISTER(M,N,P,...)  and VL_TWISTER([M N P ...]) are equivalent
to RAND(), RAND(M,N,P,...)  and RAND([M N P ...]) respectively.


The state of the random generator can be seeded by
VL_TWISTER('STATE', X), where X is a DOUBLE scalar (this is
equivalent to RAND('TWISTER', X)). The state can be read by
VL_TWISTER('STATE') (equivalent to RAND('TWISTER')) and set by
VL_TWISTER('STATE', STATE) (equivalent to RAND('TWISTER',
STATE)). Here STATE is a vector of 625 elements of class
UINT32. Finally VL_TWISTER('STATE',KEY) seeds the generator by a
vector of DOUBLE of length not greater than 624.


VL_TWISTER() is slightly faster than RAND(). Moreover it can be
used to control the state of the random number generator used by
all VLFEAT functions.


See also: VL_HELP().


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MATCHES = VL_UBCMATCH(DESCR1, DESCR2) matches the two sets of SIFT
descriptors DESCR1 and DESCR2.


[MATCHES,SCORES] = VL_UBCMATCH(DESCR1, DESCR2) retuns the matches and
also the squared Euclidean distance between the matches.


The function uses the algorithm suggested by D. Lowe [1] to reject
matches that are too ambiguous.


VL_UBCMATCH(DESCR1, DESCR2, THRESH) uses the specified threshold
THRESH. A descriptor D1 is matched to a descriptor D2 only if the
distance d(D1,D2) multiplied by THRESH is not greater than the
distance of D1 to all other descriptors. The default value of
THRESH is 1.5.


The storage class of the descriptors can be either DOUBLE, FLOAT,
INT8 or UINT8. Usually integer classes are faster.


REFERENCES


[1] D. G. Lowe, Distinctive image features from scale-invariant
keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.


See also: VL_HELP(), VL_SIFT().


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[F,D] = VL_UBCREAD(FILE) reads the frames F and the descriptors D
from FILE in UBC (Lowe's original implementation of SIFT) format
and returns F and D as defined by VL_SIFT().


VL_UBCREAD(FILE, 'FORMAT', 'OXFORD') assumes the format used by
Oxford VGG implementations .


See also: VL_SIFT(), VL_HELP().


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VL_VERSION() prints VLFeat version number. VL_VERSION('VERBOSE')
prints additional information.


STR = VL_VERSION(...) returns the ouptut in a string rather than
printing it.


See also: VL_HELP().


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Y = VL_WAFFINE(A,T,X) applies the affine transformatio (A,T) to points
X. X contains one point per column.


[Y1,Y2,...] = VL_WAFFINE(A,T,X1,X2,...) applies the affine
transformation (A,T) to the points (X1,X2,...). Each array
X1,X2,... contains one of the coordinates of the points.


See also: VL_HELP().


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H = VL_WHISTC(X,W,EDGES) behaves exactly like HISTC(X,EDGES), but
weights the samples X by W. Samples that have NaN weight are
skipped.


See also: HITSC(), VL_HELP().


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[X1,X2]=VL_WITPS(XP1,XP2,Y,Yp) computes the inverse thin-plate spline
(TPS) warp of the points XP1,XP2.


Remark


The inverse of a thin-plate spline in general is NOT a
thin-plate spline and some splines do not have an inverse.  This
function uses Gauss-Newton to compute a set of points (X1,X2)
such that [XP1,XP2]=VL_WTPS(X1,X2,Y,Yp).


See also: VL_WTPS(), VL_HELP().


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[XP1,XP2]=VL_WTPS(PHI,YP) computes the thin-plate spline (TPS)
specified by the basis PHI and the warped control point Yp.


Yp is a 2xK matrix with one column per control point and the basis
PHI is calculated by means of the VL_TPS function.


The thin-palte spline is defined on a domain X1,X2 and specified
by a set of points Y and their warp YP. The spline passes
interpolates exaclty the control points.


The parameters X1,X2 and Y are used to compute the basis PHI. This
operation is fairily slow, but computing the spline for a given Yp
is then very quick, as the operation is just a linear combination
of the basis.


Example


To calculate the warped grid [X1,X2] by moving the control points Y to
the control points YP use:

  [xp1,xp2]=VL_WTPS(VL_TPS(x1,x2,Y),Yp).


See also: VL_TPS(), VL_HELP().


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VL_XMKDIR(PATH) creates all directory specified by PATH if they
do not exist (existing directories are skipped).


The function is meant as a silent replacement of MATLAB's builtin
MKDIR() function. It can also be used to show more clearly what
directories are or would be created by the command.


The function accepts the following options:


Pretend
false

If TRUE the function does not create any directoty (implies
'Verbose').


Verbose
false

If TRUE the function prints the operations performed.


See also: VL_HELP().


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J = VL_XYZ2LAB(I) converts the image from XYZ format to LAB format.


VL_XYZ2LAB(I,IL) uses one of the illuminants A, B, C, E, D50, D55,
D65, D75, D93. The default illuminatn is E.


See also: VL_XYZ2LUV(), VL_HELP().


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J = VL_XYZ2LUV(I) converts the image I in XYZ format to the image J
in Luv format.


J = VL_XYZ2LUV(I,IL) uses the specified illuminant. The following
illuminant are supported: A, B, C, E, D50, D55, D65, D75, D93.  IL
is the name of the illuminant.


See also: VL_XYZ2LAB(), VL_HELP().


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J = VL_XYZ2RGB(I) the XYZ image I in RGB format.


VL_XYZ2RGB(I,WS) uses the RGB workspace WS. WS is a string in

  • 
CIE:    E illuminant and 2.2 gamma

  • 
Adobe:  D65 illuminant and 2.2 gamma


The default workspace is CIE.


See also: VL_RGB2XYZ(), VL_HELP().


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AIB
GEOMETRY
IMOP
KMEANS
MISC
MSER
PLOTOP
QUICKSHIFT
    

  • vl_flatmap Flatten a tree, assigning the label of the root to each node
  • vl_imseg Color an image based on the segmentation
  • vl_quickseg Produce a quickshift segmentation of a grayscale or color image
  • vl_quickshift Quick shift image segmentation
  • vl_quickvis Create an edge image from a Quickshift segmentation.

SIFT
SLIC
SPECIAL

    























































































































   
   

   
 

  
 
   
 
 


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PARENTS = VL_AIB(PCX) runs Agglomerative Information Bottleneck
(AIB) on the class-feature co-occurrence matrix PCX and returns a
vector PARENTS representing the sequence of compressed AIB
alphabets.


PCX is the joint probability of the occurrence of the class label
C and the feature value X. PCX has one row for each class label
and one column for each feature value, non negative entires and
sums to one. AIB iteratively merges the pair of feature values
that decreases the mutual information I(X,C) the least. This
compresses the alphabet of the discrete random variable X in such
a way that the new variable is still informative about C.


Merge operations are represented by a binary tree. The nodes of
the tree correspond to the original feature values and any other
value obtained by merging.


The vector PARENTS represents the merge tree. The nodes are
numbered in breadth-first order, starting from the leaves. The
numbers associated to the tree leaves correspond to the original
feature values (so the first leaf has number one and correspond to
the first feature value).  In total there are 2*M-1 nodes, where M
is the number of feature values (the number of columns of
PCX). The internal nodes are numbered according to the order in
which AIB generates them. It is therefore possible to recover from
the tree the state of the AIB algorithm at each step (see also
VL_AIBCUT()). PARENTS is a UINT32 array with one element for each
tree node storing the index of the parent node. The root parent is
conventionally set to 1.


Feature values with null probability (null columns of the PCX
matrix) are ignored by the AIB algorithm and the corresponding
entries in the PARENTS vectors are set to zero. Notice that this
causes the root of the tree to have index smaller of 2*M-1
(PARENTS has still 2*M-1 entries, but the last portion is
zero-padded).


Alternatively, the option ClusterNull can be used to assign the
null probability values to a special value. The result is similar
to pretending that the null probability nodes have indeed very
small probability, uniform across categories.


[PARENTS, COST] = VL_AIB(...) returns the values COST of the cost
function being optimized by AIB (i.e. the mutual information
I(X,C)). COST has M column. The first column is the initial value
of the cost function. The others correspond to the cost after each
of the M-1 merges. If less than M-1 merges are performed, the rest
of the vector is filled with NaNs.


VL_AIB() accepts the following options:


Verbose


If specified, increase verbosity level.


ClusterNull


If specified, do not signal null nodes; instead cluster them.


See also: VL_AIBCUT(), VL_AIBHIST(), VL_AIBCUTHIST(),
VL_AIBCUTPUSH(), VL_HELP().


   

   
 

  
 
   
 
 


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CUT = VL_AIBCUT(PARENTS, N) cuts the binary merge tree PARENTS and
returns a cut CUT of N nodes. The format of PARENTS is the same
used by the VL_AIB() function.


A cut is a set of N nodes such that no node is a descendant of any
other node in the cut and such that all leaves descend from a node
in the cut. The vector CUT lists the nodes of the binary merge tree
PARENT that form the cut.


Nodes with null parent (as defined by PARENTS) are included in the
cut if the other nodes are not enough to fill a cut of N elements.


[CUT, MAP] = VL_AIBCUT(...) returns a vector MAP with the same size
as PARENTS. MAP assigns each node below or in the cut to the
corresponding element in the CUT vector (each element above the cut
or with null parent is mapped to 0). To get the index of the
corresponding cut nodes use CUT(MAP). MAP can be used to quantize
the leaves in a sequences of N contiguous indexes, starting from
one (see also VL_AIBCUTPUSH()).


[CUT, MAP, SHORT] = VL_AIBCUT(...) returns also a vector SHORT that
represents a version of the PARENTS tree where nodes below the cut
are short-circuitied to link to the corresponding cut ancestors
directly. Null parents are left unchanged, except if the
corresponding node is in the cut (in which case the map-to-itself
rule has the precedence).


See also: VL_HELP(), VL_AIB().


   

   
 

  
 
   
 
 


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HIST = VL_AIBCUTHIST(MAP, X) computes the histogram of the data X
using the compressed alphabet specified by a cut MAP of the AIB
tree (as returned by VL_AIBCUT()). Each element of HIST counts how
many elements of X are projected to the corresponding cut node
(encoding the compressed alphabet).


Data are mapped to bins as specified by VL_AIBCUTPUSH(). Data mapped
to the null node are dropped.


VL_AIBCUTHIST() accepts the following options:


Nulls
[drop]

What to do of null nodes: drop ('drop'), accumulate to an
extra bin at the end of HIST ('append'), or accumulate to
the first bin ('first')


See also: VL_AIB(), VL_HELP().


   

   
 

  
 
   
 
 


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Y = VL_AIBCUTPUSH(MAP, X) maps the data X to elements of the AIB
cut specified by MAP.


The function is equivalent to Y = MAP(X).


See also: VL_HELP(), VL_AIB().


   

   
 

  
 
   
 
 


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H = VL_AIBHIST(PARENTS, DATA) computes the histogram of the data
points DATA on the VL_AIB tree defined by PARENTS. Each element of
DATA indexes one of the leaves of the VL_AIB tree.


H = VL_AIBHIST(PARENTS, DATA, 'HIST') treats DATA as an histograms.
In this case each compoment of DATA is the number of occurences of
the VL_AIB leaves corresponding to that component.


H has the same dimension of parents and counts how many data points
are descendent of the corresponding node of the VL_AIB tree.


See also: VL_HELP(), VL_AIB(), VL_AIBCUTPUSH().


   

   
 

  
 
   
 
 


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D = VL_ALLDIST2(X,Y) returns the pairwise distance matrix D of the
columns of S1 and S2, yielding

  D(i,j) = sum (X(:,i) - Y(:,j)).^2


VL_ALLDIST2(X) returns the pairwise distance matrix fo the columns of
S, yielding

  D(i,j) = sum (X(:,i) - X(:,j)).^2


VL_ALLDIST2(...,'METRIC') changes the computed distance. Supported
values for METRIC are

 METRIC  D(i,j)
 --------------------------------------------------------
  LINF   max |X  - Y|
  L2     sum (X  - Y).^2
  L1     sum |X  - Y|
  L0     sum (X ~= Y)
  CHI2   sum (X  - Y).^2 ./ (X + Y)
  HELL   sum (X^.5 - Y^.5) .^ 2


(Notice that the standard definition of chi2 is half of what is
computed here).


VL_ALLDIST2(...,'KERNEL') computes the following 'kernels' K:

 KERNEL  K(i,j)
 ---------------------------------------------------------
  KL2    sum X .* Y
  KL1    sum min (X, Y)
  KCHI2  2 * sum (X .* Y) ./ (X + Y)
  KHELL  (X .* Y) .^ 0.5


The constant are chosen so that D(i,j) = K(i,i) + K(j,j) - 2 K(i,j)
where D is the metric corresponding to the kenrel (if the arguments
are non-negative vectors). Each kernel can be interpreted as the
inner product inducing the corresponding metric in an embedding of
the real space into an approrpiate reproducing Kenrel Hilbert
space.


VL_ALLDIST2() supports several storage classes. X and Y must have the
same storage class. The sotrage class of D is promoted to reduce
the chance of overvlow, but this is not checked.

  X & Y class      D class
 ---------------------------
  UINT8            UINT32
   INT8             INT32
  UINT16           UINT32
   INT16            INT32
  UINT32           UINT32
   INT32            INT32
  SINGLE           SINGLE
  DOUBLE           DOUBLE


Warning: Both chi2 and kchi2 use integer math when presented with
integer data types. This can easily result in zeros where you did
not expect them.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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STRINGS = VL_ALPHANUM(STRINGS) sorts the cell array of strings
STRINGS by using the Alphanum algorithm [1]. [STRINGS,PERM] =
VL_ALPHANUM(...) returns the corresponding permutation PERM as
well.


Example


Alphanum sorts strings in a way that 'makes sense'. For instance

 strings = {'B1', 'B2', 'B12', 'A12', 'A1', 'A2'} ;
 sorted = vl_alphanum(strings) ;


produces the sorted array {'A1', 'A2', 'A12', 'B1', B2',
'B12'}. By contrast, SORT() produces the array {'A1', 'A12',
'A2', 'B1', B12', 'B2'} (note the position of the elements
'A12', 'B12').


References:
[1] Dave Koelle, 'The Alphanum Algorithm',
http://www.davekoelle.com/alphanum.html


   

   
 

  
 
   
 
 


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CONF = VL_ARGPARSE(CONF, ARGS) updates the structure CONF based on
the specified parameter-value pairs ARGS={PAR1, VAL1, ... PARN,
VALN}. The function produces an error if an unknown parameter name
is passed in.


[CONF, ARGS] = VL_ARGPARSE(CONF, ARGS) copies any parameter in
ARGS that does not match CONF back to ARGS instead of producing an
error.


Example


The function can be used to parse a list of arguments
passed to a MATLAB functions:

  function myFunction(x,y,z,varargin)
  conf.parameterName = defaultValue ;
  conf = vl_argparse(conf, varargin)


If only a subset of the options should be parsed, for example
because the other options are interpreted by a subroutine, then
use the form

 [conf, varargin] = vl_argparse(conf, varargin)


that copies back to VARARGIN any unknown parameter.


See also: VL_OVERRIDE(), VL_HELP().


   

   
 

  
 
   
 
 


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IDX = VL_BINSEARCH(B, X) maps the elements of X to the bins
defined by B. B is a non-decreasing vector of M real numbers
defining bins [-inf, B(1)), [B(1), B(2)), ... [B(M) +inf] (note
that the last bin contains +inf). The bins are numbered from 0 to
M. X is a real (plain) array and IDX is an array with the same
dimensions of X, specifying the bin correpsonding to each element
of X.


If B(1) = -inf the bin number 0 is removed and the bin number 1 is
[-inf B(2)). If B(M) = +inf, the last bin M is the singleton +inf.


See also: VL_BINSUM(), VL_HELP().


   

   
 

  
 
   
 
 


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ACCUMULATOR = VL_BINSUM(ACCUMULATOR,VALUES,INDEXES) adds the
elements of the array VALUES to the elements of the array
ACCUMULATOR indexed by INDEXES. VALUES and INDEXES must have the
same dimensions, and the elements of INDEXES must be valid indexes
for the array ACCUMULATOR (except for null indexes, which are
silently skipped). An application is the calculation of a
histogram ACCUMULATOR, where INDEXES are the bin occurences and
VALUES are the occurence weights.


VL_BINSUM(...,DIM) operates only along the specified dimension
DIM. In this case, ACCUMULATOR, VALUES and INDEXES are array of
the same dimensions, except for the dimension DIM of ACCUMULATOR,
which may differ, and INDEXES is an array of subscripts of the
DIM-th dimension of ACCUMULATOR. A typical application is the
calculation of multiple histograms, where each histogram is a
1-dimensional slice of the array ACCUMULATOR along the dimension
DIM.


VALUES can also be a scalar. In this case, the value of VALUES is
summed to all the specified bins.


ACCUMULATOR and VALUES must have the same storage
class. ACCUMULATOR, VALUES, and INDEXES can be either DOUBLE,
SINGLE, UINT64, INT64, UINT32, INT32, UINT16, INT16, UINT8,
INT8. Integer math uses modulo-2 arithmetic (most MATLAB functions
saturate instead).


Example


The following relations illustrate VL_BINSUM() behavior:

  VL_BINSUM([0 0],  1, 2) = [0 1]
  VL_BINSUM([1 7], -1, 1) = [0 7]
  VL_BINSUM(EYE(3), [1 1 1], [1 2 3], 1) = 2*EYE(3)


See also: VL_HELP().


   

   
 

  
 
   
 
 


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VL_CF() creates a copy of the current figure and returns VL_CF(H0)
creates a copy of the figure(s) whose handle is H0.  H =
VL_CF(...) returns the handles of the copies.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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P=VL_CLICK() let the user click a point in the current figure and
returns its coordinates in P. P is a two dimensiona vectors where
P(1) is the point X-coordinate and P(2) the point Y-coordinate. The
user can abort the operation by pressing any key, in which case the
empty matrix is returned.


P=VL_CLICK(N) lets the user select N points in a row. The user can
stop inserting points by pressing any key, in which case the
partial list is returned.


VL_CLICK() accepts the following options:


PlotMarker
[0]

Plot a marker as points are selected. The markers are deleted on
exiting the function.


See also: VL_CLICKPOINT(), VL_HELP().


   

   
 

  
 
   
 
 


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SEL = VL_CLICKPOINT(V) let the user vl_click a point in the current
figure and returns the index v of the closest point (in Euclidean
norm) in the collection V. The 2xK matrix V has a a column for
each point.


The user can abort the operation by pressing any key. In this case
the function returns the empty matrix.


VL_CLICKPOINT(V,N) selects N points in a row. The user can stop the
selection at any time by pressing any key. In this case the
partial selection is returned. This can be used in combination
with N=inf to get an arbitrary number of points.


VL_CLICKPOINT() accepts the following options:


PlotMarker
[0]

Put a marker as points are selected. The markers are deleted on
exiting the function.


See also: VL_CLICK(), VL_HELP().


   

   
 

  
 
   
 
 


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[P1,P2] = VL_CLICKSEGMENT() lets the user select a segment in the
current figure and returns the starting and ending point P1 and P2.


The user can abort the operation by pressing any key. In this case
the function returns the empty matrix.


See also: VL_CLICK(), VL_CLICKPOINT(), VL_HELP().


   

   
 

  
 
   
 
 


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Y = VL_COLSUBSET(X, N) returns a random subset Y of N columns of
X. The selection is order-preserving and without replacement. If N
is larger or equal to the number of columns of X (e.g. N = Inf),
then the function returns all the columns (i.e., Y = X).


If 0 < N < 1, then the function returns a fraction N of the
columns (rounded to the closest integer).


[Y, SEL] = VL_COLSUBSET(...) returns the indexes SEL of the
selected columns.


The function accepts the following options:


Beginning


Returns the fist N columns.


Ending


Returns the last N columns.


Random
[default]

Returns N columns selected at random (using RANDPERM()).


Uniform


Returns N uniformly spaced columns.


Largest


Returns the N largest columns (using SORTROWS()).


Smallest


Returns the N smallest columns (using SORTROWS()).


   

   
 

  
 
   
 
 


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VL_COMPILE() uses MEX() to compile VLFeat MEX files. This command
works only under Windows and is used to re-build problematic
binaries. The preferred method of compiling VLFeat on both UNIX
and Windows is through the provided Makefiles.


VL_COMPILE() only compiles the MEX files and assumes that the
VLFeat DLL (i.e. the file VLFEATROOT/bin/win{32,64}/vl.dll) has
already been built. This file is built by the Makefiles.


By default VL_COMPILE() assumes that Visual C++ is the active
MATLAB compiler. VL_COMPILE('lcc') assumes that the active
compiler is LCC instead (see MEX -SETUP). Unfortunately LCC does
not seem to be able to compile the latest versions of VLFeat due
to bugs in the support of 64-bit integers. Therefore it is
recommended to use Visual C++ instead.


See also: VL_NOPREFIX(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_COVDET() implements a number of co-variant feature detectors
(e.g., DoG, Harris-Affine, Harris-Laplace) and allow to compute
corresponding feature descriptors (SIFT, raw patches).


F = VL_COVDET(I) detects upright scale and translation covariant
features based on the Difference of Gaussian (Dog) cornerness
measure from image I (a grayscale image of class SINGLE). F is in
the format of oriented ellipse feature frames (see VL_PLOTFRAME()
for the definition) even if features are only scale-invariant
(discs or oriented discs).


VL_COVDET(I, 'Method', METHOD) allows using one of the
following methods instead:


DoG


The Difference of Gaussians is an approximate version of the
multiscale trace of Laplacian operator [1].


Hessian


Determinant Hessian operator [2].


HessianLaplace


Determinant of Hessian for space localisation, trace of
Laplacian for scale detection [2].


HarrisLaplace


Harris cornerness measure for space localisation, trace
of Laplacian for scale detection [2].


MultiscaleHessian


Same as HessianLaplace, but Laplacian scale detection is not
performend (features are simply detected at multiple scales) [2].


MultiscaleHarris


Same as HarrisLaplace, but Laplacian scale detection is not
performend (features are simply detected at multiple scales) [2].


The number of detected features is affected by the
'PeakThreshold', which sets the minimum absolute vale of the
cornerness measure to accept a feature. A larger threshold select
fewer features. To adjust the threshold, the score of the detected
features can be obtained in the INFO structure (see later).


Features can also be filtered by setting the 'EdgeThreshold'
parameters, which sets an upper bound on the ratio of the maxium
over the minium curvature of the cornerness measure at the
detected location. The idea is that unbalanced curvatures
correspond to features detected along image edges, and should
therefore be discarded as spatially unstable.


VL_COVDET(..., 'EstimateAffineShape', true) switches on affine
adaptation, which attempts to estimate the affine co-variant shape
of each feature based on the algorihtm of [2].


VL_COVDET(..., 'EstimateOrientations', true) switches on the
estimation of the orientation of features (which are therefore not
upright anymore) []. Note that more than one orientation can be
associated to each feature, creating copies of them.


VL_COVDET(..., 'Frames', F) allows to specify user defined frames
F. This skips detection, but estimating the affine shape or the
orietnations can still be applied. Moreover, descriptors for these
frames can be computed.


[F,D] = VL_COVDET(I, ...) computes the SIFT descriptors [1] for
the detected features. Each column of D is the descriptor of the
corresponding frame in F. A descriptor is a 128-dimensional vector
of class SINGLE. The same format of VL_SIFT() is used. SIFT
features are computed on normalised image patches that are
affected by the parameters explained next (for example, to comptue
SIFT on a larger measurement reagion, increase the value of
PatchRelativeExtent.


[F,D] = VL_COVDET(I, 'descriptor', 'patch') can be used to extract
raw patches instead of SIFT descriptors. In this case, each column
of D is a stacked square image patch. The following parameters
can be used to control the produced patches:


PatchResolution
15

The size of the patch R in pixel. Specifically, the patch is a
square of side 2*R+1 pixels.


PatchRelativeExtent
7.5

The extent E of the patch in the feature frame. A feature F
define a mapping from the feature reference frame to the image
reference frame as an affine transformation A,T (see
VL_PLOTFRAME()). The patch is a square [-E, E]^2 in this frame
(transform this square by A,T to find the extent in the image).


PatchRelativeSigma: 1.0

  The smoothing SIGMA of the patch in the patch frame. The
  computed patch can be thought as being obtained by first
  warping the image (as a continous signal) by A,T, then
  smoothing the results by SIGMA, and then sampling.


[F,D,INFO] = VL_COVDET(...) returns an additiona structure INFO
with the following members:


info.peakScores


The peak scores of the detected features.


info.edgeScores


The edge scores of the detected features.


info.gss


The Gaussian scale space (see VL_PLOTSS()).


info.css


The cornerness measure scale space (see VL_PLOTSS()).


The function supports the following options:


OctaveResolution
3

The number of scale levels sampled per octave when constructing
the scale spaces.


DoubleImage
true

Whether to double the image before extracting features. This
allows to detect features at a smoothing level of 0.5 and up
rathern than 1.0 and up, resulting in many more small
features being detected.


Verbose


If specified, it incerases the verbosity level.


REFERENCES


[1] D. G. Lowe, Distinctive image features from scale-invariant
keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.


[2] K. Mikolajcyk and C. Schmid, An affine invariant interest
point detector. ICCV, vol. 2350, pp. 128-142, 2002.


See also: VL_SIFT(), VL_PLOTFRAME(), VL_PLOTSS(), VL_HELP().


   

   
 

  
 
   
 
 


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If X is a vector, VL_CUMMAX(X) is the vector with the cumulative
maximum of X. If X is a matrix, VL_CUMMAX(X) is the matrix of the
cumulative maximum of the columns of X. If X is a multi-dimensional
array, VL_CUMMAX(X) operates along the first non-singleton
dimension.


The function is analogous to CUMSUM() and CUMPROD(), but it
computes the cumulative maximum rather than the cumulative sum or
product.


The array X can be of any numeric class.


Example


The cumulative maximum VL_CUMMAX([1 2 3 2 1]) is the vector
[1 2 3 3 3].


See also: CUMSUM(), CUMPROD(), VL_HELP().


   

   
 

  
 
   
 
 


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Y=VL_DDGAUSSIAN(X) computes the second derivative of the standard
Gaussian density.


To obtain the second derivative of the Gaussian density of
standard deviation S, do

  Y = 1/S^3 * VL_DDGAUSSIAN(X/S) .


See also: VL_GAUSSIAN(), VL_DGAUSSIAN(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_DEMO runs all VLFeat demos in a row, exporting figures for
the documentation. Edit this file to see a list of the vailable
demos, or look into the toolbox/demo directory.


   

   
 

  
 
   
 
 


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[MISSRATE, FALSEALRAM] = VL_DET(LABELS, SCORES) computes the
Detection Error Trade-off (DET) curve for the given set LABELS and
SCORES. The function is a simple wrapper to VL_ROC(LABELS,
SCORES). In fact, MISSRATE is simply the false positive rate and
FALSEARALM the false negative rate returned by VL_ROC().


VL_DET(...) without output arguments plots the curves in the
current axis. Note that the DET curves use logarithmic axis.


VL_DET(..., OPT, ARG, ...) accepts the same options as VL_ROC().


REFERENCES:
[1] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and
M. Przybocki. The DET curve in assessment of detection task
performance. In Proc. Conf. on Speech Communication and Technology,
1997.


   

   
 

  
 
   
 
 


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Y=VL_DGAUSSIAN(X) evaluates the derivative of the standard Gaussian
density.


To obtain the Gaussian density of standard deviation S, do

  Y = 1/S^2 * VL_DGAUSSIAN(X/S) .


See also: VL_GAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().


   

   
 

  
 
   
 
 


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[FRAMES,DESCRS] = VL_DSIFT(I) extracts a dense set of SIFT
keypoints from image I. I must be of class SINGLE and grayscale.
FRAMES is a 2 x NUMKEYPOINTS, each colum storing the center (X,Y)
of a keypoint frame (all frames have the same scale and
orientation). DESCRS is a 128 x NUMKEYPOINTS matrix with one
descriptor per column, in the same format of VL_SIFT().


VL_DSIFT() does NOT compute a Gaussian scale space of the image
I. Instead, the image should be pre-smoothed at the desired scale
level, e.b. by using the VL_IMSMOOTH() function.


The scale of the extracted descriptors is controlled by the option
SIZE, i.e. the width in pixels of a spatial bin (recall that a
SIFT descriptor is a spatial histogram with 4 x 4 bins).


The sampling density is controlled by the option STEP, which is
the horizontal and vertical displacement of each feature cetner to
the next.


The sampled image area is controlled by the option BOUNDS,
defining a rectangle in which features are comptued. A descriptor
is included in the rectangle if all the centers of the spatial
bins are included. The upper-left descriptor is placed so that the
uppler-left spatial bin center is algined with the upper-left
corner of the rectangle.


By default, VL_DSIFT() computes features equivalent to
VL_SIFT(). However, the FAST option can be used to turn on an
variant of the descriptor (see VLFeat C API documentation for
further details) which, while not strictly equivalent, it is much
faster.


VL_DSIFT() accepts the following options:


Step
[1]

Extracts a SIFT descriptor each STEP pixels.


Size
[3]

A spatial bin covers SIZE pixels.


Bounds
[whole image]

Specifies a rectangular area where descriptors should be
extracted. The format is [XMIN, YMIN, XMAX, YMAX]. If this
option is not specified, the entiere image is used.  The
bounding box is clipped to the image boundaries.


Norm


If specified, adds to the FRAMES ouptut argument a third
row containint the descriptor norm, or engergy, before
contrast normalization. This information can be used to
suppress low contrast descriptors.


Fast


If specified, use a piecewise-flat, rather than Gaussian,
windowing function. While this breaks exact SIFT equivalence,
in practice is much faster to compute.


FloatDescriptors


If specified, the descriptor are returned in floating point
rather than integer format.


Verbose


If specified, be verbose.


RELATION TO THE SIFT DETECTOR


In the standard SIFT detector/descriptor, implemented by
VL_SIFT(), the size of a spatial bin is related to the keypoint
scale by a multiplier, called magnification factor, and denoted
MAGNIF. Therefore, the keypoint scale corresponding to the
descriptors extracted by VL_DSIFT() is equal to SIZE /
MAGNIF. VL_DSIFT() does not use MAGNIF because, by using dense
sampling, it avoids detecting keypoints in the first plance.


VL_DSIFT() does not smooth the image as SIFT does. Therefore, in
order to obtain equivalent results, the image should be
pre-smoothed approriately. Recall that in SIFT, for a keypoint of
scale S, the image is pre-smoothed by a Gaussian of variance S.^2
- 1/4 (see VL_SIFT() and VLFeat C API documentation).


Example


This example produces equivalent SIFT descriptors using
VL_DSIFT() and VL_SIFT():

 binSize = 8 ;
 magnif = 3 ;
 Is = vl_imsmooth(I, sqrt((binSize/magnif)^2 - .25)) ;

 [f, d] = vl_dsift(Is, 'size', binSize) ;
 f(3,:) = binSize/magnif ;
 f(4,:) = 0 ;
 [f_, d_] = vl_sift(I, 'frames', f) ;


Remark


The equivalence is never exact due to (i) boundary effects
and (ii) the fact that VL_SIFT() downsamples the image to save
computation. It is, however, usually very good.


Remark


In categorization it is often useful to under-smooth the image,
comared to standard SIFT, in order to keep the gradients
sharp.


FURTHER DETAILS ON THE GEOMETRY


As mentioned, the VL_DSIFT() descriptors cover the bounding box
specified by BOUNDS = [XMIN YMIN XMAX YMAX]. Thus the top-left bin
of the top-left descriptor is placed at (XMIN, YMIN). The next
three bins to the right are at XMIN + SIZE, XMIN + 2*SIZE, XMIN +
3*SIZE. The X coordiante of the center of the first descriptor is
therefore at (XMIN + XMIN + 3*SIZE) / 2 = XMIN + 3/2 * SIZE.  For
instance, if XMIN = 1 and SIZE = 3 (default values), the X
coordinate of the center of the first descriptor is at 1 + 3/2 * 3
= 5.5. For the second descriptor immediately to its right this is
5.5 + STEP, and so on.


See also: VL_SIFT(), VL_HELP().


   

   
 

  
 
   
 
 


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Y = VL_DSIGMOID(X) returns the derivative of VL_SIGMOID(X). This is
calculated as - VL_SIGMOID(X) * (1 - VL_SIGMOID(X)).


See also: VL_SIGMOID(X), VL_HELP().


   

   
 

  
 
   
 
 


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[DWX,DWY]=VL_DWAFFINE(X,Y) returns the derivative of the 2-D affine
warp [WX; WY] = [A T] [X; Y] with respect to the parameters A,T
computed at points X,Y.


See also: VL_WAFFINE(), VL_HELP().


   

   
 

  
 
   
 
 


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MEMBERS=VL_ERFILL(I,ER) returns the list MEMBERS of the pixels which
belongs to the extremal region represented by the pixel ER.


The selected region is the one that contains pixel ER and of
intensity I(ER).


I must be of class UINT8 and ER must be a (scalar) index of the
region representative point.


See also: VL_MSER(), VL_HELP().


   

   
 

  
 
   
 
 


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F = VL_ERTR(F) transposes the frames F as returned by VL_MSER(). This
conversion is required as the VL_MSER algorithm considers the column
index I as the frist image index, while according standard image
convention the first coordinate is the abscissa X.


See also: VL_MSER(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_FIGASPECT(A) sets the current figure aspect ratio to A. It
leaves the length of the shortest side unaltered. Both the
screen and paper positions are affected.


See also: VL_PRINTSIZE(), VL_HELP().


   

   
 

  
 
   
 
 


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[LABELS CLUSTERS] = VL_FLATMAP(MAP) labels each tree of the forest contained
in MAP. LABELS contains the linear index of the root node in MAP, CLUSTERS
instead contains a label between 1 and the number of clusters.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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Y=VL_GAUSSIAN(X) computes the standard (zero mean, unit variance)
Gaussian density.


To obtain the Gaussian density of standard deviation S do

  Y = 1/S * VL_GAUSSIAN(X/S).


See also: VL_DGAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_GETPID() returns MATLAB process ID.


Algorithm


VL_GETPID() returns the result of the getpid() system call on
UNIX-like operating systems and of GetCurrentProcessID() on
Windows.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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[IX,IY] = VL_GRAD(I) returns the gradient components IX,IY of the
2-D discrete function I. I must be a two-dimensional
matrix. VL_GRAD() computes the gradient by using finite
differences; specifically, it uses central differences for all but
the boundary pixels, for which it uses forward/backward
differences as appropriate.


Remark


VL_GRAD() is similar to the MATLAB built-in GRADIENT() function,
excepts that it supports different gradient approximations.


VL_GRAD() accepts the following options:


Type
central

Specify which type of finite differences to use for all but the
boundary samples. TYPE can be one of 'central', 'forward', or
'backward'.


See also: GRADIENT(), VL_HELP().


   

   
 

  
 
   
 
 


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H = VL_HARRIS(I,SI) computes the Harris corner strength of the image I
at ``integration'' scale SI.


The Harris strength [1] of a pixel is a statistic of the gradient
of the image integrated in a neighborhood of that pixel. This
neighborhood is a Gaussian window of variance SI.


In computing the Harris corner strength, there is a second scale
parameter, the ``derivation'' scale SD, which is the variance of
the Gaussian kernel used to pre-smooth the image I before computing
its gradient. SI and SD are independent parameters and VL_HARRIS(I,SI)
assumes that I is already smoothed at level SD.


VL_HARRIS(I,SI) uses Noble's variation [2] of the Harris score. If
SIGMAP and SIGMAM are respectively the biggest and smallest
eigenvalue of the structure tensor at a pixel, the score is given
by (SIGMAP*SIGMAM) / (SIGMAP+SIGMAM/2).  Let GAMMA = SIGMAM/SIGMAP
the ratio between the eigenvalues, which measures the degree of
anisotropy of the tensor and is always comprised in the range
[0,1].  Noble's score can be decomposed in two factors: the biggest
eigenvalue SIGMAP and the number

  RHO = (2 GAMMA) / (GAMMA + 1).


RHO is another measure of isotropy that has value one for a
symmetric tensor and and zero for maximally anisotropic tensor.
[H,DETAILS] = VL_HARRIS(I,SIGMA) returns the additional structure
DETAILS with the following fields:

  DETAILS.SIGMAP
  DETAILS.RHO


VL_HARRIS(I,SI,ALPHA) uses Harris' original score [1], defined to be
SIGMAP*SIGMAM - ALPHA*(SIGMAP+SIGMAM)^2. This can be decomposed in
the factors SIGMAP^2 (note the square) and

  RHO = GAMMA - ALPHA (1+GAMMA)^2.


Note that RHO is equal to -ALPHA for a maximally anisotropic
tensor. Typically ALPHA=0.04 and this is what is used by
VL_HARRIS(I,SI,[]).


REMARK. The gradient of the image I, used to compute the structure
tensor, is computed using central differencies. This means that a
function line [+1,-1,+1,...] has null Harris' score. This is
generally assumed to be a sampling artifact, and might be
avoided by oversampling the image.


EXAMPLE


To extacts Harris points from image I:

  idx = vl_localmax( vl_harris( vl_imsmooth( I, sd ), si ) ) ;
  [i,j] = ind2sub( size(I), idx )


REFERENCES


[1] C. Harris and M. Stephens, "A combined corner and edge detector,"
in Proceedings of The Fourth Alvey Vision Conference, pp. 147-151,
1988.


[2] J. A. Noble, "Finding corners, "Image Vision Computing, vol. 6,
no. 2, pp. 121-128, 1988.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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H = VL_HAT(OM) returns the skew symmetric matrix by taking the "hat"
of the 3D vector OM.


See also: VL_IHAT(), VL_HELP().


   

   
 

  
 
   
 
 


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The VLFeat MATLAB toolbox provides implementations of common
computer vision algorithms (HOG, SIFT, dense SIFT, MSER, AIB,
KMEANS, learning large scale SVMs...) and many utility functions
(e.g. precision-recall, ROC, DET curve calculation, plotting
functions). To get started:

  • 
Type vl_help doc

  • 
Type vl_help online

  • 
Use the help command to get information about any VLFeat function

  • 
Directly check the documentation online: http://www.vlfeat.org


   

   
 

  
 
   
 
 


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[TREE,ASGN] = VL_HIKMEANS(DATA,K,NLEAVES) applies recursive integer
K-menas to cluster the data DATA, returing a structure TREE
representing the clusters and a vector ASGN with the data to
cluster assignments. The depth of the recursive partition is
computed so that at least NLEAVES are generated.


VL_HIKMEANS() is built on top of VL_IKMEANS() and requires the data to
be of class UINT8.


TREE is a structure representing the hierarchical clusters.  Each
node of the tree is also a structure with fields:


DEPTH


Depth of the tree (only at the root node)


CENTERS


K cluster centers


SUB


Array of K node structures representing subtrees
(this field is missing at leaves).


ASGN is a matrix with one column per datum and height equal to the
depth of the tree. Each column encodes the branch of the tree that
correspond to each datum.


Example


ASGN(:,7) = [1 5 3] means that the tree as depth equal to 3 and
that the datum X(:,7) corresponds to the branch
ROOT->SUB(1)->SUB(5)->SUB(3).


See also: VL_HIKMEANSPUSH(), VL_HIKMEANSHIST(), VL_IKMEANS(), VL_HELP().


   

   
 

  
 
   
 
 


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H = VL_HIKMEANSHIST(TREE,PATH) computes the histogram of the HIKM tree
nodes activated by the root-to-leaf paths PATH. PATH is usually
obtained by quantizing data by means of VL_HIKMEANSPUSH().


The histogram H has one bin for each node of the HIKM tree TREE.
The tree has K = TREE.K nodes and depth D = TREE.DEPTH.  Therefore
there are M = (K^(D+1) - 1) / (K - 1) nodes in the tree (not
counting the root which carries no information). Nodes are stacked
into a vector of bins in breadth first order.


Example


The following relations illustrate the structure of PATH:

  H(1)   = # of paths such that PATH(1,:) = 1
  H(K)   = # of paths such that PATH(1,:) = K
  H(K+1) = # of paths such that PATH(1:2,:) = [1 ; 1]
  H(K+K) = # of paths such that PATH(1:2,:) = [1 ; K]


See also: VL_HIKMEANS(), VL_HIKMEANSPUSH(), VL_HELP().


   

   
 

  
 
   
 
 


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PATH = VL_HIKMEANSPUSH(TREE,X) quanizes the data X with the
hierachical integer K-means tree TREE. This is obtained by
calculating the path of each datum from the root of TREE down to a
leaf. Here X has a datum for each column and each column of PATH
represents the corresponding root-to-leaf path.


Example


PATH(:,1) = [2 1 4] means that the first datum follows
the branches number 2, 1 and 4 starting from the root of the
HIKM tree ending to a leaf.


See also: VL_HIKMEANS(), VL_HELP().


   

   
 

  
 
   
 
 


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H = VL_HISTMARG(H, DIMS) marginalizes the historgram H w.r.t the
dimensions DIMS. This is done by summing out all dimensions not
listed in DIMS and deleting them.


Remark


If DIMS lists only one dimension, the returned histogram H is a
column vector. Notice that this way of deleting dimensions is
not always consistent with the SQUEEZE function.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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HOG = VL_HOG(IM, CELLSIZE) computes the HOG features for image IM
and the specified CELLSIZE. IM can be either grayscale or colour
in SINGLE storage class. HOG is an array of cells: its number
of columns is approximately the number of columns of IM divided
by CELLSIZE and the same for the number of rows. The third
dimension spans the feature compoents.


PERM = VL_HOG('permutation') returns the left-right permutation
to apply to each HOG cell to flip it.


IMAGE = VL_HOG('render', HOG) returns an IMAGE containing an
iconic representation of the array of cells HOG.


Options:


Variant
'UoCTTI'

Choose a HOG variant: 'UoCTTI' or 'Dalal-Triggs'.


NumOrientations
9

Choose a number of undirected orientations in the orientation
histograms. The angle [0,pi) is divided in to NumOrientation
equal parts.


DirectedPolarField


By specifying this flag the image IM is interpreted as samples
from a 2D vector field specified by their argument IM(:,:,2) and
modulus IM(:,:,1).


UndirectedPolarField


Same as above, but wraps angles in [0,pi).


BilinearOrientations


This flags activates the use of bilinear interpolation to assign
orientations to bins. This produces a smoother feature, but is
not some other implementations (e.g. UoCTTI).


Example
computing and visualizing HOG features

hog = vl_hog(im2single(im)) ; % compute HOG features


   

   
 

  
 
   
 
 


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V = VL_HOMKERMAP(X, N) computes a 2*N+1 dimensional approximated
kernel map for the Chi2 kernel. X is an array of data points. Each
point is expanded into a vector of dimension 2*N+1 and saved to
the output V. The expanded feature vectors are stacked along the
first dimension, so that the output array V has the same
dimensions of the input array X except for the first one, which is
2*N+1 times larger.


The function accepts the following options:


KChi2


Compute the map for the Chi2 kernel.


KINTERS


Compute the map for the intersection kernel.


KL1


Same as KINTERS, but deprecated as the name is not fully
accurate.


KJS


Compute the map for the JS (Jensen-Shannon) kernel.


Period
[automatically tuned]

Set the period of the kernel specturm. The approximation is
based on periodicizing the kernel specturm. If not specified,
the period is automatically set based on the heuristic described
in [2].


Window
[RECTANGULAR]

Set the window used to truncate the spectrum before The window
can be either RECTANGULAR or UNIFORM window. See [2] and the API
documentation for details.


Gamma
[1]

Set the homogeneity degree of the kernel. The standard kernels
are 1-homogeneous, but sometimes smaller values perform better
in applications. See [2] for details.


Example


The following code results in approximatively the same
similarities matrices between points X and Y:

  x = rand(10,1) ;
  y = rand(10,100) ;
  psix = vl_homkermap(x, 3) ;
  psiy = vl_homkermap(y, 3) ;
  figure(1) ; clf ;
  ker = vl_alldist(x, y, 'kchi2') ;
  ker_ = psix' * psiy ;
  plot([ker ; ker_]') ;


Note


The homogeneous kernels K(X,Y) are normally defined for
non-negative data only. VL_HOMKERMAP defines them for both
positive and negative data by using the definition
SIGN(X)SIGN(Y)K(ABS(X),ABS(Y)) -- note that other extensions are
possible as well (see [2]).


REFERENCES


[1] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
Proc. CVPR, 2010.


[2] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
PAMI, 2011 (submitted).


See also: VL_HELP().


   

   
 

  
 
   
 
 


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SEL = VL_IHASHFIND(ID, NEXT, K, X) returns a vector SEL of the
entires in the hash table ID,NEXT,K corresponding to the labels
stored as columns of X.


The format is the same as for the functino VL_IHASHSUM().


See also: VL_IHASHSUM().


   

   
 

  
 
   
 
 


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[H,ID,NEXT] = VL_IHASHSUM(H,ID,NEXT,K,X) counts the number of
occurences of the columns of X, accumulating these to the hash
table represented by the tripled H,ID,NEXT.


X is a D x N array of class UINT8 each row of which defines an D
dimensional label. Labels cannot be all zeros.


H and NEXT are 1 x C arrays of class UINT32 and ID is a D x C
array of class UINT8. H is a vector of counts, ID stores, for each
element of H, the corresponding label, and NEXT is a vector of
indexes.


Once constructed, the hash table can be searched by means of the
VL_IHASHFIND() function.


The hash table uses double hashing [1] with an initial size equal
to K (so that C >= K). Given a label X, this is first hashed by
using the FNV algorithm [2] to one of K bucket. If this bucket is
free, it is assigned to label X and the count is incremented.  If
the bucket is already assigned to the same label X, the count is
incremented. If the bucket is already assigned to a different
label, a second hash is used to scan (probe) the table for a free
bucket.


If no free/matching bucket is found (because the hash table is
full) an overflow area containing extra buckets is used. This is
visited by reading off indexe from the NEXT vector, until a
matching bucket is found or the overflow area is enlarged.


Example


The following example counts integer bi-dimensional label
occurences:

  K = 5 ;
  h = zeros(1,K,'uint32') ;
  id = zeros(2,K,'uint8');
  next = zeros(1,K,'uint32') ;
  X = uint8([1 1 ; 1 2 ; 2 1 ; 1 1]') ;
  [h,id,next] = vl_ihashsum(h,id,next,K,X) ;


resulting in

  h = [1 0 1 2 0]
  id = [1    0    2    1    0
        2    0    1    1    0]
  next = [0 0 0 0 0]


For example, [1;2] has a count of 1 and [1;1] has a count of
2. NEXT is zero because there have been no collisions.


REFERENCES


[1] http://en.wikipedia.org/wiki/Double_hashing
[2] http://www.isthe.com/chongo/tech/comp/fnv


See also: VL_IHASHFIND().


   

   
 

  
 
   
 
 


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OM = VL_IHAT(H) returns a vector OM such that VL_HAT(OM) = H.
H hast to be 3x3 skew-symmetric.


See also: VL_HAT(), VL_HELP().


   

   
 

  
 
   
 
 


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C = VL_IKMEANS(X,K) returns the centers of a K-means paritioning of
the data space X. X must be of class UINT8. C is of class UINT32.


[C, I] = VL_IKMEANS(...) returns the cluster associations I of the
data as well.


VL_IKMEANS() accepts the following options:


MaxPasses
200

Maximum number of iterations before giving up (the algorithm
stops as soon as there is no change in the data to cluster
associations).


Method
Lloyd

Algorithm to use ('Lloyd', 'Elkan').


Verbose


Increase the verbosity level.


   

   
 

  
 
   
 
 


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H = VL_IKMEANSHIST(K,ASGN) computes the histogram of the IKM clusters
activated by cluster assignments ASGN.


See also: VL_IKMEANS(), VL_IKMEANSPUSH(), VL_HELP().


   

   
 

  
 
   
 
 


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I = VL_IKMEANSPUSH(X,C) projects the data X to the integer K-meanns
clusters of centers C returning the cluster indeces I.


See also: VL_IKMEANS(), VL_HELP().


   

   
 

  
 
   
 
 


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J=VL_IMARRAY(A) creates a mosaic J from the array of images A. A
can be either a M*N*K array, storing one gray-scale image per
slice, or a M*N*3*K or M*N*K*3 array, storing a true color RGB
image per slice. The function returns an image J which is a tiling
of the images in the array. Tiles are filled from left to right
and top to bottom.


VL_IMARRAY(...) displays the image J rather than returning it.


VL_IMARRAY() accepts the following options:


Spacing
0

Separate the images by a border of the specified width (the
border is assigned 0 value, which usually corresponds to black).


Layout
empty

Specify a vector [TM TN] with the number of rows and columns of
the tiling. If equal to [] the layout is computed automatically.


Movie
false

Display or return a movie instead of generating a tiling.


CMap
[]

Specify a colormap to construct a movie when the input is an
indexed image array. If not specified, MATLAB default colormap
is used.


Reverse
true

Start filling the mosaic tiles from the bottom rather than from
the top.


See also:VL_IMARRAYSC(), VL_HELP().


   

   
 

  
 
   
 
 


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J=VL_IMARRAYSC(A) constructs an image mosaic similar to
J=VL_IMARRAY(A), but it rescales the range of each image in the
array. If A is an array of grayscale images, J will index all the
colors in the current colormap; if A is a true color image, J will
span the range [0,1].


If A is of an integer class, J will be of class single SINGLE class.


VL_IMARRAYSC(...) displays the image J rather than returning it.


VL_IMARRAYSC() accepts the options of VL_IMARRAY() and:


CLim
[]

Rescale the specified range of values rather than the actual
range of each image.


Uniform
[false]

Rescale the range of all the images together, rather than on
an image-by-image basis.


CMap
[]

Use the specified color map as a reference rather than the
current or default one.


Algorithm


CLim is seet to the image range [m, M], where m is the minimum
value of an image and M is the maximum. The image range CLim is
then affinely mapped to the integers from 1 to C, where C is the
number of colors in the colormap, or to the range [0,1] for true
color images. The mapping is done so that the first color is
assigned the first subinterval of length C of the range [m,M]
and so on.


See also: VL_IMARRAY(), VL_HELP(), IMAGE().


   

   
 

  
 
   
 
 


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DT = VL_IMDISTTF(I) computes the distance transform of image I.
The distance transform is defined as

    DT(x,y) = min_{u,v} I(u,v) + (u - x)^2 + (v - y)^2.


[D, INDEXES] = VL_IMDISTTF(...) returns a matrix INDEXES that
contains for each pixel (x,y) the index of the pixel (u,v) which
is the minimizer of the distance transform objective.


VL_IMDSITTF(I, PARAM) uses differenet parameters for the
transform:

   DT(u,v) = min_{u,v} I(u,v) + PARAM(1) (u - x - PARAM(2))^2
                              + PARAM(3) (v - y - PARAM(4))^2


The function uses the fast algorithm from [1].


REFERENCES


[1] P. F. Felzenszwalb and D. P. Huttenlocher. Distance transforms
of sampled functions. Technical report, Cornell University, 2004.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_IMDOWN(I) downsamples the image I by half by discarding
each other pixel.


VL_IMDOWN() accepts the following options:


Method
Sample

'Sample' downsamples the image by discarding
pixels. 'Average' instead averages groups of 2x2 pixels.


See also: VL_IMUP(), VL_HELP().


   

   
 

  
 
   
 
 


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[Fx,Fy] = VL_GRAD(F) returns the finite differencies gradient of the
image F. The function uses central differencies and for all but
the boundaries pixels, for which it uses forward/backward
differencies as appropriate.


VL_GRAD(F,'forward') uses only forward differencies (except on the
lower and right boundaries, where backward difference is used).
Similarly, VL_GRAD(F,'backward') uses only backward differencies.


See also: GRADIENT(), VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_IMINTEGRAL(I) calculates the integral image J of the image
I.  I must a matrix with DOUBLE, SINGLE, UINT32, or INT32 storage
class. J is given by

 J(i,j) = sum(I(1:i,1:j)).


J has the same size as I and the same storage class.


Example


The following identity holds:

  VL_IMINTEGRAL(ONES(3)) = [ 1 2 3 ;
                             2 4 6 ;
                             3 6 9 ]


See also: VL_HELP().


   

   
 

  
 
   
 
 


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IM=VLPATTERN(NAME) returns an instance of the specified
pattern. These stock patterns are useful for testing algoirthms.


All generated patterns are returned as an image of class
DOUBLE. Both gray-scale and colour images have range in [0,1].


VL_IMPATTERN() without arguments shows a gallery of the stock
patterns. The following patterns are supported:


Wedge


The image of a wedge.


Cone


The image of a cone.


SmoothChecker


A checkerboard with Gaussian filtering on top. Use the
option-value pair 'sigma', SIGMA to specify the standard
deviation of the smoothing and the pair 'step', STEP to specfity
the checker size in pixels.


ThreeDotsSquare


A pattern with three small dots and two squares.


UniformNoise


Random i.i.d. noise.


Blobs:

  Gaussian blobs of various sizes and anisotropies.


Blobs1:

  Gaussian blobs of various orientations and anisotropies.


Blob:

  One Gaussian blob. Use the option-value pairs 'sigma',
  'orientation', and 'anisotropy' to specify the respective
  parameters. 'sigma' is the scalar standard deviation of an
  isotropic blob (the image domain is the rectangle
  [-1,1]^2). 'orientation' is the clockwise rotation (as the Y
  axis points downards). 'anisotropy' (>= 1) is the ratio of the
  the largest over the smallest axis of the blob (the smallest
  axis length is set by 'sigma'). Set 'cut' to TRUE to cut half
  half of the blob.


A stock image


Any of 'box', 'roofs1', 'roofs2', 'river1', 'river2', 'spotted'.


All pattern accept a SIZE parameter [WIDTH,HEIGHT]. For all but
the stock images, the default size is [128,128].


   

   
 

  
 
   
 
 


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I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
result to a gray scale image (DOUBLE storage class ranging in
[0,1]).


VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).


See also: RGB2DOUBLE(), VL_HELP().


   

   
 

  
 
   
 
 


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I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
result to a gray scale image (DOUBLE storage class ranging in
[0,1]).


VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).


See also: RGB2DOUBLE(), VL_HELP().


   

   
 

  
 
   
 
 


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J=VL_IMSC(I) scales the range of the gray-scale or color image I to
fit in the interval [0,1].


See also: VL_HELP().


   

   
 

  
 
   
 
 


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ISEG = VL_IMSEG(I,LABELS) labels ISEG with the average color from I of
each cluster indicated by LABELS.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_IMSMOOTH(I,SIGMA) convolves the image I by an isotropic
Gaussian kernel of standard deviation SIGMA.  I must be an array
of doubles. IF the array is three dimensional, the third dimension
is assumed to span different channels (e.g. R,G,B). In this case,
each channel is convolved independently.


VL_IMSMOOTH() accepts the following options:


Kernel


Selects between GAUSSIAN and TRIANGULAR kernels. The triangular
kernel support has 2*SIGMA-1 sampels. Kernels have unit mass.


Padding


Selects between ZERO or CONTINUITY padding method to handle the
image boundaries. ZERO extends the input image with zeroes
around the border, and CONTINUITY extends the image with
constant pixels.


Step


Sets the subsampling step. A subsampling step of STEP pixels
causes J(1:STEPS:end, 1:STEPS:end, :) to be computed. This is
useful to downsample the image.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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J=VL_IMUP(I) doubles the resolution of the image I by using
bilinear interpolation.


See also: VL_IMDOWN(), VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_IMWBACKWARD(I, X, Y) returns the values of image I at
locations X,Y. X and Y are real matrices of arbitrary but
identical dimensions. I is bilinearly interpolated between samples
and extended with NaNs to the whole real plane.


[J,JX,JY] = VL_IMWBACKWARD(...) returns the warped derivatives JX and
JY too.


By default, VL_IMWBACKWARD() assumes that the image I uses the standard
coordinate system. VL_IMWBACKWARD(XR,YR,I,X,Y) assumes instead that I
is defined on a rectangular grid specified by the vectors XR and
YR.


VL_IMWBACKWARD() is less general than the MATLAB native function
INTERP2(), but it is significantly faster.


See also: IMWFORWARD(), INTERP2(), VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_IMWHITEN(I,ALPHA) approximatively whitens the power spectrum
of the natural image I. The algorithm assumes that the modulus of
the spectrum decays as 1/f^ALPHA (f is the frequency).


VL_IMWHITEN(I) uses ALPHA=1 (a typical value for natural images).


VL_IMWHITEN(I,ALPHA,CUTOFF) also applies a low-pass filter with
cutoff frequency equal to CUTOFF x FN, where FN is the Nyquist
frequency (half of the sampling frequency).


See also: VL_HELP().


   

   
 

  
 
   
 
 


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INTHIST = VL_INTHIST(LABELS) computes the integral histogram for
the label map(s) LABELS.


LABELS is a [M,N,L] UINT32 array containing L label maps (one for
each MxN layer). Each label map associates to each of the MxN
pixels one of K labels (a value of 0 denotes no association) with
unitary mass.


INTHIST is the [M,N,K] integral histogram obtained by integrating
the label maps (an integral histogram is just an array of K
integral images, one for each of the K labels). All layers of
labels are accumulated to the same integral histogram.


The total number of labels K is obtained as the maximum value of
LABELS. VL_INTHIST(..., 'NUMLABELS', K) specifies the number of
labels explicitly.


VL_INTHIST(..., 'MASS', MASSES) specifies a mass MASSES for each
entry of LABELS. MASSES can be either of class UINT32 or DOUBLE,
and the class of INTHIST varies accordingly.


See also: VL_IMINTEGRAL(), VL_SAMPLEINTHIST(), VL_HELP().


   

   
 

  
 
   
 
 


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OM = VL_IRODR(R) where R is a rotation matrix computes the the
inverse Rodrigues' formula of om, returning the rotation matrix R
= dehat(Logm(OM)).


[OM,DOM] = VL_IRODR(R) computes also the derivative of the Rodrigues'
formula. In matrix notation this is the expression

       d( dehat logm(vl_hat(R)) )
  dom = ----------------------.
               d(vec R)^T


[OM,DOM] = VL_IRODR(R) when R is a 9xK matrix repeats the operation
for each column (or equivalently matrix with 9*K elements). In
this case OM and DOM are arrays with K slices, one per rotation.


See also: VL_RODR(), VL_HELP().


   

   
 

  
 
   
 
 


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FOREST = VL_KDTREEBUILD(X) returns a structure FOREST containing
the kd-tree indexing the data X. X is a M x N dimensional matrix
of class DOUBLE or SINGLE with one data point per column. Use
VL_KDTREEQUERY() to query the index.


VL_KDETREEBUILD() accepts the following options:


NumTrees
[1]

Specifies the number of semi-randomized KD-trees to add to the
forest. Multiple trees can be used to improve approximate
nearest-neighbors searches with VL_KDTREEQUERY().


ThresholdMethod
[MEDIAN]

Specifies the thresholding method used to split the data.  Two
methods are supported: split around the median (MEDIAN) or split
around the mean (MEAN).


Verbose


Increases the verbosity level (can be repeated).


The FOREST structure has the following fields:


FOREST.TREES


A structure array with one element per tree.


FOREST.DIMENSION


Dimensionality of the indexed data.


FOREST.NUMDATA


Number of indexed data points.


The TREE structure has the following fields:


TREE.NODES


A structure array representing the nodes of the tree.


TREE.DATAINDEX


A 1 x NUMDATA vector of class UINT32 representing a permutation
of the data.


Nodes are numbered from 1 to NUMNODES.  The NODES structure array
has the following fields:


NODES.LOWERCHILD and NODES.UPPERCHILD


1 x NUMNODES vectors of class INT32. A positive value is the
index of the lower/upper child node. A negative value denotes a
leaf and is (after negation) is the first or last element plus
one of a range of entries in the permutation TREE.DATAINDEX.
Such entries are in turn indexes of the data points that belong
to that leaf. Typically there is one point per leaf.


NODES.SPLITDIMENSION and NODES.SPLITTHRESHOLD


1 x NUMNODES vector of class UINT32 and DOUBLE, respectively,
with the index of the splitting dimension and the threshold for
each node.


See also: VL_KDTREEQUERY(), VL_HELP().


   

   
 

  
 
   
 
 


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[INDEX, DIST] = VL_KDTREEQUERY(KDTREE, X, Y) computes the nearest
column of X to each column of Y (in Euclidean distance). KDTREE is
a forest of kd-trees build by VL_KDTREEBUILD(). X is a
NUMDIMENSIONS x NUMDATA data matrix of class SINGLE or DOUBLE with
the data indexed by the kd-trees (it must be the same data matrix
passed to VK_KDTREEBUILD() to build the trees). Y is the
NUMDIMENSIONS x NUMQUERIES matrix of query points and must have
the same class of X. INDEX is a 1 x NUMQUERIES matrix of class
UINT32 with the index of the nearest column of X for each column
of Y. DIST is a 1 x NUMQUERIES vector of class SINGLE or DOUBLE
(depending on the class of X and Y) with the corresponding squared
Euclidean distances.


[INDEX, DIST] = VL_KDTREEQUERY(..., 'NUMNEIGHBORS', NN) can be
used to return the N nearest neighbors rather than just the
nearest one. In this case INDEX and DIST are NN x NUMQUERIES
matrices. Neighbors are returned by increasing distance.


VL_KDTREEQUERY(..., 'MAXNUMCOMPARISONS', NCOMP) performs at most
NCOMP comparisons for each query point. In this case the result is
only approximate (i.e. approximated nearest-neighbors, or ANNs)
but the speed can be greatly improved.


Options:


NumNeighbors


Sets the number of neighbors to compute for each query point (by
default 1).


MaxNumComparisons


Sets the maximum number of comparisons per query point. The
special value 0 means unbounded. The default is 0.


See also: VL_KDTREEBUILD(), VL_HELP().


   

   
 

  
 
   
 
 


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[C, A] = VL_KMEANS(X, NUMCENTERS) clusters the columns of the
matrix X in NUMCENTERS centers C using k-means. X may be either
SINGLE or DOUBLE. C has the same number of rows of X and NUMCENTER
columns, with one column per center. A is a UINT32 row vector
specifying the assignments of the data X to the NUMCENTER
centers.


[C, A, ENERGY] = VL_KMEANS(...) returns the energy of the solution
(or an upper bound for the ELKAN algorithm) as well.


KMEANS() supports different initialization and optimization
methods and different clustering distances. Specifically, the
following options are supported:


Verbose


Increase the verbosity level (may be specified multiple times).


Distance
[L2]

Use either L1 or L2 distance.


Initialization


Use either random data points (RANDSEL) or k-means++ (PLUSPLUS)
to initialize the centers.


Algorithm
[LLOYD]

Use either the standard LLOYD or the accelerated
ELKAN algorithm for optimization.


NumRepetitions
[1]

Number of time to restart k-means. The solution with minimal
energy is returned.


Example


VL_KMEANS(X, 10, 'verbose', 'distance', 'l1', 'algorithm',
'elkan') clusters the data point X using 10 centers, l1
distance, and the Elkan's algorithm.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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F = VL_LBP(IM, CELLSIZE) computes the Local Binary Pattern (LBP)
features for image I.


IM is divided in cells of size CELLSIZE. F is a three-dimensional
array containing one histograms of quantized LBP features per
cell. The witdh of F is FLOOR(WIDTH/CELLSIZE), where WIDTH is the
width of the image. The same for the height. The third dimension
is 58.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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F = VL_LBPFLIPLR(F) flips the LBP features F from left to
right.


Example


The following instructions return results almost identical
assuming that the width of I is exactly divisible by the cell
size:

  F = VL_LBP(FLIPLR(I), 8)
  F_ = VL_LBPFLIPLR(VL_LBP(I), 8)


See also: VL_LBP(), VL_HELP().


   

   
 

  
 
   
 
 


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PROPR = VL_LINESPEC2PROP(SPEC) converts the string SPEC to a cell
array of properties PROPR. SPEC is in the format of PLOT().


If SPEC is not in a recognized format, the string SPEC is returned
unaltered as the only element of PROPR.


See also: VL_PLOTFRAME(), PLOT(), VL_HELP().


   

   
 

  
 
   
 
 


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SEL=VL_LOCALMAX(F) returns the indexes of the local maximizers of
the Q-dimensional array F.


A local maximizer is an array element whose value is larger than
the value of all its neighbors.  The neighbors of an element
i1...iQ have subscripts j1...jQ such that iq-1 <= jq <= iq
(excluding i1...iQ itself).  For example, if Q=1 the neighbors of
an element are its predecessor and successor in the linear order;
if Q=2, its neighbors are the elements immediately to its north,
south, west, est, north-west, north-est, south-west and south-est
(8-neighborhood).


Points on the boundary of F are ignored (and never selected as
local maximizers).


SEL=VL_LOCALMAX(F,THRESH) accepts an element as a mazimizer only
if it is not smaller than THRESH.


SEL=VL_LOCALMAX(F,THRESH,P) looks for neighbors only in the first
P dimensions of the Q-dimensional array F. This allows to process
F in ``slices''.


Remark


Matrices (2-array) with a singleton dimension are
interpreted as vectors (1-array). So for example VL_LOCALMAX([0 1
0]) and VL_LOCALMAX([0 1 0]') both return 2 as an aswer. However,
if [0 1 0] is to be interpreted as a 1x2 matrix, then the
correct answer is the empty set, as all elements are on the
boundary. Unfortunately MATLAB does not distinguish between
vectors and 2-matrices with a singleton dimension.  To forece
the interpretation of all matrices as 2-arrays, use
VL_LOCALMAX(F,TRESH,2) (but note that in this case the result is
always empty!).


See also: VL_HELP().


   

   
 

  
 
   
 
 


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D = VL_MAKETRAININGSET(X, Y) creates a training set struct D, given
the training vectors X and their labels Y. The training set D has
the fields DATA and LABELS.


If the HOMKERMAP option is used, a third field MAP is present in
D. MAP is another struct with the following fields:


order


Order of the homogeneous kernel map.


kernelType


Type of kernel.


windowType


Type of window.


gamma


Value of the parameter GAMMA.


period


Value of the parameter PERIOD.


VL_MAKETRAININGSET() accepts the following options:


HOMKERMAP
[empty]

Specify the use of an Homogeneus Kernel map for the training
data (See [2],[3]). The passed value N is such that a 2*N+1
dimensional approximated kernel map is computed. Each
training data point is expanded online into a vector of
dimension 2*N+1.


KChi2


Compute the map for the Chi2 kernel.


KINTERS


Compute the map for the intersection kernel.


KL1


Same as KINTERS, but deprecated as the name is not fully
accurate.


KJS


Compute the map for the JS (Jensen-Shannon) kernel.


Period
[automatically tuned]

Set the period of the kernel specturm. The approximation is
based on periodicizing the kernel specturm. If not specified,
the period is automatically set based on the heuristic described
in [2].


Window
[RECTANGULAR]

Set the window used to truncate the spectrum before The window
can be either RECTANGULAR or UNIFORM window. See [2] and the API
documentation for details.


Gamma
[1]

Set the homogeneity degree of the kernel. The standard kernels
are 1-homogeneous, but sometimes smaller values perform better
in applications. See [2] for details.


Example


VL_MAKETRAININGSET must be used together with VL_SVMPEGASOS,

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(x,y) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;


See also: VL_SVMPEGASOS(), VL_HOMKERMAP(), VL_HELP().


   

   
 

  
 
   
 
 


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R=VL_MSER(I) computes the Maximally Stable Extremal Regions (MSER)
[1] of image I with stability threshold DELTA. I is any array of
class UINT8. R is a vector of region seeds.


A (maximally stable) extremal region is just a connected component
of one of the level sets of the image I.  An extremal region can
be recovered from a seed X as the connected component of the level
set {Y: I(Y) <= I(X)} which contains the pixel o index X.


The function supports images of arbitrary dimension D.


[R,F]=VL_MSER(...) also returns ellipsoids F fitted to the regions.
Each column of F describes an ellipsoid; F(1:D,i) is the center of
the elliposid and F(D:end,i) are the independent elements of the
co-variance matrix of the ellipsoid.


Ellipsoids are computed according to the same reference frame of I
seen as a matrix. This means that the first coordinate spans the
first dimension of I.


Notice that for 2-D images usually the opposite convention is used
(i.e. the first coordinate is the x-axis, which corresponds to the
column index). Thus, if the function VL_PLOTFRAME() is used to plot
the ellipses, the frames F should be `transposed' as in F = F([2
1 5 4 3],:). VL_ERTR() exists for this purpose.


VL_MSER(I,'Option'[,Value]...) accepts the following options


Delta
[5]

Set the DELTA parameter of the VL_MSER algorithm. Roughly
speaking, the stability of a region is the relative variation
of the region area when the intensity is changed of +/-
Delta/2.


MaxArea
[0.75]

Set the maximum area (volume) of the regions relative to
the image domain area (volume).


MinArea
[3 / numPixels]

Set the minimum area (volume) of the regions relative to
the image domain area (volume).


MaxVariation
[0.25]

Set the maximum variation (absolute stability score) of the
regions.


MinDiversity
[0.2]

Set the minimum diversity of the region. When the relative
area variation of two nested regions is below this threshold,
then only the most stable one is selected.


BrightOnDark
[1]

Detect bright-on-dark MSERs. This corresponds to MSERs of the
inverted image.


DarkOnBright
[1]

Detect dark-on-bright MSERs. This corresponds to MSERs of the
original image.


Verbose


Be verbose.


REFERENCES


[1] J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust wide
baseline stereo from maximally stable extremal regions," in
Proc. BMVC, 2002.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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VL_NOPREFIX() creats prefix-less stubs for VLFeat functions
(e.g. SIFT for VL_SIFT). This function is seldom used as the stubs
are included in the VLFeat binary distribution anyways. Moreover,
on UNIX platforms, the stubs are generally constructed by the
Makefile.


See also: VL_COMPILE(), VL_HELP().


   

   
 

  
 
   
 
 


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D = VL_NUMDER(FUNC, X) computes the numerical derivative of the
function FUNC at point X. X is a real array and is passed as first
argument of FUNC.


D = VL_NUMDER(FUNC, X, ARG1, ARG2, ...) passes ARG1, ARG2, ...  as
additional arguments to the function FUNC.


See also: VL_NUMDER2(), VL_HELP().


   

   
 

  
 
   
 
 


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D = VL_NUMDER2(FUNC, X) computes the numerical second derivative of
the function FUNC at point X.


D = VL_NUMDER2(FUNC, X, ARG1, ARG2, ...) allow to pass extra
parameters to the function FUNC.


See also: VL_NUMDER(), VL_HELP().


   

   
 

  
 
   
 
 


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CONFIG = VL_OVERRIDE(CONFIG, UPDATE) copies recursively the fileds
of the structure UPDATE to the corresponding fields of the
struture CONFIG.


Usually CONFIG is interpreted as a list of paramters with their
default values and UPDATE as a list of new paramete values.


VL_OVERRIDE(..., 'Warn') prints a warning message whenever: (i)
UPDATE has a field not found in CONFIG, or (ii) non-leaf values of
CONFIG are overwritten.


VL_OVERRIDE(..., 'Skip') skips fields of UPDATE that are not found
in CONFIG instead of copying them.


VL_OVERRIDE(..., 'CaseI') matches field names in a
case-insensitive manner.


Remark


Fields are copied at the deepest possible level. For instance,
if CONFIG has fields A.B.C1=1 and A.B.C2=2, and if UPDATE is the
structure A.B.C1=3, then VL_OVERRIDE() returns a strucuture with
fields A.B.C1=3, A.B.C2=2. By contrast, if UPDATE is the
structure A.B=4, then the field A.B is copied, and VL_OVERRIDE()
returns the structure A.B=4 (specifying 'Warn' would warn about
the fact that the substructure B.C1, B.C2 is being deleted).


Remark


Two fields are matched if they correspond exactly. Specifically,
two fileds A(IA).(FA) and B(IA).FB of two struct arrays A and B
match if, and only if, (i) A and B have the same dimensions,
(ii) IA == IB, and (iii) FA == FB.


See also: VL_ARGPARSE(), VL_HELP().


   

   
 

  
 
   
 
 


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W = VL_PEGASOS(X, Y, LAMBDA) learns a linear SVM W given training
vectors X, their labels Y, and the regularization parameter LAMBDA
using the PEGASOS [1] solver. The algorithm finds a minimizer W of
the objective function

  LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))


where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
the number of training vectors in X.


[W B INFO] = VL_SVMPEGASOS(X, Y, LAMBDA) learns a linear SVM W
and a bias B given training vectors X, their labels Y, and the
regularization parameter LAMBDA using the PEGASOS [1]
solver. INFO is a struct containing the input parameters plus
diagnostic informations:


energy


SVM energy value.


iterations


Number of iterations performed.


elapseTime


Elapsed time since the start of the SVM learning.


regulizerTerm


Value of the SVM regulizer term.


lossPos


Value of loss function only for data points labeled positives.


lossNeg


Value of loss function onlt for data points labeled negatives.


hardLossPos


Number of mislabeled positive points.


hardLossNeg


Number of mislabeled negative points.


ALGORITHM. PEGASOS is an implementation of stochastic subgradient
descent. At each iteration a data point is selected at random, the
subgradient of the cost function relative to that data point is
computed, and a step is taken in that direction. The step size is
inversely proportional to the iteration number. See [1] for
details.


VL_SVMPEGASOS() accepts the following options:


Epsilon
[empty]

Specify the SVM stopping criterion threshold. If not
specified VL_SVMPEGASOS will finish when the maximum number
of iterations is reached. The stopping criterion is tested
after each ENERGYFREQ iteration.


MaxIterations
[10 / LAMBDA]

Sets the maximum number of iterations.


BiasMultiplier
[0]

Appends to the data X the specified scalar value B. This
approximates the training of a linear SVM with bias.


StartingModel
[null vector]

Specify the initial value for the weight vector W.


StartingIteration
[1]

Specify the iteration number to start from. The only effect
is to change the step size, as this is inversely proportional
to the iteration number.


StartingBias
[0]

Specify the inital bias value.


BiasLearningRate
[1]

Specify the frequency of the bias learning. The default
setting updates the bias at each iteration.


Permutation
[empty]

Specify a permutation PERM to be used to sample the data (this
disables random sampling). Specifically, at the T-th iteration
the algorithm takes a step w.r.t. the PERM[T']-th data point,
where T' is T modulo the number of data samples
(i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
bijective. This allows specifying certain data points more or
less frequently, implicitly increasing their relative weight in
the error term. A common application is to balance an unbalanced
dataset.


DiagnosticFunction
[empty]

Specify a function handle to be called every ENERGYFREQ iterations.


DiagnosticCallRef
[empty]

Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.


EnergyFreq
[100]

Specify how often the SVM energy is computed.


HOMKERMAP
[empty]

Specify the use of an Homogeneus Kernel map for the training
data (See [2],[3]). The passed value N is such that a 2*N+1
dimensional approximated kernel map is computed. Each
training data point is expanded online into a vector of
dimension 2*N+1.


KChi2


Compute the map for the Chi2 kernel.


KINTERS


Compute the map for the intersection kernel.


KL1


Same as KINTERS, but deprecated as the name is not fully
accurate.


KJS


Compute the map for the JS (Jensen-Shannon) kernel.


Period
[automatically tuned]

Set the period of the kernel specturm. The approximation is
based on periodicizing the kernel specturm. If not specified,
the period is automatically set based on the heuristic described
in [2].


Window
[RECTANGULAR]

Set the window used to truncate the spectrum before The window
can be either RECTANGULAR or UNIFORM window. See [2] and the API
documentation for details.


Gamma
[1]

Set the homogeneity degree of the kernel. The standard kernels
are 1-homogeneous, but sometimes smaller values perform better
in applications. See [2] for details.


Verbose


Be verbose.


Example


The options StartingModel and StartingIteration can be used
to continue training. I.e., the command

  vl_twister('state',0) ;
  w = vl_pegasos(x,y,lambda,'NumIterations',1000) ;


produces the same result as the sequence

  vl_twister('state',0) ;
  w = vl_pegasos(x,y,lambda,'NumIterations',500) ;
  w = vl_pegasos(x,y,lambda,'NumIterations',500, ...
                 'StartingIteration', 501, ...
                 'StartingModel', w) ;


REFERENCES


[1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
SVM. MBP, 2010.


[2] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
Proc. CVPR, 2010.


[3] A. Vedaldi and A. Zisserman
`Efficient Additive Kernels via Explicit Feature Maps',
PAMI, 2011 (submitted).


See also: VL_HOMKERMAP(), VL_HELP().


   

   
 

  
 
   
 
 


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[FRAMES, DESCRS] = VL_PHOW(IM) extracts PHOW features from the
image IM. This function is a wrapper around VL_DSIFT() and
VL_IMSMOOTH().


The PHOW descriptors where introduced in [1]. By default,
VL_PHOW() computes the gray-scale variant of the descriptor.  The
COLOR option can be used to compute the color variant instead.


Verbose
[false]

Set to true to turn on verbose output.


Sizes
[[4 6 8 10]]

Scales at which the dense SIFT features are extracted. Each
value is used as bin size for the VL_DSIFT() function.


Fast
[true]

Set to false to turn off the fast SIFT features computation by
VL_DSIFT().


Step
[2]

Step (in pixels) of the grid at which the dense SIFT features
are extracted.


Color
[GRAY]

Choose between GRAY (PHOW-gray), RGB, HSV, and OPPONENT
(PHOW-color).


ContrastThreshold
[0.005]

Contrast threshold below which SIFT features are mapped to
zero. The input image is scaled to have intensity range in [0,1]
(rather than [0,255]) and this value is compared to the
descriptor norm as returned by VL_DSIFT().


WindowSize
[1.5]

Size of the Gaussian window in units of spatial bins.


Magnif
[6]

The image is smoothed by a Gaussian kernel of standard deviation
SIZE / MAGNIF.


FloatDescriptors
[false]

If set to TRUE, the descriptors are returned in floating point
format.


See also: VL_DSIFT(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_PLOTFRAME(FRAME) plots the frames FRAME.  Frames are attributed
image regions (as, for example, extracted by a feature detector). A
frame is a vector of D=2,3,..,6 real numbers, depending on its
class. VL_PLOTFRAME() supports the following classes:

 * POINTS
   + FRAME(1:2)   coordinates

 * CIRCLES
   + FRAME(1:2)   center
   + FRAME(3)     radius

 * ORIENTED CIRCLES
   + FRAME(1:2)   center
   + FRAME(3)     radius
   + FRAME(4)     orientation

 * ELLIPSES
   + FRAME(1:2)   center
   + FRAME(3:5)   S11, S12, S22 such that ELLIPSE = {x: x' inv(S) x = 1}.

 * ORIENTED ELLIPSES
   + FRAME(1:2)   center
   + FRAME(3:6)   stacking of A such that ELLIPSE = {A x : |x| = 1}


H = VL_PLOTFRAME(...) returns the handle of the graphical object
representing the frames.


VL_PLOTFRAME(FRAMES) where FRAMES is a matrix whose column are
FRAME vectors plots all frames simultaneously. Using this call is
much faster than calling VL_PLOTFRAME() for each frame.


VL_PLOTFRAME(FRAMES,...) passes any extra argument to the
underlying plot function. The first optional argument can be a line
specification string such as the one used by PLOT().


See also: VL_HELP().


   

   
 

  
 
   
 
 


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VL_PLOTGRID(X,Y) plots a grid with vertices (X,Y). X and Y are MxN
matrices, with one entry per vertex.


H=VL_PLOTGRID(...) returns the handle to the grid object.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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VL_PLOTPOINT(V) plots the 2 or 3 dimensional points V. V is a 2xK or
3xK array, with one point per column.


H=VL_PLOTPOINT(...) returns the handle H of the plot.


VL_PLOTPOINT() is a simple wrapper around the PLOT() and PLOT3()
functions. By default, VL_PLOTPOINT(V) plots the points with line
style '.'.  VL_PLOTPOINT(V,...) does not use the default line style;
rather it passess any extra argument to the underlying plot
function.


See also: PLOT(), PLOT3(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptors D, stored as
columns of the matrix D. D has the same format used by VL_SIFT().


VL_PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warped to
the SIFT frames F, specified as columns of the matrix F. F has the
same format used by VL_SIFT().


H=VL_PLOTSIFTDESCRIPTOR(...) returns the handle H to the line drawing
representing the descriptors.


REMARK. By default, the function assumes descriptors with 4x4
spatial bins and 8 orientation bins (Lowe's default.)


The function supports the following options


NumSpatialBins
[4]

Number of spatial bins in each spatial direction.


NumOrientBins
[8]

Number of orientation bis.


Magnif
[3]

Magnification factor.


See also: VL_SIFT(), VL_PLOTFRAME(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_PLOTSS(SS) plots the scale space SS. SS is a structure
with the following members:


ss.firstOctave


The index of the first octave in the scale space.


ss.lastOctave


The index of the last octave in the scale space.


ss.octaveResolution


The octave resolution, i.e. the nubmer of subdivisions
per octave.


ss.octaveFirstLevel


The index of the first level of subdivisions for each octave.


ss.octaveLastLevel


The iundex of last leve of subdivisions for each cotave.


ss.data


A cell array of 3D arrays representing the scale space data.
The cell array has a length equal to the nubmer of octaves
contained in the scale space. Each entry is a 3D array, the
first two dimensions of which correspond to image rows and
columns respectively, and the third to scale levels.


ss.sigma0


Base smoothing.


A scale space is a representation of a 2D signal (image) at
multiple scales. In the simplest case, a scale SIGMA is defined as
the input image I(x,y) convolved by a Gaussian kernel of isotropic
standard deviation SIGMA:

  I(x,y;sigma) = (g_sigma * I)(x,y)


where scales are sampled as follows:

  sigma(o,s) = sigma0 2^{o + s / ss.octaveResolution),
  ss.firstOctave <= o <= ss.lastOctave,
  ss.octaveFirstLeve <= s <= ss.octaveLastLevel.


Moving from one octave to the next, the size of the kernel
doubles. Hence the effective bandwith of the signal halves, and
resolution can be reduced by half. Typically, for example, sigma0
= 1.6, so at octave 0 the image can be effectively sampled with a
step of 1, and the resolution of octave 0 is the same as the one
at which the input image is presented. Then at octave o the
sampling step is 2^o.


ss.octaveResolution is the number of scale subdivisions per
octave. ss.firstOctave and ss.lastOctave give the additional
flexibility of specifying a range for the level index s to exceed
the standard setting [0, ss.octaveResolution-1]. In this manner
the same scales can be represented twice, at two sampling
rates. This is often convenient in feature computation (e.g. to
find local maxima in scale of a function).


VL_PLOTSS(SS, 'Option', value) supports the following options:


Uniform
false

If TRUE then use a fixed gray scale for all the levels.


   

   
 

  
 
   
 
 


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STYLES = VL_PLOTSTYLE(INDEX) returns a cell array of PLOT() options
for the color/line style of index INDEX. The available styles are
defined the ColorOrder and LineStyleOrder properties of the
current axes and cycled first by color and then by line style.


If there is no current axes can be found, then VL_PLOTSTYLE() uses
the DefaultAxesColorOrder and DefaultLineStyleOrder root
properties.


If INDEXES has more than one element, then VL_PLOTSTYLE(INDEXES)
returns a cell array of styles of the same size of INDEXES.


Example


The code fragment

   set(gca,'LineStyleOrder', {'-','-.'}, 'NextPlot', 'replacechildren') ;
   plot([1 2], [1:20 ; 1:20]') ;


and

  set(gca,'NextPlot', 'replacechildren') ;
  set(gca,'LineStyleOrder', {'-','-.'}) ;
  for i = 1:20
    style = vl_plotstyle(i) ;
    plot([1 2], [i i], style{:}) ;
    hold on ;
  end


produce visually similar results.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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[RECALL, PRECISION] = VL_PR(LABELS, SCORES) computes the
precision-recall (PR) curve. LABELS are the ground truth labels,
greather than zero for a positive sample and smaller than zero for
a negative one. SCORES are the scores of the samples obtained from
a classifier, where lager scores should correspond to positive
samples.


Samples are ranked by decreasing scores, starting from rank 1.
PRECISION(K) and RECALL(K) are the precison and recall when
samples of rank smaller or equal to K-1 are predicted to be
positive and the remaining to be negative. So for example
PRECISION(3) is the percentage of positive samples among the two
samples with largest score. PRECISION(1) is the precision when no
samples are predicted to be positive and is conventionally set to
the value 1.


Set the zero the lables of samples that should be ignored in the
evaluation. Set to -INF the scores of samples which are not
retrieved. If there are samples with -INF score, then the PR curve
may have maximum recall smaller than 1, unless the INCLUDEINF
option is used (see below). The options NUMNEGATIVES and
NUMPOSITIVES can be used to specify additional samples with -INF
score (see below).


[RECALL, PRECISION, INFO] = VL_PR(...) returns an additional
structure INFO with the following fields:


info.auc


The area under the precision-recall curve. If the INTERPOLATE
option is set to FALSE, then trapezoidal interpolation is used
to integrate the PR curve. If the INTERPOLATE option is set to
TRUE, then the curve is piecewise constant and no other
approximation is introduced in the calculation of the area. In
the latter case, INFO.AUC is the same as INFO.AP.


info.ap


Average precision as defined by TREC. This is the average of the
precision observed each time a new positive sample is
recalled. In this calculation, any sample with -INF score
(unless INCLUDEINF is used) and any additional positive induced
by NUMPOSITIVES has precision equal to zero. If the INTERPOLATE
option is set to true, the AP is computed from the interpolated
precision and the result is the same as INFO.AUC. Note that AP
as defined by TREC normally does not use interpolation [1].


info.ap_interp_11


11-points interpolated average precision as defined by TREC.
This is the average of the maximum precision for recall levels
greather than 0.0, 0.1, 0.2, ..., 1.0. This measure was used in
the PASCAL VOC challenge up to the 2008 edition.


info.auc_pa08


Deprecated. It is the same of INFO.AP_INTERP_11.


VL_PR(...) with no output arguments plots the PR curve in the
current axis.


VL_PR() accepts the following options:


Interpolate
false

If set to true, use interpolated precision. The interpolated
precision is defined as the maximum precision for a given recall
level and onwards. Here it is implemented as the culumative
maximum from low to high scores of the precision.


NumPositives
[]

NumNegatives
[]

If set to a number, pretend that LABELS contains this may
positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
smaller than the actual number of positive/negative entrires in
LABELS. The additional positive/negative labels are appended to
the end of the sequence, as if they had -INF scores (not
retrieved). This is useful to evaluate large retrieval systems
for which one stores ony a handful of top results for efficiency
reasons.


IncludeInf
false

If set to true, data with -INF score SCORES is included in the
evaluation and the maximum recall is 1 even if -INF scores are
present. This option does not include any additional positive or
negative data introduced by specifying NUMPOSITIVES and
NUMNEGATIVES.


Stable
false

If set to true, RECALL and PRECISION are returned the same order
of LABELS and SCORES rather than being sorted by decreasing
score (increasing recall). Samples with -INF scores are assigned
RECALL and PRECISION equal to NaN.


About the PR curve


This section uses the same symbols used in the documentation of
the VL_ROC() function. In addition to those quantities, define:

  PRECISION(S) = TP(S) / (TP(S) + FP(S))
  RECALL(S) = TPR(S) = TP(S) / P


The precision is the fraction of positivie predictions which are
correct, and the recall is the fraction of positive labels that
have been correctly classified (recalled). Notice that the recall
is also equal to the true positive rate for the ROC curve (see
VL_ROC()).


REFERENCES:
[1] C. D. Manning, P. Raghavan, and H. Schutze. An Introduction to
Information Retrieval. Cambridge University Press, 2008.


See also VL_ROC(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_PRINTSIZE(R) sets the PaperPosition property of the current
figure so that the width of the figure is the fraction R of a
'uslsetter' page. It also sets the PaperSize property to tightly
match the figure size. In this way, printing to any format crops
the figure similar to what printing to EPS would do.


VL_PRINTSIZE(FIG,R) opearates on the specified figure FIG.


This command is useful to resize a figure before printing it so
that elements are scaled appropriately to match the desired figure
size in print. The function accepts the following optional
arguments:


Aspect
[]

Change the figure aspect ratio (widht/height) to the specified
value.


Reference
'vertical'

If set to 'horizontal' the ratio R is the widht of the figure
over the width of the page. If 'vertical', the ratio R is the
height of the figure over the height of the page.


PaperType
'letter'

Set the type (size) of the reference paperReference. Any of the
paper types supported by MATLAB can be used (see PRINT())).


See also: VL_HELP().


   

   
 

  
 
   
 
 


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[ISEG LABELS MAPS GAPS E] = VL_QUICKSEG(I, RATIO, KERNELSIZE, MAXDIST)


   

   
 

  
 
   
 
 


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Quick shift is a mode seeking algorithm which links each pixel to
its nearest neighbor which has an increase in the estimate of the
density. These links form a tree, where the root of the tree is
the pixel which correspond to the highest mode in the image.


[MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) computes quick shift on the
image I. KERNELSIZE is the bandwidth of the Parzen window estimator of
the density. Since searching over all pixels for the nearest
neighbor which increases the density would be prohibitively
expensive, MAXDIST controls the maximum L2 distance between neighbors
that should be linked. MAP and GAP represent the resulting forest
of trees. They are array of the same size of I.  Each element
(pixel) of MAP is and index to the parent elemen in the forest and
GAP contains the corresponding branch length. Pixels which are at
the root of their respective tree have MAP(x) = x and GAPS(x) =
inf.


[MAP,GAPS,E] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) also returns the estimate
of the density E.


[MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE) uses a default MAXDIST of 3 * KERNELSIZE.


Notes


The distance between pixels is always measured in image
coordinates (not normalized), so the importance of the color
component should be weighted accordingly before calling this
function.


Options:


Verbose


Toggles verbose output.


Medoid


Run medoid shift instead of quick shift.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge
stability image from a Quickshift segmentation. RATIO controls the tradeoff
between color consistency and spatial consistency (See VL_QUICKSEG) and
KERNELSIZE controls the bandwidth of the density estimator (See VL_QUICKSEG,
VL_QUICKSHIFT). MAXDIST is the maximum distance between neighbors which
increase the density.


VL_QUICKVIS takes at most MAXCUTS thresholds less than MAXDIST, forming at
most MAXCUTS segmentations. The edges between regions in each of these
segmentations are labeled in IEDGE, where the label corresponds to the
largest DIST which preserves the edge.


[IEDGE,DISTS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) also
returns the DIST thresholds that were chosen.


IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, DISTS) will use the DISTS
specified


[IEDGE,DISTS,MAP,GAPS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS)
also returns the MAP and GAPS from VL_QUICKSHIFT.


See Also: VL_QUICKSHIFT(), VL_QUICKSEG(), VL_HELP().


   

   
 

  
 
   
 
 


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Y = VL_RCOS(R,X) computes the RCOS function with roll-off R.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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J=VL_RGB2XYZ(I) converts the CIE RGB image I to the image J in
CIE XYZ format. CIE RGB has a white point of R=G=B=1.0


VL_RGB2XYZ(I,WS) uses the specified RGB working space WS. The
function supports the following RGB working spaces:

  • 
`CIE'    E illuminant, gamma=2.2

  • 
`Adobe'  D65 illuminant, gamma=2.2


The default workspace is CIE.


See also: VL_XYZ2RGB(), VL_HELP().


   

   
 

  
 
   
 
 


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[TPR,TNR] = VL_ROC(LABELS, SCORES) computes the Receiver Operating
Characteristic (ROC) curve. LABELS are the ground truth labels,
greather than zero for a positive sample and smaller than zero for
a negative one. SCORES are the scores of the samples obtained from
a classifier, where lager scores should correspond to positive
labels.


Samples are ranked by decreasing scores, starting from rank 1.
TPR(K) and TNR(K) are the true positive and true negative rates
when samples of rank smaller or equal to K-1 are predicted to be
positive. So for example TPR(3) is the true positive rate when the
two samples with largest score are predicted to be
positive. Similarly, TPR(1) is the true positive rate when no
samples are predicted to be positive, i.e. the constant 0.


Set the zero the lables of samples that should be ignored in the
evaluation. Set to -INF the scores of samples which are not
retrieved. If there are samples with -INF score, then the ROC curve
may have maximum TPR and TNR smaller than 1.


[TPR,TNR,INFO] = VL_ROC(...) returns an additional structure INFO
with the following fields:


info.auc
Area under the ROC curve (AUC).

The ROC curve has a `staircase shape' because for each sample
only TP or TN changes, but not both at the same time. Therefore
there is no approximation involved in the computation of the
area.


info.eer
Equal error rate (EER).

The equal error rate is the value of FPR (or FNR) when the ROC
curves intersects the line connecting (0,0) to (1,1).


VL_ROC(...) with no output arguments plots the ROC curve in the
current axis.


VL_ROC() acccepts the following options:


Plot
[]

Setting this option turns on plotting unconditionally. The
following plot variants are supported:


tntp
Plot TPR against TNR (standard ROC plot).

tptn
Plot TNR against TPR (recall on the horizontal axis).

fptp
Plot TPR against FPR.

fpfn
Plot FNR against FPR (similar to DET curve).

NumPositives
[]

NumNegatives
[]

If set to a number, pretend that LABELS contains this may
positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
smaller than the actual number of positive/negative entrires in
LABELS. The additional positive/negative labels are appended to
the end of the sequence, as if they had -INF scores (not
retrieved). This is useful to evaluate large retrieval systems in
which one stores ony a handful of top results for efficiency
reasons.


About the ROC curve


Consider a classifier that predicts as positive all samples whose
score is not smaller than a threshold S. The ROC curve represents
the performance of such classifier as the threshold S is
changed. Formally, define

  P = overall num. of positive samples,
  N = overall num. of negative samples,


and for each threshold S

  TP(S) = num. of samples that are correctly classified as positive,
  TN(S) = num. of samples that are correctly classified as negative,
  FP(S) = num. of samples that are incorrectly classified as positive,
  FN(S) = num. of samples that are incorrectly classified as negative.


Consider also the rates:

  TPR = TP(S) / P,      FNR = FN(S) / P,
  TNR = TN(S) / N,      FPR = FP(S) / N,


and notice that by definition

  P = TP(S) + FN(S) ,    N = TN(S) + FP(S),
  1 = TPR(S) + FNR(S),   1 = TNR(S) + FPR(S).


The ROC curve is the parametric curve (TPR(S), TNR(S)) obtained
as the classifier threshold S is varied in the reals. The TPR is
also known as recall (see VL_PR()).


The ROC curve is contained in the square with vertices (0,0) The
(average) ROC curve of a random classifier is a line which
connects (1,0) and (0,1).


The ROC curve is independent of the prior probability of the
labels (i.e. of P/(P+N) and N/(P+N)).


REFERENCES:
[1] http://en.wikipedia.org/wiki/Receiver_operating_characteristic


See also: VL_PR(), VL_DET(), VL_HELP().


   

   
 

  
 
   
 
 


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R = VL_RODR(OM) where OM a 3-dimensional column vector computes the
Rodrigues' formula of OM, returning the rotation matrix R =
expm(vl_hat(OM)).


[R,DR] = VL_RODR(OM) computes also the derivative of the Rodrigues
formula. In matrix notation this is the expression

        d(vec expm(vl_hat(OM)) )
  dR = ----------------------.
               d om^T


[R,DR]=VL_RODR(OM) when OM is a 3xK matrix repeats the operation for
each column (or equivalently matrix with 3*K elements). In this
case R and DR are arrays with K slices, one per rotation.


See also: VL_IRODR(), VL_HELP().


   

   
 

  
 
   
 
 


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PATH = VL_ROOT() returns the path to the VLFeat installation.


See also: VL_SETUP(), VL_HELP().


   

   
 

  
 
   
 
 


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HISTS = VL_SAMPLINTHIST(INTHIST, BOXES) samples the integral
histogram INTHIST to obtain the histograms of the specified
BOXES.


INTHIST is a MxNxK array, where M x N are ``spatial'' dimensions,
and K is the number of histogram bins. INTHIST may be of class
UINT32 or DOUBLE.


Each box is a four dimensional vector [IMIN JMIN IMAX JMAX]' of
class UINT32 and correspond to the index set [IMIN, IMAX] x [JMIN,
JMAX]. To specify an empty box, let IMIN > IMAX.


HISTS stores one histogram per column (one for each box) and has K
rows, one for each histogram bin. HIST is of the same class of
INTHIST.


See also: VL_INTHIST(), VL_IMINTEGRAL(), VL_HELP().


   

   
 

  
 
   
 
 


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PATH = VL_SETUP() adds the VLFeat Toolbox to MATLAB path and
returns the path PATH to the VLFeat package.


VL_SETUP('NOPREFIX') adds aliases to each function that do not
contain the VL_ prefix. For example, with this option it is
possible to use SIFT() instead of VL_SIFT().


VL_SETUP('TEST') or VL_SETUP('XTEST') adds VLFeat unit test
function suite. See also VL_TEST().


VL_SETUP('QUIET') does not print the greeting message.


See also: VL_ROOT(), VL_HELP().


   

   
 

  
 
   
 
 


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F = VL_SIFT(I) computes the SIFT frames [1] (keypoints) F of the
image I. I is a gray-scale image in single precision. Each column
of F is a feature frame and has the format [X;Y;S;TH], where X,Y
is the (fractional) center of the frame, S is the scale and TH is
the orientation (in radians).


[F,D] = VL_SIFT(I) computes the SIFT descriptors [1] as well. Each
column of D is the descriptor of the corresponding frame in F. A
descriptor is a 128-dimensional vector of class UINT8.


VL_SIFT() accepts the following options:


Octaves
[maximum possible]

Set the number of octave of the DoG scale space.


Levels
[3]

Set the number of levels per octave of the DoG scale space.


FirstOctave
[0]

Set the index of the first octave of the DoG scale space.


PeakThresh
[0]

Set the peak selection threshold.


EdgeThresh
[10]

Set the non-edge selection threshold.


NormThresh
[-inf]

Set the minimum l2-norm of the descriptors before
normalization. Descriptors below the threshold are set to zero.


Magnif
[3]

Set the descriptor magnification factor. The scale of the
keypoint is multiplied by this factor to obtain the width (in
pixels) of the spatial bins. For instance, if there are there
are 4 spatial bins along each spatial direction, the
``side'' of the descriptor is approximatively 4 * MAGNIF.


WindowSize
[2]

Set the variance of the Gaussian window that determines the
descriptor support. It is expressend in units of spatial
bins.


Frames
[not specified]

If specified, set the frames to use (bypass the detector). If
frames are not passed in order of increasing scale, they are
re-orderded.


Orientations


If specified, compute the orietantions of the frames overriding
the orientation specified by the 'Frames' option.


Verbose


If specfified, be verbose (may be repeated to increase the
verbosity level).


REFERENCES


[1] D. G. Lowe, Distinctive image features from scale-invariant
keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.


See also: VL_UBCMATCH(), VL_DSIFT(), VL_HELP().


   

   
 

  
 
   
 
 


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D = VL_SIFTDESCRIPTOR(GRAD, F) calculates the SIFT descriptors of
the keypoints F on the pre-processed image GRAD. GRAD is a 2xMxN
array. The first layer GRAD(1,:,:) contains the modulus of
gradient of the original image modulus. The second layer
GRAD(2,:,:) contains the gradient angle (measured in radians,
clockwise, starting from the X axis -- this assumes that the Y
axis points down). The matrix F contains one column per keypoint
with the X, Y, SGIMA and ANLGE parameters.


In order to match the standard SIFT descriptor, the gradient GRAD
should be calculated after mapping the image to the keypoint
scale. This is obtained by smoothing the image by a a Gaussian
kernel of variance equal to the scale of the keypoint.
Additionaly, SIFT assumes that the input image is pre-smoothed at
scale 0.5 (this roughly compensates for the effect of the CCD
integrators), so the amount of smoothing that needs to be applied
is slightly less. The following code computes a standard SIFT
descriptor by using VL_SIFTDESCRIPTOR():

  I_       = vl_imsmooth(im2double(I), sqrt(f(3)^2 - 0.5^2)) ;
  [Ix, Iy] = vl_grad(I_) ;
  mod      = sqrt(Ix.^2 + Iy.^2) ;
  ang      = atan2(Iy,Ix) ;
  grd      = shiftdim(cat(3,mod,ang),2) ;
  grd      = single(grd) ;
  d        = vl_siftdescriptor(grd, f) ;


Remark


The above fragment generates results which are very close
but not identical to the output of VL_SIFT() as the latter
samples the scale space at finite steps.


Remark


For object categorization is sometimes useful to compute
SIFT descriptors without smoothing the image.


Options:


Magnif
[3]

Magnification factor (see VL_SIFT()).


NormThresh
[-inf]

Set the minimum l2-norm of the descriptors before
normalization. Descriptors below the threshold are set to zero.


   

   
 

  
 
   
 
 


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Y = VL_SIGMOID(X) returns

 Y = 1 ./ (1 + EXP(X)) ;


Remark


Useful properties of the sigmoid function are:


See also: VL_DSIGMOID(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_SIMDCTRL() returns TRUE if VLFeat SIMD optimizations are enabled
and FALSE otherwise.


VL_SIMDCTRL(TRUE) enables VLFeat SIMD optimizations. VL_SIMDCTRL(FALSE)
disables them.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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SEGMENTS = VL_SLIC(IM, REGIONSIZE, REGULARIZER) extracts the SLIC
superpixes [1] from image IM. REGIONSIZE is the starting size of
the superpixels and REGULARIZER is the trades-off appearance for
spatial regularity when clustering (a larger value results in more
spatial regularization). SEGMENTS is a UINT32 array containing the
superpixel identifier for each image pixel.


The image IM is a SINGLE array with two or three dimensions. The
third dimension is arbitrary, but it is usually three for RGB or
LAB images.


VL_SLIC() accepts the following options:


Verbose


Be verbose.


MinRegionSize
(1/6 of REGIONSIZE)^2

The minimum size (in pixel area) of the extracted
superpixels.


Example


If IM contains an RGB images, the SLIC superpixels can be
extracted as:


REFERENCES


[1] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and
S. Susstrunk. SLIC superpixels. Technical report, EPFL, 2010.


See also
http://www.vlfeat.org/doc/api/slic.html, VL_HELP().

   

   
 

  
 
   
 
 


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W = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W given training
struct DATA, and the regularization parameter LAMBDA using the
PEGASOS [1] solver. The algorithm finds a minimizer W of the
objective function

  LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))


where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
the number of training vectors in X.


The training struct DATA is created using the function
VL_MAKETRAININGSET.


[W B INFO] = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W
and a bias B given training struct DATA, and the regularization
parameter LAMBDA using the PEGASOS [1] solver. INFO is a struct
containing the input parameters plus diagnostic informations:


energy


SVM energy value.


iterations


Number of iterations performed.


elapseTime


Elapsed time since the start of the SVM learning.


regulizerTerm


Value of the SVM regulizer term.


lossPos


Value of loss function only for data points labeled positives.


lossNeg


Value of loss function onlt for data points labeled negatives.


hardLossPos


Number of mislabeled positive points.


hardLossNeg


Number of mislabeled negative points.


ALGORITHM. PEGASOS is an implementation of stochastic subgradient
descent. At each iteration a data point is selected at random, the
subgradient of the cost function relative to that data point is
computed, and a step is taken in that direction. The step size is
inversely proportional to the iteration number. See [1] for
details.


VL_SVMPEGASOS() accepts the following options:


Epsilon
[empty]

Specify the SVM stopping criterion threshold. If not
specified VL_SVMPEGASOS will finish when the maximum number
of iterations is reached. The stopping criterion is tested
after each ENERGYFREQ iteration.


MaxIterations
[10 / LAMBDA]

Sets the maximum number of iterations.


BiasMultiplier
[0]

Appends to the data X the specified scalar value B. This
approximates the training of a linear SVM with bias.


StartingModel
[null vector]

Specify the initial value for the weight vector W.


StartingIteration
[1]

Specify the iteration number to start from. The only effect
is to change the step size, as this is inversely proportional
to the iteration number.


StartingBias
[0]

Specify the inital bias value.


BiasLearningRate
[1]

Specify the frequency of the bias learning. The default
setting updates the bias at each iteration.


Permutation
[empty]

Specify a permutation PERM to be used to sample the data (this
disables random sampling). Specifically, at the T-th iteration
the algorithm takes a step w.r.t. the PERM[T']-th data point,
where T' is T modulo the number of data samples
(i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
bijective. This allows specifying certain data points more or
less frequently, implicitly increasing their relative weight in
the error term. A common application is to balance an unbalanced
dataset.


DiagnosticFunction
[empty]

Specify a function handle to be called every ENERGYFREQ
iterations.
The function must be of the form:

  function o = diagnostics(svm,x)


Where in the first iteration x is the variable passed as
"DiagnosticCallRef", and the consecutive ones x is the
variable o returned in the previous iteration.


DiagnosticCallRef
[empty]

Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.


EnergyFreq
[100]

Specify how often the SVM energy is computed.


ValidationData


Specify a validation dataset. The validation dataset must be
created using VL_MAKETRAININGSET. If specified, the energy
value and all the diagnostic informations are computed on the
validation dataset, otherwise the training dataset is used.


Verbose


Be verbose.


Example


The options StartingModel and StartingIteration can be used
to continue training. I.e., the command

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(x,y) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;


produces the same result as the sequence

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(x,y) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',500) ;
  w = vl_svmpegasos(dataset,lambda,'NumIterations',500, ...
                 'StartingIteration', 501, ...
                 'StartingModel', w) ;


REFERENCES


[1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
SVM. MBP, 2010.


See also: VL_MAKETRAININGSET(), VL_HOMKERMAP(), VL_HELP().


   

   
 

  
 
   
 
 


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H = VL_TIGHTSUBPLOT(K,P) returns an handle to the P-th axis in a
regular grid of K axes. The K axes are numbered from left to right
and from top to bottom.  The function operates similarly to
SUBPLOT(), but by default it does not put any margin between
axes. This is done by tiling the axes inner box rather than the
axes outer box.


H = VL_TIGHTSUBPLOT(M,N,P) retursn an handle to the P-th axes in a
regular subdivision with M rows and N columns.


VL_TIGHTSUBPLOT() accepts the following options:


Margin
[0]

MarginLeft
[0]

MarginRight
[0]

MarginTop
[0]

MarginBottom
[0]

Set the axes inner box margin, either uniformly in all
directions, or specifically to the left, right, top or bottom.


Box
[0]

If set to 'outer', tile the axes outer box, thus protecting
title and labels. Unfortunately this usually produces
unnecesarily large margins.


Spacing
[0] (legacy option)

Set extra spacing between axes.  The space is added between the
inner or outer boxes, depending on the setting below.


REMARK. While SUBPLOT kills any pre-existing axes that overalps a
new one, this function does not.


See also: SUBPLOT(), VL_HELP().


   

   
 

  
 
   
 
 


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This is an helper function used by VL_PR(), VL_ROC(), VL_DET().


See also: VL_PR(), VL_ROC(), VL_DET(), VL_HELP().


   

   
 

  
 
   
 
 


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PHI=VL_TPS(X1,X2,Y) returns the basis PHI of a thin-plate spline
(TPS) defined on the domain X1,X2 with control points Y.


X1 and X2 are MxN matrices specifying the grid vertices.  When
warping images, these usually correspond to image pixels.


Y is a 2xK matrix specifying the control points, one per
column. Ofthen Y is a subset of the domain X1,X2, but this is not
required.


PHI is a (K+3)xNxM matrix, with one layer per basis element. Each
basis element is a function of the domain X1,X2.


[PHI,S] = VL_TPS(X1,X2,Y) additionally returns the stiffness matrix S
of the TPS.


See also: VL_WTPS(), VL_HELP().


   

   
 

  
 
   
 
 


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U=VL_TPSU(X,Y) returns the matrix


[ U(|X(:,1) - Y(:,1)|) ... U(|X(:,1) - Y(:,N)|) ]
[                                               ]
[ U(|X(:,M) - Y(:,1)|) ... U(|X(:,M) - Y(:,N)|) ]


where X is a 2xM matrix and Y a 2xN matrix of points and U(r) is
the opposite -r^2 log(r^2) of the radial basis function of the
thin plate spline specified by X and Y.


[U,dU]=vl_tpsu(x,y) returns the derivatives of the columns of U with
respect to the parameters Y. The derivatives are arranged in a
Mx2xN array, one layer per column of U.


See also: VL_TPS(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_TWISTER() is essentially equivalent to MATLAB native RAND()
when using the Twister random number generator. VL_TWISTER(),
VL_TWISTER(M,N,P,...)  and VL_TWISTER([M N P ...]) are equivalent
to RAND(), RAND(M,N,P,...)  and RAND([M N P ...]) respectively.


The state of the random generator can be seeded by
VL_TWISTER('STATE', X), where X is a DOUBLE scalar (this is
equivalent to RAND('TWISTER', X)). The state can be read by
VL_TWISTER('STATE') (equivalent to RAND('TWISTER')) and set by
VL_TWISTER('STATE', STATE) (equivalent to RAND('TWISTER',
STATE)). Here STATE is a vector of 625 elements of class
UINT32. Finally VL_TWISTER('STATE',KEY) seeds the generator by a
vector of DOUBLE of length not greater than 624.


VL_TWISTER() is slightly faster than RAND(). Moreover it can be
used to control the state of the random number generator used by
all VLFEAT functions.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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MATCHES = VL_UBCMATCH(DESCR1, DESCR2) matches the two sets of SIFT
descriptors DESCR1 and DESCR2.


[MATCHES,SCORES] = VL_UBCMATCH(DESCR1, DESCR2) retuns the matches and
also the squared Euclidean distance between the matches.


The function uses the algorithm suggested by D. Lowe [1] to reject
matches that are too ambiguous.


VL_UBCMATCH(DESCR1, DESCR2, THRESH) uses the specified threshold
THRESH. A descriptor D1 is matched to a descriptor D2 only if the
distance d(D1,D2) multiplied by THRESH is not greater than the
distance of D1 to all other descriptors. The default value of
THRESH is 1.5.


The storage class of the descriptors can be either DOUBLE, FLOAT,
INT8 or UINT8. Usually integer classes are faster.


REFERENCES


[1] D. G. Lowe, Distinctive image features from scale-invariant
keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.


See also: VL_HELP(), VL_SIFT().


   

   
 

  
 
   
 
 


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[F,D] = VL_UBCREAD(FILE) reads the frames F and the descriptors D
from FILE in UBC (Lowe's original implementation of SIFT) format
and returns F and D as defined by VL_SIFT().


VL_UBCREAD(FILE, 'FORMAT', 'OXFORD') assumes the format used by
Oxford VGG implementations .


See also: VL_SIFT(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_VERSION() prints VLFeat version number. VL_VERSION('VERBOSE')
prints additional information.


STR = VL_VERSION(...) returns the ouptut in a string rather than
printing it.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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Y = VL_WAFFINE(A,T,X) applies the affine transformatio (A,T) to points
X. X contains one point per column.


[Y1,Y2,...] = VL_WAFFINE(A,T,X1,X2,...) applies the affine
transformation (A,T) to the points (X1,X2,...). Each array
X1,X2,... contains one of the coordinates of the points.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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H = VL_WHISTC(X,W,EDGES) behaves exactly like HISTC(X,EDGES), but
weights the samples X by W. Samples that have NaN weight are
skipped.


See also: HITSC(), VL_HELP().


   

   
 

  
 
   
 
 


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[X1,X2]=VL_WITPS(XP1,XP2,Y,Yp) computes the inverse thin-plate spline
(TPS) warp of the points XP1,XP2.


Remark


The inverse of a thin-plate spline in general is NOT a
thin-plate spline and some splines do not have an inverse.  This
function uses Gauss-Newton to compute a set of points (X1,X2)
such that [XP1,XP2]=VL_WTPS(X1,X2,Y,Yp).


See also: VL_WTPS(), VL_HELP().


   

   
 

  
 
   
 
 


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[XP1,XP2]=VL_WTPS(PHI,YP) computes the thin-plate spline (TPS)
specified by the basis PHI and the warped control point Yp.


Yp is a 2xK matrix with one column per control point and the basis
PHI is calculated by means of the VL_TPS function.


The thin-palte spline is defined on a domain X1,X2 and specified
by a set of points Y and their warp YP. The spline passes
interpolates exaclty the control points.


The parameters X1,X2 and Y are used to compute the basis PHI. This
operation is fairily slow, but computing the spline for a given Yp
is then very quick, as the operation is just a linear combination
of the basis.


Example


To calculate the warped grid [X1,X2] by moving the control points Y to
the control points YP use:

  [xp1,xp2]=VL_WTPS(VL_TPS(x1,x2,Y),Yp).


See also: VL_TPS(), VL_HELP().


   

   
 

  
 
   
 
 


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VL_XMKDIR(PATH) creates all directory specified by PATH if they
do not exist (existing directories are skipped).


The function is meant as a silent replacement of MATLAB's builtin
MKDIR() function. It can also be used to show more clearly what
directories are or would be created by the command.


The function accepts the following options:


Pretend
false

If TRUE the function does not create any directoty (implies
'Verbose').


Verbose
false

If TRUE the function prints the operations performed.


See also: VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_XYZ2LAB(I) converts the image from XYZ format to LAB format.


VL_XYZ2LAB(I,IL) uses one of the illuminants A, B, C, E, D50, D55,
D65, D75, D93. The default illuminatn is E.


See also: VL_XYZ2LUV(), VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_XYZ2LUV(I) converts the image I in XYZ format to the image J
in Luv format.


J = VL_XYZ2LUV(I,IL) uses the specified illuminant. The following
illuminant are supported: A, B, C, E, D50, D55, D65, D75, D93.  IL
is the name of the illuminant.


See also: VL_XYZ2LAB(), VL_HELP().


   

   
 

  
 
   
 
 


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J = VL_XYZ2RGB(I) the XYZ image I in RGB format.


VL_XYZ2RGB(I,WS) uses the RGB workspace WS. WS is a string in

  • 
CIE:    E illuminant and 2.2 gamma

  • 
Adobe:  D65 illuminant and 2.2 gamma


The default workspace is CIE.


See also: VL_RGB2XYZ(), VL_HELP().


   

   
 

  
 
   
 
 


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The Agglomerative Information Bottleneck (AIB) algorithm
greedily compresses discrete data by iteratively merging the two
elements which cause the mutual information between the data and the
class labels to decreases as little as possible.



Here we test AIB on the problem of finding a discriminatively
optimal quantization of a mixture of Gaussians. The data in this case
is 2 dimensional:








Random data generated from a Gaussian mixture with three components
(class labels are indicated by color).







We quantize this data on a fixed lattice (a 20x20 grid shown in the
figures below), and construct histograms for each class.



f1 = quantize(X1,D,K) ;
f2 = quantize(X2,D,K) ;
f3 = quantize(X3,D,K) ;

Pcx(1,:) = vl_binsum(Pcx(1,:), ones(size(f1)), f1) ;
Pcx(2,:) = vl_binsum(Pcx(2,:), ones(size(f2)), f2) ;
Pcx(3,:) = vl_binsum(Pcx(3,:), ones(size(f3)), f3) ;





Next we apply AIB:



[parents, cost] = vl_aib(Pcx) ;





This provides us with a list of parents of each column
in Pcx, forming a tree of merges. We can now "cut" this
tree to obtain any number of clusters.










Three "cuts" of the merge tree, showing 10, 3, and 2 clusters. The
gray squares are nodes of the tree which did not have any data points
which were quantized to them.







Notice that the resulting clusters do not have to be contiguous in
the original space.



   

   
 

  
 
   
 
 


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This tutorial gives an overview of the vl_covdet
VLFeat command implementing a number of co-variant feature detectors
and corresponding descriptors. For example applications, see also
the SIFT tutorial.






Extracting frames and descriptors




The first example shows how to use vl_covdet to
compute and visualise co-variant features. Fist, let us load an
example image and visualize it:



im = vl_impattern('roofs1') ;
figure(1) ; clf ;
image(im) ; axis image off ;






 
 

  
   An example input image.
  
 





The image must be converted to gray=scale and single precision. Then
vl_covdet can be called in order to extract features (by
default this uses the DoG cornerness measure, similarly to SIFT).



imgs = im2single(rgb2gray(im)) ;
frames = vl_covdet(imgs, 'verbose') ;





The verbose option is not necessary, but it produces
some useful information:



vl_covdet: doubling image: yes
vl_covdet: detector: DoG
vl_covdet: peak threshold: 0.01, edge threshold: 10
vl_covdet: detected 3518 features
vl_covdet: kept 3413 inside the boundary margin (2)




The vl_plotframe command can then be used to plot
these features



hold on ;
vl_plotframe(frames) ;





which results in the image




 
 

  
   The default features detected by vl_covdet use the DoG
   cornerness measure (like SIFT).
  
 





In addition to the DoG detector, vl_covdet supports a
number of other ones:



    

  • The Difference of Gaussian operator (also known
as trace of the Hessian operator or Laplacian
operator) uses the local extrema trace of the multiscale Laplacian
operator to detect features in scale and space (as in SIFT).
    • 


  • The Hessian operator uses the local extrema of the
mutli-scale determinant of Hessian operator.
    • 


  • The Hessian Laplace detector uses the extrema of the
multiscale determinant of Hessian operator for localisation in space,
and the extrema of the multiscale Laplacian operator for localisation
in scale.
    • 


  • Harris Laplace uses the multiscale Harris cornerness
measure instead of the determinant of the Hessian for localization in
space, and is otherwise identical to the previous detector..
    • 


  • Hessian Multiscale detects features spatially at multiple
scales by using the multiscale determinant of Hessian operator, but
does not attempt to estimate their scale.
    • 


  • Harris Multiscale is like the previous one, but uses the
multiscale Harris measure instead.
    • 




For example, to use the Hessian-Laplace operator instead of DoG,
use the code:



frames = vl_covdet(imgs, 'method', 'HarrisLaplace') ;





The following figure shows example of the output of these
detectors:




 
 

  
    Different detectors can produce a fairly different set of
    features.
  
 






Understanding feature frames




To understand the rest of the tutorial, it is important to
understand the geometric meaning of a feature frame. Features
computed by vl_covdet are oriented ellipses and
are defined by a translation $T$ and linear map $A$ (a $2\times 2$)
which can be extracted as follows:



 T = frame(1:2) ;
 A = reshape(frame(3:6),2,2)) ;




The map $(A,T)$ moves pixels from the feature frame (also called
normalised patch domain) to the image frame. The feature is
represented as a circle of unit radius centered at the origin in the
feature reference frame, and this is transformed into an image ellipse
by $(A,T)$.



In term of extent, the normalised patch domain is a square box
centered at the origin, whereas the image domain uses the standard
MATLAB convention and starts at (1,1). The Y axis points downward and
the X axis to the right. These notions are important in the
computation of normalised patches and descriptors
(see later).




Affine adaptation




Affine adaptation is the process of estimating the
affine shape of an image region in order to construct an
affinely co-variant feature frame. This is useful in order to
compensate for deformations of the image like slant, arising for
example for small perspective distortion.



To switch on affine adaptation, use
the EstimateAffineShape option:



frames = vl_covdet(imgs, 'EstimateAffineShape', true) ;





which detects the following features:




 
 

  
   Affinely adapted features.
  
 






Feature orientation




The detection methods discussed so far are rotationally
invariant. This means that they detect the same circular or elliptical
regions regardless of an image rotation, but they do not allow to fix
and normalise rotation in the feature frame. Instead, features are
estimated to be upright by default (formally, this means that the
affine transformation $(A,T)$ maps the vertical axis $(0,1)$ to
itself).



Estimating and removing the effect of rotation from a feature frame
is needed in order to compute rotationally invariant descriptors. This
can be obtained by specifying the EstimateOrientation
option:



frames = vl_covdet(imgs, 'EstimateOrientation', true, 'verbose') ;





which results in the following features being detected:




 
 

  
    Features with orientation detection.
  
 





The method used is the same as the one proposed by D. Lowe: the
orientation is given by the dominant gradient direction. Intuitively,
this means that, in the normalized frame, brighter stuff should appear
on the right, or that there should be a left-to-right dark-to-bright
pattern.



In practice, this method may result in an ambiguous detection of
the orientations; in this case, up to four different orientations may
be assigned to the same frame, resulting in a multiplication of
them.




Computing descriptors




vl_covdet can also compute descriptors. Two are
supported so far: SIFT and raw patches (from which any other
descriptor can be computed). To use this functionality simply add an
output argument:



[frames, descrs] = vl_covdet(imgs) ;





This will compute SIFT descriptors for all the features. Each
column of descrs is a 128-dimensional descriptor vector
in single precision. Alternatively, to compute patches use:



[frames, descrs] = vl_covdet(imgs, 'descriptor', 'patch') ;





In this case each column of descrs is a stacked patch.
To visualize the first 100 patches, one can use for example:



w = sqrt(size(patches,1)) ;
vl_imarraysc(reshape(patches(:,1:10*10), w,w,[])) ;






 
 
 

  
    Patches extracted with the standard detectors (left) and adding
    affine adaptation (right).
  
 





There are several parameters affecting the patches associated to
features. First, PatchRelativeExtent can be used to
control how large a patch is relative to the feature scale. The extent
is half of the side of the patch domain, a square in
the frame reference
frame. Since most detectors latch on image structures (e.g. blobs)
that, in the normalised frame reference, have a size comparable to a
circle of radius one, setting PatchRelativeExtent to 6
makes the patch about six times largerer than the size of the corner
structure. This is approximately the default extent of SIFT feature
descriptors.



A second important parameter is PatchRelativeSigma
which expresses the amount of smoothing applied to the image in the
normalised patch frame. By default this is set to 1.0, but can be
reduced to get sharper patches. Of course, the amount of
smoothing is bounded below by the resolution of the input image: a
smoothing of, say, less than half a pixel cannot be recovered due to
the limited sampling rate of the latter. Moreover, the patch must be
sampled finely enough to avoid aliasing (see next).



The last parameter is PatchResolution. If this is
equal to $w$, then the patch has a side of $2w+1$ pixels.  (hence the
sampling step in the normalised frame is given by
PatchRelativeExtent/PatchResolution).
Extracting higher resolution patches may be needed for larger extent
and smaller smoothing. A good setting for this parameter may be
PatchRelativeExtent/PatchRelativeSigma.




Custom frames




Finally, it is possible to use vl_covdet to compute
descriptors on custom feature frames, or to apply affine adaptation
and/or orientation estimation to these.



For example



delta = 30 ;
xr = delta:delta:size(im,2)-delta+1 ;
yr = delta:delta:size(im,1)-delta+1 ;
[x,y] = meshgrid(xr,yr) ;
frames = [x(:)'; y(:)'] ;
frames(end+1,:) = delta/2 ;

[frames, patches] = vl_covdet(imgs, ...
                              'frames', frames, ...
                              'estimateAffineShape', true, ...
                              'estimateOrientation', true) ;





computes affinely adapted and oriented features on a grid:




 
 

   
     Custom frame (on a grid) after affine adaptation.
   
 






Getting the scale spaces




vl_covdet can return additional information about the
features, including the scale spaces and scores for each detected
feature. To do so use the syntax:



[frames, descrs, info] = vl_covdet(imgs) ;





This will return a structure info



info =

                    gss: [1x1 struct]
                    css: [1x1 struct]
             peakScores: [1x351 single]
             edgeScores: [1x351 single]
       orientationScore: [1x351 single]
    laplacianScaleScore: [1x351 single]





\[ test \]




The last four fields are the peak, edge, orientation, and Laplacian
scale scores of the detected features. The first two were discussed
before, and the last two are the scores associated to a specific
orientation during orientation assignment and to a specific scale
during Laplacian scale estimation.



The first two fields are the Gaussian scale space and the
cornerness measure scale space, which can be plotted by means
of vl_plotss. The following is the of the Gaussian scale
space for our example image:




 
 

   
     Gaussian scale space.
   
 





The following is an example of the corresponding cornerness
measure:




 
 

   
     Cornerness scale space (Difference of Gaussians).
   
 






   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/dsift.html000066400000000000000000000227051203326130700175050ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - DSIFT/PHOW
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - DSIFT/PHOW
  

  

    
   

     


VLFeat implements a fast dense version of SIFT, called
vl_dsift. The function is roughly equivalent to running
SIFT on a dense gird of locations at a fixed scale and
orientation. This type of feature descriptors is often uses for object
categorization.




Dense SIFT as a faster SIFT




The main advantage of using vl_dsift
over vl_sift is speed. To see this, load a test image


I = vl_impattern('roofs1') ;
I = single(vl_imdown(rgb2gray(I))) ;





To check the equivalence of vl_disft
and vl_sift it is necessary to understand in detail how
the parameters of the two descriptors are related.



    


  • Bin size vs keypoint scale. DSIFT specifies the
descriptor size by a single parameter, size, which controls
the size of a SIFT spatial bin in pixels. In the standard SIFT
descriptor, the bin size is related to the SIFT keypoint scale by a
multiplier, denoted magnif below, which defaults
to 3. As a consequence, a DSIFT descriptor with bin size
equal to 5 corresponds to a SIFT keypoint of scale 5/3=1.66.
    • 


  • Smoothing. The SIFT descriptor smoothes the image
according to the scale of the keypoints (Gaussian scale space). By
default, the smoothing is equivalent to a convolution by a Gaussian of
variance s^2 - .25, where s is the scale of
the keypoint and .25 is a nominal adjustment that
accounts for the smoothing induced by the camera CCD.
    • 





Thus the following code produces equivalent descriptors using
  either DSIFT or SIFT:



binSize = 8 ;
magnif = 3 ;
Is = vl_imsmooth(I, sqrt((binSize/magnif)^2 - .25)) ;

[f, d] = vl_dsift(Is, 'size', binSize) ;
f(3,:) = binSize/magnif ;
f(4,:) = 0 ;
[f_, d_] = vl_sift(I, 'frames', f) ;





The difference, of course, is that DSIFT is much faster.




 
 
 

  
    Left: accuracy of the slow and fast dense SIFT implementations in
    vl_dsift compared to the SIFT baseline from 
    vl_sift. Right: speedup. The fast version is less similar
    to the original SIFT descriptors but from 30 to 70 times faster
    than SIFT. Notice that the equivalence of the descriptors does not
    necessarily indicate that one would work better than the other in
    applications.
  
 






PHOW descriptors




The PHOW features [1] are a variant of dense
SIFT descriptors, extracted at multiple scales. A color version, named
PHOW-color, extracts descriptors on the three HSV image channels and
stacks them up. A combination of vl_dsift
and vl_imsmooth can be used to easily and efficiently
compute such features.



VLFeat includes a simple wrapper, vl_phow, that does
exactly this:



im = vl_impattern('roofs1') ;
[frames, descrs]=vl_phow(im2single(im)) ;





Note that this typically generate a very large number of features.
In this example, there are 162,574 features.




References




    
  
  • [1] A. Bosch, A. Zisserman, and X. Munoz. Image
  classifcation using random forests and ferns. In Proc. ICCV,
  2007.

    • 




   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/hikm.html000066400000000000000000000262411203326130700173230ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - HIKM
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - HIKM
  

  

    
   

     


VLFeat offers a hierarchical version of integer k-means, which
recursively applies vl_ikmeans to compute finer and finer
partitions. For more details see 
Hierarchical Integer
  k-means API reference and the Integer
  k-means tutorial.

 





Usage




First, we generate some random data to cluster in [0,255]^2:



data     = uint8(rand(2,10000) * 255) ;
datat    = uint8(rand(2,100000)* 255) ;





To cluster this data, we simply use vl_hikmeans:



K        = 3 ;
nleaves  = 100 ;
[tree,A] = vl_hikmeans(data,K,nleaves) ;





Here nleaves is the desired number of leaf
clusters. The algorithm terminates when there are at least
nleaves nodes, creating a tree with depth =
  floor(log(K nleaves))



To assign labels to the new data, we use vl_hikmeanspush:



AT       = vl_hikmeanspush(tree,datat) ;











Hierarchical integer K-means.  Left: A depiction of the
recursive clusters. Each node is a cluster center. The root note is
not depicted (its center would be the mean of the dataset).  Right:
Clusters are represented as different colors (here are more than 100
clusters, but only three colors are used).








Tree structure




The output tree is a MATLAB structure representing the tree of
clusters:



> tree
tree =
 
          K: 3
      depth: 5
    centers: [2x3 int32]
        sub: [1x3 struct]





The field centers is the matrix of the cluster centers at the
root node.  If the depth of the tree is larger than 1, then the field
sub is a structure array with one entry for each cluster. Each
element is in turn a tree:



> tree.sub
ans = 

1x3 struct array with fields:
    centers
    sub





with a field centers for its clusters and a field
sub for its children. When there are no children, this
field is equal to the empty matrix



> tree.sub(1).sub(1).sub(1).sub(1)

ans = 

    centers: [2x3 int32]
        sub: []






Elkan




VLFeat supports two different implementations of k-means. While they
produce identical output, the Elkan method is sometimes faster.
The method parameters controls which method is used. Consider the case when K=10 and our data is now 128 dimensional (e.g. SIFT descriptors):



K=10;
nleaves = 1000;
data = uint8(rand(128,10000) * 255);
tic;
[tree,A] = vl_hikmeans(data,K,nleaves,'method', 'lloyd') ; % default
t_lloyd = toc
tic;
[tree,A] = vl_hikmeans(data,K,nleaves,'method', 'elkan') ;
t_elkan = toc

t_lloyd =

    8.0743

t_elkan =

    3.0427





   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/hog.html000066400000000000000000000315361203326130700171530ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - HOG
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - HOG
  

  

    
   

     


The HOG features are widely use for object detection. HOG
decomposes an image into small squared cells, computes an histogram of
oriented gradients in each cell, normalizes the result using a
block-wise pattern, and return a descriptor for each cell.



Stacking the cells into a squared image region can be used as an
image window descriptor for object detection, for example by means of
an SVM.



This tutorial shows how to use the VLFeat
function vl_hog to compute HOG features of various kind
and manipulate them.






Basic HOG computation




We start by considering an example input image:




  
  
An example image.





HOG is computed by calling the vl_hog function:



cellSize = 8 ;
hog = vl_hog(im, cellSize, 'verbose') ;





The same function can also be used to generate a pictorial
rendition of the features, although this unavoidably destroys some of
the information contained in the feature itself. To this end, use the
render command:



imhog = vl_hog('render', hog, 'verbose') ;
clf ; imagesc(imhog) ; colormap gray ;





This should produce the following image:




  
  
Standard HOG features with a cell size of eight pixels.





HOG is an array of cells, with the third dimension spanning feature
components:



> size(hog)

ans =

    16    16    31





In this case the feature has 31 dimensions. HOG exists in many
variants. VLFeat supports two: the UoCTTI variant (used by default)
and the original Dalal-Triggs variant (with 2×2 square HOG
blocks for normalization). The main difference is that the UoCTTI
variant computes bot directed and undirected gradients as well as a
four dimensional texture-energy feature, but projects the result down
to 31 dimensions. Dalal-Triggs works instead with undirected gradients
only and does not do any compression, for a total of 36
dimension. The Dalal-Triggs variant can be computed as



% Dalal-Triggs variant
cellSize = 8 ;
hog = vl_hog(im, cellSize, 'verbose', 'variant', 'dalaltriggs') ;
imhog = vl_hog('render', hog, 'verbose', 'variant', 'dalaltriggs') ;





The result is visually very similar:




  
  
Dalal-Triggs variant. Differences with the
  standard version are difficult to appreciated in the
  rendition.






Flipping HOG from left to right




Often it is necessary to flip HOG features from left to right (for
example in order to model an axis symmetric object). This can be obtained
analytically from the feature itself by permuting the histogram dimensions
appropriately. The permutation is obtained as follows:



% Get permutation to flip a HOG cell from left to right
perm = vl_hog('permutation') ;





Then these two examples produce identical results (provided that
the image contains an exact number of cells:



imHog = vl_hog('render', hog) ;
imHogFromFlippedImage = vl_hog('render', hogFromFlippedImage) ;
imFlippedHog = vl_hog('render', flippedHog) ;





This is shown in the figure:




  
  
Flipping HOG features from left to right either
  by flipping the input image or the features directly.






Other HOG parameters




vl_hog supports other parameters as well. For example,
one can specify the number of orientations in the histograms by the
numOrientations option:



% Specify the number of orientations
hog = vl_hog(im, cellSize, 'verbose', 'numOrientations', o) ;
imhog = vl_hog('render', hog, 'verbose', 'numOrientations', o) ;





Changing the number of orientations changes the features quite
significantly:




  
  
HOG features for numOrientations
equal to 3, 4, 5, 9, and 21 repsectively.





Another useful option is BilinearOrientations switching
on the bilinear orientation assignment of the gradient (this is not used
in certain implementation like UoCTTI).



% Specify the number of orientations
hog = vl_hog(im,cellSize,'numOrientations', 4) ;
imhog = vl_hog('render', hog, 'numOrientations', 4) ;





resulting in




  
  
From left to right: input image, hard
  orientation assigments for numOrientations equals to
  four, and soft orientation assigments.





   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/ikm.html000066400000000000000000000260661203326130700171600ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - IKM
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - IKM
  

  

    
   

      


VLFeat includes a basic implementation of k-means clustering
and hierarchical k-means clustering. They are designed to be
lightweight in order to work on large datasets. In particular, they
assume that the data are vectors of unsigned chars (one byte). While
this is limiting for some application, it works well for clustering
image descriptors, where very high precision is usually unnecessary.
For more details, see the 
Integer k-means API
  reference.







Usage




Integer k-means (IKM) is run by the command
vl_ikmeans. In order to demonstrate the usage of this
command, we sample 1000 random points in the [0,255]^2
integer square and use vl_ikmeans to get k=3
clusters:



K = 3 ;
data = uint8(rand(2,1000) * 255) ;
[C,A] = vl_ikmeans(data,K) ;





The program returns both the cluster centers C and the
data-to-cluster assignments A. By means of the cluster
centers
C we can project more data on the same clusters



datat = uint8(rand(2,10000) * 255) ;
AT = vl_ikmeanspush(datat,C) ;





In order to visualize the results, we associate to each cluster a
color and we plot the points:



cl = get(gca,'ColorOrder') ;
ncl = size(cl,1) ;
for k=1:K
  sel  = find(A  == k) ;
  selt = find(AT == k) ;
  plot(data(1,sel),  data(2,sel),  '.',...
       'Color',cl(mod(k,ncl)+1,:)) ;
  plot(datat(1,selt),datat(2,selt),'+',...
       'Color',cl(mod(k,ncl)+1,:)) ;  
end










Integer k-means. We show clusters of 2-D points obtained by
integer k-means.  There are k=3 clusters represented with
different colors. The clusters have been estimated from 1000 points
(displayed as dots). Then 10000 different points have been projected on
the same clusters (displayed as crosses). The three big markers
represent the cluster centers.








Elkan




VLFeat supports two different implementations of k-means. While
they produce identical output, the Elkan method requires fewer
distance computations.  The method parameters controls
which method is used. Consider the case when K=100 and our
data is now 128 dimensional (e.g. SIFT descriptors):



K=100;
data = uint8(rand(128,10000) * 255);
tic;
[C,A] = vl_ikmeans(data,K,'method', 'lloyd') ; % default
t_lloyd = toc
tic;
[C,A] = vl_ikmeans(data,K,'method', 'elkan') ;
t_elkan = toc

t_lloyd =

   10.2884

t_elkan =

    5.1405






   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/imdisttf.html000066400000000000000000000173171203326130700202220ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - Distance transf.
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - Distance transf.
  

  

    
   

      


The distance transform of an image image is defined
  as



  dt(u,v) = min  image(u',v') + alpha (u'-u-u0)^2 + beta (v'-v'-v0)^2
            u'v'




The most common use of the image distance transform is to propagate
the response of a feature detector to nearby image locations. This is
used, for example, in the implementation of certain deformable part
models or the computation of the Chamfer distance. In this tutorial,
the image distance transform is used to compute the distance of each
image pixel to the nearest element in an edge map, obtained from the
Canny's edge detector. The code of this tutorial is located in the
VLFeat folder in toolbox/demo/vl_demo_imdisttf.m.



VLFeat implements the fast distance transform algorithm of
Felzenszwalb and Huttelnocher [1], which has a
linear time complexity in the number of image pixels.



Consider the edge map extracted by the MATLAB built-in Canny edge
detector on one of VLFeat test images:



im = vl_impattern('roofs1') ;
im = im(1:100,1:100,:) ;
imSize = [size(im,1) size(im,2)] ;
edges = zeros(imSize) + inf;
edges(edge(rgb2gray(im), 'canny')) = 0 ;






 
 
 

  
   Left: A detail of the source image. Right: Extracted
   Canny edges. Figure generated by vl_demo_imdisttf.
  
 





The edge map is preprocessed to assign value -inf to
the pixels that do not contain an edge element and o to
the pixels that do. In this way, the distance transform of the image
has for each pixel the distance to the nearest edge element, provided
that one chooses alpha=beta=1 and v0=u0=0 in
the definition. Since these are the default values for VLFeat
implementations, the result an be computed by



[distanceTransform, neighbors] = vl_imdisttf(single(edges)) ;





The matrix neighbors contains for each
pixel (u,v) the index of the pixel (u',v')
where the maximum is attained in the definition of the distance
transform. This allows to associate to know for each pixel which is
the nearest edge element, not just its distance, as exemplified by the
following figure:




 
 
 

  
   The distance sqrt(distanceTransform) to the closest
   edge element (left) and arrows connecting pixels to their closest
   edge element (right). Figure generated
   by vl_demo_imdisttf.
  
 






References


    
  
  • [1] P. F. Felzenszwalb and
      D. P. Huttenlocher. Distance transforms of sampled
      functions. Technical report, Cornell University, 2004.
    • 




   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/kdtree.html000066400000000000000000000267431203326130700176600ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - kd-tree
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - kd-tree
  

  

    
   

      


VLFeat implements the randomized kd-tree forest from
FLANN.
This enables fast medium and large scale nearest neighbor
queries among high dimensional data points (such as those produced by SIFT).







Introduction




A kd-tree is a data structure used to quickly solve
nearest-neighbor queries. Consider a set of 2D points uniformly
distributed in the unit square:



  X = rand(2, 100) ;





A kd-tree is generated by using the vl_kdtreebuild function:




  kdtree = vl_kdtreebuild(X) ;





The returned kdtree indexes the set of
points X. Given a query point Q, the
function vl_kdtreequery returns its nearest neighbor
in X:



  Q = rand(2, 1) ;
  [index, distance] = vl_kdtreequery(kdforest, X, Q) ;





Here index stores the index of the column
of X that is closest to the point Q.
distance is the squared euclidean distance between X(index),Q.



A kd-tree is a hierarchal structure built by partitioning the data
recursively along the dimension of maximum variance. At
each iteration the variance of each column is computed and the data is
split into two parts on the column with maximum variance. The
splitting threshold can be selected to be the mean or the median (use
the ThresholdMethod option of
vl_kdtreebuild).




 
 
 

  
   kd-tree partitions of a uniform set of data points, using
   the mean (left image) and the median (right image) thresholding
   options of vl_kdtreebuild. On the bottom right corner
   a query point is marked along with the ten closest neighbors as
   found by vl_kdtreequery. Figure generated
   by vl_demo_kdtree.
  
 






Querying




vl_kdtreequery uses a best-bin first search
heuristic. This is a branch-and-bound technique that maintains an
estimate of the smallest distance from the query point to any of the
data points down all of the open paths.



vl_kdtreequery supports two important operations:
  approximate nearest-neighbor search and k-nearest
  neighbor search. The latter can be used to return the 
  k nearest neighbors to a given query point Q.
  For instance:




[index, distance] = vl_kdtreequery(kdtree, X, Q, 'NumNeighbors', 10) ;





returns the closest 10 neighbors to Q
in X and their distances, stored along the columns of
index and distance.



The MaxComparisons option is used to run an ANN query.
The parameter specifies how many paths in the best-bin-first search of
the kd-tree can be checked before giving up and returning the closest
point encountered so far. For instance:



[index, distance] = vl_kdtreequery(kdtree, X, Q, 'NumNeighbors', 10, 'MaxComparisons', 15) ;





does not compare any point in Q with more than 15
points in X.




 
 
 
 
 

  
    Finding the 10 approximated nearest neighbors for increasing
    values of the MaxComparisons parameter. Note that at
    most MaxComparisons neighbors can be returned (if more
    are requested, they are ignored). Figure generated
    by vl_demo_kdtree_ann.
  
 






Randomized kd-tree forests




VLFeat supports constructing randomized forests of
kd-trees to improve the effectiveness of the representation in high
dimensions. The parameter NumTrees of
vl_kdtreebuild specifies how many trees to use in
constructing the forest. Each tree is constructed independently.
Instead of always splitting on the maximally variant dimension, each
tree chooses randomly among the top five most variant dimensions at
each level. When querying, vl_kdtreequery runs
best-bin-first across all the trees in parallel. For instance



  kdtree = vl_kdtreebuild(X, 'NumTrees', 4) ;
  [index, distance] = vl_kdtreequery(kdtree, X, Q) ;





constructs four trees and queries them.




 
 
 
 
 

  
    The parameter NumTrees
    tells vl_kdtreebuild to construct a number of
    randomized kd-trees. Figure generated
    by vl_demo_kdtree_forest.
  
 






   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/mser.html000066400000000000000000000265561203326130700173520ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - MSER
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - MSER
  

  

    
   

     


Maximally Stable Extremal Regions (MSER) is a feature
detector; Like the SIFT detector, the
MSER algorithm extracts from an image I a number of
co-variant regions, called MSERs. An MSER is a stable
connected component of some level sets of the
image I. Optionally, elliptical frames are attached to
the MSERs by fitting ellipses to the regions. For a more in-depth explanation
of the MSER detector, see our API reference for MSER






Extracting MSERs




Each MSERs can be identified uniquely by (at least) one of its
pixels x, as the connected component of the level set at
level I(x) which contains x. Such a pixel is
called seed of the region.



To demonstrate the usage of the MATLAB command vl_mser
we open MATLAB and load a test image



pfx = fullfile(vl_root,'data','spots.jpg') ;
I = imread(pfx) ;
image(I) ; 










A test image.







We then convert the image to a format that is suitable for the
vl_mser command.



I = uint8(rgb2gray(I)) ;





We compute the region seeds and the elliptical frames by



[r,f] = vl_mser(I,'MinDiversity',0.7,...
                'MaxVariation',0.2,...
                'Delta',10) ;





We plot the region frames by



f = vl_ertr(f) ;
vl_plotframe(f) ;





vl_ertr transposes the elliptical frame and is
required here because the vl_mser code assumes that the row index
is the first index, but the normal image convention assumes that this is the
x (column) index.



Plotting the MSERs themselves is a bit more involved as they have
arbitrary shape.  To this end, we exploit two
functions: vl_erfill, which, given an image and a region
seed, returns a list of the pixels belonging to that region, and
the MATLAB built-in contour, which draws the contour lines
of a function. We start by



M = zeros(size(I)) ;
for x=r'
 s = vl_erfill(I,x) ;
 M(s) = M(s) + 1;
end





which computes a matrix M whose value are equal to the
number of overlapping extremal regions. Next, we use M
and contour to display the region boundaries:



figure(2) ;
clf ; imagesc(I) ; hold on ; axis equal off; colormap gray ;
[c,h]=contour(M,(0:max(M(:)))+.5) ;
set(h,'color','y','linewidth',3) ;











Extracted MSERs (left) and fitted ellipses (right).








MSER parameters




In the original formulation, MSERs are controlled by a single
parameter Δ, which controls how the stability is
calculated. Its effect is shown in the figure below.












  Effect of Δ. We start with a synthetic
  image which has an intensity profile as shown.  The bumps have
  heights equal to 32, 64, 96, 128 and 160. As we increase
  Δ, fewer and fewer regions are detected until
  finally at Δ=160 there is no region
  R which is stable at R(+Δ).







The stability of an extremal region R is the inverse
of the relative area variation of the region R when the
intensity level is increased by Δ. Formally, the
variation is defined as:



   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/pegasos.html000066400000000000000000000334071203326130700200360ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - Pegasos
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - Pegasos
  

  

    
   

     


VLFeat includes a fast SVM solver, called 
vl_svmpegasos. The function implements the Pegasos SVM 
algorithm [1], with a few adds such online 
Homogeneous kernel map expansion and SVM online statistics. 
 


















Pegasos SVM






A simple example on how to use vl_svmpegasos is presented below. Let's first build the training data  


% Set up training data
Np = 200 ;
Nn = 200 ;

Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2  ;
Xn(1,:) = Xn(1,:) - 2  ;

X = [Xp Xn] ;
y = [ones(1,Np) -ones(1,Nn)] ;




Plotting X and y we have 



 
 

  
   Training Data.
  
 





Learning a linear classifier can be easily done with the following 2
lines of code:



dataset = vl_maketrainingset(X, int8(y)) ;
[w b info] = vl_svmpegasos(dataset, 0.01, ...
                           'MaxIterations',5000) ;





where we first create a struct containing the training data
using  vl_maketraining data and then we call the the SVM
solver. The output model w is plotted over the training
  data in the following figure. 




 
 

  
   Learned model.
  
 





 The output b is equal to 0 since the
  training data admits an SVM model passing from the origins. 



 The output info is a struct containing some
  statistic on the learned SVM: 




info = 

           dimension: 2
          iterations: 5000
       maxIterations: 5000
             epsilon: -1
              lambda: 0.0100
      biasMultiplier: 0
    biasLearningRate: 1
     energyFrequency: 100
         elapsedTime: 0.0022
              energy: 0.1727
     regularizerTerm: 0.0168
             lossPos: 0.1003
             lossNeg: 0.0556
         hardLossPos: 0.1050
         hardLossNeg: 0.0750





It is also possible to  use under some
  assumptions[2] an homogeneous kernel map expanded online inside the
  solver. This can be done with the following command:  



dataset = vl_maketrainingset(X, int8(y).'homkermap',2,'KChi2') ;





The above code creates a training set without applying any
  homogeneous kernel map to the data. When the solver is called  it will expand each data point with a Chi Squared kernel
  of period 2.




Real-time diagnostics




VLFeat allows to get statistics during the training process. It is
  sufficient to pass a function handle to the solver. The function
  will be then called every energyFrequency time.



The following function simply plots the SVM energy values for all
  the past iterations: 



function energy = diagnostics(svm,energy)
  figure(2) ; 
  energy = [energy svm.energy] ;
  plot(energy) ;
  drawnow ;





The energy value for the past iterations are kept in the
  row vector energy. The following code produces a plot of the energy value in real-time during the learning process. 



energy = [] ;
dataset = vl_maketrainingset(X, int8(y)) ;
[w b info] = vl_svmpegasos(dataset, lambda, ...
                           'MaxIterations',5000,...
                           'DiagnosticFunction',@diagnostics,...
                           'DiagnosticCallRef',energy) ;






 
 

  
   SVM real-time energy values plot.
  
 





References




    
  
  • [1] Y. Singer and N. Srebro Pegasos: Primal
  estimated sub-gradient solver for SVM In Proc. ICML,
  2007.

    • 

  • [2] A. Vedaldi and A. Zisserman. Efficient additive
    kernels via explicit feature maps. In PAMI, 2011. 

    • 




   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/plots-rank.html000066400000000000000000000365611203326130700204730ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - Plots: rank
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - Plots: rank
  

  

    
   

     


This tutorial illustrates the use of the functions
vl_roc,
vl_det, and
vl_pr to generate ROC, DET,
and precision-recall curves.



VLFeat includes support for plotting starndard information
retrieval curves such as the Receiver Operating Characteristic
(ROC) and the Precision-Recall (PR) curves.



Consider a set of samples with labels labels and
score scores. scores is typically the output
of a classifier, with higher scores corresponding to positive
labels. Ideally, sorting the data by decreasing scores should leave
all the positive samples first and the negative samples last.  In
practice, a classifier is not perfect and the ranking is not ideal.
The tools discussed in this tutorial allow to evaluate and visualize
the quality of the ranking.



For the sake of the illustration generate some data randomly as
follows:



numPos = 20 ;
numNeg = 100 ;
labels = [ones(1, numPos) -ones(1,numNeg)] ;
scores = randn(size(labels)) + labels ;





In this case, there have five times more negative samples than
positive ones. The scores are correlated to the labels as expected,
but do not allow for a perfect separation of the two classes.




ROC and DET curves


 

To visualize the quality of the ranking, one can plot the ROC curve
by using the vl_roc
function:



vl_roc(labels, scores) ;





This produces the figure






An example ROC curve.





The ROC curve is the parametric curve given by the true positve
rate (TPR) against the true negative rate (TNR). These two quantities
can be obtained from vl_roc as follows:



[tpr, tnr] = vl_roc(labels, scores) ;





The TPR value tpr(k) is the percentage of positive
samples that have rank smaller or equal than k (where
ranks are assigned by decreasing scores). tnr(k) is
instead the percentage of negative samples that have rank larger
than k. Therefore, if one classifies the samples with
rank smaller or equal than k to be positive and the rest
to be negative, tpr(k) and tnr(k) are
repsectively the probability that a positive/negative sample is
classified correctly.



Moving from rank k to rank k+1, if the
sample of rank k+1 is positive then tpr
increases; otherwise tnr decreases. An ideal classifier
has all the positive samples first, and the corresponding ROC curve is
one that describes two sides of the unit square.



The Area Under the Curve (AUC) is an indicator of the
overall quality of a ROC curve. For example, the ROC of the ideal
classifier has AUC equal to 1. Another indicator is the Equal
Error Rate (EER), the point on the ROC curve that corresponds to
have an equal probability of miss-classifying a positive or negative
sample. This point is obtained by intersecting the ROC curve with a
diagonal of the unit square. Both AUC and EER can be computed
by vl_roc:



[tpr, tnr, info] = vl_roc(labels, scores) ;
disp(info.auc) ;
disp(info.eer) ;





vl_roc has a couple of useful functionalities:



    

  • Any sample with label equal to zero is effecitvely ignored in the
evaluation.
    • 


  • Samples with scores equal to -inf are assumed to be
never retrieved by the classifier. For these, the TNR is
conventionally set to be equal to zero.
    • 


  • Additional negative and positive samples with -inf
score can be added to the evaluation by means of
the numNegatives and numPositives
options. For example,
vl_roc(labels,scores,'numNegatives',1e4) sets the number
of negative samples to 10,000. This can be useful when evaluating
large retrieval systems, for which one may want to record
in labels and scores only the top ranked
results from a classifier.
    • 


  • Different variants of the ROC plot can be produced. For example
vl_roc(labels,scores,'plot','tptn') swaps the two axis,
plotting the TNR against the TPR.  Since the TPR is also the recall
(i.e., the percentage of positive samples retrieved up to a certain
rank), this makes the plot more directly comparable to
a precision-recall plot.

    


    Variants of the ROC plot.
    

    

    • 




A limitation of the ROC curves in evaluating a typical retrieval
system is that they put equal emphasis on false positive and false
negative errors. In a tipical retrieval application, however, the vast
majority of the samples are negative, so the false negative rate is
typically very small for any operating point of interest. Therefore
the emphasis is usually on the very first portion of the rank, where
the few positive samples should concentrate. This can be emphasized by
using either precision-recall plot or a
variant of the ROC curves called Detection Error Tradeoff (DET)
curves.



A DET curve plots the FNR (also called false alarm rate)
against teh FPR (also called miss rate) in logarithmic
coordiantes.  It can be generated
by vl_det function
call:






An example DET curve.






Precision-recall curves




Both ROC and DET curves normalize out the relative proportions of
positive and negative samples. By contrast, a Precision-Recall
(PR) curve reflects this directly. One can plot the PR curve by
using the vl_pr
function:



vl_pr(labels, scores) ;





This produces the figure






An example precision-recall curve.





The PR curve is the parametric curve given by precision and
recall. These two quantities can be obtained from vl_roc
as follows:



[recall, precision] = vl_roc(labels, scores) ;





The precision value precision(k) is the proportion of
samples with rank smaller or equal than k-1 that are
positive(where ranks are assigned by decreasing
scores). recall(k) is instead the percentage of positive
samples that have rank smaller or equal than k-1. For
example, if the first two samples are one positive and one
negative, precision(3) is 1/2. If there are in total 5
positive samples, then recall(3) is 1/5.



Moving from rank k to rank k+1, if the
sample of rank k+1 is positive then
both precision and recall increase;
otherwise precision decreases and recall
stays constant. This gives the PR curve a characteristic
saw-shape. For aan ideal classifier that ranks all the positive
samples first the PR curve is one that describes two sides of the unit
square.



Similar to the ROC curves, the Area Under the Curve (AUC)
can be used to summarize the quality of a ranking in term of precision
and recall. This can be obtained as info.auc by



[rc, pr, info] = vl_pr(labels, scores) ;
disp(info.auc) ;
disp(info.ap) ;
disp(info.ap_interp_11) ;





The AUC is obtained by trapezoidal interpolation of the precision.
An alternative and usually almost equivalent metric is the Average
Precision (AP), returned as info.ap. This is the
average of the precision obtained every time a new positive sample is
recalled. It is the same as the AUC if precision is interpolated by
constant segments and is the definition used by TREC most
often. Finally, the 11 points interpolated average precision,
returned as info.ap_interp_11. This is an older TREC
definition and is obtained by taking the average of eleven precision
values, obtained as the maximum precision for recalls largerer than
0.0, 0.1, ..., 1.0. This particular metric was used, for example, in
the PASCAL VOC challenge until the 2008 edition.



   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/quickshift.html000066400000000000000000000201711203326130700205410ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - Quick shift
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - Quick shift
  

  

    
   

      


Quick shift is a mode seeking algorithm (like mean shift) which
instead of iteratively shifting each point towards a local mean instead forms a tree of links to the nearest neighbor which increases the density. For a more in-depth description of the algorithm, see our
API reference for quick shift



 


Using quick shift to find superpixels




This demo shows quick shift in a simple superpixelization problem where we seek to segment this image:




  
  
The image we wish to segment





As a feature vector, we choose the LAB colorspace representation of the image augmented with the x,y location of the pixel. vl_quickseg is a convenient wrapper function which takes care of the transformation of the image to LAB and performs segmentation, making our job as easy as:



ratio = 0.5;
kernelsize = 2;
Iseg = vl_quickseg(I, ratio, kernelsize, maxdist);





where ratio is the tradeoff between color importance and spatial importance (larger values give more importance to color), kernelsize is the size of the kernel used to estimate the density, and maxdist is the maximum distance between points in the feature space that may be linked if the density is increased.







The effect of maxdist on the superpixelization. As we increase maxdist, superpixels become larger and larger since we can link less similar points. Top: maxdist=10. Bottom: maxdist=20.






Multiple segmentations




Quick shift arranges all of the data points into a tree where parents in the tree are the nearest neighbors in the feature space which increase the estimate of the density. By imposing a limit on the distance between nearest neighbors (maxdist), we decrease the amount of computation required to search for the nearest neighbors. However, we also break our tree into a forest, because local modes of the density will now have no neighbor which is close enough in the feature space to form a link.



In the previous section, we created a superpixel segmentation by taking each of the trees in this forest as a distinct cluster. However, since maxdist simply prevents new links from forming, the segmentation formed by every dist < maxdist is contained in the result. vl_quickvis lets us visualize this by running quick shift once and forming multiple segmentations by cutting links in the tree which are smaller and smaller.



maxdist = 50;
ndists = 10;
Iedge = vl_quickvis(I, ratio, kernelsize, maxdist, ndists)
imagesc(Iedge);
axis equal off tight;
colormap gray;








A visualization of multiple maxdist thresholds on a single image. Here, boundaries are colored by the largest maxdist where the boundary is preserved.





   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/sift.html000066400000000000000000000563561203326130700173520ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - SIFT
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - SIFT
  

  

    
   

     


The Scale-Invariant Feature Transform (SIFT) bundles a
feature detector and a feature descriptor. The detector extracts from
an image a number of frames (attributed regions) in a way which is
consistent with (some) variations of the illumination, viewpoint and
other viewing conditions. The descriptor associates to the regions a
signature which identifies their appearance compactly and
robustly. For a more in-depth description of the algorithm, see our
API reference for SIFT.






Extracting frames and descriptors




Both the detector and descriptor are accessible by
the vl_sift MATLAB command (there is a similar command
line utility). Open MATLAB and load a test image



I = vl_impattern('roofs1') ;
image(I) ;






 
 

  
   Input image.
  
 





The vl_sift command requires a single precision gray
scale image. It also expects the range to be normalized in the [0,255]
interval (while this is not strictly required, the default values of
some internal thresholds are tuned for this case). The image
I is converted in the appropriate format by



I = single(rgb2gray(I)) ;





We compute the SIFT frames (keypoints) and descriptors by



[f,d] = vl_sift(I) ;





The matrix f has a column for each frame. A frame is a
disk of center f(1:2), scale f(3) and
orientation f(4) . We visualize a random selection of 50
features by:



perm = randperm(size(f,2)) ;
sel = perm(1:50) ;
h1 = vl_plotframe(f(:,sel)) ;
h2 = vl_plotframe(f(:,sel)) ;
set(h1,'color','k','linewidth',3) ;
set(h2,'color','y','linewidth',2) ;






 
 

  Some of the detected SIFT frames.
 





We can also overlay the descriptors by



h3 = vl_plotsiftdescriptor(d(:,sel),f(:,sel)) ;
set(h3,'color','g') ;






 
 

  A test image for the peak threshold parameter.
 






Basic matching




SIFT descriptors are often used find similar regions in two
images. vl_ubcmatch implements a basic matching
algorithm. Let Ia and Ib be images of the
same object or scene. We extract and match the descriptors by:




[fa, da] = vl_sift(Ia) ;
[fb, db] = vl_sift(Ib) ;
[matches, scores] = vl_ubcmatch(da, db) ;






 
 
 

  Top: A pair of images of the same scene. Bottom: Matching of SIFT
  descriptors with vl_ubcmatch.
 






For each descriptor in da, vl_ubcmatch finds
the closest descriptor in db (as measured by the L2 norm
of the difference between them). The index of the original match and
the closest descriptor is stored in each column of
matches and the distance between the pair is stored in
scores.





Matches also can be filtered for uniqueness by passing a third
parameter to vl_ubcmatch which specifies a threshold.
Here, the uniqueness of a pair is measured as the ratio of the
distance between the best matching keypoint and the distance to the
second best one (see vl_ubcmatch for further details).






Detector parameters




The SIFT detector is controlled mainly by two parameters: the peak
 threshold and the (non) edge threshold.




The peak threshold filters peaks of the DoG scale space
  that are too small (in absolute value). For instance, consider a
  test image of 2D Gaussian blobs:



I = double(rand(100,500) <= .005) ;
I = (ones(100,1) * linspace(0,1,500)) .* I ;
I(:,1) = 0 ; I(:,end) = 0 ;
I(1,:) = 0 ; I(end,:) = 0 ;
I = 2*pi*4^2 * vl_imsmooth(I,4) ;
I = single(255 * I) ;






 
  

   A test image for the peak threshold parameter.
  





We run the detector with peak threshold peak_thresh by



f = vl_sift(I, 'PeakThresh', peak_thresh) ;





obtaining fewer features as peak_thresh is increased.




 
 
 
 
 

   
     Detected frames for increasing peak threshold.

     From top: peak_thresh = {0, 10, 20, 30}.
  
 





The edge threshold eliminates peaks of
the DoG scale space whose curvature is too small (such peaks yield
badly localized frames). For instance, consider the test image



I = zeros(100,500) ;
for i=[10 20 30 40 50 60 70 80 90]
I(50-round(i/3):50+round(i/3),i*5) = 1 ;
end
I = 2*pi*8^2 * vl_imsmooth(I,8) ;
I = single(255 * I) ;










A test image for the edge threshold parameter.







We run the detector with edge threshold edge_thresh by



f = vl_sift(I, 'edgethresh', edge_thresh) ;





obtaining more features as edge_thresh is increased:











  Detected frames for increasing edge threshold.

  From top: edge_thresh = {3.5, 5, 7.5, 10}








Custom frames




The MATLAB command vl_sift (and the command line utility)
can bypass the detector and compute the descriptor on custom frames using
the Frames option.



For instance, we can compute the descriptor of a SIFT frame
centered at position (100,100), of scale 10
and orientation -pi/8 by



fc = [100;100;10;-pi/8] ;
[f,d] = vl_sift(I,'frames',fc) ;










  Custom frame at with fixed orientation.






 
Multiple frames fc may be specified as well. In this
  case they are re-ordered by increasing
  scale. The Orientations option instructs the program to
  use the custom position and scale but to compute the keypoint
  orientations, as in



fc = [100;100;10;0] ;
[f,d] = vl_sift(I,'frames',fc,'orientations') ;




 





Custom frame with computed orientations.







Notice that, depending on the local appearance, a keypoint may
have multiple orientations.  Moreover, a keypoint computed on
a constant image region (such as a one pixel region) has no
orientations!




Conventions




In our implementation SIFT frames are expressed in the standard
image reference.  The only difference between the command line and
MATLAB drivers is that the latter assumes that the image origin
(top-left corner) has coordinate (1,1) as opposed to (0,0). Lowe's
original implementation uses a different reference system, illustrated
next:




 





Our conventions (top) compared to Lowe's (bottom).






 
Our implementation uses the standard image reference system, with
  the y axis pointing downward. The frame
  orientation θ and descriptor use the same reference
  system (i.e. a small positive rotation of the x moves it
  towards the y axis). Recall that each descriptor element
  is a bin indexed by (θ,x,y); the histogram is
  vectorized in such a way that θ is the fastest
  varying index and y the slowest.


 
By comparison, D. Lowe's implementation (see bottom half of the
  figure) uses a slightly different convention: Frame centers are
  expressed relatively to the standard image reference system, but the
  frame orientation and the descriptor assume that the  y 
  axis points upward. Consequently, to map from our to D. Lowe's
  convention, frames orientations need to be negated and the descriptor
  elements must be re-arranged.




Comparison with D. Lowe's SIFT




VLFeat SIFT implementation is largely compatible with
UBC (D. Lowe's)
implementation (note however that the keypoints are stored in a
slightly different format, see vl_ubcread). The following
figure compares SIFT keypoints computed by the VLFeat (blue) and UBC
(red) implementations.








VLFeat keypoints (blue) superimposed to D. Lowe's keypoints
(red). Most keypoints match nearly exactly.







The large majority of keypoints correspond nearly exactly. The
following figure shows the percentage of keypoints computed by the two
implementations whose center matches with a precision of at least 0.01
pixels and 0.05 pixels respectively.








Percentage of keypoints obtained from the VLFeat and UBC implementations
that match up to 0.01 pixels and 0.05 pixels.







Descriptors are also very similar. The following figure shows the
percentage of descriptors computed by the two implementations whose
distance is less than 5%, 10% and 20% of the average descriptor
distance.








Percentage of descriptors obtained from the VLFeat and UBC
implementations whose distance is within 10% and 20% of the average
descriptor distance.







   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/slic.html000066400000000000000000000125341203326130700173250ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - SLIC
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - SLIC
  

  

    
   

     


SLIC is superpixel extraction (segmentation) method based on
a local version of k-means. For a detailed description of the
algorithm, see the SLIC API
reference.



This demo shows how to use SLIC to extract superpixels from this
image:




  
  
The image to be segmented





In the simplest form, SLIC can be called as:



% im contains the input RGB image as a SINGLE array
regionSize = 10 ;
regularizer = 10 ;
segments = vl_slic(im, regionSize, regularizer) ;





By making varting regionSize and
regularizer one obtains the segmentations:






SLIC segmentations regionSize
spaning the values 10,30, and
regularizer the values 0.01, 0.1, 1.





SLIC is often intended to be applied on top of LAB rather than RGB
images. To do this, simpyl convert the image to LAB format before
calling vl_slic.



% IM contains the image in RGB format as before
imlab = vl_xyz2lab(vl_rgb2xyz(im)) ;
segments = vl_slic(imlab, 10, 0.1) ;





   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/tut.html000066400000000000000000000140731203326130700172070ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials
  

  

    
   

    
   


This section features a number of tutorials illustrating some of
the main algorithms implemented in VLFeat. The tutorials can be
roughly grouped into two categories. The first class of algorithms
detect and describe image regions
(features). The second
class of algorithms
cluster data.


Features





Clustering





Other








   
   
   
   
   
   
   
   
   
   
   
   
   
   
   
  
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/overview/utils.html000066400000000000000000000121311203326130700175240ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Tutorials - Utils
  

  
  

  
  

  
  
 

 
 
  
  

   Tutorials - Utils
  

  

    
   

     


This is a list of other notable MATLAB functions included in VLFeat



    

  • vl_imsmooth smoothes an image by a Gaussian kernel
  (simple but very useful as it is generally much faster than MATLAB's
  general purpose smoothing functions).
    • 


  • vl_plotframe plots a variety of feature frame types (such as oriented ellipses).
    • 


  • vl_binsum performs binned summations, useful as a
  building block for the fast computation of
  histograms. vl_whistc computes weighed histograms.
    • 

  • vl_imarray and vl_imarraysc arrange and visualize multiple
images in a grid
    • 

  • vl_imsc scales the image range;
    • 

  • vl_tightsubplot is similar to built-in
subplot, but produces narrower margins.
    • 


  • vl_cf makes a copy of a figure.
    • 


  • vl_rodr and vl_irodr compute the Rodrigues' formula and
  its inverse
    • 


  • vl_override overrides members of a structure with members of
  another structure.
    • 


  • vl_imwbackward warps an image by the inverse mapping method
  (generally much faster than MATLAB general purpose warping
  functions).
    • 


  • vl_waffine computes the affine warp of a set of
  points. vl_tps, vl_tpsu, vl_wtps
  compute the thin-plate spline warp of a set of points. vl_witps
  computes the inverse thin plate warp of a set of point (by
  numerically inverting the transformation). They may be used in
  combination with vl_imwbackward.
    • 


  • vl_xyz2lab, 
  vl_xyz2luv, vl_xyz2rgb, vl_rgb2xyz
  convert color spaces.
    • 


  • vl_rcos, vl_gaussian, vl_dgaussian,
vl_ddgaussian
compute some useful special functions.
    • 






   

   
 

  
 
   
 
 


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vlfeat-0.9.16/doc/roadmap.html000066400000000000000000000114341203326130700161460ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Home - About - PASCAL Harvest Roadmap
  

  
  

  
  

  
  
 

 
 
  
  

   Home - About - PASCAL Harvest Roadmap
  

  

    
   

    
      


PASCAL2 credits In 2012 the development of VLFeat is
supported by the PASCAL Harvest programme. Several people have been
working in Oxford to add new functionalities to the library. Moreover,
leading researchers in computer vision were consulted as
advisors of the project. These
contributions will be made public in the next several weeks as the
code is tuned and finalised.



A particularly significant contribution is the creation of a new
sub-project, VLBenchmakrs, for the evaluation of feature
detectors and descriptors. VLBenchmarks is meant to provide a
future-proof benchmarking suite. The first release includes
reimplementations of standard feature benchmarks to replace ageing
legacy code and a brand new benchmark. In the future, it will be used
to deliver to the community new, modern benchmarks in a consistent and
simple to use pacakge.



Version 0.9.18 (predicted January)


    

  • Large scale Approximate Nearest Neighbours (ANN) K-means.
    • 

  • Large scale ANN Gaussian Mixture Models (GMMs).
    • 

  • Fisher Kernel encoding.
    • 

  • Locality Linear Coding (LLC).
    • 




Version 0.9.17 (predicted end November)


    

  • Local Ternary Patterns (LTP).
    • 

  • Local Binary Patterns (LBP).
    • 




Version 0.9.16 (released)


    

  • VLBenchmarks: detector repeatability, descriptor matching
score, and image retrieval benchmarks.
    • 

  • Affine covariant feature detectors. The aim is to create a future
proof replacement of
the legacy
implementation.
    • 




Version 0.9.15 (released)


    

  • Histogram of Oriented Gradients (HOG) features.
    • 

  • New Stochastic Gradient Descent (SGD) Support Vector Machine
(SVM) implementation. Layed down a good infrastructure to add more
learning algorithms in the future.
    • 

  • Several utility functions (hashed summation, integral images,
plotting functions).
    • 

  • Significant cleanup of the codebase, outstanding bugs
squashed.
    • 



    
   

   
 

  
 
   
 
 


 vlfeat-0.9.16/doc/search.html000066400000000000000000000050271203326130700157710ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Search
  

  
  

  
  

  
  
 

 
 
  
  

   Search
  

   
   
 
 


 vlfeat-0.9.16/doc/vsexpress.html000066400000000000000000000141151203326130700165640ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download - C library install - Visual C++
  

  
  

  
  

  
  
 

 
 
  
  

   Download - C library install - Visual C++
  

  

    
   

    


  
These instructions show how to setup a basic VLFeat
  project with Visual C++ Express 2008 on Windows XP (32 bit).
  Instructions for other versions of Visual Studio should be
  similar.


  
First, we create a new project called vlfeat-client.
  Open Visual C++ Express 2008 and select File > New > Project
  and choose General > Empty Project. Give your project a
  name and location (here vlfeat-client) and click OK.


 New Project
 

 Empty Project

  
Next, we have to modify the project properties to include the
  VLFeat library and include directories. Right click on the
  project and select properties.


 Properties

 
We want these settings to apply to both Debug and Release builds, so
 switch to all configurations.


 All Configurations

 
Add an additional include path which points to the root of the
 VLFeat folder:


 Additional Includes

  
Add an additional library include path pointing to the bin/w32
  folder in the distribution, and add vl.dll as a
  dependency:


 Additional LIBDIR

 Additional Dependencies

 
This will allow us to compile, but we will not be able to run,
 getting  because vl.dll will not be found:


 vl.dll was not found

 
To remedy this, we add a post-build step which copies vl.dll to
 the debug or release folder.  Since this only needs to be done once
 for each project, we could instead copy the file manually.


 Post-build step

 
Now that we have created our project, add a new .cpp file (right
 click on Source Files and choose Add > New Item) with
 this code:



extern "C" {
#include <vl/generic.h>
}

int main (int argc, const char * argv[]) {
  VL_PRINT ("Hello world!\n") ;
  return 0;
}




 
Build and run the project (Ctrl+F5). It should run correctly, and
 you should see this:


 Visual C++ OK


   

   
 

  
 
   
 
 


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vlfeat-0.9.16/doc/xcode.html000066400000000000000000000156311203326130700156300ustar00rootroot00000000000000


 
  
  
  

  
  
  
  VLFeat - Download - C library install - Xcode
  

  
  

  
  

  
  
 

 
 
  
  

   Download - C library install - Xcode
  

  

    
   

    

 
These instructions show how to setup a basic VLFeat project
  with Apple Xcode.  For the sake of simplicty, we create a command
  line tool written in C. However, these steps apply with minor
  modifications to other project types and to the C++ lanuage.


 
First, let us create a new project
  called vlfeat-client. Open Xcode and select File
  > New Project > Command Line Utility > Standard Tool
  and click Choose. Give a name to your project (in our
  case vlfeat-client), and click Save.


 

 Xcode new project
 


 
Now we need to add VLFeat to the C compiler include search
  path. To do this, select the vlfeat-client target and
  open the information panel (the blue button,
  or Command-i). Then select the Build panel, search for
  the field Header Search Paths, and add
  VLFeat root path (in our case this is
  just ~/src/vlfeat).


 Xcode info

 
Next, we add the libvl.dylib library file to the
  project resources so that Xcode links against it. To do this, drag
  and drop the libvl.dylib file (in our example
  ~/src/vlfeat/bin/maci/libvl.dylib) to the left panel and click
  Add.


 Xcode dylib

 
Next, edit the main.c source file and type the following code:



#include <vl/generic.h>

int main (int argc, const char * argv[]) {
  VL_PRINT ("Hello world!") ;
  return 0;
}




 Xcode edit

 
If you try to build the project, it should compile without errors
  (if you are using C++, do not forget to wrap the include
  statements in a extern "C" {} block). However, if you try
  to run the program, it will fail, complaining that it cannot find the
  library image.


 Xcode error

 
The reason is that libvl.dylib is compiled with the
  library install_name equal
  to @loader_path/libvl.dylib. This causes the run-time
  loader to look for the library in the same directory of the
  executable. There are two ways around this problem: The first is to
  install the library in a standard location
  (e.g. /usr/local/lib) and use the otool
  command to change the
  library install_name. The other is to simply copy
  the libvl.dylib file in the executable directory. Here we
  demonstrate the second technique.


 
To copy libvl.dylib in the executable directory, we
  add a Copy Files build phase to the project. Right-click
  the vlfeat-client target in the project panel and select
  Add > New Build Phase > New Copy Files Build
   Phase. Select Destination: Executables. Then drag-and-drop
  the libvl.dylib item from the panel to the Copy
   Files build phase.


 Xcode copy
 Xcode copy

 
Now rebuild the project, and run it. It should run correctly,
  and if you open the debugger console you should see this:


 Xcode ok


   

   
 

  
 
   
 
 


 vlfeat-0.9.16/docsrc/000077500000000000000000000000001203326130700143425ustar00rootroot00000000000000vlfeat-0.9.16/docsrc/about.html000066400000000000000000000142341203326130700163460ustar00rootroot00000000000000



VLFeat is a cross-platform open source collection of vision
algorithms with a special focus on visual features (for instance SIFT
and MSER) and clustering (k-means, hierarchical k-means, agglomerative
information bottleneck). It bundles a MATLAB toolbox, a clean and
portable C library and a number of command line utilities. Thus it is
possible to use the same algorithm both from MATLAB, the command line,
and your own programs.



Many parties make the development of VLFeat possible:






Sponsors




PASCAL2 credits In 2012 the development of VLFeat is
supported by the PASCAL Harvest programme. Several people have been
working in Oxford to add new functionalities to the library. Moreover,
leading researchers in computer vision were consulted as
advisors of the project.



Some of these advancements are going to be presented at an upcoming
tutorial at
the European Conference in Computer Vision (ECCV) 2012.



See the PASCAL Harvest Roadmap for
further details.




Team




VLFeat is developed by a team of computer vision
researchers, including master and PhD students, postgraduates, and
senior researchers, as listed below. VLFeat was created by Andrea
Vedaldi and Brian Fulkerson in 2007, based on previously published
software by the same authors.




 Andrea Vedaldi picture

 Andrea Vedaldi joined
 the faculty at the University of Oxford in 2012. Since 2008 he was
 junior research fellow in the Oxford Visual Geometry Group. He
 received the Ph.D. and Master's degrees in Computer Science from the
 University of California - Los Angeles, in 2008 and 2005, and the
 Bachelor's degree in Information Engineering from the University of
 Padova, Italy, in 2003. He is the recipient of the UCLA outstanding
 Master's and Ph.D. awards.





 Brian Fulkerson picture

 Brian Fulkerson received
 his B.S. in Computer Engineering from the University of California -
 San Diego in 2004, and his M.S. and Ph.D.  in Computer Science from
 the University of California - Los Angeles Vision Lab in 2006 and
 2010.





 Karel Lenc picture

 Karel Lenc Karel Lenc received his
 B.S. degree in Cybernetics and Measurements from the Czech Technical
 University in 2010. He is currently pursuing M.S. degree in Computer
 Vision and Computer Engineering at the CTU, Center for Machine
 Perception. He visited the Department of Engineering Mathematics,
 University of Bristol in 2011 and the Oxford Visual Geometry Group in
 2012.





 Daniele Perrone picture

 Daniele Perrone
 received his  B.S. degree in Computer Engineering from Università
 della Calabria in 2007, and his M.S. degree in Artificial
 Intelligence from "Sapienza" Università di Roma in 2009. He started
 his Ph.D. in June 2010 at  Heriot-Watt University, Edinburgh,
 UK. From June 2012 he joined the Computer Vision Group at the Universität Bern,
 Switzerland.





 Michal Perdoch picture

 Michal Perdoch
 received his Bachelor's degree in Software Engineering from the
 Slovak University of Technology in Bratislava in 2001, Master's
 degree in Computer Science and Ph.D. degree in Artificial
 Intelligence and Biocybernetics from the Czech Technical University
 in Prague, in 2004 and 2011. He is currently a postdoctoral
 researcher at the CTU Center for Machine Perception.








Advisors




The development of VLFeat is supported by a number of computer
vision groups and researchers:



    

  • Prof. Andrew
Zisserman, Oxford VGG
Lab.
    • 

  • Prof. Jiri Matas, Czech Technical University in Prague.
    • 

  • Prof. Tinne Tuytelaars, KU Leuven.
    • 

  • Dr. Cordelia Schmid, LEAR, Grenoble.
    • 

  • Dr. Krystian Mikolajczyk, Surrey.
    • 

  • Prof. Stefano Soatto, UCLA Vision
Lab.
    • 








Users and community




The authors would like to thank the many colleagues that have
contributed to VLFeat by testing and providing helpful suggestions and
comments.



vlfeat-0.9.16/docsrc/aib.html000066400000000000000000000037021203326130700157650ustar00rootroot00000000000000




The Agglomerative Information Bottleneck (AIB) algorithm
greedily compresses discrete data by iteratively merging the two
elements which cause the mutual information between the data and the
class labels to decreases as little as possible.



Here we test AIB on the problem of finding a discriminatively
optimal quantization of a mixture of Gaussians. The data in this case
is 2 dimensional:








Random data generated from a Gaussian mixture with three components
(class labels are indicated by color).







We quantize this data on a fixed lattice (a 20x20 grid shown in the
figures below), and construct histograms for each class.



f1 = quantize(X1,D,K) ;
f2 = quantize(X2,D,K) ;
f3 = quantize(X3,D,K) ;

Pcx(1,:) = vl_binsum(Pcx(1,:), ones(size(f1)), f1) ;
Pcx(2,:) = vl_binsum(Pcx(2,:), ones(size(f2)), f2) ;
Pcx(3,:) = vl_binsum(Pcx(3,:), ones(size(f3)), f3) ;



Next we apply AIB:



[parents, cost] = vl_aib(Pcx) ;



This provides us with a list of parents of each column
in Pcx, forming a tree of merges. We can now "cut" this
tree to obtain any number of clusters.










Three "cuts" of the merge tree, showing 10, 3, and 2 clusters. The
gray squares are nodes of the tree which did not have any data points
which were quantized to them.







Notice that the resulting clusters do not have to be contiguous in
the original space.



vlfeat-0.9.16/docsrc/api.html000066400000000000000000000000221203326130700157730ustar00rootroot00000000000000
vlfeat-0.9.16/docsrc/apps.html000066400000000000000000000027611203326130700162010ustar00rootroot00000000000000




This page lists a number of sample VLFeat applications. Their code
  can be found in the VLROOT/apps/ subdirectory.



Caltech-101 classification


Caltech-101 Collage


This sample application uses VLFeat to train an test an image
classifier on the Caltech-101 data. The classifier achieves 65%
average accuracy by using a single feature and 15 training images per
class. It uses:


    

  • PHOW features (dense multi-scale SIFT descriptors)
    • 

  • Elkan k-means for fast visual word dictionary
construction
    • 

  • Spatial histograms as image descriptors
    • 

  • A homogeneous kernel map to transform a Chi2 support vector
machine (SVM) into a linear one
    • 

  • An internal SVM (based on PEGASOS) for classification
    • 




The program is fully contained in
a single MATLAB M-file,
and can also be simply adapted to use your own data (change
conf.calDir).



SIFT mosaic


SIFT mosaic


This sample application uses VLFeat to extract SIFT features form a
pair of images and match them. It then filters the matches based on
RANSAC and produces a mosaic. Read
the code.



vlfeat-0.9.16/docsrc/compiling.html000066400000000000000000000107721203326130700172200ustar00rootroot00000000000000




These instructions explain how to compile VLFeat on your own. This
can be useful to customize or contribute to VLFeat, but it is
otherwise not necessary (use the
binary package instead).





Compiling on Unix



Compiling for UNIX-like platforms (e.g. Mac OS X, Linux) uses the
standard GNU toolchain. It is usually sufficient to change to VLFeat
root directory, denoted VLFEATROOT in the following, and
type make:


$ cd VLFEATROOT
$ make


The make script attempts to automatically detect the host
architecture and configure itself accordingly. If the architecture is
not detected correctly, it can be specified manually. For instance


$ make ARCH=glnx86


compiles for GNU/Linux 32-bit. make help can be used
to obtain a list of other useful options. You can also use make info
to obtain a list of the configuration parameters used by the Makefile,
which might allow you do debug any potential issue.



MATLAB support. In order for MATLAB support to be compiled,
the MATLAB mex script must be in the current path. If it
is not, its location must be passed to make as
follows. First, determine MATLAB's root directory by running a MATLAB
session and issuing the matlabroot
command. Let MATLABROOT denote the returned path
(e.g. /Applications/MATLAB_R2009b.app/). The mex
script is usually located in MALTABROOT/bin/mex. Then run
the compilation with the command


$ make MEX=MATLABROOT/bin/mex


VLFeat must be compiled for the architecture used by MATLAB (run
 MATLAB's computer command to obtain this
 information). On Mac OS X it is often necessary to turn on 64-bit
 support explicitly by setting ARCH=maci64 as both the 32
 and 64 bit versions are plausible targets on 64-bit machines.





Mac OS X 10.6 (Snow Leopard), 64-bit, and MATLAB 2009b.
MATLAB 2009b for Snow Leopard has added 64 bit mex support and a
corresponding extension mexmaci64. VLFeat now supports
compiling for this platform, but the architecture must be specified
manually when compiling, either like:



$ make ARCH=maci64



or



$ make ARCH=maci



Unfortunately, MATLAB 2009b's mex script has a bug that
must be manually fixed in order for this procedure to work
correctly. It is recommend to make backup of the mex
script before attempting this. Th fix the bug, edit the
MATLABROOT/bin/mex script by cutting the line:



get_arch    # Call $MATLAB/bin/util/arch.sh



and pasting it after the processing of options:



...
shift
done

#PASTE get_arch call here
get_arch    # Call $MATLAB/bin/util/arch.sh

if [ $v7_compat -eq 1 ] ; then
fc_flags="$fc_flags -DMX_COMPAT_32"
...





Compiling on Windows



For Windows, the library bundles an NMake makefile
 (Makefile.mak). In order to use it, you must edit
 Makefile.mak to adjust the values of a number of configuration
 variables to match your setup. Once you have done that, start the
 Visual Studio Command Prompt and type



$ nmake /f Makefile.mak # for the Windows 32 target
$ nmake /f Makefile.mak ARCH=win64 # for the Windows 64 target



For Windows platform, it is also possible to compile just the
MATLAB MEX files from within MATLAB (using the vl_compile
command). This is meant to help less experienced users that may need
to recompile the mex file due to binary incompatibilities with older
MATLAB versions.



Windows troubleshooting




 
syntax error: '=' unexpected:

 
Use nmake /f Makefile.mak.
   Without /f, nmake will default to the wrong
   makefile.

 
'long' followed by 'long' is illegal:

 
This error is usually caused by
   attempting to compile outside of the Visual Studio Command Prompt.






vlfeat-0.9.16/docsrc/covdet.html000066400000000000000000000333541203326130700165240ustar00rootroot00000000000000




This tutorial gives an overview of the vl_covdet
VLFeat command implementing a number of co-variant feature detectors
and corresponding descriptors. For example applications, see also
the SIFT tutorial.






Extracting frames and descriptors




The first example shows how to use vl_covdet to
compute and visualise co-variant features. Fist, let us load an
example image and visualize it:



im = vl_impattern('roofs1') ;
figure(1) ; clf ;
image(im) ; axis image off ;




 
 

  
   An example input image.
  
 





The image must be converted to gray=scale and single precision. Then
vl_covdet can be called in order to extract features (by
default this uses the DoG cornerness measure, similarly to SIFT).



imgs = im2single(rgb2gray(im)) ;
frames = vl_covdet(imgs, 'verbose') ;



The verbose option is not necessary, but it produces
some useful information:



vl_covdet: doubling image: yes
vl_covdet: detector: DoG
vl_covdet: peak threshold: 0.01, edge threshold: 10
vl_covdet: detected 3518 features
vl_covdet: kept 3413 inside the boundary margin (2)



The vl_plotframe command can then be used to plot
these features



hold on ;
vl_plotframe(frames) ;



which results in the image




 
 

  
   The default features detected by vl_covdet use the DoG
   cornerness measure (like SIFT).
  
 





In addition to the DoG detector, vl_covdet supports a
number of other ones:



    

  • The Difference of Gaussian operator (also known
as trace of the Hessian operator or Laplacian
operator) uses the local extrema trace of the multiscale Laplacian
operator to detect features in scale and space (as in SIFT).
    • 


  • The Hessian operator uses the local extrema of the
mutli-scale determinant of Hessian operator.
    • 


  • The Hessian Laplace detector uses the extrema of the
multiscale determinant of Hessian operator for localisation in space,
and the extrema of the multiscale Laplacian operator for localisation
in scale.
    • 


  • Harris Laplace uses the multiscale Harris cornerness
measure instead of the determinant of the Hessian for localization in
space, and is otherwise identical to the previous detector..
    • 


  • Hessian Multiscale detects features spatially at multiple
scales by using the multiscale determinant of Hessian operator, but
does not attempt to estimate their scale.
    • 


  • Harris Multiscale is like the previous one, but uses the
multiscale Harris measure instead.
    • 




For example, to use the Hessian-Laplace operator instead of DoG,
use the code:



frames = vl_covdet(imgs, 'method', 'HarrisLaplace') ;



The following figure shows example of the output of these
detectors:




 
 

  
    Different detectors can produce a fairly different set of
    features.
  
 






Understanding feature frames




To understand the rest of the tutorial, it is important to
understand the geometric meaning of a feature frame. Features
computed by vl_covdet are oriented ellipses and
are defined by a translation $T$ and linear map $A$ (a $2\times 2$)
which can be extracted as follows:



 T = frame(1:2) ;
 A = reshape(frame(3:6),2,2)) ;



The map $(A,T)$ moves pixels from the feature frame (also called
normalised patch domain) to the image frame. The feature is
represented as a circle of unit radius centered at the origin in the
feature reference frame, and this is transformed into an image ellipse
by $(A,T)$.



In term of extent, the normalised patch domain is a square box
centered at the origin, whereas the image domain uses the standard
MATLAB convention and starts at (1,1). The Y axis points downward and
the X axis to the right. These notions are important in the
computation of normalised patches and descriptors
(see later).




Affine adaptation




Affine adaptation is the process of estimating the
&ldqo;affine shape&rdqo; of an image region in order to construct an
affinely co-variant feature frame. This is useful in order to
compensate for deformations of the image like slant, arising for
example for small perspective distortion.



To switch on affine adaptation, use
the EstimateAffineShape option:



frames = vl_covdet(imgs, 'EstimateAffineShape', true) ;



which detects the following features:




 
 

  
   Affinely adapted features.
  
 






Feature orientation




The detection methods discussed so far are rotationally
invariant. This means that they detect the same circular or elliptical
regions regardless of an image rotation, but they do not allow to fix
and normalise rotation in the feature frame. Instead, features are
estimated to be upright by default (formally, this means that the
affine transformation $(A,T)$ maps the vertical axis $(0,1)$ to
itself).



Estimating and removing the effect of rotation from a feature frame
is needed in order to compute rotationally invariant descriptors. This
can be obtained by specifying the EstimateOrientation
option:



frames = vl_covdet(imgs, 'EstimateOrientation', true, 'verbose') ;



which results in the following features being detected:




 
 

  
    Features with orientation detection.
  
 





The method used is the same as the one proposed by D. Lowe: the
orientation is given by the dominant gradient direction. Intuitively,
this means that, in the normalized frame, brighter stuff should appear
on the right, or that there should be a left-to-right dark-to-bright
pattern.



In practice, this method may result in an ambiguous detection of
the orientations; in this case, up to four different orientations may
be assigned to the same frame, resulting in a multiplication of
them.




Computing descriptors




vl_covdet can also compute descriptors. Two are
supported so far: SIFT and raw patches (from which any other
descriptor can be computed). To use this functionality simply add an
output argument:



[frames, descrs] = vl_covdet(imgs) ;



This will compute SIFT descriptors for all the features. Each
column of descrs is a 128-dimensional descriptor vector
in single precision. Alternatively, to compute patches use:



[frames, descrs] = vl_covdet(imgs, 'descriptor', 'patch') ;



In this case each column of descrs is a stacked patch.
To visualize the first 100 patches, one can use for example:



w = sqrt(size(patches,1)) ;
vl_imarraysc(reshape(patches(:,1:10*10), w,w,[])) ;




 
 
 

  
    Patches extracted with the standard detectors (left) and adding
    affine adaptation (right).
  
 





There are several parameters affecting the patches associated to
features. First, PatchRelativeExtent can be used to
control how large a patch is relative to the feature scale. The extent
is half of the side of the patch domain, a square in
the frame reference
frame. Since most detectors latch on image structures (e.g. blobs)
that, in the normalised frame reference, have a size comparable to a
circle of radius one, setting PatchRelativeExtent to 6
makes the patch about six times largerer than the size of the corner
structure. This is approximately the default extent of SIFT feature
descriptors.



A second important parameter is PatchRelativeSigma
which expresses the amount of smoothing applied to the image in the
normalised patch frame. By default this is set to 1.0, but can be
reduced to get &ldqo;sharper&rdqo; patches. Of course, the amount of
smoothing is bounded below by the resolution of the input image: a
smoothing of, say, less than half a pixel cannot be recovered due to
the limited sampling rate of the latter. Moreover, the patch must be
sampled finely enough to avoid aliasing (see next).



The last parameter is PatchResolution. If this is
equal to $w$, then the patch has a side of $2w+1$ pixels.  (hence the
sampling step in the normalised frame is given by
PatchRelativeExtent/PatchResolution).
Extracting higher resolution patches may be needed for larger extent
and smaller smoothing. A good setting for this parameter may be
PatchRelativeExtent/PatchRelativeSigma.




Custom frames




Finally, it is possible to use vl_covdet to compute
descriptors on custom feature frames, or to apply affine adaptation
and/or orientation estimation to these.



For example



delta = 30 ;
xr = delta:delta:size(im,2)-delta+1 ;
yr = delta:delta:size(im,1)-delta+1 ;
[x,y] = meshgrid(xr,yr) ;
frames = [x(:)'; y(:)'] ;
frames(end+1,:) = delta/2 ;

[frames, patches] = vl_covdet(imgs, ...
                              'frames', frames, ...
                              'estimateAffineShape', true, ...
                              'estimateOrientation', true) ;



computes affinely adapted and oriented features on a grid:




 
 

   
     Custom frame (on a grid) after affine adaptation.
   
 






Getting the scale spaces




vl_covdet can return additional information about the
features, including the scale spaces and scores for each detected
feature. To do so use the syntax:



[frames, descrs, info] = vl_covdet(imgs) ;



This will return a structure info



info =

                    gss: [1x1 struct]
                    css: [1x1 struct]
             peakScores: [1x351 single]
             edgeScores: [1x351 single]
       orientationScore: [1x351 single]
    laplacianScaleScore: [1x351 single]




\[ test \]




The last four fields are the peak, edge, orientation, and Laplacian
scale scores of the detected features. The first two were discussed
before, and the last two are the scores associated to a specific
orientation during orientation assignment and to a specific scale
during Laplacian scale estimation.



The first two fields are the Gaussian scale space and the
cornerness measure scale space, which can be plotted by means
of vl_plotss. The following is the of the Gaussian scale
space for our example image:




 
 

   
     Gaussian scale space.
   
 





The following is an example of the corresponding cornerness
measure:




 
 

   
     Cornerness scale space (Difference of Gaussians).
   
 






vlfeat-0.9.16/docsrc/doc.html000066400000000000000000000027151203326130700160020ustar00rootroot00000000000000




The VLFeat reference documentation has three parts:




  

    
      

        
MATLAB functions

        
The reference documentation of VLFeat MATLAB commands (this
        is an on-line version of the documentation built in the
        command themsevles).

      

    		
    
      

        
C API
        reference
This documentation
        includes descriptions of all the algorithms and hence
        it is useful even if you do not plan to use the C library
        directly.

      

    		
    
      

      
Man pages

      
The documentation of the command line
      utilities bundled with VLFeat (this is an on-line version
      of the Unix man found in the src/
      subdirectory.

    		
  





In addition to the documentation, there are also 
tutorials which introduce many of the
algorithms contained in the library.



vlfeat-0.9.16/docsrc/download.html000066400000000000000000000051651203326130700170460ustar00rootroot00000000000000




The latest version of VLFeat is %env:VERSION;. To use
VLFeat, simply download and unpack the latest binary package and add
the appropriate paths to your environment (see below for details).










Downloads









Install











&nsbp;



Repository access



VLFeat is under active development. You
can browse our
Git repository or download it by


git clone git://github.com/vlfeat/vlfeat.git


(This will require Git to be
installed). The top of the master branch corresponds to the most
recent version of VLFeat, but it could be unstable.



We welcome contributions to both the documentation and the source
code of VLFeat. You can create patches against our Git repository and
send them to us for inclusion in the next version. There are two ways
to contribute. For minor changes, simply clone our public repository,
as explained above. Once you have made and committed your changes
locally, you can submit them to the project via e-mail using a command
like git format-patch:



git format-patch origin


For major additions, we prefer to handle collaboration through
github. Follow 
their tutorial 
to fork our project
and submit your modifications using a pull request.



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# is documented as struct, union, or enum with the name of the typedef. So
# typedef struct TypeS {} TypeT, will appear in the documentation as a struct
# with name TypeT. When disabled the typedef will appear as a member of a file,
# namespace, or class. And the struct will be named TypeS. This can typically
# be useful for C code in case the coding convention dictates that all compound
# types are typedef'ed and only the typedef is referenced, never the tag name.

TYPEDEF_HIDES_STRUCT   = YES

# The SYMBOL_CACHE_SIZE determines the size of the internal cache use to
# determine which symbols to keep in memory and which to flush to disk.
# When the cache is full, less often used symbols will be written to disk.
# For small to medium size projects (<1000 input files) the default value is
# probably good enough. For larger projects a too small cache size can cause
# doxygen to be busy swapping symbols to and from disk most of the time
# causing a significant performance penalty.
# If the system has enough physical memory increasing the cache will improve the
# performance by keeping more symbols in memory. Note that the value works on
# a logarithmic scale so increasing the size by one will roughly double the
# memory usage. The cache size is given by this formula:
# 2^(16+SYMBOL_CACHE_SIZE). The valid range is 0..9, the default is 0,
# corresponding to a cache size of 2^16 = 65536 symbols.

SYMBOL_CACHE_SIZE      = 0

# Similar to the SYMBOL_CACHE_SIZE the size of the symbol lookup cache can be
# set using LOOKUP_CACHE_SIZE. This cache is used to resolve symbols given
# their name and scope. Since this can be an expensive process and often the
# same symbol appear multiple times in the code, doxygen keeps a cache of
# pre-resolved symbols. If the cache is too small doxygen will become slower.
# If the cache is too large, memory is wasted. The cache size is given by this
# formula: 2^(16+LOOKUP_CACHE_SIZE). The valid range is 0..9, the default is 0,
# corresponding to a cache size of 2^16 = 65536 symbols.

LOOKUP_CACHE_SIZE      = 0

#---------------------------------------------------------------------------
# Build related configuration options
#---------------------------------------------------------------------------

# If the EXTRACT_ALL tag is set to YES doxygen will assume all entities in
# documentation are documented, even if no documentation was available.
# Private class members and static file members will be hidden unless
# the EXTRACT_PRIVATE and EXTRACT_STATIC tags are set to YES

EXTRACT_ALL            = NO

# If the EXTRACT_PRIVATE tag is set to YES all private members of a class
# will be included in the documentation.

EXTRACT_PRIVATE        = YES

# If the EXTRACT_PACKAGE tag is set to YES all members with package or internal scope will be included in the documentation.

EXTRACT_PACKAGE        = NO

# If the EXTRACT_STATIC tag is set to YES all static members of a file
# will be included in the documentation.

EXTRACT_STATIC         = YES

# If the EXTRACT_LOCAL_CLASSES tag is set to YES classes (and structs)
# defined locally in source files will be included in the documentation.
# If set to NO only classes defined in header files are included.

EXTRACT_LOCAL_CLASSES  = YES

# This flag is only useful for Objective-C code. When set to YES local
# methods, which are defined in the implementation section but not in
# the interface are included in the documentation.
# If set to NO (the default) only methods in the interface are included.

EXTRACT_LOCAL_METHODS  = NO

# If this flag is set to YES, the members of anonymous namespaces will be
# extracted and appear in the documentation as a namespace called
# 'anonymous_namespace{file}', where file will be replaced with the base
# name of the file that contains the anonymous namespace. By default
# anonymous namespaces are hidden.

EXTRACT_ANON_NSPACES   = NO

# If the HIDE_UNDOC_MEMBERS tag is set to YES, Doxygen will hide all
# undocumented members of documented classes, files or namespaces.
# If set to NO (the default) these members will be included in the
# various overviews, but no documentation section is generated.
# This option has no effect if EXTRACT_ALL is enabled.

HIDE_UNDOC_MEMBERS     = YES

# If the HIDE_UNDOC_CLASSES tag is set to YES, Doxygen will hide all
# undocumented classes that are normally visible in the class hierarchy.
# If set to NO (the default) these classes will be included in the various
# overviews. This option has no effect if EXTRACT_ALL is enabled.

HIDE_UNDOC_CLASSES     = YES

# If the HIDE_FRIEND_COMPOUNDS tag is set to YES, Doxygen will hide all
# friend (class|struct|union) declarations.
# If set to NO (the default) these declarations will be included in the
# documentation.

HIDE_FRIEND_COMPOUNDS  = NO

# If the HIDE_IN_BODY_DOCS tag is set to YES, Doxygen will hide any
# documentation blocks found inside the body of a function.
# If set to NO (the default) these blocks will be appended to the
# function's detailed documentation block.

HIDE_IN_BODY_DOCS      = NO

# The INTERNAL_DOCS tag determines if documentation
# that is typed after a \internal command is included. If the tag is set
# to NO (the default) then the documentation will be excluded.
# Set it to YES to include the internal documentation.

INTERNAL_DOCS          = YES

# If the CASE_SENSE_NAMES tag is set to NO then Doxygen will only generate
# file names in lower-case letters. If set to YES upper-case letters are also
# allowed. This is useful if you have classes or files whose names only differ
# in case and if your file system supports case sensitive file names. Windows
# and Mac users are advised to set this option to NO.

CASE_SENSE_NAMES       = YES

# If the HIDE_SCOPE_NAMES tag is set to NO (the default) then Doxygen
# will show members with their full class and namespace scopes in the
# documentation. If set to YES the scope will be hidden.

HIDE_SCOPE_NAMES       = NO

# If the SHOW_INCLUDE_FILES tag is set to YES (the default) then Doxygen
# will put a list of the files that are included by a file in the documentation
# of that file.

SHOW_INCLUDE_FILES     = YES

# If the FORCE_LOCAL_INCLUDES tag is set to YES then Doxygen
# will list include files with double quotes in the documentation
# rather than with sharp brackets.

FORCE_LOCAL_INCLUDES   = NO

# If the INLINE_INFO tag is set to YES (the default) then a tag [inline]
# is inserted in the documentation for inline members.

INLINE_INFO            = YES

# If the SORT_MEMBER_DOCS tag is set to YES (the default) then doxygen
# will sort the (detailed) documentation of file and class members
# alphabetically by member name. If set to NO the members will appear in
# declaration order.

SORT_MEMBER_DOCS       = YES

# If the SORT_BRIEF_DOCS tag is set to YES then doxygen will sort the
# brief documentation of file, namespace and class members alphabetically
# by member name. If set to NO (the default) the members will appear in
# declaration order.

SORT_BRIEF_DOCS        = NO

# If the SORT_MEMBERS_CTORS_1ST tag is set to YES then doxygen
# will sort the (brief and detailed) documentation of class members so that
# constructors and destructors are listed first. If set to NO (the default)
# the constructors will appear in the respective orders defined by
# SORT_MEMBER_DOCS and SORT_BRIEF_DOCS.
# This tag will be ignored for brief docs if SORT_BRIEF_DOCS is set to NO
# and ignored for detailed docs if SORT_MEMBER_DOCS is set to NO.

SORT_MEMBERS_CTORS_1ST = NO

# If the SORT_GROUP_NAMES tag is set to YES then doxygen will sort the
# hierarchy of group names into alphabetical order. If set to NO (the default)
# the group names will appear in their defined order.

SORT_GROUP_NAMES       = NO

# If the SORT_BY_SCOPE_NAME tag is set to YES, the class list will be
# sorted by fully-qualified names, including namespaces. If set to
# NO (the default), the class list will be sorted only by class name,
# not including the namespace part.
# Note: This option is not very useful if HIDE_SCOPE_NAMES is set to YES.
# Note: This option applies only to the class list, not to the
# alphabetical list.

SORT_BY_SCOPE_NAME     = NO

# If the STRICT_PROTO_MATCHING option is enabled and doxygen fails to
# do proper type resolution of all parameters of a function it will reject a
# match between the prototype and the implementation of a member function even
# if there is only one candidate or it is obvious which candidate to choose
# by doing a simple string match. By disabling STRICT_PROTO_MATCHING doxygen
# will still accept a match between prototype and implementation in such cases.

STRICT_PROTO_MATCHING  = NO

# The GENERATE_TODOLIST tag can be used to enable (YES) or
# disable (NO) the todo list. This list is created by putting \todo
# commands in the documentation.

GENERATE_TODOLIST      = YES

# The GENERATE_TESTLIST tag can be used to enable (YES) or
# disable (NO) the test list. This list is created by putting \test
# commands in the documentation.

GENERATE_TESTLIST      = YES

# The GENERATE_BUGLIST tag can be used to enable (YES) or
# disable (NO) the bug list. This list is created by putting \bug
# commands in the documentation.

GENERATE_BUGLIST       = YES

# The GENERATE_DEPRECATEDLIST tag can be used to enable (YES) or
# disable (NO) the deprecated list. This list is created by putting
# \deprecated commands in the documentation.

GENERATE_DEPRECATEDLIST= YES

# The ENABLED_SECTIONS tag can be used to enable conditional
# documentation sections, marked by \if sectionname ... \endif.

ENABLED_SECTIONS       =

# The MAX_INITIALIZER_LINES tag determines the maximum number of lines
# the initial value of a variable or macro consists of for it to appear in
# the documentation. If the initializer consists of more lines than specified
# here it will be hidden. Use a value of 0 to hide initializers completely.
# The appearance of the initializer of individual variables and macros in the
# documentation can be controlled using \showinitializer or \hideinitializer
# command in the documentation regardless of this setting.

MAX_INITIALIZER_LINES  = 30

# Set the SHOW_USED_FILES tag to NO to disable the list of files generated
# at the bottom of the documentation of classes and structs. If set to YES the
# list will mention the files that were used to generate the documentation.

SHOW_USED_FILES        = YES

# Set the SHOW_FILES tag to NO to disable the generation of the Files page.
# This will remove the Files entry from the Quick Index and from the
# Folder Tree View (if specified). The default is YES.

SHOW_FILES             = YES

# Set the SHOW_NAMESPACES tag to NO to disable the generation of the
# Namespaces page.
# This will remove the Namespaces entry from the Quick Index
# and from the Folder Tree View (if specified). The default is YES.

SHOW_NAMESPACES        = YES

# The FILE_VERSION_FILTER tag can be used to specify a program or script that
# doxygen should invoke to get the current version for each file (typically from
# the version control system). Doxygen will invoke the program by executing (via
# popen()) the command  , where  is the value of
# the FILE_VERSION_FILTER tag, and  is the name of an input file
# provided by doxygen. Whatever the program writes to standard output
# is used as the file version. See the manual for examples.

FILE_VERSION_FILTER    =

# The LAYOUT_FILE tag can be used to specify a layout file which will be parsed
# by doxygen. The layout file controls the global structure of the generated
# output files in an output format independent way. To create the layout file
# that represents doxygen's defaults, run doxygen with the -l option.
# You can optionally specify a file name after the option, if omitted
# DoxygenLayout.xml will be used as the name of the layout file.

LAYOUT_FILE            =

# The CITE_BIB_FILES tag can be used to specify one or more bib files
# containing the references data. This must be a list of .bib files. The
# .bib extension is automatically appended if omitted. Using this command
# requires the bibtex tool to be installed. See also
# http://en.wikipedia.org/wiki/BibTeX for more info. For LaTeX the style
# of the bibliography can be controlled using LATEX_BIB_STYLE. To use this
# feature you need bibtex and perl available in the search path.

CITE_BIB_FILES         = vlfeat.bib

#---------------------------------------------------------------------------
# configuration options related to warning and progress messages
#---------------------------------------------------------------------------

# The QUIET tag can be used to turn on/off the messages that are generated
# by doxygen. Possible values are YES and NO. If left blank NO is used.

QUIET                  = NO

# The WARNINGS tag can be used to turn on/off the warning messages that are
# generated by doxygen. Possible values are YES and NO. If left blank
# NO is used.

WARNINGS               = YES

# If WARN_IF_UNDOCUMENTED is set to YES, then doxygen will generate warnings
# for undocumented members. If EXTRACT_ALL is set to YES then this flag will
# automatically be disabled.

WARN_IF_UNDOCUMENTED   = YES

# If WARN_IF_DOC_ERROR is set to YES, doxygen will generate warnings for
# potential errors in the documentation, such as not documenting some
# parameters in a documented function, or documenting parameters that
# don't exist or using markup commands wrongly.

WARN_IF_DOC_ERROR      = YES

# The WARN_NO_PARAMDOC option can be enabled to get warnings for
# functions that are documented, but have no documentation for their parameters
# or return value. If set to NO (the default) doxygen will only warn about
# wrong or incomplete parameter documentation, but not about the absence of
# documentation.

WARN_NO_PARAMDOC       = NO

# The WARN_FORMAT tag determines the format of the warning messages that
# doxygen can produce. The string should contain the $file, $line, and $text
# tags, which will be replaced by the file and line number from which the
# warning originated and the warning text. Optionally the format may contain
# $version, which will be replaced by the version of the file (if it could
# be obtained via FILE_VERSION_FILTER)

WARN_FORMAT            = "$file:$line: $text"

# The WARN_LOGFILE tag can be used to specify a file to which warning
# and error messages should be written. If left blank the output is written
# to stderr.

WARN_LOGFILE           =

#---------------------------------------------------------------------------
# configuration options related to the input files
#---------------------------------------------------------------------------

# The INPUT tag can be used to specify the files and/or directories that contain
# documented source files. You may enter file names like "myfile.cpp" or
# directories like "/usr/src/myproject". Separate the files or directories
# with spaces.

INPUT                  = vl \
                         toolbox/mexutils.h \
                         src/generic-driver.h

# This tag can be used to specify the character encoding of the source files
# that doxygen parses. Internally doxygen uses the UTF-8 encoding, which is
# also the default input encoding. Doxygen uses libiconv (or the iconv built
# into libc) for the transcoding. See http://www.gnu.org/software/libiconv for
# the list of possible encodings.

INPUT_ENCODING         = UTF-8

# If the value of the INPUT tag contains directories, you can use the
# FILE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp
# and *.h) to filter out the source-files in the directories. If left
# blank the following patterns are tested:
# *.c *.cc *.cxx *.cpp *.c++ *.d *.java *.ii *.ixx *.ipp *.i++ *.inl *.h *.hh
# *.hxx *.hpp *.h++ *.idl *.odl *.cs *.php *.php3 *.inc *.m *.mm *.dox *.py
# *.f90 *.f *.for *.vhd *.vhdl

FILE_PATTERNS          = *.h \
                         *.c \
                         *.tc

# The RECURSIVE tag can be used to turn specify whether or not subdirectories
# should be searched for input files as well. Possible values are YES and NO.
# If left blank NO is used.

RECURSIVE              = NO

# The EXCLUDE tag can be used to specify files and/or directories that should be
# excluded from the INPUT source files. This way you can easily exclude a
# subdirectory from a directory tree whose root is specified with the INPUT tag.
# Note that relative paths are relative to the directory from which doxygen is
# run.

EXCLUDE                =

# The EXCLUDE_SYMLINKS tag can be used to select whether or not files or
# directories that are symbolic links (a Unix file system feature) are excluded
# from the input.

EXCLUDE_SYMLINKS       = NO

# If the value of the INPUT tag contains directories, you can use the
# EXCLUDE_PATTERNS tag to specify one or more wildcard patterns to exclude
# certain files from those directories. Note that the wildcards are matched
# against the file with absolute path, so to exclude all test directories
# for example use the pattern */test/*

EXCLUDE_PATTERNS       = test_*

# The EXCLUDE_SYMBOLS tag can be used to specify one or more symbol names
# (namespaces, classes, functions, etc.) that should be excluded from the
# output. The symbol name can be a fully qualified name, a word, or if the
# wildcard * is used, a substring. Examples: ANamespace, AClass,
# AClass::ANamespace, ANamespace::*Test

EXCLUDE_SYMBOLS        =

# The EXAMPLE_PATH tag can be used to specify one or more files or
# directories that contain example code fragments that are included (see
# the \include command).

EXAMPLE_PATH           = vl/doc

# If the value of the EXAMPLE_PATH tag contains directories, you can use the
# EXAMPLE_PATTERNS tag to specify one or more wildcard pattern (like *.cpp
# and *.h) to filter out the source-files in the directories. If left
# blank all files are included.

EXAMPLE_PATTERNS       =

# If the EXAMPLE_RECURSIVE tag is set to YES then subdirectories will be
# searched for input files to be used with the \include or \dontinclude
# commands irrespective of the value of the RECURSIVE tag.
# Possible values are YES and NO. If left blank NO is used.

EXAMPLE_RECURSIVE      = NO

# The IMAGE_PATH tag can be used to specify one or more files or
# directories that contain image that are included in the documentation (see
# the \image command).

IMAGE_PATH             = doc/figures

# The INPUT_FILTER tag can be used to specify a program that doxygen should
# invoke to filter for each input file. Doxygen will invoke the filter program
# by executing (via popen()) the command  , where 
# is the value of the INPUT_FILTER tag, and  is the name of an
# input file. Doxygen will then use the output that the filter program writes
# to standard output.
# If FILTER_PATTERNS is specified, this tag will be
# ignored.

INPUT_FILTER           = "sed -e 's/\/\*\* -----------* *$/\/** /g' -e \"s/__VLFEAT_VERSION__/$(cat VERSION)/g\" -e \"s/@cite{\([a-zA-Z0-9-]*\)}/@cite \1 /g\""

# The FILTER_PATTERNS tag can be used to specify filters on a per file pattern
# basis.
# Doxygen will compare the file name with each pattern and apply the
# filter if there is a match.
# The filters are a list of the form:
# pattern=filter (like *.cpp=my_cpp_filter). See INPUT_FILTER for further
# info on how filters are used. If FILTER_PATTERNS is empty or if
# non of the patterns match the file name, INPUT_FILTER is applied.

FILTER_PATTERNS        =

# If the FILTER_SOURCE_FILES tag is set to YES, the input filter (if set using
# INPUT_FILTER) will be used to filter the input files when producing source
# files to browse (i.e. when SOURCE_BROWSER is set to YES).

FILTER_SOURCE_FILES    = NO

# The FILTER_SOURCE_PATTERNS tag can be used to specify source filters per file
# pattern. A pattern will override the setting for FILTER_PATTERN (if any)
# and it is also possible to disable source filtering for a specific pattern
# using *.ext= (so without naming a filter). This option only has effect when
# FILTER_SOURCE_FILES is enabled.

FILTER_SOURCE_PATTERNS =

#---------------------------------------------------------------------------
# configuration options related to source browsing
#---------------------------------------------------------------------------

# If the SOURCE_BROWSER tag is set to YES then a list of source files will
# be generated. Documented entities will be cross-referenced with these sources.
# Note: To get rid of all source code in the generated output, make sure also
# VERBATIM_HEADERS is set to NO.

SOURCE_BROWSER         = NO

# Setting the INLINE_SOURCES tag to YES will include the body
# of functions and classes directly in the documentation.

INLINE_SOURCES         = NO

# Setting the STRIP_CODE_COMMENTS tag to YES (the default) will instruct
# doxygen to hide any special comment blocks from generated source code
# fragments. Normal C, C++ and Fortran comments will always remain visible.

STRIP_CODE_COMMENTS    = YES

# If the REFERENCED_BY_RELATION tag is set to YES
# then for each documented function all documented
# functions referencing it will be listed.

REFERENCED_BY_RELATION = NO

# If the REFERENCES_RELATION tag is set to YES
# then for each documented function all documented entities
# called/used by that function will be listed.

REFERENCES_RELATION    = NO

# If the REFERENCES_LINK_SOURCE tag is set to YES (the default)
# and SOURCE_BROWSER tag is set to YES, then the hyperlinks from
# functions in REFERENCES_RELATION and REFERENCED_BY_RELATION lists will
# link to the source code.
# Otherwise they will link to the documentation.

REFERENCES_LINK_SOURCE = NO

# If the USE_HTAGS tag is set to YES then the references to source code
# will point to the HTML generated by the htags(1) tool instead of doxygen
# built-in source browser. The htags tool is part of GNU's global source
# tagging system (see http://www.gnu.org/software/global/global.html). You
# will need version 4.8.6 or higher.

USE_HTAGS              = NO

# If the VERBATIM_HEADERS tag is set to YES (the default) then Doxygen
# will generate a verbatim copy of the header file for each class for
# which an include is specified. Set to NO to disable this.

VERBATIM_HEADERS       = NO

#---------------------------------------------------------------------------
# configuration options related to the alphabetical class index
#---------------------------------------------------------------------------

# If the ALPHABETICAL_INDEX tag is set to YES, an alphabetical index
# of all compounds will be generated. Enable this if the project
# contains a lot of classes, structs, unions or interfaces.

ALPHABETICAL_INDEX     = YES

# If the alphabetical index is enabled (see ALPHABETICAL_INDEX) then
# the COLS_IN_ALPHA_INDEX tag can be used to specify the number of columns
# in which this list will be split (can be a number in the range [1..20])

COLS_IN_ALPHA_INDEX    = 5

# In case all classes in a project start with a common prefix, all
# classes will be put under the same header in the alphabetical index.
# The IGNORE_PREFIX tag can be used to specify one or more prefixes that
# should be ignored while generating the index headers.

IGNORE_PREFIX          =

#---------------------------------------------------------------------------
# configuration options related to the HTML output
#---------------------------------------------------------------------------

# If the GENERATE_HTML tag is set to YES (the default) Doxygen will
# generate HTML output.

GENERATE_HTML          = YES

# The HTML_OUTPUT tag is used to specify where the HTML docs will be put.
# If a relative path is entered the value of OUTPUT_DIRECTORY will be
# put in front of it. If left blank `html' will be used as the default path.

HTML_OUTPUT            = api

# The HTML_FILE_EXTENSION tag can be used to specify the file extension for
# each generated HTML page (for example: .htm,.php,.asp). If it is left blank
# doxygen will generate files with .html extension.

HTML_FILE_EXTENSION    = .html

# The HTML_HEADER tag can be used to specify a personal HTML header for
# each generated HTML page. If it is left blank doxygen will generate a
# standard header. Note that when using a custom header you are responsible
#  for the proper inclusion of any scripts and style sheets that doxygen
# needs, which is dependent on the configuration options used.
# It is advised to generate a default header using "doxygen -w html
# header.html footer.html stylesheet.css YourConfigFile" and then modify
# that header. Note that the header is subject to change so you typically
# have to redo this when upgrading to a newer version of doxygen or when
# changing the value of configuration settings such as GENERATE_TREEVIEW!

HTML_HEADER            = doc/doxygen_header.html

# The HTML_FOOTER tag can be used to specify a personal HTML footer for
# each generated HTML page. If it is left blank doxygen will generate a
# standard footer.

HTML_FOOTER            = doc/doxygen_footer.html

# The HTML_STYLESHEET tag can be used to specify a user-defined cascading
# style sheet that is used by each HTML page. It can be used to
# fine-tune the look of the HTML output. If the tag is left blank doxygen
# will generate a default style sheet. Note that doxygen will try to copy
# the style sheet file to the HTML output directory, so don't put your own
# style sheet in the HTML output directory as well, or it will be erased!

HTML_STYLESHEET        =

# The HTML_EXTRA_FILES tag can be used to specify one or more extra images or
# other source files which should be copied to the HTML output directory. Note
# that these files will be copied to the base HTML output directory. Use the
# $relpath$ marker in the HTML_HEADER and/or HTML_FOOTER files to load these
# files. In the HTML_STYLESHEET file, use the file name only. Also note that
# the files will be copied as-is; there are no commands or markers available.

HTML_EXTRA_FILES       =

# The HTML_COLORSTYLE_HUE tag controls the color of the HTML output.
# Doxygen will adjust the colors in the style sheet and background images
# according to this color. Hue is specified as an angle on a colorwheel,
# see http://en.wikipedia.org/wiki/Hue for more information.
# For instance the value 0 represents red, 60 is yellow, 120 is green,
# 180 is cyan, 240 is blue, 300 purple, and 360 is red again.
# The allowed range is 0 to 359.

HTML_COLORSTYLE_HUE    = 220

# The HTML_COLORSTYLE_SAT tag controls the purity (or saturation) of
# the colors in the HTML output. For a value of 0 the output will use
# grayscales only. A value of 255 will produce the most vivid colors.

HTML_COLORSTYLE_SAT    = 100

# The HTML_COLORSTYLE_GAMMA tag controls the gamma correction applied to
# the luminance component of the colors in the HTML output. Values below
# 100 gradually make the output lighter, whereas values above 100 make
# the output darker. The value divided by 100 is the actual gamma applied,
# so 80 represents a gamma of 0.8, The value 220 represents a gamma of 2.2,
# and 100 does not change the gamma.

HTML_COLORSTYLE_GAMMA  = 80

# If the HTML_TIMESTAMP tag is set to YES then the footer of each generated HTML
# page will contain the date and time when the page was generated. Setting
# this to NO can help when comparing the output of multiple runs.

HTML_TIMESTAMP         = YES

# If the HTML_DYNAMIC_SECTIONS tag is set to YES then the generated HTML
# documentation will contain sections that can be hidden and shown after the
# page has loaded.

HTML_DYNAMIC_SECTIONS  = NO

# With HTML_INDEX_NUM_ENTRIES one can control the preferred number of
# entries shown in the various tree structured indices initially; the user
# can expand and collapse entries dynamically later on. Doxygen will expand
# the tree to such a level that at most the specified number of entries are
# visible (unless a fully collapsed tree already exceeds this amount).
# So setting the number of entries 1 will produce a full collapsed tree by
# default. 0 is a special value representing an infinite number of entries
# and will result in a full expanded tree by default.

HTML_INDEX_NUM_ENTRIES = 100

# If the GENERATE_DOCSET tag is set to YES, additional index files
# will be generated that can be used as input for Apple's Xcode 3
# integrated development environment, introduced with OSX 10.5 (Leopard).
# To create a documentation set, doxygen will generate a Makefile in the
# HTML output directory. Running make will produce the docset in that
# directory and running "make install" will install the docset in
# ~/Library/Developer/Shared/Documentation/DocSets so that Xcode will find
# it at startup.
# See http://developer.apple.com/tools/creatingdocsetswithdoxygen.html
# for more information.

GENERATE_DOCSET        = NO

# When GENERATE_DOCSET tag is set to YES, this tag determines the name of the
# feed. A documentation feed provides an umbrella under which multiple
# documentation sets from a single provider (such as a company or product suite)
# can be grouped.

DOCSET_FEEDNAME        = "Doxygen generated docs"

# When GENERATE_DOCSET tag is set to YES, this tag specifies a string that
# should uniquely identify the documentation set bundle. This should be a
# reverse domain-name style string, e.g. com.mycompany.MyDocSet. Doxygen
# will append .docset to the name.

DOCSET_BUNDLE_ID       = org.doxygen.Project

# When GENERATE_PUBLISHER_ID tag specifies a string that should uniquely identify
# the documentation publisher. This should be a reverse domain-name style
# string, e.g. com.mycompany.MyDocSet.documentation.

DOCSET_PUBLISHER_ID    = org.doxygen.Publisher

# The GENERATE_PUBLISHER_NAME tag identifies the documentation publisher.

DOCSET_PUBLISHER_NAME  = Publisher

# If the GENERATE_HTMLHELP tag is set to YES, additional index files
# will be generated that can be used as input for tools like the
# Microsoft HTML help workshop to generate a compiled HTML help file (.chm)
# of the generated HTML documentation.

GENERATE_HTMLHELP      = NO

# If the GENERATE_HTMLHELP tag is set to YES, the CHM_FILE tag can
# be used to specify the file name of the resulting .chm file. You
# can add a path in front of the file if the result should not be
# written to the html output directory.

CHM_FILE               =

# If the GENERATE_HTMLHELP tag is set to YES, the HHC_LOCATION tag can
# be used to specify the location (absolute path including file name) of
# the HTML help compiler (hhc.exe). If non-empty doxygen will try to run
# the HTML help compiler on the generated index.hhp.

HHC_LOCATION           =

# If the GENERATE_HTMLHELP tag is set to YES, the GENERATE_CHI flag
# controls if a separate .chi index file is generated (YES) or that
# it should be included in the master .chm file (NO).

GENERATE_CHI           = NO

# If the GENERATE_HTMLHELP tag is set to YES, the CHM_INDEX_ENCODING
# is used to encode HtmlHelp index (hhk), content (hhc) and project file
# content.

CHM_INDEX_ENCODING     =

# If the GENERATE_HTMLHELP tag is set to YES, the BINARY_TOC flag
# controls whether a binary table of contents is generated (YES) or a
# normal table of contents (NO) in the .chm file.

BINARY_TOC             = NO

# The TOC_EXPAND flag can be set to YES to add extra items for group members
# to the contents of the HTML help documentation and to the tree view.

TOC_EXPAND             = NO

# If the GENERATE_QHP tag is set to YES and both QHP_NAMESPACE and
# QHP_VIRTUAL_FOLDER are set, an additional index file will be generated
# that can be used as input for Qt's qhelpgenerator to generate a
# Qt Compressed Help (.qch) of the generated HTML documentation.

GENERATE_QHP           = NO

# If the QHG_LOCATION tag is specified, the QCH_FILE tag can
# be used to specify the file name of the resulting .qch file.
# The path specified is relative to the HTML output folder.

QCH_FILE               =

# The QHP_NAMESPACE tag specifies the namespace to use when generating
# Qt Help Project output. For more information please see
# http://doc.trolltech.com/qthelpproject.html#namespace

QHP_NAMESPACE          = org.doxygen.Project

# The QHP_VIRTUAL_FOLDER tag specifies the namespace to use when generating
# Qt Help Project output. For more information please see
# http://doc.trolltech.com/qthelpproject.html#virtual-folders

QHP_VIRTUAL_FOLDER     = doc

# If QHP_CUST_FILTER_NAME is set, it specifies the name of a custom filter to
# add. For more information please see
# http://doc.trolltech.com/qthelpproject.html#custom-filters

QHP_CUST_FILTER_NAME   =

# The QHP_CUST_FILT_ATTRS tag specifies the list of the attributes of the
# custom filter to add. For more information please see
# 
# Qt Help Project / Custom Filters.

QHP_CUST_FILTER_ATTRS  =

# The QHP_SECT_FILTER_ATTRS tag specifies the list of the attributes this
# project's
# filter section matches.
# 
# Qt Help Project / Filter Attributes.

QHP_SECT_FILTER_ATTRS  =

# If the GENERATE_QHP tag is set to YES, the QHG_LOCATION tag can
# be used to specify the location of Qt's qhelpgenerator.
# If non-empty doxygen will try to run qhelpgenerator on the generated
# .qhp file.

QHG_LOCATION           =

# If the GENERATE_ECLIPSEHELP tag is set to YES, additional index files
#  will be generated, which together with the HTML files, form an Eclipse help
# plugin. To install this plugin and make it available under the help contents
# menu in Eclipse, the contents of the directory containing the HTML and XML
# files needs to be copied into the plugins directory of eclipse. The name of
# the directory within the plugins directory should be the same as
# the ECLIPSE_DOC_ID value. After copying Eclipse needs to be restarted before
# the help appears.

GENERATE_ECLIPSEHELP   = NO

# A unique identifier for the eclipse help plugin. When installing the plugin
# the directory name containing the HTML and XML files should also have
# this name.

ECLIPSE_DOC_ID         = org.doxygen.Project

# The DISABLE_INDEX tag can be used to turn on/off the condensed index (tabs)
# at top of each HTML page. The value NO (the default) enables the index and
# the value YES disables it. Since the tabs have the same information as the
# navigation tree you can set this option to NO if you already set
# GENERATE_TREEVIEW to YES.

DISABLE_INDEX          = NO

# The GENERATE_TREEVIEW tag is used to specify whether a tree-like index
# structure should be generated to display hierarchical information.
# If the tag value is set to YES, a side panel will be generated
# containing a tree-like index structure (just like the one that
# is generated for HTML Help). For this to work a browser that supports
# JavaScript, DHTML, CSS and frames is required (i.e. any modern browser).
# Windows users are probably better off using the HTML help feature.
# Since the tree basically has the same information as the tab index you
# could consider to set DISABLE_INDEX to NO when enabling this option.

GENERATE_TREEVIEW      = NONE

# The ENUM_VALUES_PER_LINE tag can be used to set the number of enum values
# (range [0,1..20]) that doxygen will group on one line in the generated HTML
# documentation. Note that a value of 0 will completely suppress the enum
# values from appearing in the overview section.

ENUM_VALUES_PER_LINE   = 4

# If the treeview is enabled (see GENERATE_TREEVIEW) then this tag can be
# used to set the initial width (in pixels) of the frame in which the tree
# is shown.

TREEVIEW_WIDTH         = 250

# When the EXT_LINKS_IN_WINDOW option is set to YES doxygen will open
# links to external symbols imported via tag files in a separate window.

EXT_LINKS_IN_WINDOW    = NO

# Use this tag to change the font size of Latex formulas included
# as images in the HTML documentation. The default is 10. Note that
# when you change the font size after a successful doxygen run you need
# to manually remove any form_*.png images from the HTML output directory
# to force them to be regenerated.

FORMULA_FONTSIZE       = 13

# Use the FORMULA_TRANPARENT tag to determine whether or not the images
# generated for formulas are transparent PNGs. Transparent PNGs are
# not supported properly for IE 6.0, but are supported on all modern browsers.
# Note that when changing this option you need to delete any form_*.png files
# in the HTML output before the changes have effect.

FORMULA_TRANSPARENT    = YES

# Enable the USE_MATHJAX option to render LaTeX formulas using MathJax
# (see http://www.mathjax.org) which uses client side Javascript for the
# rendering instead of using prerendered bitmaps. Use this if you do not
# have LaTeX installed or if you want to formulas look prettier in the HTML
# output. When enabled you may also need to install MathJax separately and
# configure the path to it using the MATHJAX_RELPATH option.

USE_MATHJAX            = NO

# When MathJax is enabled you need to specify the location relative to the
# HTML output directory using the MATHJAX_RELPATH option. The destination
# directory should contain the MathJax.js script. For instance, if the mathjax
# directory is located at the same level as the HTML output directory, then
# MATHJAX_RELPATH should be ../mathjax. The default value points to
# the MathJax Content Delivery Network so you can quickly see the result without
# installing MathJax.
# However, it is strongly recommended to install a local
# copy of MathJax from http://www.mathjax.org before deployment.

MATHJAX_RELPATH        = http://www.mathjax.org/mathjax

# The MATHJAX_EXTENSIONS tag can be used to specify one or MathJax extension
# names that should be enabled during MathJax rendering.

MATHJAX_EXTENSIONS     =

# When the SEARCHENGINE tag is enabled doxygen will generate a search box
# for the HTML output. The underlying search engine uses javascript
# and DHTML and should work on any modern browser. Note that when using
# HTML help (GENERATE_HTMLHELP), Qt help (GENERATE_QHP), or docsets
# (GENERATE_DOCSET) there is already a search function so this one should
# typically be disabled. For large projects the javascript based search engine
# can be slow, then enabling SERVER_BASED_SEARCH may provide a better solution.

SEARCHENGINE           = NO

# When the SERVER_BASED_SEARCH tag is enabled the search engine will be
# implemented using a PHP enabled web server instead of at the web client
# using Javascript. Doxygen will generate the search PHP script and index
# file to put on the web server. The advantage of the server
# based approach is that it scales better to large projects and allows
# full text search. The disadvantages are that it is more difficult to setup
# and does not have live searching capabilities.

SERVER_BASED_SEARCH    = NO

#---------------------------------------------------------------------------
# configuration options related to the LaTeX output
#---------------------------------------------------------------------------

# If the GENERATE_LATEX tag is set to YES (the default) Doxygen will
# generate Latex output.

GENERATE_LATEX         = NO

# The LATEX_OUTPUT tag is used to specify where the LaTeX docs will be put.
# If a relative path is entered the value of OUTPUT_DIRECTORY will be
# put in front of it. If left blank `latex' will be used as the default path.

LATEX_OUTPUT           = latex

# The LATEX_CMD_NAME tag can be used to specify the LaTeX command name to be
# invoked. If left blank `latex' will be used as the default command name.
# Note that when enabling USE_PDFLATEX this option is only used for
# generating bitmaps for formulas in the HTML output, but not in the
# Makefile that is written to the output directory.

LATEX_CMD_NAME         = latex

# The MAKEINDEX_CMD_NAME tag can be used to specify the command name to
# generate index for LaTeX. If left blank `makeindex' will be used as the
# default command name.

MAKEINDEX_CMD_NAME     = makeindex

# If the COMPACT_LATEX tag is set to YES Doxygen generates more compact
# LaTeX documents. This may be useful for small projects and may help to
# save some trees in general.

COMPACT_LATEX          = YES

# The PAPER_TYPE tag can be used to set the paper type that is used
# by the printer. Possible values are: a4, letter, legal and
# executive. If left blank a4wide will be used.

PAPER_TYPE             = letter

# The EXTRA_PACKAGES tag can be to specify one or more names of LaTeX
# packages that should be included in the LaTeX output.

EXTRA_PACKAGES         = amsmath \
                         amsfonts \
                         amssymb

# The LATEX_HEADER tag can be used to specify a personal LaTeX header for
# the generated latex document. The header should contain everything until
# the first chapter. If it is left blank doxygen will generate a
# standard header. Notice: only use this tag if you know what you are doing!

LATEX_HEADER           =

# The LATEX_FOOTER tag can be used to specify a personal LaTeX footer for
# the generated latex document. The footer should contain everything after
# the last chapter. If it is left blank doxygen will generate a
# standard footer. Notice: only use this tag if you know what you are doing!

LATEX_FOOTER           =

# If the PDF_HYPERLINKS tag is set to YES, the LaTeX that is generated
# is prepared for conversion to pdf (using ps2pdf). The pdf file will
# contain links (just like the HTML output) instead of page references
# This makes the output suitable for online browsing using a pdf viewer.

PDF_HYPERLINKS         = YES

# If the USE_PDFLATEX tag is set to YES, pdflatex will be used instead of
# plain latex in the generated Makefile. Set this option to YES to get a
# higher quality PDF documentation.

USE_PDFLATEX           = YES

# If the LATEX_BATCHMODE tag is set to YES, doxygen will add the \\batchmode.
# command to the generated LaTeX files. This will instruct LaTeX to keep
# running if errors occur, instead of asking the user for help.
# This option is also used when generating formulas in HTML.

LATEX_BATCHMODE        = YES

# If LATEX_HIDE_INDICES is set to YES then doxygen will not
# include the index chapters (such as File Index, Compound Index, etc.)
# in the output.

LATEX_HIDE_INDICES     = NO

# If LATEX_SOURCE_CODE is set to YES then doxygen will include
# source code with syntax highlighting in the LaTeX output.
# Note that which sources are shown also depends on other settings
# such as SOURCE_BROWSER.

LATEX_SOURCE_CODE      = NO

# The LATEX_BIB_STYLE tag can be used to specify the style to use for the
# bibliography, e.g. plainnat, or ieeetr. The default style is "plain". See
# http://en.wikipedia.org/wiki/BibTeX for more info.

LATEX_BIB_STYLE        = plain

#---------------------------------------------------------------------------
# configuration options related to the RTF output
#---------------------------------------------------------------------------

# If the GENERATE_RTF tag is set to YES Doxygen will generate RTF output
# The RTF output is optimized for Word 97 and may not look very pretty with
# other RTF readers or editors.

GENERATE_RTF           = NO

# The RTF_OUTPUT tag is used to specify where the RTF docs will be put.
# If a relative path is entered the value of OUTPUT_DIRECTORY will be
# put in front of it. If left blank `rtf' will be used as the default path.

RTF_OUTPUT             = rtf

# If the COMPACT_RTF tag is set to YES Doxygen generates more compact
# RTF documents. This may be useful for small projects and may help to
# save some trees in general.

COMPACT_RTF            = NO

# If the RTF_HYPERLINKS tag is set to YES, the RTF that is generated
# will contain hyperlink fields. The RTF file will
# contain links (just like the HTML output) instead of page references.
# This makes the output suitable for online browsing using WORD or other
# programs which support those fields.
# Note: wordpad (write) and others do not support links.

RTF_HYPERLINKS         = NO

# Load style sheet definitions from file. Syntax is similar to doxygen's
# config file, i.e. a series of assignments. You only have to provide
# replacements, missing definitions are set to their default value.

RTF_STYLESHEET_FILE    =

# Set optional variables used in the generation of an rtf document.
# Syntax is similar to doxygen's config file.

RTF_EXTENSIONS_FILE    =

#---------------------------------------------------------------------------
# configuration options related to the man page output
#---------------------------------------------------------------------------

# If the GENERATE_MAN tag is set to YES (the default) Doxygen will
# generate man pages

GENERATE_MAN           = NO

# The MAN_OUTPUT tag is used to specify where the man pages will be put.
# If a relative path is entered the value of OUTPUT_DIRECTORY will be
# put in front of it. If left blank `man' will be used as the default path.

MAN_OUTPUT             = man

# The MAN_EXTENSION tag determines the extension that is added to
# the generated man pages (default is the subroutine's section .3)

MAN_EXTENSION          = .3

# If the MAN_LINKS tag is set to YES and Doxygen generates man output,
# then it will generate one additional man file for each entity
# documented in the real man page(s). These additional files
# only source the real man page, but without them the man command
# would be unable to find the correct page. The default is NO.

MAN_LINKS              = NO

#---------------------------------------------------------------------------
# configuration options related to the XML output
#---------------------------------------------------------------------------

# If the GENERATE_XML tag is set to YES Doxygen will
# generate an XML file that captures the structure of
# the code including all documentation.

GENERATE_XML           = NO

# The XML_OUTPUT tag is used to specify where the XML pages will be put.
# If a relative path is entered the value of OUTPUT_DIRECTORY will be
# put in front of it. If left blank `xml' will be used as the default path.

XML_OUTPUT             = xml

# The XML_SCHEMA tag can be used to specify an XML schema,
# which can be used by a validating XML parser to check the
# syntax of the XML files.

XML_SCHEMA             =

# The XML_DTD tag can be used to specify an XML DTD,
# which can be used by a validating XML parser to check the
# syntax of the XML files.

XML_DTD                =

# If the XML_PROGRAMLISTING tag is set to YES Doxygen will
# dump the program listings (including syntax highlighting
# and cross-referencing information) to the XML output. Note that
# enabling this will significantly increase the size of the XML output.

XML_PROGRAMLISTING     = YES

#---------------------------------------------------------------------------
# configuration options for the AutoGen Definitions output
#---------------------------------------------------------------------------

# If the GENERATE_AUTOGEN_DEF tag is set to YES Doxygen will
# generate an AutoGen Definitions (see autogen.sf.net) file
# that captures the structure of the code including all
# documentation. Note that this feature is still experimental
# and incomplete at the moment.

GENERATE_AUTOGEN_DEF   = NO

#---------------------------------------------------------------------------
# configuration options related to the Perl module output
#---------------------------------------------------------------------------

# If the GENERATE_PERLMOD tag is set to YES Doxygen will
# generate a Perl module file that captures the structure of
# the code including all documentation. Note that this
# feature is still experimental and incomplete at the
# moment.

GENERATE_PERLMOD       = NO

# If the PERLMOD_LATEX tag is set to YES Doxygen will generate
# the necessary Makefile rules, Perl scripts and LaTeX code to be able
# to generate PDF and DVI output from the Perl module output.

PERLMOD_LATEX          = NO

# If the PERLMOD_PRETTY tag is set to YES the Perl module output will be
# nicely formatted so it can be parsed by a human reader.
# This is useful
# if you want to understand what is going on.
# On the other hand, if this
# tag is set to NO the size of the Perl module output will be much smaller
# and Perl will parse it just the same.

PERLMOD_PRETTY         = YES

# The names of the make variables in the generated doxyrules.make file
# are prefixed with the string contained in PERLMOD_MAKEVAR_PREFIX.
# This is useful so different doxyrules.make files included by the same
# Makefile don't overwrite each other's variables.

PERLMOD_MAKEVAR_PREFIX =

#---------------------------------------------------------------------------
# Configuration options related to the preprocessor
#---------------------------------------------------------------------------

# If the ENABLE_PREPROCESSING tag is set to YES (the default) Doxygen will
# evaluate all C-preprocessor directives found in the sources and include
# files.

ENABLE_PREPROCESSING   = YES

# If the MACRO_EXPANSION tag is set to YES Doxygen will expand all macro
# names in the source code. If set to NO (the default) only conditional
# compilation will be performed. Macro expansion can be done in a controlled
# way by setting EXPAND_ONLY_PREDEF to YES.

MACRO_EXPANSION        = YES

# If the EXPAND_ONLY_PREDEF and MACRO_EXPANSION tags are both set to YES
# then the macro expansion is limited to the macros specified with the
# PREDEFINED and EXPAND_AS_DEFINED tags.

EXPAND_ONLY_PREDEF     = YES

# If the SEARCH_INCLUDES tag is set to YES (the default) the includes files
# pointed to by INCLUDE_PATH will be searched when a #include is found.

SEARCH_INCLUDES        = YES

# The INCLUDE_PATH tag can be used to specify one or more directories that
# contain include files that are not input files but should be processed by
# the preprocessor.

INCLUDE_PATH           = vl

# You can use the INCLUDE_FILE_PATTERNS tag to specify one or more wildcard
# patterns (like *.h and *.hpp) to filter out the header-files in the
# directories. If left blank, the patterns specified with FILE_PATTERNS will
# be used.

INCLUDE_FILE_PATTERNS  =

# The PREDEFINED tag can be used to specify one or more macro names that
# are defined before the preprocessor is started (similar to the -D option of
# gcc). The argument of the tag is a list of macros of the form: name
# or name=definition (no spaces). If the definition and the = are
# omitted =1 is assumed. To prevent a macro definition from being
# undefined via #undef or recursively expanded use the := operator
# instead of the = operator.

PREDEFINED             = __DOXYGEN__=1 \
                         VL_INLINE=inline \
                         VL_EXPORT= \
                         VL_UNUSED=

# If the MACRO_EXPANSION and EXPAND_ONLY_PREDEF tags are set to YES then
# this tag can be used to specify a list of macro names that should be expanded.
# The macro definition that is found in the sources will be used.
# Use the PREDEFINED tag if you want to use a different macro definition that
# overrules the definition found in the source code.

EXPAND_AS_DEFINED      =

# If the SKIP_FUNCTION_MACROS tag is set to YES (the default) then
# doxygen's preprocessor will remove all references to function-like macros
# that are alone on a line, have an all uppercase name, and do not end with a
# semicolon, because these will confuse the parser if not removed.

SKIP_FUNCTION_MACROS   = YES

#---------------------------------------------------------------------------
# Configuration::additions related to external references
#---------------------------------------------------------------------------

# The TAGFILES option can be used to specify one or more tagfiles. For each
# tag file the location of the external documentation should be added. The
# format of a tag file without this location is as follows:
#
# TAGFILES = file1 file2 ...
# Adding location for the tag files is done as follows:
#
# TAGFILES = file1=loc1 "file2 = loc2" ...
# where "loc1" and "loc2" can be relative or absolute paths
# or URLs. Note that each tag file must have a unique name (where the name does
# NOT include the path). If a tag file is not located in the directory in which
# doxygen is run, you must also specify the path to the tagfile here.

TAGFILES               =

# When a file name is specified after GENERATE_TAGFILE, doxygen will create
# a tag file that is based on the input files it reads.

GENERATE_TAGFILE       = doc/doxygen.tag

# If the ALLEXTERNALS tag is set to YES all external classes will be listed
# in the class index. If set to NO only the inherited external classes
# will be listed.

ALLEXTERNALS           = NO

# If the EXTERNAL_GROUPS tag is set to YES all external groups will be listed
# in the modules index. If set to NO, only the current project's groups will
# be listed.

EXTERNAL_GROUPS        = YES

# The PERL_PATH should be the absolute path and name of the perl script
# interpreter (i.e. the result of `which perl').

PERL_PATH              = /usr/bin/perl

#---------------------------------------------------------------------------
# Configuration options related to the dot tool
#---------------------------------------------------------------------------

# If the CLASS_DIAGRAMS tag is set to YES (the default) Doxygen will
# generate a inheritance diagram (in HTML, RTF and LaTeX) for classes with base
# or super classes. Setting the tag to NO turns the diagrams off. Note that
# this option also works with HAVE_DOT disabled, but it is recommended to
# install and use dot, since it yields more powerful graphs.

CLASS_DIAGRAMS         = NO

# You can define message sequence charts within doxygen comments using the \msc
# command. Doxygen will then run the mscgen tool (see
# http://www.mcternan.me.uk/mscgen/) to produce the chart and insert it in the
# documentation. The MSCGEN_PATH tag allows you to specify the directory where
# the mscgen tool resides. If left empty the tool is assumed to be found in the
# default search path.

MSCGEN_PATH            =

# If set to YES, the inheritance and collaboration graphs will hide
# inheritance and usage relations if the target is undocumented
# or is not a class.

HIDE_UNDOC_RELATIONS   = YES

# If you set the HAVE_DOT tag to YES then doxygen will assume the dot tool is
# available from the path. This tool is part of Graphviz, a graph visualization
# toolkit from AT&T and Lucent Bell Labs. The other options in this section
# have no effect if this option is set to NO (the default)

HAVE_DOT               = NO

# The DOT_NUM_THREADS specifies the number of dot invocations doxygen is
# allowed to run in parallel. When set to 0 (the default) doxygen will
# base this on the number of processors available in the system. You can set it
# explicitly to a value larger than 0 to get control over the balance
# between CPU load and processing speed.

DOT_NUM_THREADS        = 0

# By default doxygen will use the Helvetica font for all dot files that
# doxygen generates. When you want a differently looking font you can specify
# the font name using DOT_FONTNAME. You need to make sure dot is able to find
# the font, which can be done by putting it in a standard location or by setting
# the DOTFONTPATH environment variable or by setting DOT_FONTPATH to the
# directory containing the font.

DOT_FONTNAME           = FreeSans

# The DOT_FONTSIZE tag can be used to set the size of the font of dot graphs.
# The default size is 10pt.

DOT_FONTSIZE           = 10

# By default doxygen will tell dot to use the Helvetica font.
# If you specify a different font using DOT_FONTNAME you can use DOT_FONTPATH to
# set the path where dot can find it.

DOT_FONTPATH           =

# If the CLASS_GRAPH and HAVE_DOT tags are set to YES then doxygen
# will generate a graph for each documented class showing the direct and
# indirect inheritance relations. Setting this tag to YES will force the
# CLASS_DIAGRAMS tag to NO.

CLASS_GRAPH            = NO

# If the COLLABORATION_GRAPH and HAVE_DOT tags are set to YES then doxygen
# will generate a graph for each documented class showing the direct and
# indirect implementation dependencies (inheritance, containment, and
# class references variables) of the class with other documented classes.

COLLABORATION_GRAPH    = YES

# If the GROUP_GRAPHS and HAVE_DOT tags are set to YES then doxygen
# will generate a graph for groups, showing the direct groups dependencies

GROUP_GRAPHS           = YES

# If the UML_LOOK tag is set to YES doxygen will generate inheritance and
# collaboration diagrams in a style similar to the OMG's Unified Modeling
# Language.

UML_LOOK               = NO

# If the UML_LOOK tag is enabled, the fields and methods are shown inside
# the class node. If there are many fields or methods and many nodes the
# graph may become too big to be useful. The UML_LIMIT_NUM_FIELDS
# threshold limits the number of items for each type to make the size more
# managable. Set this to 0 for no limit. Note that the threshold may be
# exceeded by 50% before the limit is enforced.

UML_LIMIT_NUM_FIELDS   = 10

# If set to YES, the inheritance and collaboration graphs will show the
# relations between templates and their instances.

TEMPLATE_RELATIONS     = NO

# If the ENABLE_PREPROCESSING, SEARCH_INCLUDES, INCLUDE_GRAPH, and HAVE_DOT
# tags are set to YES then doxygen will generate a graph for each documented
# file showing the direct and indirect include dependencies of the file with
# other documented files.

INCLUDE_GRAPH          = YES

# If the ENABLE_PREPROCESSING, SEARCH_INCLUDES, INCLUDED_BY_GRAPH, and
# HAVE_DOT tags are set to YES then doxygen will generate a graph for each
# documented header file showing the documented files that directly or
# indirectly include this file.

INCLUDED_BY_GRAPH      = YES

# If the CALL_GRAPH and HAVE_DOT options are set to YES then
# doxygen will generate a call dependency graph for every global function
# or class method. Note that enabling this option will significantly increase
# the time of a run. So in most cases it will be better to enable call graphs
# for selected functions only using the \callgraph command.

CALL_GRAPH             = NO

# If the CALLER_GRAPH and HAVE_DOT tags are set to YES then
# doxygen will generate a caller dependency graph for every global function
# or class method. Note that enabling this option will significantly increase
# the time of a run. So in most cases it will be better to enable caller
# graphs for selected functions only using the \callergraph command.

CALLER_GRAPH           = NO

# If the GRAPHICAL_HIERARCHY and HAVE_DOT tags are set to YES then doxygen
# will generate a graphical hierarchy of all classes instead of a textual one.

GRAPHICAL_HIERARCHY    = YES

# If the DIRECTORY_GRAPH and HAVE_DOT tags are set to YES
# then doxygen will show the dependencies a directory has on other directories
# in a graphical way. The dependency relations are determined by the #include
# relations between the files in the directories.

DIRECTORY_GRAPH        = YES

# The DOT_IMAGE_FORMAT tag can be used to set the image format of the images
# generated by dot. Possible values are svg, png, jpg, or gif.
# If left blank png will be used. If you choose svg you need to set
# HTML_FILE_EXTENSION to xhtml in order to make the SVG files
# visible in IE 9+ (other browsers do not have this requirement).

DOT_IMAGE_FORMAT       = png

# If DOT_IMAGE_FORMAT is set to svg, then this option can be set to YES to
# enable generation of interactive SVG images that allow zooming and panning.
# Note that this requires a modern browser other than Internet Explorer.
# Tested and working are Firefox, Chrome, Safari, and Opera. For IE 9+ you
# need to set HTML_FILE_EXTENSION to xhtml in order to make the SVG files
# visible. Older versions of IE do not have SVG support.

INTERACTIVE_SVG        = NO

# The tag DOT_PATH can be used to specify the path where the dot tool can be
# found. If left blank, it is assumed the dot tool can be found in the path.

DOT_PATH               =

# The DOTFILE_DIRS tag can be used to specify one or more directories that
# contain dot files that are included in the documentation (see the
# \dotfile command).

DOTFILE_DIRS           =

# The MSCFILE_DIRS tag can be used to specify one or more directories that
# contain msc files that are included in the documentation (see the
# \mscfile command).

MSCFILE_DIRS           =

# The DOT_GRAPH_MAX_NODES tag can be used to set the maximum number of
# nodes that will be shown in the graph. If the number of nodes in a graph
# becomes larger than this value, doxygen will truncate the graph, which is
# visualized by representing a node as a red box. Note that doxygen if the
# number of direct children of the root node in a graph is already larger than
# DOT_GRAPH_MAX_NODES then the graph will not be shown at all. Also note
# that the size of a graph can be further restricted by MAX_DOT_GRAPH_DEPTH.

DOT_GRAPH_MAX_NODES    = 50

# The MAX_DOT_GRAPH_DEPTH tag can be used to set the maximum depth of the
# graphs generated by dot. A depth value of 3 means that only nodes reachable
# from the root by following a path via at most 3 edges will be shown. Nodes
# that lay further from the root node will be omitted. Note that setting this
# option to 1 or 2 may greatly reduce the computation time needed for large
# code bases. Also note that the size of a graph can be further restricted by
# DOT_GRAPH_MAX_NODES. Using a depth of 0 means no depth restriction.

MAX_DOT_GRAPH_DEPTH    = 0

# Set the DOT_TRANSPARENT tag to YES to generate images with a transparent
# background. This is disabled by default, because dot on Windows does not
# seem to support this out of the box. Warning: Depending on the platform used,
# enabling this option may lead to badly anti-aliased labels on the edges of
# a graph (i.e. they become hard to read).

DOT_TRANSPARENT        = YES

# Set the DOT_MULTI_TARGETS tag to YES allow dot to generate multiple output
# files in one run (i.e. multiple -o and -T options on the command line). This
# makes dot run faster, but since only newer versions of dot (>1.8.10)
# support this, this feature is disabled by default.

DOT_MULTI_TARGETS      = NO

# If the GENERATE_LEGEND tag is set to YES (the default) Doxygen will
# generate a legend page explaining the meaning of the various boxes and
# arrows in the dot generated graphs.

GENERATE_LEGEND        = YES

# If the DOT_CLEANUP tag is set to YES (the default) Doxygen will
# remove the intermediate dot files that are used to generate
# the various graphs.

DOT_CLEANUP            = YES
vlfeat-0.9.16/docsrc/doxygen.css000066400000000000000000000441271203326130700165410ustar00rootroot00000000000000/* The standard CSS for doxygen */

/* @group Heading Levels */

#content .doxygen h1 {
	font-size: 150%;
}

#content .doxygen .title {
	font-size: 150%;
	font-weight: bold;
	margin: 10px 2px;
}

#content .doxygen h2 {
	font-size: 120%;
}

#content .doxygen h3 {
	font-size: 100%;
}

#content .doxygen dt {
	font-weight: bold;
}

#content .doxygen div.multicol {
	-moz-column-gap: 1em;
	-webkit-column-gap: 1em;
	-moz-column-count: 3;
	-webkit-column-count: 3;
}

#content .doxygen p.startli,
#content .doxygen p.startdd,
#content .doxygen p.starttd {
	margin-top: 2px;
}

#content .doxygen p.endli {
	margin-bottom: 0px;
}

#content .doxygen p.enddd {
	margin-bottom: 4px;
}

#content .doxygen p.endtd {
	margin-bottom: 2px;
}

/* @end */

#content .doxygen caption {
	font-weight: bold;
}

#content .doxygen span.legend {
        font-size: 70%;
        text-align: center;
}

#content .doxygen h3.version {
        font-size: 90%;
        text-align: center;
}

#content .doxygen div.qindex,
#content .doxygen div.navtab {
	background-color: #EBEFF6;
	border: 1px solid #A3B4D7;
	text-align: center;
}

#content .doxygen div.qindex,
#content .doxygen div.navpath {
	width: 100%;
	line-height: 140%;
}

#content .doxygen div.navtab {
	margin-right: 15px;
}

/* @group Link Styling */

#content .doxygen a {
	color: #3D578C;
	font-weight: normal;
	text-decoration: none;
}

#content .doxygen .contents a:visited {
	color: #4665A2;
}

#content .doxygen a:hover {
	text-decoration: underline;
}

#content .doxygen a.qindex {
	font-weight: bold;
}

#content .doxygen a.qindexHL {
	font-weight: bold;
	background-color: #9CAFD4;
	color: #ffffff;
	border: 1px double #869DCA;
}

#content .doxygen .contents a.qindexHL:visited {
        color: #ffffff;
}

#content .doxygen a.el {
	font-weight: bold;
}

#content .doxygen a.elRef {
}

#content .doxygen a.code {
	color: #4665A2;
}

#content .doxygen a.codeRef {
	color: #4665A2;
}

/* @end */

#content .doxygen dl.el {
	margin-left: -1cm;
}

#content .doxygen .fragment {
	font-family: monospace, fixed;
	font-size: 105%;
}

#content .doxygen pre.fragment {
	border: 1px solid #C4CFE5;
	background-color: #FBFCFD;
	padding: 4px 6px;
	margin: 4px 8px 4px 2px;
	overflow: auto;
	word-wrap: break-word;
	font-size:  9pt;
	line-height: 125%;
}

#content .doxygen div.ah {
	background-color: black;
	font-weight: bold;
	color: #ffffff;
	margin-bottom: 3px;
	margin-top: 3px;
	padding: 0.2em;
	border: solid thin #333;
	border-radius: 0.5em;
	-webkit-border-radius: .5em;
	-moz-border-radius: .5em;
	box-shadow: 2px 2px 3px #999;
	-webkit-box-shadow: 2px 2px 3px #999;
	-moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px;
	background-image: -webkit-gradient(linear, left top, left bottom, from(#eee), to(#000),color-stop(0.3, #444));
	background-image: -moz-linear-gradient(center top, #eee 0%, #444 40%, #000);
}

#content .doxygen div.groupHeader {
	margin-left: 16px;
	margin-top: 12px;
	font-weight: bold;
}

#content .doxygen div.groupText {
	margin-left: 16px;
	font-style: italic;
}

#content .doxygen div.contents {
	margin-top: 10px;
	margin-left: 8px;
	margin-right: 8px;
}

#content .doxygen td.indexkey {
	background-color: #EBEFF6;
	font-weight: bold;
	border: 1px solid #C4CFE5;
	margin: 2px 0px 2px 0;
	padding: 2px 10px;
}

#content .doxygen td.indexvalue {
	background-color: #EBEFF6;
	border: 1px solid #C4CFE5;
	padding: 2px 10px;
	margin: 2px 0px;
}

#content .doxygen tr.memlist {
	background-color: #EEF1F7;
}

#content .doxygen p.formulaDsp {
	text-align: center;
}

#content .doxygen img.formulaDsp {

}

#content .doxygen img.formulaInl {
	vertical-align: middle;
}

#content .doxygen div.center {
	text-align: center;
        margin-top: 0px;
        margin-bottom: 0px;
        padding: 0px;
}

#content .doxygen div.center img {
	border: 0px;
}

#content .doxygen address.footer {
	text-align: right;
	padding-right: 12px;
}

#content .doxygen img.footer {
	border: 0px;
	vertical-align: middle;
}

/* @group Code Colorization */

#content .doxygen span.keyword {
	color: #008000
}

#content .doxygen span.keywordtype {
	color: #604020
}

#content .doxygen span.keywordflow {
	color: #e08000
}

#content .doxygen span.comment {
	color: #800000
}

#content .doxygen span.preprocessor {
	color: #806020
}

#content .doxygen span.stringliteral {
	color: #002080
}

#content .doxygen span.charliteral {
	color: #008080
}

#content .doxygen span.vhdldigit {
	color: #ff00ff
}

#content .doxygen span.vhdlchar {
	color: #000000
}

#content .doxygen span.vhdlkeyword {
	color: #700070
}

#content .doxygen span.vhdllogic {
	color: #ff0000
}

/* @end */

/*
#content .doxygen .search {
	color: #003399;
	font-weight: bold;
}

#content .doxygen form.search {
	margin-bottom: 0px;
	margin-top: 0px;
}

#content .doxygen input.search {
	font-size: 75%;
	color: #000080;
	font-weight: normal;
	background-color: #e8eef2;
}
*/

#content .doxygen td.tiny {
	font-size: 75%;
}

#content .doxygen .dirtab {
	padding: 4px;
	border-collapse: collapse;
	border: 1px solid #A3B4D7;
}

#content .doxygen th.dirtab {
	background: #EBEFF6;
	font-weight: bold;
}

#content .doxygen hr {
	height: 0px;
	border: none;
	border-top: 1px solid #4A6AAA;
}

#content .doxygen hr.footer {
	height: 1px;
}

/* @group Member Descriptions */

#content .doxygen table.memberdecls {
	border-spacing: 0px;
	padding: 0px;
}

#content .doxygen .mdescLeft,
#content .doxygen .mdescRight,
#content .doxygen .memItemLeft,
#content .doxygen .memItemRight,
#content .doxygen .memTemplItemLeft,
#content .doxygen .memTemplItemRight,
#content .doxygen .memTemplParams {
	background-color: #F9FAFC;
	border: none;
	margin: 4px;
	padding: 1px 0 0 8px;
}

#content .doxygen .mdescLeft,
#content .doxygen .mdescRight {
	padding: 0px 8px 4px 8px;
	color: #555;
}

#content .doxygen .memItemLeft,
#content .doxygen .memItemRight,
#content .doxygen .memTemplParams {
	border-top: 1px solid #C4CFE5;
}

#content .doxygen .memItemLeft,
#content .doxygen .memTemplItemLeft {
        white-space: nowrap;
}

#content .doxygen .memItemRight {
	width: 100%;
}

#content .doxygen .memTemplParams {
	color: #4665A2;
        white-space: nowrap;
}

/* @end */

/* @group Member Details */

/* Styles for detailed member documentation */

#content .doxygen .memtemplate {
	font-size: 80%;
	color: #4665A2;
	font-weight: normal;
	margin-left: 9px;
}

#content .doxygen .memnav {
	background-color: #EBEFF6;
	border: 1px solid #A3B4D7;
	text-align: center;
	margin: 2px;
	margin-right: 15px;
	padding: 2px;
}

#content .doxygen .mempage {
	width: 100%;
}

#content .doxygen .memitem {
	padding: 0;
	margin-bottom: 10px;
	margin-right: 5px;
}

#content .doxygen .memname {
        white-space: nowrap;
        font-weight: bold;
        margin-left: 6px;
}

#content .doxygen .memproto,
#content .doxygen dl.reflist dt {
        border-top: 1px solid #A8B8D9;
        border-left: 1px solid #A8B8D9;
        border-right: 1px solid #A8B8D9;
        padding: 6px 0px 6px 0px;
        color: #253555;
        font-weight: bold;
        text-shadow: 0px 1px 1px rgba(255, 255, 255, 0.9);
        /* opera specific markup */
        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        border-top-right-radius: 8px;
        border-top-left-radius: 8px;
        /* firefox specific markup */
        -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
        -moz-border-radius-topright: 8px;
        -moz-border-radius-topleft: 8px;
        /* webkit specific markup */
        -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        -webkit-border-top-right-radius: 8px;
        -webkit-border-top-left-radius: 8px;
        background-image:url('nav_f.png');
        background-repeat:repeat-x;
        background-color: #E2E8F2;

}

#content .doxygen .memdoc,
#content .doxygen dl.reflist dd {
        border-bottom: 1px solid #A8B8D9;
        border-left: 1px solid #A8B8D9;
        border-right: 1px solid #A8B8D9;
        padding: 2px 5px;
        background-color: #FBFCFD;
        border-top-width: 0;
        /* opera specific markup */
        border-bottom-left-radius: 8px;
        border-bottom-right-radius: 8px;
        box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        /* firefox specific markup */
        -moz-border-radius-bottomleft: 8px;
        -moz-border-radius-bottomright: 8px;
        -moz-box-shadow: rgba(0, 0, 0, 0.15) 5px 5px 5px;
        background-image: -moz-linear-gradient(center top, #FFFFFF 0%, #FFFFFF 60%, #F7F8FB 95%, #EEF1F7);
        /* webkit specific markup */
        -webkit-border-bottom-left-radius: 8px;
        -webkit-border-bottom-right-radius: 8px;
        -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15);
        background-image: -webkit-gradient(linear,center top,center bottom,from(#FFFFFF), color-stop(0.6,#FFFFFF), color-stop(0.60,#FFFFFF), color-stop(0.95,#F7F8FB), to(#EEF1F7));
}

#content .doxygen dl.reflist dt {
        padding: 5px;
}

#content .doxygen dl.reflist dd {
        margin: 0px 0px 10px 0px;
        padding: 5px;
}

#content .doxygen .paramkey {
	text-align: right;
}

#content .doxygen .paramtype {
	white-space: nowrap;
}

#content .doxygen .paramname {
	color: #602020;
	white-space: nowrap;
}
#content .doxygen .paramname em {
	font-style: normal;
}

#content .doxygen .params,
#content .doxygen .retval,
#content .doxygen .exception,
#content .doxygen .tparams {
        border-spacing: 6px 2px;
}

#content .doxygen .params .paramname,
#content .doxygen .retval .paramname {
        font-weight: bold;
        vertical-align: top;
}

#content .doxygen .params .paramtype {
        font-style: italic;
        vertical-align: top;
}

#content .doxygen .params .paramdir {
        font-family: "courier new",courier,monospace;
        vertical-align: top;
}




/* @end */

/* @group Directory (tree) */

/* for the tree view */

#content .doxygen .ftvtree {
	font-family: sans-serif;
	margin: 0px;
}

/* these are for tree view when used as main index */

#content .doxygen .directory {
	font-size: 9pt;
	font-weight: bold;
	margin: 5px;
}

#content .doxygen .directory h3 {
	margin: 0px;
	margin-top: 1em;
	font-size: 11pt;
}

/*
The following two styles can be used to replace the root node title
with an image of your choice.  Simply uncomment the next two styles,
specify the name of your image and be sure to set 'height' to the
proper pixel height of your image.
*/

/*
#content .doxygen .directory h3.swap {
	height: 61px;
	background-repeat: no-repeat;
	background-image: url("yourimage.gif");
}
#content .doxygen .directory h3.swap span {
	display: none;
}
*/

#content .doxygen .directory > h3 {
	margin-top: 0;
}

#content .doxygen .directory p {
	margin: 0px;
	white-space: nowrap;
}

#content .doxygen .directory div {
	display: none;
	margin: 0px;
}

#content .doxygen .directory img {
	vertical-align: -30%;
}

/* these are for tree view when not used as main index */

#content .doxygen .directory-alt {
	font-size: 100%;
	font-weight: bold;
}

#content .doxygen .directory-alt h3 {
	margin: 0px;
	margin-top: 1em;
	font-size: 11pt;
}

#content .doxygen .directory-alt > h3 {
	margin-top: 0;
}

#content .doxygen .directory-alt p {
	margin: 0px;
	white-space: nowrap;
}

#content .doxygen .directory-alt div {
	display: none;
	margin: 0px;
}

#content .doxygen .directory-alt img {
	vertical-align: -30%;
}

/* @end */

#content .doxygen div.dynheader {
        margin-top: 8px;
}

#content .doxygen address {
	font-style: normal;
	color: #2A3D61;
}

#content .doxygen table.doxtable {
	border-collapse:collapse;
}

#content .doxygen table.doxtable td,
#content .doxygen table.doxtable th {
	border: 1px solid #2D4068;
	padding: 3px 7px 2px;
}

#content .doxygen table.doxtable th {
	background-color: #374F7F;
	color: #FFFFFF;
	font-size: 110%;
	padding-bottom: 4px;
	padding-top: 5px;
	text-align:left;
}

#content .doxygen table.fieldtable {
        width: 100%;
        margin-bottom: 10px;
        border: 1px solid #A8B8D9;
        border-spacing: 0px;
        -moz-border-radius: 4px;
        -webkit-border-radius: 4px;
        border-radius: 4px;
        -moz-box-shadow: rgba(0, 0, 0, 0.15) 2px 2px 2px;
        -webkit-box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
        box-shadow: 2px 2px 2px rgba(0, 0, 0, 0.15);
}

#content .doxygen .fieldtable td,
#content .doxygen .fieldtable th {
        padding: 3px 7px 2px;
}

#content .doxygen .fieldtable td.fieldtype,
#content .doxygen .fieldtable td.fieldname {
        white-space: nowrap;
        border-right: 1px solid #A8B8D9;
        border-bottom: 1px solid #A8B8D9;
        vertical-align: top;
}

#content .doxygen .fieldtable td.fielddoc {
        border-bottom: 1px solid #A8B8D9;
        width: 100%;
}

#content .doxygen .fieldtable tr:last-child td {
        border-bottom: none;
}

#content .doxygen .fieldtable th {
        background-image:url('nav_f.png');
        background-repeat:repeat-x;
        background-color: #E2E8F2;
        font-size: 90%;
        color: #253555;
        padding-bottom: 4px;
        padding-top: 5px;
        text-align:left;
        -moz-border-radius-topleft: 4px;
        -moz-border-radius-topright: 4px;
        -webkit-border-top-left-radius: 4px;
        -webkit-border-top-right-radius: 4px;
        border-top-left-radius: 4px;
        border-top-right-radius: 4px;
        border-bottom: 1px solid #A8B8D9;
}


#content .doxygen .tabsearch {
	top: 0px;
	left: 10px;
	height: 36px;
	background-image: url('tab_b.png');
	z-index: 101;
	overflow: hidden;
	font-size: 13px;
}

#content .doxygen .navpath ul
{
	font-size: 11px;
	background-image:url('tab_b.png');
	background-repeat:repeat-x;
	height:30px;
	line-height:30px;
	color:#8AA0CC;
	border:solid 1px #C2CDE4;
	overflow:hidden;
	margin:0px;
	padding:0px;
}

#content .doxygen .navpath li
{
	list-style-type:none;
	float:left;
	padding-left:10px;
	padding-right:15px;
	background-image:url('bc_s.png');
	background-repeat:no-repeat;
	background-position:right;
	color:#364D7C;
}

#content .doxygen .navpath li.navelem a
{
	height:32px;
	display:block;
	text-decoration: none;
	outline: none;
}

#content .doxygen .navpath li.navelem a:hover
{
	color:#6884BD;
}

#content .doxygen .navpath li.footer
{
        list-style-type:none;
        float:right;
        padding-left:10px;
        padding-right:15px;
        background-image:none;
        background-repeat:no-repeat;
        background-position:right;
        color:#364D7C;
        font-size: 8pt;
}


#content .doxygen div.summary
{
	float: right;
	font-size: 8pt;
	padding-right: 5px;
	width: 50%;
	text-align: right;
}

#content .doxygen div.summary a
{
	white-space: nowrap;
}

#content .doxygen div.ingroups
{
	margin-left: 5px;
	font-size: 8pt;
	padding-left: 5px;
	width: 50%;
	text-align: left;
}

#content .doxygen div.ingroups a
{
	white-space: nowrap;
}

#content .doxygen div.header
{
        background-image:url('nav_h.png');
        background-repeat:repeat-x;
	background-color: #F9FAFC;
	margin:  0px;
	border-bottom: 1px solid #C4CFE5;
}

#content .doxygen div.headertitle
{
	padding: 5px 5px 5px 7px;
}

#content .doxygen dl
{
        padding: 0 0 0 10px;
}

#content .doxygen dl.note, dl.warning,
#content .doxygen dl.attention,
#content .doxygen dl.pre, dl.post,
#content .doxygen dl.invariant,
#content .doxygen dl.deprecated,
#content .doxygen dl.todo,
#content .doxygen dl.test,
#content .doxygen dl.bug
{
        border-left:4px solid;
        padding: 0 0 0 6px;
}

#content .doxygen dl.note
{
        border-color: #D0C000;
}

#content .doxygen dl.warning,
dl.attention
{
        border-color: #FF0000;
}

#content .doxygen dl.pre,
#content .doxygen dl.post,
#content .doxygen dl.invariant
{
        border-color: #00D000;
}

#content .doxygen dl.deprecated
{
        border-color: #505050;
}

#content .doxygen dl.todo
{
        border-color: #00C0E0;
}

#content .doxygen dl.test
{
        border-color: #3030E0;
}

#content .doxygen dl.bug
{
        border-color: #C08050;
}

#projectlogo
{
	text-align: center;
	vertical-align: bottom;
	border-collapse: separate;
}

#projectlogo img
{
	border: 0px none;
}

#projectname
{
	font: 300% Tahoma, Arial,sans-serif;
	margin: 0px;
	padding: 2px 0px;
}

#projectbrief
{
	font: 120% Tahoma, Arial,sans-serif;
	margin: 0px;
	padding: 0px;
}

#projectnumber
{
	font: 50% Tahoma, Arial,sans-serif;
	margin: 0px;
	padding: 0px;
}

#titlearea
{
	padding: 0px;
	margin: 0px;
	width: 100%;
	border-bottom: 1px solid #5373B4;
}

#content .doxygen .image
{
        text-align: center;
}

#content .doxygen .dotgraph
{
        text-align: center;
}

#content .doxygen .mscgraph
{
        text-align: center;
}

#content .doxygen .caption
{
	font-weight: bold;
}

#content .doxygen div.zoom
{
	border: 1px solid #90A5CE;
}

#content .doxygen dl.citelist {
        margin-bottom:50px;
}

#content .doxygen dl.citelist dt {
        color:#334975;
        float:left;
        font-weight:bold;
        margin-right:10px;
        padding:5px;
}

#content .doxygen dl.citelist dd {
        margin:2px 0;
        padding:5px 0;
}

@media print
{
  #top { display: none; }
  #side-nav { display: none; }
  #nav-path { display: none; }
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vlfeat-0.9.16/docsrc/dsift.html000066400000000000000000000100621203326130700163400ustar00rootroot00000000000000




VLFeat implements a fast dense version of SIFT, called
vl_dsift. The function is roughly equivalent to running
SIFT on a dense gird of locations at a fixed scale and
orientation. This type of feature descriptors is often uses for object
categorization.




Dense SIFT as a faster SIFT




The main advantage of using vl_dsift
over vl_sift is speed. To see this, load a test image


I = vl_impattern('roofs1') ;
I = single(vl_imdown(rgb2gray(I))) ;



To check the equivalence of vl_disft
and vl_sift it is necessary to understand in detail how
the parameters of the two descriptors are related.



    


  • Bin size vs keypoint scale. DSIFT specifies the
descriptor size by a single parameter, size, which controls
the size of a SIFT spatial bin in pixels. In the standard SIFT
descriptor, the bin size is related to the SIFT keypoint scale by a
multiplier, denoted magnif below, which defaults
to 3. As a consequence, a DSIFT descriptor with bin size
equal to 5 corresponds to a SIFT keypoint of scale 5/3=1.66.
    • 


  • Smoothing. The SIFT descriptor smoothes the image
according to the scale of the keypoints (Gaussian scale space). By
default, the smoothing is equivalent to a convolution by a Gaussian of
variance s^2 - .25, where s is the scale of
the keypoint and .25 is a nominal adjustment that
accounts for the smoothing induced by the camera CCD.
    • 





Thus the following code produces equivalent descriptors using
  either DSIFT or SIFT:



binSize = 8 ;
magnif = 3 ;
Is = vl_imsmooth(I, sqrt((binSize/magnif)^2 - .25)) ;

[f, d] = vl_dsift(Is, 'size', binSize) ;
f(3,:) = binSize/magnif ;
f(4,:) = 0 ;
[f_, d_] = vl_sift(I, 'frames', f) ;



The difference, of course, is that DSIFT is much faster.




 
 
 

  
    Left: accuracy of the slow and fast dense SIFT implementations in
    vl_dsift compared to the SIFT baseline from 
    vl_sift. Right: speedup. The fast version is less similar
    to the original SIFT descriptors but from 30 to 70 times faster
    than SIFT. Notice that the equivalence of the descriptors does not
    necessarily indicate that one would work better than the other in
    applications.
  
 






PHOW descriptors




The PHOW features [1] are a variant of dense
SIFT descriptors, extracted at multiple scales. A color version, named
PHOW-color, extracts descriptors on the three HSV image channels and
stacks them up. A combination of vl_dsift
and vl_imsmooth can be used to easily and efficiently
compute such features.



VLFeat includes a simple wrapper, vl_phow, that does
exactly this:



im = vl_impattern('roofs1') ;
[frames, descrs]=vl_phow(im2single(im)) ;



Note that this typically generate a very large number of features.
In this example, there are 162,574 features.




References




    
  
  • [1] A. Bosch, A. Zisserman, and X. Munoz. Image
  classifcation using random forests and ferns. In Proc. ICCV,
  2007.

    • 




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1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 7800 4725 36 36 7800 4725 7836 4725
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 8250 4725 36 36 8250 4725 8286 4725
-6
6 1800 1050 3750 1650
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 1875 1125 2325 1125 2325 1575 1875 1575 1875 1125
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2325 1125 2775 1125 2775 1575 2325 1575 2325 1125
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2775 1125 3225 1125 3225 1575 2775 1575 2775 1125
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 3225 1125 3675 1125 3675 1575 3225 1575 3225 1125
-6
6 1800 1500 3750 2100
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 1875 1575 2325 1575 2325 2025 1875 2025 1875 1575
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2325 1575 2775 1575 2775 2025 2325 2025 2325 1575
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2775 1575 3225 1575 3225 2025 2775 2025 2775 1575
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 3225 1575 3675 1575 3675 2025 3225 2025 3225 1575
-6
6 1800 2400 3750 3000
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 1875 2475 2325 2475 2325 2925 1875 2925 1875 2475
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2325 2475 2775 2475 2775 2925 2325 2925 2325 2475
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2775 2475 3225 2475 3225 2925 2775 2925 2775 2475
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 3225 2475 3675 2475 3675 2925 3225 2925 3225 2475
-6
6 1800 1950 3750 2550
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 1875 2025 2325 2025 2325 2475 1875 2475 1875 2025
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2325 2025 2775 2025 2775 2475 2325 2475 2325 2025
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 2775 2025 3225 2025 3225 2475 2775 2475 2775 2025
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 3225 2025 3675 2025 3675 2475 3225 2475 3225 2025
-6
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2100 1350 36 36 2100 1350 2136 1350
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2550 1350 36 36 2550 1350 2586 1350
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3000 1350 36 36 3000 1350 3036 1350
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3450 1350 36 36 3450 1350 3486 1350
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2100 1800 36 36 2100 1800 2136 1800
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2550 1800 36 36 2550 1800 2586 1800
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3000 1800 36 36 3000 1800 3036 1800
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3450 1800 36 36 3450 1800 3486 1800
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2100 2250 36 36 2100 2250 2136 2250
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2550 2250 36 36 2550 2250 2586 2250
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3000 2250 36 36 3000 2250 3036 2250
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3450 2250 36 36 3450 2250 3486 2250
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2100 2700 36 36 2100 2700 2136 2700
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 2550 2700 36 36 2550 2700 2586 2700
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3000 2700 36 36 3000 2700 3036 2700
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3975 2700 36 36 3975 2700 4011 2700
1 3 0 1 0 7 50 -1 44 0.000 1 0.0000 3975 2700 36 36 3975 2700 4011 2700
1 3 0 1 0 0 50 -1 20 0.000 1 0.0000 3450 2700 36 36 3450 2700 3486 2700
2 2 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 5
	 1725 975 9075 975 9075 5475 1725 5475 1725 975
2 2 1 2 0 8 50 -1 -1 6.000 0 0 -1 0 0 5
	 2100 1350 8250 1350 8250 4725 2100 4725 2100 1350
2 1 2 2 0 0 50 -1 0 4.500 0 0 -1 0 0 2
	 3225 3000 3225 3375
2 1 2 2 0 0 50 -1 0 4.500 0 0 -1 0 0 2
	 3675 3000 3675 3375
2 1 0 2 0 0 50 -1 0 4.500 0 0 -1 0 0 2
	 3225 3375 3675 3375
2 2 2 1 0 0 50 -1 -1 1.000 0 0 -1 0 0 5
	 2400 1050 4200 1050 4200 2850 2400 2850 2400 1050
3 2 2 1 0 -1 50 -1 -1 1.000 0 1 0 3
	1 1 1.00 60.00 60.00
	 3450 2625 3675 2475 3975 2625
	 0.000 -1.000 0.000
4 1 0 50 -1 0 12 0.0000 2 195 1200 5625 900 image domain\001
4 1 0 50 -1 0 12 0.0000 2 195 1140 5550 1650 bounding box\001
4 1 0 50 -1 0 12 0.0000 2 150 630 3450 3600 bin size\001
4 0 0 50 -1 0 12 0.0000 2 195 1170 4050 2550 sampling step\001
vlfeat-0.9.16/docsrc/figures/mser-er.fig000066400000000000000000000066471203326130700200640ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5-alpha5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
1 3 0 4 0 0 47 -1 20 7.500 1 0.0000 9750 2250 46 46 9750 2250 9796 2255
1 3 0 4 0 0 47 -1 20 7.500 1 0.0000 12225 3000 46 46 12225 3000 12271 3005
1 3 0 4 0 0 47 -1 20 7.500 1 0.0000 13350 1800 46 46 13350 1800 13396 1805
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2100 2475 2700 2475
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2100 2100 3000 2100
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 3750 2100 6075 2100
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4125 2475 5625 2475
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 6750 2475 7200 2475
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 6450 2100 7200 2100
2 1 2 1 0 7 51 -1 -1 4.500 0 0 -1 0 0 2
	 2100 2475 7200 2475
2 1 2 1 0 7 51 -1 -1 4.500 0 0 -1 0 0 2
	 2100 2100 7200 2100
2 1 0 1 0 7 51 -1 -1 0.000 0 0 -1 0 0 2
	 7350 2100 7350 2475
2 1 2 1 0 7 47 -1 -1 3.000 0 0 -1 0 0 2
	 4125 2475 4125 1725
2 1 2 1 0 7 47 -1 -1 3.000 0 0 -1 0 0 2
	 3750 2100 3750 1725
2 1 2 1 0 7 47 -1 -1 3.000 0 0 -1 0 0 2
	 5625 2475 5625 1725
2 1 2 1 0 7 47 -1 -1 3.000 0 0 -1 0 0 2
	 6150 2100 6150 1725
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 5625 1725 6150 1725 6150 1800 5625 1800 5625 1725
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 4125 2475 5625 2475 5625 2550 4125 2550 4125 2475
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 3750 2100 6150 2100 6150 2175 3750 2175 3750 2100
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 3750 1725 4125 1725 4125 1800 3750 1800 3750 1725
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 90.00 135.00
	 2175 3300 7200 3300
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 90.00 135.00
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2 1 0 4 0 15 47 -1 -1 7.500 0 0 -1 0 0 2
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2 1 0 4 0 15 47 -1 -1 7.500 0 0 -1 0 0 2
	 8400 2250 9750 2250
2 1 2 0 0 15 47 -1 20 1.500 0 0 -1 0 0 2
	 8700 4125 11400 4125
2 1 0 4 0 15 47 -1 -1 7.500 0 0 -1 0 0 2
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2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 9750 3000 12225 3000 12225 3075 9750 3075 9750 3000
2 1 2 1 0 0 47 -1 20 3.000 0 0 -1 0 0 2
	 9750 2325 9750 3000
2 1 2 1 0 0 47 -1 20 3.000 0 0 -1 0 0 2
	 12225 1800 12225 3000
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 8400 2250 12225 2250 12225 2325 8400 2325 8400 2250
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 9750 2625 12225 2625 12225 2700 9750 2700 9750 2625
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 8400 1950 12225 1950 12225 2025 8400 2025 8400 1950
3 2 0 4 0 7 43 -1 -1 0.000 0 0 0 14
	 2475 3000 2700 2475 3000 2100 3375 1950 3750 2100 4125 2475
	 4425 2925 4800 3150 5250 3000 5625 2475 6075 2100 6450 2100
	 6825 2625 7050 3000
	 0.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000
	 -1.000 -1.000 -1.000 -1.000 -1.000 0.000
4 0 0 51 -1 0 12 0.0000 2 180 735 7425 2400 $\\Delta$\001
4 1 0 47 -1 0 12 0.0000 2 180 945 4950 1800 $\\Delta A$\001
4 1 0 47 -1 0 12 0.0000 2 210 1350 4875 2325 $R_{l+\\Delta}$\001
4 1 0 47 -1 0 12 0.0000 2 210 495 4875 2700 $R_l$\001
4 0 0 47 -1 0 12 0.0000 2 195 5055 8400 3600 Discontinuities cause multiple extremal regions to coincide.\001
4 0 0 47 -1 0 12 0.0000 2 195 4950 2250 3600 Extremal regions are connected components of level sets.\001
4 0 0 47 -1 0 12 0.0000 2 195 4665 2250 3855 Extremal regions variation is used to compute stability.\001
4 0 0 45 -1 0 12 0.0000 2 180 315 13500 3375 $x$\001
4 0 0 45 -1 0 12 0.0000 2 180 315 7275 3375 $x$\001
4 0 0 45 -1 0 12 0.0000 2 210 540 7125 3075 $I(x)$\001
4 0 0 45 -1 0 12 0.0000 2 210 540 12525 2025 $I(x)$\001
vlfeat-0.9.16/docsrc/figures/mser-tree.fig000066400000000000000000000046401203326130700204040ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5-alpha5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 4125 2475 5625 2475 5625 2550 4125 2550 4125 2475
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 3750 2100 6150 2100 6150 2175 3750 2175 3750 2100
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 90.00 135.00
	 2175 3300 7200 3300
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 2100 2475 2700 2475 2700 2550 2100 2550 2100 2475
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 2100 2100 2925 2100 2925 2175 2100 2175 2100 2100
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
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2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 6450 2100 7050 2100 7050 2175 6450 2175 6450 2100
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
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2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 2100 2850 2550 2850 2550 2925 2100 2925 2100 2850
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 6975 2850 7050 2850 7050 2925 6975 2925 6975 2850
2 1 2 1 0 0 47 -1 20 3.000 0 0 -1 0 0 1
	 4950 2625
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 5
	1 1 1.00 60.00 120.00
	 4875 2850 4875 2775 4875 2700 4875 2625 4875 2550
2 2 2 0 0 15 50 -1 20 1.500 0 0 -1 0 0 5
	 2100 1725 7050 1725 7050 1800 2100 1800 2100 1725
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
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2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 4875 2100 4875 1800
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 2325 2850 2325 2550
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 2325 2475 2325 2175
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 2325 2100 4875 1800
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 7050 2850 7050 2550
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 7050 2475 7050 2175
2 1 0 1 0 0 45 -1 20 3.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 7050 2100 4950 1800
3 2 0 4 0 7 43 -1 -1 0.000 0 0 0 14
	 2475 3000 2700 2475 3000 2100 3375 1950 3750 2100 4125 2475
	 4425 2925 4800 3150 5250 3000 5625 2475 6075 2100 6450 2100
	 6825 2625 7050 3000
	 0.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000
	 -1.000 -1.000 -1.000 -1.000 -1.000 0.000
4 0 0 47 -1 0 12 0.0000 2 195 4920 2250 3600 Extremal regions are arranged in a tree of netsed regions.\001
4 0 0 45 -1 0 12 0.0000 2 210 540 7125 3075 $I(x)$\001
4 0 0 45 -1 0 12 0.0000 2 180 315 7200 3375 $x$\001
vlfeat-0.9.16/docsrc/figures/sift-angle.fig000066400000000000000000000025471203326130700205360ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5-alpha5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
5 1 0 1 0 7 50 -1 -1 0.000 0 0 1 0 3105.263 1341.053 4125 1350 4066 1683 4050 1725
	1 1 1.00 60.00 120.00
5 1 0 1 0 7 50 -1 -1 0.000 0 0 1 0 5805.263 1341.053 6825 1350 6766 1683 6750 1725
	1 1 1.00 60.00 120.00
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 3150 1350 3150 2475
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 3150 1350 4350 1875
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 3150 1350 4350 1350
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 5850 1350 7050 1350
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 5850 1350 7050 1875
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 5850 1350 5850 225
4 1 0 50 -1 0 12 0.0000 2 210 315 3150 2700 $y$\001
4 1 0 50 -1 0 12 0.0000 2 180 315 4350 1275 $x$\001
4 1 0 50 -1 0 12 0.0000 2 180 375 4275 1575 $th$\001
4 1 0 50 -1 0 12 0.0000 2 180 315 4200 2025 $v$\001
4 1 0 50 -1 0 12 0.0000 2 195 2205 3750 150 standar image convention\001
4 1 0 50 -1 0 12 0.0000 2 210 315 6000 375 $y$\001
4 1 0 50 -1 0 12 0.0000 2 180 315 7050 1275 $x$\001
4 1 0 50 -1 0 12 0.0000 2 180 315 6900 2025 $v$\001
4 1 0 50 -1 0 12 0.0000 2 150 1635 6525 150 Lowe's convention\001
4 1 0 50 -1 0 12 0.0000 2 180 435 7050 1575 $-th$\001
vlfeat-0.9.16/docsrc/figures/sift-bins.fig000066400000000000000000000226371203326130700204050ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
6 825 2925 3975 6075
2 1 2 2 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 1800 3300 1800 5700
2 1 2 2 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 2400 3300 2400 5700
2 1 2 2 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 3000 3300 3000 5700
2 1 2 2 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 3600 3900 1200 3900
2 2 0 2 0 7 48 -1 -1 0.000 0 0 -1 0 0 5
	 1200 3300 3600 3300 3600 5700 1200 5700 1200 3300
2 1 2 2 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 3600 4500 1200 4500
2 1 2 2 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
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6 225 2325 4575 6675
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6 1050 1725 4050 1875
4 1 0 50 -1 0 12 0.0000 2 150 105 2400 1875 0\001
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4 1 0 50 -1 0 12 0.0000 2 150 165 1200 1875 -2\001
4 1 0 50 -1 0 12 0.0000 2 150 165 1800 1875 -1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 3600 1875 2\001
4 1 0 50 -1 0 12 0.0000 2 150 270 3900 1875 2.5\001
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6 4800 900 10200 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 7200 1650 7800 900 8400 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 7800 1650 8400 900 9000 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 8400 1650 9000 900 9600 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 9000 1650 9600 900 10200 1650
-6
6 8250 3525 8700 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
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	 8250 5325 8700 5325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8250 5025 8700 5025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
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	 8250 4425 8700 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8250 3825 8700 3825
-6
6 7800 3525 8250 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7800 5625 8250 5625 8250 3525 7800 3525 7800 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 5325 8250 5325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 5025 8250 5025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 4725 8250 4725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 4425 8250 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 4125 8250 4125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 3825 8250 3825
-6
6 7350 3525 7800 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7350 5625 7800 5625 7800 3525 7350 3525 7350 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 5325 7800 5325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 5025 7800 5025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 4725 7800 4725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 4425 7800 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 4125 7800 4125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 3825 7800 3825
-6
6 6900 3525 7350 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 6900 5625 7350 5625 7350 3525 6900 3525 6900 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6900 5325 7350 5325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6900 5025 7350 5025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6900 4725 7350 4725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6900 4425 7350 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6900 4125 7350 4125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6900 3825 7350 3825
-6
6 8700 3375 8850 5625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 4
	 8700 5625 8850 5475 8850 3375 8700 3525
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8700 3825 8850 3675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8700 4125 8850 3975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8700 4425 8850 4275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8700 4725 8850 4575
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8700 5325 8850 5175
-6
6 8850 3225 9000 5475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 4
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8850 3675 9000 3525
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
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2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8850 4275 9000 4125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8850 4575 9000 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8850 4875 9000 4725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8850 5175 9000 5025
-6
6 9000 3075 9150 5325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 4
	 9000 5325 9150 5175 9150 3075 9000 3225
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 3525 9150 3375
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 3825 9150 3675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 4125 9150 3975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 4425 9150 4275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 4725 9150 4575
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 5025 9150 4875
-6
6 9150 2925 9300 5175
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 4
	 9150 5175 9300 5025 9300 2925 9150 3075
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9150 3375 9300 3225
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9150 3675 9300 3525
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9150 3975 9300 3825
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9150 4275 9300 4125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9150 4575 9300 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9150 4875 9300 4725
-6
1 3 0 4 1 7 52 -1 -1 0.000 1 0.0000 2400 4500 225 225 2400 4500 2625 4500
1 3 0 4 1 7 52 -1 -1 0.000 1 0.0000 2400 4500 1202 1202 2400 4500 3600 4425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6600 1650 6600 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6000 1650 6000 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 5400 1650 5400 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7200 1650 7200 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 1650 7800 1500
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 10950 1650 4650 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8400 1650 8400 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9600 1650 9600 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 10200 1650 10200 1500
2 2 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 5
	 300 2400 4500 2400 4500 6600 300 6600 300 2400
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 900 3000 900 1650
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 1200 1650 1200 3300
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 1800 3300 1800 1650
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 2400 3300 2400 1650
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 3000 3300 3000 1650
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 3600 3300 3600 1650
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 3900 3000 3900 1725
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 2400 4500 4800 4500
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 3600 3900 4800 3900
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 2400 4275 4800 4275
2 1 0 2 0 7 54 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 4800 4500 4800 2100
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 3600 3300 4800 3300
2 1 2 1 0 7 54 -1 -1 3.000 0 0 -1 0 0 2
	 3900 3000 4800 3000
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 1650 9000 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2400 1650 2400 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 1800 1650 1800 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 1200 1650 1200 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3000 1650 3000 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3600 1650 3600 1500
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 900 1650 1500 900 2100 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 1500 1650 2100 900 2700 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 2100 1650 2700 900 3300 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 2700 1650 3300 900 3900 1650
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 4275 1650 450 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8250 3525 8400 3375
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8400 3375 8850 3375
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 6900 3525 7500 2925 9300 2925
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7800 3525 8400 2925
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 3525 7950 2925
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8400 3375 8850 2925
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 9000 3225 7200 3225
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7350 3075 9150 3075
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8400 3375 7050 3375
4 1 0 50 -1 0 12 0.0000 2 150 105 5400 1875 0\001
4 1 0 50 -1 0 12 0.0000 2 210 930 6000 1875 $2\\pi/B_o$\001
4 1 0 50 -1 0 12 0.0000 2 210 525 10200 1875 $2\\pi$\001
4 1 0 50 -1 0 12 0.0000 2 210 1920 2325 600 $x$ and $y$ directions\001
4 0 0 54 -1 0 12 0.0000 2 210 780 4875 4350 $\\sigma$\001
4 0 0 54 -1 0 12 0.0000 2 150 105 4875 4575 0\001
4 0 0 54 -1 0 12 0.0000 2 210 945 4875 3975 $m\\sigma$\001
4 1 0 50 -1 0 12 0.0000 2 180 1500 7800 600 $\\theta$ direction\001
4 1 0 50 -1 0 12 0.0000 2 195 945 1425 825 bin support\001
4 1 0 50 -1 0 12 0.0000 2 210 720 3600 2100 $B_p/2$\001
4 0 0 50 -1 0 12 0.7854 2 210 1845 8850 5775 $N_y$ bins along $y$\001
4 1 0 50 -1 0 12 0.0000 2 210 1845 7800 5925 $N_x$ bins along $x$\001
4 1 0 50 -1 0 12 1.5708 2 210 1845 6750 4575 $N_o$ along $\\theta$\001
4 0 0 54 -1 0 12 0.0000 2 210 3270 4875 2475 $m\\sigma \\frac{N_y+1}{2} \\sqrt{2}$\001
4 0 0 54 -1 0 12 0.0000 2 210 2520 4875 3075 $m\\sigma \\frac{N_y+1}{2}$\001
4 0 0 54 -1 0 12 0.0000 2 210 2295 4875 3375 $m\\sigma \\frac{N_y}{2}$\001
vlfeat-0.9.16/docsrc/figures/sift-can.fig000066400000000000000000000063011203326130700202010ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
6 2550 1800 4950 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 1800 3150 1800 3150 2400 2550 2400 2550 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 1800 3750 1800 3750 2400 3150 2400 3150 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 1800 4350 1800 4350 2400 3750 2400 3750 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 1800 4950 1800 4950 2400 4350 2400 4350 1800
-6
6 2550 2400 4950 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 2400 3150 2400 3150 3000 2550 3000 2550 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 2400 3750 2400 3750 3000 3150 3000 3150 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 2400 4350 2400 4350 3000 3750 3000 3750 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 2400 4950 2400 4950 3000 4350 3000 4350 2400
-6
6 2550 3000 4950 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 3000 3150 3000 3150 3600 2550 3600 2550 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 3000 3750 3000 3750 3600 3150 3600 3150 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 3000 4350 3000 4350 3600 3750 3600 3750 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 3000 4950 3000 4950 3600 4350 3600 4350 3000
-6
6 2550 3600 4950 4200
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 3600 3150 3600 3150 4200 2550 4200 2550 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 3600 3750 3600 3750 4200 3150 4200 3150 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 3600 4350 3600 4350 4200 3750 4200 3750 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 3600 4950 3600 4950 4200 4350 4200 4350 3600
-6
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 4050 3300 75 75 4050 3300 4125 3300
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 4050 3300 1350 3300
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 4.00 60.00 60.00
	 2025 3000 1200 3000
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 4.00 60.00 60.00
	 3750 1200 3750 300
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 1950 3900 1350 3300
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 3750 1350 3750 4650
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 2175 3000 5475 3000
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 4.00 60.00 60.00
	 2175 1125 5475 1125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3450 1125 4050 525
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4050 525 4650 1125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 1950 2700 1350 3300
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 4.00 60.00 60.00
	 1950 1350 1950 4650
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 4050 3300 4050 525
4 1 0 50 -1 0 12 0.0000 2 210 750 4950 1650 $N_x/2$\001
4 1 0 50 -1 0 12 0.0000 2 150 105 4350 1650 1\001
4 0 0 50 -1 0 12 0.0000 2 210 1035 4350 750 $w(x - x_i)$\001
4 1 0 50 -1 0 12 0.0000 2 210 465 4050 1650 $x_i$\001
4 2 0 50 -1 0 12 0.0000 2 150 105 2475 3600 1\001
4 2 0 50 -1 0 12 0.0000 2 210 750 2475 4200 $N_y/2$\001
4 2 0 50 -1 0 12 0.0000 2 210 480 2475 3300 $y_j$\001
4 0 0 50 -1 0 12 0.0000 2 210 315 3900 4575 $y$\001
4 0 0 50 -1 0 12 0.0000 2 210 315 2100 4575 $y$\001
4 0 0 50 -1 0 12 0.0000 2 180 315 5250 3300 $x$\001
4 0 0 50 -1 0 12 0.0000 2 180 315 5175 1350 $u$\001
4 2 0 50 -1 0 12 0.0000 2 210 1050 1725 2850 $w(y - y_j)$\001
vlfeat-0.9.16/docsrc/figures/sift-conv-vlfeat.fig000066400000000000000000000167571203326130700217040ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Portrait
Center
Inches
Letter  
78.90
Single
-2
1200 2
6 0 0 11400 3300
6 7725 300 11400 2475
6 8100 675 8925 1500
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8208 1231 8351 1231 8351 1374 8208 1374 8208 1231
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8351 1231 8495 1231 8495 1374 8351 1374 8351 1231
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8495 1231 8638 1231 8638 1374 8495 1374 8495 1231
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8638 1231 8782 1231 8782 1374 8638 1374 8638 1231
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8208 1088 8351 1088 8351 1231 8208 1231 8208 1088
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8351 1088 8495 1088 8495 1231 8351 1231 8351 1088
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8495 1088 8638 1088 8638 1231 8495 1231 8495 1088
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8638 1088 8782 1088 8782 1231 8638 1231 8638 1088
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8208 944 8351 944 8351 1088 8208 1088 8208 944
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8351 944 8495 944 8495 1088 8351 1088 8351 944
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8495 944 8638 944 8638 1088 8495 1088 8495 944
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8638 944 8782 944 8782 1088 8638 1088 8638 944
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8208 801 8351 801 8351 944 8208 944 8208 801
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8351 801 8495 801 8495 944 8351 944 8351 801
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8495 801 8638 801 8638 944 8495 944 8495 801
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8638 801 8782 801 8782 944 8638 944 8638 801
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 21.00 21.00
	 8118 1088 8907 1088
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 21.00 21.00
	 8495 693 8495 1482
-6
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 9600 1575 605 605 9600 1575 10200 1650
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 9825 1425 75 75 9825 1425 9750 1425
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 9375 1425 75 75 9375 1425 9450 1425
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 7800 375 11325 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7800 375 10800 375 10800 2475 7800 2475 7800 375
3 2 0 1 0 7 50 -1 -1 0.000 0 0 0 3
	 9300 1800 9600 2025 9900 1800
	 0.000 -1.000 0.000
-6
6 4125 375 6525 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4125 375 4725 375 4725 975 4125 975 4125 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4725 375 5325 375 5325 975 4725 975 4725 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5325 375 5925 375 5925 975 5325 975 5325 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5925 375 6525 375 6525 975 5925 975 5925 375
-6
6 4125 975 6525 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4125 975 4725 975 4725 1575 4125 1575 4125 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4725 975 5325 975 5325 1575 4725 1575 4725 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5325 975 5925 975 5925 1575 5325 1575 5325 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5925 975 6525 975 6525 1575 5925 1575 5925 975
-6
6 4125 1575 6525 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4125 1575 4725 1575 4725 2175 4125 2175 4125 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4725 1575 5325 1575 5325 2175 4725 2175 4725 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5325 1575 5925 1575 5925 2175 5325 2175 5325 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5925 1575 6525 1575 6525 2175 5925 2175 5925 1575
-6
6 6825 1650 7575 1950
4 0 0 50 -1 0 12 0.0000 2 180 690 6825 1875 $\\hat x$\001
-6
6 4125 2175 6525 2775
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4125 2175 4725 2175 4725 2775 4125 2775 4125 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4725 2175 5325 2175 5325 2775 4725 2775 4725 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5325 2175 5925 2175 5925 2775 5325 2775 5325 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 5925 2175 6525 2175 6525 2775 5925 2775 5925 2175
-6
6 4125 375 5768 1275
3 2 1 1 0 7 50 -1 -1 4.000 0 0 0 12
	 5690 375 5611 570 5729 805 5690 1001 5573 1158 5377 1197
	 5181 1158 4985 1158 4751 1236 4516 1158 4282 1236 4125 1236
	 0.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000
	 -1.000 -1.000 -1.000 0.000
-6
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 7800 375 7800 3000
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 6525 375 8775 825
2 1 2 1 0 7 50 -1 -1 4.000 0 0 -1 0 0 2
	 6525 2775 8775 1350
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 2625 1950 5550 1200
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 3000 375 4125 375
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 5325 225 5325 3225
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 3975 1575 7050 1575
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 2400 375 3000 375 2925 375
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2400 1575 3000 1575
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 1200 1575 1200 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 0 1575 0 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2400 1575 2400 1950
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 1350 975 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 1800 525 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 2118 657 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 2250 975 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 2118 1293 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 1800 1425 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 1482 1293 1800 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 1482 657 1800 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1200 375 2400 375 2400 1575 1200 1575 1200 375
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 150 975 600 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 600 525 600 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 1050 975 600 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 918 1293 600 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 600 1425 600 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 282 1293 600 975
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 282 657 600 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 0 375 1200 375 1200 1575 0 1575 0 375
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 918 657 600 975
3 2 1 1 0 7 50 -1 -1 4.000 0 0 0 12
	 3000 375 2850 750 3075 1200 3000 1575 2775 1875 2400 1950
	 2025 1875 1650 1875 1200 2025 750 1875 300 2025 0 2025
	 0.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000
	 -1.000 -1.000 -1.000 0.000
4 0 0 50 -1 0 12 0.0000 2 210 315 7950 2925 $y$\001
4 0 0 50 -1 0 12 0.0000 2 180 315 11025 675 $x$\001
4 1 0 50 -1 0 12 0.0000 2 150 105 6075 1800 1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 5175 2025 1\001
4 0 0 50 -1 0 12 0.0000 2 210 690 5475 3150 $\\hat y$\001
4 0 0 50 -1 0 12 0.0000 2 150 105 975 1200 0\001
4 0 0 50 -1 0 12 0.0000 2 150 105 825 1500 1\001
4 0 0 50 -1 0 12 0.0000 2 150 105 450 1500 2\001
4 0 0 50 -1 0 12 0.0000 2 150 105 150 1275 3\001
4 0 0 50 -1 0 12 0.0000 2 150 105 75 900 4\001
4 0 0 50 -1 0 12 0.0000 2 150 105 675 600 6\001
4 0 0 50 -1 0 12 0.0000 2 150 105 975 750 7\001
4 0 0 50 -1 0 12 0.0000 2 150 105 300 600 5\001
4 0 0 50 -1 0 12 0.0000 2 150 105 2250 1200 8\001
4 0 0 50 -1 0 12 0.0000 2 150 105 2025 1500 9\001
4 0 0 50 -1 0 12 0.0000 2 15 180 1575 1500 ...\001
4 1 0 50 -1 0 12 0.0000 2 195 525 9375 150 image\001
4 1 0 50 -1 0 12 0.0000 2 195 1740 5325 150 descriptor geometry\001
4 0 0 50 -1 0 12 0.0000 2 150 2205 0 150 bin indexes when stacked\001
-6
vlfeat-0.9.16/docsrc/figures/sift-conv.fig000066400000000000000000000066611203326130700204160ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
6 3300 3000 6150 4950
6 3300 3000 5100 4950
5 1 0 1 0 7 50 -1 -1 0.000 0 0 1 0 3405.263 4191.053 4425 4200 4366 4533 4350 4575
	1 1 1.00 60.00 120.00
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 3450 4200 3450 3075
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 3450 4200 4650 4725
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 120.00
	 3450 4200 4650 4200
4 1 0 50 -1 0 12 0.0000 2 180 735 4650 4125 $x'=x$
\001
4 1 0 50 -1 0 12 0.0000 2 180 315 4500 4875 $v$\001
4 0 0 50 -1 0 12 0.0000 2 210 645 3600 3300 $y'=-y$\001
-6
4 0 0 50 -1 0 12 0.0000 2 180 1560 4575 4425 $\\theta' = - \\theta$\001
-6
6 6525 2925 9675 5025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 3
	 8925 4650 9525 4650 9450 4650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8925 3450 9525 3450
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 7725 3450 7725 3000
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 6525 3450 6525 3000
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 8925 3450 8925 3075
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 7875 4050 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8325 4500 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8643 4368 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8775 4050 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8643 3732 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8325 3600 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8007 3732 8325 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 8007 4368 8325 4050
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7725 4650 8925 4650 8925 3450 7725 3450 7725 4650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 6675 4050 7125 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 7125 4500 7125 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 7575 4050 7125 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 7443 3732 7125 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 7125 3600 7125 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 6807 3732 7125 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 6807 4368 7125 4050
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 6525 4650 7725 4650 7725 3450 6525 3450 6525 4650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 1 2
	1 1 1.00 60.00 120.00
	 7443 4368 7125 4050
3 2 1 1 0 7 50 -1 -1 4.000 0 0 0 12
	 9525 4650 9375 4275 9600 3825 9525 3450 9300 3150 8925 3075
	 8550 3150 8175 3150 7725 3000 7275 3150 6825 3000 6525 3000
	 0.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000 -1.000
	 -1.000 -1.000 -1.000 0.000
4 0 0 50 -1 0 12 6.2832 2 150 105 7500 3975 0\001
4 0 0 50 -1 0 12 6.2832 2 150 105 7350 3675 1\001
4 0 0 50 -1 0 12 6.2832 2 150 105 6975 3675 2\001
4 0 0 50 -1 0 12 6.2832 2 150 105 6675 3900 3\001
4 0 0 50 -1 0 12 6.2832 2 150 105 6600 4275 4\001
4 0 0 50 -1 0 12 6.2832 2 150 105 7200 4575 6\001
4 0 0 50 -1 0 12 6.2832 2 150 105 7500 4425 7\001
4 0 0 50 -1 0 12 6.2832 2 150 105 6825 4575 5\001
4 0 0 50 -1 0 12 6.2832 2 150 105 8775 3975 8\001
4 0 0 50 -1 0 12 6.2832 2 150 105 8550 3675 9\001
4 0 0 50 -1 0 12 6.2832 2 15 180 8100 3540 ...\001
4 0 0 50 -1 0 12 6.2832 2 150 2205 6525 5025 bin indexes when stacked\001
-6
vlfeat-0.9.16/docsrc/figures/sift-descr-easy.fig000066400000000000000000000402601203326130700215010ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Portrait
Center
Inches
Letter  
76.90
Single
-2
1200 2
6 0 0 11700 2850
6 75 2175 2475 2775
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 75 2175 675 2175 675 2775 75 2775 75 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 675 2175 1275 2175 1275 2775 675 2775 675 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1275 2175 1875 2175 1875 2775 1275 2775 1275 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1875 2175 2475 2175 2475 2775 1875 2775 1875 2175
-6
6 150 450 600 900
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 600 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 454 596
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 375 450
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 263 564
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 225 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 154 894
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 375 825
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 675 534 834
-6
6 75 375 2475 2175
6 75 375 2475 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 75 375 675 375 675 975 75 975 75 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 675 375 1275 375 1275 975 675 975 675 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1275 375 1875 375 1875 975 1275 975 1275 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1875 375 2475 375 2475 975 1875 975 1875 375
-6
6 75 975 2475 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 75 975 675 975 675 1575 75 1575 75 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 675 975 1275 975 1275 1575 675 1575 675 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1275 975 1875 975 1875 1575 1275 1575 1275 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1875 975 2475 975 2475 1575 1875 1575 1875 975
-6
6 75 1575 2475 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 75 1575 675 1575 675 2175 75 2175 75 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 675 1575 1275 1575 1275 2175 675 2175 675 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1275 1575 1875 1575 1875 2175 1275 2175 1275 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1875 1575 2475 1575 2475 2175 1875 2175 1875 1575
-6
-6
6 7500 2175 9900 2775
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7500 2175 8100 2175 8100 2775 7500 2775 7500 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8100 2175 8700 2175 8700 2775 8100 2775 8100 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8700 2175 9300 2175 9300 2775 8700 2775 8700 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 9300 2175 9900 2175 9900 2775 9300 2775 9300 2175
-6
6 7500 375 9900 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7500 375 8100 375 8100 975 7500 975 7500 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8100 375 8700 375 8700 975 8100 975 8100 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8700 375 9300 375 9300 975 8700 975 8700 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 9300 375 9900 375 9900 975 9300 975 9300 375
-6
6 3075 0 7275 2775
6 3075 2175 5475 2775
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3075 2175 3675 2175 3675 2775 3075 2775 3075 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3675 2175 4275 2175 4275 2775 3675 2775 3675 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4275 2175 4875 2175 4875 2775 4275 2775 4275 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4875 2175 5475 2175 5475 2775 4875 2775 4875 2175
-6
6 3075 1575 5475 2175
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3075 1575 3675 1575 3675 2175 3075 2175 3075 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3675 1575 4275 1575 4275 2175 3675 2175 3675 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4275 1575 4875 1575 4875 2175 4275 2175 4275 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4875 1575 5475 1575 5475 2175 4875 2175 4875 1575
-6
6 3075 975 5475 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3075 975 3675 975 3675 1575 3075 1575 3075 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3675 975 4275 975 4275 1575 3675 1575 3675 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4275 975 4875 975 4875 1575 4275 1575 4275 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4875 975 5475 975 5475 1575 4875 1575 4875 975
-6
6 3075 375 5475 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3075 375 3675 375 3675 975 3075 975 3075 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3675 375 4275 375 4275 975 3675 975 3675 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4275 375 4875 375 4875 975 4275 975 4275 375
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4875 375 5475 375 5475 975 4875 975 4875 375
-6
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 4275 1575 168 168 4275 1575 4425 1650
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 4275 1425 5850 1425
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 5475 1575 5850 1575
2 1 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 2
	 5850 1575 5850 1425
2 1 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 2
	 5700 1575 5700 975
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 5475 975 5700 975
4 1 0 50 -1 0 12 0.0000 2 195 1710 4275 150 magnification factor\001
4 0 0 50 -1 0 12 0.0000 2 195 1230 6000 1575 keypoint scale\001
4 0 0 50 -1 0 12 0.0000 2 150 630 5775 1125 bin size\001
-6
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 8700 1575 168 168 8700 1575 8850 1650
1 3 0 2 0 7 50 -1 -1 4.500 1 0.0000 8700 1575 1221 1221 8700 1575 9900 1800
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 600 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 454 1196
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 375 1125
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 263 1164
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 150 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 225 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 375 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1275 534 1434
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 525 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 454 1796
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 375 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 263 1764
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 150 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 225 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 375 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 1875 534 2034
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 1200 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 1054 1796
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 975 1725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 863 1764
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 825 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 825 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 975 2100
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1875 1134 2034
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1800 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1654 1796
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1575 1725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1463 1764
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1425 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1425 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1575 2100
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1875 1734 2034
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 1200 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 1054 2396
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 975 2325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 863 2364
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 825 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 825 2625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 975 2700
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 2475 1134 2634
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 525 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 454 2396
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 375 2325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 263 2364
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 225 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 225 2625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 375 2625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 375 2475 534 2634
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2400 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2254 2396
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2175 2250
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2063 2364
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2025 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2100 2550
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2175 2625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 2475 2250 2550
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2325 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2254 1196
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2175 1200
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2063 1164
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2025 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2025 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2175 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1275 2250 1350
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2250 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2254 1796
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2175 1725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2063 1764
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2025 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2025 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2175 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 1875 2250 1950
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1800 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1654 1196
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1575 1050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1463 1164
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1425 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1354 1494
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1575 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 1275 1734 1434
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1800 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1654 596
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1575 450
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1463 564
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1425 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1425 825
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1575 900
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 675 1734 834
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2325 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2254 596
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2175 600
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2063 564
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2025 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2100 750
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2175 825
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 2175 675 2250 750
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 1200 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 1054 1196
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 975 1050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 863 1164
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 825 1275
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 825 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 975 1425
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 1275 1134 1434
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 1200 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 1054 596
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 975 525
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 863 564
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 825 675
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 825 825
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 975 825
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 975 675 1134 834
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1800 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1654 2396
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1575 2325
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1463 2364
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1425 2475
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1425 2625
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1575 2775
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 1.00 60.00 60.00
	 1575 2475 1734 2634
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 9900 975 10275 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7500 1575 8100 1575 8100 2175 7500 2175 7500 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8100 1575 8700 1575 8700 2175 8100 2175 8100 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8700 1575 9300 1575 9300 2175 8700 2175 8700 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 9300 1575 9900 1575 9900 2175 9300 2175 9300 1575
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7500 975 8100 975 8100 1575 7500 1575 7500 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8100 975 8700 975 8700 1575 8100 1575 8100 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8700 975 9300 975 9300 1575 8700 1575 8700 975
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 9300 975 9900 975 9900 1575 9300 1575 9300 975
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 8700 375 10050 375
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 8700 1575 10275 1575
2 1 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 2
	 10275 1575 10275 975
2 1 0 2 0 7 50 -1 -1 4.500 0 0 -1 0 0 2
	 10050 1575 10050 375
4 1 0 50 -1 0 12 0.0000 2 195 2535 1275 150 Spatial histogram of gradients\001
4 0 0 50 -1 0 12 0.0000 2 150 630 10350 1575 bin size\001
4 0 0 50 -1 0 12 0.0000 2 150 1455 10200 525 Gausian window\001
4 1 0 50 -1 0 12 0.0000 2 150 1545 8700 150 Gaussian window\001
-6
vlfeat-0.9.16/docsrc/figures/sift-frame.fig000066400000000000000000000023121203326130700205300ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
5 1 0 2 0 7 50 -1 -1 0.000 0 0 1 0 2191.221 2007.241 3225 2025 3105 2491 3070 2552
	2 1 4.00 60.00 60.00
6 1350 375 6225 4050
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 121.21 121.21
	 1451 476 1451 4011
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 121.21 121.21
	 1451 476 6199 476
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 1451 476 5700 476 5700 3600 1451 3600 1451 476
4 0 0 50 -1 0 12 0.0000 2 210 315 1653 3910 $y$\001
4 0 0 50 -1 0 12 0.0000 2 180 315 5795 880 $x$\001
-6
1 3 0 2 0 7 50 -1 -1 0.000 1 0.0000 2250 2025 382 382 2250 2025 2632 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2250 2025 3450 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2325 2025 3750 2025
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2250 1350 2625 1350
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2625 2025 2625 1200
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2250 2025 2250 1200
3 0 0 4 0 7 50 -1 -1 0.000 0 1 0 2
	2 1 4.00 60.00 45.00
	 2250 2025 2550 2250
	 0.000 0.000
4 0 0 50 -1 0 12 0.0000 2 195 465 3300 2400 angle\001
4 1 0 50 -1 0 12 0.0000 2 150 450 2475 1200 scale\001
4 1 0 50 -1 0 12 0.0000 2 195 525 3600 375 image\001
vlfeat-0.9.16/docsrc/figures/sift-image-frame.fig000066400000000000000000000114661203326130700216220ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
6 2550 1800 4950 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 1800 3150 1800 3150 2400 2550 2400 2550 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 1800 3750 1800 3750 2400 3150 2400 3150 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 1800 4350 1800 4350 2400 3750 2400 3750 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 1800 4950 1800 4950 2400 4350 2400 4350 1800
-6
6 2550 2400 4950 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 2400 3150 2400 3150 3000 2550 3000 2550 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 2400 3750 2400 3750 3000 3150 3000 3150 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 2400 4350 2400 4350 3000 3750 3000 3750 2400
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 2400 4950 2400 4950 3000 4350 3000 4350 2400
-6
6 2550 3000 4950 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 3000 3150 3000 3150 3600 2550 3600 2550 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 3000 3750 3000 3750 3600 3150 3600 3150 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 3000 4350 3000 4350 3600 3750 3600 3750 3000
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 3000 4950 3000 4950 3600 4350 3600 4350 3000
-6
6 2550 3600 4950 4200
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 2550 3600 3150 3600 3150 4200 2550 4200 2550 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3150 3600 3750 3600 3750 4200 3150 4200 3150 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 3750 3600 4350 3600 4350 4200 3750 4200 3750 3600
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 4350 3600 4950 3600 4950 4200 4350 4200 4350 3600
-6
6 7650 2100 8475 2925
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7758 2656 7901 2656 7901 2799 7758 2799 7758 2656
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7901 2656 8045 2656 8045 2799 7901 2799 7901 2656
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8045 2656 8188 2656 8188 2799 8045 2799 8045 2656
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8188 2656 8332 2656 8332 2799 8188 2799 8188 2656
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7758 2513 7901 2513 7901 2656 7758 2656 7758 2513
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7901 2513 8045 2513 8045 2656 7901 2656 7901 2513
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8045 2513 8188 2513 8188 2656 8045 2656 8045 2513
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8188 2513 8332 2513 8332 2656 8188 2656 8188 2513
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7758 2369 7901 2369 7901 2513 7758 2513 7758 2369
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7901 2369 8045 2369 8045 2513 7901 2513 7901 2369
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8045 2369 8188 2369 8188 2513 8045 2513 8045 2369
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8188 2369 8332 2369 8332 2513 8188 2513 8188 2369
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7758 2226 7901 2226 7901 2369 7758 2369 7758 2226
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7901 2226 8045 2226 8045 2369 7901 2369 7901 2226
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8045 2226 8188 2226 8188 2369 8045 2369 8045 2226
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 8188 2226 8332 2226 8332 2369 8188 2369 8188 2226
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 21.00 21.00
	 7668 2513 8457 2513
2 1 0 2 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 21.00 21.00
	 8045 2118 8045 2907
-6
6 5025 975 7500 1425
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 4.00 60.00 120.00
	 5100 1350 7425 1350
4 0 0 50 -1 0 12 0.0000 2 210 720 5925 1200 $(A,T)$\001
-6
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1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 9375 2850 75 75 9375 2850 9300 2850
1 3 0 1 0 7 50 -1 -1 0.000 1 0.0000 8925 2850 75 75 8925 2850 9000 2850
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1 4 0 1 0 0 50 -1 20 0.000 1 0.0000 8250 2325 36 36 8214 2325 8286 2325
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 7350 1800 7350 4425
2 1 2 1 0 7 50 -1 -1 3.000 0 0 -1 0 0 2
	 4950 1800 8325 2250
2 1 2 1 0 7 50 -1 -1 4.000 0 0 -1 0 0 2
	 4950 4200 8325 2775
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 3750 1350 3750 4650
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 2175 3000 5475 3000
2 1 0 3 0 7 50 -1 -1 0.000 0 0 -1 1 0 2
	1 1 5.00 90.00 90.00
	 7350 1800 10875 1800
2 2 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 5
	 7350 1800 10350 1800 10350 3900 7350 3900 7350 1800
3 2 0 1 0 7 50 -1 -1 0.000 0 0 0 3
	 8850 3225 9150 3450 9450 3225
	 0.000 -1.000 0.000
4 0 0 50 -1 0 12 0.0000 2 210 315 7500 4350 $y$\001
4 0 0 50 -1 0 12 0.0000 2 180 315 10575 2100 $x$\001
4 0 0 50 -1 0 12 0.0000 2 210 690 3900 4575 $\\hat y$\001
4 0 0 50 -1 0 12 0.0000 2 180 690 5250 3300 $\\hat x$\001
4 0 0 50 -1 0 12 0.0000 2 195 1080 7350 1650 image frame\001
4 0 0 50 -1 0 12 0.0000 2 210 1515 4725 2100 $\\hat\\mathbf{x}$\001
4 0 0 50 -1 0 12 0.0000 2 210 1185 8400 2325 $\\mathbf{x}$\001
vlfeat-0.9.16/docsrc/figures/sift-orient.fig000066400000000000000000000025321203326130700207420ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5-alpha5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
1 3 0 1 0 7 48 -1 -1 3.000 1 0.0000 1650 2400 375 375 1650 2400 1950 2625
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2 1 0 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 2250 2100 2700 2100
2 1 0 3 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2250 2400 2700 2400
2 1 0 2 0 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 120.00 240.00
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2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 5100 2700 5100 2550
2 1 0 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 3
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2 1 2 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
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2 1 2 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 5550 1875 7650 1875
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	 5100 2400 5325 2025 5550 1800 5925 2025 6225 2325 6375 2325
	 6450 2250 6600 2325 6750 2325 6975 1950 7200 1800 7650 2400
	 0.000 1.000 1.000 1.000 1.000 1.000 1.000 1.000
	 1.000 1.000 1.000 0.000
4 0 0 48 -1 0 12 0.0000 2 210 2100 2850 2475 Keypoint scale $\\sigma$\001
4 0 0 48 -1 0 12 0.0000 2 195 1155 2850 2175 Polling region\001
4 1 0 48 -1 0 12 0.0000 2 150 105 5100 3000 0\001
4 1 0 48 -1 0 12 0.0000 2 210 525 7500 3000 $2\\pi$\001
4 0 0 48 -1 0 12 0.0000 2 210 795 5250 3000 $2\\pi/36$\001
4 0 0 48 -1 0 12 0.0000 2 105 375 7800 1800 max\001
4 0 0 48 -1 0 12 0.0000 2 150 870 7800 2055 80\\% max\001
vlfeat-0.9.16/docsrc/figures/sift-ss.fig000066400000000000000000000164531203326130700200760ustar00rootroot00000000000000#FIG 3.2  Produced by xfig version 3.2.5-alpha5
Landscape
Center
Inches
Letter  
100.00
Single
-2
1200 2
6 1875 3000 2325 3150
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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	 1950 3075 2100 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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	 2250 3075 2100 3075
-6
6 2175 3000 2625 3150
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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	 2250 3075 2400 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
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-6
6 2475 3000 2925 3150
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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-6
6 4275 2925 5625 3075
6 4275 2925 4725 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4350 3000 4500 3000
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4650 3000 4500 3000
-6
6 5175 2925 5625 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 5250 3000 5400 3000
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 5550 3000 5400 3000
-6
6 4575 2925 5025 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4650 3000 4800 3000
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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	 4950 3000 4800 3000
-6
6 4875 2925 5325 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4950 3000 5100 3000
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 5250 3000 5100 3000
-6
-6
6 4050 2325 5775 2475
4 1 0 50 -1 0 12 0.0000 2 150 165 4200 2475 -1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 4500 2475 0\001
4 1 0 50 -1 0 12 0.0000 2 150 105 4800 2475 1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 5100 2475 2\001
4 1 0 50 -1 0 12 0.0000 2 150 105 5400 2475 3\001
4 1 0 50 -1 0 12 0.0000 2 150 105 5700 2475 4\001
-6
6 4050 1875 4500 2025
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4125 1950 4275 1950
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
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	 4425 1950 4275 1950
-6
6 2775 3000 3225 3150
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 2850 3075 3000 3075
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 3150 3075 3000 3075
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6 2850 3225 4575 3375
4 1 0 50 -1 0 12 0.0000 2 150 165 3000 3375 -1\001
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4 1 0 50 -1 0 12 0.0000 2 150 105 3600 3375 1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 3900 3375 2\001
4 1 0 50 -1 0 12 0.0000 2 150 105 4200 3375 3\001
4 1 0 50 -1 0 12 0.0000 2 150 105 4500 3375 4\001
-6
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 1950 3075 1950 1875
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2250 3075 2250 1875
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2550 3075 2550 1875
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2850 3075 2850 1875
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 3150 3075 3150 1875
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4200 2550 4200 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4500 2550 4500 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4800 2550 4800 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 5100 2550 5100 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 5400 2550 5400 2850
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 5700 2550 5700 2850
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4650 3000 4650 2700
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4950 3000 4950 2700
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 5250 3000 5250 2700
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 5550 3000 5550 2700
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4350 3000 4350 2700
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4350 3000 4350 2700
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3000 3450 3000 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3300 3450 3300 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3600 3450 3600 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3900 3450 3900 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4200 3450 4200 4050
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4500 3450 4500 4050
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 3150 4200 3150 3600
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 3450 4200 3450 3600
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4050 4200 4050 3600
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4350 4200 4350 3600
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 3150 4200 3300 4200
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 3450 4200 3300 4200
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 3450 4200 3600 4200
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 3750 4200 3750 3600
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 3750 4200 3600 4200
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 3750 4200 3900 4200
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4050 4200 3900 4200
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4050 4200 4200 4200
2 1 0 2 14 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 45.00 45.00
	 4350 4200 4200 4200
2 1 0 2 1 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4425 1725 4125 1725
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 4425 1500 4125 1500
2 1 0 2 0 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 75.00 150.00
	 450 600 6150 600
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 1800 2850 1800 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2100 2850 2100 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2400 2850 2400 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 2700 2850 2700 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3000 2850 3000 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 3300 2850 3300 1650
2 1 0 1 0 7 50 -1 -1 0.000 0 0 -1 0 0 2
	 750 2850 750 1650
2 1 0 2 0 7 48 -1 -1 0.000 0 0 -1 1 0 2
	1 1 2.00 75.00 150.00
	 450 1050 6150 1050
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 2100 1050 2100 900
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 3300 1050 3300 900
2 1 0 1 0 7 48 -1 -1 0.000 0 0 -1 0 0 2
	 4500 1050 4500 900
2 1 2 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 2100 900 2100 450
2 1 2 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 750 1650 750 450
2 1 0 1 0 7 48 -1 -1 3.000 0 0 -1 0 0 2
	 2400 1050 2400 975
4 0 0 48 -1 0 12 0.0000 2 150 465 4500 1800 DOG\001
4 0 0 48 -1 0 12 0.0000 2 150 2205 4500 2025 DOG extrema calculation\001
4 0 0 48 -1 0 12 0.0000 2 150 405 4500 1575 GSS\001
4 1 0 50 -1 0 12 0.0000 2 150 165 1800 1575 -1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 2100 1575 0\001
4 1 0 50 -1 0 12 0.0000 2 150 105 2400 1575 1\001
4 1 0 50 -1 0 12 0.0000 2 150 105 2700 1575 2\001
4 1 0 50 -1 0 12 0.0000 2 150 105 3000 1575 3\001
4 1 0 50 -1 0 12 0.0000 2 150 105 3300 1575 4\001
4 1 0 48 -1 0 12 0.0000 2 150 105 2100 825 0\001
4 1 0 48 -1 0 12 0.0000 2 150 105 3300 825 1\001
4 1 0 48 -1 0 12 0.0000 2 150 105 4500 825 2\001
4 1 0 48 -1 0 12 0.0000 2 195 990 750 3075 input image\001
4 0 0 48 -1 0 12 0.0000 2 210 3135 6225 675 $\\sigma(o,s) = \\sigma_0 2^{o+s/S}$\001
4 0 0 48 -1 0 12 0.0000 2 210 1605 6225 1125 $o$ (octave index)\001
4 1 0 48 -1 0 12 0.0000 2 210 2700 2100 300 $\\sigma_0 = 1.6 \\cdot 2^{1/S}$\001
4 1 0 48 -1 0 12 0.0000 2 210 1470 750 300 $\\sigma_n = 0.5$\001
4 0 0 48 -1 0 12 0.0000 2 210 1455 6000 2475 $s$ (scale index)\001
4 0 0 48 -1 0 12 0.0000 2 210 2040 5025 3450 $s_\\mathrm{min} = -1$\001
4 0 0 48 -1 0 12 0.0000 2 210 2280 5025 3675 $s_\\mathrm{max} = S+2$\001
4 0 0 48 -1 0 12 0.0000 2 180 645 5025 3900 $S = 3$\001
4 0 0 48 -1 0 12 0.0000 2 180 675 5025 4125 $O = 3$\001
4 0 0 48 -1 0 12 0.0000 2 210 1905 5025 4350 $o_\\mathrm{min}=0$\001
4 1 0 48 -1 0 12 0.0000 2 195 495 2400 900 $1/S$\001
vlfeat-0.9.16/docsrc/formatter.py000066400000000000000000000423711203326130700167260ustar00rootroot00000000000000#!/usr/bin/python
# file:        formatter.py
# author:      Andrea Vedaldi
# description: Utility to format MATLAB comments.

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

"""
MDOC fromats the help block of a MATLAB M-file based on a simple set
of rules. Pharagraphs, verbatim sections, lists and other structures
are automatically instantiated by looking at blank lines, indentation
and a few decoration symbols.

The documentation starts at a conventional indentation level N (by
default 2). A block of non-epmty lines prefixed by N characters is
considered a paragraph. For instance

 |  Bla bla bla
 |  bla bla bla.
 |
 |  Bla bla.

generates two pharagraps. If there are more than N white spaces,
then the block is taken verbatim instead (and rendered in 
 HTML
tags). For instance

 |  Bla bla bla
 |   Code Code Code
 |
 |   Code Code Code

generates one paragraph followed by one verbatim section.
"""

import xml.dom.minidom
import sys
import os
import re

__mpname__           = 'MDocFormatter'
__version__          = '0.1'
__date__             = '2008-01-01'
__description__      = 'MDoc formatting module'
__long_description__ = __doc__
__license__          = 'BSD'
__author__           = 'Andrea Vedaldi'

# terminal
class Terminal:
    def isa(self, classinfo):
        return isinstance(self, classinfo)

# empty terminal
class E (Terminal):
    pass

# blank line
class B (Terminal):
    content = ""

# non-blank line
class L (Terminal):
    indent  = 0

# regular line
class PL (L):
    pass

# line with bullet
class BL (L):
    bullet = None
    inner_indent = 0

# line with description
class DL (L):
    pass

# --------------------------------------------------------------------
def lex(line):
# --------------------------------------------------------------------
    """
    Parse the string LINE to a terminal symbol. Each line corresponds
    to exactly one terminal type. Terminal types are the leaf of a
    hierarchy of types.
    """

    # a blank line
    match = re.match(r"\s*\n?$", line) ;
    if match: return B()

    # a line of the type '  content::inner_content'
    match = re.match(r"(\s*)(.*)::(.*)\n?$", line)
    if match:
        x = DL()
        x.indent        = len(match.group(1))
        x.content       = match.group(2)
        x.inner_content = match.group(3)
        return x

    # a line of the type '  - inner_contet'
    match = re.match(r"(\s*)([-\*#]\s*)(\S.*)\n?$", line)
    if match:
        x = BL()
        x.indent        = len(match.group(1))
        x.inner_content = match.group(3)
        x.bullet        = match.group(2)
        x.inner_indent  = x.indent + len(x.bullet)
        x.content       = x.bullet + x.inner_content
        return x

    # a line of the type  '   content'
    match = re.match(r"(\s*)(\S.*)\n?$", line)
    if match:
        x = PL()
        x.indent  = len(match.group(1))
        x.content = match.group(2)
        return x

# --------------------------------------------------------------------
class Lexer(object):
# --------------------------------------------------------------------
    """
    l = Lexer(LINES) parses the array of strings LINES. Lexer has a
    head pointing to the current line. The head can be controlled by
    the following methods:

    l.next() advances the head and fetches the next terminal.
    l.back() moves back the head.
    l.getpos() returns the head position.
    l.seek(POS) sets the head position to POS.
    """
    def __init__(self, lines):
        self.tokens = []
        self.pos    = -1
        for line in lines:
            self.tokens.append(lex(line))

    def next(self):
        self.pos = self.pos + 1
        if self.pos >= len(self.tokens):
            return E()
        else:
            return self.tokens [self.pos]

    def seek(self, pos):
        self.pos = pos

    def back(self):
        if self.pos >=0: self.pos -= 1

    def rewrite(self, str):
        self.tokens [self.pos] = str ;

    def getpos(self):
        return self.pos

    def __str__(self):
        str = ""
        for i,t in enumerate(self.tokens):
             str += "%5d) %s %s\n" % (i, t.__class__.__name__,t.content)
        return str

# --------------------------------------------------------------------
class Formatter:
# --------------------------------------------------------------------
    """
    f = Formatter(LINES) parse the array of strings LINES.

    f = Formatter(LINES, FUNCS) takes the dictionary of functions
    FUNCS. Function names must be uppercase. The dictionary entries
    are used to cross link functions in the generated documentation.

    Formatter(LINES, FUNCS, LINKTYPE) produces links of the specified
    type.  Use 'a' for HTML anchors and 'wiki' for MediaWiki style
    links.

    f.toDOM() process the data to construct an XML (HTML) representation
    of them.
    """
    def __init__ (self, lines, funcs={}, linktype='a'):
        self.indentinit = 0
        lineone = lines[0]
        while lineone.startswith(' '):
            lineone = lineone[1:]
            self.indentinit += 1

        self.tokens = Lexer(lines)
        self.xmldoc = xml.dom.minidom.Document()
        self.funcs = funcs
        self.linktype = linktype
        #print self.tokens

    def toTextNode(self,s):
        return self.xmldoc.createTextNode(unicode(s, 'iso-8859-1'))

    def addAttr(self, tag, attr, val):
        x = self.xmldoc.createAttribute(attr)
        x.nodeValue = val
        tag.setAttributeNode(x)

    def addText(self, tag, s):
        txt = self.toTextNode(s)
        tag.appendChild(txt)

    def addFancyText(self, tag, s):
        "Adds text while transforming function references to links."
        xs = []
        iter = re.finditer('([A-Z][A-Z0-9_]*)\([^\)]*\)', s)
        last = -1

        for i in iter:
            func_name = i.group(1)

            # lookup function name in dictionary
            if self.funcs.has_key(func_name.upper()):
                # retrieve function HTML location
                func_href = self.funcs[func_name.upper()]

                # add text so far
                xs.append(self.toTextNode(s[last+1:i.start()]))

                if self.linktype == 'a':
                    # add link to function
                    atag = self.xmldoc.createElement(u"a")
                    self.addText(atag, i.group(1))
                    atag.setAttribute(u"href", u"%s" % (func_href))
                    xs.append(atag)
                elif self.linktype == 'wiki':
                    linktxt = "[[%s|%s]]" % (func_href, i.group(1))
                    xs.append(self.toTextNode(linktxt))

                # set head
                last = i.start()+len(i.group(1))-1
            #else:
            #    print "function: %s not found" % func_name

        xs.append(self.toTextNode(s[last+1:]))
        for x in xs:
            tag.appendChild(x)

    # ................................................................
    # E, B, L, PL, BL, DL, ...
    def parse_Terminal(self, T):
        "If the next terminal on the stream is of type T, the terminal"
        "is extracted and returned. Otherwise the function returns None"
        pos = self.tokens.getpos()
        t = self.tokens.next()
        if t.isa(T):
            return t
        self.tokens.seek(pos)
        return None

    # ................................................................
    # DIV(N) -> (B | P(N) | BL(N) | DL(N) | V(N))+
    def parse_DIV(self, indent):
        "Parse a DIV(N) symbol. A DIV(N) a sequence of blank"
        "lines (B or other blocks at indentation level N, such as"
        "pharagraphs P(N), bullet lists BL(N), description lists DN(N)"
        pos = self.tokens.getpos()
        xs = []
        while True:
            x = self.parse_Terminal(B)
            if x: continue

            x = self.parse_P(indent)
            if x:
                xs.append(x)
                continue

            x = self.parse_V(indent)
            if x:
                xs.append(x)
                continue

            x = self.parse_UL(indent)
            if x:
                xs.append(x)
                continue

            x = self.parse_DL(indent)
            if x:
                xs.append(x)
                continue

            break
        if len(xs) == 0: return None
        return xs

    # ................................................................
    # P(N) -> PL(N) L(N)*
    def parse_P(self, indent):
        content = "\n"
        good = False
        pos = self.tokens.getpos()

        # Introduced by PL
        x = self.parse_Terminal(PL)
        if x:
            if x.indent == indent:
                content += x.content + "\n"
                good = True
            else:
                self.tokens.back()
        if not good:
            return None

        # Continued by zero or more L
        while True:
            x = self.parse_Terminal(L)
            if x:
                if x.indent == indent:
                    content += x.content + "\n"
                    good = True
                    continue
                else:
                    self.tokens.back()
            break

        ptag = self.xmldoc.createElement("p")
        self.addFancyText(ptag, content)
        return ptag

    # ................................................................
    # V(N) -> L(M)+, M > N
    def parse_V(self, indent):
        content = "\n"
        good = False
        pos = self.tokens.getpos()
        while True:
            x = self.parse_Terminal(L)
            if x:
                if x.indent > indent:
                    content += " "*(x.indent - indent) + x.content + "\n"
                    good = True
                    continue
                else:
                    self.tokens.back()
            x = self.parse_Terminal(B)
            if x:
                content += "\n"
                continue
            break
        if good:
            ptag = self.xmldoc.createElement("pre")
            # remove potential blank line at the end
            if content[-2:] == "\n\n":
                content= content[:-1]
            self.addText(ptag, content)
            return ptag
        self.tokens.seek(pos)
        return None

    # ................................................................
    # UL(N) -> ULI(N)+
    def parse_UL(self, indent):
        xs = []
        while True:
            x = self.parse_ULI(indent)
            if x:
                xs.append(x)
                continue
            break
        if len(xs) == 0: return None
        ultag = self.xmldoc.createElement("ul")
        for x in xs:
            ultag.appendChild(x)
        return ultag

    # ................................................................
    # ULI(N) -> UL(N,M) L(M)* DIV(M), M > N
    def parse_ULI(self, indent):
        content = "\n"
        good = False
        pos = self.tokens.getpos()

        # Introduced by UL
        x = self.parse_Terminal(BL)
        if x:
            if x.indent == indent:
                content += x.inner_content + "\n"
                indent   = x.inner_indent
                good = True
            else:
                self.tokens.back()
        if not good:
            return None

        # Continued by zero or more L
        while True:
            x = self.parse_Terminal(L)
            if x:
                if x.indent == indent:
                    content += x.content + "\n"
                    good = True
                    continue
                else:
                    self.tokens.back()
            break
        litag = self.xmldoc.createElement(u"li")
        ptag  = self.xmldoc.createElement(u"p")
        self.addFancyText(ptag, content)
        litag.appendChild(ptag)

        # Continued by DIV
        xs = self.parse_DIV(indent)
        if xs:
            for x in xs:
                litag.appendChild(x)

        return litag


    # ................................................................
    # DL(N) -> DI(N)+
    def parse_DL(self, indent):
        xs = []
        while True:
            x = self.parse_DI(indent)
            if x:
                xs += x
                continue
            break
        if len(xs) == 0: return None
        dltag = self.xmldoc.createElement(u"dl")
        for x in xs:
            dltag.appendChild(x)
        return dltag

    # ................................................................
    # DI(N) -> DL(N) DIV(M)?, M > N
    def parse_DI(self, indent):
        content = "\n"
        good   = False
        pos    = self.tokens.getpos()
        xs     = []

        # Introduced by DL
        x = self.parse_Terminal(DL)
        if x:
            if x.indent == indent:
                content += x.content + "\n"
                good = True
            else:
                self.tokens.back()
        if not good:
            return None

        if False:
            # adds text after :: as part of the description dd
            dttag = self.xmldoc.createElement(u"dt")
            dttxt = self.toTextNode(content)
            dttag.appendChild(dttxt)
            xs.append(dttag)

            # Inject inner_content
            c = x.inner_content.strip()
            if len(c) > 0:
                tk = PL()
                tk.content = x.inner_content
                t = self.tokens.next()
                self.tokens.back()
                if t.isa(L) and t.indent > indent:
                    tk.indent = t.indent
                else:
                    tk.indent = indent+1 ;
                    self.tokens.rewrite(tk)
                    self.tokens.back()
        else:
            # adds text after :: as part of the description term dt
            dttag = self.xmldoc.createElement(u"dt")
            dttxt = self.toTextNode(content)
            dttag.appendChild(dttxt)
            c = x.inner_content.strip()
            if len(c) > 0:
                deftag = self.xmldoc.createElement(u"span")
                self.addAttr(deftag, "class", "defaults")
                self.addText(deftag, c)
                dttag.appendChild(deftag)
            xs.append(dttag)

        # Continued by DIV
        t = self.tokens.next()
        self.tokens.back()
        if t.isa(L) and t.indent > indent:
            xs_ = self.parse_DIV(t.indent)
            if len(xs_) > 0:
                ddtag = self.xmldoc.createElement(u"dd")
                for x in xs_:
                    ddtag.appendChild(x)
                xs.append(ddtag)

        return xs

    # ................................................................
    def toDOM(self):
        # write 
        xmf = self.xmldoc.createElement("div")
        xmf.setAttribute(u"class", u"documentation")

        self.xmldoc.appendChild(xmf)

        # parse documentation
        xs = self.parse_DIV(self.indentinit)
        for x in xs: xmf.appendChild(x)

        return self.xmldoc


if __name__ == '__main__':
    text="""
 Lorem Ipsum is simply dummy text of the printing and typesetting
 industry. Lorem Ipsum has been the industry's standard dummy text
 ever since the 1500s, when an unknown printer took a galley of type
 and scrambled it to make a type specimen book. It has survived not
 only five centuries, but also the leap into electronic typesetting,
 remaining essentially unchanged. It was popularised in the 1960s with
 the release of Letraset sheets containing Lorem Ipsum passages, and
 more recently with desktop publishing software like Aldus PageMaker
 including versions of Lorem Ipsum.

 These are links BL(), BL(A,B) and BLA(A,A) (as long as the dictionary
 cites them).

 Mimamama
   verbatim1
   verbatim2
   verbatim3

   verbatim4
   verbatim5
 Lorem Ipsum is simply dummy text of the printing and typesetting
 industry. Lorem Ipsum has been the industry's standard dummy text
 ever since the 1500s, when an unknown printer took a galley of type
 and scrambled it to make a type specimen book. It has survived not
 only five centuries, but also the leap into electronic typesetting,
 remaining essentially unchanged. It was popularised in the 1960s with
 the release of Letraset sheets containing Lorem Ipsum passages, and
 more recently with desktop publishing software like Aldus PageMaker
 including versions of Lorem Ipsum.

 - outer1 /
   outer1 line 2 /
   outer1 line 3 /

   outer1 new paragarph

   - inner1
   - inner2
   - inner3
     continued on next line
       continued with verbatim

       more verbatim after blank
   - inner4
 - outer again
 - outer
 bla

 - list2
 - list4
 - BL()
 - BL(A,B)

 Test descrition::
     Lorem Ipsum is simply dummy text of the printing
     and typesetting industry. Lorem Ipsum has been the industry's
     standard dummy text ever since the 1500s, when an unknown printer
     took a galley of type and scrambled it to make a type specimen
     book. It has survived not only five centuries, but also the leap
     into electronic typesetting, remaining essentially unchanged. It
     was popularised in the 1960s with the release of Letraset sheets
     containing Lorem Ipsum passages, and more recently with desktop
     publishing software like Aldus PageMaker including versions of
     Lorem Ipsum.

 Ancora::
     Bli bli bli
     Blu blu blu

     - list
     - lust
     - last

     Bli bla

  Verbatimmo
"""
    lines = text.splitlines()
    formatter = Formatter(lines, {'BL':'http://www.google.com'}, 'a')
    print formatter.toDOM().toxml("UTF-8")
vlfeat-0.9.16/docsrc/hikm.html000066400000000000000000000076011203326130700161640ustar00rootroot00000000000000




VLFeat offers a hierarchical version of integer k-means, which
recursively applies vl_ikmeans to compute finer and finer
partitions. For more details see 
Hierarchical Integer
  k-means API reference and the Integer
  k-means tutorial.

 





Usage




First, we generate some random data to cluster in [0,255]^2:



data     = uint8(rand(2,10000) * 255) ;
datat    = uint8(rand(2,100000)* 255) ;



To cluster this data, we simply use vl_hikmeans:



K        = 3 ;
nleaves  = 100 ;
[tree,A] = vl_hikmeans(data,K,nleaves) ;



Here nleaves is the desired number of leaf
clusters. The algorithm terminates when there are at least
nleaves nodes, creating a tree with depth =
  floor(log(K nleaves))



To assign labels to the new data, we use vl_hikmeanspush:



AT       = vl_hikmeanspush(tree,datat) ;









Hierarchical integer K-means.  Left: A depiction of the
recursive clusters. Each node is a cluster center. The root note is
not depicted (its center would be the mean of the dataset).  Right:
Clusters are represented as different colors (here are more than 100
clusters, but only three colors are used).








Tree structure




The output tree is a MATLAB structure representing the tree of
clusters:



> tree
tree =
 
          K: 3
      depth: 5
    centers: [2x3 int32]
        sub: [1x3 struct]



The field centers is the matrix of the cluster centers at the
root node.  If the depth of the tree is larger than 1, then the field
sub is a structure array with one entry for each cluster. Each
element is in turn a tree:



> tree.sub
ans = 

1x3 struct array with fields:
    centers
    sub



with a field centers for its clusters and a field
sub for its children. When there are no children, this
field is equal to the empty matrix



> tree.sub(1).sub(1).sub(1).sub(1)

ans = 

    centers: [2x3 int32]
        sub: []




Elkan




VLFeat supports two different implementations of k-means. While they
produce identical output, the Elkan method is sometimes faster.
The method parameters controls which method is used. Consider the case when K=10 and our data is now 128 dimensional (e.g. SIFT descriptors):



K=10;
nleaves = 1000;
data = uint8(rand(128,10000) * 255);
tic;
[tree,A] = vl_hikmeans(data,K,nleaves,'method', 'lloyd') ; % default
t_lloyd = toc
tic;
[tree,A] = vl_hikmeans(data,K,nleaves,'method', 'elkan') ;
t_elkan = toc

t_lloyd =

    8.0743

t_elkan =

    3.0427



vlfeat-0.9.16/docsrc/hog.html000066400000000000000000000134711203326130700160130ustar00rootroot00000000000000




The HOG features are widely use for object detection. HOG
decomposes an image into small squared cells, computes an histogram of
oriented gradients in each cell, normalizes the result using a
block-wise pattern, and return a descriptor for each cell.



Stacking the cells into a squared image region can be used as an
image window descriptor for object detection, for example by means of
an SVM.



This tutorial shows how to use the VLFeat
function vl_hog to compute HOG features of various kind
and manipulate them.






Basic HOG computation




We start by considering an example input image:




  
  
An example image.





HOG is computed by calling the vl_hog function:



cellSize = 8 ;
hog = vl_hog(im, cellSize, 'verbose') ;



The same function can also be used to generate a pictorial
rendition of the features, although this unavoidably destroys some of
the information contained in the feature itself. To this end, use the
render command:



imhog = vl_hog('render', hog, 'verbose') ;
clf ; imagesc(imhog) ; colormap gray ;



This should produce the following image:




  
  
Standard HOG features with a cell size of eight pixels.





HOG is an array of cells, with the third dimension spanning feature
components:



> size(hog)

ans =

    16    16    31



In this case the feature has 31 dimensions. HOG exists in many
variants. VLFeat supports two: the UoCTTI variant (used by default)
and the original Dalal-Triggs variant (with 2×2 square HOG
blocks for normalization). The main difference is that the UoCTTI
variant computes bot directed and undirected gradients as well as a
four dimensional texture-energy feature, but projects the result down
to 31 dimensions. Dalal-Triggs works instead with undirected gradients
only and does not do any compression, for a total of 36
dimension. The Dalal-Triggs variant can be computed as



% Dalal-Triggs variant
cellSize = 8 ;
hog = vl_hog(im, cellSize, 'verbose', 'variant', 'dalaltriggs') ;
imhog = vl_hog('render', hog, 'verbose', 'variant', 'dalaltriggs') ;



The result is visually very similar:




  
  
Dalal-Triggs variant. Differences with the
  standard version are difficult to appreciated in the
  rendition.






Flipping HOG from left to right




Often it is necessary to flip HOG features from left to right (for
example in order to model an axis symmetric object). This can be obtained
analytically from the feature itself by permuting the histogram dimensions
appropriately. The permutation is obtained as follows:



% Get permutation to flip a HOG cell from left to right
perm = vl_hog('permutation') ;



Then these two examples produce identical results (provided that
the image contains an exact number of cells:



imHog = vl_hog('render', hog) ;
imHogFromFlippedImage = vl_hog('render', hogFromFlippedImage) ;
imFlippedHog = vl_hog('render', flippedHog) ;



This is shown in the figure:




  
  
Flipping HOG features from left to right either
  by flipping the input image or the features directly.






Other HOG parameters




vl_hog supports other parameters as well. For example,
one can specify the number of orientations in the histograms by the
numOrientations option:



% Specify the number of orientations
hog = vl_hog(im, cellSize, 'verbose', 'numOrientations', o) ;
imhog = vl_hog('render', hog, 'verbose', 'numOrientations', o) ;



Changing the number of orientations changes the features quite
significantly:




  
  
HOG features for numOrientations
equal to 3, 4, 5, 9, and 21 repsectively.





Another useful option is BilinearOrientations switching
on the bilinear orientation assignment of the gradient (this is not used
in certain implementation like UoCTTI).



% Specify the number of orientations
hog = vl_hog(im,cellSize,'numOrientations', 4) ;
imhog = vl_hog('render', hog, 'numOrientations', 4) ;



resulting in




  
  
From left to right: input image, hard
  orientation assigments for numOrientations equals to
  four, and soft orientation assigments.





vlfeat-0.9.16/docsrc/ikm.html000066400000000000000000000064131203326130700160140ustar00rootroot00000000000000




VLFeat includes a basic implementation of k-means clustering
and hierarchical k-means clustering. They are designed to be
lightweight in order to work on large datasets. In particular, they
assume that the data are vectors of unsigned chars (one byte). While
this is limiting for some application, it works well for clustering
image descriptors, where very high precision is usually unnecessary.
For more details, see the 
Integer k-means API
  reference.







Usage




Integer k-means (IKM) is run by the command
vl_ikmeans. In order to demonstrate the usage of this
command, we sample 1000 random points in the [0,255]^2
integer square and use vl_ikmeans to get k=3
clusters:



K = 3 ;
data = uint8(rand(2,1000) * 255) ;
[C,A] = vl_ikmeans(data,K) ;



The program returns both the cluster centers C and the
data-to-cluster assignments A. By means of the cluster
centers
C we can project more data on the same clusters



datat = uint8(rand(2,10000) * 255) ;
AT = vl_ikmeanspush(datat,C) ;



In order to visualize the results, we associate to each cluster a
color and we plot the points:



cl = get(gca,'ColorOrder') ;
ncl = size(cl,1) ;
for k=1:K
  sel  = find(A  == k) ;
  selt = find(AT == k) ;
  plot(data(1,sel),  data(2,sel),  '.',...
       'Color',cl(mod(k,ncl)+1,:)) ;
  plot(datat(1,selt),datat(2,selt),'+',...
       'Color',cl(mod(k,ncl)+1,:)) ;  
end








Integer k-means. We show clusters of 2-D points obtained by
integer k-means.  There are k=3 clusters represented with
different colors. The clusters have been estimated from 1000 points
(displayed as dots). Then 10000 different points have been projected on
the same clusters (displayed as crosses). The three big markers
represent the cluster centers.








Elkan




VLFeat supports two different implementations of k-means. While
they produce identical output, the Elkan method requires fewer
distance computations.  The method parameters controls
which method is used. Consider the case when K=100 and our
data is now 128 dimensional (e.g. SIFT descriptors):



K=100;
data = uint8(rand(128,10000) * 255);
tic;
[C,A] = vl_ikmeans(data,K,'method', 'lloyd') ; % default
t_lloyd = toc
tic;
[C,A] = vl_ikmeans(data,K,'method', 'elkan') ;
t_elkan = toc

t_lloyd =

   10.2884

t_elkan =

    5.1405




vlfeat-0.9.16/docsrc/images/000077500000000000000000000000001203326130700156075ustar00rootroot00000000000000vlfeat-0.9.16/docsrc/images/PASCAL2.png000066400000000000000000001306621203326130700173520ustar00rootroot00000000000000PNG


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The distance transform of an image image is defined
  as



  dt(u,v) = min  image(u',v') + alpha (u'-u-u0)^2 + beta (v'-v'-v0)^2
            u'v'




The most common use of the image distance transform is to propagate
the response of a feature detector to nearby image locations. This is
used, for example, in the implementation of certain deformable part
models or the computation of the Chamfer distance. In this tutorial,
the image distance transform is used to compute the distance of each
image pixel to the nearest element in an edge map, obtained from the
Canny's edge detector. The code of this tutorial is located in the
VLFeat folder in toolbox/demo/vl_demo_imdisttf.m.



VLFeat implements the fast distance transform algorithm of
Felzenszwalb and Huttelnocher [1], which has a
linear time complexity in the number of image pixels.



Consider the edge map extracted by the MATLAB built-in Canny edge
detector on one of VLFeat test images:



im = vl_impattern('roofs1') ;
im = im(1:100,1:100,:) ;
imSize = [size(im,1) size(im,2)] ;
edges = zeros(imSize) + inf;
edges(edge(rgb2gray(im), 'canny')) = 0 ;




 
 
 

  
   Left: A detail of the source image. Right: Extracted
   Canny edges. Figure generated by vl_demo_imdisttf.
  
 





The edge map is preprocessed to assign value -inf to
the pixels that do not contain an edge element and o to
the pixels that do. In this way, the distance transform of the image
has for each pixel the distance to the nearest edge element, provided
that one chooses alpha=beta=1 and v0=u0=0 in
the definition. Since these are the default values for VLFeat
implementations, the result an be computed by



[distanceTransform, neighbors] = vl_imdisttf(single(edges)) ;



The matrix neighbors contains for each
pixel (u,v) the index of the pixel (u',v')
where the maximum is attained in the definition of the distance
transform. This allows to associate to know for each pixel which is
the nearest edge element, not just its distance, as exemplified by the
following figure:




 
 
 

  
   The distance sqrt(distanceTransform) to the closest
   edge element (left) and arrows connecting pixels to their closest
   edge element (right). Figure generated
   by vl_demo_imdisttf.
  
 






References


    
  
  • [1] P. F. Felzenszwalb and
      D. P. Huttenlocher. Distance transforms of sampled
      functions. Technical report, Cornell University, 2004.
    • 




vlfeat-0.9.16/docsrc/index.html000066400000000000000000000242051203326130700163420ustar00rootroot00000000000000


  
   #content p.widePar {
     padding-right: 1em ;
   }
   #changes dd {
     margin-bottom: 1em ;
   }
   .award {
     margin: 1em 0em ;
     width: 10em ;
     font-size: 0.9em ;
     text-align:center ;
     float: right ;
     border: 1px solid #DDD ;
     background-color: #f6f6f6 ;
   }
   #changes .date {
     font-weight: normal ;
     font-style: italic ;
     width: 10em ;
   }
  

  

    ACM OpenSource Award 2010
  


  
The VLFeat open source
  library implements popular computer vision algorithms including
  HOG, SIFT, MSER, k-means, hierarchical
  k-means, agglomerative information
  bottleneck, SLIC superpixels, and quick
  shift. It is written in C for efficiency and compatibility,
  with interfaces in MATLAB for ease of use, and detailed
  documentation throughout. It supports
  Windows, Mac OS X, and Linux. The latest
  version of VLFeat is %env:VERSION;.


 

 

 
 

  
Download

  
 

 
 

  
Documentation

  
  

 		
 

 

 
 

  
Tutorials

  
  
Example applications

  
 

 
 

  
Citing


@misc{vedaldi08vlfeat,
 Author = {A. Vedaldi and B. Fulkerson},
 Title = {{VLFeat}: An Open and Portable Library
          of Computer Vision Algorithms},
 Year  = {2008},
 Howpublished = {\url{http://www.vlfeat.org/}}



Acknowledgments


PASCAL2
credits, VLFeat Contributors,

UCLA Vision
Lab, Oxford
VGG.




 
News


 
&nsbp;

 


   
01/10/2012
     VLBenchmarks
       1.0-beta released.

   
This new project provides simple to use benchmarking code for
   feature detectors and descriptors. Its development was supported by
   the PASCAL Harvest
   programme.
   [Details]


   
01/10/2012 VLFeat 0.9.16 released

   
Added VL_COVDET() (covariant feature detector). This function
   implements the following detectors: DoG, Hessian, Harris Laplace,
   Hessian Laplace, Multiscale Hessian, Multiscale Harris. It also
   implements affine adaptation, estiamtion of feature orientation,
   computation of descriptors on the affine patches (including raw
   patches), and sourcing of custom feature frame. Addet the auxiliary
   function VL_PLOTSS(). This is the second point update supported by
   the PASCAL Harvest
   programme.
   [Details]


   
11/9/2012 VLFeat 0.9.15 released

   
Added VL_HOG() (HOG features). Added VL_SVMPEGASOS() and a
   vastly improved SVM implementation. Added IHASHSUM (hashed
   counting). Improved INTHIST (integral histogram). Added
   VL_CUMMAX(). Improved the implementation of VL_ROC() and
   VL_PR(). Added VL_DET() (Detection Error Trade-off (DET)
   curves). Improved the verbosity control to AIB. Added support for
   Xcode 4.3, improved support for past and future Xcode
   versions. Completed the migration of the old test code in
   toolbox/test, moving the functionality to the new unit tests
   toolbox/xtest. Improved credits. This is the first point update
   supported by the PASCAL
   Harvest (several more to come shortly). A big thank to our
   sponsor!
   [Details].
   

   
10/1/2012
     PASCAL2 Harvest funding

   
In the upcoming months many new functionalities will be added
     to VLFeat thanks to the PASCAL
     Harvest! See here for details.
   

   
24/12/2011 VLFeat 0.9.14 released

   
VLFeat 0.9.14 adds SLIC superpixels, improves the
     documentation, and contains other improvements and
     bugfixes. Furthermore, starting from this release VLFeat is
     distributed under the BSD license.
     [Details].
   

   
12/7/2011 VLFeat 0.9.13 released

   
VLFeat 0.9.13 fixes the Windows binary package.
     [Details].
   

   
5/7/2011 VLFeat 0.9.12 released

   
VLFeat 0.9.12 contains minor bugfixes.
     [Details].
   

   
19/6/2011 VLFeat 0.9.11 released

   
VLFeat 0.9.11 solves a compatibility issue with old versions of
     Mac OS X and brings other minor bug fixes as well.
     [Details].
   

   
11/6/2011 VLFeat 0.9.10 released

   
VLFeat 0.9.10 rolls out numerous bug fixes
     and improvements, especially to the
     homogeneous kernel map implementation.
     [Details].
   

   
28/10/2010 VLFeat wins the ACM Multimedia Open Source Awards!

   
VLFeat 0.9.9 was awarded
   the ACM
   Multimedia Open Source Award.
   

   
 


vlfeat-0.9.16/docsrc/install-c.html000066400000000000000000000022531203326130700171200ustar00rootroot00000000000000




These instructions explain how to use VLFeat in your C
programs.



Download and unpack the latest
VLFeat binary distribution in a directory of your choice
(e.g. ~/src/vlfeat). The following tutorials provide
step-by-step instructions for two typical use cases:





In general, let VLFEATROOT denote the path to the
directory where you unpacked VLFeat. To compile and link your C
program against VLFeat, include in your C source code the appropriate
files from the VLFEATROOT/vl hierarchy and link against
the library vl located in the appropriate
subdirectory vlfeat/bin/ARCH, where ARCH
depends on your architecture.



VLFeat is a C library. To use it from a C++ program, do not forget
to enclose your #include statements in a extern
"C" block.



vlfeat-0.9.16/docsrc/install-matlab.html000066400000000000000000000042731203326130700201420ustar00rootroot00000000000000




These instructions explain how to setup VLFeat in MATLAB using the
binary distribution (it is also possible
to compile the library and toolbox from
source).



One-time setup



Download and unpack the latest
VLFeat binary distribution in a directory of your choice
(e.g. ~/src/vlfeat). Let VLFEATROOT denote
this directory. VLFeat must be added to MATLAB search path by running
the vl_setup command found in
the VLFEATROOT/toolbox directory. From MATLAB prompt
enter



>> run('VLFEATROOT/toolbox/vl_setup')
VLFeat 0.9.8 ready.



To check that VLFeat is sucessfully installed, try to run
the vl_version command:



>> vl_version verbose
VLFeat version 0.9.8
    Static config: X64, little_endian, GNU C 40201 LP64, POSIX_threads, SSE2
    4 CPU(s): GenuineIntel MMX SSE SSE2 SSE3 SSE41 SSE42
    SIMD enabled: yes



Permanent setup



To permanently add VLFeat to your MATLAB environment, add this line
to your
startup.m
file:



run('VLFEATROOT/toolbox/vl_setup')



When you restart MATLAB, you should see the VLFeat greeting
message.



Getting started



All commands embed interface documentation that can be viewed with
the
builtin help
command (e.g. help vl_sift).



VLFeat bundles a large number of demos. To use them, add the demo
path with vl_setup demo. For example, a sift demo
vl_demo_sift_basic can be run using the following:



>> vl_setup demo

>> vl_demo_sift_basic



To see a list of demos TAB-complete vl_demo at MATLAB
prompt, after running vl_setup demo.



vlfeat-0.9.16/docsrc/install-shell.html000066400000000000000000000053761203326130700200160ustar00rootroot00000000000000




#content table.checker {
    border-collapse: collapse ;
    margin-left: auto ;
    margin-right: auto ;
}
#content table.checker td {
    background-color: #f6f6f6 ;
    border: none ;
    border-top: 1px solid #DDD ;
    border-bottom: 1px solid #DDD ;
    padding: 0.5em ;
}



These instructions explain how to use VLFeat from the command line
(shell).



Download and unpack the latest
VLFeat binary distribution in a directory of your choice
(e.g. ~/src/vlfeat). Let VLFEATROOT denote
this directory.



The command line tools are located
in VLFEATROOT/bin/ARCH. Here ARCH denotes
the subdirectory relative to your architecture (e.g. mac
for Mac OS X PPC, maci for Mac OS X
Intel, glnx86 for Linux, and so on). For the sake of
illustration, the following table gives the path to the SIFT feature
extraction program for the varius architectures:








Platform
ARCH
Path to command




Windows 32
win32
VLFEATROOT\bin\w32\sift.exe




Windows 64
win64
VLFEATROOT\bin\w64\sift.exe




Mac Intel 32
maci
VLFEATROOT/bin/maci/sift




Mac Intel 64
maci64
VLFEATROOT/bin/maci64/sift




Mac PPC
mac
VLFEATROOT/bin/mac/sift




Linux 32
glnx86
VLFEATROOT/bin/glnx86/sift




Linux 64
glnxa64
VLFEATROOT/bin/glnxa64/sift








All commands have a corresponding man page found
in VLFEATROOT/src.  For UNIX based systems, the man pages
can be viewed with the man utility. For instance




> man VLFEATROOT/src/sift.1



It might be convenient to add VLFeat to the system search paths. In
Linux and Mac OS X this involves modifying the PATH
and MANPATH environment variables. The exact details may
vary, but it should be enough to add the following to your
~/.bash_profile:



export PATH=VLFEATROOT/bin/ARCH:$PATH
export MANPATH=VLFEATROOT/src:$MANPATH



Alternatively, you can copy the executables and man pages to
appropriate system-wide directories.



vlfeat-0.9.16/docsrc/kdtree.html000066400000000000000000000141451203326130700165130ustar00rootroot00000000000000




VLFeat implements the randomized kd-tree forest from
FLANN.
This enables fast medium and large scale nearest neighbor
queries among high dimensional data points (such as those produced by SIFT).







Introduction




A kd-tree is a data structure used to quickly solve
nearest-neighbor queries. Consider a set of 2D points uniformly
distributed in the unit square:



  X = rand(2, 100) ;



A kd-tree is generated by using the vl_kdtreebuild function:




  kdtree = vl_kdtreebuild(X) ;



The returned kdtree indexes the set of
points X. Given a query point Q, the
function vl_kdtreequery returns its nearest neighbor
in X:



  Q = rand(2, 1) ;
  [index, distance] = vl_kdtreequery(kdforest, X, Q) ;



Here index stores the index of the column
of X that is closest to the point Q.
distance is the squared euclidean distance between X(index),Q.



A kd-tree is a hierarchal structure built by partitioning the data
recursively along the dimension of maximum variance. At
each iteration the variance of each column is computed and the data is
split into two parts on the column with maximum variance. The
splitting threshold can be selected to be the mean or the median (use
the ThresholdMethod option of
vl_kdtreebuild).




 
 
 

  
   kd-tree partitions of a uniform set of data points, using
   the mean (left image) and the median (right image) thresholding
   options of vl_kdtreebuild. On the bottom right corner
   a query point is marked along with the ten closest neighbors as
   found by vl_kdtreequery. Figure generated
   by vl_demo_kdtree.
  
 






Querying




vl_kdtreequery uses a best-bin first search
heuristic. This is a branch-and-bound technique that maintains an
estimate of the smallest distance from the query point to any of the
data points down all of the open paths.



vl_kdtreequery supports two important operations:
  approximate nearest-neighbor search and k-nearest
  neighbor search. The latter can be used to return the 
  k nearest neighbors to a given query point Q.
  For instance:




[index, distance] = vl_kdtreequery(kdtree, X, Q, 'NumNeighbors', 10) ;



returns the closest 10 neighbors to Q
in X and their distances, stored along the columns of
index and distance.



The MaxComparisons option is used to run an ANN query.
The parameter specifies how many paths in the best-bin-first search of
the kd-tree can be checked before giving up and returning the closest
point encountered so far. For instance:



[index, distance] = vl_kdtreequery(kdtree, X, Q, 'NumNeighbors', 10, 'MaxComparisons', 15) ;



does not compare any point in Q with more than 15
points in X.




 
 
 
 
 

  
    Finding the 10 approximated nearest neighbors for increasing
    values of the MaxComparisons parameter. Note that at
    most MaxComparisons neighbors can be returned (if more
    are requested, they are ignored). Figure generated
    by vl_demo_kdtree_ann.
  
 






Randomized kd-tree forests




VLFeat supports constructing randomized forests of
kd-trees to improve the effectiveness of the representation in high
dimensions. The parameter NumTrees of
vl_kdtreebuild specifies how many trees to use in
constructing the forest. Each tree is constructed independently.
Instead of always splitting on the maximally variant dimension, each
tree chooses randomly among the top five most variant dimensions at
each level. When querying, vl_kdtreequery runs
best-bin-first across all the trees in parallel. For instance



  kdtree = vl_kdtreebuild(X, 'NumTrees', 4) ;
  [index, distance] = vl_kdtreequery(kdtree, X, Q) ;



constructs four trees and queries them.




 
 
 
 
 

  
    The parameter NumTrees
    tells vl_kdtreebuild to construct a number of
    randomized kd-trees. Figure generated
    by vl_demo_kdtree_forest.
  
 






vlfeat-0.9.16/docsrc/license.html000066400000000000000000000003731203326130700166550ustar00rootroot00000000000000



VLFeat is distributed under the BSD license:




vlfeat-0.9.16/docsrc/mdoc.py000066400000000000000000000375011203326130700156440ustar00rootroot00000000000000#!/usr/bin/python
# file:        mdoc.py
# author:      Brian Fulkerson and Andrea Vedaldi
# description: MDoc main

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

import sys, os, re, shutil
import subprocess, signal

from wikidoc import wikidoc
from formatter import Formatter
from optparse import OptionParser

excludeRegexList = []
format           = 'html'
verb             = 0
sitexml          = ""

usage = """usage: %prog [options]  

Takes all .m files in basedir and its subdirectories and converts
them to html documentation, placing the results in docdir."""

parser = OptionParser(usage=usage)

parser.add_option(
    "-f", "--format",
    dest    = "format",
    default = "html",
    action  = "store",
    help    = "specify the output format (html, wiki, web)",
    metavar = "STRING")

parser.add_option(
    "-x", "--exclude",
    dest    = "excludeList",
    action  = "append",
    type    = "string",
    help    = "exclude files matching the specified regexp")

parser.add_option(
    "-v", "--verbose",
    dest    = "verb",
    default = False,
    action  = "store_true",
    help    = "print debug information")

parser.add_option(
    "-t", "--helptoc",
    dest    = "helptoc",
    default = False,
    action  = "store_true",
    help    = "create helptoc.xml")

parser.add_option(
    "", "--helptoc-toolbox-name",
    dest  = "helptoc_toolbox_name",
    default = "Example",
    action  = "store",
    type = "string",
    help    = "helptoc.xml: Toolbox Name")

# --------------------------------------------------------------------
def runcmd(cmd):
# --------------------------------------------------------------------
    """
    runcmd(CMD) runs the command CMD. The function waits for the
    command to complete and correctly react to Ctrl-C by stopping the
    process and raising an exception.
    """
    try:
        p = subprocess.Popen(cmd, shell=True)
        sts = os.waitpid(p.pid, 0)
    except (KeyboardInterrupt, SystemExit):
        os.kill(p.pid, signal.SIGKILL)
        raise

# --------------------------------------------------------------------
class MFile:
# --------------------------------------------------------------------
    """
    MFile('sub/file.m') represents a MATLAB M-File.
    """
    def __init__(self, basedir, dirname, name):
        funcname = os.path.splitext(name)[0]

        self.funcname = funcname #.upper()
        self.path     = os.path.join(basedir, dirname, name)
        self.mdocname = funcname.replace(os.path.sep, '_')
        self.webname  = funcname.replace(os.path.sep, '.')
        self.htmlname = self.mdocname + '.html'
        self.wikiname = 'MDoc_' + (os.path.join(dirname, funcname)
                                   .upper().replace(os.path.sep, '_'))

        self.prev = None
        self.next = None
        self.node = None

    def getId (self, format='html'):
        if format == 'html':
            return self.htmlname
        elif format == 'web':
            return self.webname
        elif format == 'wiki':
            return self.wikiname

    def getRef (self, format='html'):
        if format == 'html':
            return self.htmlname
        elif format == 'web':
            return '%pathto:' + self.webname + ';'
        elif format == 'wiki':
            return self.wikiname

    def __cmp__(self, other):
        return cmp(self.webname, other.webname)

    def __str__(self):
        str  = "MFile: %s\n" % (self.funcname)
        str += "  path    : %s\n" % (self.path)
        str += "  mdocname: %s\n" % (self.mdocname)
        str += "  htmlname: %s\n" % (self.htmlname)
        str += "  wikiname: %s\n" % (self.wikiname)
        return str

# --------------------------------------------------------------------
class Node:
# --------------------------------------------------------------------
    """
    A Node N represents a node in the toolbox hierechy. A node is a
    directory in the toolbox hierarchy and contains both M-files and
    other sub-directories.
    """
    def __init__(self, dirname):
        self.dirname = dirname
        self.children = []
        self.mfiles   = []

    def addChildNode(self, node):
        "Add a child node (toolbox subdirectory) to this node"
        self.children.append(node)

    def addMFile(self, mfile):
        "Add a MATLAB M-File to this node"
        self.mfiles.append(mfile)
        mfile.node = self

    def toIndexPage(self, format='html', depth=1):
        "Converts the node hierarchy rooted here into an index."
        page = ""
        if format == 'html' or format == 'web':
            if len(self.mfiles) > 0:
                page += "%s" % (self.dirname.upper())
                page += "
    \n"
                for m in self.mfiles:
                    page += "
  • "
                    page += "%s" % (m.getRef(format),
                                                            m.funcname)
                    page += " %s" % (m.brief)
                    page += "
    • "
                page += "
\n"
        elif format == 'wiki':
            if len(self.mfiles) > 0:
                if depth > 1:
                    page += "=== %s ===\n" % (self.dirname.upper())
                for m in self.mfiles:
                    page += "* [[%s|%s]]" % (m.getRef(format), m.funcname)
                    page += " %s\n" % (m.brief)
        elif format == 'helptoc':
            for m in self.mfiles:
                page += "%s\n" % (m.getRef('html'),
                                                                 m.funcname)
        else:
            assert False
        for n in self.children:
            page += n.toIndexPage(format, depth+1)
        return page

    def toIndexXML(self):
        xml = ""
        for m in self.mfiles:
            dirname = m.node.dirname.upper()
            if len(dirname) > 0:
                xml += \
                    "" \
                    "
" \
                    "
\n" % (m.getId('web'), m.funcname,
                                                            dirname,
                                                            m.funcname, m.htmlname)
            else:
                xml += \
                    "" \
                    "
" \
                    "
\n" % (m.getId('web'), m.funcname,
                                                            m.funcname, m.htmlname)

        for n in self.children:
            xml += n.toIndexXML() ;
        return xml

    def __str__(self):
        s = "Node: %s\n" % self.dirname
        for m in self.mfiles:
            s += m.__str__()
        for n in self.children:
            s += n.__str__()
        return s

# --------------------------------------------------------------------
def depth_first(node):
# --------------------------------------------------------------------
    """
    depth_first(NODE) is a generator that implements a depth first
    visit of the node hierarchy rooted at NODE.
    """
    yield node
    for n in node.children:
        for m in depth_first(n):
            yield m
    return

# --------------------------------------------------------------------
def extract(path):
# --------------------------------------------------------------------
    """
    (BODY, FUNC, BRIEF) = extract(PATH) extracts the comment BODY, the
    function name FUNC and the brief description BRIEF from the MATLAB
    M-file located at PATH.
    """
    body         = []
    func         = ""
    brief        = ""
    seenfunction = False
    seenpercent  = False

    for l in open(path):

        # Remove whitespace and newline
        line = l.strip().lstrip()

        if line.startswith('%'): seenpercent = True
        if line.startswith('function'):
            seenfunction = True
            continue
        if not line.startswith('%'):
            if (seenfunction and seenpercent) or not seenfunction:
                break
            else:
                continue

        # remove leading `%' character
        line = line[1:] #
        body.append('%s\n' % line)

    # Extract header from body
    if len(body) > 0:
        head  = body[0]
        body  = body[1:]
        match = re.match(r"^\s*(\w+)\s*(\S.*)\n$", head)
        func  = match.group(1)
        brief = match.group(2)

    return (body, func, brief)


# --------------------------------------------------------------------
def xscan(baseDir, subDir=''):
# --------------------------------------------------------------------
    """
    NODE = xscan(BASEDIR) recusrively scans the directory BASEDIR and
    construct the toolbox hierarchy rooted at NODE.
    """

    node = Node(subDir)
    dir = os.listdir(os.path.join(baseDir, subDir))
    fileNames  = [f for f in dir if os.path.isfile(
                  os.path.join(baseDir, subDir, f))]
    subSubDirs = [s for s in dir if os.path.isdir (
                  os.path.join(baseDir, subDir, s))]
    fileNames.sort()

    # Scan M-FileNames
    for fileName in fileNames:
        # only m-files
        if not os.path.splitext(fileName)[1] == '.m':
            continue

        # skip if in the exclude list
        exclude = False
        for rx in excludeRegexList:
            fileRelPath = os.path.join(subDir, fileName)
            mo = rx.match(fileRelPath)
            if mo and (mo.end() - mo.start() == len(fileRelPath)):
                if verb:
                    print "mdoc: excluding ''%s''." % fileRelPath
                    exclude = True
        if exclude: continue

        node.addMFile(MFile(baseDir, subDir, fileName))

    # Scan sub-directories
    for s in subSubDirs:
        node.addChildNode(xscan(basedir, os.path.join(subDir, s)))

    return node

# --------------------------------------------------------------------
def breadCrumb(m):
# --------------------------------------------------------------------
    breadcrumb = "
    "
    if format == 'web':
        breadcrumb += "
  • Index
    • "
    else:
        breadcrumb += "
  • Index
    • "
    if m.prev: breadcrumb += "
  • Prev
    • " % m.prev.getRef(format)
    if m.next: breadcrumb += "
  • Next
    • " % m.next.getRef(format)
    breadcrumb += "
"
    #breadcrumb += "%s" % m.node.dirname.upper()

    return breadcrumb

# --------------------------------------------------------------------
if __name__ == '__main__':
# --------------------------------------------------------------------

    #
    # Parse comand line options
    #

    (options, args) = parser.parse_args()

    if options.verb: verb = 1
    format = options.format
    helptoc = options.helptoc

    print options.excludeList
    for ex in options.excludeList:
        rx = re.compile(ex)
        excludeRegexList.append(rx)

    if len(args) != 2:
        parser.print_help()
        sys.exit(2)

    basedir = args[0]
    docdir  = args[1]

    if not basedir.endswith('/'): basedir = basedir + "/"
    if not basedir.endswith('/'): docdir  = docdir + "/"

    if verb:
        print "mdoc: search path: %s" % basedir
        print "mdoc: output path: %s" % docdir
        print "mdoc: output format: %s" % format

    #
    # Search for mfiles
    #

    toolbox = xscan(basedir)

    #
    # Extract dictionaries of links and M-Files
    #

    linkdict = {}
    mfiles   = {}
    prev     = None
    next     = None
    for n in depth_first(toolbox):
        for m in n.mfiles:
            if prev:
                prev.next = m
                m.prev = prev
            prev = m
            func = m.funcname.upper()
            mfiles[func] = m
            linkdict[func] = m.getRef(format)
    if verb:
        print "mdoc: num mfiles: %d" % (len(mfiles))

    # Create output directory
    if not os.access(docdir, os.F_OK):
        os.makedirs(docdir)

    # ----------------------------------------------------------------
    #                          Extract comment block and run formatter
    # ----------------------------------------------------------------
    for (func, m) in mfiles.items():

        if format == 'wiki':
            outname = m.wikiname
        elif format == 'html':
            outname = m.htmlname
        elif format == 'web':
            outname = m.htmlname

        if verb:
            print "mdoc: generating %s from %s" % (outname, m.path)

        # extract comment block from file
        (lines, func, brief) = extract(m.path)

        m.brief = brief

        # Run formatter
        content = ""
        if len(lines) > 0:
            if format == 'wiki' :
                formatter = Formatter(lines, linkdict, 'wiki')
            else:
                formatter = Formatter(lines, linkdict, 'a')

            content = formatter.toDOM().toxml("UTF-8")
            content = content[content.find('?>')+2:]

        # add decorations
        if not format == 'wiki':
            content = breadCrumb(m) + content

        if format == 'web':
            content = "\n" + content + "\n"

        # save the result to an html file
        if format == 'wiki':
            f = open(os.path.join(docdir, m.wikiname), 'w')
        else:
            f = open(os.path.join(docdir, m.htmlname), 'w')
        f.write(content)
        f.close()

    # ----------------------------------------------------------------
    #                                                  Make index page
    # ----------------------------------------------------------------

    page = ""
    if format == 'html':
        pagename = 'index.html'
        page += toolbox.toIndexPage('html')
    elif format == 'web':
        pagename = 'mdoc.html'
        page += '\n' + toolbox.toIndexPage('web') + '\n'
    elif format =='wiki' :
        pagename = 'MDoc'
        page = "== Documentation ==\n"
        page += toolbox.toIndexPage('wiki')

    f = open(os.path.join(docdir, pagename), 'w')
    f.write(page)
    f.close()

    if format == 'web':
        f = open(os.path.join(docdir, "mdoc.xml"), 'w')
        f.write(""+toolbox.toIndexXML()+"\n")
        f.close()

    # ----------------------------------------------------------------
    #                                                 Make helptoc.xml
    # ----------------------------------------------------------------

    if helptoc:
        page = """

    %s
        Functions
""" % (options.helptoc_toolbox_name, pagename)
        page += toolbox.toIndexPage('helptoc')
        page += """
   
 

"""
        f = open(os.path.join(docdir, "helptoc.xml"), 'w')
        f.write(page)
        f.close()

    # ----------------------------------------------------------------
    #                                            Checkin files to wiki
    # ----------------------------------------------------------------
    def towiki(docdir, pagename):
        pagenamewiki = pagename + '.wiki'
        runcmd("cd %s ; mvs update %s" % (docdir, pagenamewiki))
        if verb:
            print "mdoc: converting", pagename, "to", pagenamewiki
        wikidoc(os.path.join(docdir, pagenamewiki),
                os.path.join(docdir, pagename))
        runcmd("cd %s ; mvs commit -M -m 'Documentation update' %s" % (docdir, pagenamewiki))

    if format == 'wiki' :
        try:
            towiki(docdir, pagename)
        except (KeyboardInterrupt, SystemExit):
            sys.exit(1)

        for (func, m) in mfiles.items():
            try:
                towiki(docdir, m.wikiname)
            except (KeyboardInterrupt, SystemExit):
                sys.exit(1)
vlfeat-0.9.16/docsrc/mser.html000066400000000000000000000214161203326130700162020ustar00rootroot00000000000000




Maximally Stable Extremal Regions (MSER) is a feature
detector; Like the SIFT detector, the
MSER algorithm extracts from an image I a number of
co-variant regions, called MSERs. An MSER is a stable
connected component of some level sets of the
image I. Optionally, elliptical frames are attached to
the MSERs by fitting ellipses to the regions. For a more in-depth explanation
of the MSER detector, see our API reference for MSER






Extracting MSERs




Each MSERs can be identified uniquely by (at least) one of its
pixels x, as the connected component of the level set at
level I(x) which contains x. Such a pixel is
called seed of the region.



To demonstrate the usage of the MATLAB command vl_mser
we open MATLAB and load a test image



pfx = fullfile(vl_root,'data','spots.jpg') ;
I = imread(pfx) ;
image(I) ; 








A test image.







We then convert the image to a format that is suitable for the
vl_mser command.



I = uint8(rgb2gray(I)) ;



We compute the region seeds and the elliptical frames by



[r,f] = vl_mser(I,'MinDiversity',0.7,...
                'MaxVariation',0.2,...
                'Delta',10) ;



We plot the region frames by



f = vl_ertr(f) ;
vl_plotframe(f) ;



vl_ertr transposes the elliptical frame and is
required here because the vl_mser code assumes that the row index
is the first index, but the normal image convention assumes that this is the
x (column) index.



Plotting the MSERs themselves is a bit more involved as they have
arbitrary shape.  To this end, we exploit two
functions: vl_erfill, which, given an image and a region
seed, returns a list of the pixels belonging to that region, and
the MATLAB built-in contour, which draws the contour lines
of a function. We start by



M = zeros(size(I)) ;
for x=r'
 s = vl_erfill(I,x) ;
 M(s) = M(s) + 1;
end



which computes a matrix M whose value are equal to the
number of overlapping extremal regions. Next, we use M
and contour to display the region boundaries:



figure(2) ;
clf ; imagesc(I) ; hold on ; axis equal off; colormap gray ;
[c,h]=contour(M,(0:max(M(:)))+.5) ;
set(h,'color','y','linewidth',3) ;









Extracted MSERs (left) and fitted ellipses (right).








MSER parameters




In the original formulation, MSERs are controlled by a single
parameter Δ, which controls how the stability is
calculated. Its effect is shown in the figure below.












  Effect of Δ. We start with a synthetic
  image which has an intensity profile as shown.  The bumps have
  heights equal to 32, 64, 96, 128 and 160. As we increase
  Δ, fewer and fewer regions are detected until
  finally at Δ=160 there is no region
  R which is stable at R(+Δ).







The stability of an extremal region R is the inverse
of the relative area variation of the region R when the
intensity level is increased by Δ. Formally, the
variation is defined as:



|R(+Δ) - R|
-----------
    |R|



where |R| denotes the area of the extremal region
R, R(+Δ) is the extremal region
+Δ levels up which contains R and
|R(+Δ) - R| is the area difference of the two
regions. 



A stable region has a small variation. The algorithm finds regions which
are "maximally stable", meaning that they have a lower variation
than the regions one level below or above. Note that due to the
discrete nature of the image, the region below / above may be
coincident with the actual region, in which case the region is still
deemed maximal.



However, even if an extremal region is maximally stable, it might be
rejected if:



    

  • it is too big (see the parameter MaxArea);
    • 

  • it is too small (see the parameter MinArea);
    • 

  • it is too unstable (see the parameter MaxVariation);
    • 

  • it is too similar to its parent MSER (see the
parameter MinDiversity).
    • 




By default, MSERs are extracted for both dark-on-bright regions and bright-on-dark regions. To control this, parmeters BrightOnDark and DarkOnBright which take values 0 or 1 to enable or disable the regions. For example:




[r,f] = vl_mser(I,'MinDiversity',0.7,...
                'MaxVariation',0.2,...
                'Delta',10,...
                'BrightOnDark',1,'DarkOnBright',0) ;



computes the regions in green in the figure below.









Extracted MSERs (left) and fitted ellipses (right) for both bright-on-dark
(green) and dark-on-bright (yellow).  








Conventions





As mentioned in the introduction, vl_mser uses
matrix indices as image coordinates. Compared to the usual MATLAB
convention for images, this means that the x
and y axis are swapped (this has been done to make the
convention consistent with images with three or more dimensions). Thus
the frames computed by the program may need to be "transposed" as
in:



[r,f] = vl_mser(I) ;
f = vl_ertr(f) ;



On the other hand, the region seeds r are already in
row major format, which is the standard MATLAB format for pixel
indices.



Instead of transposing the frames, one can start by transposing
the image. In this case, the frames f have the standard
image convention, but the region seeds are in column-major format and
may need to be "transposed" as in:



[r,f] = vl_mser(I') ;
[i,j] = sub2ind(size(I'),r) ;
r  = ind2sub(size(I),j,i) ; 



The command line utility mser uses the normal image
convention (because images are rasterized in column-major
order). Therefore the image frames are in the standard format, and the
region seeds are in column major format.



In order to convert from the command line utility convention to
the MATLAB convention one needs also to recall that MATLAB coordinates
starts from (1,1), but the command line utility uses the more common
convention (0,0). For instance, let the files image.frame
and image.seed contain the feature frames and seeds in
ASCII format as generated by the command line utility. Then



r_ = load('image.seed')' + 1 ;
f_ = load('image.frame')' ; 
f_(1:2,:) = f_(1:2,:) + 1 ;
[r,f] = vl_mser(I') ; % notice the transpose



produces identical (up to numerical noise) region
seeds r and r_ and frames f
and f_.



vlfeat-0.9.16/docsrc/notfound.html000066400000000000000000000005571203326130700170730ustar00rootroot00000000000000



 
The page you attempted to view no longer exists, never existed, or
   is not currently available.


 
Try searching for what you need:


 
 

 

 


vlfeat-0.9.16/docsrc/pegasos.html000066400000000000000000000130731203326130700166750ustar00rootroot00000000000000




VLFeat includes a fast SVM solver, called 
vl_svmpegasos. The function implements the Pegasos SVM 
algorithm [1], with a few adds such online 
Homogeneous kernel map expansion and SVM online statistics. 
 


















Pegasos SVM






A simple example on how to use vl_svmpegasos is presented below. Let's first build the training data  


% Set up training data
Np = 200 ;
Nn = 200 ;

Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2  ;
Xn(1,:) = Xn(1,:) - 2  ;

X = [Xp Xn] ;
y = [ones(1,Np) -ones(1,Nn)] ;


Plotting X and y we have 



 
 

  
   Training Data.
  
 





Learning a linear classifier can be easily done with the following 2
lines of code:



dataset = vl_maketrainingset(X, int8(y)) ;
[w b info] = vl_svmpegasos(dataset, 0.01, ...
                           'MaxIterations',5000) ;



where we first create a struct containing the training data
using  vl_maketraining data and then we call the the SVM
solver. The output model w is plotted over the training
  data in the following figure. 




 
 

  
   Learned model.
  
 





 The output b is equal to 0 since the
  training data admits an SVM model passing from the origins. 



 The output info is a struct containing some
  statistic on the learned SVM: 




info = 

           dimension: 2
          iterations: 5000
       maxIterations: 5000
             epsilon: -1
              lambda: 0.0100
      biasMultiplier: 0
    biasLearningRate: 1
     energyFrequency: 100
         elapsedTime: 0.0022
              energy: 0.1727
     regularizerTerm: 0.0168
             lossPos: 0.1003
             lossNeg: 0.0556
         hardLossPos: 0.1050
         hardLossNeg: 0.0750



It is also possible to  use under some
  assumptions[2] an homogeneous kernel map expanded online inside the
  solver. This can be done with the following command:  



dataset = vl_maketrainingset(X, int8(y).'homkermap',2,'KChi2') ;



The above code creates a training set without applying any
  homogeneous kernel map to the data. When the solver is called  it will expand each data point with a Chi Squared kernel
  of period 2.




Real-time diagnostics




VLFeat allows to get statistics during the training process. It is
  sufficient to pass a function handle to the solver. The function
  will be then called every energyFrequency time.



The following function simply plots the SVM energy values for all
  the past iterations: 



function energy = diagnostics(svm,energy)
  figure(2) ; 
  energy = [energy svm.energy] ;
  plot(energy) ;
  drawnow ;



The energy value for the past iterations are kept in the
  row vector energy. The following code produces a plot of the energy value in real-time during the learning process. 



energy = [] ;
dataset = vl_maketrainingset(X, int8(y)) ;
[w b info] = vl_svmpegasos(dataset, lambda, ...
                           'MaxIterations',5000,...
                           'DiagnosticFunction',@diagnostics,...
                           'DiagnosticCallRef',energy) ;





 
 

  
   SVM real-time energy values plot.
  
 





References




    
  
  • [1] Y. Singer and N. Srebro Pegasos: Primal
  estimated sub-gradient solver for SVM In Proc. ICML,
  2007.

    • 

  • [2] A. Vedaldi and A. Zisserman. Efficient additive
    kernels via explicit feature maps. In PAMI, 2011. 

    • 




vlfeat-0.9.16/docsrc/plots-rank.html000066400000000000000000000221121203326130700173200ustar00rootroot00000000000000




This tutorial illustrates the use of the functions
vl_roc,
vl_det, and
vl_pr to generate ROC, DET,
and precision-recall curves.



VLFeat includes support for plotting starndard information
retrieval curves such as the Receiver Operating Characteristic
(ROC) and the Precision-Recall (PR) curves.



Consider a set of samples with labels labels and
score scores. scores is typically the output
of a classifier, with higher scores corresponding to positive
labels. Ideally, sorting the data by decreasing scores should leave
all the positive samples first and the negative samples last.  In
practice, a classifier is not perfect and the ranking is not ideal.
The tools discussed in this tutorial allow to evaluate and visualize
the quality of the ranking.



For the sake of the illustration generate some data randomly as
follows:



numPos = 20 ;
numNeg = 100 ;
labels = [ones(1, numPos) -ones(1,numNeg)] ;
scores = randn(size(labels)) + labels ;



In this case, there have five times more negative samples than
positive ones. The scores are correlated to the labels as expected,
but do not allow for a perfect separation of the two classes.




ROC and DET curves


 

To visualize the quality of the ranking, one can plot the ROC curve
by using the vl_roc
function:



vl_roc(labels, scores) ;



This produces the figure






An example ROC curve.





The ROC curve is the parametric curve given by the true positve
rate (TPR) against the true negative rate (TNR). These two quantities
can be obtained from vl_roc as follows:



[tpr, tnr] = vl_roc(labels, scores) ;



The TPR value tpr(k) is the percentage of positive
samples that have rank smaller or equal than k (where
ranks are assigned by decreasing scores). tnr(k) is
instead the percentage of negative samples that have rank larger
than k. Therefore, if one classifies the samples with
rank smaller or equal than k to be positive and the rest
to be negative, tpr(k) and tnr(k) are
repsectively the probability that a positive/negative sample is
classified correctly.



Moving from rank k to rank k+1, if the
sample of rank k+1 is positive then tpr
increases; otherwise tnr decreases. An ideal classifier
has all the positive samples first, and the corresponding ROC curve is
one that describes two sides of the unit square.



The Area Under the Curve (AUC) is an indicator of the
overall quality of a ROC curve. For example, the ROC of the ideal
classifier has AUC equal to 1. Another indicator is the Equal
Error Rate (EER), the point on the ROC curve that corresponds to
have an equal probability of miss-classifying a positive or negative
sample. This point is obtained by intersecting the ROC curve with a
diagonal of the unit square. Both AUC and EER can be computed
by vl_roc:



[tpr, tnr, info] = vl_roc(labels, scores) ;
disp(info.auc) ;
disp(info.eer) ;



vl_roc has a couple of useful functionalities:



    

  • Any sample with label equal to zero is effecitvely ignored in the
evaluation.
    • 


  • Samples with scores equal to -inf are assumed to be
never retrieved by the classifier. For these, the TNR is
conventionally set to be equal to zero.
    • 


  • Additional negative and positive samples with -inf
score can be added to the evaluation by means of
the numNegatives and numPositives
options. For example,
vl_roc(labels,scores,'numNegatives',1e4) sets the number
of negative samples to 10,000. This can be useful when evaluating
large retrieval systems, for which one may want to record
in labels and scores only the top ranked
results from a classifier.
    • 


  • Different variants of the ROC plot can be produced. For example
vl_roc(labels,scores,'plot','tptn') swaps the two axis,
plotting the TNR against the TPR.  Since the TPR is also the recall
(i.e., the percentage of positive samples retrieved up to a certain
rank), this makes the plot more directly comparable to
a precision-recall plot.

    


    Variants of the ROC plot.
    

    

    • 




A limitation of the ROC curves in evaluating a typical retrieval
system is that they put equal emphasis on false positive and false
negative errors. In a tipical retrieval application, however, the vast
majority of the samples are negative, so the false negative rate is
typically very small for any operating point of interest. Therefore
the emphasis is usually on the very first portion of the rank, where
the few positive samples should concentrate. This can be emphasized by
using either precision-recall plot or a
variant of the ROC curves called Detection Error Tradeoff (DET)
curves.



A DET curve plots the FNR (also called false alarm rate)
against teh FPR (also called miss rate) in logarithmic
coordiantes.  It can be generated
by vl_det function
call:






An example DET curve.






Precision-recall curves




Both ROC and DET curves normalize out the relative proportions of
positive and negative samples. By contrast, a Precision-Recall
(PR) curve reflects this directly. One can plot the PR curve by
using the vl_pr
function:



vl_pr(labels, scores) ;



This produces the figure






An example precision-recall curve.





The PR curve is the parametric curve given by precision and
recall. These two quantities can be obtained from vl_roc
as follows:



[recall, precision] = vl_roc(labels, scores) ;



The precision value precision(k) is the proportion of
samples with rank smaller or equal than k-1 that are
positive(where ranks are assigned by decreasing
scores). recall(k) is instead the percentage of positive
samples that have rank smaller or equal than k-1. For
example, if the first two samples are one positive and one
negative, precision(3) is 1/2. If there are in total 5
positive samples, then recall(3) is 1/5.



Moving from rank k to rank k+1, if the
sample of rank k+1 is positive then
both precision and recall increase;
otherwise precision decreases and recall
stays constant. This gives the PR curve a characteristic
saw-shape. For aan ideal classifier that ranks all the positive
samples first the PR curve is one that describes two sides of the unit
square.



Similar to the ROC curves, the Area Under the Curve (AUC)
can be used to summarize the quality of a ranking in term of precision
and recall. This can be obtained as info.auc by



[rc, pr, info] = vl_pr(labels, scores) ;
disp(info.auc) ;
disp(info.ap) ;
disp(info.ap_interp_11) ;



The AUC is obtained by trapezoidal interpolation of the precision.
An alternative and usually almost equivalent metric is the Average
Precision (AP), returned as info.ap. This is the
average of the precision obtained every time a new positive sample is
recalled. It is the same as the AUC if precision is interpolated by
constant segments and is the definition used by TREC most
often. Finally, the 11 points interpolated average precision,
returned as info.ap_interp_11. This is an older TREC
definition and is obtained by taking the average of eleven precision
values, obtained as the maximum precision for recalls largerer than
0.0, 0.1, ..., 1.0. This particular metric was used, for example, in
the PASCAL VOC challenge until the 2008 edition.



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vlfeat-0.9.16/docsrc/quickshift.html000066400000000000000000000076041203326130700174110ustar00rootroot00000000000000




Quick shift is a mode seeking algorithm (like mean shift) which
instead of iteratively shifting each point towards a local mean instead forms a tree of links to the nearest neighbor which increases the density. For a more in-depth description of the algorithm, see our
API reference for quick shift



 


Using quick shift to find superpixels




This demo shows quick shift in a simple superpixelization problem where we seek to segment this image:




  
  
The image we wish to segment





As a feature vector, we choose the LAB colorspace representation of the image augmented with the x,y location of the pixel. vl_quickseg is a convenient wrapper function which takes care of the transformation of the image to LAB and performs segmentation, making our job as easy as:



ratio = 0.5;
kernelsize = 2;
Iseg = vl_quickseg(I, ratio, kernelsize, maxdist);



where ratio is the tradeoff between color importance and spatial importance (larger values give more importance to color), kernelsize is the size of the kernel used to estimate the density, and maxdist is the maximum distance between points in the feature space that may be linked if the density is increased.







The effect of maxdist on the superpixelization. As we increase maxdist, superpixels become larger and larger since we can link less similar points. Top: maxdist=10. Bottom: maxdist=20.






Multiple segmentations




Quick shift arranges all of the data points into a tree where parents in the tree are the nearest neighbors in the feature space which increase the estimate of the density. By imposing a limit on the distance between nearest neighbors (maxdist), we decrease the amount of computation required to search for the nearest neighbors. However, we also break our tree into a forest, because local modes of the density will now have no neighbor which is close enough in the feature space to form a link.



In the previous section, we created a superpixel segmentation by taking each of the trees in this forest as a distinct cluster. However, since maxdist simply prevents new links from forming, the segmentation formed by every dist < maxdist is contained in the result. vl_quickvis lets us visualize this by running quick shift once and forming multiple segmentations by cutting links in the tree which are smaller and smaller.



maxdist = 50;
ndists = 10;
Iedge = vl_quickvis(I, ratio, kernelsize, maxdist, ndists)
imagesc(Iedge);
axis equal off tight;
colormap gray;






A visualization of multiple maxdist thresholds on a single image. Here, boundaries are colored by the largest maxdist where the boundary is preserved.





vlfeat-0.9.16/docsrc/roadmap.html000066400000000000000000000044061203326130700166570ustar00rootroot00000000000000




PASCAL2 credits In 2012 the development of VLFeat is
supported by the PASCAL Harvest programme. Several people have been
working in Oxford to add new functionalities to the library. Moreover,
leading researchers in computer vision were consulted as
advisors of the project. These
contributions will be made public in the next several weeks as the
code is tuned and finalised.



A particularly significant contribution is the creation of a new
sub-project, VLBenchmakrs, for the evaluation of feature
detectors and descriptors. VLBenchmarks is meant to provide a
future-proof benchmarking suite. The first release includes
reimplementations of standard feature benchmarks to replace ageing
legacy code and a brand new benchmark. In the future, it will be used
to deliver to the community new, modern benchmarks in a consistent and
simple to use pacakge.



Version 0.9.18 (predicted January)


    

  • Large scale Approximate Nearest Neighbours (ANN) K-means.
    • 

  • Large scale ANN Gaussian Mixture Models (GMMs).
    • 

  • Fisher Kernel encoding.
    • 

  • Locality Linear Coding (LLC).
    • 




Version 0.9.17 (predicted end November)


    

  • Local Ternary Patterns (LTP).
    • 

  • Local Binary Patterns (LBP).
    • 




Version 0.9.16 (released)


    

  • VLBenchmarks: detector repeatability, descriptor matching
score, and image retrieval benchmarks.
    • 

  • Affine covariant feature detectors. The aim is to create a future
proof replacement of
the legacy
implementation.
    • 




Version 0.9.15 (released)


    

  • Histogram of Oriented Gradients (HOG) features.
    • 

  • New Stochastic Gradient Descent (SGD) Support Vector Machine
(SVM) implementation. Layed down a good infrastructure to add more
learning algorithms in the future.
    • 

  • Several utility functions (hashed summation, integral images,
plotting functions).
    • 

  • Significant cleanup of the codebase, outstanding bugs
squashed.
    • 



vlfeat-0.9.16/docsrc/sift.html000066400000000000000000000304121203326130700161750ustar00rootroot00000000000000




The Scale-Invariant Feature Transform (SIFT) bundles a
feature detector and a feature descriptor. The detector extracts from
an image a number of frames (attributed regions) in a way which is
consistent with (some) variations of the illumination, viewpoint and
other viewing conditions. The descriptor associates to the regions a
signature which identifies their appearance compactly and
robustly. For a more in-depth description of the algorithm, see our
API reference for SIFT.






Extracting frames and descriptors




Both the detector and descriptor are accessible by
the vl_sift MATLAB command (there is a similar command
line utility). Open MATLAB and load a test image



I = vl_impattern('roofs1') ;
image(I) ;




 
 

  
   Input image.
  
 





The vl_sift command requires a single precision gray
scale image. It also expects the range to be normalized in the [0,255]
interval (while this is not strictly required, the default values of
some internal thresholds are tuned for this case). The image
I is converted in the appropriate format by



I = single(rgb2gray(I)) ;



We compute the SIFT frames (keypoints) and descriptors by



[f,d] = vl_sift(I) ;



The matrix f has a column for each frame. A frame is a
disk of center f(1:2), scale f(3) and
orientation f(4) . We visualize a random selection of 50
features by:



perm = randperm(size(f,2)) ;
sel = perm(1:50) ;
h1 = vl_plotframe(f(:,sel)) ;
h2 = vl_plotframe(f(:,sel)) ;
set(h1,'color','k','linewidth',3) ;
set(h2,'color','y','linewidth',2) ;




 
 

  Some of the detected SIFT frames.
 





We can also overlay the descriptors by



h3 = vl_plotsiftdescriptor(d(:,sel),f(:,sel)) ;
set(h3,'color','g') ;




 
 

  A test image for the peak threshold parameter.
 






Basic matching




SIFT descriptors are often used find similar regions in two
images. vl_ubcmatch implements a basic matching
algorithm. Let Ia and Ib be images of the
same object or scene. We extract and match the descriptors by:




[fa, da] = vl_sift(Ia) ;
[fb, db] = vl_sift(Ib) ;
[matches, scores] = vl_ubcmatch(da, db) ;




 
 
 

  Top: A pair of images of the same scene. Bottom: Matching of SIFT
  descriptors with vl_ubcmatch.
 






For each descriptor in da, vl_ubcmatch finds
the closest descriptor in db (as measured by the L2 norm
of the difference between them). The index of the original match and
the closest descriptor is stored in each column of
matches and the distance between the pair is stored in
scores.





Matches also can be filtered for uniqueness by passing a third
parameter to vl_ubcmatch which specifies a threshold.
Here, the uniqueness of a pair is measured as the ratio of the
distance between the best matching keypoint and the distance to the
second best one (see vl_ubcmatch for further details).






Detector parameters




The SIFT detector is controlled mainly by two parameters: the peak
 threshold and the (non) edge threshold.




The peak threshold filters peaks of the DoG scale space
  that are too small (in absolute value). For instance, consider a
  test image of 2D Gaussian blobs:



I = double(rand(100,500) <= .005) ;
I = (ones(100,1) * linspace(0,1,500)) .* I ;
I(:,1) = 0 ; I(:,end) = 0 ;
I(1,:) = 0 ; I(end,:) = 0 ;
I = 2*pi*4^2 * vl_imsmooth(I,4) ;
I = single(255 * I) ;




 
  

   A test image for the peak threshold parameter.
  





We run the detector with peak threshold peak_thresh by



f = vl_sift(I, 'PeakThresh', peak_thresh) ;



obtaining fewer features as peak_thresh is increased.




 
 
 
 
 

   
     Detected frames for increasing peak threshold.

     From top: peak_thresh = {0, 10, 20, 30}.
  
 





The edge threshold eliminates peaks of
the DoG scale space whose curvature is too small (such peaks yield
badly localized frames). For instance, consider the test image



I = zeros(100,500) ;
for i=[10 20 30 40 50 60 70 80 90]
I(50-round(i/3):50+round(i/3),i*5) = 1 ;
end
I = 2*pi*8^2 * vl_imsmooth(I,8) ;
I = single(255 * I) ;








A test image for the edge threshold parameter.







We run the detector with edge threshold edge_thresh by



f = vl_sift(I, 'edgethresh', edge_thresh) ;



obtaining more features as edge_thresh is increased:











  Detected frames for increasing edge threshold.

  From top: edge_thresh = {3.5, 5, 7.5, 10}








Custom frames




The MATLAB command vl_sift (and the command line utility)
can bypass the detector and compute the descriptor on custom frames using
the Frames option.



For instance, we can compute the descriptor of a SIFT frame
centered at position (100,100), of scale 10
and orientation -pi/8 by



fc = [100;100;10;-pi/8] ;
[f,d] = vl_sift(I,'frames',fc) ;








  Custom frame at with fixed orientation.






 
Multiple frames fc may be specified as well. In this
  case they are re-ordered by increasing
  scale. The Orientations option instructs the program to
  use the custom position and scale but to compute the keypoint
  orientations, as in



fc = [100;100;10;0] ;
[f,d] = vl_sift(I,'frames',fc,'orientations') ;


 





Custom frame with computed orientations.







Notice that, depending on the local appearance, a keypoint may
have multiple orientations.  Moreover, a keypoint computed on
a constant image region (such as a one pixel region) has no
orientations!




Conventions




In our implementation SIFT frames are expressed in the standard
image reference.  The only difference between the command line and
MATLAB drivers is that the latter assumes that the image origin
(top-left corner) has coordinate (1,1) as opposed to (0,0). Lowe's
original implementation uses a different reference system, illustrated
next:




 





Our conventions (top) compared to Lowe's (bottom).






 
Our implementation uses the standard image reference system, with
  the y axis pointing downward. The frame
  orientation θ and descriptor use the same reference
  system (i.e. a small positive rotation of the x moves it
  towards the y axis). Recall that each descriptor element
  is a bin indexed by (θ,x,y); the histogram is
  vectorized in such a way that θ is the fastest
  varying index and y the slowest.


 
By comparison, D. Lowe's implementation (see bottom half of the
  figure) uses a slightly different convention: Frame centers are
  expressed relatively to the standard image reference system, but the
  frame orientation and the descriptor assume that the  y 
  axis points upward. Consequently, to map from our to D. Lowe's
  convention, frames orientations need to be negated and the descriptor
  elements must be re-arranged.




Comparison with D. Lowe's SIFT




VLFeat SIFT implementation is largely compatible with
UBC (D. Lowe's)
implementation (note however that the keypoints are stored in a
slightly different format, see vl_ubcread). The following
figure compares SIFT keypoints computed by the VLFeat (blue) and UBC
(red) implementations.








VLFeat keypoints (blue) superimposed to D. Lowe's keypoints
(red). Most keypoints match nearly exactly.







The large majority of keypoints correspond nearly exactly. The
following figure shows the percentage of keypoints computed by the two
implementations whose center matches with a precision of at least 0.01
pixels and 0.05 pixels respectively.








Percentage of keypoints obtained from the VLFeat and UBC implementations
that match up to 0.01 pixels and 0.05 pixels.







Descriptors are also very similar. The following figure shows the
percentage of descriptors computed by the two implementations whose
distance is less than 5%, 10% and 20% of the average descriptor
distance.








Percentage of descriptors obtained from the VLFeat and UBC
implementations whose distance is within 10% and 20% of the average
descriptor distance.







vlfeat-0.9.16/docsrc/slic.html000066400000000000000000000027031203326130700161640ustar00rootroot00000000000000




SLIC is superpixel extraction (segmentation) method based on
a local version of k-means. For a detailed description of the
algorithm, see the SLIC API
reference.



This demo shows how to use SLIC to extract superpixels from this
image:




  
  
The image to be segmented





In the simplest form, SLIC can be called as:



% im contains the input RGB image as a SINGLE array
regionSize = 10 ;
regularizer = 10 ;
segments = vl_slic(im, regionSize, regularizer) ;



By making varting regionSize and
regularizer one obtains the segmentations:






SLIC segmentations regionSize
spaning the values 10,30, and
regularizer the values 0.01, 0.1, 1.





SLIC is often intended to be applied on top of LAB rather than RGB
images. To do this, simpyl convert the image to LAB format before
calling vl_slic.



% IM contains the image in RGB format as before
imlab = vl_xyz2lab(vl_rgb2xyz(im)) ;
segments = vl_slic(imlab, 10, 0.1) ;



vlfeat-0.9.16/docsrc/tutorials.html000066400000000000000000000055521203326130700172650ustar00rootroot00000000000000




This section features a number of tutorials illustrating some of
the main algorithms implemented in VLFeat. The tutorials can be
roughly grouped into two categories. The first class of algorithms
detect and describe image regions
(features). The second
class of algorithms
cluster data.


Features





Clustering





Other








vlfeat-0.9.16/docsrc/using-gcc.html000066400000000000000000000017611203326130700171140ustar00rootroot00000000000000



 
These instructions show how to setup a basic C++ project which uses the
 VLFeat library and the g++ compiler. Our project will consist of the
 following simple file, which we will refer to as main.cpp:
 



extern "C" {
  #include <vl/generic.h>
}

int main (int argc, const char * argv[]) {
  VL_PRINT ("Hello world!") ;
  return 0;
}


 
Notice that the extern "C" is required for C++ projects.
 Compiling the project is straightforward. From the command prompt type:



$ g++ main.cpp -o vlfeat-test -IVLROOT -LVLROOT/bin/a64/ -lvl


 
In this example, replace VLROOT with the path to your VLFeat
 installation and replace a64 with your architecture
 (a64 for 64 bit linux, glx for 32 bit linux).



vlfeat-0.9.16/docsrc/using-vsexpress.html000066400000000000000000000053141203326130700204200ustar00rootroot00000000000000




  
These instructions show how to setup a basic VLFeat
  project with Visual C++ Express 2008 on Windows XP (32 bit).
  Instructions for other versions of Visual Studio should be
  similar.


  
First, we create a new project called vlfeat-client.
  Open Visual C++ Express 2008 and select File > New > Project
  and choose General > Empty Project. Give your project a
  name and location (here vlfeat-client) and click OK.


 New Project
 

 Empty Project

  
Next, we have to modify the project properties to include the
  VLFeat library and include directories. Right click on the
  project and select properties.


 Properties

 
We want these settings to apply to both Debug and Release builds, so
 switch to all configurations.


 All Configurations

 
Add an additional include path which points to the root of the
 VLFeat folder:


 Additional Includes

  
Add an additional library include path pointing to the bin/w32
  folder in the distribution, and add vl.dll as a
  dependency:


 Additional LIBDIR

 Additional Dependencies

 
This will allow us to compile, but we will not be able to run,
 getting  because vl.dll will not be found:


 vl.dll was not found

 
To remedy this, we add a post-build step which copies vl.dll to
 the debug or release folder.  Since this only needs to be done once
 for each project, we could instead copy the file manually.


 Post-build step

 
Now that we have created our project, add a new .cpp file (right
 click on Source Files and choose Add > New Item) with
 this code:



extern "C" {
#include <vl/generic.h>
}

int main (int argc, const char * argv[]) {
  VL_PRINT ("Hello world!\n") ;
  return 0;
}


 
Build and run the project (Ctrl+F5). It should run correctly, and
 you should see this:


 Visual C++ OK


vlfeat-0.9.16/docsrc/using-xcode.html000066400000000000000000000072511203326130700174620ustar00rootroot00000000000000



 
These instructions show how to setup a basic VLFeat project
  with Apple Xcode.  For the sake of simplicty, we create a command
  line tool written in C. However, these steps apply with minor
  modifications to other project types and to the C++ lanuage.


 
First, let us create a new project
  called vlfeat-client. Open Xcode and select File
  > New Project > Command Line Utility > Standard Tool
  and click Choose. Give a name to your project (in our
  case vlfeat-client), and click Save.


 

 Xcode new project
 


 
Now we need to add VLFeat to the C compiler include search
  path. To do this, select the vlfeat-client target and
  open the information panel (the blue button,
  or Command-i). Then select the Build panel, search for
  the field Header Search Paths, and add
  VLFeat root path (in our case this is
  just ~/src/vlfeat).


 Xcode info

 
Next, we add the libvl.dylib library file to the
  project resources so that Xcode links against it. To do this, drag
  and drop the libvl.dylib file (in our example
  ~/src/vlfeat/bin/maci/libvl.dylib) to the left panel and click
  Add.


 Xcode dylib

 
Next, edit the main.c source file and type the following code:



#include <vl/generic.h>

int main (int argc, const char * argv[]) {
  VL_PRINT ("Hello world!") ;
  return 0;
}


 Xcode edit

 
If you try to build the project, it should compile without errors
  (if you are using C++, do not forget to wrap the include
  statements in a extern "C" {} block). However, if you try
  to run the program, it will fail, complaining that it cannot find the
  library image.


 Xcode error

 
The reason is that libvl.dylib is compiled with the
  library install_name equal
  to @loader_path/libvl.dylib. This causes the run-time
  loader to look for the library in the same directory of the
  executable. There are two ways around this problem: The first is to
  install the library in a standard location
  (e.g. /usr/local/lib) and use the otool
  command to change the
  library install_name. The other is to simply copy
  the libvl.dylib file in the executable directory. Here we
  demonstrate the second technique.


 
To copy libvl.dylib in the executable directory, we
  add a Copy Files build phase to the project. Right-click
  the vlfeat-client target in the project panel and select
  Add > New Build Phase > New Copy Files Build
   Phase. Select Destination: Executables. Then drag-and-drop
  the libvl.dylib item from the panel to the Copy
   Files build phase.


 Xcode copy
 Xcode copy

 
Now rebuild the project, and run it. It should run correctly,
  and if you open the debugger console you should see this:


 Xcode ok


vlfeat-0.9.16/docsrc/utils.html000066400000000000000000000040641203326130700163740ustar00rootroot00000000000000




This is a list of other notable MATLAB functions included in VLFeat



    

  • vl_imsmooth smoothes an image by a Gaussian kernel
  (simple but very useful as it is generally much faster than MATLAB's
  general purpose smoothing functions).
    • 


  • vl_plotframe plots a variety of feature frame types (such as oriented ellipses).
    • 


  • vl_binsum performs binned summations, useful as a
  building block for the fast computation of
  histograms. vl_whistc computes weighed histograms.
    • 

  • vl_imarray and vl_imarraysc arrange and visualize multiple
images in a grid
    • 

  • vl_imsc scales the image range;
    • 

  • vl_tightsubplot is similar to built-in
subplot, but produces narrower margins.
    • 


  • vl_cf makes a copy of a figure.
    • 


  • vl_rodr and vl_irodr compute the Rodrigues' formula and
  its inverse
    • 


  • vl_override overrides members of a structure with members of
  another structure.
    • 


  • vl_imwbackward warps an image by the inverse mapping method
  (generally much faster than MATLAB general purpose warping
  functions).
    • 


  • vl_waffine computes the affine warp of a set of
  points. vl_tps, vl_tpsu, vl_wtps
  compute the thin-plate spline warp of a set of points. vl_witps
  computes the inverse thin plate warp of a set of point (by
  numerically inverting the transformation). They may be used in
  combination with vl_imwbackward.
    • 


  • vl_xyz2lab, 
  vl_xyz2luv, vl_xyz2rgb, vl_rgb2xyz
  convert color spaces.
    • 


  • vl_rcos, vl_gaussian, vl_dgaussian,
vl_ddgaussian
compute some useful special functions.
    • 







vlfeat-0.9.16/docsrc/vlfeat.bib000066400000000000000000000074601203326130700163100ustar00rootroot00000000000000@string{bmvc = {Proc. {BMVC}}}

@string{cvpr = {Proc. {CVPR}}}

@string{eccv = {Proc. {ECCV}}}

@string{iccv = {Proc. {ICCV}}}

@string{icip = {Proc. {ICIP}}}

@string{icml = {Proc. {ICML}}}

@string{icpr = {Proc. {ICPR}}}

@string{ijcv = {{IJCV}}}

@string{inria = {{INRIA}}}

@string{mit = {{MIT}}}

@string{nips = {Proc. {NIPS}}}

@string{pami = {{PAMI}}}

@string{siggraph = {Proc. {SIGGRAPH}}}

@techreport{achanta10slic,
	Author = {R. Achanta and A. Shaji and K. Smith and A. Lucchi and P. Fua and S. Susstrunk},
	Institution = {EPFL},
	Title = {{SLIC} Superpixels},
	Year = {2010}}

@article{shalev-shwartz10pegasos:,
	Author = {S. Shalev-Shwartz and Y. Singer and N. Srebro and A. Cotter},
	Journal = {{MBP}},
	Title = {Pegasos: {P}rimal {E}stimated sub-{G}r{A}dient {SO}lver for {SVM}},
	Year = {2010}}

@inproceedings{muja09fast,
	Author = {M. Muja and D. G. Lowe},
	Booktitle = {Proc. {VISAPP}},
	Title = {Fast Approximate Nearest Neighbors with Automatic Algorithmic Configuration},
	Year = {2009}}

@inproceedings{vedaldi08quick,
	Author = {A. Vedaldi and S. Soatto},
	Booktitle = eccv,
	Title = {Quick Shift and Kernel Methods for Mode Seeking},
	Year = {2008}}

@inproceedings{shalev-shwartz07pegasos,
	Author = {S. Shalev-Shwartz and Y. Singer and N. Srebro},
	Booktitle = icml,
	Title = {Pegasos: Primal Estimated sub-{GrAdient SOlver for SVM}},
	Year = {2007}}

@inproceedings{elkan03using,
	Author = {C. Elkan},
	Booktitle = {Proc. {ICML}},
	Title = {Using the Triangle Inequality to Accelerate $k$-Means},
	Year = {2003}}

@inproceedings{lowe99object,
	Author = {Lowe, D. G.},
	Booktitle = iccv,
	Title = {Object Recognition from Local Scale-Invariant Features},
	Year = {1999}}

@article{lloyd82least,
	Author = {S. Lloyd},
	Journal = {{IEEE} Trans. on Information Theory},
	Number = {2},
	Title = {Least square quantization in {PCM}},
	Volume = {28},
	Year = {1982}}

@inproceedings{arthur07k-means,
	Author = {D. Arthur and S. Vassilvitskii},
	Booktitle = {Proc. {ACM-SIAM} Symp. on Discrete Algorithms},
	Title = {k-means++: The Advantages of Careful Seeding},
	Year = {2007}}

@inproceedings{matas03robust,
	Author = {Matas, J. and Chum, O. and Urban, M. and Pajdla, T.},
	Booktitle = bmvc,
	Title = {Robust Wide Baseline Stereo from Maximally Stable Extremal Regions},
	Year = {2002}}

@inproceedings{silpa-anan08optimised,
	Author = {C. Silpa-Anan and R. Hartley},
	Booktitle = cvpr,
	Title = {Optimised {KD}-trees for fast image descriptor matching},
	Year = {2008}}

@inproceedings{beis97shape,
	Author = {J. S. Beis and D. G. Lowe},
	Booktitle = cvpr,
	Title = {Shape Indexing Using Approximate Nearest-Neighbour Search in High-Dimensional Spaces},
	Year = {1997}}

@inproceedings{vedaldi11efficient,
	Author = {A. Vedaldi and A. Zisserman},
	Booktitle = pami,
	Title = {Efficient Additive Kernels via Explicit Feature Maps},
	Year = {2011}}

@inproceedings{vedaldi10efficient,
	Author = {A. Vedaldi and A. Zisserman},
	Booktitle = cvpr,
	Title = {Efficient Additive Kernels via Explicit Feature Maps},
	Year = {2010}}

@inproceedings{slonim99agglomerative,
	Author = {N. Slonim and N. Tishby},
	Booktitle = nips,
	Title = {Agglomerative Information Bottleneck},
	Year = {1999}}

@inproceedings{martin97the-det-curve,
	Author = {A. Martin and G. Doddington and T. Kamm and M. Ordowski and M. Przybocki},
	Booktitle = {Proc. Conf. on Speech Communication and Technology},
	Title = {The {DET} curve in assessment of detection task performance},
	Year = {1997}}

@inproceedings{dalal05histograms,
	Author = {N. Dalal and B. Triggs},
	Booktitle = cvpr,
	Title = {Histograms of Oriented Gradients for Human Detection},
	Year = {2005}}

@article{felzenszwalb09object,
	Author = {P. F. Felzenszwalb and R. B. Grishick and D. McAllester and D. Ramanan},
	Journal = pami,
	Title = {Object Detection with Discriminatively Trained Part Based Models},
	Year = {2009}}


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}
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}
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    background-color: #5d564e;
}
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    border-bottom: 2px #aaa solid ;
    border-left:   1px #aaa solid ;
    border-right:  2px #aaa solid ;
    margin-left: auto ;
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    font-weight: bold ;
    color: #183a60;
}
a {
    color: #004fdc;
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a.plain {
    text-decoration: inherit ! important ;
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}
b {
    color: rgb(40,40,40) ;
}
pre, code {
    font-family: 'Bitstream Vera Sans Mono', monospace ;
    /* color: #ff6f00; */
}
code {
    color: #BA2121 ;
}
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    font-weight: bold ;
    text-decoration: none ;
    color: inherit ! important ;
}
#pagebody {
    background-color: white ;
    padding-bottom: 1px ;
}
#content {
    overflow: hidden ;
    float: right ;
    width: 54em ;
    line-height: 1.4em ;
    padding-right: 2em ;
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    float: left ;
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    margin-top: .3em ;
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#sidebar li {
    list-style: none ; /* for buggy IE */
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#sidebar li li {
    font-weight: normal ;
    text-transform: none ;
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#sidebar li .active {
    background-color: #ccc ;
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    color: rgb(40,40,40) ;
    text-decoration: none ;
    padding: .2em;
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#sidebar li .active a {
    text-decoration: none ;
    padding: .2em;
}
#header {
    padding-left: 1em ;
    padding-bottom: 1em ;
    padding-top: 1em;
}
#header #cse-search-box {
    float: right ;
    margin-right: 1em ;
    margin-top: auto ;
    margin-bottom: auto ;
}
#headbanner {
    color: #5a5a5a ;
    background-color: #f6f6f6 ;
    padding: 0.4em 1em ;
    border-bottom: 1px solid #DDD ;
    font: bold 1.1em 'Trebuchet MS', Helvetica, sans-serif;
}
#header h1 {
    margin: 0 ;
    color: white ;
    font-family: 'Trebuchet MS', Helvetica, sans-serif ;
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    clear: both ;
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    margin: 1em ! important ;
    font-family: Lucida, Helvetica, sans-serif ;
    font-style: italic ;
    color: red ! important ;
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#google {
    float: right ;
    width: 50% ;
}

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#content h1,
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    margin: 1em 0 ;
    margin-top: 1.7em ;
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#content h6 {font-size:1.0em; margin-bottom: 0.5em;}
#content p,
#content blockquote,
#content div.figure,
#content div.p {
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    padding-right: 10em ;
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#content blockquote {
    margin: 1em ;
    font-family: Lucida, Helvetica, sans-serif ;
    font-style: italic ;
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#content pre {
    margin: 1em 0 ;
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#content div.highlight {
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#content div.highlight pre {
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    padding: 0.5em ;
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    /*display: block ;
      float: left ;*/
    font-weight: bold ;
    width: auto ;
    margin-right: 1em ;
    padding: 0 ;
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#content dd {
    display: block ;
    margin: 0.25em 0 ;
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#content div.caption span.content {
    display: inline-block ;
    text-align: left ;
    max-width: 40em ;
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    background-color: #f6f6f6 ;
    border: 1px solid #DDD ;
    padding: 0.5em ;
}
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    width: 100% ;
    border-spacing: 0em ;
    border-collapse: collapse ;
    margin: 0em ;
    padding: 0em ;
}
#content table.boxes td {
    width: 50% ;
    height: 100% ;
    vertical-align: top ;
}
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    height:100% ;
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    float: right ;
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    font-size: 1.2em ;
    /*text-align: center ;*/
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#content div.parbox blockquote,
#content div.pargox div.figure,
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}
vlfeat-0.9.16/docsrc/web.xml000066400000000000000000000165451203326130700156540ustar00rootroot00000000000000



 
 
 
 

 
 
 

  
  
    
      
    
    
  
  
 
 
  
   
  
  
   
  
  
   
   
   
   
  
  
   
  
 

 
  

  
   
    
    
   
  

  
   
    
    

     
    

   
  

  
   
    
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       tex2jax: {
       inlineMath: [ ['$','$'], ["\\(","\\)"] ],
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vlfeat-0.9.16/docsrc/webdoc.py000066400000000000000000001077551203326130700161760ustar00rootroot00000000000000#!/usr/bin/python
# file:        webdoc.py
# author:      Andrea Vedaldien
# description: Implementation of webdoc.

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

import types
import xml.sax
import xml.sax.saxutils
import re
import os
import sys
import random
import copy
import htmlentitydefs

from xml.sax.handler import ContentHandler
from xml.sax         import parse
from urlparse        import urlparse
from urlparse        import urlunparse
from optparse        import OptionParser

# this is used for syntax highlighting
try:
    import pygments
    import pygments.lexers
    import pygments.formatters
    has_pygments = True
except ImportError:
    has_pygments = False

usage = """webdoc [OPTIONS...] 

--outdir   Set output directory
--verbose  Be verbose
"""

parser = OptionParser(usage=usage)

parser.add_option(
    "-v", "--verbose",
    dest    = "verb",
    default = False,
    action  = "store_true",
    help    = "print debug informations")

parser.add_option(
    "-o", "--outdir",
    dest    = "outdir",
    default = "html",
    action  = "store",
    help    = "write output to this directory")

DOCTYPE_XHTML_TRANSITIONAL = \
    ''

# Create a dictonary that maps unicode characters to HTML entities
mapUnicodeToHtmlEntity = { }
for k, v in htmlentitydefs.name2codepoint.items():
    c = unichr(v)
    if c == u'&' or c == u'<' or c == u'>': continue
    mapUnicodeToHtmlEntity [c] = "&%s;"  % k

# This indexes the document nodes by ID
nodeIndex = { }

def getUniqueNodeID(id = None):
    """
    getUniqueNodeID() generates an unique ID for a document node.
    getUniqueNodeID(id) generates an unique ID adding a suffix to id.
    """
    if id is None: id = "id"
    uniqueId = id
    count = 0
    while 1:
        if uniqueId not in nodeIndex: break
        count += 1
        uniqueId = "%s-%d" % (id, count)
    return uniqueId

def dumpIndex():
    """
    Dump the node index, for debugging purposes.
    """
    for x in nodeIndex.itervalues():
      print x

def ensureDir(dirName):
    """
    Create the directory DIRNAME if it does not exsits.
    """
    if os.path.isdir(dirName):
        pass
    elif os.path.isfile(dirName):
        raise OSError("cannot create the direcory '%s'"
                      "because there exists already "
                      "a file with that name" % newdir)
    else:
        head, tail = os.path.split(dirName)
        if head and not os.path.isdir(head):
            ensureDir(head)
        if tail:
            os.mkdir(dirName)

def calcRelURL(toURL, fromURL):
    """
    Calculates a relative URL.
    """
    fromURL  = urlparse(fromURL)
    toURL    = urlparse(toURL)
    if not fromURL.scheme == toURL.scheme: return urlunparse(toURL)
    if not fromURL.netloc == toURL.netloc: return urlunparse(toURL)

    fromPath = fromURL.path.split("/")
    toPath   = toURL.path.split("/")
    for j in xrange(len(fromPath) - 1): fromPath[j] += u"/"
    for j in xrange(len(toPath)   - 1): toPath[j] += u"/"

    # abs path: ['/', 'dir1/', ..., 'dirN/', 'file']
    # rel path: ['dir1/', ..., 'dirN/', 'file']
    # path with no file: ['dir1/', ..., 'dirN/', '']

    # find common path (but do not count file name)
    i = 0
    while True:
        if i >= len(fromPath) - 1: break
        if i >= len(toPath) - 1: break
        if not fromPath[i] == toPath[i]: break
        i = i + 1

    # a/b/c/d.html  --> ../../../d.html
    # a/b//c/d.html --> ../../../d.html
    for j in xrange(len(fromPath) - 1):
        if len(fromPath[j]) > 1: fromPath[j] = u"../"
        else:                    fromPath[j] = u""

    fromPath = fromPath[i:-1]
    toPath = toPath[i:]
    relPath = u"".join(fromPath) + "".join(toPath)

    return urlunparse(("", "", relPath, "", "", toURL.fragment))

def walkNodes(rootNode, nodeType = None):
    for n in rootNode.getChildren():
        for m in walkNodes(n, nodeType):
            yield m
    if not nodeType or rootNode.isA(nodeType):
        yield rootNode

def walkAncestors(leafNode, nodeType = None):
    if not nodeType or leafNode.isA(nodeType):
        yield leafNode
    p = leafNode.getParent()
    if p:
        for m in walkAncestors(p, nodeType):
            yield m

# --------------------------------------------------------------------
class DocLocation:
# --------------------------------------------------------------------
    """
    A location consisting of a URL (file), a row number, and a column number.
    """
    def __init__(self, URL, row, column):
        self.URL = URL
        self.row = row
        self.column = column

    def __str__(self):
        return "%s:%d:%d" % (self.URL,
                             self.row,
                             self.column)

# --------------------------------------------------------------------
class DocError(BaseException):
# --------------------------------------------------------------------
    """
    An error consisting of a stack of locations and a message.
    """
    def __init__(self, message):
        BaseException.__init__(self,message)
        self.locations = []

    def __str__(self):
        str = ""
        if len(self.locations) > 0:
            for i in xrange(len(self.locations)-1,0,-1):
                str += "included from %s:\n" % self.locations[i]
            return str + "%s:%s" % (self.locations[0], BaseException.__str__(self))
        else:
            return self.message

    def appendLocation(self, location):
        self.locations.append(location)

# --------------------------------------------------------------------
class makeGuard(object):
# --------------------------------------------------------------------
    """
    Decorates the method of an DocNode object so that,
    on raising a DocError exception, the location of the node
    is appended to it.
    """

    def __init__(self, func):
        self.func = func

    def __call__(self, obj, *args, **keys):
        try:
            self.func(obj, *args, **keys)
        except DocError, e:
            e.appendLocation(obj.getLocation())

    def __get__(self, obj, type=None):
        return types.MethodType(self, obj, type)

# --------------------------------------------------------------------
class DocBareNode:
# --------------------------------------------------------------------
    """
    A node of the document tree without parent, children, or any
    other attribute. It is used to implement common leaf nodes such
    as text chunks.
    """
    def __init__(self): pass

    def isA(self, classInfo):
        """
        Returns TRUE if the node is of class CLASSINFO.
        """
        return isinstance(self, classInfo)

    def getChildren(self):
        """
        Returs an empty list
        """
        return []

    def setParent(self, parent): pass
    def getPublishDirName(self): pass
    def getPublishFileName(self): pass
    def getPublishURL(self): pass
    def publish(self, generator, pageNode = None): pass
    def publishIndex(self, gen, pageNode, openNodeStack): return False

# --------------------------------------------------------------------
class DocNode(DocBareNode):
# --------------------------------------------------------------------
    """
    A node of the document with a parent, childern, attributes, and
    additional meta-information such as the location
    of the XML element that caused this node to be generated.
    """
    def __init__(self, attrs, URL, locator):
        self.parent = None
        self.children = []
        self.attrs = attrs
        self.sourceURL = None
        self.sourceRow = None
        self.sourceColumn = None
        if attrs.has_key('id'):
            self.id = attrs['id']
        else:
            self.id = getUniqueNodeID()
        self.sourceURL = URL
        if locator:
            self.sourceRow = locator.getLineNumber()
            self.sourceColumn = locator.getColumnNumber()
        nodeIndex[self.id] = self

    def __str__(self):
        return "%s:%s" % (self.getLocation(), self.getID())

    def dump(self):
        """
        Recusively dump the tree of nodes, for debugging purposes.
        """
        depth = self.getDepth()
        print " " * depth, self
        for x in self.children: x.dump()

    def getID(self):
        """
        Return the node ID.
        """
        return self.id

    def getParent(self):
        """
        Return the node parent.
        """
        return self.parent

    def getChildren(self):
        """
        Return the list of node children.
        """
        return self.children

    def getAttributes(self):
        """
        Return the dictionary of node attributes.
        """
        return self.attrs

    def getDepth(self):
        """
        Return the depth of the node in the tree.
        """
        if self.parent:
            return self.parent.getDepth() + 1
        else:
            return 0

    def setParent(self, parent):
        """
        Set the parent of the node.
        """
        self.parent = parent

    def adopt(self, orfan):
        """
        Adds ORFAN to the node children and make the node the parent
        of ORFAN. ORFAN can also be a sequence of orfans.
        """
        self.children.append(orfan)
        orfan.setParent(self)

    def findAncestors(self, nodeType = None):
        """
        Return the node ancestors of type NODETYPE. If NODETYPE is
        None, returns all ancestors.
        """
        if nodeType is None:
            nodeType = DocNode
        if self.parent:
            if self.parent.isA(nodeType):
                found = [self.parent]
            else:
                found = []
            found = found + self.parent.findAncestors(nodeType)
            return found
        return []

    def findChildren(self, nodeType = None):
        """
        Returns the node chldren of type NODTYPE. If NODETYPE is None,
        returns all children.
        """
        if nodeType is None:
            nodeType = DocNode
        return [x for x in self.children if x.isA(nodeType)]

    def getLocation(self):
        """
        Get the location (file, row number, and column number)
        where this node was instanitated
        """
        location = DocLocation(self.sourceURL,
                               self.sourceRow,
                               self.sourceColumn)
        if self.parent:
            parentLocation = self.parent.getLocation()
            if location.URL is None: location.URL = parentLocation.URL
            if location.row is None: location.URL = parentLocation.row
            if location.column is None: location.URL = parentLocation.column
        return location

    def getPublishDirName(self):
        """
        Returns the publish dir name of the parent.
        """
        if self.parent:
            return self.parent.getPublishDirName()
        return None

    def getPublishFileName(self):
        """
        Returns NONE.
        """
        return None

    def getPublishURL(self):
        """
        Returns NONE.
        """
        return None

    def publish(self, generator, pageNode = None):
        """
        Recursively calls PUBLISH() on its children.
        """
        for c in self.getChildren():
            c.publish(generator, pageNode)
        return None

    def publishIndex(self, gen, pageNode, openNodeStack):
        """
        Recursively calls PUBLISHINDEX() on its children.
        """
        hasIndexedChildren = False
        for c in self.getChildren():
            hasIndexedChildren = c.publishIndex(gen, pageNode, openNodeStack) \
                or hasIndexedChildren
        return hasIndexedChildren

# --------------------------------------------------------------------
def expandAttr(value, pageNode):
# --------------------------------------------------------------------
    """
    Expand an attribute by substituting any directive with its value.
    """
    xvalue = ""
    next = 0
    for m in re.finditer("%[-\w._#:]+;", value):
        if next < m.start():
            xvalue += value[next : m.start()]
        next = m.end()
        directive = value[m.start()+1 : m.end()-1]
        mo = re.match('pathto:(.*)', directive)
        if mo:
            toNodeID = mo.group(1)
            toNodeURL = None
            if nodeIndex.has_key(toNodeID):
                toNodeURL = nodeIndex[toNodeID].getPublishURL()
            if toNodeURL is None:
                print "warning: could not cross-reference '%s'" % toNodeID
                toNodeURL = toNodeID
            fromPageURL = pageNode.getPublishURL()
            xvalue += calcRelURL(toNodeURL, fromPageURL)
            continue
        mo = re.match('env:(.*)', directive)
        if mo:
            envName = mo.group(1)
            if envName in os.environ:
                xvalue += os.environ[envName]
            else:
                print "warning: the environment variable '%s' not defined" % envName
            continue
        raise DocError(
            "unknown directive '%s' found while expanding an attribute" % directive)
    if next < len(value): xvalue += value[next:]
    #print "EXPAND: ", value, " -> ", xvalue
    return xvalue

# --------------------------------------------------------------------
class Generator:
# --------------------------------------------------------------------
    def __init__(self, rootDir):
        ensureDir(rootDir)
        self.fileStack = []
        self.dirStack = [rootDir]
        ensureDir(rootDir)
        #print "CD ", rootDir

    def open(self, filePath):
        filePath = os.path.join(self.dirStack[-1], filePath)
        fid = open(filePath, "w")
        self.fileStack.append(fid)
        fid.write(DOCTYPE_XHTML_TRANSITIONAL)
        #print "OPEN ", filePath

    def putString(self, str):
        fid = self.fileStack[-1]
        try:
            encoded = str.encode('latin-1')
            fid.write(encoded)
        except (UnicodeEncodeError, IOError), e:
            raise DocError(e.__str__())

    def putXMLString(self, str):
        fid = self.fileStack[-1]
        xstr = xml.sax.saxutils.escape(str, mapUnicodeToHtmlEntity)
        try:
            fid.write(xstr.encode('latin-1'))
        except:
            print "OFFENDING", str, xstr
            print mapUnicodeToHtmlEntity[str]
            raise

    def putXMLAttr(self, str):
        fid = self.fileStack[-1]
        xstr = xml.sax.saxutils.quoteattr(str)
        fid.write(xstr.encode('latin-1'))

    def close(self):
        self.fileStack.pop().close()
        #print "CLOSE"

    def changeDir(self, dirName):
        currentDir = self.dirStack[-1]
        newDir = os.path.join(currentDir, dirName)
        ensureDir(newDir)
        self.dirStack.append(newDir)
        #print "CD ", newDir

    def parentDir(self):
        self.dirStack.pop()
        #print "CD .."

    def tell(self):
        fid = self.fileStack[-1]
        return fid.tell()

    def seek(self, pos):
        fid = self.fileStack[-1]
        fid.seek(pos)

# --------------------------------------------------------------------
class DocInclude(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)
        if not attrs.has_key("src"):
            raise DocError("include missing 'src' attribute")
        self.filePath = attrs["src"]

    def __str__(self):
        return DocNode.__str__(self) + ":" \
            % xml.sax.saxutils.quoteattr(self.filePath)

# --------------------------------------------------------------------
class DocDir(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)
        if not attrs.has_key("name"):
            raise DocError("dir tag missing 'name' attribute")
        self.dirName = attrs["name"]

    def __str__(self):
        return DocNode.__str__(self) + ":" \
            % xml.sax.saxutils.quoteattr(self.dirName)

    def getPublishDirName(self):
        return self.parent.getPublishDirName() + self.dirName + os.sep

    def publish(self, generator, pageNode = None):
        generator.changeDir(self.dirName)
        DocNode.publish(self, generator, pageNode)
        generator.parentDir()

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocGroup(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)

    def __str__(self):
        return DocNode.__str__(self) + ":"

# --------------------------------------------------------------------
class DocCDATAText(DocBareNode):
# --------------------------------------------------------------------
    def __init__(self, text):
        DocBareNode.__init__(self)
        self.text = text

    def __str__(self):
        return DocNode.__str__(self) + ":CDATA text:" + self.text

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        if not pageNode: return
        gen.putString(self.text)

# --------------------------------------------------------------------
class DocCDATA(DocNode):
# --------------------------------------------------------------------
    def __init__(self):
        DocNode.__init__(self, {}, None, None)

    def __str__(self):
        return DocNode.__str__(self) + ":CDATA"

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        gen.putString("") ;

# --------------------------------------------------------------------
class DocHtmlText(DocBareNode):
# --------------------------------------------------------------------
    def __init__(self, text):
        DocBareNode.__init__(self)
        self.text = text

    def __str__(self):
        return DocNode.__str__(self) + ":text:'" + \
            self.text.encode('utf-8').encode('string_escape') + "'"

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        # find occurences of %directive; in the text node and do the
        # appropriate substitutions
        next = 0
        for m in re.finditer("%(\w+)(:.*)?;", self.text):
            if next < m.start():
                gen.putXMLString(self.text[next : m.start()])
            next = m.end()
            directive = self.text[m.start()+1 : m.end()-1]
            directive = m.group(1)

            if directive == "content":
                pageNode.publish(gen, pageNode)

            elif directive == "pagestyle":
                for s in pageNode.findChildren(DocPageStyle):
                    s.publish(gen, pageNode)

            elif directive == "pagescript":
                for s in pageNode.findChildren(DocPageScript):
                    s.publish(gen, pageNode)

            elif directive == "pagetitle":
                gen.putString(pageNode.title)

            elif directive == "path":
                ancPages = [x for x in walkAncestors(pageNode, DocPage)]
                ancPages.reverse()
                gen.putString(" - ".join([x.title for x in ancPages]))

            elif directive == "navigation":
                gen.putString("
    \n")
                openNodeStack = [x for x in walkAncestors(pageNode, DocPage)]
                siteNode = walkAncestors(pageNode, DocSite).next()
                siteNode.publishIndex(gen, pageNode, openNodeStack)
                gen.putString("
\n")

            elif directive == "env":
                envName = m.group(2)[1:]
                if envName in os.environ:
                    gen.putString(os.environ[envName])
                else:
                    print "warning: environment variable '%s' not defined" % envName
            else:
                print "warning: ignoring unknown directive '%s'" % label
        if next < len(self.text):
            gen.putXMLString(self.text[next:])

# --------------------------------------------------------------------
class DocCodeText(DocBareNode):
# --------------------------------------------------------------------
    def __init__(self, text):
        DocBareNode.__init__(self)
        self.text = text

    def __str__(self):
        return DocNode.__str__(self) + ":text:'" + \
            self.text.encode('utf-8').encode('string_escape') + "'"

# --------------------------------------------------------------------
class DocCode(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL = None, locator = None):
        DocNode.__init__(self, attrs, URL, locator)
        self.type = "plain"
        if attrs.has_key("type"): self.type = attrs["type"]

    def __str__(self):
        str = " type = " + self.type
        return DocNode.__str__(self) + ":" + str

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        code = ""
        for n in self.getChildren():
            if n.isA(DocCodeText):
                code = code + n.text
        if has_pygments and not self.type == "plain":
            try:
                lexer = pygments.lexers.get_lexer_by_name(self.type)
                gen.putString(pygments.highlight(code,
                                                 lexer,
                                                 pygments.formatters.HtmlFormatter()))
            except pygments.util.ClassNotFound:
                print "warning: could not find a syntax highlighter for '%s'" % self.type
                gen.putString("
" + code + "
")
        else:
            gen.putString("
" + code + "
")
        DocNode.publish(self, gen, pageNode)

# --------------------------------------------------------------------
class DocHtmlElement(DocNode):
# --------------------------------------------------------------------
    def __init__(self, tag, attrs, URL = None, locator = None):
        DocNode.__init__(self, attrs, URL, locator)
        self.tag = tag

    def __str__(self):
        str = ""
        return DocNode.__str__(self) + ":" + str

    def getPublishURL(self):
        anc = self.findAncestors(DocPage)
        if len(anc) == 0: return None
        return anc[0].getPublishURL() + "#" + self.id

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        gen.putString("<")
        gen.putString(self.tag)
        for name, value in self.attrs.items():
            gen.putString(" ")
            gen.putString(name)
            gen.putString("=")
            gen.putXMLAttr(expandAttr(value, pageNode))
        if self.tag == 'br':
            # workaround for browser that do not like 


            gen.putString("/>")
        else:
            gen.putString(">")
            DocNode.publish(self, gen, pageNode)
            gen.putString("")

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocTemplate(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)

    def publish(self, generator, pageNode = None):
        if pageNode is None: return
        DocNode.publish(self, generator, pageNode)

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocPageStyle(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        sa = self.getAttributes()
        if sa.has_key("href"):
            gen.putString("")
        else:
            gen.putString("")

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocPageScript(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)

    def publish(self, gen, pageNode = None):
        if pageNode is None: return
        sa = self.getAttributes()
        gen.putString("")

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocPage(DocNode):
# --------------------------------------------------------------------
    counter = 0

    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)
        DocPage.counter = 1 + DocPage.counter
        self.templateID = "template.default"
        self.name  = "page%d" % DocPage.counter
        self.title = "untitled"
        self.hide = False

        for k, v in self.attrs.items():
            if k == 'src':
                self.title = v
            elif k == 'name':
                self.name = v
            elif k == 'id':
                pass
            elif k == 'title':
                self.title = v
            elif k == 'hide':
                self.hide = (v.lower() == 'yes')
            else:
                raise DocError(
                    "web:page cannot have '%s' attribute" % k)

    def __str__(self):
        return DocNode.__str__(self) + ":" \
            % (xml.sax.saxutils.escape(self.name),
               xml.sax.saxutils.escape(self.title))

    def getPublishFileName(self):
        return self.name + ".html"

    def getPublishURL(self):
        siteNode = self.findAncestors(DocSite)[0]
        return siteNode.getPublishURL() + \
            self.getPublishDirName() + \
            self.getPublishFileName()

    def publish(self, generator, pageNode = None):
        if not pageNode:
            generator.open(self.getPublishFileName())
            templateNode = nodeIndex[self.templateID]
            templateNode.publish(generator, self)
            generator.close()
            DocNode.publish(self, generator, None)
        elif pageNode is self:
            DocNode.publish(self, generator, pageNode)

    def publishIndex(self, gen, pageNode, openNodeStack):
        if self.hide: return
        gen.putString("
  • ")
        gen.putXMLString(self.title)
        gen.putString("\n")
        pos = gen.tell()
        gen.putString("
      \n")
        hasIndexedChildren = False
        if len(openNodeStack) > 0 and self == openNodeStack[-1]:
            openNodeStack.pop()
            hasIndexedChildren = DocNode.publishIndex(self, gen, pageNode, openNodeStack)
        if hasIndexedChildren:
            gen.putString("
    ")
        else:
            gen.seek(pos)
        gen.putString("
    • \n")
        return True

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocSite(DocNode):
# --------------------------------------------------------------------
    def __init__(self, attrs, URL, locator):
        DocNode.__init__(self, attrs, URL, locator)
        self.siteURL = "http://www.foo.org/"
        self.outDir = "html"

    def __str__(self):
        return DocNode.__str__(self) + ":"

    def getPublishURL(self):
        return self.siteURL

    def getPublishDirName(self):
        return ""

    def getOutDir(self):
        return self.outDir

    def setOutDir(self, outDir):
        self.outDir = outDir

    def publish(self):
        generator = Generator(self.outDir)
        DocNode.publish(self, generator)

    publish = makeGuard(publish)

# --------------------------------------------------------------------
class DocHandler(ContentHandler):
# --------------------------------------------------------------------

    def __init__(self):
        ContentHandler.__init__(self)
        self.rootNode = None
        self.stack = []
        self.locatorStack = []
        self.filePathStack = []
        self.verbosity = 1
        self.inDTD = False

    def resolveEntity(self, publicid, systemid):
        """
        Resolve XML entities by mapping to a local copy of the (X)HTML
        DTDs.
        """
        return open(os.path.join(
                os.path.dirname(__file__),
                'dtd/xhtml1',
                systemid[systemid.rfind('/')+1:]), "rb")

    def lookupFile(self, filePath):
        if os.path.exists(filePath):
            return filePath
        if filePath[0] == '/':
            return None
        for path in self.filePathStack:
            dir = os.path.dirname(path)
            qualFilePath = os.path.join(dir, filePath)
            if os.path.exists(qualFilePath):
                return qualFilePath
        return None

    def makeError(self, message):
        e = DocError(message)
        for i in xrange(len(self.filePathStack)-1,-1,-1):
            URL = self.filePathStack[i]
            locator = self.locatorStack[i]
            e.appendLocation(DocLocation(URL,
                                         locator.getLineNumber(),
                                         locator.getColumnNumber()))
        return e

    def startElement(self, name, attrs):
        """
        SAX interface: starting of XML element.
        The function creates a new document node, i.e. a specialized
        class of DocNode for the type of XML element encountered. It then
        appends it as the head of the parsing stack for further processing."
        """
        # convert attrs to a dictionary (implicitly copies as required by the doc)
        attrs_ = {}
        for k, v in attrs.items():
            attrs_[k] = v
        attrs = attrs_

        URL = self.getCurrentFileName()
        locator = self.getCurrentLocator()

        # The  element is not parsed recusrively; instead
        # it simply switches to parsing the specified file.
        if name == "include":
            if not attrs.has_key("src"):
                raise self.makeError(" lacks the 'src' attribute")
            filePath = attrs["src"]
            qualFilePath = self.lookupFile(filePath)
            if qualFilePath is None:
                raise self.makeError("the file '%s' could not be found while expanding " % filePath)
            if self.verbosity > 0:
                print "parsing '%s'" % qualFilePath
            if attrs.has_key("type"):
                includeType = attrs["type"]
            else:
                includeType = "webdoc"
            if includeType == "webdoc":
                self.load(qualFilePath)
            elif includeType == "text":
                self.characters(open(qualFilePath, 'r').read())
            else:
                raise makeError("'%s' is not a valid  type" % includeType)
            return

        if len(self.stack) == 0:
            parent = None
        else:
            parent = self.stack[-1]
        node = None

        if name == "site":
            node = DocSite(attrs, URL, locator)
        elif name == "page":
            node = DocPage(attrs, URL, locator)
        elif name == "dir":
            node = DocDir(attrs, URL, locator)
        elif name == "template":
            node = DocTemplate(attrs, URL, locator)
        elif name == "pagestyle":
            node = DocPageStyle(attrs, URL, locator)
        elif name == "pagescript":
            node = DocPageScript(attrs, URL, locator)
        elif name == "group":
            node = DocGroup(attrs, URL, locator)
        elif name == "precode":
            node = DocCode(attrs, URL, locator)
        else:
            node = DocHtmlElement(name, attrs, URL, locator)

        if parent: parent.adopt(node)
        self.stack.append(node)

    def endElement(self, name):
        """
        SAX interface: closing of XML element.
        """
        if name == "include":
            return
        node = self.stack.pop()
        if len(self.stack) == 0:
            self.rootNode = node

    def load(self, qualFilePath):
        self.filePathStack.append(qualFilePath)
        parser = xml.sax.make_parser()
        parser.setContentHandler(self)
        parser.setEntityResolver(self)
        parser.setProperty(xml.sax.handler.property_lexical_handler, self)
        try:
            parser.parse(qualFilePath)
        except xml.sax.SAXParseException, e:
            raise self.makeError("XML parsing error: %s" % e.getMessage())

    def setDocumentLocator(self, locator):
        self.locatorStack.append(locator)

    def getCurrentLocator(self):
        if len(self.locatorStack) > 0:
            return self.locatorStack[-1]
        else:
            return None

    def characters(self, content):
        """
        SAX interface: characters.
        """
        parent = self.stack[-1]
        if parent.isA(DocCDATA):
            node = DocCDATAText(content)
        elif parent.isA(DocCode):
            node = DocCodeText(content)
        else:
            node = DocHtmlText(content)
        parent.adopt(node)

    def ignorableWhitespace(self, ws):
        self.characters(ws)

    def getCurrentFileName(self):
        return self.filePathStack[-1]

    def endDocument(self):
        self.locatorStack.pop()
        self.filePathStack.pop()

    def startCDATA(self):
        node = DocCDATA()
        self.stack[-1].adopt(node)
        self.stack.append(node)

    def endCDATA(self):
        node = self.stack.pop()
        if len(self.stack) == 0:
            self.rootNode = node

    def comment(self, body):
        if self.inDTD: return
        node = DocCDATAText("")
        self.stack[-1].adopt(node)

    def startEntity(self, name): pass
    def endEntity(self, name): pass

    def startDTD(self, name, public_id, system_id):
        self.inDTD = True

    def endDTD(self):
        self.inDTD = False

# --------------------------------------------------------------------
if __name__ == '__main__':
# --------------------------------------------------------------------
    (opts, args) = parser.parse_args()

    if not has_pygments and opts.verb:
        print "warning: pygments module not found: syntax coloring disabled"

    filePath = args[0]
    handler = DocHandler()
    try:
        handler.load(filePath)
    except DocError, e:
        print e
        sys.exit(-1)

    # configure
    handler.rootNode.setOutDir(opts.outdir)

    #print "== Index Content =="
    # dumpIndex()
    #print
    #print "== Node Tree =="
    #handler.rootNode.dump()

    print "== All pages =="
    for x in walkNodes(handler.rootNode, DocPage):
        print x

    print "== Publish =="
    try:
        handler.rootNode.publish()
    except DocError, e:
        print e
        sys.exit(-1)
    sys.exit(0)
vlfeat-0.9.16/docsrc/wikidoc.py000066400000000000000000000024551203326130700163530ustar00rootroot00000000000000#!/usr/bin/python

import sys,os

def usage():
    print "Usage:", sys.argv[0], " "
    print ""
    print "Replaces wiki documentation with documentation from html files"

def wikidoc(pagename, htmlfile):
    f = open(htmlfile)
    doclines = f.readlines()
    f.close()

    starttag = ""
    endtag   = ""
    doclines.insert(0, starttag + '\n')
    doclines.append('\n' + endtag + '\n')

    wikilines = []
    if os.path.exists(pagename):
        f = open(pagename)
        wikilines = f.readlines()
        f.close()

    startline = -1
    endline = -1
    for i in range(len(wikilines)):
        if wikilines[i].strip() == starttag and startline == -1: startline = i
        if wikilines[i].strip() == endtag   and endline == -1:   endline = i

    if startline == -1 or endline == -1 or startline >= endline:
        print "Wikidoc warning: Didn't find tags for", pagename
        startline = 0
        endline = 0

    wikilines = wikilines[:startline] + doclines + wikilines[endline+1:]
    f = open(pagename, 'w')
    f.writelines(wikilines)
    f.close()

if __name__ == '__main__':
    if len(sys.argv) != 3:
        usage()
        sys.exit(2)

    print "wikidoc: using", sys.argv[1], "for page", sys.argv[2]
    wikidoc(sys.argv[1], sys.argv[2])
vlfeat-0.9.16/make/000077500000000000000000000000001203326130700140025ustar00rootroot00000000000000vlfeat-0.9.16/make/bin.mak000066400000000000000000000052021203326130700152430ustar00rootroot00000000000000# file: bin.mak
# description: Build VLFeat command line utilities
# author: Andrea Vedaldi

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

all: bin-all
clean: bin-clean
archclean: bin-archclean
distclean: bin-distclean
info: bin-info

# --------------------------------------------------------------------
#                                                        Configuration
# --------------------------------------------------------------------

BIN_CFLAGS = $(STD_CFLAGS) -I$(VLDIR)
BIN_LDFLAGS = $(STD_LDFLAGS) -L$(BINDIR) -lvl

# Mac OS X Intel 32
ifeq ($(ARCH),maci)
endif

# Mac OS X Intel 64
ifeq ($(ARCH),maci64)
endif

# Linux-32
ifeq ($(ARCH),glnx86)
BIN_LDFLAGS += -Wl,--rpath,\$$ORIGIN/
endif

# Linux-64
ifeq ($(ARCH),glnxa64)
BIN_LDFLAGS += -Wl,--rpath,\$$ORIGIN/
endif

# --------------------------------------------------------------------
#                                                                Build
# --------------------------------------------------------------------

# On Mac OS X the library install_name is prefixed with @loader_path/.
# At run time this causes the loader to search for a local copy of the
# library for any binary which is linked against it. The install_name
# can be modified later by install_name_tool.

bin_src := $(wildcard $(VLDIR)/src/*.c)
bin_tgt := $(addprefix $(BINDIR)/, $(patsubst %.c,%,$(notdir $(bin_src))))
bin_dep := $(addsuffix .d, $(bin_tgt))

deps += $(bin_dep)
arch_bins += $(bin_tgt)
comm_bins +=

.PHONY: bin-all, bin-info
.PHONY: bin-clean, bin-archclean, bin-distclean
no_dep_targets += bin-dir bin-clean bin-archclean bin-distclean
no_dep_targets += bin-info

bin-all: $(dll-dir) $(dll_tgt) $(bin_tgt)

# BIN_LDFLAGS includes the libraries to link to and must be
# specified after the object "$<" that uses them. If not, stricter
# linkers (e.g. --as-needed option with the GNU toolchain)
# will break as they will not include the dependencies. See
# also http://wiki.debian.org/ToolChain/DSOLinking

$(BINDIR)/% : $(VLDIR)/src/%.c
	$(call C,CC) $(BIN_CFLAGS) "$<" $(BIN_LDFLAGS) -o "$@"

$(BINDIR)/%.d : $(VLDIR)/src/%.c $(dll-dir)
	$(call C,CC) $(BIN_CFLAGS) -M -MT  \
	       '$(BINDIR)/$* $(BINDIR)/$*.d' \
	       "$<" -MF "$@"

bin-clean:
	rm -f $(bin_dep)

bin-archclean: bin-clean

bin-distclean:

bin-info:
	$(call echo-title,Command line utilities)
	$(call dump-var,bin_src)
	$(call dump-var,bin_tgt)
	$(call dump-var,bin_dep)
	$(call echo-var,BIN_CFLAGS)
	$(call echo-var,BIN_LDFLAGS)
	@echo

# Local variables:
# mode: Makefile
# End:
vlfeat-0.9.16/make/dist.mak000066400000000000000000000200011203326130700154300ustar00rootroot00000000000000# file: dist.mak
# description: Build VLFeat DLL
# author: Andrea Vedaldi

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

clean: dist-bin-clean
archclean: dist-bin-archclean
distclean: dist-bin-distclean dist-src-distclean
info: dist-bin-info dist-src-info

# --------------------------------------------------------------------
#                                                        Configuration
# --------------------------------------------------------------------

GIT ?= git
RSYNC ?= rsync

NAME := vlfeat
VER := $(shell cat vl/generic.h | sed -n \
    's/.*VL_VERSION_STRING.*\"\([0-9.]*\)\".*/\1/p')
DIST := $(NAME)-$(VER)
BINDIST := $(DIST)-bin
HOST := vlfeat-admin:vlfeat.org/sandbox

# --------------------------------------------------------------------
#                                                 Build source package
# --------------------------------------------------------------------

.PHONY: dist-src, dist-src-clean, dist-src-info
no_dep_targets += dist-src, dist-src-clean, dist-src-info

dist-src:
	COPYFILE_DISABLE=1 \
	COPY_EXTENDED_ATTRIBUTES_DISABLE=1 \
	$(GIT) archive --prefix=$(NAME)-$(VER)/ v$(VER) | gzip > $(DIST).tar.gz

dist-src-distclean:
	rm -f $(DIST).tar.gz

dist-src-info:
	$(call echo-title,Source distribution)
	$(call echo-var,DIST)
	@echo

# --------------------------------------------------------------------
#                                                 Build binary package
# --------------------------------------------------------------------

# dist-bin-release: Rebuild binaries with optimizations and no debug
#   symbols.
#
# dist-bin-commit: Creates a new vXX.XX.XX-ARCH branch with the
#   binaries and pushes it to the remote called bin.
#
# dist-bin-commit-common: Creates a new vXX.XX.XX-common branch with
#   the architecture-independent parts of VLFeat.
#
# dist-bin-merge: Creates a new vXX.XX.XX-bin branch by merging the
#   architecture specific binary branches and adding additional
#   files. It then pushes the result to the remote called bin.
#
# dist-bin: Packs the commit remotes/bin/vXX.XX.XX-bin.
#
# dist-src: Packs the commit vXX.XX.XX.

.PHONY: dist-bin, dist-bin-release, dist-bin-commit, dist-bin-info
.PHONY: dist-bin-clean, dist-bin-archclean, dist-bin-distclean
no_dep_targets += dist-bin dist-bin-release dist-bin-commit dist-bin-info
no_dep_targets += dist-bin-clean dist-bin-archclean dist-bin-distclean

dist-bin-release: tmp-dir=tmp-$(NAME)-$(VER)-$(ARCH)
dist-bin-release:
	@echo Cloning VLFeat ;
	test -e "$(tmp-dir)" || $(GIT) clone --no-checkout . "$(tmp-dir)" ; \
	$(GIT) --git-dir="$(tmp-dir)/.git" config remote.bin.url $$($(GIT) config --get remote.bin.url) ; \
	$(GIT) --git-dir="$(tmp-dir)/.git" config remote.origin.url $$($(GIT) config --get remote.origin.url) ;
	@echo Checking out v$(VER) ;
	cd "$(tmp-dir)" ; $(GIT) fetch origin --tags ;
	cd "$(tmp-dir)" ; $(GIT) fetch origin ;
	cd "$(tmp-dir)" ; $(GIT) checkout v$(VER) ;
	echo Rebuilding binaries for release ;
	make -C "$(tmp-dir)" ARCH=$(ARCH) all

dist-bin-commit: tmp-dir=tmp-$(NAME)-$(VER)-$(ARCH)
dist-bin-commit: branch=v$(VER)-$(ARCH)
dist-bin-commit: dist-bin-release
	@echo Setting $(branch) to v$(VER) ;
	cd "$(tmp-dir)" ; $(GIT) branch -f $(branch) v$(VER) ;
	cd "$(tmp-dir)" ; $(GIT) checkout $(branch) ;
	@echo Adding binaries to $(branch) ;
	cd "$(tmp-dir)" ; $(GIT) add -f $(arch_bins) ;
	cd "$(tmp-dir)" ; \
	if test -z "$$($(GIT) diff --cached)" ; \
	then \
	  echo No changes to commit ; \
	  exit 1 ; \
	else  \
	  echo Commiting changes ; \
	  $(GIT) commit -m "$(ARCH) binaries for version $(VER)" ; \
	  echo Pushing $(branch) to the server ; \
	  $(GIT) push -v --force bin $(branch):refs/heads/$(branch) ; \
	fi

dist-bin-commit-common: tmp-dir=tmp-$(NAME)-$(VER)-$(ARCH)
dist-bin-commit-common: branch=v$(VER)-common
dist-bin-commit-common: dist-bin-release
	@echo Building doc
	make -C "$(tmp-dir)" ARCH=$(ARCH) doc-deep
	@echo Setting up $(branch) to v$(VER) ;
	cd "$(tmp-dir)" ; $(GIT) branch -f $(branch) v$(VER)
	cd "$(tmp-dir)" ; $(GIT) checkout $(branch)
	@echo Adding products to $(branch)
	cd "$(tmp-dir)" ; $(GIT) add -f $(m_lnk)
	cd "$(tmp-dir)" ; $(GIT) add -f $$(find doc \
	-name '*.html' -or -name '*.jpg' -or -name '*.png' -or -name '*.css')
	cd "$(tmp-dir)" ; \
	if test -z "$$($(GIT) diff --cached)" ; \
	then \
	  echo No changes to commit ; \
	  exit 1 ; \
	else \
	  echo Commiting changes ; \
	  $(GIT) commit -m "common products for $(VER)" ; \
	  echo Pushing $(branch) to the server ; \
	  $(GIT) push -v --force bin $(branch):refs/heads/$(branch); \
	fi

dist-bin-merge: tmp-dir=tmp-$(NAME)-$(VER)-merge
dist-bin-merge: branch=v$(VER)-bin
dist-bin-merge:
	@echo Cleaning up merge directory
	rm -rf "$(tmp-dir)"
	@echo Cloning VLFeat
	$(GIT) clone --no-checkout . "$(tmp-dir)" ;
	$(GIT) --git-dir=$(tmp-dir)/.git config remote.bin.url $$($(GIT) config --get remote.bin.url) ;
	$(GIT) --git-dir=$(tmp-dir)/.git config remote.origin.url $$($(GIT) config --get remote.origin.url) ;
	echo Creating or resetting and checking out branch $(branch) to v$(VER);
	cd "$(tmp-dir)" ; $(GIT) fetch origin --tags ;
	cd "$(tmp-dir)" ; $(GIT) fetch origin ;
	cd "$(tmp-dir)" ; $(GIT) checkout v$(VER) ;
	cd "$(tmp-dir)" ; $(GIT) branch -f $(branch) v$(VER) ;
	cd "$(tmp-dir)" ; $(GIT) checkout $(branch) ;
	cd "$(tmp-dir)" ; \
	MERGE_BRANCHES=; \
	FETCH_BRANCHES=; \
	for ALT_ARCH in common maci maci64 glnx86 glnxa64 win32 win64 ; \
	do \
	  MERGE_BRANCH=v$(VER)-$$ALT_ARCH ; \
	  MERGE_BRANCHES="$$MERGE_BRANCHES bin/$$MERGE_BRANCH" ; \
	  FETCH_BRANCHES="$$FETCH_BRANCHES $$MERGE_BRANCH:remotes/bin/$$MERGE_BRANCH" ; \
	done ; \
	echo Fetching binaries ; \
	echo $(GIT) fetch -f bin $$FETCH_BRANCHES ; \
	$(GIT) fetch -f bin $$FETCH_BRANCHES ; \
	echo merging $$MERGE_BRANCHES ; \
	$(GIT) merge -m "Merged binaries $$MERGE_BRANCHES" $$MERGE_BRANCHES ;
	echo Pushing to server the merged binaries ; \
	cd "$(tmp-dir)" ; $(GIT) push -v --force bin $(branch):refs/heads/$(branch) ;

dist-bin: branch=v$(VER)-bin
dist-bin:
	echo Fetching binaries ; \
	$(GIT) fetch -f bin $(branch):remotes/bin/$(branch) ; \
	echo Creating archive ; \
	COPYFILE_DISABLE=1 \
	COPY_EXTENDED_ATTRIBUTES_DISABLE=1 \
	$(GIT) archive --prefix=$(NAME)-$(VER)/ bin/v$(VER)-bin | gzip > $(BINDIST).tar.gz

dist-bin-clean:

dist-bin-archclean:
	rm -rf tmp-$(NAME)-$(VER)-$(ARCH)

dist-bin-distclean:
	rm -rf tmp-$(NAME)-$(VER)-*
	rm -f $(BINDIST).tar.gz

dist-bin-info:
	$(call echo-title,Binary distribution)
	$(call dump-var,arch_bins)
	$(call dump-var,comm_bins)
	$(call echo-var,NAME)
	$(call echo-var,BINDIST)
	@echo

# --------------------------------------------------------------------
#                                             Post packages on the web
# --------------------------------------------------------------------

.PHONY: post, post-doc

post:
	$(RSYNC)                                                     \
	    -aP $(DIST).tar.gz $(BINDIST).tar.gz                     \
	    $(HOST)/download

post-doc: doc
	$(RSYNC)                                                     \
	      --recursive                                            \
	      --perms                                                \
	      --group=lab                                            \
	      --chmod=Dg+s,g+w,o-w                                   \
	      --exclude=*.eps                                        \
	      --progress                                             \
	      --exclude=download                                     \
	      --exclude=cvpr10wiki                                   \
	      --exclude=benchmarks                                   \
	      --exclude=man-src                                      \
	      --exclude=mdoc.build                                   \
	      --exclude=.htaccess                                    \
	      --exclude=favicon.ico                                  \
	      --delete                                               \
	      doc/ $(HOST)

# Local variables:
# mode: Makefile
# End:
vlfeat-0.9.16/make/dll.mak000066400000000000000000000071221203326130700152510ustar00rootroot00000000000000# file: dll.mak
# description: Build VLFeat DLL
# author: Andrea Vedaldi

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

all: dll-all
clean: dll-clean
archclean: dll-archclean
distclean: dll-distclean
info: dll-info

# --------------------------------------------------------------------
#                                                        Configuration
# --------------------------------------------------------------------

DLL_NAME = vl

DLL_CFLAGS  = $(STD_CFLAGS)
DLL_CFLAGS += -fvisibility=hidden -fPIC -DVL_BUILD_DLL -pthread
DLL_CFLAGS += $(call if-like,%_sse2,$*,-msse2)

DLL_LDFLAGS += -lm

BINDIR = bin/$(ARCH)

# Mac OS X on Intel 32 bit processor
ifeq ($(ARCH),maci)
DLL_SUFFIX := dylib
endif

# Mac OS X on Intel 64 bit processor
ifeq ($(ARCH),maci64)
DLL_SUFFIX := dylib
endif

# Linux-32
ifeq ($(ARCH),glnx86)
DLL_SUFFIX := so
endif

# Linux-64
ifeq ($(ARCH),glnxa64)
DLL_SUFFIX := so
endif

# --------------------------------------------------------------------
#                                                                Build
# --------------------------------------------------------------------

# On Mac OS X the library install_name is prefixed with @loader_path/.
# At run time this causes the loader to search for a local copy of the
# library for any binary which is linked against it. The install_name
# can be modified later by install_name_tool.

dll_tgt := $(BINDIR)/lib$(DLL_NAME).$(DLL_SUFFIX)
dll_src := $(wildcard $(VLDIR)/vl/*.c)
dll_hdr := $(wildcard $(VLDIR)/vl/*.h)
dll_obj := $(addprefix $(BINDIR)/objs/, $(notdir $(dll_src:.c=.o)))
dll_dep := $(dll_obj:.o=.d)

arch_bins += $(dll_tgt)
comm_bins +=
deps += $(dll_dep)

.PHONY: dll
.PHONY: dll-all, dll-clean, dll-archclean, dll-distclean
.PHONY: dll-info
no_dep_targets += dll-dir dll-clean dll-archclean dll-distclean
no_dep_targets += dll-info

dll-all: dll
dll: $(dll_tgt)

# generate the dll-dir target
$(eval $(call gendir, dll, $(BINDIR) $(BINDIR)/objs))

$(BINDIR)/objs/%.o : $(VLDIR)/vl/%.c $(dll-dir)
	$(call C,CC) $(DLL_CFLAGS)                                   \
	       -c "$(<)" -o "$(@)"

$(BINDIR)/objs/%.d : $(VLDIR)/vl/%.c $(dll-dir)
	$(call C,CC) $(DLL_CFLAGS)                                   \
	       -M -MT '$(BINDIR)/objs/$*.o $(BINDIR)/objs/$*.d'      \
	       "$(<)" -MF "$(@)"

$(BINDIR)/lib$(DLL_NAME).dylib : $(dll_obj)
	$(call C,LIBTOOL) -dynamic                                   \
                    -flat_namespace                                  \
                    -install_name @loader_path/lib$(DLL_NAME).dylib  \
	            -compatibility_version $(VER)                    \
                    -current_version $(VER)                          \
                    -syslibroot $(SDKROOT)                           \
		    -macosx_version_min $(MACOSX_DEPLOYMENT_TARGET)  \
	            -o $@ -undefined suppress $^                     \
	            $(DLL_LDFLAGS)


$(BINDIR)/lib$(DLL_NAME).so : $(dll_obj)
	$(call C,CC) $(DLL_CFLAGS) -shared $(^) -o $(@) $(DLL_LDFLAGS)

dll-clean:
	rm -f $(dll_dep) $(dll_obj)

dll-archclean: dll-clean
	rm -rf $(BINDIR)

dll-distclean:
	rm -rf bin

dll-info:
	$(call echo-title,VLFeat core library)
	$(call dump-var,dll_hdr)
	$(call dump-var,dll_src)
	$(call dump-var,dll_obj)
	$(call dump-var,dll_dep)
	$(call echo-var,BINDIR)
	$(call echo-var,DLL_NAME)
	$(call echo-var,DLL_CFLAGS)
	$(call echo-var,DLL_LDFLAGS)
	$(call echo-var,DLL_SUFFIX)
	$(call echo-var,LIBTOOL)
	@echo

# Local variables:
# mode: Makefile
# End:
vlfeat-0.9.16/make/doc.mak000066400000000000000000000203451203326130700152450ustar00rootroot00000000000000# file: doc.mak
# description: Makefile submodule to build the documentation
# author: Andrea Vedaldi

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

info: doc-info
clean: doc-clean
distclean: doc-distclean
archclean: doc-archclean

# --------------------------------------------------------------------
#                                                        Configuration
# --------------------------------------------------------------------

CONVERT    ?= convert
DOXYGEN    ?= doxygen
DVIPNG     ?= dvipng
DVIPS      ?= dvips
EPSTOPDF   ?= epstopdf
FIG2DEV    ?= fig2dev
LATEX      ?= latex
PYTHON     ?= python
GROFF      ?= groff
TIDY       ?= tidy
INKSCAPE   ?= inkscape
MV         ?= mv
SED        ?= sed

# 95 DPI makes a letter page 808 pixels large
screen_dpi := 95

# --------------------------------------------------------------------
#                                                                Build
# --------------------------------------------------------------------

.PHONY: doc, doc-api, doc-toolbox, doc-figures, doc-man
.PHONY: doc-web, doc-demo, doc-deep
.PHONY: doc-clean, doc-archclean, doc-distclean
.PHONY: autorights
no_dep_targets := doc-clean doc-archclean doc-distclean

fig_src  := $(wildcard docsrc/figures/*.fig)
svg_src  := $(wildcard docsrc/figures/*.svg)
demo_src := $(wildcard doc/demo/*.eps)
html_src := $(wildcard docsrc/*.html)
man_src  := $(wildcard src/*.1)
man_src  += $(wildcard src/*.7)

pdf_tgt := #$(fig_src:.fig=.pdf)
eps_tgt := #$(subst docsrc/,doc/,$(fig_src:.fig=.eps))
png_tgt := $(subst docsrc/,doc/,$(fig_src:.fig=.png)) $(subst docsrc/,doc/,$(svg_src:.svg=.png)) 
jpg_tgt := $(demo_src:.eps=.jpg)
img_tgt := $(jpg_tgt) $(png_tgt) $(pdf_tgt) $(eps_tgt)
man_tgt := $(subst src/,doc/man-src/,$(addsuffix .html,$(man_src)))

# generate doc-dir: target
$(eval $(call gendir, doc, doc doc/demo doc/figures doc/man-src))

# generate results-dir: target
$(eval $(call gendir, results, results))

VERSION: vl/generic.h
	echo "$(VER)" > VERSION

doc: doc-api doc-man doc-web
doc-man: doc/man-src/man.xml doc/man-src/man.html
doc-api: doc/api/index.html
doc-web: doc/index.html
doc-toolbox: doc/mdoc.build/mdoc.html

doc-deep: all $(doc-dir) $(results-dir)
	cd toolbox ; \
	$(MATLAB_EXE) -$(ARCH) -nodesktop -r "clear mex;vl_setup demo;vl_demo;exit"
	$(MAKE) doc

#
# Use webdoc.py to generate the website
#

doc/index.html: \
 doc/mdoc.build/mdoc.html \
 doc/man-src/man.xml \
 doc/man-src/man.html \
 docsrc/web.xml \
 docsrc/web.css \
 docsrc/webdoc.py \
 $(img_tgt) $(html_src)
	VERSION=$(VER) $(PYTHON) docsrc/webdoc.py --outdir=doc \
	     docsrc/web.xml --verbose
	rsync -rv docsrc/images doc/
	cp -v docsrc/web.css doc/
	cp -v docsrc/pygmentize.css doc/
	cp -v docsrc/doxygen.css doc/
	cp -v doc/mdoc.build/helptoc.xml doc/mdoc/
	rsync -rv doc/mdoc.build/helpsearch doc/mdoc/

ifdef MATLAB_PATH
doc/index.html: doc/mdoc.build/helpsearch/deletable
endif

# make documentation searchable in MATLAB
doc/mdoc.build/helpsearch/deletable: doc/mdoc.build/htmltoc.xml
	$(MATLAB_EXE) -$(ARCH) -nodisplay -r "builddocsearchdb('doc/mdoc.build/') ; exit"

#
# Use mdoc.py to create the toolbox documentation that will be
# embedded in the website.
#

doc/mdoc.build/mdoc.html doc/mdoc.build/htmltoc.xml: $(m_src) \
docsrc/mdoc.py make/doc.mak
	$(PYTHON) docsrc/mdoc.py toolbox doc/mdoc.build \
	          --format=web \
	          --exclude='noprefix/.*' \
                  --exclude='xtune/.*' \
                  --exclude='xtest/.*' \
	          --exclude='.*/vl_test_.*' \
	          --exclude='.*/vl_demo_.*' \
	          --exclude='.*/vl_tune_.*' \
	          --helptoc \
	          --helptoc-toolbox-name VLFeat \
	          --verbose
#
# Generate C API documentation. Doxygen should run after Webdoc
# because it replaces in place the file doc/api/index.html constructed
# by the latter. Running Webdoc after Doxygen will overwrite this file.
#

doc/doxygen_header.html doc/doxygen_footer.html: doc/index.html
	cat doc/api/index.html | \
	sed -n '//q;p'  > doc/doxygen_header.html
	echo '
    ' >> doc/doxygen_header.html
	cat doc/api/index.html | \
	sed -n '//,$$p' > doc/doxygen_footer.html

doc/api/index.html: docsrc/doxygen.conf docsrc/vlfeat.bib VERSION    \
  $(dll_src) $(dll_hdr) $(img_tgt) toolbox/mexutils.h                \
  doc/doxygen_header.html doc/doxygen_footer.html
	#$(call C,DOXYGEN) $<
	ln -sf docsrc/vlfeat.bib vlfeat.bib
	$(DOXYGEN) $< 2>&1 | sed -e 's/Warning:/warning: /g'
	rm vlfeat.bib

#
# Generate Man documentation
#

doc/man-src/man.xml : $(man_tgt) $(doc-dir)
	echo "" > "$@"
	for fullName in $(man_src) ; \
	do  \
	  fileName=$${fullName#src/} ; \
	  stem=$${fileName%.*} ; \
	  ( \
	    echo "" ; \
	    echo "" ; \
	    echo "" \
	  ) >> "$@" ; \
	done
	echo "" >> "$@"

doc/man-src/man.html : $(man_tgt) $(doc-dir)
	echo "
      " > "$@"
	for fullName in $(man_src) ; \
	do  \
	  fileName=$${fullName#src/} ; \
	  stem=$${fileName%.*} ; \
	  echo "
    • $${stem}
      • " >> "$@" ; \
	done
	echo "
    " >> "$@"

doc/man-src/%.html : src/% $(doc-dir)
	( \
	  echo '' ; \
	  echo "" ; \
	  $(GROFF) -mandoc -Thtml < "$<" | \
	    $(TIDY) -asxhtml | \
	    sed -e '1,// d' -e '/<\/body>/,$$ d' ; \
	  echo "" \
	)  > "$@"

doc/man-src/index.html : $(doc-dir)

#
# Convert figure formats
#

doc-figures: $(img_tgt)

doc/figures/%.png : doc/figures/%.dvi
	$(call C,DVIPNG) -D $(screen_dpi) -T tight -o $@ $<

doc/figures/%.eps : doc/figures/%.dvi
	$(call C,DVIPS) -E -o $@ $<

doc/figures/%-raw.tex : docsrc/figures/%.fig
	$(call C,FIG2DEV) -L pstex_t -p doc/figures/$*-raw.ps $< $@

doc/figures/%-raw.ps doc/figures/%-raw.tex: docsrc/figures/%.svg
	$(call C,INKSCAPE) --export-ps=doc/figures/$(*)-raw.ps --export-latex $<
	$(call C,MV) doc/figures/$(*)-raw.ps_tex doc/figures/$(*)-raw.tex
	$(call C,SED) -e 's/$(*)-raw.ps/doc\/figures\/$(*)-raw.ps/g' -i .bak 'doc/figures/$(*)-raw.tex'

doc/figures/%-raw.ps : docsrc/figures/%.fig
	$(call C,FIG2DEV) -L pstex $< $@

doc/figures/%.dvi doc/figures/%.aux doc/figures/%.log :              \
  doc/figures/%.tex doc/figures/%-raw.tex doc/figures/%-raw.ps $(doc-dir)
	$(LATEX) -output-directory=$(dir $@) $<

doc/figures/%.tex : $(doc-dir)
	@$(print-command GEN, $@)
	@/bin/echo '\documentclass[landscape]{article}' >$@
	@/bin/echo '\usepackage[margin=0pt]{geometry}' >>$@
	@/bin/echo '\usepackage{graphicx,color}'       >>$@
	@/bin/echo '\begin{document}'                  >>$@
	@/bin/echo '\pagestyle{empty}'                 >>$@
	@/bin/echo '\input{doc/figures/$(*)-raw.tex}'  >>$@
	@/bin/echo '\end{document}'	               >>$@

doc/demo/%.jpg : doc/demo/%.eps
	$(call C,CONVERT) -density 400 -resample $(screen_dpi)  "$<" -colorspace rgb jpg:$@

doc/demo/%.png : doc/demo/%.eps
	$(call C,CONVERT) -density 400 -resample $(screen_dpi)  "$<" -colorspace rgb png:$@

doc/%.pdf : doc/%.eps
	$(call C,EPSTOPDF) --outfile=$@ $<

#
# Other documentation related targets
#

doc-clean:
doc-archclean:
doc-distclean:
	rm -f  docsrc/*.pyc
	rm -rf doc

# --------------------------------------------------------------------
#                                                       Debug Makefile
# --------------------------------------------------------------------

.PHONY: doc-info
doc-info :
	$(call echo-title,Documentation)
	$(call dump-var,man_src)
	$(call dump-var,fig_src)
	$(call dump-var,demo_src)
	$(call dump-var,bin_src)
	$(call dump-var,bin_tgt)
	$(call dump-var,bin_dep)
	$(call dump-var,pdf_tgt)
	$(call dump-var,eps_tgt)
	$(call dump-var,png_tgt)
	$(call dump-var,jpg_tgt)
	$(call dump-var,man_tgt)
	$(call dump-var,DOXYGEN)
	@echo

# --------------------------------------------------------------------
#                                                        Xcode Support
# --------------------------------------------------------------------

.PHONY: dox-
dox- : dox

.PHONY: dox-clean
dox-clean:

# Local variables:
# mode: Makefile
# End:
vlfeat-0.9.16/make/matlab.mak000066400000000000000000000156431203326130700157450ustar00rootroot00000000000000# file: matlab.mak
# description: Build MATALB toolbox
# author: Andrea Vedaldi

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

# MATLAB support is enabled if $(MEX) is executable and if MATLAB root
# can be deduced from the output of `$(MEX) -v`. Therefore setting MEX to
# the empty string disables MATLAB support.

MEX ?= mex
MATLAB_PATH ?= $(strip $(shell test "$$(command -v '$(MEX)')" && \
  $(MEX) -v 2>&1 | sed -n 's/.*MATLAB *= *\(.*\)/\1/gp'))
MATLAB_EXE ?= "$(MATLAB_PATH)/bin/matlab"

# if expand to empty string, set to empty string for use with ifdef
ifeq ($(MATLAB_PATH),)
MATLAB_PATH=
endif

ifdef MATLAB_PATH
all: mex-all matlab-all
clean: mex-clean matlab-clean
archclean: mex-archclean matlab-archclean
distclean: mex-distclean matlab-distclean
endif

info: mex-info matlab-info

MEX_ARCH = $(ARCH)

MEX_CFLAGS = -I$(VLDIR) -I$(VLDIR)/toolbox
MEX_LDFLAGS = -L$(BINDIR) -lvl

MEX_FLAGS = $(MEXFLAGS)
MEX_FLAGS += -$(MEX_ARCH) -largeArrayDims
MEX_FLAGS += $(if $(DEBUG), -g, -O)
MEX_FLAGS += $(if $(PROFILE), -O -g,)
MEX_FLAGS += CFLAGS='$$CFLAGS $(STD_CFLAGS)'

# Mac OS X on Intel 32 bit processor
ifeq ($(ARCH),maci)
MEX_SUFFIX := mexmaci
MEX_FLAGS += LDFLAGS='$$LDFLAGS $(STD_LDFLAGS)'
MEX_FLAGS += CC='$(CC)'
MEX_FLAGS += LD='$(CC)'
endif

# Mac OS X on Intel 64 bit processor
ifeq ($(ARCH),maci64)
MEX_SUFFIX := mexmaci64
MEX_FLAGS += LDFLAGS='$$LDFLAGS $(STD_LDFLAGS)'
MEX_FLAGS += CC='$(CC)'
MEX_FLAGS += LD='$(CC)'
endif

# Linux on 32 bit processor
ifeq ($(ARCH),glnx86)
MEX_FLAGS += LDFLAGS='$$LDFLAGS $(STD_LDFLAGS) -Wl,--rpath,\\\$$ORIGIN/'
MEX_SUFFIX := mexglx
endif

# Linux on 64 bit processorm
ifeq ($(ARCH),glnxa64)
MEX_FLAGS += LDFLAGS='$$LDFLAGS $(STD_LDFLAGS) -Wl,--rpath,\\\$$ORIGIN/'
MEX_SUFFIX := mexa64
endif

MEX_BINDIR := toolbox/mex/$(MEX_SUFFIX)

# --------------------------------------------------------------------
#                                                         Sanity check
# --------------------------------------------------------------------

err_no_mex_suffix  = $(shell echo "** Could not set MEX_SUFFIX for ARCH = $(ARCH)"  1>&2)
err_no_mex_suffix +=no_mex_suffix

ifeq ($(MEX_SUFFIX),)
die:=$(error $(err_no_mex_suffix))
endif

# --------------------------------------------------------------------
#                                                                Build
# --------------------------------------------------------------------

.PHONY: mex-all, mex-dir, mex-info, mex-test
.PHONY: mex-clean, mex-distclean, mex-archclean
no_dep_targets += mex-dir mex-info mex-test
no_dep_targets += mex-clean mex-distclean mex-archclean

mex_src := $(shell find $(VLDIR)/toolbox -name "*.c")
mex_tgt := $(addprefix $(MEX_BINDIR)/,\
	   $(notdir $(mex_src:.c=.$(MEX_SUFFIX)) ) )
mex_dep := $(mex_tgt:.$(MEX_SUFFIX)=.d)
mex_dll := $(MEX_BINDIR)/lib$(DLL_NAME).$(DLL_SUFFIX)

ifdef MATLAB_PATH
arch_bins += $(mex_tgt) $(MEX_BINDIR)/lib$(DLL_NAME).$(DLL_SUFFIX)
comm_bins +=
deps += $(mex_dep)
endif

vpath vl_%.c $(shell find $(VLDIR)/toolbox -type d)

mex-all: $(mex_dll) $(mex_tgt)

# generate mex-dir target
$(eval $(call gendir, mex, $(MEX_BINDIR)))

$(mex_dll) : $(dll_tgt) $(mex-dir)
	cp -v "$(<)" "$(@)"

$(MEX_BINDIR)/%.d : %.c $(mex-dir)
	$(call C,CC) \
	       $(MEX_CFLAGS) \
	       -I"$(MATLAB_PATH)/extern/include" -M -MT \
	       '$(MEX_BINDIR)/$*.$(MEX_SUFFIX) $(MEX_BINDIR)/$*.d' \
	       "$(<)" -MF "$(@)"

$(MEX_BINDIR)/%.$(MEX_SUFFIX) : %.c $(mex-dir)
	$(call C,MEX) \
	       $(MEX_FLAGS) \
               $(MEX_CFLAGS) \
               "$(<)" \
	       $(MEX_LDFLAGS) \
	       -outdir "$(dir $(@))"

mex-info:
	$(call echo-title,MATLAB support)
	$(if $(MATLAB_PATH),\
	  @echo "MATLAB support enabled (MEX found)",\
	  @echo "MATLAB support disabled (MEX not found)")
	$(call dump-var,mex_src)
	$(call dump-var,mex_tgt)
	$(call dump-var,mex_dep)

mex-clean:
	rm -f $(mex_dep)

mex-archclean: mex-clean
	rm -rf $(MEX_BINDIR)

mex-distclean:
	rm -rf "toolbox/mex" ;

# --------------------------------------------------------------------
#                                                  Prefix-less M files
# --------------------------------------------------------------------
# Populate the directory toolbox/noprefix with links to the MEX / M
# files without the vl_ prefix.

m_src := $(shell find $(VLDIR)/toolbox -name "vl_*.m")
m_lnk := $(addprefix toolbox/noprefix/,                              \
          $(filter-out setup.m,                                      \
          $(filter-out help.m,                                       \
          $(filter-out version.m,                                    \
          $(filter-out root.m,                                       \
          $(filter-out demo.m,                                       \
          $(filter-out compile.m,                                    \
          $(filter-out test_%,                                       \
          $(filter-out demo_%,                                       \
          $(filter-out tune_%,                                       \
          $(subst vl_,,$(notdir $(m_src)))))))))))))
m_lnk += $(addprefix toolbox/noprefix/,                              \
	  $(subst, $(MEX_SUFFIX),.m,$(subst vl_,,$(notdir $(mex_tgt)))))

vpath vl_%.m $(shell find $(VLDIR)/toolbox -type d)

.PHONY: matlab-all, matlab-noprefix, matlab-info
.PHONY: matlab-clean, matlab-archclean, matlab-distclean
no_dep_targets += matlab-all matlab-noprefix matlab-info
no_dep_targets += matlab-clean matlab-archclean matlab-distclean

ifdef MATLAB_PATH
arch_bins +=
comm_bins += $(m_lnk)
deps +=
endif

matlab-all: matlab-noprefix

# generate matlab-noprefix-dir target
$(eval $(call gendir, matlab-noprefix, toolbox/noprefix))

matlab-noprefix: $(matlab-noprefix-dir) $(m_lnk)

toolbox/noprefix/%.m : vl_%.m
	@upperName=`echo "$*" | tr [a-z]  [A-Z]` ;                   \
	echo "function varargout = $*(varargin)" > "$@" ;            \
	cat "$<" | sed -n -e '/^function/b' -e '/^%.*$$/p'           \
             -e '/^%.*$$/b' -e q >> "$@" ;                           \
	echo "[varargout{1:nargout}] = vl_$*(varargin{:});" >> "$@" ;

matlab-test:
	@echo "Testing Matlab toolbox" ; \
	cd toolbox ; \
	RESULT=$$(\
	$(MATLAB_EXE) -$(ARCH) -nodesktop -r \
	"vl_setup('xtest','verbose') ; vl_test ; exit") ; \
	echo "$$RESULT" ; \
	if test -n "$$(echo \"$$RESULT\" | grep \"failed\")" ; \
	then \
	  echo "Matlab toolbox test encountered an error!" ; \
	  exit 1 ; \
	else \
	  echo "Matlab toolbox test completed successfully!" ; \
	fi

matlab-info:
	$(call dump-var,m_src)
	$(call dump-var,m_lnk)
	$(call echo-var,mex_dll)
	$(call echo-var,MATLAB_PATH)
	$(call echo-var,MATLAB_EXE)
	$(call echo-var,MEX)
	$(call echo-var,MEX_FLAGS)
	$(call echo-var,MEX_CFLAGS)
	$(call echo-var,MEX_LDFLAGS)
	@echo

matlab-clean:

matlab-archclean: matlab-clean

matlab-distclean:
	rm -rf toolbox/noprefix

# Emacs:
# Local variables:
# mode: Makefile
# End:
vlfeat-0.9.16/make/octave.mak000066400000000000000000000074261203326130700157660ustar00rootroot00000000000000# file: octave.mak
# description: Build MEX files for GNU Octave
# author: Andrea Vedaldi

# Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
# All rights reserved.
#
# This file is part of the VLFeat library and is made available under
# the terms of the BSD license (see the COPYING file).

# Octave support is experimental. Currently, the MEX files compile
# successfully but a number of bugs and subtle MATLAB
# imcompatibilities make VLFeat not fully functional.
#
# Octave support is enabled if $(MKOCTFILE) is executable. Therefore
# setting MKOCTFILE to the empty string disables Octave support.

OCTAVE ?= octave
MKOCTFILE ?=
OCTAVE_ENABLE ?= $(strip $(shell type -P $(MKOCTFILE) 2>&1 >/dev/null && \
                   $(MKOCTFILE) -p OCTAVE_LIBS 2>&1 | \
                   grep octave))

# if expand to empty string, set to empty string for use with ifdef
ifeq ($(OCTAVE_ENABLE),)
OCTAVE_ENABLE=
endif

ifdef OCTAVE_ENABLE
all: octave-all
clean: octave-clean
archclean: octave-archclean
distclean: octave-distclean
endif

info: octave-info

OCTAVE_MEX_SUFFIX := mex
OCTAVE_MEX_BINDIR := toolbox/mex/octave
OCTAVE_MEX_FLAGS =
OCTAVE_MEX_CFLAGS = $(STD_CFLAGS) -I$(VLDIR)/toolbox
OCTAVE_MEX_LDFLAGS = $(STD_LDFLAGS) -L$(BINDIR) -lvl

# Mac OS X on Intel 32 bit processor
ifeq ($(ARCH),maci)
OCTAVE_MEX_LDFLAGS += -m32
endif

# Mac OS X on Intel 64 bit processor
ifeq ($(ARCH),maci64)
endif

# Linux on 32 bit processor
ifeq ($(ARCH),glnx86)
OCTAVE_MEX_LDFLAGS += -Wl,--rpath,\\\$$ORIGIN/
endif

# Linux on 64 bit processor
ifeq ($(ARCH),glnxa64)
OCTAVE_MEX_LDFLAGS += -Wl,--rpath,\\\$$ORIGIN/
endif

# --------------------------------------------------------------------
#                                                                Build
# --------------------------------------------------------------------

.PHONY: octave-all, octave-mex-all, octave-mex-dir, octave-info
.PHONY: octave-clean octave-archclean octave-distclean
no_dep_targets += octave-info
no_dep_targets += octave-clean octave-archclean octave-distclean

octave_mex_src := $(shell find $(VLDIR)/toolbox -name "*.c")
octave_mex_tgt := $(addprefix $(OCTAVE_MEX_BINDIR)/,\
	   $(notdir $(mex_src:.c=.$(OCTAVE_MEX_SUFFIX)) ) )
octave_mex_dep := $(octave_mex_tgt:.$(OCTAVE_MEX_SUFFIX)=.d)

ifdef OCTAVE_ENABLE
deps += $(octave_mex_dep)
endif

vpath %.c $(shell find $(VLDIR)/toolbox -type d)
vpath vl_%.m $(shell find $(VLDIR)/toolbox -type d)

octave-all: octave-mex-all
octave-mex-all: $(octave_mex_tgt) matlab-noprefix

# generate octave-mex-dir target
$(eval $(call gendir, octave-mex, $(OCTAVE_MEX_BINDIR)))

$(OCTAVE_MEX_BINDIR)/%.d : %.c $(octave-mex-dir)
	$(call C,MKOCTFILE) $(OCTAVE_MEX_FLAGS) -M "$(<)"
	@mv "$(<:.c=.d)" $(OCTAVE_MEX_BINDIR)

$(OCTAVE_MEX_BINDIR)/%.$(OCTAVE_MEX_SUFFIX) : %.c $(octave-mex-dir)
	@make -s $(dll_tgt)
	@ln -sf "../../../$(BINDIR)/lib$(DLL_NAME).$(DLL_SUFFIX)" \
	        "$(OCTAVE_MEX_BINDIR)/lib$(DLL_NAME).$(DLL_SUFFIX)"
	CFLAGS="$(OCTAVE_MEX_CFLAGS)" \
	CXXFLAGS="$(OCTAVE_MEX_CXXFLAGS)" \
	LDFLAGS="$(OCTAVE_MEX_LDFLAGS)" \
	 $(MKOCTFILE) \
	       --mex $(OCTAVE_MEX_FLAGS) \
	       "$(<)" --output "$(@)"
	@rm -f $(<:.c=.o)

octave-info:
	$(call echo-title,Octave support)
	$(if $(OCTAVE_ENABLE),\
	  @echo "OCTAVE support enabled (MKOCTFILE found)",\
	  @echo "OCTAVE support disabled (MKOCTFILE not found)")
	$(call dump-var,octave_mex_src)
	$(call dump-var,octave_mex_tgt)
	$(call dump-var,octave_mex_dep)
	$(call echo-var,OCTAVE)
	$(call echo-var,MKOCTFILE)
	$(call echo-var,OCTAVE_MEX_BINDIR)
	$(call echo-var,OCTAVE_MEX_FLAGS)
	$(call echo-var,OCTAVE_MEX_CFLAGS)
	$(call echo-var,OCTAVE_MEX_LDLAGS)
	@echo

octave-clean:
	rm -f $(octave_mex_dep)

octave-archclean: octave-clean
	rm -f $(octave_mex_tgt)

octave-distclean: octave-archclean
	rm -rf toolbox/mex/octave

# Emacs:
# Local variables:
# mode: Makefile
# End:
vlfeat-0.9.16/make/update-mak.sh000077500000000000000000000035451203326130700164000ustar00rootroot00000000000000#!/bin/bash
# file:        update-mak.sh
# description: Helper script to update Makefile.mak
# author:      Andrea Vedaldi

# AUTORIGHTS

# This script updates Makefile.mak based on the current source tree
# and version in vl/generic.h. It saves the new version to
# Makefile.mak.new.

function make
{
    # sed below removes the trailing '\' from the last entry
    (
        printf '%s \\\n' "$1 ="
        find "$2" \
            -name '*.c' \
            -not -path 'vl/doc/*' \
            |  tr '/' '\' | while read -r x
        do
            printf '  %s \\\n' "$x"
        done
    ) | sed '$s/ *\\$//'
    echo
}

function sub
{
    # Put substitution text at the beginning. Then sed puts the
    # beginning in its hold buffer, finds the paragraph starting with
    # "$2 =", deletes all but the last lines of it and substititue the
    # last line with the hold buffer. It also removes trailing
    # whitespaces.
    (make "$2" "$3" ; echo "$1") | \
        sed -e '1{h;d;}' \
            -e '2,/^$/{H;d;}' \
            -e "/$2 =/,/^$/{/^$/!d;g;}" \
            -e 's/ *$//'
}

function subv
{
    # Substitutes VER = x.x.x with the new version string.
    echo "$1" | sed -e "/VER *=/s/\(\([0-9][0-9]*\.\{0,1\}\)\{3\}\)/$2/"
}

# source version string from vl/generic.h
ver=$(cat vl/generic.h | sed -n \
    's/.*VL_VERSION_STRING.*\"\([0-9.]*\)\".*/\1/p')

# source current nmake script
a=$(cat Makefile.mak)

# updaetes version string
a=$(subv "$a" "$ver")

# updates hard-wired list of source code files in the nmake script
a=$(sub "$a" libsrc vl)
a=$(sub "$a" cmdsrc src)
a=$(sub "$a" mexsrc toolbox)

echo "$a" > Makefile.mak.new

diffs=$(diff Makefile.mak Makefile.mak.new)
if [ -z "$diffs" ]
then
    echo "Makefile.mak is up to date"
    rm Makefile.mak.new
else
    echo "Makefile.mak should be updated to Makefile.mak.new"
    echo "Differences:"
    echo "$diffs"
fi
vlfeat-0.9.16/src/000077500000000000000000000000001203326130700136545ustar00rootroot00000000000000vlfeat-0.9.16/src/aib.c000066400000000000000000000024461203326130700145610ustar00rootroot00000000000000/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

int main()
{
    vl_uint32 nrows = 10;
    vl_uint32 ncols = 3;
    double Pic[3*10] = {
    0.6813,    0.3028,    0.8216,
    0.3795,    0.5417,    0.6449,
    0.8318,    0.1509,    0.8180,
    0.5028,    0.6979,    0.6602,
    0.7095,    0.3784,    0.3420,
    0.4289,    0.8600,    0.2897,
    0.3046,    0.8537,    0.3412,
    0.1897,    0.5936,    0.5341,
    0.1934,    0.4966,    0.7271,
    0.6822,    0.8998,    0.3093,
    };

    vl_uint32 r,c;
    VlAIB * aib;
    vl_uint * parents;

    printf("Pic = [");
    for(r=0; r %d\n", r, parents[r]);

      vl_aib_delete(aib);
    }
    /* free(Pic); */

    printf("IB done\n");
    return 0;
}
vlfeat-0.9.16/src/check.h000066400000000000000000000013301203326130700150770ustar00rootroot00000000000000/** @file   check.h
 ** @brief  Unit test utilties
 ** @author Andrea Vedaldi
 **/

#ifndef __CHECK_H__
#define __CHECK_H__

#include 
#include 
#include 

static void
check_impl (int condition,
            const char * file,
            int line,
            const char * format, ...)
{
  va_list args;
  va_start(args, format) ;
  if (! condition) {
    fprintf(stderr, "%s:%d: check failed: ", file, line) ;
    vfprintf(stderr, format, args) ;
    fprintf(stderr, "\n") ;
    exit (1) ;
  }
  va_end(args) ;
}

#define check(condition, ...) \
check_impl(condition, __FILE__, __LINE__, "" __VA_ARGS__)

#define check_signoff() \
fprintf(stdout, "%s passed\n", __FILE__)

/* __CHECK_H__ */
#endif
vlfeat-0.9.16/src/generic-driver.h000066400000000000000000000143771203326130700167460ustar00rootroot00000000000000/** @author   Andrea Vedaldi
 ** @brief    Support for command line drivers - Definition.
 ** @internal
 **
 ** This file contains support code which is shared by the command
 ** line drivers.
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_GENERIC_DRIVER
#define VL_GENERIC_DRIVER

#include 
#include 

#include 
#include 

/** @brief File meta information
 **/
struct _VlFileMeta
{
  vl_bool active ;          /**< Is the file active? */
  char    pattern [1024] ;  /**< File name pattern */
  int     protocol ;        /**< File protocol */

  char    name [1024] ;     /**< Current file name */
  FILE *  file ;            /**< Current file stream */
} ;

/** @brief File meta information type
 ** @see ::_VlFileMeta
 **/
typedef struct _VlFileMeta VlFileMeta ;

/* ----------------------------------------------------------------- */
/** @brief Parse argument for file meta information
 **
 ** @param optarg  argument to parse.
 ** @param self      structure to initalize.
 **
 ** The function parses the string @a optarg to fill the structure @a
 ** self. @a optarg is supposed to be composed of two parts: a file
 ** protocol specification and a file pattern. Then the function:
 **
 ** - Sets VlFileMeta::active to true.
 ** - Sets VlFileMeta::protocol to the file protocol id (if any).
 ** - Sets VlFileMeta::pattern  to the file pattern (if any).
 **
 ** @return error code. The funciton may fail either because the file
 ** protocol is not recognized (::VL_ERR_BAD_ARG) or because the file
 ** pattern is too long to be stored (::VL_ERR_OVERFLOW).
 **/
static int
vl_file_meta_parse (VlFileMeta * self, char const * optarg)
{
  vl_size q ;
  self->active = 1 ;

  if (optarg) {
    int protocol ;
    char const * arg = vl_string_parse_protocol (optarg, &protocol) ;

    /* parse the (optional) protocol part */
    switch (protocol) {
    case VL_PROT_UNKNOWN :
      return VL_ERR_BAD_ARG  ;

    case VL_PROT_ASCII  :
    case VL_PROT_BINARY :
      self->protocol = protocol ;
      break ;

    case VL_PROT_NONE :
      break ;
    }

    if (vl_string_length (arg) > 0) {
      q = vl_string_copy
        (self->pattern, sizeof (self->pattern), arg) ;

      if (q >= sizeof(self->pattern)) {
        return VL_ERR_OVERFLOW ;
      }
    }

  }
  return VL_ERR_OK ;
}

/* ----------------------------------------------------------------- */
/** @brief Open the file associated to meta information
 **
 ** @param self        File meta information.
 ** @param basename  Basename.
 ** @param mode      Opening mode (as in @c fopen).
 **
 ** @return error code. The error may be either either
 ** ::VL_ERR_OVERFLOW if the file name is too long or to ::VL_ERR_IO
 ** if the file cannot be opened.
 **/

static int
vl_file_meta_open (VlFileMeta * self, char const * basename, char const * mode)
{
  vl_size q ;

  if (! self->active) {
    return VL_ERR_OK ;
  }

  q = vl_string_replace_wildcard (self->name,
                                  sizeof(self->name),
                                  self -> pattern,
                                  '%', '\0',
                                  basename) ;

  if (q >= sizeof(self->name)) {
    vl_get_thread_specific_state()->lastError = VL_ERR_OVERFLOW ;
    return -1 ;
  }

  if (self->active) {
    self->file = fopen (self->name, mode) ;
    if (! self->file) {
      vl_get_thread_specific_state()->lastError = VL_ERR_IO ;
      return -1 ;
    }
  }
  return 0 ;
}

/* ----------------------------------------------------------------- */
/** @brief Close the file associated to meta information
 **
 ** @param self File meta information.
 **/
static void
vl_file_meta_close (VlFileMeta * self)
{
  if (self -> file) {
    fclose (self -> file) ;
    self -> file = 0 ;
  }
}

/* ----------------------------------------------------------------- */
/** @brief Write double to file
 **
 ** @param self   File meta information.
 ** @param x    Datum to write.
 **
 ** @return error code. The function returns ::VL_ERR_ALLOC if the
 ** datum cannot be written.
 **/

VL_INLINE int
vl_file_meta_put_double (VlFileMeta * self, double x)
{
  int err ;
  size_t n ;
  double y ;

  switch (self -> protocol) {

  case VL_PROT_ASCII :
    err = fprintf (self -> file, "%g ", x) ;
    break ;

  case VL_PROT_BINARY :
    vl_swap_host_big_endianness_8 (&y, &x) ;
    n = fwrite (&y, sizeof(double), 1, self -> file) ;
    err = n < 1 ;
    break ;

  default :
    abort() ;
  }

  return err ? VL_ERR_ALLOC : VL_ERR_OK ;
}

/* ----------------------------------------------------------------- */
/** @brief Write uint8 to file
 **
 ** @param self   File meta information.
 ** @param x    Datum to write.
 **
 ** @return error code. The function returns ::VL_ERR_ALLOC if the
 ** datum cannot be written.
 **/

VL_INLINE int
vl_file_meta_put_uint8 (VlFileMeta *self, vl_uint8 x)
{
  size_t n ;
  int err ;

  switch (self -> protocol) {

  case VL_PROT_ASCII :
    err = fprintf (self -> file, "%d ", x) ;
    if (err) return VL_ERR_ALLOC ;
    break ;

  case VL_PROT_BINARY :
    n = fwrite (&x, sizeof(vl_uint8), 1, self -> file) ;
    if (n < 1) return VL_ERR_ALLOC ;
    break ;

  default :
    abort() ;
  }

  return VL_ERR_OK ;
}

/* ----------------------------------------------------------------- */
/** @brief Read double from file
 **
 ** @param self  File meta information.
 ** @param x   Datum read.
 **
 ** @return error code. The function returns ::VL_ERR_EOF if the
 ** end-of-file is reached and ::VL_ERR_BAD_ARG if the file is
 ** malformed.
 **/

VL_INLINE int
vl_file_meta_get_double (VlFileMeta *self, double *x)
{
  int err ;
  size_t n ;
  double y ;

  switch (self -> protocol) {

  case VL_PROT_ASCII :
    err = fscanf (self -> file, " ") ;
    if (err == EOF) return VL_ERR_EOF ;
    err = fscanf (self -> file, "%lg", x) ;
    if (err == EOF) return VL_ERR_EOF ;
    if (err <  1  ) return VL_ERR_BAD_ARG ;
    break ;

  case VL_PROT_BINARY :
    n = fread (&y, sizeof(double), 1, self -> file) ;
    if (n < 1) return VL_ERR_BAD_ARG ;
    vl_swap_host_big_endianness_8 (x, &y) ;
    break ;

  default :
    abort() ;
  }

  return VL_ERR_OK ;
}



/* VL_GENERIC_DRIVER */
#endif
vlfeat-0.9.16/src/mser.1000066400000000000000000000077111203326130700147120ustar00rootroot00000000000000.TH MSER 1 "" "VLFeat" "VLFeat"
.\" ------------------------------------------------------------------
.SH NAME
.\" ------------------------------------------------------------------
mser \- Maximally Stable Extremal Regions
.\" ------------------------------------------------------------------
.SH SYNOPSIS
.\" ------------------------------------------------------------------
.B mser
.RI [ options ]
FILE .\|.\|.
.\" ------------------------------------------------------------------
.SH OPTIONS
.\" ------------------------------------------------------------------
.TP
.B \-v\fR,\fP \-\^\-verbose
Increase verbosity level (may be repeated).
.TP
.B \-h\fR,\fP \-\^\-help
Show options and version.
.TP
.BI \-\^\-seeds \fR[=\fPFILESPEC\fR]\fP
Enable/specify seeds output.
.TP
.BI \-\^\-frames \fR[=\fPFILESPEC\fR]\fP
Enable/specify frames output.
.TP
.BI \-\^\-meta \fR[=\fPFILESPEC\fR]\fP
Enable/specify meta output.
.TP
.BI \-d " REAL" "\fR,\fP \-\^\-delta" "=REAL"
Specify delta parameter.
.TP
.BI \-\^\-min-area \fR=\fPREAL
Specify minimum region area.
.TP
.BI \-\^\-max-area \fR=\fPREAL
Specify maximum region area.
.TP
.BI \-\^\-max-variation \fR=\fPREAL
Specify maximum region variation.
.TP
.BI \-\^\-min-diversity \fR=\fPREAL
Specify minimum region diversity.
.\" ------------------------------------------------------------------
.SH DESCRIPTION
.\" ------------------------------------------------------------------
.B mser
computes the 
.I Maximally Stable Extremal Regions (MSER)
\. In the simplest case,
.B mser 
reads an image file (in PGM format), computes the MSERs, and writes
them to a file of region seeds. Alternatively, the
.B --frames
option can be used to compute elliptical frames instead of region seeds.
It is also possible to use
.B --frames
and
.B --seeds
in combination to save both seeds and frames.
.
.P
A 
.IR region\ seed 
is and index pointing to one of the image pixels (pixels are
enumerated in row major order, with 0 corresponding to the upper-left
corner of the image). An MSER containing a given seed is the largest
connect subset of pixels whose value is not smaller than the seed
value.
.
.P
A 
.IR frame 
is an ellipse approximating an MSER and is specified by 5 floating
point numbers: coordinate of the center
.I x
and
.I y,
and elements
.IR S11 ,
.IR S12 ,
.IR S22
of the co-variance matrix. 
.P
Both seeds and frames can be saved either in ascii or binary format, based
on the specified 
.IR FILESPEC s
(see also
.BR vlfeat (7)):
.
.TP
Ascii format
.
Each seed is a decimal number, one per line of text, and each
frame is a list of 6 floating point numbers, one per line of text.
.
.TP 
Binary format
.
The binary format is similar to the ascii format, except that each
seed is stored as a unsigned integer (four bytes) and each frame
component is stored as an IEEE double (eight bytes). The data is
written in little endian order.
.
.P
.B mser
can process multiple images. In this case the names of the
corresponding output files are calculated based on
.IR FILESPEC s.
.\" ------------------------------------------------------------------
.SH EXAMPLES
.\" ------------------------------------------------------------------
.
.TP
mser test.pgm -d 5
Computes the MSERs of image
.I test.pgm
setting the parameter
.I delta
to 5
and save the result as a sequence of region seeds to
.IR test.mser .
.TP
mser test.pgm \-\^\-frames
Computes the MSERs of image
.IR test.pgm , 
fits elliptical frames to them and saves the frames to
.IR test.frame .
.
.TP
mser test.pgm \-\^\-frames=bin:///tmp/%.frame \-\^\-seeds
Computes the MSERs of image
.IR test.pgm , 
fits elliptical frames to them and saves
the frames to 
.I /tmp/test.frame
and the region seeds to
.IR test.mser .
.
.\" ------------------------------------------------------------------
.SH SEE ALSO
.\" ------------------------------------------------------------------
.P
.BR vlfeat (7)
.
.P
J. Matas, O. Chum, M. Urban, and T. Pajdla. 
Robust wide baseline stereo from maximally stable extremal regions. In
.IR "Proc. BMVC" , 
2002.
.
vlfeat-0.9.16/src/mser.c000066400000000000000000000416521203326130700147760ustar00rootroot00000000000000/** @file     mser-driver.c
 ** @author   Andrea Vedaldi
 ** @brief    MSER command line driver - Definition
 ** @internal
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#define VL_MSER_DRIVER_VERSION 0.2

#include "generic-driver.h"

#include 
#include 
#include 
#include 
#include 

#include 
#include 
#include 

/* ----------------------------------------------------------------- */
/* help message */
char const help_message [] =
  "Usage: %s [options] files ...\n"
  "\n"
  "Options include:\n"
  " --verbose -v     Be verbose\n"
  " --help -h        Print this help message\n"
  " --seeds          Specify seeds file\n"
  " --frames         Specify frames file\n"
  " --meta           Specify meta file\n"
  " --delta -d       Specify MSER delta paramter\n"
  " --epsilon -e     Specify MSER epsilon parameter\n"
  " --no-dups        Remove duplicate\n"
  " --dups           Keep duplicates\n"
  " --max-area       Specify maximum region (relative) area\n"
  " --min-area       Specify minimum region (relative) area\n"
  " --max-variation  Specify maximum absolute region stability\n"
  " --bright-on-dark Enable or disable bright-on-dark regions (default 1)\n"
  " --dark-on-bright Enable or disable dark-on-bright regions (default 1)\n"
  "\n" ;

/* ----------------------------------------------------------------- */
/* long options codes */
enum {
  opt_seed    = 1000,
  opt_frame,
  opt_meta,
  opt_max_area,
  opt_min_area,
  opt_max_variation,
  opt_min_diversity,
  opt_bright,
  opt_dark
} ;

/* short options */
char const opts [] = "vhd:" ;

/* long options */
struct option const longopts [] = {
  { "verbose",         no_argument,            0,          'v'               },
  { "help",            no_argument,            0,          'h'               },
  { "delta",           required_argument,      0,          'd'               },
  { "seeds",           optional_argument,      0,          opt_seed          },
  { "frames",          optional_argument,      0,          opt_frame         },
  { "meta",            optional_argument,      0,          opt_meta          },
  { "max-area",        required_argument,      0,          opt_max_area      },
  { "min-area",        required_argument,      0,          opt_min_area      },
  { "max-variation",   required_argument,      0,          opt_max_variation },
  { "min-diversity",   required_argument,      0,          opt_min_diversity },
  { "bright-on-dark",  required_argument,      0,          opt_bright        },
  { "dark-on-bright",  required_argument,      0,          opt_dark          },
  { 0,                 0,                      0,          0                 }
} ;


/* ----------------------------------------------------------------- */
/** @brief MSER driver entry point
 **/
int
main(int argc, char **argv)
{
  /* algorithm parameters */
  double   delta         = -1 ;
  double   max_area      = -1 ;
  double   min_area      = -1 ;
  double   max_variation = -1 ;
  double   min_diversity = -1 ;
  int      bright_on_dark = 1 ;
  int      dark_on_bright = 1 ;

  vl_bool  err    = VL_ERR_OK ;
  char     err_msg [1024] ;
  int      n ;
  int      exit_code = 0 ;
  int      verbose = 0 ;

  VlFileMeta frm  = {0, "%.frame", VL_PROT_ASCII, "", 0} ;
  VlFileMeta piv  = {0, "%.mser",  VL_PROT_ASCII, "", 0} ;
  VlFileMeta met  = {0, "%.meta",  VL_PROT_ASCII, "", 0} ;

#define ERRF(msg, arg) {                                             \
    err = VL_ERR_BAD_ARG ;                                           \
    snprintf(err_msg, sizeof(err_msg), msg, arg) ;                   \
    break ;                                                          \
  }

#define ERR(msg) {                                                   \
    err = VL_ERR_BAD_ARG ;                                           \
    snprintf(err_msg, sizeof(err_msg), msg) ;                        \
    break ;                                                          \
}

  /* ------------------------------------------------------------------
   *                                                      Parse options
   * --------------------------------------------------------------- */
  while (!err) {
    int ch = getopt_long(argc, argv, opts, longopts, 0) ;

    /* If there are no files passed as input, print the help and settings */
    if (ch == -1 && argc - optind == 0)
      ch = 'h';

    /* end of option list? */
    if (ch == -1) break;

    /* process options */
    switch (ch) {

      /* .......................................................... */
    case '?' :
      ERRF("Invalid option '%s'.", argv [optind - 1]) ;
      break ;

    case ':' :
      ERRF("Missing mandatory argument for option '%s'.",
          argv [optind - 1]) ;
      break ;

    case 'h' :
      printf (help_message, argv [0]) ;
      printf ("MSERs  filespec: `%s'\n", piv.pattern) ;
      printf ("Frames filespec: `%s'\n", frm.pattern) ;
      printf ("Meta   filespec: `%s'\n", met.pattern) ;
      printf ("Version: driver %s; libvl %s\n",
              VL_XSTRINGIFY(VL_MSER_DRIVER_VERSION),
              vl_get_version_string()) ;
      exit (0) ;
      break ;

    case 'v' :
      ++ verbose ;
      break ;

      /* .......................................................... */
    case 'd' :
      n = sscanf (optarg, "%lf", &delta) ;
      if (n == 0 || delta < 0)
        ERRF("The argument of '%s' must be a non-negative number.",
            argv [optind - 1]) ;
      break ;

      /* ........................................................... */
    case opt_max_area :
      n = sscanf (optarg, "%lf", &max_area) ;
      if (n == 0 || max_area < 0 || max_area > 1)
        ERR("max-area argument must be in the [0,1] range.") ;
      break ;

    case opt_min_area :
      n = sscanf (optarg, "%lf", &min_area) ;
      if (n == 0 || min_area < 0 || min_area > 1)
        ERR("min-area argument must be in the [0,1] range.") ;
      break ;

    case opt_max_variation :
      n = sscanf (optarg, "%lf", &max_variation) ;
      if (n == 0 || max_variation < 0)
        ERR("max-variation argument must be non-negative.") ;
      break ;

    case opt_min_diversity :
      n = sscanf (optarg, "%lf", &min_diversity) ;
      if (n == 0 || min_diversity < 0 || min_diversity > 1)
        ERR("min-diversity argument must be in the [0,1] range.") ;
      break ;

      /* ........................................................... */
    case opt_frame :
      err = vl_file_meta_parse (&frm, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      break ;

    case opt_seed :
      err = vl_file_meta_parse (&piv, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      break ;

    case opt_meta :
      err = vl_file_meta_parse (&met, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;

      if (met.protocol != VL_PROT_ASCII)
        ERR("meta file supports only ASCII protocol") ;
      break ;

    case opt_bright :
      n = sscanf (optarg, "%d", &bright_on_dark) ;
      if (n == 0 || (bright_on_dark != 0 && bright_on_dark != 1))
        ERR("bright_on_dark must be 0 or 1.") ;
      break ;

    case opt_dark :
      n = sscanf (optarg, "%d", &dark_on_bright) ;
      if (n == 0 || (dark_on_bright != 0 && dark_on_bright != 1))
        ERR("dark_on_bright must be 0 or 1.") ;
      break ;

      /* .......................................................... */
    case 0 :
    default :
      abort() ;
    }
  }

  /* check for parsing errors */
  if (err) {
    fprintf(stderr, "%s: error: %s (%d)\n",
            argv [0],
            err_msg, err) ;
    exit (1) ;
  }

  /* parse other arguments (filenames) */
  argc -= optind ;
  argv += optind ;

  /* make sure at least one file */
  if (piv.active == 0 && frm.active == 0) {
    frm.active = 1 ;
  }

  if (verbose > 1) {
    printf("mser: frames output\n") ;
    printf("mser:    active   %d\n",  frm.active ) ;
    printf("mser:    pattern  %s\n",  frm.pattern) ;
    printf("mser:    protocol %s\n",  vl_string_protocol_name (frm.protocol)) ;
    printf("mser: seeds output\n") ;
    printf("mser:    active   %d\n",  piv.active ) ;
    printf("mser:    pattern  %s\n",  piv.pattern) ;
    printf("mser:    protocol %s\n",  vl_string_protocol_name (piv.protocol)) ;
    printf("mser: meta output\n") ;
    printf("mser:    active   %d\n",  met.active ) ;
    printf("mser:    pattern  %s\n",  met.pattern) ;
    printf("mser:    protocol %s\n",  vl_string_protocol_name (met.protocol)) ;
  }

  /* ------------------------------------------------------------------
   *                                         Process one image per time
   * --------------------------------------------------------------- */

  while (argc--) {

    char             basename [1024] ;
    char const      *name = *argv++ ;
    VlMserFilt      *filt = 0 ;
    VlMserFilt      *filtinv = 0 ;
    vl_uint8        *data = 0 ;
    vl_uint8        *datainv = 0 ;
    VlPgmImage       pim ;
    vl_uint const   *regions ;
    vl_uint const   *regionsinv ;
    float const     *frames ;
    float const     *framesinv ;
    enum            {ndims = 2} ;
    int              dims [ndims] ;
    int              nregions = 0, nregionsinv = 0, nframes = 0, nframesinv =0;
    int              i, j, dof ;
    vl_size          q ;
    FILE            *in = 0 ;

    /* Open files  ------------------------------------------------ */

    /* get basenmae from filename */
    q = vl_string_basename (basename, sizeof(basename), name, 1) ;
    err = (q >= sizeof(basename)) ;
    if (err) {
      snprintf(err_msg, sizeof(err_msg),
               "Basename of '%s' is too long", name);
      err = VL_ERR_OVERFLOW ;
      goto done ;
    }

    if (verbose) {
      printf("mser: processing '%s'\n", name) ;
    }

    if (verbose > 1) {
      printf("mser:    basename is '%s'\n", basename) ;
    }

#define WERR(name)                                              \
    if (err == VL_ERR_OVERFLOW) {                               \
      snprintf(err_msg, sizeof(err_msg),                        \
               "Output file name too long.") ;                  \
      goto done ;                                               \
    } else if (err) {                                           \
      snprintf(err_msg, sizeof(err_msg),                        \
               "Could not open '%s' for writing.", name) ;      \
      goto done ;                                               \
    }

    /* open input file */
    in = fopen (name, "rb") ;
    if (!in) {
      err = VL_ERR_IO ;
      snprintf(err_msg, sizeof(err_msg),
               "Could not open '%s' for reading.", name) ;
      goto done ;
    }

    /* open output files */
    err = vl_file_meta_open (&piv, basename, "w") ; WERR(piv.name) ;
    err = vl_file_meta_open (&frm, basename, "w") ; WERR(frm.name) ;
    err = vl_file_meta_open (&met, basename, "w") ; WERR(met.name) ;

    if (verbose > 1) {
      if (piv.active) printf("mser:  writing seeds  to '%s'\n", piv.name);
      if (frm.active) printf("mser:  writing frames to '%s'\n", frm.name);
      if (met.active) printf("mser:  writing meta   to '%s'\n", met.name);
    }

    /* Read image data -------------------------------------------- */

    /* read source image header */
    err = vl_pgm_extract_head (in, &pim) ;
    if (err) {
      err = VL_ERR_IO ;
      snprintf(err_msg, sizeof(err_msg),
               "PGM header corrputed.") ;
      goto done ;
    }

    if (verbose) {
      printf("mser:   image is %" VL_FMT_SIZE " by %" VL_FMT_SIZE " pixels\n",
             pim. width,
             pim. height) ;
    }

    /* allocate buffer */
    data = malloc(vl_pgm_get_npixels (&pim) *
                  vl_pgm_get_bpp       (&pim)) ;

    if (!data) {
      err = VL_ERR_ALLOC ;
      snprintf(err_msg, sizeof(err_msg),
               "Could not allocate enough memory.") ;
      goto done ;
    }

    /* read PGM */
    err  = vl_pgm_extract_data (in, &pim, data) ;
    if (err) {
      snprintf(err_msg, sizeof(err_msg),
               "PGM body corrputed.") ;
      goto done ;
    }

    /* Process data  ---------------------------------------------- */
    dims[0] = pim.width ;
    dims[1] = pim.height ;

    filt = vl_mser_new (ndims, dims) ;
    filtinv = vl_mser_new (ndims, dims) ;

    if (!filt || !filtinv) {
      snprintf(err_msg, sizeof(err_msg),
              "Could not create an MSER filter.") ;
      goto done ;
    }

    if (delta         >= 0) vl_mser_set_delta          (filt, (vl_mser_pix) delta) ;
    if (max_area      >= 0) vl_mser_set_max_area       (filt, max_area) ;
    if (min_area      >= 0) vl_mser_set_min_area       (filt, min_area) ;
    if (max_variation >= 0) vl_mser_set_max_variation  (filt, max_variation) ;
    if (min_diversity >= 0) vl_mser_set_min_diversity  (filt, min_diversity) ;
    if (delta         >= 0) vl_mser_set_delta          (filtinv, (vl_mser_pix) delta) ;
    if (max_area      >= 0) vl_mser_set_max_area       (filtinv, max_area) ;
    if (min_area      >= 0) vl_mser_set_min_area       (filtinv, min_area) ;
    if (max_variation >= 0) vl_mser_set_max_variation  (filtinv, max_variation) ;
    if (min_diversity >= 0) vl_mser_set_min_diversity  (filtinv, min_diversity) ;


    if (verbose) {
      printf("mser: parameters:\n") ;
      printf("mser:   delta         = %d\n", vl_mser_get_delta         (filt)) ;
      printf("mser:   max_area      = %g\n", vl_mser_get_max_area      (filt)) ;
      printf("mser:   min_area      = %g\n", vl_mser_get_min_area      (filt)) ;
      printf("mser:   max_variation = %g\n", vl_mser_get_max_variation (filt)) ;
      printf("mser:   min_diversity = %g\n", vl_mser_get_min_diversity (filt)) ;
    }

    if (dark_on_bright)
    {
      vl_mser_process (filt, (vl_mser_pix*) data) ;

      /* Save result  ----------------------------------------------- */
      nregions = vl_mser_get_regions_num (filt) ;
      regions  = vl_mser_get_regions     (filt) ;

      if (piv.active) {
        for (i = 0 ; i < nregions ; ++i) {
          fprintf(piv.file, "%d ", regions [i]) ;
        }
      }

      if (frm.active) {
        vl_mser_ell_fit (filt) ;

        nframes = vl_mser_get_ell_num (filt) ;
        dof     = vl_mser_get_ell_dof (filt) ;
        frames  = vl_mser_get_ell     (filt) ;
        for (i = 0 ; i < nframes ; ++i) {
          for (j = 0 ; j < dof ; ++j) {
            fprintf(frm.file, "%f ", *frames++) ;
          }
          fprintf(frm.file, "\n") ;
        }
      }
    }
    if (bright_on_dark)
    {
      /* allocate buffer */
      datainv = malloc(vl_pgm_get_npixels (&pim) *
                  vl_pgm_get_bpp       (&pim)) ;
      for (i = 0; i < (signed)vl_pgm_get_npixels (&pim); i++) {
        datainv[i] = ~data[i]; /* 255 - data[i] */
      }

      if (!datainv) {
        err = VL_ERR_ALLOC ;
        snprintf(err_msg, sizeof(err_msg),
                 "Could not allocate enough memory.") ;
        goto done ;
      }

      vl_mser_process (filtinv, (vl_mser_pix*) datainv) ;

      /* Save result  ----------------------------------------------- */
      nregionsinv = vl_mser_get_regions_num (filtinv) ;
      regionsinv  = vl_mser_get_regions     (filtinv) ;

      if (piv.active) {
        for (i = 0 ; i < nregionsinv ; ++i) {
          fprintf(piv.file, "%d ", -regionsinv [i]) ;
        }
      }

      if (frm.active) {
        vl_mser_ell_fit (filtinv) ;

        nframesinv = vl_mser_get_ell_num (filtinv) ;
        dof        = vl_mser_get_ell_dof (filtinv) ;
        framesinv  = vl_mser_get_ell     (filtinv) ;
        for (i = 0 ; i < nframesinv ; ++i) {
          for (j = 0 ; j < dof ; ++j) {
            fprintf(frm.file, "%f ", *framesinv++) ;
          }
          fprintf(frm.file, "\n") ;
        }
      }
    }

    if (met.active) {
      fprintf(met.file, "\n") ;
    }

    /* Next guy  ----------------------------------------------- */
  done :
    /* release filter */
    if (filt) {
      vl_mser_delete (filt) ;
      filt = 0 ;
    }
    if (filtinv) {
      vl_mser_delete (filtinv) ;
      filtinv = 0 ;
    }

    /* release image data */
    if (data) {
      free (data) ;
      data = 0 ;
    }
    if (datainv) {
      free (datainv) ;
      datainv = 0 ;
    }

    /* close files */
    if (in) {
      fclose (in) ;
      in = 0 ;
    }

    vl_file_meta_close (&frm) ;
    vl_file_meta_close (&piv) ;
    vl_file_meta_close (&met) ;

    /* if bad print error message */
    if (err) {
      fprintf
        (stderr,
         "mser: err: %s (%d)\n",
         err_msg,
         err) ;
      exit_code = 1 ;
    }
  }

  /* quit */
  return exit_code ;
}
vlfeat-0.9.16/src/sift.1000066400000000000000000000120631203326130700147050ustar00rootroot00000000000000.TH SIFT 1 "" "VLFeat" "VLFeat"
.\" ------------------------------------------------------------------
.SH NAME
.\" ------------------------------------------------------------------
sift \- Scale Invariant Feature Transform
.\" ------------------------------------------------------------------
.SH SYNOPSIS
.\" ------------------------------------------------------------------
.B sift
.RI [ options ]
FILE .\|.\|.
.\" ------------------------------------------------------------------
.SH OPTIONS
.\" ------------------------------------------------------------------
.TP
.B \-v\fR,\fP \-\^\-verbose
Increase verbosity level (may be repeated).
.TP
.B \-h\fR,\fP \-\^\-help
Show options and version.
.TP
.BI \-\^\-output "\fR[=\fPFILESPEC\fR],\fP " \-o FILESPEC
Enable/specify seeds output.
.TP
.BI \-\^\-frames \fR[=\fPFILESPEC\fR]\fP
Enable/specify frames output.
.TP
.BI \-\^\-descriptors \fR[=\fPFILESPEC\fR]\fP
Enable/specify descriptors output.
.TP
.BI \-\^\-gss \fR[=\fPFILESPEC\fR]\fP
Enable/specify the Gaussian Scale Space (GSS) output.
.TP
.BI \-\^\-meta \fR[=\fPFILESPEC\fR]\fP
Enable/specify meta output.
.TP
.BI \-\^\-first-octave \fR=\fPINTEGER
Specifiy the index of the first octave of the GSS.
.TP
.BI \-\^\-edge-thresh \fR=\fPREAL
Specify the edge threshold.
.TP
.BI \-\^\-peak-thresh \fR=\fPREAL
Specify the peak threshold.
.TP
.BI \-\^\-read-frames \fR[=\fPFILESPEC\fR]\fP
Enable/specify reading the frames from a file.
.B \-\^\-orientations
Force the computation of the frame orientations.
.\" ------------------------------------------------------------------
.SH DESCRIPTION
.\" ------------------------------------------------------------------
.B sift
computes the 
.I Scale Invariant Feature Transform (SIFT).
\. In the simplest case,
.B sift
reads an image file (in PGM format), computes the SIFT frames and
their descriptors and write them to a file. Alternatively,
.B --frames
option can be used to suppress the standard output and produce a file
with the feature frames only.  Similarly,
.B --descriptors
suppresses the standard output and produce a file of descriptors only.
.B --output
can be used in combination with the previous too if the combined
output of frames and descriptors is required.
.P 
The
.B --read-frames
option bypasses the SIFT detector and reads the frames from the
specified file. This option can be used iin combination with
.B --orientations
to read the frames but calculate their orientations anyway. Both option
do not change how the frames and the descriptors are written to disk.
Notice that if
.B --orientations
is used, the number of frames may change if multiple orientations are detected).
.P
A frame is an oriented ellipse (also called affine frame) and is
specified by 6 floating point numbers (in order: coordinate of the
center
.I x
and
.I y,
and elements
.IR A11 ,
.IR A21 ,
.IR A21 ,
.I  A22
of the matrix mapping the unit circle to the ellipse).  A feature
descriptor is an histogram. It is specifyied by 128 non-negative
integer numbers.
.P
.B sift
can process multiple images and derive the names of the various output
files by means of
.I FILESPEC
(see
.BR vlfeat (7)).
Both frames and descriptors can be saved/loaded either in ascii or binary
format.
.
.TP
Ascii format
.
Each descriptor is a list of 128 decimal numbers and
occupies a line of text.  Each frame is a list of 5 numbers,
specifying an elliptical frame, one per line of text.  The combined
output file (with both frames and descriptors) stores a frame
.I and
the corresponding descriptor for each line of text.
.
.TP
Binary format
.
The binary format is similar to the ASCII format, except
that each frame element is stored as an IEEE double floating point
number (eight bytes) and each descriptor element is stored as an
unsiged integer (one byte). The data is written in little
endian order.
.
.\" ------------------------------------------------------------------
.SH EXAMPLES
.\" ------------------------------------------------------------------
.TP
sift test.pgm --peak-thresh=0.03
Caluclates the SIFT frames and descriptors of image
.I /tmp/myimage.pgm
with peak threshold equal to 0.03
and save them back to
.I test.sift 
in ascii format.
.TP 
sift test.pgm --frames
Writes the frames to 
.I 
test.frame
in ascii format and does not compute the descriptors.
.
.TP
sift test.pgm --descriptors=bin://
writes only the frames to
.IR test.descr.
in binary format.
.
.TP
sift test.pgm \-\^\-frames=my.frames -o bin:///tmp/%.sift
writes the frames in ascii format to
.I my.frames 
and the combined frames-descriptors file in binary format to
.IR /tmp/test.sift .
.
.TP
sift test1.pgm test2.pgm \-\^\-read-frames=bin:/tmp/%.key 
reads the
frames of images
.I test1.pgm
and 
.I test2.pgm
from the binary files
.I /tmp/test1.key
and
.I /tmp/test2.key
and writes the frames and their descriptors to the files
.I test1.sift
and
.I test2.sift
respectively.
.
.\" ------------------------------------------------------------------
.SH SEE ALSO
.\" ------------------------------------------------------------------
.BR vlfeat (7).

D. G. Lowe. 
Distinctive image features from scale-invariant keypoints. 
.IR IJCV , 
2(60):91-110, 2004.
vlfeat-0.9.16/src/sift.c000066400000000000000000000633711203326130700147770ustar00rootroot00000000000000/** @internal
 ** @file     sift.c
 ** @author   Andrea Vedaldi
 ** @brief    Scale Invariant Feature Transform (SIFT) - Driver
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#define VL_SIFT_DRIVER_VERSION 0.1

#include "generic-driver.h"

#include 
#include 
#include 
#include 
#include 

#include 
#include 
#include 

/* ----------------------------------------------------------------- */
/* help message */
char const help_message [] =
  "Usage: %s [options] files ...\n"
  "\n"
  "Options include:\n"
  " --verbose -v    Be verbose\n"
  " --help -h       Print this help message\n"
  " --output -o     Specify output file\n"
  " --frames        Specify frames file\n"
  " --descriptors   Specify descriptors file\n"
  " --meta          Specify meta file\n"
  " --gss           Specify Gaussian scale space files\n"
  " --octaves -O    Number of octaves\n"
  " --levels -S     Number of levels per octave\n"
  " --first-octave  Index of the first octave\n"
  " --edge-thresh   Specify the edge threshold\n"
  " --peak-thresh   Specift the peak threshold\n"
  " --magnif        Specify the magnification factor\n"
  " --read-frames   Specify a file from which to read frames\n"
  " --orientations  Force the computation of the orientations\n"
  "\n" ;

/* ----------------------------------------------------------------- */
/* long options codes */
enum {
  opt_meta = 1000,
  opt_frames,
  opt_descriptors,
  opt_gss,
  opt_first_octave,
  opt_edge_thresh,
  opt_peak_thresh,
  opt_magnif,
  opt_read_frames,
  opt_orientations
} ;

/* short options */
char const opts [] = "vhO:S:o:" ;

/* long options */
struct option const longopts [] = {
  { "verbose",         no_argument,            0,          'v'              },
  { "help",            no_argument,            0,          'h'              },
  { "octaves",         required_argument,      0,          'O'              },
  { "levels",          required_argument,      0,          'S'              },
  { "output",          required_argument,      0,          'o'              },
  { "meta",            optional_argument,      0,          opt_meta         },
  { "frames",          optional_argument,      0,          opt_frames       },
  { "descriptors",     optional_argument,      0,          opt_descriptors  },
  { "gss",             optional_argument,      0,          opt_gss          },
  { "first-octave",    required_argument,      0,          opt_first_octave },
  { "edge-thresh",     required_argument,      0,          opt_edge_thresh  },
  { "peak-thresh",     required_argument,      0,          opt_peak_thresh  },
  { "magnif",          required_argument,      0,          opt_magnif       },
  { "read-frames",     required_argument,      0,          opt_read_frames  },
  { "orientations",    no_argument,            0,          opt_orientations },
  { 0,                 0,                      0,          0                }
} ;

/* ----------------------------------------------------------------- */
/** @brief Save octave on disk
 ** @internal
 **/
static int
save_gss (VlSiftFilt * filt, VlFileMeta * fm, const char * basename,
          int verbose)
{
  char tmp [1024] ;
  int S = filt -> S ;
  int i ;
  int s, err = 0 ;
  int w, h ;
  int o = filt -> o_cur ;
  VlPgmImage pim ;
  vl_uint8 *buffer = 0 ;
  vl_size q ;

  if (! fm -> active) {
    return VL_ERR_OK ;
  }

  w = vl_sift_get_octave_width  (filt) ;
  h = vl_sift_get_octave_height (filt) ;

  pim.width     = w ;
  pim.height    = h ;
  pim.max_value = 255 ;
  pim.is_raw    = 1 ;

  buffer = malloc (sizeof(vl_uint8) * w * h) ;
  if (! buffer) {
    err = VL_ERR_ALLOC ;
    goto save_gss_quit ;
  }

  q = vl_string_copy (tmp, sizeof(tmp), basename) ;
  if (q >= sizeof(tmp)) {
    err = VL_ERR_OVERFLOW ;
    goto save_gss_quit ;
  }

  for (s = 0 ; s < S ; ++s) {
    vl_sift_pix * pt = vl_sift_get_octave (filt, s) ;

    /* conversion */
    for (i = 0 ; i < w * h ; ++i) {
      buffer [i] = (vl_uint8) pt [i] ;
    }

    /* save */
    snprintf(tmp + q, sizeof(tmp) - q, "_%02d_%03d", o, s) ;

    err = vl_file_meta_open (fm, tmp, "wb") ;
    if (err) goto save_gss_quit ;

    err = vl_pgm_insert (fm -> file, &pim, buffer) ;
    if (err) goto save_gss_quit ;

    if (verbose) {
      printf("sift: saved gss level to '%s'\n", fm -> name) ;
    }

    vl_file_meta_close (fm) ;
  }

 save_gss_quit : ;
  if (buffer) free (buffer) ;
  vl_file_meta_close (fm) ;
  return err ;
}

/* ----------------------------------------------------------------- */
/** @brief Keypoint ordering
 ** @internal
 **/
int
korder (void const* a, void const* b) {
  double x = ((double*) a) [2] - ((double*) b) [2] ;
  if (x < 0) return -1 ;
  if (x > 0) return +1 ;
  return 0 ;
}

/* ---------------------------------------------------------------- */
/** @brief SIFT driver entry point
 **/
int
main(int argc, char **argv)
{
  /* algorithm parameters */
  double   edge_thresh  = -1 ;
  double   peak_thresh  = -1 ;
  double   magnif       = -1 ;
  int      O = -1, S = 3, omin = -1 ;

  vl_bool  err    = VL_ERR_OK ;
  char     err_msg [1024] ;
  int      n ;
  int      exit_code          = 0 ;
  int      verbose            = 0 ;
  vl_bool  force_output       = 0 ;
  vl_bool  force_orientations = 0 ;

  VlFileMeta out  = {1, "%.sift",  VL_PROT_ASCII, "", 0} ;
  VlFileMeta frm  = {0, "%.frame", VL_PROT_ASCII, "", 0} ;
  VlFileMeta dsc  = {0, "%.descr", VL_PROT_ASCII, "", 0} ;
  VlFileMeta met  = {0, "%.meta",  VL_PROT_ASCII, "", 0} ;
  VlFileMeta gss  = {0, "%.pgm",   VL_PROT_ASCII, "", 0} ;
  VlFileMeta ifr  = {0, "%.frame", VL_PROT_ASCII, "", 0} ;

#define ERRF(msg, arg) {                                        \
    err = VL_ERR_BAD_ARG ;                                      \
    snprintf(err_msg, sizeof(err_msg), msg, arg) ;              \
    break ;                                                     \
  }

#define ERR(msg) {                                              \
    err = VL_ERR_BAD_ARG ;                                      \
    snprintf(err_msg, sizeof(err_msg), msg) ;                   \
    break ;                                                     \
}

  /* -----------------------------------------------------------------
   *                                                     Parse options
   * -------------------------------------------------------------- */

  while (!err) {
    int ch = getopt_long(argc, argv, opts, longopts, 0) ;

    /* If there are no files passed as input, print the help and settings */
    if (ch == -1 && argc - optind == 0)
      ch = 'h';

    /* end of option list? */
    if (ch == -1) break;

    switch (ch) {

    case '?' :
      /* unkown option ............................................ */
      ERRF("Invalid option '%s'.", argv [optind - 1]) ;
      break ;

    case ':' :
      /* missing argument ......................................... */
      ERRF("Missing mandatory argument for option '%s'.",
          argv [optind - 1]) ;
      break ;

    case 'h' :
      /* --help ................................................... */
      printf (help_message, argv [0]) ;
      printf ("SIFT         filespec: `%s'\n", out.pattern) ;
      printf ("Frames       filespec: `%s'\n", frm.pattern) ;
      printf ("Descriptors  filespec: `%s'\n", dsc.pattern) ;
      printf ("Meta         filespec: `%s'\n", met.pattern) ;
      printf ("GSS          filespec: '%s'\n", gss.pattern) ;
      printf ("Read frames  filespec: '%s'\n", ifr.pattern) ;
      printf ("Version: driver %s; libvl %s\n",
              VL_XSTRINGIFY(VL_SIFT_DRIVER_VERSION),
              vl_get_version_string()) ;
      exit (0) ;
      break ;

    case 'v' :
      /* --verbose ................................................ */
      ++ verbose ;
      break ;

    case 'o' :
      /* --output  ................................................ */
      err = vl_file_meta_parse (&out, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      force_output = 1 ;
      break ;

    case opt_frames :
      /* --frames  ................................................ */
      err = vl_file_meta_parse (&frm, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      break ;

    case opt_descriptors :
      /* --descriptor ............................................. */
      err = vl_file_meta_parse (&dsc, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      break;

    case opt_meta :
      /* --meta ................................................... */
      err = vl_file_meta_parse (&met, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;

      if (met.protocol != VL_PROT_ASCII)
        ERR("meta file supports only ASCII protocol") ;
      break ;

    case opt_read_frames :
      /* --read_frames ............................................ */
      err = vl_file_meta_parse (&ifr, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      break ;

    case opt_gss :
      /* --gss .................................................... */
      err = vl_file_meta_parse (&gss, optarg) ;
      if (err)
        ERRF("The arguments of '%s' is invalid.", argv [optind - 1]) ;
      break ;



    case 'O' :
      /* --octaves ............................................... */
      n = sscanf (optarg, "%d", &O) ;
      if (n == 0 || O < 0)
        ERRF("The argument of '%s' must be a non-negative integer.",
            argv [optind - 1]) ;
      break ;

    case 'S' :
      /* --levels ............................................... */
      n = sscanf (optarg, "%d", &S) ;
      if (n == 0 || S < 0)
        ERRF("The argument of '%s' must be a non-negative integer.",
            argv [optind - 1]) ;
      break ;

    case opt_first_octave :
      /* --first-octave ......................................... */
      n = sscanf (optarg, "%d", &omin) ;
      if (n == 0)
        ERRF("The argument of '%s' must be an integer.",
            argv [optind - 1]) ;
      break ;



    case opt_edge_thresh :
      /* --edge-thresh ........................................... */
      n = sscanf (optarg, "%lf", &edge_thresh) ;
      if (n == 0 || edge_thresh < 1)
        ERRF("The argument of '%s' must be not smaller than 1.",
            argv [optind - 1]) ;
      break ;

    case opt_peak_thresh :
      /* --edge-thresh ........................................... */
      n = sscanf (optarg, "%lf", &peak_thresh) ;
      if (n == 0 || peak_thresh < 0)
        ERRF("The argument of '%s' must be a non-negative float.",
            argv [optind - 1]) ;
      break ;

    case opt_magnif :
      /* --magnif  .............................................. */
      n = sscanf (optarg, "%lf", &magnif) ;
      if (n == 0 || magnif < 1)
        ERRF("The argument of '%s' must be a non-negative float.",
            argv [optind - 1]) ;
      break ;


    case opt_orientations :
      /* --orientations ......................................... */
      force_orientations = 1 ;
      break ;

    case 0 :
    default :
      /* should not get here ...................................... */
      abort() ;
    }
  }

  /* check for parsing errors */
  if (err) {
    fprintf(stderr, "%s: error: %s (%d)\n",
            argv [0],
            err_msg, err) ;
    exit (1) ;
  }

  /* parse other arguments (filenames) */
  argc -= optind ;
  argv += optind ;

  /*
     if --output is not specified, specifying --frames or --descriptors
     prevent the aggregate outout file to be produced.
  */
  if (! force_output && (frm.active || dsc.active)) {
    out.active = 0 ;
  }

  if (verbose > 1) {
#define PRNFO(name,fm)                                                  \
    printf("sift: " name) ;                                             \
    printf("%3s ",  (fm).active ? "yes" : "no") ;                       \
    printf("%-6s ", vl_string_protocol_name ((fm).protocol)) ;          \
    printf("%-10s\n", (fm).pattern) ;

    PRNFO("write aggregate . ", out) ;
    PRNFO("write frames .... ", frm) ;
    PRNFO("write descriptors ", dsc) ;
    PRNFO("write meta ...... ", met) ;
    PRNFO("write GSS ....... ", gss) ;
    PRNFO("read  frames .... ", ifr) ;

    if (force_orientations)
      printf("sift: will compute orientations\n") ;
  }

  /* ------------------------------------------------------------------
   *                                         Process one image per time
   * --------------------------------------------------------------- */

  while (argc--) {

    char             basename [1024] ;
    char const      *name = *argv++ ;

    FILE            *in    = 0 ;
    vl_uint8        *data  = 0 ;
    vl_sift_pix     *fdata = 0 ;
    VlPgmImage       pim ;

    VlSiftFilt      *filt = 0 ;
    vl_size          q ;
    int              i ;
    vl_bool          first ;

    double           *ikeys = 0 ;
    int              nikeys = 0, ikeys_size = 0 ;

    /* ...............................................................
     *                                                 Determine files
     * ............................................................ */

    /* get basenmae from filename */
    q = vl_string_basename (basename, sizeof(basename), name, 1) ;

    err = (q >= sizeof(basename)) ;

    if (err) {
      snprintf(err_msg, sizeof(err_msg),
               "Basename of '%s' is too long", name);
      err = VL_ERR_OVERFLOW ;
      goto done ;
    }

    if (verbose) {
      printf ("sift: <== '%s'\n", name) ;
    }

    if (verbose > 1) {
      printf ("sift: basename is '%s'\n", basename) ;
    }

    /* open input file */
    in = fopen (name, "rb") ;
    if (!in) {
      err = VL_ERR_IO ;
      snprintf(err_msg, sizeof(err_msg),
               "Could not open '%s' for reading.", name) ;
      goto done ;
    }

    /* ...............................................................
     *                                                       Read data
     * ............................................................ */

    /* read PGM header */
    err = vl_pgm_extract_head (in, &pim) ;

    if (err) {
      switch (vl_get_last_error()) {
      case  VL_ERR_PGM_IO :
        snprintf(err_msg, sizeof(err_msg),
                 "Cannot read from '%s'.", name) ;
        err = VL_ERR_IO ;
        break ;

      case VL_ERR_PGM_INV_HEAD :
        snprintf(err_msg, sizeof(err_msg),
                 "'%s' contains a malformed PGM header.", name) ;
        err = VL_ERR_IO ;
        goto done ;
      }
    }

    if (verbose)
      printf ("sift: image is %" VL_FMT_SIZE " by %" VL_FMT_SIZE " pixels\n",
              pim. width,
              pim. height) ;

    /* allocate buffer */
    data  = malloc(vl_pgm_get_npixels (&pim) *
                   vl_pgm_get_bpp       (&pim) * sizeof (vl_uint8)   ) ;
    fdata = malloc(vl_pgm_get_npixels (&pim) *
                   vl_pgm_get_bpp       (&pim) * sizeof (vl_sift_pix)) ;

    if (!data || !fdata) {
      err = VL_ERR_ALLOC ;
      snprintf(err_msg, sizeof(err_msg),
               "Could not allocate enough memory.") ;
      goto done ;
    }

    /* read PGM body */
    err  = vl_pgm_extract_data (in, &pim, data) ;

    if (err) {
      snprintf(err_msg, sizeof(err_msg), "PGM body malformed.") ;
      err = VL_ERR_IO ;
      goto done ;
    }

    /* convert data type */
    for (q = 0 ; q < (unsigned) (pim.width * pim.height) ; ++q) {
      fdata [q] = data [q] ;
    }

    /* ...............................................................
     *                                     Optionally source keypoints
     * ............................................................ */

#define WERR(name,op)                                           \
    if (err == VL_ERR_OVERFLOW) {                               \
      snprintf(err_msg, sizeof(err_msg),                        \
               "Output file name too long.") ;                  \
      goto done ;                                               \
    } else if (err) {                                           \
      snprintf(err_msg, sizeof(err_msg),                        \
               "Could not open '%s' for " #op, name) ;          \
      goto done ;                                               \
    }

    if (ifr.active) {

      /* open file */
      err = vl_file_meta_open (&ifr, basename, "rb") ;
      WERR(ifr.name, reading) ;

#define QERR                                                            \
      if (err ) {                                                       \
        snprintf (err_msg, sizeof(err_msg),                             \
                  "'%s' malformed", ifr.name) ;                         \
        err = VL_ERR_IO ;                                               \
        goto done ;                                                     \
      }

      while (1) {
        double x, y, s, th ;

        /* read next guy */
        err = vl_file_meta_get_double (&ifr, &x) ;
        if   (err == VL_ERR_EOF) break;
        else QERR ;
        err = vl_file_meta_get_double (&ifr, &y ) ; QERR ;
        err = vl_file_meta_get_double (&ifr, &s ) ; QERR ;
        err = vl_file_meta_get_double (&ifr, &th) ;
        if   (err == VL_ERR_EOF) break;
        else QERR ;

        /* make enough space */
        if (ikeys_size < nikeys + 1) {
          ikeys_size += 10000 ;
          ikeys       = realloc (ikeys, 4 * sizeof(double) * ikeys_size) ;
        }

        /* add the guy to the buffer */
        ikeys [4 * nikeys + 0]  = x ;
        ikeys [4 * nikeys + 1]  = y ;
        ikeys [4 * nikeys + 2]  = s ;
        ikeys [4 * nikeys + 3]  = th ;

        ++ nikeys ;
      }

      /* now order by scale */
      qsort (ikeys, nikeys, 4 * sizeof(double), korder) ;

      if (verbose) {
        printf ("sift: read %d keypoints from '%s'\n", nikeys, ifr.name) ;
      }

      /* close file */
      vl_file_meta_close (&ifr) ;
    }

    /* ...............................................................
     *                                               Open output files
     * ............................................................ */

    err = vl_file_meta_open (&out, basename, "wb") ; WERR(out.name, writing) ;
    err = vl_file_meta_open (&dsc, basename, "wb") ; WERR(dsc.name, writing) ;
    err = vl_file_meta_open (&frm, basename, "wb") ; WERR(frm.name, writing) ;
    err = vl_file_meta_open (&met, basename, "wb") ; WERR(met.name, writing) ;

    if (verbose > 1) {
      if (out.active) printf("sift: writing all ....... to . '%s'\n", out.name);
      if (frm.active) printf("sift: writing frames .... to . '%s'\n", frm.name);
      if (dsc.active) printf("sift: writing descriptors to . '%s'\n", dsc.name);
      if (met.active) printf("sift: writign meta ...... to . '%s'\n", met.name);
    }

    /* ...............................................................
     *                                                     Make filter
     * ............................................................ */

    filt = vl_sift_new (pim.width, pim.height, O, S, omin) ;

    if (edge_thresh >= 0) vl_sift_set_edge_thresh (filt, edge_thresh) ;
    if (peak_thresh >= 0) vl_sift_set_peak_thresh (filt, peak_thresh) ;
    if (magnif      >= 0) vl_sift_set_magnif      (filt, magnif) ;

    if (!filt) {
      snprintf (err_msg, sizeof(err_msg),
                "Could not create SIFT filter.") ;
      err = VL_ERR_ALLOC ;
      goto done ;
    }

    if (verbose > 1) {
      printf ("sift: filter settings:\n") ;
      printf ("sift:   octaves      (O)     = %d\n",
              vl_sift_get_noctaves     (filt)) ;
      printf ("sift:   levels       (S)     = %d\n",
              vl_sift_get_nlevels      (filt)) ;
      printf ("sift:   first octave (o_min) = %d\n",
              vl_sift_get_octave_first (filt)) ;
      printf ("sift:   edge thresh           = %g\n",
              vl_sift_get_edge_thresh  (filt)) ;
      printf ("sift:   peak thresh           = %g\n",
              vl_sift_get_peak_thresh  (filt)) ;
      printf ("sift:   magnif                = %g\n",
              vl_sift_get_magnif       (filt)) ;
      printf ("sift: will source frames? %s\n",
              ikeys ? "yes" : "no") ;
      printf ("sift: will force orientations? %s\n",
              force_orientations ? "yes" : "no") ;
    }

    /* ...............................................................
     *                                             Process each octave
     * ............................................................ */
    i     = 0 ;
    first = 1 ;
    while (1) {
      VlSiftKeypoint const *keys = 0 ;
      int                   nkeys ;

      /* calculate the GSS for the next octave .................... */
      if (first) {
        first = 0 ;
        err = vl_sift_process_first_octave (filt, fdata) ;
      } else {
        err = vl_sift_process_next_octave  (filt) ;
      }

      if (err) {
        err = VL_ERR_OK ;
        break ;
      }

      if (verbose > 1) {
        printf("sift: GSS octave %d computed\n",
               vl_sift_get_octave_index (filt));
      }

      /* optionally save GSS */
      if (gss.active) {
        err = save_gss (filt, &gss, basename, verbose) ;
        if (err) {
          snprintf (err_msg, sizeof(err_msg),
                    "Could not write GSS to PGM file.") ;
          goto done ;
        }
      }

      /* run detector ............................................. */
      if (ikeys == 0) {
        vl_sift_detect (filt) ;

        keys  = vl_sift_get_keypoints     (filt) ;
        nkeys = vl_sift_get_nkeypoints (filt) ;
        i     = 0 ;

        if (verbose > 1) {
          printf ("sift: detected %d (unoriented) keypoints\n", nkeys) ;
        }
      } else {
        nkeys = nikeys ;
      }

      /* for each keypoint ........................................ */
      for (; i < nkeys ; ++i) {
        double                angles [4] ;
        int                   nangles ;
        VlSiftKeypoint        ik ;
        VlSiftKeypoint const *k ;

        /* obtain keypoint orientations ........................... */
        if (ikeys) {
          vl_sift_keypoint_init (filt, &ik,
                                 ikeys [4 * i + 0],
                                 ikeys [4 * i + 1],
                                 ikeys [4 * i + 2]) ;

          if (ik.o != vl_sift_get_octave_index (filt)) {
            break ;
          }

          k          = &ik ;

          /* optionally compute orientations too */
          if (force_orientations) {
            nangles = vl_sift_calc_keypoint_orientations
              (filt, angles, k) ;
          } else {
            angles [0] = ikeys [4 * i + 3] ;
            nangles    = 1 ;
          }
        } else {
          k = keys + i ;
          nangles = vl_sift_calc_keypoint_orientations
            (filt, angles, k) ;
        }

        /* for each orientation ................................... */
        for (q = 0 ; q < (unsigned) nangles ; ++q) {
          vl_sift_pix descr [128] ;

          /* compute descriptor (if necessary) */
          if (out.active || dsc.active) {
            vl_sift_calc_keypoint_descriptor
              (filt, descr, k, angles [q]) ;
          }

          if (out.active) {
            int l ;
            vl_file_meta_put_double (&out, k -> x     ) ;
            vl_file_meta_put_double (&out, k -> y     ) ;
            vl_file_meta_put_double (&out, k -> sigma ) ;
            vl_file_meta_put_double (&out, angles [q] ) ;
            for (l = 0 ; l < 128 ; ++l) {
              vl_file_meta_put_uint8 (&out, (vl_uint8) (512.0 * descr [l])) ;
            }
            if (out.protocol == VL_PROT_ASCII) fprintf(out.file, "\n") ;
          }

          if (frm.active) {
            vl_file_meta_put_double (&frm, k -> x     ) ;
            vl_file_meta_put_double (&frm, k -> y     ) ;
            vl_file_meta_put_double (&frm, k -> sigma ) ;
            vl_file_meta_put_double (&frm, angles [q] ) ;
            if (frm.protocol == VL_PROT_ASCII) fprintf(frm.file, "\n") ;
          }

          if (dsc.active) {
            int l ;
            for (l = 0 ; l < 128 ; ++l) {
              double x = 512.0 * descr[l] ;
              x = (x < 255.0) ? x : 255.0 ;
              vl_file_meta_put_uint8 (&dsc, (vl_uint8) (x)) ;
            }
            if (dsc.protocol == VL_PROT_ASCII) fprintf(dsc.file, "\n") ;
          }
        }
      }
    }

    /* ...............................................................
     *                                                       Finish up
     * ............................................................ */

    if (met.active) {
      fprintf(met.file, "\n") ;
    }

  done :
    /* release input keys buffer */
    if (ikeys) {
      free (ikeys) ;
      ikeys_size = nikeys = 0 ;
      ikeys = 0 ;
    }

    /* release filter */
    if (filt) {
      vl_sift_delete (filt) ;
      filt = 0 ;
    }

    /* release image data */
    if (fdata) {
      free (fdata) ;
      fdata = 0 ;
    }

    /* release image data */
    if (data) {
      free (data) ;
      data = 0 ;
    }

    /* close files */
    if (in) {
      fclose (in) ;
      in = 0 ;
    }

    vl_file_meta_close (&out) ;
    vl_file_meta_close (&frm) ;
    vl_file_meta_close (&dsc) ;
    vl_file_meta_close (&met) ;
    vl_file_meta_close (&gss) ;
    vl_file_meta_close (&ifr) ;

    /* if bad print error message */
    if (err) {
      fprintf
        (stderr,
         "sift: err: %s (%d)\n",
         err_msg,
         err) ;
      exit_code = 1 ;
    }
  }

  /* quit */
  return exit_code ;
}
vlfeat-0.9.16/src/test_gauss_elimination.c000066400000000000000000000007711203326130700205760ustar00rootroot00000000000000/** file: test_gauss_elimination.cpp */

#include 
#include 

#include 

int
main(int argc VL_UNUSED, char**argv VL_UNUSED)
{
  double A [] = { 1, 12, 3, 4 };
  double b [] = { 1, -2 } ;
  double x [2] ;
  double c [2] ;
  int i ;

  vl_solve_linear_system_2 (x, A, b) ;

  c[0] = A[0] * x[0] + A[2] * x[1] ;
  c[1] = A[1] * x[0] + A[3] * x[1] ;

  for (i = 0 ; i < 2 ; ++i) {
    VL_PRINTF("[A x]_%-4d = %4g, b_%-4d = %4g\n", i+1, c[i], i+1, b[i]) ;
  }

  return 0 ;
}
vlfeat-0.9.16/src/test_getopt_long.c000066400000000000000000000042021203326130700173760ustar00rootroot00000000000000/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

#include 

int daggerset;

/* options descriptor */
static struct option longopts[] = {
  { "help",         no_argument,            0,           'h' },
  { "buffy",        no_argument,            0,           'b' },
  { "fluoride",     required_argument,      0,           'f' },
  { "daggerset",    no_argument,            &daggerset,   1000  },
  { "daggerunset",  no_argument,            &daggerset,   1001  },
  { "spike",        optional_argument,      0,            1002  },
  { NULL,           0,                      0,            0  }
};

int
main (int argc, char *argv[])
{
  int ch ;

  printf("*** parsing options: start\n") ;

  while ((ch = getopt_long(argc, argv, "hbf:", longopts, 0)) != -1) {

    switch (ch) {

    case 'h':
        printf("test_getopt_long: test VLFeat implementation of this function.\n"
               " --help -h      this message\n"
               " --buffy -b     option with no arguments\n"
               " --fluoride -f  option with required argument\n"
               " --daggerset    auto option with no arguments\n"
               " --daggerrunset auto option with no argument\n"
               " --spike        long option with optional argument\n") ;
        break;

    case 'b':
      printf("option `b' or `buffy'\n") ;
      break;

    case 'f':
      printf("option `f' or `flouride' with arg `%s'\n", optarg) ;
      break ;

    case 1002 :
      printf("option `spike' with arg `%s'\n", optarg) ;
      break ;

    case 0:
      printf("automatic longoption (daggerset=%d)\n", daggerset) ;
      break ;

    case  '?' :
      printf("illegal option or missing argument\n") ;
      break ;

    case ':'  :
      printf("illegal option\n") ;
      break ;

    default:
      abort() ;
    }
  }

  printf("*** parsing options: end\n");
  {
    int i ;
    for(i = optind ; i < argc ; ++i)
		printf("non-option: '%s'\n", argv[i]) ;
  }

  return 0 ;
}
vlfeat-0.9.16/src/test_heap-def.c000066400000000000000000000076621203326130700165430ustar00rootroot00000000000000/** @file   test_heap-def.c
 ** @brief  Test heap-def.h
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#define VL_HEAP_prefix vl_heap_float
#define VL_HEAP_type   float
#include 

#include 

typedef struct _S { int x ; } S ;
int s_cmp (S const * v, vl_uindex a, vl_uindex b)
{
  return v[a].x - v[b].x ;
}
void s_swap (S * v, vl_uindex a, vl_uindex b)
{
  S t = v[a] ;
  v[a] = v[b] ;
  v[b] = t ;
  printf("Swapping %" VL_FMT_UINDEX "x with %" VL_FMT_UINDEX "\n", a, b) ;
}

#define VL_HEAP_prefix  s_heap
#define VL_HEAP_type    S
#define VL_HEAP_cmp     s_cmp
#include 

#define VL_HEAP_prefix  track_s_heap
#define VL_HEAP_type    S
#define VL_HEAP_cmp     s_cmp
#define VL_HEAP_swap    s_swap
#include 

typedef struct _H {
  vl_size numNodes ;
  int* array ;
} H ;
int h_cmp (H const * h, vl_uindex a, vl_uindex b) {
  return h->array[a] - h->array[b] ;
}
void h_swap (H * h, vl_uindex a, vl_uindex b) {
  int t = h->array[a] ;
  h->array[a] = h->array[b] ;
  h->array[b] = t ;
}
#define VL_HEAP_prefix      h_heap
#define VL_HEAP_array       H*
#define VL_HEAP_array_const H const*
#define VL_HEAP_swap        h_swap
#define VL_HEAP_cmp         h_cmp
#include 

int
main (int argc VL_UNUSED, char** argv VL_UNUSED)
{
  vl_uindex i ;
  vl_size numNodes = 0 ;
  float data [] = {1.01, 5.02, 8, 0.1, 100, 3, 9, 4, 1.02} ;
  S data_s [] = {{5}, {7}, {9}, {1}} ;
  S data_s_track [] = {{5}, {7}, {9}, {1}} ;
  int data_h [] = {5, 7, 9, 1} ;
  H h ;
  h.numNodes = 0 ;
  h.array = data_h ;

  printf("Pushing heap\n") ;
  for (i = 0 ; i < sizeof(data) / sizeof(data[0]) ; ++i) {
    printf ("%5" VL_FMT_UINDEX ": %f\n", i, data[i]) ;
    vl_heap_float_push (data, &numNodes) ;
  }

  printf("Popping heap\n") ;
  for (i = 0 ; i < sizeof(data) / sizeof(data[0]) ; ++i) {
    printf ("%" VL_FMT_UINDEX ": %f\n", i, data[vl_heap_float_pop (data, &numNodes)]) ;
  }

  printf("Refilling, updating fourth element, and popping again\n") ;
  for (i = 0 ; i < sizeof(data) / sizeof(data[0]) ; ++i) {
    vl_heap_float_push (data, &numNodes) ;
  }
  printf("%f -> %f\n", data[3], 9.01) ;
  data [3] = 9.01 ;
  vl_heap_float_update (data, numNodes, 3) ;
  for (i = 0 ; i < sizeof(data) / sizeof(data[0]) ; ++i) {
    printf ("%" VL_FMT_UINDEX ":  %f\n", i, data[vl_heap_float_pop (data, &numNodes)]) ;
  }

  printf("Pushing heap of structures\n") ;
  numNodes = 0 ;
  for (i = 0 ; i < sizeof(data_s) / sizeof(data_s[0]) ; ++i) {
    printf ("s[%" VL_FMT_UINDEX "].x = %d\n", i, data_s[i].x) ;
    s_heap_push (data_s, &numNodes) ;
  }

  printf("Popping heap of structures\n") ;
  for (i = 0 ; i < sizeof(data_s) / sizeof(data_s[0]) ; ++i) {
    printf ("s[%" VL_FMT_UINDEX "].x = %d\n", i, data_s[s_heap_pop (data_s, &numNodes)].x) ;
  }

  printf("Pushing heap of structures with custom swap\n") ;
  numNodes = 0 ;
  for (i = 0 ; i < sizeof(data_s) / sizeof(data_s[0]) ; ++i) {
    printf ("s[%" VL_FMT_UINDEX "].x = %d\n", i, data_s_track[i].x) ;
    track_s_heap_push (data_s_track, &numNodes) ;
  }

  printf("Popping heap of structures with custom swap\n") ;
  for (i = 0 ; i < sizeof(data_s) / sizeof(data_s[0]) ; ++i) {
    printf ("s[%" VL_FMT_UINDEX "].x = %d\n", i, data_s_track
               [track_s_heap_pop (data_s_track, &numNodes)].x) ;
  }

  printf("Pushing heap of structures with custom container\n") ;
  numNodes = 0 ;
  for (i = 0 ; i < sizeof(data_h) / sizeof(data_h[0]) ; ++i) {
    printf ("s[%" VL_FMT_UINDEX "].x = %d\n", i, h.array[i]) ;
    h_heap_push (&h, &h.numNodes) ;
  }

  printf("Popping heap of structures with custom container\n") ;
  for (i = 0 ; i < sizeof(data_h) / sizeof(data_h[0]) ; ++i) {
    printf ("s[%" VL_FMT_UINDEX "].x = %d\n", i, h.array
               [h_heap_pop (&h, &h.numNodes)]) ;
  }

  return 0 ;
}
vlfeat-0.9.16/src/test_host.c000066400000000000000000000006431203326130700160370ustar00rootroot00000000000000/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

int
main(int argc VL_UNUSED, char ** argv VL_UNUSED)
{
  char * string = vl_configuration_to_string_copy() ;
  assert (string) ;
  VL_PRINTF(string) ;
  vl_free(string) ;
  return 0 ;
}
vlfeat-0.9.16/src/test_imopv.c000066400000000000000000000051221203326130700162110ustar00rootroot00000000000000/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

int
main (int argc, char** argv)
{
  int width = 256 ;
  int height = 256 ;
  int const W = 7 ;

  float * image ;
  float * dest  ;
  float * dest2 ;
  float * filt ;

  int x, y ;

  if (argc < 2) {
    image = vl_malloc (sizeof(float) * width * height) ;
    for (y = 0 ; y < height ; ++y) {
      for (x = 0  ; x < width ; ++x) {
        image [x + width * y] =
        128.0f * (((x % 16) < 8) ^ ((y % 16) < 8)) ;
      }
    }
  } else {
    VlPgmImage im ;
    int err ;
    err = vl_pgm_read_new_f (argv[1], &im, &image) ;
    if (err) {
      VL_PRINTF("test_imopv: error: %s (%d)\n",
                vl_get_last_error_message(),
                vl_get_last_error()) ;
      return -1 ;
    }
    width = im.width ;
    height = im.height ;
  }

  VL_PRINTF("test_imopv: width: %d, height: %d\n", width, height);

  dest  = vl_malloc (sizeof(float) * width * height) ;
  dest2 = vl_malloc (sizeof(float) * width * height) ;
  filt  = vl_malloc (sizeof(float) * (2*W+1)) ;

  for (x = 0 ; x < 2*W+1 ; ++ x) {
    filt [x] = 1.0f / (2*W+1) ;
  }

#if 1
  vl_set_simd_enabled (0) ;
  vl_tic() ;
  {
    int trial = 0 ;
    for (trial = 0 ; trial < 1000 ; ++trial)
      vl_imconvcol_vf (dest, height,
                       image, width, height, width,
                       filt, -W, W, 1,
                       VL_TRANSPOSE|VL_PAD_BY_CONTINUITY) ;
  }
  VL_PRINTF ("Elapsed time no SIMD: %f [s]\n", vl_toc()) ;

  vl_set_simd_enabled (1) ;
  vl_tic() ;
  {
    int trial = 0 ;
    for (trial = 0 ; trial < 1000 ; ++trial)
      vl_imconvcol_vf (dest2, height,
                       image, width, height, width,
                       filt, -W, W, 1,
                       VL_TRANSPOSE|VL_PAD_BY_CONTINUITY) ;
  }
  VL_PRINTF ("Elapsed time with SIMD: %f [s]\n", vl_toc()) ;

#else

  vl_imconvcoltri_vf (dest, height,
                      image, width, height, width,
                      5, 1, VL_TRANSPOSE|VL_PAD_BY_CONTINUITY) ;

  vl_imconvcoltri_vf (dest2, height,
                      image, width, height, width,
                      5, 1, VL_TRANSPOSE|VL_PAD_BY_ZERO) ;
#endif

  vl_pgm_write_f("/tmp/src.pgm", image, width, height) ;
  vl_pgm_write_f("/tmp/test.pgm", dest, height, width) ;
  vl_pgm_write_f("/tmp/test2.pgm", dest2, height, width) ;


  vl_free(image) ;
  vl_free(filt) ;
  vl_free(dest) ;
  vl_free(dest2) ;

  return 0 ;
}
vlfeat-0.9.16/src/test_mathop.c000066400000000000000000000030361203326130700163510ustar00rootroot00000000000000#include 
#include 
#include 
#include 

int
main (int argc VL_UNUSED, char** argv VL_UNUSED)
{
  int error = 0 ;

  /* -----------------------------------------------------------------
   *                                                  vl_fast_resqrt_*
   * -------------------------------------------------------------- */

  VL_PRINTF ("%20s %10s %10s %10s\n", "func", "elaps [s]", "eval/s", "chksum") ;

#define SFX f
#define SFX2 FLT
#define T float
#define SQRT sqrtf
#define ABS  fabsf
#define ONE 1.0F
#include "test_mathop_fast_resqrt.tc"
#undef ONE
#undef ABS
#undef SQRT
#undef T
#undef SFX2
#undef SFX

#define SFX d
#define SFX2 DBL
#define T float
#define SQRT sqrt
#define ABS  fabs
#define ONE 1.0
#include "test_mathop_fast_resqrt.tc"
#undef ONE
#undef ABS
#undef SQRT
#undef T
#undef SFX2
#undef SFX

  VL_PRINTF("\n") ;

  /* -----------------------------------------------------------------
   *                                                  vl_fast_sqrt_ui*
   * -------------------------------------------------------------- */

  VL_PRINTF ("%20s %10s %10s %10s\n", "func", "elaps [s]", "eval/s", "chksum") ;

#undef SFX
#undef T
#undef STEP
#define SFX 32
#define T vl_uint32
#define STEP 7
#include "test_mathop_fast_sqrt_ui.tc"

#undef SFX
#undef T
#undef STEP
#define SFX 16
#define T vl_uint16
#define STEP 0
#include "test_mathop_fast_sqrt_ui.tc"

#undef SFX
#undef T
#undef STEP
#define SFX 8
#define T vl_uint8
#define STEP 0
#include "test_mathop_fast_sqrt_ui.tc"

  return error ;
}
vlfeat-0.9.16/src/test_mathop_abs.c000066400000000000000000000020401203326130700171700ustar00rootroot00000000000000/*
 *  test_mathop_abs.c
 *  vlfeat
 *
 *  Created by Andrea Vedaldi on 16/07/2009.
 *  Copyright 2009 UCLA. All rights reserved.
 *
 */

#include 
#include 

#include 

int
main(int argc VL_UNUSED, char**argv VL_UNUSED)
{
  VlRand * rand = vl_get_rand() ;
  vl_size numData = 100000000 ;
  vl_size i ;
  float * X = vl_malloc(sizeof(float) * numData) ;
  float * Y = vl_malloc(sizeof(float) * numData) ;
  float * X_end = X + numData ;

  for (i = 0 ; i < numData ; ++ i) {
    X[i] = vl_rand_real1(rand) - .5 ;
    Y[i] = 0 ;
  }

  {
    float * Xi = X ;
    float * Yi = Y ;
    vl_tic() ;
    while (Xi < X_end) {
      *Yi++ = fabsf (*Xi++) ;
    }
    VL_PRINTF("fabsf: %.3f\n", vl_toc()) ;
  }

  for (i = 0 ; i < numData ; ++ i) {
    X[i] = vl_rand_real1(rand) - .5 ;
    X[i] = 0 ;
  }

  {
    float * Xi = X ;
    float * Yi = Y ;
    vl_tic() ;
    while (Xi < X_end) {
      *Yi++ = vl_abs_f (*Xi++) ;
    }
    VL_PRINTF("vl_abs_f: %.3f\n", vl_toc()) ;
  }

  vl_free (Y) ;
  vl_free (X) ;

  return 0 ;
}
vlfeat-0.9.16/src/test_mathop_fast_resqrt.tc000066400000000000000000000025231203326130700211520ustar00rootroot00000000000000#define F_EPS VL_XCAT(SFX2, _EPSILON)
#define F_MAX VL_XCAT(SFX2, _MAX)
#define F_MIN VL_XCAT(SFX2, _MIN)

{
  T x ;
  T dx ;
  T maxErr = 0 ;
  T acc ;
  int numEval = 0 ;
  double elaps ;

  char const* funcName = VL_XSTRINGIFY(VL_XCAT(vl_fast_resqrt_, SFX)) ;

  for (x = F_MIN, dx = F_EPS ; x < F_MAX ; x += dx, dx *= 1 + 1e-6 ) {
    T y  = VL_XCAT(vl_fast_resqrt_, SFX)(x) ;
    T y_ = ONE / SQRT (x) ;
    T err = ABS (y_ - y) / y * 100 ;
    maxErr = VL_MAX(maxErr, err) ;
  }

  VL_PRINTF ("%20s (max relative error: %.6f%%)\n",  funcName, maxErr) ;
  if (maxErr > 0.001) {
    VL_PRINTF ("error: %s: relative error is too large!\n", funcName) ;
    error = 1 ;
  }

  vl_tic() ;
  numEval = 0 ;
  acc = 0 ;
  for (x = F_MIN, dx = F_EPS ; x < F_MAX ; x += dx, dx *= 1 + 1e-6 ) {
    T y  = VL_XCAT(vl_fast_resqrt_, SFX)(x) ;
    acc += y ;
    numEval += 1 ;
  }
  elaps = vl_toc() ;

  VL_PRINTF ("%20s %10.2g %10.2g\n",
             funcName,
             elaps,
             numEval / elaps) ;

  vl_tic() ;
  numEval = 0 ;
  acc = 0 ;
  for (x = F_MIN, dx = F_EPS ; x < F_MAX ; x += dx, dx *= 1 + 1e-6 ) {
    T y  = ONE / SQRT (x) ;
    acc += y ;
    numEval += 1 ;
  }
  elaps = vl_toc() ;

  VL_PRINTF ("%20s %10.2g %10.2g\n",
             "baseline",
             elaps,
             numEval / elaps) ;
}

#undef F_MIN
#undef F_MAX
#undef F_EPS
vlfeat-0.9.16/src/test_mathop_fast_sqrt_ui.tc000066400000000000000000000016341203326130700213220ustar00rootroot00000000000000#define FL VL_XCAT(VL_FL_INT, SFX)

{
  T x, acc, acc_ ;
  double elaps ;
  int neval  ;

  vl_tic() ;
  neval = 0 ;
  x = 0 ;
  acc = 0 ;
  do {
    T y  = VL_XCAT(vl_fast_sqrt_ui, SFX) (x) ;
    acc += y ;
    x += 1 << STEP ;
    neval += 1 ;
  } while (x > (1 << STEP) - 1) ;
  elaps = vl_toc() ;
  VL_PRINTF ("%20s", "vl_fast_sqrt_ui" VL_XSTRINGIFY(SFX)) ;
  VL_PRINTF (" %10.2f %10.2g %010" FL "x\n", elaps, (double) neval / elaps, acc) ;

  vl_tic() ;
  neval = 0 ;
  x = 0 ;
  acc_ = 0 ;
  do {
    vl_uint32 y  = floor(sqrt((double) x));
    acc_ += y ;
    x += 1 << STEP ;
    neval += 1 ;
  } while (x > (1 << STEP) - 1) ;
  elaps = vl_toc() ;
  VL_PRINTF ("%20s", "baseline") ;
  VL_PRINTF (" %10.2f %10.2g %010" FL "x\n", elaps, (double) neval / elaps, acc) ;


  if (acc != acc_) {
    VL_PRINTF ("error: vl_fast_sqrt_ui" VL_XSTRINGIFY(SFX) " != floor(sqrt((double) x))\n") ;
    error = 1 ;
  }
}

#undef FL
vlfeat-0.9.16/src/test_nan.c000066400000000000000000000014671203326130700156430ustar00rootroot00000000000000/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

int
main(int argc VL_UNUSED, char** argv VL_UNUSED)
{
  VL_PRINTF ("Double   NaN : `%g'\n",   VL_NAN_D     ) ;
  VL_PRINTF ("Double   Inf : `%g'\n",   VL_INFINITY_D) ;
  VL_PRINTF ("Double - Inf : `%g'\n", - VL_INFINITY_D) ;
  VL_PRINTF ("Single   NaN : `%g'\n",   VL_NAN_F     ) ;
  VL_PRINTF ("Single   Inf : `%g'\n",   VL_INFINITY_F) ;
  VL_PRINTF ("Single - Inf : `%g'\n", - VL_INFINITY_F) ;

  VL_PRINTF ("Double: 0.0 <   VL_INFINITY_D: %d\n", 0.0 <   VL_INFINITY_D) ;
  VL_PRINTF ("Double: 0.0 > - VL_INFINITY_D: %d\n", 0.0 > - VL_INFINITY_D) ;

  return 0 ;
}
vlfeat-0.9.16/src/test_qsort-def.c000066400000000000000000000014211203326130700167610ustar00rootroot00000000000000/** @file   test_heap-def.c
 ** @brief  Test heap-def.h
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#define VL_QSORT_prefix my_qsort
#define VL_QSORT_type   float
#include 

#include 

int
main (int argc VL_UNUSED, char ** argv VL_UNUSED)
{
  float values [] = {.4, 12.3, 44.0, 1.2, 3.4, 5.6} ;
  vl_size n = sizeof(values) / sizeof(values[0]) ;
  vl_uindex i ;

  for (i = 0 ; i < n ; ++i) printf("%5.2f ", values [i]) ;
  printf("\n") ;

  my_qsort_sort (values, n) ;

  for (i = 0 ; i < n ; ++i) printf("%5.2f ", values [i]) ;
  printf("\n") ;

  return 0 ;
}
vlfeat-0.9.16/src/test_rand.c000066400000000000000000000013221203326130700160010ustar00rootroot00000000000000/** @file   test_rand.c
 ** @author Andrea Vedaldi
 ** @breif  Test vl/random.h
 **/

#include 
#include 

#include 

int
main (int argc VL_UNUSED, char *argv[] VL_UNUSED)
{
  int i ;
  vl_uint32 init [4] = {0x123, 0x234, 0x345, 0x456} ;
  VlRand rand ;
  vl_rand_init (&rand) ;

  vl_rand_seed_by_array (&rand, init, sizeof(init)/sizeof(init[0])) ;

  printf("1000 outputs of vl_rand_uint32()\n");
  for (i=0; i<1000; i++) {
    printf("%10" VL_FL_INT32 "u ", vl_rand_uint32(&rand));
    if (i%5==4) printf("\n");
  }

  printf("\n1000 outputs of vl_rand_real2()\n");
  for (i=0; i<1000; i++) {
    printf("%10.8f ", vl_rand_real2(&rand));
    if (i%5==4) printf("\n");
  }

  return 0;
}
vlfeat-0.9.16/src/test_stringop.c000066400000000000000000000074151203326130700167330ustar00rootroot00000000000000/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "check.h"
#include 
#include 

int
main (int argc VL_UNUSED, char *argv[] VL_UNUSED)
{
  vl_size q ;
  int err, protocol ;
  char const *repl  = "vision" ;
  char const *str   = "*: * '\\*' *" ;
  char const *subst = "vision: vision '*' vision" ;
  char const *t1   = "a/b/c/d.tar.gz" ;
  char const *t3   = "t" ;
  char const *next ;

  enum { buf_len = 1024 } ;
  char buf [buf_len] ;

  enum { sml_len = 2 } ;
  char sml [sml_len] ;

  /* -------------------------------------------------------------- */

  /* t3 fits in the destination buffer */
  q = vl_string_copy (sml, sml_len, t3) ;
  err = (q >= sml_len) ;
  check (! err, "vl_string_copy") ;
  check (q == strlen(t3), "vl_string_copy") ;

  /* t1 does not fit in the destination buffer */
  q = vl_string_copy (sml, sml_len, t1) ;
  err = (q >= sml_len) ;
  check (err, "vl_string_copy") ;
  check (q == strlen(t1), "vl_string_copy") ;

  /* -------------------------------------------------------------- */

  /* check substitution with widcard */
  q = vl_string_replace_wildcard (buf, buf_len,
                                  str, '*', '\\', repl) ;
  err = (q >= buf_len) ;
  check (! err, "vl_string_replace_wildcard") ;
  check (strcmp(buf, subst) == 0, "vl_string_replace_wildcard") ;
  check (strlen(subst) == q, "vl_string_replace_wildcard") ;


  /* and the case in which the destination buffer is too small */
  q = vl_string_replace_wildcard (sml, sml_len,
                                  str, '*', '\\', repl) ;
  err = (q >= sml_len) ;
  check (err, "vl_string_replace_wildcard") ;
  check (strlen(subst) == q, "vl_string_replace_wildcard") ;

  /* and without output string */
  q = vl_string_replace_wildcard (0,0,
                                  str, '*', '\\', repl) ;
  err = (q >= sml_len) ;
  check (err, "vl_string_replace_wildcard") ;
  check (strlen(subst) == q, "vl_string_replace_wildcard") ;

  /* -------------------------------------------------------------- */
  q = vl_string_basename (buf, buf_len, "a/b/c/d.tar.gz", 0) ;
  err = (q >= buf_len) ;
  check (! err, "vl_string_basename") ;
  check (strcmp(buf, "d.tar.gz") == 0, "vl_string_basename") ;

  q = vl_string_basename (buf, buf_len, "a/b/c/d.tar.gz", 1) ;
  err = (q >= buf_len) ;
  check (! err, "vl_string_basename") ;
  check (strcmp(buf, "d.tar") == 0, "vl_string_basename") ;

  q = vl_string_basename (buf, buf_len, "a/b/c/d.tar.gz", 2) ;
  err = (q >= buf_len) ;
  check (! err, "vl_string_basename") ;
  check (strcmp(buf, "d") == 0, "vl_string_basename") ;

  q = vl_string_basename (buf, buf_len, "a/b/c/d.tar.gz", 3) ;
  err = (q >= buf_len) ;
  check (! err, "vl_string_basename") ;
  check (strcmp(buf, "d") == 0, "vl_string_basename") ;

  /* -------------------------------------------------------------- */
  next = "ascii://bin://ascii://bin://unkown1://unknown2://bin:///which remains/" ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_ASCII,) ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_BINARY,) ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_ASCII,) ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_BINARY,) ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_UNKNOWN,) ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_UNKNOWN,) ;
  next = vl_string_parse_protocol(next, &protocol) ;
  check (protocol == VL_PROT_BINARY,) ;
  check (strcmp(next, "/which remains/") == 0,"%s",next) ;

  check_signoff() ;
  return 0 ;
}
vlfeat-0.9.16/src/test_svd2.c000066400000000000000000000037461203326130700157470ustar00rootroot00000000000000/** @file test_svd2.c
 ** @brief Test SVD on 2x2 matrices (@ref mathop.h)
 ** @author Andrea Vedaldi
 **/

/*
 Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
 All rights reserved.

 This file is part of the VLFeat library and is made available under
 the terms of the BSD license (see the COPYING file).
 */

#include 
#include 

void
print_matrix(char const * name, double *M)
{
  printf("%s = \n[ %10f %10f ]\n[ %10f %10f ]\n", name, M[0], M[2], M[1], M[3]) ;
}

void
prod2 (double R [4], double A [4], double B [4])
{
  R[0] = A[0]*B[0] + A[2]*B[1] ;
  R[1] = A[1]*B[0] + A[3]*B[1] ;
  R[2] = A[0]*B[2] + A[2]*B[3] ;
  R[3] = A[1]*B[2] + A[3]*B[3] ;
}

void
transp2 (double R [4], double A [4])
{
  R[0] = A[0] ;
  R[1] = A[2] ;
  R[2] = A[1] ;
  R[3] = A[3] ;
}

double
det2 (double A [4])
{
  return A[0]*A[3] - A[1]*A[2];
}

void
check_svd (double *M , double * U, double * S, double *V)
{
  double T1 [4] ;
  double T2 [4] ;

  print_matrix("M",M) ;
  print_matrix("U",U) ;
  print_matrix("S",S) ;
  print_matrix("V",V) ;

  transp2(T1, V) ;
  prod2(T2, S, T1) ;
  prod2(T1, U, T2) ;
  print_matrix("USV'",T1) ;

  transp2(T1, U) ;
  prod2(T2, T1, U) ;
  print_matrix("U'U",T2) ;

  transp2(T1, V) ;
  prod2(T2, T1, V) ;
  print_matrix("V'V",T2) ;

  printf("det(M) = %f\n", det2(M)) ;
  printf("det(U) = %f\n", det2(U)) ;
  printf("det(V) = %f\n", det2(V)) ;
  printf("det(S) = %f\n", det2(S)) ;
  printf("\n") ;
}

int
main (int argc VL_UNUSED, char ** argv VL_UNUSED)
{
  double M [] = {
    0.864397318249258,
    0.094202610858281,
    -0.851909224508774,
    0.873504449150106 } ;
  double S [4] ;
  double U [4] ;
  double V [4] ;

  vl_svd2(S, U, V, M) ;
  check_svd(M, U, S, V) ;

  M[1] = 0 ;

  vl_svd2(S, U, V, M) ;
  check_svd(M, U, S, V) ;

  vl_lapack_dlasv2(S+3, S,
                   V+1, V,
                   U+1, U,
                   M[0], M[2], M[3]) ;
  V[2] = -V[1] ;
  V[3] = V[0] ;
  U[2] = -U[1] ;
  U[3] = U[0] ;
  check_svd(M, U, S, V) ;
  return 0 ;
}
vlfeat-0.9.16/src/test_threads.c000066400000000000000000000041271203326130700165150ustar00rootroot00000000000000/** @file   test_threads.c
 ** @author Andrea Vedaldi
 ** @brief  Test threaded VLFeat client
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

#include 

#if defined(VL_THREADS_POSIX)

void *
testThread(void * args)
{
  int j ;
  int id = *(int*)args ;
  vl_tic() ;
  for (j = 0 ; j < 10 ; ++j) {
    printf("Thread %5d: %d\n",
      id, vl_rand_int31(vl_get_rand())) ;
    fflush(stdout) ;
  }
  printf("Thread %5d: elapsed time: %.2f s\n", id, vl_toc()) ;
  return NULL ;
}

#elif defined(VL_THREADS_WIN)

DWORD WINAPI
testThread(LPVOID args)
{
  int j ;
  int id = *(DWORD*)args ;
  vl_tic() ;
  for (j = 0 ; j < 10 ; ++j) {
    printf("Thread %5d: %d\n",
      id, vl_rand_int31(vl_get_rand())) ;
    fflush(stdout) ;
  }
  printf("Thread %5d: elapsed time: %.2f s\n", id, vl_toc()) ;
  return 0 ;
}

#endif

int
main(int argc VL_UNUSED, char** argv VL_UNUSED)
{
#ifndef VL_DISABLE_THREADS
#if defined(VL_THREADS_POSIX)
  vl_uindex i ;
  pthread_t threads [5] ;
  int threadIds [5] ;
  for (i = 0 ; i < sizeof(threads) / sizeof(threads[0]) ; ++i) {
    threadIds [i] = i ;
    pthread_create (threads + i, NULL, testThread, threadIds + i) ;
  }
  for (i = 0 ; i < sizeof(threads) / sizeof(threads[0]) ; ++i) {
    pthread_join (threads[i], NULL) ;
  }
#elif defined(VL_THREADS_WIN)
  int i ;
  DWORD threadIds [5] ;
  HANDLE threadHandles [5] ;
  for (i = 0 ; i < sizeof(threadHandles) / sizeof(threadHandles[0]) ; ++i) {
    threadHandles [i] = CreateThread (
      NULL, 0,
      testThread, threadIds + i,
      0, threadIds + i) ;
  }
  for (i = 0 ; i < sizeof(threadHandles) / sizeof(threadHandles[0]) ; ++i) {
    WaitForSingleObject (threadHandles[i], INFINITE);
  }
#endif
/* VL_DISABLE_THREADS */
#else
  printf("VLFeat was compiled without threading support\n") ;
#endif
  {
    char * string = vl_configuration_to_string_copy() ;
    printf("%s", string) ;
    vl_free(string) ;
  }
  return 0 ;
}
vlfeat-0.9.16/src/test_vec_comp.c000066400000000000000000000030021203326130700166450ustar00rootroot00000000000000/** @file   test_vec_comp.c
 ** @brief  Test vector computations
 ** @author Andrea Vedaldi
 **/

/* AUTORIGHTS */

#include 
#include 

void
init_data (vl_size numDimensions, vl_size numSamples, float ** X, float ** Y)
{
  VlRand * rand = vl_get_rand() ;
  vl_uindex i ;
  float * Xi = *X = vl_malloc(sizeof(float) * numDimensions * numSamples) ;
  float * Yi = *Y = vl_malloc(sizeof(float) * numDimensions * numSamples) ;
  for (i = 0 ; i < numDimensions * numSamples ; ++ i) {
    *Xi++ = vl_rand_real1(rand) ;
    *Yi++ = vl_rand_real1(rand) ;
  }
}

int
main (int argc VL_UNUSED, char** argv VL_UNUSED)
{
  float * X ;
  float * Y ;
  vl_size numDimensions = 1000 ;
  vl_size numSamples    = 2000 ;
  float * result = vl_malloc (sizeof(float) * numSamples * numSamples) ;
  VlFloatVectorComparisonFunction f ;

  init_data (numDimensions, numSamples, &X, &Y) ;

  X+=1 ;
  Y+=1 ;

  vl_set_simd_enabled (VL_FALSE) ;
  f = vl_get_vector_comparison_function_f (VlDistanceL2) ;
  vl_tic () ;
  vl_eval_vector_comparison_on_all_pairs_f (result, numDimensions, X, numSamples, Y, numSamples, f) ;
  VL_PRINTF("Float L2 distnace: %.3f s\n", vl_toc ()) ;

  vl_set_simd_enabled (VL_TRUE) ;
  f = vl_get_vector_comparison_function_f (VlDistanceL2) ;
  vl_tic () ;
  vl_eval_vector_comparison_on_all_pairs_f (result, numDimensions, X, numSamples, Y, numSamples, f) ;
  VL_PRINTF("Float L2 distance (SIMD): %.3f s\n", vl_toc ()) ;

  X-- ;
  Y-- ;

  vl_free (X) ;
  vl_free (Y) ;
  vl_free (result) ;

  return 0 ;
}
vlfeat-0.9.16/src/vlfeat.7000066400000000000000000000054741203326130700152370ustar00rootroot00000000000000.TH VLFEAT 1 "" "VLFeat" "VLFeat"
.\" ------------------------------------------------------------------
.SH NAME
.\" ------------------------------------------------------------------
VLFeat \- VisionLab Features Library
.\" ------------------------------------------------------------------
.SH DESCRIPTION
.\" ------------------------------------------------------------------
.B VLFeat
is a collection of computer vision algorithms with a special focus on
image features such as SIFT and MSER. 
.P
The functionalities offered by the library can be accessed either
through its API, or by means of command line and MATLAB programs.  See
the
.B SEE ALSO
section for a list of the related command line programs and for a
pointer to the general documentation of the library.
.
.P 
.
.\" ------------------------------------------------------------------
.SH "FILE SPECIFIERS (FILESPEC)"
.\" ------------------------------------------------------------------
Some commands in
.B VLFeat
make use of `file specifiers' to associate to one or more input files
the appropriate output/auxiliary files. A file specifier is a string
such as `ascii://%.txt' and contains two pieces of information:
.IP \(bu 4
The 
.B file format 
(in this case
.IR ascii ).
The supported formats depend on the particular application. Two common
formats are
.I ascii 
and
.IR bin (ary).
.
.IP \(bu 4
A 
.B name transformation rule 
(in this case
.IR %.txt ). 
This is used to transform the name an input file into the name of the
corresponding output/auxiliary file. The transformed name is comput by
extracting the basename of the input file substituting it to all
occurences of the wildcard characer `%' in the transformation rule
(`%%') passes the wildcard character untouched.
.P
Recall that the basename of a file name is obtained by stripping the
directory prefix (everything from the beginning up to the last `/' or
`\\' character) and extension (everything from the last `.'
characeter (excluding the prefix) to the end).
.P
For instance, the filespec `ascii://%.txt' and the input file
`test.data' specify a file named `test.txt' in ascii (text) format.
.
.SS "Partial file specifiers"
.
Normally, a program provides default values for its file
specifiers. In this case, partial file specifier (with only the
file format or the name transformation rule are acceptable).
.
.SS  "File specifiers equivalent to a file name"
.
A partial specifier such as `file.txt' is in effect equivalent to the
file name `file.txt'. If the specifier is used in conjunction with
multiple input files, this causes the same file to be accessed multile
times.

.\" ------------------------------------------------------------------
.SH SEE ALSO
.\" ------------------------------------------------------------------
.BR sift (1),
.BR mser (1)
.P
A. Vedaldi and B. Fulkerson.
VLFeat Library.
.IR http://www.vlfeat.org/
vlfeat-0.9.16/toolbox/000077500000000000000000000000001203326130700145535ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/aib/000077500000000000000000000000001203326130700153065ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/aib/vl_aib.c000066400000000000000000000160211203326130700167060ustar00rootroot00000000000000/** @internal
 ** @file     aib.c
 ** @author   Brian Fulkerson
 ** @author   Andrea Vedaldi
 ** @brief    AIB MEX driver
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

#include 
#include 

/* option codes */
enum {
  opt_cluster_null = 0,
  opt_verbose
} ;

/* options */
vlmxOption  options [] = {
  {"ClusterNull",0,   opt_cluster_null},
  {"Verbose",    0,   opt_verbose    },
  {0,            0,   0              }
} ;

#define CLUSTER_NULL_NODES 1

/** ------------------------------------------------------------------
 **
 ** Null nodes are nodes with null probability and are not merged by AIB.
 ** It is convenient, however, to treat them as follows:
 **
 ** - we pretend that AIB merged those nodes at the very beginning into a
 **   single cluster (as they, after all, yield zero information drop).
 **
 ** - we attach this cluster to the root as the very last step (as we
 **   do not want to change other nodes.
 **
 **/

static void
cluster_null_nodes (vl_uint32* parents, vl_uint32 nvalues, double *cost, int verbosity)
{
  vl_uint32 nnull = 0 ;
  vl_uint32 n ;
  vl_uint32 first ;
  vl_uint32 last_intermed ;

  vl_uint32 a, b, c, d, e ;
  vl_uint32 dp, ep ;

  /* count null nodes so far */
  for (n = 0 ; n < nvalues ; ++ n) {
    if (parents[n] >= 2 * nvalues - 1) {
      ++ nnull ;
    }
  }

  if (nnull == 0) return ;

  /* = : leaves
   * 0 : null leaves
   * i : internal node
   * * : padding
   * x : intermediate nodes to link null nodes
   *
   * Input:
   *
   * ====== 0000 ======= iiiiiii ****
   * |                   |     |
   * 0                   dp    ep
   *
   *
   * Output:
   *
   * ====== ==== ======= xxxx iiiiiii
   * |                   | || |     |
   * 0                   a bc d     e
   */

  a = nvalues ;
  b = nvalues + nnull - 1 - 1 ;
  c = b + 1 ;
  d = c + 1 ;
  e = 2 * nvalues - 2 ;

  dp = nvalues ;
  ep = 2 * nvalues - 2 - nnull ;

  if (verbosity > 1) {
    mexPrintf("vl_aib: a:%u b:%u c:%u d:%u e:%u dp:%u ep:%u\n",
              a,b,c,d,e,dp,ep) ;
  }

  /* search first leaf that has been merged */
  {
    vl_uint32 first_parent = e ;
    first = 0 ;
    for (n = 0 ; n < nvalues ; ++ n) {
      if ((parents[n] <= e) & (parents[n] != 1)) {
        if (first_parent >= parents [n]) {
          first_parent = parents [n] ;
          first = n ;
        }
      }
    }
  }

  if (verbosity > 1) {
    mexPrintf("vl_aib: nnull:%u, nvalues:%u, first: %u\n",
              nnull,nvalues,first) ;
  }

  /* move internal node block [dp:ep] to [d:e] */
  for (n = 0 ; n < e ; ++ n) {
    if ((parents [n] <= e) & (parents [n] != 0)) {
      parents [n] += (e - ep) ;
    }
  }
  for (n = e ; n >= d ; -- n) {
    parents [n] = parents [n - (e - ep)] ;
  }

  /* find first null node and connect it to a */
  last_intermed = a ;
  for (n = 0 ; n < a ; ++ n) {
    if (parents[n] > e) {
      parents [n] = last_intermed ;
      break ;
    }
  }

  if (verbosity > 1) {
    mexPrintf("vl_aib:first null %u parent seto to last_intermed:%u\n",
              n,
              last_intermed)  ;
  }

  /* chain rest of intermediate nodes */
  for (; n < a ; ++ n) {
    if (parents[n] > e) {
      parents [n] = last_intermed ;
      parents [last_intermed] = last_intermed + 1 ;
      ++ last_intermed ;
    }
  }

  if (verbosity > 1) {
    mexPrintf("vl_aib: after chaining other nulls last_intermed:%u\n", last_intermed)  ;
  }

  /* make last_intermed point to d */
  parents [last_intermed] = d ;

  /* change parent of first to be last_intermed */
  if (verbosity > 1) {
    mexPrintf("vl_aib: parent of %u (first) was %u\n", first, parents[first]) ;
  }
  parents [first] = last_intermed ;
  if (verbosity > 1) {
    mexPrintf("vl_aib: parent of %u (first) is now %u\n", first, parents[first]) ;
  }

  /* fix cost too (reall that the fist entry is the cost before
   any merge) */
  if (cost) {
    cost -= nvalues - 1 ;
    for (n = e ; n >= d ; --n) {
      cost [n] = cost [n - (e - ep)] ;
    }
    for (n = c ; n >= a ; --n) {
      cost [n] = cost [d] ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_PCX = 0, IN_END} ;
  enum {OUT_PARENTS = 0, OUT_COST} ;
  enum {INFORMATION, EC} ;

  int            verbose = 0 ;
  int            opt ;
  int            next = IN_END ;
  mxArray const *optarg ;
  int            cluster_null = 0 ;

  double   *Pcx     ;
  vl_uint32    nlabels ;
  vl_uint32    nvalues ;

  mxArray *Pcx_cpy ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    mexErrMsgTxt("One argument required.") ;
  } else if (nout > 2) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if (!vlmxIsMatrix(in[IN_PCX], -1, -1)) {
    mexErrMsgTxt("PCX must be a real matrix.") ;
  }

  Pcx_cpy = mxDuplicateArray(in[IN_PCX]);
  Pcx     = mxGetPr (Pcx_cpy) ;
  nlabels = mxGetM  (in[IN_PCX]) ;
  nvalues = mxGetN  (in[IN_PCX]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {

    switch (opt) {

    case opt_verbose :
      ++ verbose ;
      break ;

    case opt_cluster_null :
      cluster_null = 1 ;
      break ;

    }
  }

  if (verbose) {
    mexPrintf("vl_aib: clustering null probability variables: %s\n", VL_YESNO(cluster_null)) ;
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */

  {
    VlAIB   *aib;
    double* acost = 0, *cost = 0 ;
    vl_uint32 *aparents = 0, *parents = 0 ;
    vl_uint32 n ;

    out[OUT_PARENTS] = mxCreateNumericMatrix(1, 2*nvalues - 1, mxUINT32_CLASS, mxREAL);
    parents = mxGetData(out[OUT_PARENTS]);

    if (nout > 1) {
      out[OUT_COST] = mxCreateNumericMatrix(1, nvalues, mxDOUBLE_CLASS, mxREAL);
      cost = mxGetPr(out[OUT_COST]);
    }

    aib = vl_aib_new (Pcx, nvalues, nlabels) ;
    vl_aib_set_verbosity (aib, verbose) ;
    vl_aib_process (aib);

    aparents = vl_aib_get_parents (aib);
    acost    = vl_aib_get_costs (aib);
    memcpy(parents, aparents, sizeof(vl_uint32)*(2*nvalues-1));
    if (nout > 1)
      memcpy(cost, acost, sizeof(double)*nvalues);

    vl_aib_delete(aib);

    if (cluster_null) {
      cluster_null_nodes (parents, nvalues, (nout == 0) ? 0 : cost, verbose) ;
    }

    /* save back parents */
    for (n = 0 ; n < 2 * nvalues - 1 ; ++n) {
      if (parents [n] > 2 * nvalues - 1) {
        /* map ingored nodes to zero */
        parents [n] = 0 ;
      } else {
        /* MATLAB starts counting from 1 */
        ++ parents [n]  ;
      }
    }

  }
  mxDestroyArray(Pcx_cpy);
}
vlfeat-0.9.16/toolbox/aib/vl_aib.m000066400000000000000000000061521203326130700167240ustar00rootroot00000000000000% VL_AIB  Agglomerative Information Bottleneck
%   PARENTS = VL_AIB(PCX) runs Agglomerative Information Bottleneck
%   (AIB) on the class-feature co-occurrence matrix PCX and returns a
%   vector PARENTS representing the sequence of compressed AIB
%   alphabets.
%
%   PCX is the joint probability of the occurrence of the class label
%   C and the feature value X. PCX has one row for each class label
%   and one column for each feature value, non negative entires and
%   sums to one. AIB iteratively merges the pair of feature values
%   that decreases the mutual information I(X,C) the least. This
%   compresses the alphabet of the discrete random variable X in such
%   a way that the new variable is still informative about C.
%
%   Merge operations are represented by a binary tree. The nodes of
%   the tree correspond to the original feature values and any other
%   value obtained by merging.
%
%   The vector PARENTS represents the merge tree. The nodes are
%   numbered in breadth-first order, starting from the leaves. The
%   numbers associated to the tree leaves correspond to the original
%   feature values (so the first leaf has number one and correspond to
%   the first feature value).  In total there are 2*M-1 nodes, where M
%   is the number of feature values (the number of columns of
%   PCX). The internal nodes are numbered according to the order in
%   which AIB generates them. It is therefore possible to recover from
%   the tree the state of the AIB algorithm at each step (see also
%   VL_AIBCUT()). PARENTS is a UINT32 array with one element for each
%   tree node storing the index of the parent node. The root parent is
%   conventionally set to 1.
%
%   Feature values with null probability (null columns of the PCX
%   matrix) are ignored by the AIB algorithm and the corresponding
%   entries in the PARENTS vectors are set to zero. Notice that this
%   causes the root of the tree to have index smaller of 2*M-1
%   (PARENTS has still 2*M-1 entries, but the last portion is
%   zero-padded).
%
%   Alternatively, the option ClusterNull can be used to assign the
%   null probability values to a special value. The result is similar
%   to pretending that the null probability nodes have indeed very
%   small probability, uniform across categories.
%
%   [PARENTS, COST] = VL_AIB(...) returns the values COST of the cost
%   function being optimized by AIB (i.e. the mutual information
%   I(X,C)). COST has M column. The first column is the initial value
%   of the cost function. The others correspond to the cost after each
%   of the M-1 merges. If less than M-1 merges are performed, the rest
%   of the vector is filled with NaNs.
%
%   VL_AIB() accepts the following options:
%
%   Verbose::
%     If specified, increase verbosity level.
%
%   ClusterNull::
%     If specified, do not signal null nodes; instead cluster them.
%
%   See also: VL_AIBCUT(), VL_AIBHIST(), VL_AIBCUTHIST(),
%   VL_AIBCUTPUSH(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/aib/vl_aibcut.m000066400000000000000000000067471203326130700174520ustar00rootroot00000000000000function [cut, map, short] = vl_aibcut(parents, n)
% VL_AIBCUT  Cut VL_AIB tree
%  CUT = VL_AIBCUT(PARENTS, N) cuts the binary merge tree PARENTS and
%  returns a cut CUT of N nodes. The format of PARENTS is the same
%  used by the VL_AIB() function.
%
%  A cut is a set of N nodes such that no node is a descendant of any
%  other node in the cut and such that all leaves descend from a node
%  in the cut. The vector CUT lists the nodes of the binary merge tree
%  PARENT that form the cut.
%
%  Nodes with null parent (as defined by PARENTS) are included in the
%  cut if the other nodes are not enough to fill a cut of N elements.
%
%  [CUT, MAP] = VL_AIBCUT(...) returns a vector MAP with the same size
%  as PARENTS. MAP assigns each node below or in the cut to the
%  corresponding element in the CUT vector (each element above the cut
%  or with null parent is mapped to 0). To get the index of the
%  corresponding cut nodes use CUT(MAP). MAP can be used to quantize
%  the leaves in a sequences of N contiguous indexes, starting from
%  one (see also VL_AIBCUTPUSH()).
%
%  [CUT, MAP, SHORT] = VL_AIBCUT(...) returns also a vector SHORT that
%  represents a version of the PARENTS tree where nodes below the cut
%  are short-circuitied to link to the corresponding cut ancestors
%  directly. Null parents are left unchanged, except if the
%  corresponding node is in the cut (in which case the map-to-itself
%  rule has the precedence).
%
%  See also: VL_HELP(), VL_AIB().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% --------------------------------------------------------------------
%                                           Determine nodes in the cut
% --------------------------------------------------------------------

if n > 1
  root = max(parents) ;

  % count number of null nodes
  z = sum(parents(1:root) == 0) ;

  % determine number of leves
  nleaves = (root - z + 1) / 2 ;

  % find first node of the cut
  mu = root - min(n, nleaves) + 1 ;

  % correction for presence of null nodes
  nz = find(parents(1:mu) > 0) ;
  mu = nz(end) ;

  % find node belnoging to the cut
  cut = find(parents(1:mu) > mu) ;

  % In the presence of null nodes, the cut size might exceed nleaves,
  % which is the maximum cut size we can obtain with the specified
  % tree. The additional nodes have to be picked up from the null
  % nodes.

  if length(cut) < n
    sel_z = find(parents == 0) ;
    cut = [sel_z(1:n-length(cut)) cut] ;
  end

  % aesthetic reasons only
  cut = sort(cut) ;

else
  mu   = max(parents) ;
  cut  = mu ;
end

% --------------------------------------------------------------------
%                                       Short-circuit nodes to the cut
% --------------------------------------------------------------------

stop = [cut find(parents == 0)] ;
short = 1:length(parents) ;

while 1
  [drop,sel] = setdiff(short(1:mu), stop)  ;
  sel = setdiff(sel, stop) ;
  if isempty(sel), break ; end
  short(sel) = parents(short(sel))  ;
end

short(setdiff(find(parents == 0), cut)) = 0 ;

% --------------------------------------------------------------------
%                                                  Build quantizer map
% --------------------------------------------------------------------

map             = 1:numel(parents) ;
map(cut)        = 1:n ;
map(short >  0) = map(short(short > 0)) ;
map(short == 0) = 0 ;
map(mu+1:end)   = 0 ;
vlfeat-0.9.16/toolbox/aib/vl_aibcuthist.m000066400000000000000000000035451203326130700203330ustar00rootroot00000000000000function hist = vl_aibcuthist(map, x, varargin)
% VL_AIBCUTHIST Compute a histogram by using an AIB compressed alphabet
%  HIST = VL_AIBCUTHIST(MAP, X) computes the histogram of the data X
%  using the compressed alphabet specified by a cut MAP of the AIB
%  tree (as returned by VL_AIBCUT()). Each element of HIST counts how
%  many elements of X are projected to the corresponding cut node
%  (encoding the compressed alphabet).
%
%  Data are mapped to bins as specified by VL_AIBCUTPUSH(). Data mapped
%  to the null node are dropped.
%
%  VL_AIBCUTHIST() accepts the following options:
%
%  Nulls:: [drop]
%    What to do of null nodes: drop ('drop'), accumulate to an
%    extra bin at the end of HIST ('append'), or accumulate to
%    the first bin ('first')
%
%  See also: VL_AIB(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

mode = 'drop' ;

for k=1:2:length(varargin)
  opt=varargin{k} ;
  arg=varargin{k+1} ;
  switch lower(opt)
    case 'nulls'
      switch lower(arg)
        case 'drop'
          mode = 'drop' ;
        case 'append'
          mode = 'append' ;
        case 'first'
          mode = 'first' ;
        otherwise
          error(sprintf('Illegal argument ''%s'' for ''Nulls''', arg)) ;
      end
    otherwise
      error(sprintf('Unknown option ''%''', opt)) ;
  end
end

% determine cut size
cut_size = max(map) ;

% relabel data
y = vl_aibcutpush(map, x) ;

% null?
if any(y == 0)
  switch mode
    case 'drop'
      y = y(y ~= 0) ;
    case 'append'
      cut_size = cut_size + 1 ;
      y(y == 0) = cut_size ;
    case 'first'
      y(y == 0) = 1 ;
  end
end

% Now we have the nodes of the cut. Accumulate.
hist = zeros(1, cut_size) ;
hist = vl_binsum(hist, ones(size(y)), y) ;
vlfeat-0.9.16/toolbox/aib/vl_aibcutpush.m000066400000000000000000000007421203326130700203370ustar00rootroot00000000000000function y = vl_aibcutpush(map, x)
% VL_AIBCUTPUSH  Quantize based on VL_AIB cut
%  Y = VL_AIBCUTPUSH(MAP, X) maps the data X to elements of the AIB
%  cut specified by MAP.
%
%  The function is equivalent to Y = MAP(X).
%
%  See also: VL_HELP(), VL_AIB().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

y = map(x) ;
vlfeat-0.9.16/toolbox/aib/vl_aibhist.c000066400000000000000000000102441203326130700175770ustar00rootroot00000000000000/** @internal
 ** @file    aibhist.c
 ** @brief   Push data down the AIB tree - MEX driver
 ** @author  Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include

#include
#include
#include
#include
#include

#include 

/* ---------------------------------------------------------------- */
/** @brief MEX driver entry point
 **/

void
mexFunction (int nout, mxArray * out[], int nin, const mxArray * in[])
{
  enum {IN_PARENTS = 0, IN_DATA, IN_OPT} ;
  enum {OUT_TREE} ;

  vl_uint32 const *parents ;
  vl_uint32 *tree ;
  double const *data ;

  int nnull = 0 ;
  int histmode = 0 ;

  vl_uint32 i, P, N ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if ((nin < 2) || (nin > 3)) {
    mexErrMsgTxt ("Two or three arguments required.") ;
  }

  if (nout > 1) {
    mexErrMsgTxt ("Too many output arguments.") ;
  }

  if (!vlmxIsMatrix(in[IN_DATA], -1, -1)) {
    mexErrMsgTxt ("DATA must be a matrix of DOUBLE");
  }

  if (!vlmxIsVector(in[IN_PARENTS], -1)) {
    mexErrMsgTxt ("PARENTS must be a vector") ;
  }

  if (mxGetClassID(in[IN_PARENTS]) != mxUINT32_CLASS) {
    mexErrMsgTxt ("PARENTS must be UINT32") ;
  }

  N = mxGetNumberOfElements (in[IN_DATA]) ;
  data = mxGetPr (in[IN_DATA]) ;

  P = mxGetNumberOfElements (in[IN_PARENTS]) ;
  parents = mxGetData (in[IN_PARENTS]) ;

  if (nin > 2) {
    enum {buflen = 32} ;
    char buf [buflen] ;
    if (!vlmxIsString(in[IN_OPT], -1)) {
      mexErrMsgTxt("OPT must be a string") ;
    }
    mxGetString(in[IN_OPT], buf, buflen) ;
    buf [buflen - 1] = 0 ;
    if (!vlmxCompareStringsI("hist", buf)) {
      mexErrMsgTxt("OPT must be equal to 'hist'") ;
    }
    histmode = 1 ;
  }

  out[OUT_TREE] = mxCreateNumericMatrix(1, P,mxUINT32_CLASS, mxREAL) ;
  tree = mxGetData (out[OUT_TREE]) ;

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

  {
    char buf [1024] ;
    vl_uint32 max_node = 0 ;
    vl_uint32 min_node = 0 ;
    vl_uint32 last_leaf = 0 ;
    vl_uint32 root = 0 ;

    /* exhamine parents for errors and informations */
    for (i = 0 ; i  < P ; ++i) {
      vl_uint32 node = parents [i] ;

      if ((node != 0) & (node != 1)) {
        max_node = VL_MAX (node, max_node) ;
        min_node = VL_MIN (node, min_node) ;
      }

      /* check no node points outside the tree */
      if (node > P) {
        snprintf(buf, sizeof(buf),
                 "Out of bounds link PARENTS[%d] = %u > %u", i, node, P) ;
        mexErrMsgTxt (buf) ;
      }

      /* check node points to something above him */
      if ((node != 0) & (node != 1) & (node < i)) {
        snprintf(buf, sizeof(buf),
                 "Backward link PARENTS[%d] = %u < %d", i, node, i) ;
        mexErrMsgTxt (buf) ;
      }
      if (node == 0) ++ nnull ;
    }

    /* now
     *
     * min_node = first node which is not a leaf
     * max_node = root node
     * nnull    = number of leaves pointing to the null node
     */

    last_leaf = min_node - 1 ;
    root = max_node ;

    /* process data */
    for (i = 0 ; i < N ; ++i) {
      int w = 1 ;
      vl_uint32 x = data [i] ;

      if (histmode) {
        w = x ;
        x = i ;
      }

      if ((x < 1) | (x > last_leaf)) {
        if (histmode) {
          snprintf(buf, sizeof(buf),
                   "DATA length exceeds number of AIB leaves") ;
        } else {
          snprintf(buf, sizeof(buf),
                   "DATA [%u] = %u is not a leaf", i, x) ;
        }
        mexErrMsgTxt (buf) ;
      }

      while (VL_TRUE) {
        vl_uint32 x_ = parents [x -1] ;
        /*     mexPrintf("%u : x_=%u, x=%u\n", i, x_, x) ; */
        ++ tree [x - 1] ;
        if ((x_ == x) | (x_ == 0) | (x_ == 1)) break ;
        x = x_ ;
      }
    }
  }
}
vlfeat-0.9.16/toolbox/aib/vl_aibhist.m000066400000000000000000000015071203326130700176130ustar00rootroot00000000000000% VL_AIBHIST  Compute histogram over VL_AIB tree
%  H = VL_AIBHIST(PARENTS, DATA) computes the histogram of the data
%  points DATA on the VL_AIB tree defined by PARENTS. Each element of
%  DATA indexes one of the leaves of the VL_AIB tree.
%
%  H = VL_AIBHIST(PARENTS, DATA, 'HIST') treats DATA as an histograms.
%  In this case each compoment of DATA is the number of occurences of
%  the VL_AIB leaves corresponding to that component.
%
%  H has the same dimension of parents and counts how many data points
%  are descendent of the corresponding node of the VL_AIB tree.
%
%  See also: VL_HELP(), VL_AIB(), VL_AIBCUTPUSH().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/demo/000077500000000000000000000000001203326130700154775ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/demo/vl_demo_aib.m000066400000000000000000000055601203326130700201230ustar00rootroot00000000000000function vl_demo_aib
% VL_DEMO_AIB  Test Agglomerative Information Bottleneck (AIB)

D   = 4 ;
K   = 20 ;

randn('state',0) ;
rand('state',0) ;

X1 = randn(2,300) ; X1(1,:) = X1(1,:) + 2 ;
X2 = randn(2,300) ; X2(1,:) = X2(1,:) - 2 ;
X3 = randn(2,300) ; X3(2,:) = X3(2,:) + 2 ;

figure(1) ; clf ; hold on ;
vl_plotframe(X1,'color','r') ;
vl_plotframe(X2,'color','g') ;
vl_plotframe(X3,'color','b') ;
axis equal ;
xlim([-4 4]);
ylim([-4 4]);
axis off ;
rectangle('position',D*[-1 -1 2 2])

vl_demo_print('aib_basic_data', .6) ;

C   = 1:K*K ;
Pcx = zeros(3,K*K) ;

f1 = quantize(X1,D,K) ;
f2 = quantize(X2,D,K) ;
f3 = quantize(X3,D,K) ;

Pcx(1,:) = vl_binsum(Pcx(1,:), ones(size(f1)), f1) ;
Pcx(2,:) = vl_binsum(Pcx(2,:), ones(size(f2)), f2) ;
Pcx(3,:) = vl_binsum(Pcx(3,:), ones(size(f3)), f3) ;

Pcx = Pcx / sum(Pcx(:)) ;

[parents, cost] = vl_aib(Pcx) ;

cutsize = [K*K, 10, 3, 2, 1] ;
for i=1:length(cutsize)

  [cut,map,short] = vl_aibcut(parents, cutsize(i)) ;
  parents_cut(short > 0) = parents(short(short > 0)) ;
  C = short(1:K*K+1) ; [drop1,drop2,C] = unique(C) ;

  figure(i+1) ; clf ;
  plotquantization(D,K,C) ; hold on ;
  %plottree(D,K,parents_cut) ;
  axis equal ;
  axis off ;
  title(sprintf('%d clusters', cutsize(i))) ;

  vl_demo_print(sprintf('aib_basic_clust_%d',i),.6) ;
end

% --------------------------------------------------------------------
function f = quantize(X,D,K)
% --------------------------------------------------------------------
d = 2*D / K ;
j = round((X(1,:) + D) / d) ;
i = round((X(2,:) + D) / d) ;
j = max(min(j,K),1) ;
i = max(min(i,K),1) ;
f = sub2ind([K K],i,j) ;

% --------------------------------------------------------------------
function [i,j] = plotquantization(D,K,C)
% --------------------------------------------------------------------
hold on ;
cl = [[.3 .3 .3] ; .5*hsv(max(C)-1)+.5] ;
d  = 2*D / K ;
for i=0:K-1
  for j=0:K-1
    patch(d*(j+[0 1 1 0])-D, ...
          d*(i+[0 0 1 1])-D, ...
          cl(C(j*K+i+1),:)) ;
  end
end
% --------------------------------------------------------------------
function h = plottree(D,K,parents)
% --------------------------------------------------------------------

d  = 2*D / K ;
C = zeros(2,2*K*K-1)+NaN ;
N = zeros(1,2*K*K-1) ;

for i=0:K-1
  for j=0:K-1
    C(:,j*K+i+1) = [d*j-D; d*i-D]+d/2 ;
    N(:,j*K+i+1) = 1 ;
  end
end

for i=1:length(parents)
  p = parents(i) ;
  if p==0, continue ; end;
  if all(isnan(C(:,i))), continue; end
  if all(isnan(C(:,p)))
    C(:,p) = C(:,i) / N(i) ;
  else
    C(:,p) = C(:,p) + C(:,i) / N(i) ;
  end
  N(p) = N(p) + 1 ;
end

C(1,:) = C(1,:) ./ N ;
C(2,:) = C(2,:) ./ N ;

xt = zeros(3, 2*length(parents)-1)+NaN ;
yt = zeros(3, 2*length(parents)-1)+NaN ;

for i=1:length(parents)
  p = parents(i) ;
  if p==0, continue ; end;
  xt(1,i) = C(1,i) ; xt(2,i) = C(1,p) ;
  yt(1,i) = C(2,i) ; yt(2,i) = C(2,p) ;
end

h=line(xt(:),yt(:),'linestyle','-','marker','.','linewidth',3) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_alldist.m000066400000000000000000000125241203326130700210220ustar00rootroot00000000000000function vl_demo_alldist
%

numRepetitions  = 3 ;
numDimensions   = 1000 ;
numSamplesRange = [300] ;

settingsRange = {{'alldist2', 'double',  'l2',         }, ...
                 {'alldist',  'double',  'l2', 'nosimd'}, ...
                 {'alldist',  'double',  'l2'          }, ...
                 {'alldist2', 'single',  'l2',         }, ...
                 {'alldist',  'single',  'l2', 'nosimd'}, ...
                 {'alldist',  'single',  'l2'          }, ...
                 {'alldist2', 'double',  'l1',         }, ...
                 {'alldist',  'double',  'l1', 'nosimd'}, ...
                 {'alldist',  'double',  'l1'          }, ...
                 {'alldist2', 'single',  'l1',         }, ...
                 {'alldist',  'single',  'l1', 'nosimd'}, ...
                 {'alldist',  'single',  'l1'          }, ...
                 {'alldist2', 'double',  'chi2',         }, ...
                 {'alldist',  'double',  'chi2', 'nosimd'}, ...
                 {'alldist',  'double',  'chi2'          }, ...
                 {'alldist2', 'single',  'chi2',         }, ...
                 {'alldist',  'single',  'chi2', 'nosimd'}, ...
                 {'alldist',  'single',  'chi2'          }, ...
                 {'alldist2', 'double',  'hell',         }, ...
                 {'alldist',  'double',  'hell', 'nosimd'}, ...
                 {'alldist',  'double',  'hell'          }, ...
                 {'alldist2', 'single',  'hell',         }, ...
                 {'alldist',  'single',  'hell', 'nosimd'}, ...
                 {'alldist',  'single',  'hell'          }, ...
                 {'alldist2', 'double',  'kl2',         }, ...
                 {'alldist',  'double',  'kl2', 'nosimd'}, ...
                 {'alldist',  'double',  'kl2'          }, ...
                 {'alldist2', 'single',  'kl2',         }, ...
                 {'alldist',  'single',  'kl2', 'nosimd'}, ...
                 {'alldist',  'single',  'kl2'          }, ...
                 {'alldist2', 'double',  'kl1',         }, ...
                 {'alldist',  'double',  'kl1', 'nosimd'}, ...
                 {'alldist',  'double',  'kl1'          }, ...
                 {'alldist2', 'single',  'kl1',         }, ...
                 {'alldist',  'single',  'kl1', 'nosimd'}, ...
                 {'alldist',  'single',  'kl1'          }, ...
                 {'alldist2', 'double',  'kchi2',         }, ...
                 {'alldist',  'double',  'kchi2', 'nosimd'}, ...
                 {'alldist',  'double',  'kchi2'          }, ...
                 {'alldist2', 'single',  'kchi2',         }, ...
                 {'alldist',  'single',  'kchi2', 'nosimd'}, ...
                 {'alldist',  'single',  'kchi2'          }, ...
                 {'alldist2', 'double',  'khell',         }, ...
                 {'alldist',  'double',  'khell', 'nosimd'}, ...
                 {'alldist',  'double',  'khell'          }, ...
                 {'alldist2', 'single',  'khell',         }, ...
                 {'alldist',  'single',  'khell', 'nosimd'}, ...
                 {'alldist',  'single',  'khell'          }, ...
                } ;

%settingsRange = settingsRange(end-5:end) ;

styles = {} ;
for marker={'x','+','.','*','o'}
  for color={'r','g','b','k','y'}
    styles{end+1} = {'color', char(color), 'marker', char(marker)} ;
  end
end

for ni=1:length(numSamplesRange)
  for ti=1:length(settingsRange)
    tocs = [] ;
    for ri=1:numRepetitions
      rand('state',ri) ;
      randn('state',ri) ;
      numSamples = numSamplesRange(ni) ;
      settings = settingsRange{ti} ;
      [tocs(end+1), D] = run_experiment(numDimensions, ...
                                        numSamples, ...
                                        settings) ;
    end
    means(ni,ti) = mean(tocs) ;
    stds(ni,ti)  = std(tocs) ;
    if mod(ti-1,3) == 0
      D0 = D ;
    else
      err = max(abs(D(:)-D0(:))) ;
      fprintf('err %f\n', err) ;
      if err > 1, keyboard ; end
    end
  end
end

if 0
  figure(1) ; clf ; hold on ;
  numStyles = length(styles) ;
  for ti=1:length(settingsRange)
    si = mod(ti - 1, numStyles) + 1 ;
    h(ti) = plot(numSamplesRange, means(:,ti), styles{si}{:}) ;
    leg{ti} = sprintf('%s ', settingsRange{ti}{:}) ;
    errorbar(numSamplesRange, means(:,ti), stds(:,ti), 'linestyle', 'none') ;
  end
end

for ti=1:length(settingsRange)
  leg{ti} = sprintf('%s ', settingsRange{ti}{:}) ;
end

figure(1) ; clf ;
barh(means(end,:)) ;
set(gca,'ytick', 1:length(leg), 'yticklabel', leg,'ydir','reverse') ;
xlabel('Time [s]') ;

function [elaps, D] = run_experiment(numDimensions, numSamples, settings)

distType  = 'l2' ;
algType   = 'alldist' ;
classType = 'double' ;
useSimd   = true ;

for si=1:length(settings)
  arg = settings{si} ;
  switch arg
    case {'l1', 'l2', 'chi2', 'hell', 'kl2', 'kl1', 'kchi2', 'khell'}
      distType = arg ;
    case {'alldist', 'alldist2'}
      algType = arg ;
    case {'single', 'double'}
      classType = arg ;
    case 'simd'
      useSimd = true ;
    case 'nosimd'
      useSimd = false ;
    otherwise
      assert(false) ;
  end
end

X = rand(numDimensions, numSamples) ;
X(X < .3) = 0 ;

switch classType
  case 'double'
  case 'single'
    X = single(X) ;
end

vl_simdctrl(double(useSimd)) ;

switch algType
  case 'alldist'
    tic ; D = vl_alldist(X, distType) ; elaps = toc ;
  case 'alldist2'
    tic ; D = vl_alldist2(X, distType) ; elaps = toc ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_cmd.m000066400000000000000000000010341203326130700201230ustar00rootroot00000000000000function [err,msg] = vl_demo_cmd(name, args)
% DEMO_CMD: Demo: Command line utility

ext = '' ;
switch mexext
 case 'mexmac'
	arch = 'mac' ;
 case 'mexmaci'
	arch = 'maci' ;
 case 'mexmaci64'
  arch = 'maci64';
 case 'mexglx'
	arch = 'glnx86' ;
 case 'mexa64'
	arch = 'glnxa64' ;
 case 'dll'
	arch = 'win32' ;
	ext = '.exe' ;
 case 'mexw32'
	arch = 'win32' ;
	ext ='.exe' ;
 case 'mexw64'
	arch = 'win64' ;
	ext ='.exe' ;
end

cmd = fullfile(vl_root,'bin',arch,[name ext]) ;
str = ['"' cmd '" ' args] ;
disp(str);
[err,msg] = system(str) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_covdet.m000066400000000000000000000104321203326130700206460ustar00rootroot00000000000000% VL_DEMO_COVDET Demo: VL_COVDET()

% --------------------------------------------------------------------
%                                                               Basics
% --------------------------------------------------------------------

im = vl_impattern('roofs1') ;
im = im(end-128:end,128:320,:) ;

figure(1) ; clf ;
image(im) ; axis image off ;
vl_demo_print('covdet_basic_image') ;

imgs = im2single(rgb2gray(im)) ;
frames = vl_covdet(imgs, 'verbose') ;

hold on ;
vl_plotframe(frames) ;
vl_demo_print('covdet_basic_frames') ;

% --------------------------------------------------------------------
%                                                    Affine adaptation
% --------------------------------------------------------------------

frames = vl_covdet(imgs, 'estimateAffineShape', true, 'verbose') ;

figure(2) ; clf ;
image(im) ; axis image off ; hold on ;
vl_plotframe(frames) ;
vl_demo_print('covdet_affine_frames',.8) ;

% --------------------------------------------------------------------
%                                              Estimating orientations
% --------------------------------------------------------------------

frames = vl_covdet(imgs, 'estimateOrientation', true, 'verbose') ;

figure(3) ; clf ;
image(im) ; axis image off ; hold on ;
vl_plotframe(frames) ;
vl_demo_print('covdet_oriented_frames',.8) ;

% --------------------------------------------------------------------
%                                                   Extracting patches
% --------------------------------------------------------------------

[frames, patches] = vl_covdet(imgs, 'descriptor', 'patch') ;

figure(4) ; clf ;
w = sqrt(size(patches,1)) ;
vl_imarraysc(reshape(patches(:,1:10*10), w,w,[])) ;
axis image off ; hold on ; colormap gray ;
vl_demo_print('covdet_patches') ;

[frames, patches] = vl_covdet(imgs, ...
                              'descriptor', 'patch' ,...
                              'estimateAffineShape', true, ...
                              'estimateOrientation', false) ;

figure(5) ; clf ;
w = sqrt(size(patches,1)) ;
vl_imarraysc(reshape(patches(:,1:10*10), w,w,[])) ;
axis image off ; hold on ; colormap gray ;
vl_demo_print('covdet_affine_patches') ;

% --------------------------------------------------------------------
%                                                  Different detectors
% --------------------------------------------------------------------

names = {'DoG', 'Hessian', ...
         'HarrisLaplace', 'HessianLaplace', ...
         'MultiscaleHarris', 'MultiscaleHessian'} ;
figure(6) ; clf ;
for i = 1:numel(names)
  frames = vl_covdet(imgs, 'method', names{i}) ;

  vl_tightsubplot(3,2,i, 'margintop',0.025, 'marginright', 0.01) ;
  imagesc(im) ; axis image off ;
  hold on ;
  vl_plotframe(frames) ;
  title(names{i}) ;
end

vl_figaspect(3/4) ;
vl_demo_print('covdet_detectors',.9) ;

% --------------------------------------------------------------------
%                                                        Custom frames
% --------------------------------------------------------------------

delta = 15 ;
xr = delta:delta:size(im,2)-delta+1 ;
yr = delta:delta:size(im,1)-delta+1 ;
[x,y] = meshgrid(xr,yr) ;
frames = [x(:)'; y(:)'] ;
frames(end+1,:) = delta/2 ;

[frames, patches] = vl_covdet(imgs, ...
                              'frames', frames, ...
                              'estimateAffineShape', true, ...
                              'estimateOrientation', true) ;

figure(7) ; clf ;
imagesc(im) ;
axis image off ; hold on ; colormap gray ;
vl_plotframe(frames) ;
vl_demo_print('covdet_custom_frames',.8) ;

% --------------------------------------------------------------------
%                                                         Scale spaces
% --------------------------------------------------------------------

[frames, descrs, info] = vl_covdet(imgs) ;

info

figure(8) ; clf ;
vl_plotss(info.gss) ;
colormap gray ;
vl_figaspect(2) ;
vl_demo_print('covdet_gss',.8) ;

figure(9) ; clf ;
vl_plotss(info.css) ;
colormap gray ;
vl_figaspect(2) ;
vl_demo_print('covdet_css',.8) ;


figure(10) ; clf ;
subplot(1,2,1) ;
hist([info.peakScores],10) ;
xlabel('Peak Score') ;
ylabel('Occurences') ;
grid on ;

subplot(1,2,2) ;
hist([info.edgeScores],10) ;
xlabel('Edge Score') ;
ylabel('Occurences') ;
grid on ;

vl_figaspect(2) ;
vl_demo_print('covdet_scores',.9) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_dsift.m000066400000000000000000000046561203326130700205060ustar00rootroot00000000000000% VL_DEMO_DSIFT Demo: DSIFT

randn('state',0) ;
rand('state',0) ;

% read a test image
I = imread(fullfile(vl_root,'data','roofs1.jpg')) ;
I = single(vl_imdown(rgb2gray(I))) ;

% --------------------------------------------------------------------
%                                                      Basic benchmark
% --------------------------------------------------------------------

binSize = 4 ; % bin size in pixels
magnif = 3 ; % bin size / keypoint scale

elaps_dsift = [] ;
elaps_dsift_fast = [] ;
err_dsift = [] ;
err_dsift_fast = [] ;

binSizeRange = [3 4 5 6] ;
for wi = 1:length(binSizeRange)
  binSize = binSizeRange(wi) ;
  scale = binSize / magnif ;

  tic ;
  [f, d] = vl_dsift(vl_imsmooth(I, sqrt(scale.^2 - .25)), ...
                    'size', binSize, ...
                    'step', 2, ...
                    'bounds', [20,20,210,140], ...
                    'floatdescriptors', ...
                    'verbose') ;
  elaps_dsift(wi) = toc ;

  tic ;
  [f, dfast] = vl_dsift(vl_imsmooth(I, sqrt(scale.^2 - .25)), ...
                        'size', binSize, ...
                        'step', 2, ...
                        'bounds', [20,20,210,140], ...
                        'floatdescriptors', ...
                        'fast', ...
                        'verbose') ;
  elaps_dsift_fast(wi) = toc ;

  numKeys = size(f, 2) ;
  f_ = [f ; ones(1, numKeys) * scale ; zeros(1, numKeys)] ;

  tic ;
  [f_, d_] = vl_sift(I, ...
                     'magnif', magnif, ...
                     'frames', f_, ...
                     'firstoctave', -1, ...
                     'levels', 5, ...
                     'floatdescriptors') ;
  elaps_sift(wi) = toc ;

  err_dsift(wi)      = mean(mean(abs(d     - d_)) ./ mean(d_)) * 100 ;
  err_dsift_fast(wi) = mean(mean(abs(dfast - d_)) ./ mean(d_)) * 100 ;
end

figure(1) ; clf ; title('Descriptor  SIFT') ;
plot(binSizeRange, [err_dsift ; err_dsift_fast]', 'linewidth', 3) ;
legend('DSIFT', 'DSIFT fast') ;
ylabel('Approx error (%)') ;
xlabel('binSize parameter') ;
grid on ;
axis square ;

figure(2) ; title('Speedup on regular SIFT') ;
plot(binSizeRange, ...
     [elaps_sift ./ elaps_dsift ; ...
      elaps_sift ./ elaps_dsift_fast ; ...
      elaps_sift ./ elaps_sift], 'linewidth', 3) ;
legend('DSIFT', 'DSIFT fast', 'SIFT') ;
ylabel('Speedup') ;
xlabel('binSize parameter') ;
grid on ;
axis square ;

figure(1) ; vl_demo_print('dsift_accuracy') ;
figure(2) ; vl_demo_print('dsift_speedup') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_hog.m000066400000000000000000000065351203326130700201500ustar00rootroot00000000000000% VL_DEMO_HOG  Demo: HOG features

% Author: Andrea Vedaldi

% AUTORIGHTS

prefix = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;

% --------------------------------------------------------------------
%                                                        Load a figure
% --------------------------------------------------------------------

im = imread(fullfile(vl_root,'data','roofs1.jpg')) ;
im = im2single(im) ;
im = im(1:128,end-128+1:end,:) ;

figure(1) ; clf ;
image(im) ;
axis equal off tight ;
vl_demo_print('hog_image') ;

% --------------------------------------------------------------------
%                                                 Compute HOG features
% --------------------------------------------------------------------

% Standard features
cellSize = 8 ;
hog = vl_hog(im, cellSize, 'verbose') ;
imhog = vl_hog('render', hog, 'verbose') ;

figure(2) ; clf ;
imagesc(imhog) ;
axis image off ; colormap gray ;
vl_demo_print('hog_features') ;

% Dalal-Triggs variant
cellSize = 8 ;
hog = vl_hog(im, cellSize, 'verbose', 'variant', 'dalaltriggs') ;
imhog = vl_hog('render', hog, 'verbose', 'variant', 'dalaltriggs') ;

figure(3) ; clf ;
imagesc(imhog) ;
axis image off ; colormap gray ;
vl_demo_print('hog_features_dalal_triggs') ;

% --------------------------------------------------------------------
%                                                    Flip HOG features
% --------------------------------------------------------------------

hog = vl_hog(im, cellSize) ;
hogFromFlippedImage = vl_hog(im(:,end:-1:1,:), cellSize) ;
perm = vl_hog('permutation') ;
flippedHog = hog(:,end:-1:1,perm) ;

imHog = vl_hog('render', hog) ;
imHogFromFlippedImage = vl_hog('render', hogFromFlippedImage) ;
imFlippedHog = vl_hog('render', flippedHog) ;

figure(4) ; clf ;
subplot(1,3,1) ; imagesc(imHog) ;
axis image off ; title('HOG features') ;
subplot(1,3,2) ; imagesc(imHogFromFlippedImage) ;
axis image off ; title('Flipping the image') ;
subplot(1,3,3) ; imagesc(imFlippedHog) ;
axis image off ; title('Flipping the features') ;
colormap gray ;
vl_demo_print('hog_flipping',1) ;

% --------------------------------------------------------------------
%                                                 Other HOG parameters
% --------------------------------------------------------------------

figure(5) ; clf ;
numOrientationsRange = [3, 4, 5, 9, 21] ;
for i = 1:numel(numOrientationsRange)
  vl_tightsubplot(1, numel(numOrientationsRange), i) ;
  o = numOrientationsRange(i) ;
  hog = vl_hog(im, cellSize, 'verbose', 'numOrientations', o) ;
  imhog = vl_hog('render', hog, 'verbose', 'numOrientations', o) ;
  imagesc(imhog) ;
  axis image off ;
  colormap gray ;
end
vl_demo_print('hog_num_orientations',.9) ;

figure(6) ; clf ;
[x,y] = meshgrid(linspace(-1,1,128)) ;
im = single(sqrt(x.^2+y.^2)) ;
hog1 = vl_hog(im,cellSize,'numOrientations', 4) ;
hog2 = vl_hog(im,cellSize,'numOrientations', 4,'bilinearOrientations') ;
imhog1 = vl_hog('render',hog1,'numOrientations', 4) ;
imhog2 = vl_hog('render',hog2,'numOrientations', 4) ;

subplot(1,3,1) ; imagesc(im) ;
axis image off ; title('Input image') ;
subplot(1,3,2) ; imagesc(imhog1) ;
axis image off ; title('Hard orientation assignments') ;
subplot(1,3,3) ; imagesc(imhog2) ;
axis image off ; title('Soft orientation assignments') ;
colormap gray ;
vl_demo_print('hog_bilinear_orientations',1) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_imdisttf.m000066400000000000000000000020551203326130700212070ustar00rootroot00000000000000% VL_DEMO_IMDISTTF Demonstrates image distance transform

% load image
im = imread(fullfile(vl_root, 'data', 'roofs1.jpg')) ;
im = im(100:200,100:200,:) ;
imSize = [size(im,1) size(im,2)] ;

% creates an edge map
edges = zeros(imSize) + inf;
edges(edge(rgb2gray(im), 'canny')) = 0 ;

% compute distance transform
[distanceTransform, neighbors] = vl_imdisttf(single(edges)) ;

% plot
[u,v] = meshgrid(1:imSize(2),1:imSize(1)) ;
[v_,u_] = ind2sub(imSize, neighbors) ;

% avoid cluttering the plot too much
u = u(1:3:end,1:3:end) ;
v = v(1:3:end,1:3:end) ;
u_ = u_(1:3:end,1:3:end) ;
v_ = v_(1:3:end,1:3:end) ;

figure(1) ; clf ; imagesc(im) ; axis off image ;
figure(2) ; clf ; imagesc(edges) ; axis off image ;
figure(3) ; clf ; imagesc(edges) ; axis off image ;
hold on ; h = quiver(u,v,u_-u,v_-v,0) ; colormap gray ;
figure(4) ; clf ; imagesc(sqrt(distanceTransform)) ; axis off image ;

figure(1) ; vl_demo_print('imdisttf_src') ;
figure(2) ; vl_demo_print('imdisttf_edge') ;
figure(3) ; vl_demo_print('imdisttf_neigh') ;
figure(4) ; vl_demo_print('imdisttf_dist') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_kdtree.m000066400000000000000000000030611203326130700206400ustar00rootroot00000000000000function vl_demo_kdtree
% VL_DEMO_KDTREE
%   Demonstrates the construction of a kd-tree for uniformly
%   distributed 2-D data and data distributed on a circle. Both the
%   median and mean threshold selection methods are illustrated.

  randn('state',0) ;
  rand('state',0) ;

  % uniform 2D points
  Q = single(rand(2,1)) ;
  X = single(rand(2, 100)) ;

  % kd-tree with median and mean thresholds
  figure(1) ; clf ; do('thresholdmethod', 'mean') ;
  figure(2) ; clf ; do('thresholdmethod', 'median') ;

  % 2D points on a circle
  thr = 2*pi*rand(1,100) ;
  X = single(.4*[cos(thr); sin(thr)] + .5) ;
  Q = single(Q) ;

  % kd-tree with median and mean thresholds
  figure(3) ; clf ; do('thresholdmethod', 'mean') ;
  figure(4) ; clf ; do('thresholdmethod', 'median') ;

  vl_demo_print(1, 'kdtree_uniform_mean') ;
  vl_demo_print(2, 'kdtree_uniform_median') ;
  vl_demo_print(3, 'kdtree_circle_mean') ;
  vl_demo_print(4, 'kdtree_circle_median') ;

  function do(varargin)
    % build the forest
    kdforest = vl_kdtreebuild (X, 'verbose', varargin{:}) ;

    % query the kd-tree
    [i, d] = vl_kdtreequery (kdforest, X, Q, 'numneighbors', 10, 'verbose') ;
    vl_plotframe(X, 'ro') ;
    hold on ;
    xl = [0, +1] ;
    yl = [0, +1] ;
    axis equal ;
    xlim(xl) ;
    ylim(yl) ;
    vl_demo_kdtree_plot(kdforest.trees(1), 1, xl, yl) ;

    % plot query point and returns
    vl_plotframe(Q,'b*') ;
    for k=1:length(i)
      vl_plotframe([Q ; sqrt(d(k))],'b:','linewidth',1) ;
      vl_plotframe(X(:, i(k)), 'bx') ;
    end
    set(gca,'xtick',[],'ytick',[]) ;
  end

end
vlfeat-0.9.16/toolbox/demo/vl_demo_kdtree_ann.m000066400000000000000000000025441203326130700215010ustar00rootroot00000000000000function vl_demo_kdtree_ann
% VL_DEMO_KDTREE
%   Demonstrates the use of a kd-tree for approximate nearest neighbor
%   (ANN) queries.

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

randn('state',0) ;
rand('state',0) ;

% Generate some 2D data and a query point
X = rand(2, 100) ;
Q = rand(2,1) ;

% Buld a kd-tree
kdtree = vl_kdtreebuild(X) ;

% Query with increasing accuracy
maxNumComparisonRange = [1 10 20 30] ;
for t = [1 2 3 4]
  figure(t) ; clf ;
  vl_plotframe(X, 'ro') ;
  hold on ;
  xl = [.2, .8] ;
  yl = [.1, .7] ;
  xlim(xl) ;
  ylim(yl) ;

  %  vl_demo_kdtree_plot(kdtree, 1, xl, yl) ;

  [i, d] = vl_kdtreequery (kdtree, X, Q, ...
                           'NumNeighbors', 10, ...
                           'MaxComparisons', maxNumComparisonRange(t), ...
                           'Verbose') ;

  vl_plotframe(Q,'b*','markersize',10) ;
  for k=1:length(i)
    if i(k) == 0, continue ; end
    vl_plotframe([Q ; sqrt(d(k))],'b-','linewidth',1) ;
    vl_plotframe(X(:, i(k)), 'bx','markersize',15) ;
  end
  title(sprintf('10 ANNs with at most %d comparisions', maxNumComparisonRange(t))) ;

  axis square ;
  set(gca,'xtick',[],'ytick',[]) ;
  vl_demo_print(t, sprintf('kdtree_ann_%d', t)) ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_kdtree_forest.m000066400000000000000000000027621203326130700222310ustar00rootroot00000000000000function vl_demo_kdtree_forest
% VL_DEMO_KDTREE
%   Demonstrates the construction of a forest of randomized
%   kd-trees.

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

  % numer of trees in the forest
  numTrees = 4 ;

  randn('state',0) ;
  rand('state',0) ;

  % 2D data X and a query point
  Q = single(rand(2,1)) ;
  X = single(rand(2, 100)) ;

  % build  the forest
  kdforest = vl_kdtreebuild (X,  ...
                             'verbose', ...
                             'numtrees', numTrees) ;

  % plot each tree of the forest
  for t=1:numTrees
    figure(t) ; clf ;
    vl_plotframe(X, 'ro') ;
    hold on ;
    xl = [0, +1] ;
    yl = [0, +1] ;
    xlim(xl) ;
    ylim(yl) ;
    axis square ;
    h = vl_demo_kdtree_plot(kdforest.trees(t), 1, xl, yl) ;
    title(sprintf('Tree number %d', t)) ;
    set(gca,'xtick',[],'ytick',[]) ;
    vl_demo_print(t,sprintf('kdtree_forest_tree_%d', t)) ;
  end

  % query
  [i, d] = vl_kdtreequery (kdforest, X, Q, 'numneighbors', 10, 'verbose') ;

  % show query and return
  figure(5) ; clf ;
  vl_plotframe(X, 'ro') ; hold on ;
  vl_plotframe(Q,'b*') ;
  for k=1:length(i)
    vl_plotframe([Q ; sqrt(d(k))],'b:','linewidth',1) ;
    vl_plotframe(X(:, i(k)), 'bx') ;
  end
  xlim([0 1]) ;
  ylim([0 1]) ;
  axis square ;
  set(gca,'xtick',[],'ytick',[]) ;
  vl_demo_print(5,'kdtree_forest_query') ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_kdtree_plot.m000066400000000000000000000020151203326130700216740ustar00rootroot00000000000000function h = vl_demo_kdtree_plot(kdtree, nodeIndex, xlim, ylim)
% VL_DEMO_KDTREE_PLOT

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

dim        = kdtree.nodes.splitDimension(nodeIndex) ;
thresh     = kdtree.nodes.splitThreshold(nodeIndex) ;
lowerChild  = kdtree.nodes.lowerChild(nodeIndex) ;
upperChild = kdtree.nodes.upperChild(nodeIndex) ;

if dim == 1
  xs = [thresh, thresh] ;
  ys = ylim ;
  ylimLower = ylim ;
  ylimUpper = ylim ;
  xlimLower = [xlim(1) thresh] ;
  xlimUpper = [thresh xlim(2)] ;
else
  xs = xlim ;
  ys = [thresh, thresh] ;
  xlimLower = xlim ;
  xlimUpper = xlim ;
  ylimLower = [ylim(1) thresh] ;
  ylimUpper = [thresh ylim(2)] ;
end
h = line(xs,ys) ;

if lowerChild > 1
  h = [h vl_demo_kdtree_plot(kdtree, lowerChild, xlimLower, ylimLower)] ;
end

if upperChild > 1
  h = [h vl_demo_kdtree_plot(kdtree, upperChild, xlimUpper, ylimUpper)] ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_kdtree_self.m000066400000000000000000000015631203326130700216560ustar00rootroot00000000000000function vl_demo_kdtree_self
% VL_DEMO_KDTREE_SELF
%   Demonstrates using a kd-tree to find the pairwise nearest
%   neighbors in a set of points.

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

randn('state',0) ;
rand('state',0) ;

% a set of 2D pints
X = single(rand(2, 100)) ;

% build the kdtree
kdtree = vl_kdtreebuild(X) ;

% query the kdtree with X itself
[i, d] = vl_kdtreequery(kdtree, X, X, 'numneighbors', 2, 'verbose') ;

% plot
figure(1) ; clf ;
vl_plotframe(X, 'ro') ;
hold on ;
xl = [0, +1] ;
yl = [0, +1] ;
axis equal ;
xlim(xl) ;
ylim(yl) ;
vl_demo_kdtree_plot(kdtree.trees(1), 1, xl, yl) ;
line([X(1,:) ; X(1,i(2,:))], ...
     [X(2,:) ; X(2,i(2,:))], 'linewidth', 2) ;
vl_demo_print('kdtree_self') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_kdtree_sift.m000066400000000000000000000152601203326130700216710ustar00rootroot00000000000000function vl_demo_kdtree_sift
% VL_DEMO_KDTREE_SIFT
%   Demonstrates the use of a kd-tree forest to match SIFT
%   features. If FLANN is present, this function runs a comparison
%   against it.

% AUTORIGHS

rand('state',0) ;
randn('state',0);

do_median = 0 ;
do_mean = 1 ;

% try to setup flann
if ~exist('flann_search', 'file')
  if exist(fullfile(vl_root, 'opt', 'flann', 'build', 'matlab'))
    addpath(fullfile(vl_root, 'opt', 'flann', 'build', 'matlab')) ;
  end
end
do_flann = exist('nearest_neighbors') == 3 ;
if ~do_flann
  warning('FLANN not found. Comparison disabled.') ;
end

maxNumComparisonsRange = [1 10 50 100 200 300 400] ;
numTreesRange = [1 2 5 10] ;

% get data (SIFT features)
im1 = imread(fullfile(vl_root, 'data', 'roofs1.jpg')) ;
im2 = imread(fullfile(vl_root, 'data', 'roofs2.jpg')) ;
im1 = single(rgb2gray(im1)) ;
im2 = single(rgb2gray(im2)) ;
[f1,d1] = vl_sift(im1,'firstoctave',-1,'floatdescriptors','verbose') ;
[f2,d2] = vl_sift(im2,'firstoctave',-1,'floatdescriptors','verbose') ;

% add some noise to make matches unique
d1 = single(d1) + rand(size(d1)) ;
d2 = single(d2) + rand(size(d2)) ;

% match exhaustively to get the ground truth
elapsedDirect = tic ;
D = vl_alldist(d1,d2) ;
[drop, best] = min(D, [], 1) ;
elapsedDirect = toc(elapsedDirect) ;

for ti=1:length(numTreesRange)
  for vi=1:length(maxNumComparisonsRange)
    v = maxNumComparisonsRange(vi) ;
    t = numTreesRange(ti) ;

    if do_median
      tic ;
      kdtree = vl_kdtreebuild(d1, ...
                              'verbose', ...
                              'thresholdmethod', 'median', ...
                              'numtrees', t) ;
      [i, d] = vl_kdtreequery(kdtree, d1, d2, ...
                              'verbose', ...
                              'maxcomparisons',v) ;
      elapsedKD_median(vi,ti) = toc ;
      errors_median(vi,ti) = sum(double(i) ~= best) / length(best) ;
      errorsD_median(vi,ti) = mean(abs(d - drop) ./ drop) ;
    end

    if do_mean
      tic ;
      kdtree = vl_kdtreebuild(d1, ...
                              'verbose', ...
                              'thresholdmethod', 'mean', ...
                              'numtrees', t) ;
      %kdtree = readflann(kdtree, '/tmp/flann.txt') ;
      %checkx(kdtree, d1, 1, 1) ;
      [i, d] = vl_kdtreequery(kdtree, d1, d2, ...
                              'verbose', ...
                              'maxcomparisons', v) ;
      elapsedKD_mean(vi,ti) = toc ;
      errors_mean(vi,ti) = sum(double(i) ~= best) / length(best) ;
      errorsD_mean(vi,ti) = mean(abs(d - drop) ./ drop) ;
    end

    if do_flann
      tic ;
      [i, d] = flann_search(d1, d2, 1, struct('algorithm','kdtree', ...
                                              'trees', t, ...
                                              'checks', v));
      ifla = i ;
      elapsedKD_flann(vi,ti) = toc;
      errors_flann(vi,ti) = sum(i ~= best) / length(best) ;
      errorsD_flann(vi,ti) = mean(abs(d - drop) ./ drop) ;
    end
  end
end

figure(1) ; clf ;
leg = {} ;
hnd = [] ;
sty = {{'color','r'},{'color','g'},...
       {'color','b'},{'color','c'},...
       {'color','k'}} ;

for ti=1:length(numTreesRange)
  s = sty{mod(ti,length(sty))+1} ;

  if do_median
    h1=loglog(elapsedDirect ./ elapsedKD_median(:,ti),100*errors_median(:,ti),'-*',s{:}) ;  hold on ;
    leg{end+1} = sprintf('VLFeat median (%d tr.)', numTreesRange(ti)) ;
    hnd(end+1) = h1 ;
  end

  if do_mean
    h2=loglog(elapsedDirect ./ elapsedKD_mean(:,ti), 100*errors_mean(:,ti), '-o',s{:}) ;  hold on ;
    leg{end+1} = sprintf('VLFeat (%d tr.)', numTreesRange(ti)) ;
    hnd(end+1) = h2 ;
  end

  if do_flann
    h3=loglog(elapsedDirect ./ elapsedKD_flann(:,ti), 100*errors_flann(:,ti), '+--',s{:}) ;  hold on ;
    leg{end+1} = sprintf('FLANN (%d tr.)', numTreesRange(ti)) ;
    hnd(end+1) = h3 ;
  end
end
set([hnd], 'linewidth', 2) ;
xlabel('speedup over linear search (log times)') ;
ylabel('percentage of incorrect matches (%)') ;
h=legend(hnd, leg{:}, 'location', 'southeast') ;
set(h,'fontsize',8) ;
grid on ;
axis square ;
vl_demo_print('kdtree_sift_incorrect',.6) ;

figure(2) ; clf ;
leg = {} ;
hnd = [] ;
for ti=1:length(numTreesRange)
  s = sty{mod(ti,length(sty))+1} ;

  if do_median
    h1=loglog(elapsedDirect ./ elapsedKD_median(:,ti),100*errorsD_median(:,ti),'*-',s{:}) ; hold on ;
    leg{end+1} = sprintf('VLFeat median (%d tr.)', numTreesRange(ti)) ;
    hnd(end+1) = h1 ;
  end

  if do_mean
    h2=loglog(elapsedDirect ./ elapsedKD_mean(:,ti), 100*errorsD_mean(:,ti), 'o-',s{:}) ; hold on ;
    leg{end+1} = sprintf('VLFeat (%d tr.)', numTreesRange(ti)) ;
    hnd(end+1) = h2 ;
  end

  if do_flann
    h3=loglog(elapsedDirect ./ elapsedKD_flann(:,ti), 100*errorsD_flann(:,ti), '+--',s{:}) ; hold on ;
    leg{end+1} = sprintf('FLANN (%d tr.)', numTreesRange(ti)) ;
    hnd(end+1) = h3 ;
  end
end
set([hnd], 'linewidth', 2) ;
xlabel('speedup over linear search (log times)') ;
ylabel('relative overestimation of minmium distannce (%)') ;
h=legend(hnd, leg{:}, 'location', 'southeast') ;
set(h,'fontsize',8) ;
grid on ;
axis square ;
vl_demo_print('kdtree_sift_distortion',.6) ;

% --------------------------------------------------------------------
function checkx(kdtree, X, t, n, mib, mab)
% --------------------------------------------------------------------

if nargin <= 4
  mib = -inf * ones(size(X,1),1) ;
  mab = +inf * ones(size(X,1),1) ;
end

lc = kdtree.trees(t).nodes.lowerChild(n) ;
uc = kdtree.trees(t).nodes.upperChild(n) ;

if lc < 0
  for i=-lc:-uc-1
    di = kdtree.trees(t).dataIndex(i) ;
    if any(X(:,di) > mab)
      error('a') ;
    end
    if any(X(:,di) < mib)
      error('b') ;
    end
  end
  return
end

i = kdtree.trees(t).nodes.splitDimension(n) ;
v = kdtree.trees(t).nodes.splitThreshold(n) ;

mab_ = mab ;
mab_(i) = min(mab(i), v) ;
checkx(kdtree, X, t, lc, mib, mab_) ;

mib_ = mib ;
mib_(i) = max(mib(i), v) ;
checkx(kdtree, X, t, uc, mib_, mab) ;

% --------------------------------------------------------------------
function kdtree = readflann(kdtree, path)
% --------------------------------------------------------------------

data = textread(path)' ;

for i=1:size(data,2)
  nodeIds = data(1,:) ;
  ni = find(nodeIds == data(1,i)) ;
  if ~isnan(data(2,i))
    % internal node
    li = find(nodeIds == data(4,i)) ;
    ri = find(nodeIds == data(5,i)) ;
    kdtree.trees(1).nodes.lowerChild(ni) = int32(li) ;
    kdtree.trees(1).nodes.upperChild(ni) = int32(ri) ;
    kdtree.trees(1).nodes.splitThreshold(ni) = single(data(2,i)) ;
    kdtree.trees(1).nodes.splitDimension(ni) = single(data(3,i)+1) ;
  else
    di = data(3,i) + 1 ;
    kdtree.trees(1).nodes.lowerChild(ni) = int32(- di) ;
    kdtree.trees(1).nodes.upperChild(ni) = int32(- di - 1) ;
  end
  kdtree.trees(1).dataIndex = uint32(1:kdtree.numData) ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_kmeans_init.m000066400000000000000000000026771203326130700216770ustar00rootroot00000000000000% VL_DEMO_KMEANS_INIT

if 0
  I = vl_imtest('box') ;
  [f, d] = vl_dsift(single(I) / 255, 'step', 1, 'size', 3) ;
  X = double(d) ;
  numCenters = 300 ;
else
  X = [] ;
  numCenters = 40 ;
  for i=1:numCenters
    X_ = randn(10,100) ;
    X_(i) = X_(i) + 100 ;
    X = [X X_] ;
  end
  numCenters = numCenters * 2 ;
end
numData    = size(X, 2) ;
dimension  = size(X, 1) ;


clear elaps energy ;

dimension  = 128 ;
numData    = 1000 ;
numCenters = 100 ;
numTrials  = 5 ;
numIters   = 100 ;

vl_twister(0) ;
for trial = 1:numTrials
  tic ;
  [C, idx, e] = vl_kmeans(X, numCenters, 'Verbose', ...
                          'Initialization', 'randsel', ...
                          'MaxNumIterations', numIters) ;
  elaps.vlrs(trial) = toc ;
  energy.vlrs(trial) = e ;

  tic ;
  [C_, idx_, e_] = vl_kmeans(X, numCenters, 'Verbose', ...
                          'Initialization', 'plusplus', ...
                          'MaxNumIterations', numIters) ;
  elaps.vlpp(trial) = toc ;
  energy.vlpp(trial) = e_ ;
end

figure(1) ; clf ;
subplot(1,2,1) ; title('Energy') ;
mu = [mean(elaps.vlrs) mean(elaps.vlpp)] ;
st = [std(elaps.vlrs) std(elaps.vlpp)] ;
bar(mu) ; hold on ;
errorbar(mu, st, 'linestyle', 'none', 'color', 'r', 'linewidth', 4) ;
title('Time') ;

subplot(1,2,2) ;
mu = [mean(energy.vlrs) mean(energy.vlpp)] ;
st = [std(energy.vlrs) std(energy.vlpp)] ;
bar(mu) ; hold on ;
errorbar(mu, st, 'linestyle', 'none', 'color', 'r', 'linewidth', 4) ;
title('Energy') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_kmeans_vs_builtin.m000066400000000000000000000020511203326130700230740ustar00rootroot00000000000000% VL_DEMO_KMEANS_VS_BUILTIN

clear elaps energy ;

dimension  = 128 ;
numData    = 1000 ;
numCenters = 10 ;
numTrials  = 10 ;

for trial = 1:numTrials
  X = rand(dimension, numData) ;

  tic ;
  [idx, C, e] = kmeans(X', numCenters) ;
  e = sum(e) ;
  elaps.builtin(trial) = toc ;
  energy.builtin(trial) = e ;

  tic ;
  [idx_, C_, e] = vl_kmeans(X, numCenters, 'verbose') ;
  elaps.vl(trial) = toc ;
  energy.vl(trial) = e ;

  tic ;
  [idx_, C_, e] = vl_kmeans(X, numCenters, 'initialization', 'plusplus') ;
  elaps.vlpp(trial) = toc ;
  energy.vlpp(trial) = e ;
end

figure(1) ; clf ;
subplot(1,2,1) ; title('Energy') ;
mu = [mean(elaps.builtin) mean(elaps.vl) mean(elaps.vlpp)] ;
st = [std(elaps.builtin) std(elaps.vl) std(elaps.vlpp)] ;
bar(mu) ; hold on ;
errorbar(mu, st, 'linestyle', 'none', 'color', 'r', 'linewidth', 4) ;

subplot(1,2,2) ;
mu = [mean(energy.builtin) mean(energy.vl) mean(energy.vlpp)] ;
st = [std(energy.builtin) std(energy.vl) std(energy.vlpp)] ;
bar(mu) ; hold on ;
errorbar(mu, st, 'linestyle', 'none', 'color', 'r', 'linewidth', 4) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_mser_basic.m000066400000000000000000000046161203326130700215000ustar00rootroot00000000000000% VL_DEMO_MSER_BASIC  Demo: MSER: basic functionality

pfx = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;

% --------------------------------------------------------------------
%                                                        Load a figure
% --------------------------------------------------------------------
I = imread(fullfile(vl_root,'data','spots.jpg')) ;

image(I) ; colormap gray ;
axis equal ; axis off ; axis tight ;
vl_demo_print('mser_basic_0') ;

% --------------------------------------------------------------------
%                                       Convert the to required format
% --------------------------------------------------------------------
I = uint8(rgb2gray(I)) ;

clf ; imagesc(I) ; colormap(gray(256)) ;
axis equal ; axis off ; axis tight ;

% --------------------------------------------------------------------
%                                                             Run VL_MSER
% --------------------------------------------------------------------
[r,f] = vl_mser(I,'MinDiversity',0.7,'MaxVariation',0.2,'Delta',10) ;

% compute regions mask
M = zeros(size(I)) ;
for x=r'
  s = vl_erfill(I,x) ;
  M(s) = M(s) + 1;
end

% adjust convention
f = vl_ertr(f) ;

figure(1) ;
hold on ;
h1 = vl_plotframe(f) ; set(h1,'color','y','linewidth',3) ;
h2 = vl_plotframe(f) ; set(h2,'color','k','linewidth',1) ;
vl_demo_print('mser_basic_frames') ;

figure(2) ; clf ; imagesc(I) ; hold on ;
colormap(gray(256)) ;
[c,h]=contour(M,(0:max(M(:)))+.5) ;
set(h,'color','y','linewidth',3) ;
axis equal ; axis off ;
vl_demo_print('mser_basic_contours') ;

% --------------------------------------------------------------------
%                                                       Run VL_MSER again
% --------------------------------------------------------------------

[r,f] = vl_mser(I,'MinDiversity',0.7,'MaxVariation',0.2,...
  'Delta',10,'BrightOnDark',1,'DarkOnBright',0) ;

% adjust convention
f = vl_ertr(f) ;

% compute regions mask
M = zeros(size(I)) ;
for x=r'
  s = vl_erfill(I,x) ;
  M(s) = M(s) + 1;
end

figure(1) ;
hold on ;
h1 = vl_plotframe(f) ; set(h1,'color','g','linewidth',3) ;
h2 = vl_plotframe(f) ; set(h2,'color','k','linewidth',1) ;
vl_demo_print('mser_basic_frames_both') ;

figure(2) ;
[c,h]=contour(M,(0:max(M(:)))+.5) ;
set(h,'color','g','linewidth',3) ;

hold on ; axis equal ; axis off ;
vl_demo_print('mser_basic_contours_both') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_mser_cmd.m000066400000000000000000000024651203326130700211620ustar00rootroot00000000000000% VL_DEMO_MSER_CMD Demo: MSER: test command line utility

pfx = fullfile(vl_root,'results') ;
if ~ exist(pfx, 'dir')
  mkdir(pfx) ;
end

p_img = fullfile(vl_root,'data','spots.jpg') ;
p_pgm = fullfile(pfx,'spots.pgm') ;
p_sed = fullfile(pfx,'spots.mser') ;
p_frm = fullfile(pfx,'spots.frame') ;
p_tmp = fullfile(pfx,'spots.tmp') ;

I = imread(p_img) ;
I = uint8(rgb2gray(I)) ;
imwrite(I,p_pgm,'pgm') ;

% --------------------------------------------------------------------
%                                                             Test cmd
% --------------------------------------------------------------------

[err,msg] = vl_demo_cmd('mser',[p_pgm ...
                    ' --seeds=ascii://' p_sed ...
                    ' --frames=ascii://' p_frm ...
                    ' --max-variation=0.2 ' ...
                    ' --min-diversity=0.7 ' ...
                    ' --delta=10 ' ...
                    ' --verbose '] ) ;

r_ = load(p_sed,'-ASCII')';
% note: bright-on-dark region seeds are negative
r_ = r_ + sign(r_); % add one for matlab indexing
f_ = load(p_frm,'-ASCII')' ; f_(1:2,:) = f_(1:2,:) + 1 ;

[r,f] = vl_mser(I','MinDiversity',0.7,'MaxVariation',0.2,'Delta',10) ;

if(any(r ~= r_) | any(any(abs(f - f_)>1e-5)))
  warning('demo_mser_cmd: failed consistency test of commmand line and MATLAB drivers.') ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_mser_delta.m000066400000000000000000000015341203326130700215040ustar00rootroot00000000000000% VL_DEMO_MSER_DELTA  Demo: MSER: delta parameter

randn('state',0) ;
rand('state',0) ;

I = zeros(100,500) + 255 ;
for i=1:5
  I((1:50) + 25 - 1, ...
    (1:50) + 25 - 1 + 100 * (i-1)) = ...
    255 - 32 * i ;
end
I = uint8(I) ;

figure(1) ; clf ;
axes('position',[0.05 0.05 1-.1 2*1/5-.1]) ;
plot(I(end/2,:),'linewidth',3) ;
hold on ;
vl_demo_print('mser_delta_0') ;


figure(2) ; clf ;
imagesc(I) ; axis off ; axis equal ; axis tight ;
colormap(gray(256)) ;
set(gca,'fontsize',20) ;

deltar = [1 32 159 160] ;
clear h ;
for delta=deltar
  [r,f] = vl_mser(I, 'Delta', delta, 'BrightOnDark', 0, 'verbose') ;

  if exist('h','var'), delete(h) ; end
  h = vl_plotframe(vl_ertr(f)) ;
  if ~isempty(h), set(h,'color','y','linewidth',1) ; end
  title(sprintf('delta = %g', delta)) ;
  drawnow ;

  vl_demo_print(sprintf('mser_delta_%d',find(delta==deltar))) ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_plots_rank.m000066400000000000000000000013601203326130700215360ustar00rootroot00000000000000%VL_DEMO_PLOTS_RANK  Demonstates VL_ROC, VL_DET, VL_PR

randn('state',0) ;
numPos = 20 ;
numNeg = 100 ;
labels = [ones(1, numPos) -ones(1,numNeg)] ;
scores = randn(size(labels)) + labels ;

figure(1) ; clf ;
vl_roc(labels,scores) ;
vl_demo_print(1,'plots_rank_roc', 0.5) ;

figure(2) ; clf ;
subplot(2,2,1) ; vl_roc(labels,scores, 'plot', 'tntp') ;
subplot(2,2,2) ; vl_roc(labels,scores, 'plot', 'tptn') ;
subplot(2,2,3) ; vl_roc(labels,scores, 'plot', 'fptp') ;
subplot(2,2,4) ; vl_roc(labels,scores, 'plot', 'fpfn') ;
vl_figaspect(1) ;
vl_demo_print(2,'plots_rank_roc_variants', 1) ;

figure(3) ; clf ;
vl_det(labels,scores) ;
vl_demo_print(3,'plots_rank_det', 0.5) ;

figure(4) ; clf ;
vl_pr(labels,scores) ;
vl_demo_print(4,'plots_rank_pr', 0.5) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_print.m000066400000000000000000000027751203326130700205310ustar00rootroot00000000000000function vl_demo_print(varargin)
% VL_DEMO_PRINT
%   VL_DEMO_PRINT(NAME) print the current figure to the
%   documentation directory with the specified filename.
%
%   VL_DEMO_PRINT(NAME, R) specifies a magnification factor R, which
%   express the figure width relative to the page width. If not
%   specified, R is assumed to be 1/2.
%
%   Remarks:: The figure paper type is set to letter, that has size 8.5 x
%     11 inches. When converted for web viewing, images are rasterized
%     at either 75 or 95 DPI, The documentation system converts images
%     to bitmap with a resolution of 75 DPI, which makes a letter size
%     page 637 or 808 pixels large, repsectively.
%
%     In MATLAB font sizes are usually expressed in points, where a
%     point is a 1/72 inch. Thus a 12pt font sampled at 75 DPI is
%     about 12.5 pixels high.

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if isa(varargin{1}, 'double')
  fig = varargin{1} ;
  varargin(1) = [] ;
else
  fig = gcf ;
end

name = varargin{1} ;

if length(varargin) < 2
  figurePaperSize = 0.5 ;
else
  figurePaperSize = varargin{2} ;
end

vl_printsize(fig, figurePaperSize) ;

figDir = fullfile(vl_root,'doc','demo') ;
if ~ exist(figDir, 'dir')
  mkdir(figDir) ;
end

filePath = fullfile(figDir, [name '.eps']) ;
print(fig, '-depsc2', filePath) ;
fprintf('%s: wrote file ''%s''\n', mfilename,  filePath) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_quickshift.m000066400000000000000000000022721203326130700215370ustar00rootroot00000000000000% VL_DEMO_QUICKSHIFT  Demo: Quick shift: basic functionality

pfx = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;

% --------------------------------------------------------------------
%                                                        Load a figure
% --------------------------------------------------------------------
I = imread(fullfile(vl_root,'data','roofs1.jpg')) ;

image(I) ;
axis equal off tight ;
vl_demo_print('quickshift_image') ;

% --------------------------------------------------------------------
%                                     Create a quickshift segmentation
% --------------------------------------------------------------------

ratio = 0.5;
kernelsize = 2;
maxdist = 10;

Iseg = vl_quickseg(I, ratio, kernelsize, maxdist);
image(Iseg);
axis equal off tight;
vl_demo_print('quickshift_qseg_1') ;

kernelsize = 2;
maxdist = 20;
Iseg = vl_quickseg(I, ratio, kernelsize, maxdist);
image(Iseg);
axis equal off tight;
vl_demo_print('quickshift_qseg_2') ;


maxdist = 50;
ndists = 10;
Iedge = vl_quickvis(I, ratio, kernelsize, maxdist, ndists);
imagesc(Iedge);
axis equal off tight;
colormap gray;
vl_demo_print('quickshift_qvis') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_basic.m000066400000000000000000000055631203326130700215010ustar00rootroot00000000000000% VL_DEMO_SIFT_BASIC  Demo: SIFT: basic functionality

pfx = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;

% --------------------------------------------------------------------
%                                                        Load a figure
% --------------------------------------------------------------------
I = imread(fullfile(vl_root,'data','roofs1.jpg')) ;

image(I) ; colormap gray ;
axis equal ; axis off ; axis tight ;
vl_demo_print('sift_basic_0') ;

% --------------------------------------------------------------------
%                                       Convert the to required format
% --------------------------------------------------------------------
I = single(rgb2gray(I)) ;

clf ; imagesc(I)
axis equal ; axis off ; axis tight ;
vl_demo_print('sift_basic_1') ;

% --------------------------------------------------------------------
%                                                             Run SIFT
% --------------------------------------------------------------------
[f,d] = vl_sift(I) ;

hold on ;
perm = randperm(size(f,2)) ;
sel  = perm(1:50) ;
h1   = vl_plotframe(f(:,sel)) ; set(h1,'color','k','linewidth',3) ;
h2   = vl_plotframe(f(:,sel)) ; set(h2,'color','y','linewidth',2) ;

vl_demo_print('sift_basic_2') ;

delete([h1 h2]);

h3 = vl_plotsiftdescriptor(d(:,sel),f(:,sel)) ;
set(h3,'color','k','linewidth',2) ;
h4 = vl_plotsiftdescriptor(d(:,sel),f(:,sel)) ;
set(h4,'color','g','linewidth',1) ;
h1   = vl_plotframe(f(:,sel)) ; set(h1,'color','k','linewidth',3) ;
h2   = vl_plotframe(f(:,sel)) ; set(h2,'color','y','linewidth',2) ;

vl_demo_print('sift_basic_3') ;

% --------------------------------------------------------------------
%                                                      Custom keypoint
% --------------------------------------------------------------------
clf ; imagesc(I(1:200,1:200,:))
axis equal ; axis off ; axis tight ;
hold on;

fc = [100;100;10;-pi/8] ;
[f,d] = vl_sift(I,'frames',fc) ;

h3   = vl_plotsiftdescriptor(d,f) ;  set(h3,'color','k','linewidth',3) ;
h4   = vl_plotsiftdescriptor(d,f) ;  set(h4,'color','g','linewidth',2) ;
h1   = vl_plotframe(f) ; set(h1,'color','k','linewidth',4) ;
h2   = vl_plotframe(f) ; set(h2,'color','y','linewidth',2) ;

vl_demo_print('sift_basic_4') ;

% --------------------------------------------------------------------
%                                   Custom keypoints with orientations
% --------------------------------------------------------------------

fc = [100;100;10;0] ;
[f,d] = vl_sift(I,'frames',fc,'orientations') ;

delete([h1 h2 h3 h4]) ;

h3   = vl_plotsiftdescriptor(d,f) ;  set(h3,'color','k', 'linewidth',3) ;
h4   = vl_plotsiftdescriptor(d,f) ;  set(h4,'color','g', 'linewidth',2) ;
h1   = vl_plotframe(f) ; set(h1,'color','k','linewidth',4) ;
h2   = vl_plotframe(f) ; set(h2,'color','y','linewidth',2) ;

vl_demo_print('sift_basic_5') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_cmd.m000066400000000000000000000070341203326130700211560ustar00rootroot00000000000000% VL_DEMO_SIFT_CMD Demo: SIFT: test command line utility

pfx = fullfile(vl_root,'results') ;
vl_xmkdir(pfx) ;

p_img = fullfile(vl_root,'data','box.pgm') ;
p_low = fullfile(vl_root,'data','box.sift') ;
p_txt = fullfile(pfx,'box.sift') ;
p_tmp = fullfile(pfx,'box.tmp') ;

I = imread(p_img) ;
I = single(I) ;

[f0,d0] = vl_ubcread(p_low) ;

% --------------------------------------------------------------------
%                                                        Test detector
% --------------------------------------------------------------------

[err,msg] = vl_demo_cmd('sift',['"' p_img '" --output=ascii://"' p_txt ...
                   '" --peak-thresh=3.4 --edge-thresh=10 --first-octave=-1']) ;
if (err), error(msg) ; end

data      = load(p_txt,'-ASCII') ;
f1        = data(:,1:4)' ; f1(1:2,:) = f1(1:2,:) + 1 ;
d1        = uint8(data(:,5:end)') ;
[f,d]     = vl_sift(I,'FirstOctave',-1,'edgethresh',10,'peakthresh',3.4) ;

disp(msg) ;

[m0, sc0]  = vl_ubcmatch(d,d0) ;
[m1, sc1]  = vl_ubcmatch(d,d1) ;
[dr,perm]  = sort(sc0,'ascend') ;

figure(1) ; clf ;
imagesc(I) ; colormap gray ; hold on ;
h = vl_plotframe(f) ;  set(h,'color','g','linewidth',4) ;
h = vl_plotframe(f1) ; set(h,'color','b','linewidth',2) ;
h = vl_plotframe(f0) ; set(h,'color','r','linewidth',1) ;

legend('MATLAB','command line','original SIFT') ;

axis equal ; axis off ; axis tight ;
vl_demo_print('sift_cmd_1') ;

figure(2) ; clf ;
imagesc(I) ; colormap(gray(256)) ; hold on ;
s      = m0(1,perm(1:20)) ;
s0     = m0(2,perm(1:20)) ;
[dr,a] = intersect(m1(1,:),s) ;
s1     = m1(2,a) ;

h = vl_plotsiftdescriptor(d(:,s),  f(:,s)  ) ; set(h,'color','g','linewidth',4) ;
h = vl_plotsiftdescriptor(d1(:,s1),f1(:,s1)) ; set(h,'color','b','linewidth',2) ;
h = vl_plotsiftdescriptor(d0(:,s0),f0(:,s0)) ; set(h,'color','r','linewidth',1) ;

legend('MATLAB','command line','original SIFT') ;

axis equal ; axis off ; axis tight ;
vl_demo_print('sift_cmd_2') ;

% --------------------------------------------------------------------
%                                                      Test descriptor
% --------------------------------------------------------------------

tmp=f0' ; tmp(:,1:2) = tmp(:,1:2) - 1 ;
save(p_tmp,'tmp','-ASCII') ;

[err,msg] = vl_demo_cmd('sift',['"' p_img ...
                    '" --output "ascii://' p_txt ...
                    '" --read-frames "ascii://' p_tmp ...
                    '" -v']) ;
disp(msg) ;

data      = load(p_txt,'-ASCII') ;
f1        = data(:,1:4)' ; f1(1:2,:) = f1(1:2,:) + 1 ;
d1        = uint8(data(:,5:end)') ;
[f,d]     = vl_sift(I,'FirstOctave',-1,'frames',f0,'verbose') ;

[m0, sc0]  = vl_ubcmatch(d,d0) ;
[m1, sc1]  = vl_ubcmatch(d,d1) ;
[dr,perm]  = sort(sc0,'ascend') ;

figure(3) ; clf ;
imagesc(I) ; colormap(gray(256)) ; hold on ;
h = vl_plotframe(f) ;  set(h,'color','g','linewidth',4) ;
h = vl_plotframe(f1) ; set(h,'color','b','linewidth',2) ;
h = vl_plotframe(f0) ; set(h,'color','r','linewidth',1) ;

legend('MATLAB','command line','original SIFT') ;

axis equal ; axis off ; axis tight ;
vl_demo_print('sift_cmd_3') ;

figure(4) ; clf ;
imagesc(I) ; colormap(gray(256)) ; hold on ;
s      = m0(1,perm(1:20)) ;
s0     = m0(2,perm(1:20)) ;
[dr,a] = intersect(m1(1,:),s) ;
s1     = m1(2,a) ;

h = vl_plotsiftdescriptor(d(:,s),  f(:,s)  ) ; set(h,'color','g','linewidth',4) ;
h = vl_plotsiftdescriptor(d1(:,s1),f1(:,s1)) ; set(h,'color','b','linewidth',2) ;
h = vl_plotsiftdescriptor(d0(:,s0),f0(:,s0)) ; set(h,'color','r','linewidth',1) ;

legend('MATLAB','command line','original SIFT') ;

axis equal ; axis off ; axis tight ;
vl_demo_print('sift_cmd_4') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_edge.m000066400000000000000000000013571203326130700213210ustar00rootroot00000000000000% VL_DEMO_SIFT_EDGE  Demo: SIFT: edge treshold

randn('state',0) ;
rand('state',0) ;

I = zeros(100,500) ;
for i=[10 20 30 40 50 60 70 80 90]
  d = round(i/3) ;
  I(50-d:50+d,i*5) = 1 ;
end
I = 2*pi*8^2 * vl_imsmooth(I,8) ;
I = single(255 * I) ;

figure(1) ; clf ;
imagesc(I) ; colormap gray ;
axis equal ;  axis off ; axis tight ;
hold on ;

vl_demo_print('sift_edge_0') ;

ter=[3.5 5 7.5 10] ;
for te=ter
  f = vl_sift(I, ...
           'PeakThresh',   0,  ...
           'EdgeThresh',   te, ...
           'FirstOctave', -1  ) ;
  h1 = vl_plotframe(f) ;
  set(h1,'color','k','linewidth',3) ;
  h2 = vl_plotframe(f) ;
  set(h2,'color','y','linewidth',2) ;

  vl_demo_print(sprintf('sift_edge_%d', find(te==ter))) ;
  delete(h1) ;
  delete(h2) ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_match.m000066400000000000000000000026031203326130700215040ustar00rootroot00000000000000% VL_DEMO_SIFT_MATCH  Demo: SIFT: basic matching

pfx = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;

% --------------------------------------------------------------------
%                                                    Create image pair
% --------------------------------------------------------------------

Ia = imread(fullfile(vl_root,'data','roofs1.jpg')) ;
Ib = imread(fullfile(vl_root,'data','roofs2.jpg')) ;

% --------------------------------------------------------------------
%                                           Extract features and match
% --------------------------------------------------------------------

[fa,da] = vl_sift(im2single(rgb2gray(Ia))) ;
[fb,db] = vl_sift(im2single(rgb2gray(Ib))) ;

[matches, scores] = vl_ubcmatch(da,db) ;

[drop, perm] = sort(scores, 'descend') ;
matches = matches(:, perm) ;
scores  = scores(perm) ;

figure(1) ; clf ;
imagesc(cat(2, Ia, Ib)) ;
axis image off ;
vl_demo_print('sift_match_1', 1) ;

figure(2) ; clf ;
imagesc(cat(2, Ia, Ib)) ;

xa = fa(1,matches(1,:)) ;
xb = fb(1,matches(2,:)) + size(Ia,2) ;
ya = fa(2,matches(1,:)) ;
yb = fb(2,matches(2,:)) ;

hold on ;
h = line([xa ; xb], [ya ; yb]) ;
set(h,'linewidth', 1, 'color', 'b') ;

vl_plotframe(fa(:,matches(1,:))) ;
fb(1,:) = fb(1,:) + size(Ia,2) ;
vl_plotframe(fb(:,matches(2,:))) ;
axis image off ;

vl_demo_print('sift_match_2', 1) ;
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_or.m000066400000000000000000000010601203326130700210240ustar00rootroot00000000000000% VL_DEMO_SIFT_OR  Demonstrates SIFT orientation detection

I = vl_impattern('wedge') ;
ur = 1:size(I,2) ;
vr = 1:size(I,1) ;

% distribute frames on a grid
[u,v] = meshgrid(ur(5:10:end-4),vr(5:10:end-4)) ;
f = [u(:)';v(:)'] ;
K = size(f,2) ;
f = [f ; 4 * ones(1,K) ; 0 * ones(1,K)] ;

% detect orienntations
f = vl_sift(single(I), 'frames', f, 'orientations') ;

figure(1) ; clf ;
imagesc(I) ; colormap gray ; hold on ;
vl_plotframe(f,'color','k','linewidth',3) ;
vl_plotframe(f,'color','y','linewidth',2) ;
axis equal ; axis off ;
vl_demo_print('sift_or') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_peak.m000066400000000000000000000014231203326130700213270ustar00rootroot00000000000000% VL_DEMO_SIFT_PEAK  Demo: SIFT: peak treshold

randn('state',0) ;
rand('state',0) ;

I = double(rand(100,500) <= .005) ;
I = (ones(100,1) * linspace(0,1,500)) .* I ;
I(:,1) = 0 ; I(:,end) = 0 ;
I(1,:) = 0 ; I(end,:) = 0 ;
I = 2*pi*4^2 * vl_imsmooth(I,4) ;
I = single(255 * I) ;

figure(1) ; clf ;
imagesc(I) ; colormap gray ;
axis equal ;  axis off; axis tight ;
hold on ;

vl_demo_print('sift_peak_0') ;

tpr = [0 10 20 30] ;
for tp=tpr
  f = vl_sift(I, ...
           'PeakThresh',   tp,    ...
           'EdgeThresh',   10000, ...
           'FirstOctave', -1) ;

  h1 = vl_plotframe(f) ;
  set(h1,'color','k','linewidth',3) ;
  h2 = vl_plotframe(f) ;
  set(h2,'color','y','linewidth',2) ;

  vl_demo_print(sprintf('sift_peak_%d',find(tp==tpr))) ;
  delete(h1) ;
  delete(h2) ;
end
vlfeat-0.9.16/toolbox/demo/vl_demo_sift_vs_ubc.m000066400000000000000000000044671203326130700217030ustar00rootroot00000000000000% VL_DEMO_SIFT_VS_UBC Compare VLFeat SIFT with Lowe's original

% --------------------------------------------------------------------
%                            Load a figure and original SIFT keypoints
% --------------------------------------------------------------------

im = imread(fullfile(vl_root, 'data', 'box.pgm')) ;
[f1,d1] = vl_ubcread(fullfile(vl_root, 'data', 'box.sift')) ;

% --------------------------------------------------------------------
%                                    Compare with VLFeat SIFT detector
% --------------------------------------------------------------------

f2 = vl_sift(im2single(im), ...
             'firstoctave', -1, ...
             'peakthresh', .01, ...
             'edgethresh', 10, ...
             'windowsize', 2, ...
             'verbose') ;

D = sqrt(vl_alldist2(f1(1:2,:), f2(1:2,:))) ;
[d12,m12] = min(D,[],2) ;
[d21,m21] = min(D,[],1) ;

matches = [1:size(f1,2), m21 ; m12',  1:size(f2,2)] ;
proxim  = [d12', d21] ;

h = histc(proxim, [0 .01 .05 +inf]) ;
h = h / sum(h) * 100 ;
h = h(1:end-1) ;

figure(1) ; clf ;
imagesc(im) ; colormap(gray(256)) ; hold on ;
vl_plotframe(f1, 'linewidth', 3, 'color', 'r') ;
vl_plotframe(f2, 'linewidth',  1, 'color', 'b') ;
axis image off ;
vl_demo_print('sift_vs_ubc_1', 0.7) ;

figure(2) ; clf ;
pie(h) ;
colormap hot(3) ;
legend({'0.01 pixels', '0.05 pixels', 'others'}, ...
       'location', 'northeastoutside') ;
set(findobj(2, '-property', 'fontsize'), 'fontsize', 11) ;
vl_demo_print('sift_vs_ubc_2') ;

% --------------------------------------------------------------------
%                                  Compare with VLFeat SIFT descriptor
% --------------------------------------------------------------------

[drop,d2]=vl_sift(im2single(im), 'frames', f1, 'verbose', 'firstoctave', -1) ;

D = sqrt(double(vl_alldist2(d1, d2, 'l2'))) ;
[d12,m12] = min(D,[],2) ;
[d21,m21] = min(D,[],1) ;

matches = [1:size(d1,2), m21 ; m12',  1:size(d2,2)] ;
proxim  = [d12', d21] ;

meanDist = mean(D(:)) ;

h = histc(proxim, meanDist * [0 .05 .10 .20 +inf]) ;
h = h / sum(h) * 100 ;
h = h(1:end-1) ;

figure(3) ; clf ;
pie(h) ;
colormap hot(4) ;
legend({'5% differnce', '10% difference', '20% difference', 'others'}, ...
       'location', 'northeastoutside') ;
set(findobj(3, '-property', 'fontsize'), 'fontsize', 11) ;
vl_demo_print('sift_vs_ubc_3') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_slic.m000066400000000000000000000030171203326130700203150ustar00rootroot00000000000000% VL_DEMO_SLICT  Demo: SLIC superpixels

prefix = fullfile(vl_root,'figures','demo') ;
randn('state',0) ;
rand('state',0) ;
figure(1) ; clf ;

% --------------------------------------------------------------------
%                                                        Load a figure
% --------------------------------------------------------------------

im = imread(fullfile(vl_root,'data','roofs1.jpg')) ;
im = im2single(im) ;
im = im(1:128,end-128+1:end,:) ;

figure(1) ; clf ;
image(im) ;
axis equal off tight ;
vl_demo_print('slic_image') ;

% --------------------------------------------------------------------
%                                    Create various SLIC segmentations
% --------------------------------------------------------------------

regionSizes = [10 30] ;
regularizers = [0.01 0.1 1] ;

figure(2) ; clf ;
for i = 1:numel(regionSizes)
  for j = 1:numel(regularizers)
    regionSize = regionSizes(i) ;
    regularizer = regularizers(j) ;
    segments = vl_slic(im, regionSize, regularizer, 'verbose') ;

    % overaly segmentation
    [sx,sy]=vl_grad(double(segments), 'type', 'forward') ;
    s = find(sx | sy) ;
    imp = im ;
    imp([s s+numel(im(:,:,1)) s+2*numel(im(:,:,1))]) = 0 ;

    vl_tightsubplot(numel(regionSizes),numel(regularizers), (i-1)*numel(regularizers) + j) ;
    imagesc(imp) ; axis image off ; hold on ;
    text(5,5,sprintf('regionSize:%.2g\nregularizer:%.2g', regionSize, regularizer), ...
         'Background', 'white','VerticalAlignment','top')
  end
end

vl_demo_print('slic_segmentation') ;
vlfeat-0.9.16/toolbox/demo/vl_demo_svmpegasos.m000066400000000000000000000024301203326130700215500ustar00rootroot00000000000000% VL_DEMO_SVMPEGASOS  Demo: SVMPEGASOS: 2D linear learning
function vl_demo_svmpegasos

% Set up training data
Np = 200 ;
Nn = 200 ;
Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2  ;
Xn(1,:) = Xn(1,:) - 2  ;

X = [Xp Xn] ;
y = [ones(1,Np) -ones(1,Nn)] ;

figure(1)
plot(Xn(1,:),Xn(2,:),'*')
hold on
plot(Xp(1,:),Xp(2,:),'*r')
axis equal ; 
%axis off ; axis tight ;
vl_demo_print('pegasos_training') ;

% parameters
lambda = 0.01 ; 

% training
energy = [] ;
dataset = vl_maketrainingset(X, int8(y)) ;
[w b info] = vl_svmpegasos(dataset, lambda, ...
                           'MaxIterations',5000,...
                           'DiagnosticFunction',@diagnostics,...
                           'DiagnosticCallRef',energy) ;

figure(1) ;
x = min(X(1,:)):max(X(1,:)) ; 
hold on
set(line([0 w(1)], [0 w(2)]), 'color', 'y', 'linewidth', 4) ;
xlim([-3 3]) ;
ylim([-3 3]) ;
set(line(10*[w(2) -w(2)], 10*[-w(1) w(1)]), ...
    'color', 'y', 'linewidth', 2, 'linestyle', '-') ;
axis equal ;
hold off
%axis off ; axis tight ;
vl_demo_print('pegasos_res') ;

figure(2)
%axis equal ; 
%axis off ; axis tight ;
vl_demo_print('pegasos_energy') ;


function energy = diagnostics(svm,energy)
  figure(2) ; 
  %keyboard
  energy = [energy svm.energy] ;
  plot(energy) ;
  drawnow ;
vlfeat-0.9.16/toolbox/geometry/000077500000000000000000000000001203326130700164065ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/geometry/vl_hat.m000066400000000000000000000007411203326130700200430ustar00rootroot00000000000000function H = vl_hat(om)
% VL_HAT  Hat operator
%   H = VL_HAT(OM) returns the skew symmetric matrix by taking the "hat"
%   of the 3D vector OM.
%
%   See also: VL_IHAT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

H = [0      -om(3)  om(2) ;
     om(3)  0      -om(1) ;
     -om(2) om(1)   0     ] ;
vlfeat-0.9.16/toolbox/geometry/vl_ihat.m000066400000000000000000000006731203326130700202200ustar00rootroot00000000000000function om = vl_ihat( H )
% VL_IHAT Inverse vl_hat operator
%   OM = VL_IHAT(H) returns a vector OM such that VL_HAT(OM) = H.
%   H hast to be 3x3 skew-symmetric.
%
%   See also: VL_HAT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

om = [H(3,2);H(1,3);H(2,1)] ;
vlfeat-0.9.16/toolbox/geometry/vl_irodr.c000066400000000000000000000041711203326130700203750ustar00rootroot00000000000000/* file:        irodr.mex.c
** author:      Andrea Vedaldi
** description: Inverse rodrigues formula
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 

enum {
  IN_R = 0
} ;

enum {
  OUT_OM=0,
  OUT_DOM
} ;

/* -------------------------------------------------------------------
**                                                              Driver
** ----------------------------------------------------------------- */

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  int k,K ;
  double* om_pt ;
  double* dom_pt ;
  double const * R_pt ;

  /* -----------------------------------------------------------------
  **                                               Check the arguments
  ** -------------------------------------------------------------- */
  if(nin != 1) {
    mexErrMsgTxt("Exactly one argument required.") ;
  }

  if(!vlmxIsMatrix(in[IN_R],-1,-1)) {
    mexErrMsgTxt("R must be a DOUBLE array") ;
  }

  K = mxGetNumberOfElements(in[IN_R]) ;
  if(K % 9 || K < 9) {
    mexErrMsgTxt("The elements of R must be a multiple of 9.") ;
  }
  K /= 9 ;
  R_pt = mxGetPr(in[IN_R]) ;

  /* space for output (OM) */
  out[OUT_OM] = mxCreateDoubleMatrix(3,1,mxREAL) ;
  om_pt = mxGetPr(out[OUT_OM]) ;

  /* space for optional output (dR) */
  dom_pt = NULL ;
  if( nout > 1 ) {
    if( K == 1 ) {
      out[OUT_DOM] = mxCreateDoubleMatrix(3,9,mxREAL) ;
    } else {
      mwSize dims [3] ;
      dims[0] = 3 ; dims[1] = 9 ; dims[2] = K ;
      out[OUT_DOM] = mxCreateNumericArray(3,dims,mxDOUBLE_CLASS,mxREAL) ;
    }
    dom_pt = mxGetPr(out[OUT_DOM]) ;
  }

  /* -----------------------------------------------------------------
  **                                                           Process
  ** -------------------------------------------------------------- */
  for(k = 0 ; k < K ; ++k) {
    vl_irodrigues(om_pt, dom_pt, R_pt) ;
    om_pt  += 3 ;
    dom_pt += 3*9 ;
    R_pt   += 3*3 ;
  }

}
vlfeat-0.9.16/toolbox/geometry/vl_irodr.m000066400000000000000000000015771203326130700204160ustar00rootroot00000000000000% VL_IRODR  Inverse Rodrigues' formula
%   OM = VL_IRODR(R) where R is a rotation matrix computes the the
%   inverse Rodrigues' formula of om, returning the rotation matrix R
%   = dehat(Logm(OM)).
%
%   [OM,DOM] = VL_IRODR(R) computes also the derivative of the Rodrigues'
%   formula. In matrix notation this is the expression
%
%          d( dehat logm(vl_hat(R)) )
%     dom = ----------------------.
%                  d(vec R)^T
%
%   [OM,DOM] = VL_IRODR(R) when R is a 9xK matrix repeats the operation
%   for each column (or equivalently matrix with 9*K elements). In
%   this case OM and DOM are arrays with K slices, one per rotation.
%
%   See also: VL_RODR(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/geometry/vl_rodr.c000066400000000000000000000041341203326130700202230ustar00rootroot00000000000000/* file:        rodr.mex.c
** author:      Andrea Vedaldi
** description: Rodrigues formula
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 
#include 

enum {
  IN_OM = 0
} ;

enum {
  OUT_R=0,
  OUT_DR
} ;

/* -------------------------------------------------------------------
**                                                              Driver
** ---------------------------------------------------------------- */

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  int k,K ;
  double const * om_pt ;
  double* R_pt ;
  double* dR_pt ;

  if(nin != 1) {
    mexErrMsgTxt("Exactly one argument required.") ;
  }

  if(!vlmxIsMatrix(in[IN_OM],-1,-1)) {
    mexErrMsgTxt("OM must be a DOUBLE array") ;
  }

  K = mxGetNumberOfElements(in[IN_OM]) ;
  if(K % 3 || K < 3) {
    mexErrMsgTxt("The number of elements of OM must be a multiple of 3") ;
  }
  K /= 3 ;
  om_pt = mxGetPr(in[IN_OM]) ;

  /* space for output (R) */
  if( K == 1 ) {
    out[OUT_R] = mxCreateDoubleMatrix(3,3,mxREAL) ;
  } else {
    mwSize dims [3] ;
    dims[0] = 3 ; dims[1] = 3 ; dims[2] = K ;
    out[OUT_R] = mxCreateNumericArray(3,dims,mxDOUBLE_CLASS,mxREAL) ;
  }
  R_pt = mxGetPr(out[OUT_R]) ;

  /* space for optional output (dR) */
  dR_pt = NULL ;
  if( nout > 1 ) {
    if( K == 1 ) {
      out[OUT_DR] = mxCreateDoubleMatrix(9,3,mxREAL) ;
    } else {
      mwSize dims [3] ;
      dims[0] = 9 ; dims[1] = 3 ; dims[2] = K ;
      out[OUT_DR] = mxCreateNumericArray(3,dims,mxDOUBLE_CLASS,mxREAL) ;
    }
    dR_pt = mxGetPr(out[OUT_DR]) ;
  }

  /* -----------------------------------------------------------------
  **                                                           Process
  ** -------------------------------------------------------------- */
  for(k = 0 ; k < K ; ++k) {
    vl_rodrigues(R_pt, dR_pt, om_pt) ;
    om_pt += 3 ;
    R_pt  += 3*3 ;
    dR_pt += 9*3 ;
  }
}
vlfeat-0.9.16/toolbox/geometry/vl_rodr.m000066400000000000000000000015471203326130700202420ustar00rootroot00000000000000% VL_RODR  Rodrigues' formula
%   R = VL_RODR(OM) where OM a 3-dimensional column vector computes the
%   Rodrigues' formula of OM, returning the rotation matrix R =
%   expm(vl_hat(OM)).
%
%   [R,DR] = VL_RODR(OM) computes also the derivative of the Rodrigues
%   formula. In matrix notation this is the expression
%
%           d(vec expm(vl_hat(OM)) )
%     dR = ----------------------.
%                  d om^T
%
%   [R,DR]=VL_RODR(OM) when OM is a 3xK matrix repeats the operation for
%   each column (or equivalently matrix with 3*K elements). In this
%   case R and DR are arrays with K slices, one per rotation.
%
%   See also: VL_IRODR(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/imop/000077500000000000000000000000001203326130700155175ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/imop/vl_dwaffine.m000066400000000000000000000013301203326130700201560ustar00rootroot00000000000000function [dWx,dWy] = vl_dwaffine(x,y)
% VL_DWAFFINE  Derivative of an affine warp
%   [DWX,DWY]=VL_DWAFFINE(X,Y) returns the derivative of the 2-D affine
%   warp [WX; WY] = [A T] [X; Y] with respect to the parameters A,T
%   computed at points X,Y.
%
%   See also: VL_WAFFINE(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% dW = [ kron(x',I) I ]
%    |
%    = [ x1  0  x2  0 1 0 ]
%      [  0 x1   0 x2 0 1 ]

z = zeros(length(x(:)),1) ;
o =  ones(length(x(:)),1) ;

dWx = [ x(:) z      y(:) z      o z ] ;
dWy = [ z    x(:)   z    y(:)   z o ] ;
vlfeat-0.9.16/toolbox/imop/vl_imarray.m000066400000000000000000000062711203326130700200500ustar00rootroot00000000000000function J = vl_imarray(A,varargin)
% VL_IMARRAY  Flattens image array
%   J=VL_IMARRAY(A) creates a mosaic J from the array of images A. A
%   can be either a M*N*K array, storing one gray-scale image per
%   slice, or a M*N*3*K or M*N*K*3 array, storing a true color RGB
%   image per slice. The function returns an image J which is a tiling
%   of the images in the array. Tiles are filled from left to right
%   and top to bottom.
%
%   VL_IMARRAY(...) displays the image J rather than returning it.
%
%   VL_IMARRAY() accepts the following options:
%
%   Spacing:: 0
%     Separate the images by a border of the specified width (the
%     border is assigned 0 value, which usually corresponds to black).
%
%   Layout:: empty
%     Specify a vector [TM TN] with the number of rows and columns of
%     the tiling. If equal to [] the layout is computed automatically.
%
%   Movie:: false
%     Display or return a movie instead of generating a tiling.
%
%   CMap:: []
%     Specify a colormap to construct a movie when the input is an
%     indexed image array. If not specified, MATLAB default colormap
%     is used.
%
%   Reverse:: true
%     Start filling the mosaic tiles from the bottom rather than from
%     the top.
%
%   See also:VL_IMARRAYSC(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.reverse = false ;
opts.spacing = 0 ;
opts.layout = [] ;
opts.movie = false ;
opts.cmap = [] ;
opts = vl_argparse(opts, varargin) ;

swap3 = false ;

% retrieve image dimensions
if ndims(A) <= 3
  numChannels = 1 ;
  [height,width,numImages] = size(A) ;
else
  if ndims(A) == 4 && size(A,3) == 3
    [height,width,numChannels,numImages] = size(A) ;
  elseif ndims(A) == 4 && size(A,4) == 3 ;
    swap3 = true ;
    [height,width,numImages,numChannels] = size(A) ;
  else
    error('A is neither M*N*K, nor M*N*3*K, nor M*N*K*3.') ;
  end
end

% compute layout
if isempty(opts.layout)
  N = ceil(sqrt(numImages)) ;
  M = ceil(numImages / N) ;
else
  M = opts.layout(1) ;
  N = opts.layout(2) ;
  numImages = min(numImages, M*N) ;
end

% make storage for composite image
if ~ opts.movie
  cdata = zeros(height * M + opts.spacing * (M-1), ...
                width  * N + opts.spacing * (N-1), ...
                numChannels, ...
                class(A)) ;
end

% add one image per time
for k = 1:numImages

  % retrieve k-th image
  if numChannels == 1
    tmp = A(:,:,k) ;
  else
    if swap3
      tmp = A(:,:,k,:) ;
    else
      tmp = A(:,:,:,k) ;
    end
  end

  if ~ opts.movie
    p = k - 1 ;
    i = floor(p/N) ;
    if opts.reverse
      i = M - 1 - i ;
    end
    j = mod(p,N) ;
    ir = i * (height + opts.spacing) + (1:height) ;
    jr = j * (width  + opts.spacing) + (1:width) ;
    cdata(ir,jr,:) = tmp ;
  else
    if isempty(opts.cmap)
      opts.cmap = get(0, 'DefaultFigureColormap') ;
    end
    MOV(k) = im2frame(tmp, opts.cmap) ;
  end
end

if ~ opts.movie
  if nargout == 0
    image(cdata) ;
    colormap(opts.cmap) ;
    return ;
  else
    J = cdata ;
  end
else
  if nargout == 0
    movie(MOV) ;
    return ;
  else
    J = MOV ;
  end
end
vlfeat-0.9.16/toolbox/imop/vl_imarraysc.m000066400000000000000000000057011203326130700203730ustar00rootroot00000000000000function J = vl_imarraysc(A, varargin)
% VL_IMARRAYSC  Scale and flattens image array
%   J=VL_IMARRAYSC(A) constructs an image mosaic similar to
%   J=VL_IMARRAY(A), but it rescales the range of each image in the
%   array. If A is an array of grayscale images, J will index all the
%   colors in the current colormap; if A is a true color image, J will
%   span the range [0,1].
%
%   If A is of an integer class, J will be of class single SINGLE class.
%
%   VL_IMARRAYSC(...) displays the image J rather than returning it.
%
%   VL_IMARRAYSC() accepts the options of VL_IMARRAY() and:
%
%   CLim:: []
%     Rescale the specified range of values rather than the actual
%     range of each image.
%
%   Uniform:: [false]
%     Rescale the range of all the images together, rather than on
%     an image-by-image basis.
%
%   CMap:: []
%     Use the specified color map as a reference rather than the
%     current or default one.
%
%   Algorithm::
%     CLim is seet to the image range [m, M], where m is the minimum
%     value of an image and M is the maximum. The image range CLim is
%     then affinely mapped to the integers from 1 to C, where C is the
%     number of colors in the colormap, or to the range [0,1] for true
%     color images. The mapping is done so that the first color is
%     assigned the first subinterval of length C of the range [m,M]
%     and so on.
%
%   See also: VL_IMARRAY(), VL_HELP(), IMAGE().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.clim = [] ;
opts.cmap = colormap ;
opts.uniform = false ;
[opts, varargin] = vl_argparse(opts, varargin) ;

numDimensions = ndims(A)  ;
if numDimensions <= 3
  numChannels = 1 ;
  numImages = size(A,3) ;
  numLevels = size(opts.cmap,1) ;
elseif numDimensions == 4
  numChannels = size(A,3) ;
  numImages = size(A,4) ;
  numLevels = 1 ;
  if numChannels ~= 3
    error('A has more than three dimensions and the third one is not equal to three.') ;
  end
else
  error('A has neither 2, 3 or 4 dimensions.') ;
end

if opts.uniform & ~isempty(opts.clim)
  error('UNIFORM cannot be used in combination with CLIM.') ;
end

if isinteger(A)
  A = single(A) ;
end

if opts.uniform && numDimensions < 4
  opts.clim = [min(A(:)) max(A(:))] ;
end

for k = 1:numImages
  if isempty(opts.clim)
    if numChannels == 1
      tmp = A(:,:,k) ;
    else
      tmp = A(:,:,:,k) ;
    end
    dataMin = min(tmp(:)) ;
    dataMax = max(tmp(:)) ;
  else
    dataMin = opts.clim(1) ;
    dataMax = opts.clim(2) ;
  end
  a = numLevels  / (dataMax - dataMin + eps) ;
  b = - dataMin * a ;
  if numChannels == 1
    A(:,:,k) = max(min(floor(a * A(:,:,k) + b + 1),numLevels),1) ;
  else
    A(:,:,:,k) = max(min(a * A(:,:,:,k) + b,numLevels),0) ;
  end
end

if nargout == 0
  vl_imarray(A,varargin{:}, 'cmap', opts.cmap) ;
else
  J = vl_imarray(A,varargin{:}, 'cmap', opts.cmap) ;
end
vlfeat-0.9.16/toolbox/imop/vl_imdisttf.c000066400000000000000000000076501203326130700202170ustar00rootroot00000000000000/** @internal
 ** @file    vl_imdisttf.c
 ** @brief   vl_imdisttf - MEX definition
 ** @author  Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 
#include 
#include 

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  vl_size M, N ;
  enum {IN_I = 0, IN_PARAM, IN_END} ;
  enum {OUT_DT = 0, OUT_INDEXES} ;
  vl_uindex * indexes = NULL ;
  mxClassID classId ;
  double const defaultParam [] = {1.0, 0.0, 1.0, 0.0} ;
  double const * param = defaultParam ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nin > 2) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }
  if (nout > 2) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }
  classId = mxGetClassID(IN(I)) ;
  if (! vlmxIsMatrix(IN(I), -1, -1) ||
      (classId != mxSINGLE_CLASS && classId != mxDOUBLE_CLASS)) {
    vlmxError(vlmxErrInvalidArgument,
             "I is not a SINGLE or DOUBLE matrix.") ;
  }
  if (nin == 2) {
    if (! vlmxIsPlainVector(IN(PARAM), 4)) {
      vlmxError(vlmxErrInvalidArgument,
               "PARAM is not a 4-dimensional vector.") ;
    }
    param = mxGetPr (IN(PARAM)) ;
    if (param[0] < 0.0 ||
        param[2] < 0.0) {
      vlmxError(vlmxErrInvalidArgument,
                "Either PARAM[0] or PARAM[2] is negative.") ;
    }
  }

  M = mxGetM (IN(I)) ;
  N = mxGetN (IN(I)) ;

  OUT(DT) = mxCreateNumericMatrix (M, N, classId, mxREAL) ;
  if (nout > 1) {
    vl_uindex i ;
    OUT(INDEXES) = mxCreateDoubleMatrix (M, N, mxREAL) ;
    indexes = mxMalloc(sizeof(vl_uindex) * M * N) ;
    for (i = 0 ; i < M * N ; ++i) indexes[i] = i + 1 ;
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

  switch (classId) {
    case mxSINGLE_CLASS:
      vl_image_distance_transform_f((float const*)mxGetData(IN(I)),
                                    M, N,
                                    1, M,
                                    (float*)mxGetPr(OUT(DT)),
                                    indexes,
                                    param[2],
                                    param[3]) ;

      vl_image_distance_transform_f((float*)mxGetPr(OUT(DT)),
                                    N, M,
                                    M, 1,
                                    (float*)mxGetPr(OUT(DT)),
                                    indexes,
                                    param[0],
                                    param[1]) ;
      break ;

    case mxDOUBLE_CLASS:
      vl_image_distance_transform_d((double const*)mxGetData(IN(I)),
                                    M, N,
                                    1, M,
                                    (double*)mxGetPr(OUT(DT)),
                                    indexes,
                                    param[2],
                                    param[3]) ;

      vl_image_distance_transform_d((double*)mxGetPr(OUT(DT)),
                                    N, M,
                                    M, 1,
                                    (double*)mxGetPr(OUT(DT)),
                                    indexes,
                                    param[0],
                                    param[1]) ;
      break;

    default:
      abort() ;
  }

  if (indexes) {
    vl_uindex i ;
    double * pt = mxGetPr(OUT(INDEXES)) ;
    for (i = 0 ; i < M * N ; ++i) pt[i] = indexes[i] ;
    mxFree(indexes) ;
  }
}
vlfeat-0.9.16/toolbox/imop/vl_imdisttf.m000066400000000000000000000021141203326130700202170ustar00rootroot00000000000000% VL_IMDISTTF  Image distance transform
%   DT = VL_IMDISTTF(I) computes the distance transform of image I.
%   The distance transform is defined as
%
%       DT(x,y) = min_{u,v} I(u,v) + (u - x)^2 + (v - y)^2.
%
%   [D, INDEXES] = VL_IMDISTTF(...) returns a matrix INDEXES that
%   contains for each pixel (x,y) the index of the pixel (u,v) which
%   is the minimizer of the distance transform objective.
%
%   VL_IMDSITTF(I, PARAM) uses differenet parameters for the
%   transform:
%
%      DT(u,v) = min_{u,v} I(u,v) + PARAM(1) (u - x - PARAM(2))^2
%                                 + PARAM(3) (v - y - PARAM(4))^2
%
%   The function uses the fast algorithm from [1].
%
%   REFERENCES::
%     [1] P. F. Felzenszwalb and D. P. Huttenlocher. Distance transforms
%     of sampled functions. Technical report, Cornell University, 2004.
%
%   See also: VL_HELP().

% Author:: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/imop/vl_imdown.m000066400000000000000000000021171203326130700176740ustar00rootroot00000000000000function J = vl_imdown(I, varargin)
% VL_IMDOWN  Downsample an image by two
%   J = VL_IMDOWN(I) downsamples the image I by half by discarding
%   each other pixel.
%
%   VL_IMDOWN() accepts the following options:
%
%   Method:: Sample
%     'Sample' downsamples the image by discarding
%     pixels. 'Average' instead averages groups of 2x2 pixels.
%
%   See also: VL_IMUP(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.method = 'sample' ;
opts = vl_argparse(opts, varargin) ;

switch lower(opts.method)
  case 'sample'
    J = I(1:2:floor(end-.5),1:2:floor(end-.5),:) ;

  case 'average'
    Iclass = class(I);
    I = double(I);
    J = ...
        I(1:2:end-1,1:2:end-1,:) + ...
        I(2:2:end,1:2:end-1,:) + ...
        I(1:2:end-1,2:2:end,:) + ...
        I(2:2:end,2:2:end,:) ;
    J = J / 4 ;
    eval(sprintf('J=%s(J);', Iclass));

  otherwise
    error('Unknown downsampling method ''%s''.', method) ;
end
vlfeat-0.9.16/toolbox/imop/vl_imgrad.m000066400000000000000000000030431203326130700176410ustar00rootroot00000000000000function [Fx,Fy] = vl_imgrad(F,varargin) ;
% VL_IMGRAD  Image gradient
%   [Fx,Fy] = VL_GRAD(F) returns the finite differencies gradient of the
%   image F. The function uses central differencies and for all but
%   the boundaries pixels, for which it uses forward/backward
%   differencies as appropriate.
%
%   VL_GRAD(F,'forward') uses only forward differencies (except on the
%   lower and right boundaries, where backward difference is used).
%   Similarly, VL_GRAD(F,'backward') uses only backward differencies.
%
%   See also: GRADIENT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

type = 'central' ; % forward, backward

for k=1:2:length(varargin)
  switch varargin{k}
    case 'Type'
      type = varargin{k+1} ;
    otherwise
      error(['Parameter ''', varargin{k}, ''' unknown']) ;
  end
end


[M,N]=size( F ) ;

switch type
  case 'central'
    Fx = [ F(:,2)-F(:,1) , ...
           0.5*(F(:,3:end)-F(:,1:end-2)) , F(:,end)-F(:,end-1) ] ;
    Fy = [ F(2,:)-F(1,:) ; ...
           0.5*(F(3:end,:)-F(1:end-2,:)) ; F(end,:)-F(end-1,:) ] ;

  case 'forward'
    Fx = [ F(:,2:end)-F(:,1:end-1) , F(:,end)-F(:,end-1) ] ;
    Fy = [ F(2:end,:)-F(1:end-1,:) ; F(end,:)-F(end-1,:) ] ;

  case 'backward'
    Fx = [ F(:,2)-F(:,1) , F(:,2:end)-F(:,1:end-1)] ;
    Fy = [ F(2,:)-F(1,:) ; F(2:end,:)-F(1:end-1,:)] ;

  otherwise
    error(['Difference type ''', type, ''' unknown']) ;
end
vlfeat-0.9.16/toolbox/imop/vl_imintegral.c000066400000000000000000000054121203326130700205210ustar00rootroot00000000000000/** @internal
 ** @file    imintegral.c
 ** @author  Brian Fulkerson
 ** @brief   Create an integral image - MEX definition
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 
#include 

#include 
#include 
#include 

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  vl_size numDimensions, numChannels ;
  mwSize const *dimensions ;
  mxClassID classId ;
  void * integral ;
  void const * image ;
  vl_uindex k ;
  enum {IN_I=0} ;
  enum {OUT_J=0} ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin > 1) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }
  if (nin < 1) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  if (! mxIsNumeric(IN(I))) {
    vlmxError(vlmxErrInvalidArgument,
              "I is not numeric.") ;
  }

  dimensions = mxGetDimensions(IN(I)) ;
  numDimensions = mxGetNumberOfDimensions(IN(I)) ;
  if (numDimensions > 3) {
    vlmxError(vlmxErrInvalidArgument,
              "I has more than 3 dimensions (%d).", numDimensions) ;
  }
  if (numDimensions > 2) {
    numChannels = dimensions [2] ;
  } else {
    numChannels = 1 ;
  }

  classId = mxGetClassID(IN(I)) ;
  if (classId != mxSINGLE_CLASS &&
      classId != mxDOUBLE_CLASS &&
      classId != mxUINT32_CLASS &&
      classId != mxINT32_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
              "I is not of a supported storage class.") ;
  }

  OUT(J) = mxCreateNumericArray(numDimensions, dimensions,
                                classId, mxREAL) ;

  image = mxGetData(IN(I)) ;
  integral = mxGetData(OUT(J)) ;

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

#define DO(CLASS, T, SFX) \
case mx ## CLASS ## _CLASS : \
vl_imintegral_ ## SFX (integral, dimensions[0], \
  image, dimensions[0], dimensions[1], dimensions[0]) ; \
  integral = ((T *) integral) + dimensions[0]*dimensions[1] ; \
  image = ((T const *) image) + dimensions[0]*dimensions[1] ; \
break

  for (k = 0 ; k < numChannels ; ++k) {
    switch (classId) {
        DO(SINGLE, float, f) ;
        DO(DOUBLE, double, d) ;
        DO(UINT32, vl_uint32, ui32) ;
        DO(INT32, vl_int32, i32) ;
      default:
        abort() ;
    }
  }
}
vlfeat-0.9.16/toolbox/imop/vl_imintegral.m000066400000000000000000000013141203326130700205300ustar00rootroot00000000000000% VL_IMINTEGRAL  Compute integral image
%   J = VL_IMINTEGRAL(I) calculates the integral image J of the image
%   I.  I must a matrix with DOUBLE, SINGLE, UINT32, or INT32 storage
%   class. J is given by
%
%    J(i,j) = sum(I(1:i,1:j)).
%
%   J has the same size as I and the same storage class.
%
%   Example::
%     The following identity holds:
%       VL_IMINTEGRAL(ONES(3)) = [ 1 2 3 ;
%                                  2 4 6 ;
%                                  3 6 9 ]
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/imop/vl_impattern.m000066400000000000000000000150561203326130700204100ustar00rootroot00000000000000function im = vl_impattern(varargin)
% VL_IMPATTERN Generate an image from a stock pattern
%   IM=VLPATTERN(NAME) returns an instance of the specified
%   pattern. These stock patterns are useful for testing algoirthms.
%
%   All generated patterns are returned as an image of class
%   DOUBLE. Both gray-scale and colour images have range in [0,1].
%
%   VL_IMPATTERN() without arguments shows a gallery of the stock
%   patterns. The following patterns are supported:
%
%   Wedge::
%     The image of a wedge.
%
%   Cone::
%     The image of a cone.
%
%   SmoothChecker::
%     A checkerboard with Gaussian filtering on top. Use the
%     option-value pair 'sigma', SIGMA to specify the standard
%     deviation of the smoothing and the pair 'step', STEP to specfity
%     the checker size in pixels.
%
%   ThreeDotsSquare::
%     A pattern with three small dots and two squares.
%
%   UniformNoise::
%     Random i.i.d. noise.
%
%   Blobs:
%     Gaussian blobs of various sizes and anisotropies.
%
%   Blobs1:
%     Gaussian blobs of various orientations and anisotropies.
%
%   Blob:
%     One Gaussian blob. Use the option-value pairs 'sigma',
%     'orientation', and 'anisotropy' to specify the respective
%     parameters. 'sigma' is the scalar standard deviation of an
%     isotropic blob (the image domain is the rectangle
%     [-1,1]^2). 'orientation' is the clockwise rotation (as the Y
%     axis points downards). 'anisotropy' (>= 1) is the ratio of the
%     the largest over the smallest axis of the blob (the smallest
%     axis length is set by 'sigma'). Set 'cut' to TRUE to cut half
%     half of the blob.
%
%   A stock image::
%     Any of 'box', 'roofs1', 'roofs2', 'river1', 'river2', 'spotted'.
%
%   All pattern accept a SIZE parameter [WIDTH,HEIGHT]. For all but
%   the stock images, the default size is [128,128].

% Author: Andrea Vedaldi

% AUTORIGHTS

if nargin > 0
  pattern=varargin{1} ;
  varargin=varargin(2:end) ;
else
  pattern = 'gallery' ;
end

patterns = {'wedge','cone','smoothChecker','threeDotsSquare', ...
            'blob', 'blobs', 'blobs1', ...
            'box', 'roofs1', 'roofs2', 'river1', 'river2'} ;

% spooling
switch lower(pattern)
  case 'wedge', im = wedge(varargin) ;
  case 'cone', im = cone(varargin) ;
  case 'smoothchecker', im = smoothChecker(varargin) ;
  case 'threedotssquare', im = threeDotSquare(varargin) ;
  case 'uniformnoise', im = uniformNoise(varargin) ;
  case 'blob', im = blob(varargin) ;
  case 'blobs', im = blobs(varargin) ;
  case 'blobs1', im = blobs1(varargin) ;
  case {'box','roofs1','roofs2','river1','river2','spots'}
    im = stockImage(pattern, varargin) ;
  case 'gallery'
    clf ;
    num = numel(patterns) ;
    for p = 1:num
      vl_tightsubplot(num,p,'box','outer') ;
      imagesc(vl_impattern(patterns{p}),[0 1]) ;
      axis image off ;
      title(patterns{p}) ;
    end
    colormap gray ;
    return ;
  otherwise
    error('Unknown patter ''%s''.', pattern) ;
end

if nargout == 0
  clf ; imagesc(im) ; hold on ;
  colormap gray ; axis image off ;
  title(pattern) ;
  clear im ;
end

function [u,v,opts,args] = commonOpts(args)
opts.size = [128 128] ;
[opts,args] = vl_argparse(opts, args) ;
ur = linspace(-1,1,opts.size(2)) ;
vr = linspace(-1,1,opts.size(1)) ;
[u,v] = meshgrid(ur,vr);

function im = wedge(args)
[u,v,opts,args] = commonOpts(args) ;
im = abs(u) + abs(v) > (1/4) ;
im(v < 0) = 0 ;

function im = cone(args)
[u,v,opts,args] = commonOpts(args) ;
im = sqrt(u.^2+v.^2) ;
im = im / max(im(:)) ;

function im = smoothChecker(args)
opts.size = [128 128] ;
opts.step = 16 ;
opts.sigma = 2 ;
opts = vl_argparse(opts, args) ;
[u,v] = meshgrid(0:opts.size(1)-1, 0:opts.size(2)-1) ;
im = xor((mod(u,opts.step*2) < opts.step),...
         (mod(v,opts.step*2) < opts.step)) ;
im = double(im) ;
im = vl_imsmooth(im, opts.sigma) ;

function im = threeDotSquare(args)
[u,v,opts,args] = commonOpts(args) ;
im = ones(size(u)) ;
im(-2/3 0) ;
end

function im = blobs1(args)
[u,v,opts,args] = commonOpts(args) ;
opts.number = 5 ;
opts.sigma = [] ;
opts = vl_argparse(opts, args) ;
im = zeros(size(u)) ;
square = 2 / opts.number ;
num = opts.number ;
if isempty(opts.sigma)
  sigma = 1/6 * square ;
else
  sigma = opts.sigma * square ;
end
rotations = linspace(0,pi,num+1) ;
rotations(end) = [] ;
skews = linspace(1,2,num) ;
for i=1:num
  for j=1:num
    cy = (i-1) * square + square/2 - 1;
    cx = (j-1) * square + square/2 - 1;
    th = rotations(i) ;
    R = [cos(th) -sin(th); sin(th) cos(th)] ;
    A = sigma * R * diag([1 1/skews(j)]) ;
    C = inv(A*A') ;
    x = u - cx ;
    y = v - cy ;
    im = im + exp(-0.5 *(x.*x*C(1,1) + y.*y*C(2,2) + 2*x.*y*C(1,2))) ;
  end
end
im = im / max(im(:)) ;

function im = uniformNoise(args)
opts.size = [128 128] ;
opts.seed = 1 ;
opts = vl_argparse(opts, args) ;
state = vl_twister('state') ;
vl_twister('state',opts.seed) ;
im = vl_twister(opts.size([2 1])) ;
vl_twister('state',state) ;

function im = stockImage(pattern,args)
opts.size = [] ;
opts = vl_argparse(opts, args) ;
switch pattern
  case 'river1',  path='river1.jpg' ;
  case 'river2',  path='river2.jpg' ;
  case 'roofs1',  path='roofs1.jpg' ;
  case 'roofs2',  path='roofs2.jpg' ;
  case 'box',     path='box.pgm' ;
  case 'spots',   path='spots.jpg' ;
end
im = imread(fullfile(vl_root,'data',path)) ;
im = im2double(im) ;
if ~isempty(opts.size)
  im = imresize(im, opts.size) ;
  im = max(im,0) ;
  im = min(im,1) ;
end
vlfeat-0.9.16/toolbox/imop/vl_imreadbw.m000066400000000000000000000012121203326130700201640ustar00rootroot00000000000000function I = vl_imreadgray(file,varargin)
% VL_IMREADGRAY  Reads an image as gray-scale
%   I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
%   result to a gray scale image (DOUBLE storage class ranging in
%   [0,1]).
%
%   VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).
%
%   See also: RGB2DOUBLE(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

I = imread(file) ;
I = im2double(I) ;

if(size(I,3) > 1)
  I = rgb2gray(I) ;
end
vlfeat-0.9.16/toolbox/imop/vl_imreadgray.m000066400000000000000000000012121203326130700205160ustar00rootroot00000000000000function I = vl_imreadgray(file,varargin)
% VL_IMREADGRAY  Reads an image as gray-scale
%   I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
%   result to a gray scale image (DOUBLE storage class ranging in
%   [0,1]).
%
%   VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).
%
%   See also: RGB2DOUBLE(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

I = imread(file) ;
I = im2double(I) ;

if(size(I,3) > 1)
  I = rgb2gray(I) ;
end
vlfeat-0.9.16/toolbox/imop/vl_imsc.m000066400000000000000000000007241203326130700173340ustar00rootroot00000000000000function J=vl_imsc(I)
% VL_IMSC  Scale image
%   J=VL_IMSC(I) scales the range of the gray-scale or color image I to
%   fit in the interval [0,1].
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if ~isfloat(I)
  I = im2double(I) ;
end

J = I - min(I(:)) ;
J = J / max(J(:)) ;
vlfeat-0.9.16/toolbox/imop/vl_imsmooth.c000066400000000000000000000232111203326130700202220ustar00rootroot00000000000000/** @internal
 ** @file   imsmooth.c
 ** @author Andrea Vedaldi
 ** @brief  Smooth an image - MEX definition
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifdef VL_IMSMOOTH_INSTANTIATING

#include 
#include 

#if (FLT == VL_TYPE_FLOAT)
#define IMCONVCOL    vl_imconvcol_vf
#define IMCONVCOLTRI vl_imconvcoltri_f
#else
#define IMCONVCOL    vl_imconvcol_vd
#define IMCONVCOLTRI vl_imconvcoltri_d
#endif

VL_INLINE void
VL_XCAT(_vl_imsmooth_smooth_, SFX)
(T * outputImage,
 vl_size numOutputRows,
 vl_size numOutputColumns,
 T const * inputImage,
 vl_size numRows,
 vl_size numColumns,
 vl_size numChannels,
 int kernel,
 double sigma,
 int step,
 int flags)
{
  T * tempImage = (T*) mxMalloc (sizeof(T) * numRows * numOutputColumns) ;
  vl_uindex k ;
  vl_index j ;

  /* Note that MATLAB uses a column major ordering, while VLFeat a row
     major (standard) ordering for the image data. Effectively, VLFeat
     is operating on a transposed image, but this is fine since filters
     are symmetric.

     Therefore:

     input image width  = numRows
     input image height = numColumns
     output image width = numOutputRows (downsamped rows)
     outout image height = numOutputColumns (downsampled columns)

     In addition a temporary buffer is used. This is an image that
     is obtained from the input image by convolving and downsampling
     along the height and saving the result transposed:

     temp image width  = numOutputColumns
     temp image height = numRows
  */

  switch (kernel) {
    case GAUSSIAN :
    {
      vl_size W = ceil (4.0 * sigma) ;
      T * filter = (T*) mxMalloc (sizeof(T) * (2 * W + 1)) ;
      T acc = 0 ;
      for (j = 0 ; j < (signed)(2 * W + 1) ; ++j) {
        T z = ( (T) j - W) / (sigma + VL_EPSILON_F) ;
        filter[j] = exp(- 0.5 * (z*z)) ;
        acc += filter[j] ;
      }
      for (j = 0 ; j < (signed)(2 * W + 1) ; ++j) {
        filter[j] /= acc ;
      }

      for (k = 0 ; k < numChannels ; ++k) {

        IMCONVCOL (tempImage, numOutputColumns,
                   inputImage, numRows, numColumns, numRows,
                   filter, -W, W, step, flags) ;

        IMCONVCOL (outputImage, numOutputRows,
                   tempImage, numOutputColumns, numRows, numOutputColumns,
                   filter, -W, W, step, flags) ;

        inputImage += numRows * numColumns ;
        outputImage += numOutputRows * numOutputColumns ;
      }
      mxFree (filter) ;
      break ;
    }

    case TRIANGULAR:
    {
      unsigned int W = VL_MAX((unsigned int) sigma, 1) ;
      for (k = 0 ; k < numChannels ; ++k) {

       IMCONVCOLTRI (tempImage, numOutputColumns,
                     inputImage, numRows, numColumns, numRows,
                     W, step, flags) ;

       IMCONVCOLTRI (outputImage, numOutputRows,
                     tempImage, numOutputColumns, numRows, numOutputColumns,
                     W, step, flags) ;

        inputImage += numRows * numColumns ;
        outputImage += numOutputRows * numOutputColumns ;
      }
      break ;
    }

    default:
      abort() ;
  }
  mxFree (tempImage) ;
}

#undef FLT
#undef IMCONVCOLTRI
#undef IMCONVCOL
#undef VL_IMSMOOTH_INSTANTIATING

/* ---------------------------------------------------------------- */
/* VL_IMSMOOTH_INSTANTIATING */
#else

#include 

#include 
#include 
#include 

#include 
#include 
#include 

/* option codes */
enum {
  opt_padding = 0,
  opt_subsample,
  opt_kernel,
  opt_verbose
} ;

/* options */
vlmxOption  options [] = {
{"Padding",      1,   opt_padding       },
{"Verbose",      0,   opt_verbose       },
{"Subsample",    1,   opt_subsample     },
{"Kernel",       1,   opt_kernel        },
{0,              0,   0                 }
} ;

enum {GAUSSIAN, TRIANGULAR} ;


#define VL_IMSMOOTH_INSTANTIATING
#define FLT VL_TYPE_FLOAT
#include "vl_imsmooth.c"

#define VL_IMSMOOTH_INSTANTIATING
#define FLT VL_TYPE_DOUBLE
#include "vl_imsmooth.c"

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_I = 0, IN_S, IN_END} ;
  enum {OUT_J = 0} ;
  int opt ;
  int next = IN_END ;
  mxArray const  *optarg ;

  int padding = VL_PAD_BY_CONTINUITY ;
  int kernel = GAUSSIAN ;
  int flags ;
  vl_size step = 1 ;
  int verb = 0 ;
  double sigma ;
  mxClassID classid ;

  mwSize M, N, K, M_, N_, ndims ;
  mwSize dims_ [3] ;
  mwSize const * dims ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 2) {
    mexErrMsgTxt("At least two input arguments required.");
  } else if (nout > 1) {
    mexErrMsgTxt("Too many output arguments.");
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
      case opt_padding :
      {
        enum {buflen = 32} ;
        char buf [buflen] ;
        if (!vlmxIsString(optarg, -1)) {
          vlmxError(vlmxErrInvalidArgument,
                   "PADDING argument must be a string.") ;
        }
        mxGetString(optarg, buf, buflen) ;
        buf [buflen - 1] = 0 ;
        if (vlmxCompareStringsI("zero", buf) == 0) {
          padding = VL_PAD_BY_ZERO ;
        } else if (vlmxCompareStringsI("continuity", buf) == 0) {
          padding = VL_PAD_BY_CONTINUITY ;
        } else {
          vlmxError(vlmxErrInvalidArgument,
                   "PADDING must be either ZERO or CONTINUITY, was '%s'.",
                   buf) ;
        }
        break ;
      }

      case opt_subsample :
        if (!vlmxIsPlainScalar(optarg)) {
          vlmxError(vlmxErrInvalidArgument,
                   "SUBSAMPLE must be a scalar.") ;
        }
        step = *mxGetPr(optarg) ;
        if (step < 1) {
          vlmxError(vlmxErrInvalidArgument,
                   "SUBSAMPLE must be not less than one.") ;
        }
        break ;

      case opt_kernel :
      {
        enum {buflen = 32} ;
        char buf [buflen] ;
        if (!vlmxIsString(optarg, -1)) {
          vlmxError(vlmxErrInvalidArgument,
                   "KERNEL argument must be a string.") ;
        }
        mxGetString(optarg, buf, buflen) ;
        buf [buflen - 1] = 0 ;
        if (vlmxCompareStringsI("gaussian", buf) == 0) {
          kernel = GAUSSIAN ;
        } else if (vlmxCompareStringsI("triangular", buf) == 0) {
          kernel = TRIANGULAR ;
        } else {
          vlmxError(vlmxErrInvalidArgument,
                   "Unknown kernel type '%s'.",
                   buf) ;
        }
        break ;
      }

      case opt_verbose :
        ++ verb ;
        break ;

      default:
        abort() ;
    }
  }

  if (! vlmxIsPlainScalar(IN(S))) {
    vlmxError(vlmxErrInvalidArgument,
             "S must be a real scalar.") ;
  }

  classid = mxGetClassID(IN(I)) ;

  if (classid != mxDOUBLE_CLASS &&
      classid != mxSINGLE_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
             "I must be either DOUBLE or SINGLE.") ;
  }
  if (mxGetNumberOfDimensions(IN(I)) > 3) {
    vlmxError(vlmxErrInvalidArgument,
             "I must be either a two or three dimensional array.") ;
  }

  ndims = mxGetNumberOfDimensions(IN(I)) ;
  dims = mxGetDimensions(IN(I)) ;
  M = dims[0] ;
  N = dims[1] ;
  K = (ndims > 2) ? dims[2] : 1 ;

  sigma = * mxGetPr(IN(S)) ;
  if ((sigma < 0.01) && (step == 1)) {
    OUT(J) = mxDuplicateArray(IN(I)) ;
    return ;
  }

  M_ = (M - 1) / step + 1 ;
  N_ = (N - 1) / step + 1 ;
  dims_ [0] = M_ ;
  dims_ [1] = N_ ;
  if (ndims > 2) dims_ [2] = K ;

  OUT(J) = mxCreateNumericArray(ndims, dims_, classid, mxREAL) ;

  if (verb) {
    char const *classid_str = 0, *kernel_str = 0, *padding_str = 0 ;
    switch (padding) {
      case VL_PAD_BY_ZERO       : padding_str = "with zeroes" ; break ;
      case VL_PAD_BY_CONTINUITY : padding_str = "by continuity" ; break ;
      default: abort() ;
    }
    switch (classid) {
      case mxDOUBLE_CLASS: classid_str = "DOUBLE" ; break ;
      case mxSINGLE_CLASS: classid_str = "SINGLE" ; break ;
      default: abort() ;
    }
    switch (kernel) {
      case GAUSSIAN:   kernel_str = "Gaussian" ; break ;
      case TRIANGULAR: kernel_str = "triangular" ; break ;
      default: abort() ;
    }

    mexPrintf("vl_imsmooth: [%dx%dx%d] -> [%dx%dx%d] (%s, subsampling step %d)\n",
              N, M, K, N_, M_, K, classid_str, step) ;
    mexPrintf("vl_imsmooth: padding: %s\n", padding_str) ;
    mexPrintf("vl_imsmooth: kernel: %s\n", kernel_str) ;
    mexPrintf("vl_imsmooth: sigma: %g\n", sigma) ;
    mexPrintf("vl_imsmooth: SIMD enabled: %s\n",
              vl_get_simd_enabled() ? "yes" : "no") ;
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */
  flags  = padding ;
  flags |= VL_TRANSPOSE ;

  switch (classid) {
    case mxSINGLE_CLASS:
      _vl_imsmooth_smooth_f ((float*) mxGetPr(OUT(J)),
                             M_, N_,
                             (float const*) mxGetPr(IN(I)),
                             M, N, K,
                             kernel, sigma, step, flags) ;
      break ;

    case mxDOUBLE_CLASS:
      _vl_imsmooth_smooth_d ((double*) mxGetPr(OUT(J)),
                             M_, N_,
                             (double const*) mxGetPr(IN(I)),
                             M, N, K,
                             kernel, sigma, step, flags) ;
      break ;

    default:
      abort() ;
  }
}

/* VL_IMSMOOTH_INSTANTIATING */
#endif
vlfeat-0.9.16/toolbox/imop/vl_imsmooth.m000066400000000000000000000022771203326130700202450ustar00rootroot00000000000000% VL_IMSMOOTH  Smooth image
%   J = VL_IMSMOOTH(I,SIGMA) convolves the image I by an isotropic
%   Gaussian kernel of standard deviation SIGMA.  I must be an array
%   of doubles. IF the array is three dimensional, the third dimension
%   is assumed to span different channels (e.g. R,G,B). In this case,
%   each channel is convolved independently.
%
%   VL_IMSMOOTH() accepts the following options:
%
%   Kernel::
%     Selects between GAUSSIAN and TRIANGULAR kernels. The triangular
%     kernel support has 2*SIGMA-1 sampels. Kernels have unit mass.
%
%   Padding::
%     Selects between ZERO or CONTINUITY padding method to handle the
%     image boundaries. ZERO extends the input image with zeroes
%     around the border, and CONTINUITY extends the image with
%     constant pixels.
%
%   Step::
%     Sets the subsampling step. A subsampling step of STEP pixels
%     causes J(1:STEPS:end, 1:STEPS:end, :) to be computed. This is
%     useful to downsample the image.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/imop/vl_imup.m000066400000000000000000000014221203326130700173470ustar00rootroot00000000000000function J = vl_imup(I)
% VL_IMUP Upsample an image by two
%   J=VL_IMUP(I) doubles the resolution of the image I by using
%   bilinear interpolation.
%
%   See also: VL_IMDOWN(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[M,N,K] = size(I) ;

J = zeros(2*M,2*N,K) ;

J(1:2:end,1:2:end,:) = I ;

J(2:2:end,1:2:end,:) = 0.5*(I+[I(2:end,:,:);I(end,:,:)]) ;
J(1:2:end,2:2:end,:) = 0.5*(I+[I(:,2:end,:),I(:,end,:)]) ;
J(2:2:end,2:2:end,:) = ...
  0.25*(...
  J(2:2:end,1:2:end-1,:)+...
  J(1:2:end-1,2:2:end,:)+...
  [J(2:2:end,3:2:end,:),J(2:2:end,end-1,:)]+...
  [J(3:2:end,2:2:end,:);J(end-1,2:2:end,:)]) ;
vlfeat-0.9.16/toolbox/imop/vl_imwbackward.m000066400000000000000000000034761203326130700207030ustar00rootroot00000000000000function [wI,wIx,wIy] = vl_imwbackward(varargin)
% VL_IMWBACKWARD  Image backward warping
%   J = VL_IMWBACKWARD(I, X, Y) returns the values of image I at
%   locations X,Y. X and Y are real matrices of arbitrary but
%   identical dimensions. I is bilinearly interpolated between samples
%   and extended with NaNs to the whole real plane.
%
%   [J,JX,JY] = VL_IMWBACKWARD(...) returns the warped derivatives JX and
%   JY too.
%
%   By default, VL_IMWBACKWARD() assumes that the image I uses the standard
%   coordinate system. VL_IMWBACKWARD(XR,YR,I,X,Y) assumes instead that I
%   is defined on a rectangular grid specified by the vectors XR and
%   YR.
%
%   VL_IMWBACKWARD() is less general than the MATLAB native function
%   INTERP2(), but it is significantly faster.
%
%   See also: IMWFORWARD(), INTERP2(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin < 5
  I = varargin{1} ;
  [M,N,K] = size(I) ;
  xr = 1:N ;
  yr = 1:M ;
  varargin = { varargin{2:end} } ;
else
  xr = varargin{1} ;
  yr = varargin{2} ;
  I  = varargin{3} ;
  [M,N,K] = size(I) ;
  varargin = { varargin{4:end} } ;
end

if K == 1
	if nargout == 1
		wI = vl_imwbackwardmx(xr, yr, I, varargin{:}) ;
	else
		[wI,wIx,wIy] = vl_imwbackwardmx(xr, yr, I, varargin{:}) ;
	end
else
  [M,N] = size(varargin{1}) ;
	if nargout == 1
		wI = zeros(M,N,K) ;
		for k=1:K
			wI(:,:,k) = vl_imwbackwardmx(xr, yr, squeeze(I(:,:,k)),  varargin{:}) ;
		end
	else
		wI  = zeros(M,N,K) ;
		wIx = zeros(M,N,K) ;
		wIy = zeros(M,N,K) ;
		for k=1:K
			[tmp1, tmp2, tmp3] = vl_imwbackwardmx(xr, yr, squeeze(I(:,:,k)),  varargin{:}) ;
			wI(:,:,k)  = tmp1;
			wIx(:,:,k) = tmp2;
			wIy(:,:,k) = tmp3 ;
		end
	end
end
vlfeat-0.9.16/toolbox/imop/vl_imwbackwardmx.c000066400000000000000000000136571203326130700212400ustar00rootroot00000000000000/* file:        imwbackward.c
** author:      Andrea Vedaldi
** description: Backward projection of an image.
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/* TODO.
 * - Make a faster version for the uniform grid case.
 * - Rename variables.
 */

#include 

#include 

#include 
#include 

/** Matlab driver.
 **/
#define greater(a,b) (a) > (b)
#define getM(arg) mxGetM(in[arg])
#define getN(arg) mxGetN(in[arg])
#define getPr(arg) mxGetPr(in[arg])

VL_INLINE int
findNeighbor(double x, const double* X, int K) {
  int i = 0 ;
  int j = K - 1 ;
  int pivot = 0 ;
  double y = 0 ;
  if(x <  X[i]) return i-1 ;
  if(x >= X[j]) return j ;

  while(i < j - 1) {
    pivot = (i+j) >> 1 ;
    y = X[pivot] ;
    /*mexPrintf("%d %d %d %f %f\n",i,j,pivot,x,y) ;*/
    if(x < y) {
      j = pivot ;
    } else {
      i = pivot ;
    }
  }
  return i ;
}

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum { X=0,Y,I,iwXp,iwYp } ;
  enum { wI=0, wIx, wIy } ;

  int M, N, Mp, Np, ip, jp ;
  double
    *X_pt,
    *Y_pt,
    *I_pt,
    *iwXp_pt,
    *iwYp_pt,
    *wI_pt,
    *wIx_pt   = 0,
    *wIy_pt   = 0 ;

  double Xmin, Xmax, Ymin, Ymax ;
  const double NaN = mxGetNaN() ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */
  if (nin < 5) {
    vlmxError (vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nin > 5) {
    vlmxError (vlmxErrTooManyOutputArguments, NULL) ;
  }
  if (nout > 3) {
    vlmxError (vlmxErrTooManyOutputArguments, NULL) ;
  }

  if (! vlmxIsPlainMatrix(in[I], -1, -1)) {
    vlmxError (vlmxErrInvalidArgument, "I is not a plain matrix.") ;
  }

  if (! vlmxIsPlainMatrix(in[iwXp], -1, -1)) {
    vlmxError(vlmxErrInvalidArgument, "iwXp is not a plain matrix.") ;
  }

  M = getM(I) ;
  N = getN(I) ;
  Mp = getM(iwXp) ;
  Np = getN(iwXp) ;

  if(!vlmxIsPlainMatrix(in[iwYp], Mp, Np)) {
    vlmxError(vlmxErrInvalidArgument,
              "iwXp is not a plain matrix of the same idmension of iwYp.") ;
  }

  if(!vlmxIsPlainVector(in[X],N) || !vlmxIsPlainVector(in[Y],M)) {
    vlmxError(vlmxErrInvalidArgument,
              "X and Y are not plain vectors with a length equal to the"
	      " number of columns and rows of I.") ;
  }

  X_pt = getPr(X);
  Y_pt = getPr(Y) ;
  I_pt = getPr(I) ;
  iwXp_pt = getPr(iwXp) ;
  iwYp_pt = getPr(iwYp) ;

  /* Allocate the result. */
  out[wI] = mxCreateDoubleMatrix(Mp, Np, mxREAL) ;
  wI_pt = mxGetPr(out[wI]) ;

  if (nout > 1) {
    out[wIx] = mxCreateDoubleMatrix(Mp, Np, mxREAL) ;
    out[wIy] = mxCreateDoubleMatrix(Mp, Np, mxREAL) ;
    wIx_pt = mxGetPr (out[wIx]) ;
    wIy_pt = mxGetPr (out[wIy]) ;
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */
  Xmin = X_pt [0] ;
  Xmax = X_pt [N - 1] ;
  Ymin = Y_pt [0] ;
  Ymax = Y_pt [M - 1] ;

  if (nout <= 1) {

    /* optimized for only image output */
    for(jp = 0 ; jp < Np ; ++jp) {
      for(ip = 0 ; ip < Mp ; ++ip) {
	/* Search for the four neighbors of the backprojected point. */
	double x = *iwXp_pt++ ;
	double y = *iwYp_pt++ ;
	double z = NaN ;

	/* This messy code allows the identity transformation
	 * to be processed as expected. */
	if(x >= Xmin && x <= Xmax &&
	   y >= Ymin && y <= Ymax) {
	  int j = findNeighbor(x, X_pt, N) ;
	  int i = findNeighbor(y, Y_pt, M) ;
	  double* pt  = I_pt + j*M + i ;

	  /* Weights. */
	  double x0 = X_pt[j] ;
	  double x1 = (j < N-1) ? X_pt[j+1] : x0 + 1;
	  double y0 = Y_pt[i] ;
	  double y1 = (i < M-1) ? Y_pt[i+1] : y0 + 1;
	  double wx = (x-x0)/(x1-x0) ;
	  double wy = (y-y0)/(y1-y0) ;

	  /* Load all possible neighbors. */
	  double z00 = 0.0 ;
	  double z10 = 0.0 ;
	  double z01 = 0.0 ;
	  double z11 = 0.0 ;

	  if(j > -1) {
	    if(i > -1 ) z00 = *pt ;
	    pt++ ;
	    if(i < M-1) z10 = *pt ;
	  } else {
	    pt++ ;
	  }

	  pt += M - 1;

	  if(j < N-1) {
	    if(i > -1 ) z01 = *pt ;
	    pt++ ;
	    if(i < M-1) z11 = *pt ;
	  }

	  /* Bilinear interpolation. */
	  z =
	    (1 - wy) * ((1-wx) * z00 + wx * z01) +
	    (    wy) * ((1-wx) * z10 + wx * z11) ;
	}

	*(wI_pt + jp*Mp + ip) = z ;
      }
    }
  }

  /* do also the derivatives */
  else {

    /* optimized for only image output */
    for(jp = 0 ; jp < Np ; ++jp) {
      for(ip = 0 ; ip < Mp ; ++ip) {
	/* Search for the four neighbors of the backprojected point. */
	double x = *iwXp_pt++ ;
	double y = *iwYp_pt++ ;
	double z = NaN, zx = NaN, zy = NaN ;

	/* This messy code allows the identity transformation
	 * to be processed as expected. */
	if(x >= Xmin && x <= Xmax &&
	   y >= Ymin && y <= Ymax) {
	  int j = findNeighbor(x, X_pt, N) ;
	  int i = findNeighbor(y, Y_pt, M) ;
	  double* pt  = I_pt + j*M + i ;

	  /* Weights. */
	  double x0 = X_pt[j] ;
	  double x1 = X_pt[j+1] ;
	  double y0 = Y_pt[i] ;
	  double y1 = Y_pt[i+1] ;
	  double wx = (x-x0)/(x1-x0) ;
	  double wy = (y-y0)/(y1-y0) ;

	  /* Load all possible neighbors. */
	  double z00 = 0.0 ;
	  double z10 = 0.0 ;
	  double z01 = 0.0 ;
	  double z11 = 0.0 ;

	  if(j > -1) {
	    if(i > -1 ) z00 = *pt ;
	    pt++ ;
	    if(i < M-1) z10 = *pt ;
	  } else {
	    pt++ ;
	  }

	  pt += M - 1;

	  if(j < N-1) {
	    if(i > -1 ) z01 = *pt ;
	    pt++ ;
	    if(i < M-1) z11 = *pt ;
	  }

	  /* Bilinear interpolation. */
	  z =
	    (1-wy)*( (1-wx) * z00 + wx * z01) +
	    wy*( (1-wx) * z10 + wx * z11) ;

	  zx =
	    (1-wy) * (z01 - z00) +
	       wy  * (z11 - z10) ;

	  zy =
	    (1-wx) * (z10 - z00) +
	       wx  * (z11 - z01) ;
	}

	*(wI_pt  + jp*Mp + ip) = z ;
	*(wIx_pt + jp*Mp + ip) = zx ;
	*(wIy_pt + jp*Mp + ip) = zy ;
      }
    }
  }
}
vlfeat-0.9.16/toolbox/imop/vl_imwhiten.m000066400000000000000000000024201203326130700202200ustar00rootroot00000000000000function J=vl_imwhiten(I,alpha,cutoff)
% VL_IMWHITEN  Whiten image
%   J = VL_IMWHITEN(I,ALPHA) approximatively whitens the power spectrum
%   of the natural image I. The algorithm assumes that the modulus of
%   the spectrum decays as 1/f^ALPHA (f is the frequency).
%
%   VL_IMWHITEN(I) uses ALPHA=1 (a typical value for natural images).
%
%   VL_IMWHITEN(I,ALPHA,CUTOFF) also applies a low-pass filter with
%   cutoff frequency equal to CUTOFF x FN, where FN is the Nyquist
%   frequency (half of the sampling frequency).
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if ~exist('alpha'),  alpha = 1 ; end
if ~exist('cutoff'), cutoff = [] ; end

[M,N]=size(I) ;

% Frequency domain
fn = 0.5 ; % Nyquist freq (=1/2T, T=1)
fx_range=linspace(-fn, fn, N) ;
fy_range=linspace(-fn, fn, M) ;
[fx fy]=meshgrid(fx_range, fy_range) ;

% Whitening filter
rho=sqrt(fx.*fx+fy.*fy);
filt=rho.^alpha ;

% Low-pass filter
if ~isempty(cutoff)
  fcut = cutoff * fn ;
  filt = filt .* exp(-(rho/fcut).^4);
  %filt = filt .* exp( - 0.5 * (rho / fcut) .^ 2);
end

% Apply filter
J = real(ifft2(fft2(I).*fftshift(filt))) ;
vlfeat-0.9.16/toolbox/imop/vl_rgb2xyz.m000066400000000000000000000025421203326130700200100ustar00rootroot00000000000000function J=vl_rgb2xyz(I,ws)
% VL_RGB2XYZ  Convert RGB color space to XYZ
%   J=VL_RGB2XYZ(I) converts the CIE RGB image I to the image J in
%   CIE XYZ format. CIE RGB has a white point of R=G=B=1.0
%
%   VL_RGB2XYZ(I,WS) uses the specified RGB working space WS. The
%   function supports the following RGB working spaces:
%
%   * `CIE'    E illuminant, gamma=2.2
%   * `Adobe'  D65 illuminant, gamma=2.2
%
%   The default workspace is CIE.
%
%   See also: VL_XYZ2RGB(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[M,N,K] = size(I) ;

if K~=3
	error('I must be a MxNx3 array.') ;
end

I=im2double(I) ;

if(nargin < 2)
  workspace = 'CIE' ;
else
  workspace = ws ;
end

switch workspace
  case 'CIE'
    % CIE: E illuminant and 2.2 gamma
    A = [
      0.488718    0.176204    0.000000
      0.310680    0.812985    0.0102048
      0.200602     0.0108109  0.989795 ]' ;
    gamma = 2.2 ;

  case 'Adobe'
    % Adobe 1998: D65 illuminant and 2.2 gamma
    A = [
      0.576700    0.297361    0.0270328
      0.185556    0.627355    0.0706879
      0.188212    0.0752847   0.99124 ]' ;
    gamma = 2.2 ;
end

[M,N,K] = size(I) ;

I = reshape(I.^gamma, M*N, K) ;
J = A*I' ;
J = reshape(J', M, N, K) ;
vlfeat-0.9.16/toolbox/imop/vl_tps.m000066400000000000000000000025311203326130700172050ustar00rootroot00000000000000function [phi,S] = vl_tps(x1,x2,Y)
% VL_TPS  Compute the thin-plate spline basis
%   PHI=VL_TPS(X1,X2,Y) returns the basis PHI of a thin-plate spline
%   (TPS) defined on the domain X1,X2 with control points Y.
%
%   X1 and X2 are MxN matrices specifying the grid vertices.  When
%   warping images, these usually correspond to image pixels.
%
%   Y is a 2xK matrix specifying the control points, one per
%   column. Ofthen Y is a subset of the domain X1,X2, but this is not
%   required.
%
%   PHI is a (K+3)xNxM matrix, with one layer per basis element. Each
%   basis element is a function of the domain X1,X2.
%
%   [PHI,S] = VL_TPS(X1,X2,Y) additionally returns the stiffness matrix S
%   of the TPS.
%
%   See also: VL_WTPS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

X = [x1(:)';x2(:)'] ;

K = size(Y,2) ;
Q = size(X,2) ;
U = vl_tpsu(Y,Y) ;
L = [[ones(1,K); Y], zeros(3) ; U, ones(K,1), Y'] ;
invL = inv(L) ;

tmp = vl_tpsu(Y,X) ;
phi = invL * [ ones(1,Q) ; X(1,:) ; X(2,:) ; tmp ] ;

[M,N] = size(x1) ;
phi = reshape(phi,K+3,M,N) ;

if nargout > 1
  % See Bookstein; note that here the terms are re-arranged a bit
  invLn = invL(1:K, end-K+1:end) ;
  S = invLn * U * invLn ;
end
vlfeat-0.9.16/toolbox/imop/vl_tpsu.m000066400000000000000000000033331203326130700173730ustar00rootroot00000000000000function [U,dU,delta]=vl_tpsu(X,Y)
% VL_TPSU  Compute the U matrix of a thin-plate spline transformation
%   U=VL_TPSU(X,Y) returns the matrix
%
%   [ U(|X(:,1) - Y(:,1)|) ... U(|X(:,1) - Y(:,N)|) ]
%   [                                               ]
%   [ U(|X(:,M) - Y(:,1)|) ... U(|X(:,M) - Y(:,N)|) ]
%
%   where X is a 2xM matrix and Y a 2xN matrix of points and U(r) is
%   the opposite -r^2 log(r^2) of the radial basis function of the
%   thin plate spline specified by X and Y.
%
%   [U,dU]=vl_tpsu(x,y) returns the derivatives of the columns of U with
%   respect to the parameters Y. The derivatives are arranged in a
%   Mx2xN array, one layer per column of U.
%
%   See also: VL_TPS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if exist('tpsumx')
	U = tpsumx(X,Y) ;
else
  M=size(X,2) ;
  N=size(Y,2) ;

  % Faster than repmat, but still fairly slow
  r2 = ...
      (X(   ones(N,1), :)' - Y(  ones(1,M), :)).^2 + ...
      (X( 1+ones(N,1), :)' - Y(1+ones(1,M), :)).^2 ;
  U = - rb(r2) ;
end

if nargout > 1
  M=size(X,2) ;
  N=size(Y,2) ;

  dx = X(  ones(N,1), :)' - Y(  ones(1,M), :) ;
  dy = X(1+ones(N,1), :)' - Y(1+ones(1,M), :) ;
  r2 = (dx.^2 + dy.^2) ;
  r = sqrt(r2) ;
  coeff = drb(r)./(r+eps) ;
  dU  = reshape( [coeff .* dx ; coeff .* dy], M, 2, N) ;
end

% The radial basis function
function y = rb(r2)
y = zeros(size(r2)) ;
sel = find(r2 ~= 0) ;
y(sel) = - r2(sel) .* log(r2(sel)) ;

% The derivative of the radial basis function
function y = drb(r)
y = zeros(size(r)) ;
sel = find(r ~= 0) ;
y(sel) = - 4 * r(sel) .* log(r(sel)) - 2 * r(sel) ;
vlfeat-0.9.16/toolbox/imop/vl_tpsumx.c000066400000000000000000000037161203326130700177330ustar00rootroot00000000000000/* file:        tpsumx.c
** author:      Andrea Vedaldi
** description: vl_tpsumx - MEX definition
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 
#include 

/** Matlab driver.
 **/
#define getM(arg) mxGetM(in[arg])
#define getN(arg) mxGetN(in[arg])
#define getPr(arg) mxGetPr(in[arg])

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum { X=0,Y } ;
  enum { U } ;

  int NP, NCP ;
  int i,j ;
  double *X_pt, *Y_pt, *U_pt ;
#undef small
  const double small = 2.220446049250313e-16 ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */
  if (nin != 2) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  } else if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  if(!vlmxIsMatrix(in[X], 2, -1)) {
    mexErrMsgTxt("X must be a 2xNP real matrix") ;
  }

  if(!vlmxIsMatrix(in[Y], 2, -1)) {
    mexErrMsgTxt("Y must be a 2xNCP real matrix") ;
  }

  NP  = getN(X) ;
  NCP = getN(Y) ;

  X_pt = getPr(X);
  Y_pt = getPr(Y) ;

  /* Allocate the result. */
  out[U] = mxCreateDoubleMatrix(NP, NCP, mxREAL) ;
  U_pt = mxGetPr(out[U]) ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */
  for(j = 0 ; j < NCP ; ++j) {
    double xcp = *Y_pt++ ;
    double ycp = *Y_pt++ ;
    for(i = 0 ; i < NP ; ++i) {
      double dx = *X_pt++ - xcp ;
      double dy = *X_pt++ - ycp ;
      double r2 = dx*dx + dy*dy ;
      *U_pt++ = (r2 <= small) ? 0 : r2 * log (r2) ;
    }
    X_pt -= 2*NP ;
  }
}
vlfeat-0.9.16/toolbox/imop/vl_waffine.m000066400000000000000000000033221203326130700200150ustar00rootroot00000000000000function varargout = vl_waffine(A,T,varargin)
% VL_WAFFINE  Apply affine transformation to points
%  Y = VL_WAFFINE(A,T,X) applies the affine transformatio (A,T) to points
%  X. X contains one point per column.
%
%  [Y1,Y2,...] = VL_WAFFINE(A,T,X1,X2,...) applies the affine
%  transformation (A,T) to the points (X1,X2,...). Each array
%  X1,X2,... contains one of the coordinates of the points.
%
%  See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if numel(varargin)==1

  X = varargin{1} ;

  [n,k] = size(X);
  if n == 2
    Y(1,:) = A(1,1)*X(1,:) + A(1,2)*X(2,:) + T(1) ;
    Y(2,:) = A(2,1)*X(1,:) + A(2,2)*X(2,:) + T(2) ;
  elseif n == 3
    Y(1,:) = A(1,1)*X(1,:) + A(1,2)*X(2,:) + A(1,3) * X(3,:) + T(1) ;
    Y(2,:) = A(2,1)*X(1,:) + A(2,2)*X(2,:) + A(2,3) * X(3,:) + T(2) ;
    Y(3,:) = A(3,1)*X(1,:) + A(3,2)*X(2,:) + A(3,3) * X(3,:) + T(3) ;
  else
    Y = A*X + repmat(T,1,k) ;
  end

  varargout{1} = Y ;

else

  n = numel(varargin) ;

  if n == 2
    varargout{1} = A(1,1)*varargin{1} + A(1,2)*varargin{2} + T(1) ;
    varargout{2} = A(2,1)*varargin{1} + A(2,2)*varargin{2} + T(2) ;
  elseif n == 3
    varargout{1} = A(1,1)*varargin{1} + A(1,2)*varargin{2} + A(1,3)*varargin{3} + T(1) ;
    varargout{2} = A(2,1)*varargin{1} + A(2,2)*varargin{2} + A(2,3)*varargin{3} + T(2) ;
    varargout{3} = A(3,1)*varargin{1} + A(3,2)*varargin{2} + A(3,3)*varargin{3} + T(3) ;
  else
    for i=1:n
      varargout{i} = T(i) * ones(size(varargin{1})) ;
      for j=1:n
        varargout{i} = varargout{i} + A(i,j)*varargin{j} ;
      end
    end
  end
end
vlfeat-0.9.16/toolbox/imop/vl_witps.m000066400000000000000000000026571203326130700175560ustar00rootroot00000000000000function [x1,x2]=vl_witps(xp1,xp2,Y,Yp)
% VL_WITPS  Inverse thin-plate spline warping
%   [X1,X2]=VL_WITPS(XP1,XP2,Y,Yp) computes the inverse thin-plate spline
%   (TPS) warp of the points XP1,XP2.
%
%   Remark::
%     The inverse of a thin-plate spline in general is NOT a
%     thin-plate spline and some splines do not have an inverse.  This
%     function uses Gauss-Newton to compute a set of points (X1,X2)
%     such that [XP1,XP2]=VL_WTPS(X1,X2,Y,Yp).
%
%   See also: VL_WTPS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% Initial guess by inverting the control points
[x1,x2] = vl_wtps(vl_tps(xp1,xp2,Yp),Y) ;

X  = [x1(:)';x2(:)'] ;
Xp = [xp1(:)',;xp2(:)'] ;

% Gauss-Newton
K = size(Y,2) ;
N = size(X,2) ;
U = vl_tpsu(Y,Y) ;
L = [[ones(1,K); Y], zeros(3) ; U, ones(K,1), Y'] ;
invL = inv(L) ;
A = [Yp, zeros(2,3)] * invL ;

for t=1:5
  [U,dU]  = vl_tpsu(Y,X);
  W = A * [repmat([0 0;1 0;0 1],1,N); reshape(dU, K, 2*N)] ;
  err = Xp - A * [ ones(1,N) ; X(1,:) ; X(2,:) ; U ] ;

  W = reshape(W,4,N) ;
  dets = W(1,:).*W(4,:) - W(3,:).*W(2,:) ;
  dX = [ (  W(4,:).*err(1,:) - W(3,:).*err(2,:) ) ./ dets ; ...
         (- W(2,:).*err(1,:) + W(1,:).*err(2,:) ) ./ dets ] ;
  X = X + dX ;
end

[M,N] = size(xp1) ;
x1 = reshape(X(1,:),M,N) ;
x2 = reshape(X(2,:),M,N) ;
vlfeat-0.9.16/toolbox/imop/vl_wtps.m000066400000000000000000000024061203326130700173750ustar00rootroot00000000000000function [xp1,xp2]=vl_wtps(phi,Yp)
% VL_WTPS  Thin-plate spline warping
%   [XP1,XP2]=VL_WTPS(PHI,YP) computes the thin-plate spline (TPS)
%   specified by the basis PHI and the warped control point Yp.
%
%   Yp is a 2xK matrix with one column per control point and the basis
%   PHI is calculated by means of the VL_TPS function.
%
%   The thin-palte spline is defined on a domain X1,X2 and specified
%   by a set of points Y and their warp YP. The spline passes
%   interpolates exaclty the control points.
%
%   The parameters X1,X2 and Y are used to compute the basis PHI. This
%   operation is fairily slow, but computing the spline for a given Yp
%   is then very quick, as the operation is just a linear combination
%   of the basis.
%
%   Example::
%     To calculate the warped grid [X1,X2] by moving the control points Y to
%     the control points YP use:
%       [xp1,xp2]=VL_WTPS(VL_TPS(x1,x2,Y),Yp).
%
%   See also: VL_TPS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[K,M,N] = size(phi) ;

Xp=[Yp, zeros(2,3)]*reshape(phi,K,M*N) ;

xp1 = reshape(Xp(1,:),M,N) ;
xp2 = reshape(Xp(2,:),M,N) ;
vlfeat-0.9.16/toolbox/imop/vl_xyz2lab.m000066400000000000000000000030421203326130700177700ustar00rootroot00000000000000function J=vl_xyz2lab(I,il)
% VL_XYZ2LAB  Convert XYZ color space to LAB
%   J = VL_XYZ2LAB(I) converts the image from XYZ format to LAB format.
%
%   VL_XYZ2LAB(I,IL) uses one of the illuminants A, B, C, E, D50, D55,
%   D65, D75, D93. The default illuminatn is E.
%
%   See also: VL_XYZ2LUV(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin < 2
  il='E' ;
end

switch lower(il)
  case 'a'
    xw = 0.4476 ;
    yw = 0.4074 ;
  case 'b'
    xw = 0.3324 ;
    yw = 0.3474 ;
  case 'c'
    xw = 0.3101 ;
    yw = 0.3162 ;
  case 'e'
    xw = 1/3 ;
    yw = 1/3 ;
  case 'd50'
    xw = 0.3457 ;
    yw = 0.3585 ;
  case 'd55'
    xw = 0.3324 ;
    yw = 0.3474 ;
  case 'd65'
    xw = 0.312713 ;
    yw = 0.329016 ;
  case 'd75'
    xw = 0.299 ;
    yw = 0.3149 ;
  case 'd93'
    xw = 0.2848 ;
    yw = 0.2932 ;
end

J=zeros(size(I)) ;

% Reference white
Yw = 1.0 ;
Xw = xw/yw ;
Zw = (1-xw-yw)/yw * Yw ;

% XYZ components
X = I(:,:,1) ;
Y = I(:,:,2) ;
Z = I(:,:,3) ;

x = X/Xw ;
y = Y/Yw ;
z = Z/Zw ;

L = 116 * f(y) - 16 ;
a = 500*(f(x) - f(y)) ;
b = 200*(f(y) - f(z)) ;

J = cat(3,L,a,b) ;

% --------------------------------------------------------------------
function b=f(a)
% --------------------------------------------------------------------
sp = find(a  > 0.00856) ;
sm = find(a <= 0.00856) ;
k = 903.3 ;
b=zeros(size(a)) ;
b(sp) = a(sp).^(1/3) ;
b(sm) = (k*a(sm) + 16)/116 ;
vlfeat-0.9.16/toolbox/imop/vl_xyz2luv.m000066400000000000000000000031301203326130700200360ustar00rootroot00000000000000function J=vl_xyz2luv(I,il)
% VL_XYZ2LUV  Convert XYZ color space to LUV
%   J = VL_XYZ2LUV(I) converts the image I in XYZ format to the image J
%   in Luv format.
%
%   J = VL_XYZ2LUV(I,IL) uses the specified illuminant. The following
%   illuminant are supported: A, B, C, E, D50, D55, D65, D75, D93.  IL
%   is the name of the illuminant.
%
%   See also: VL_XYZ2LAB(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin < 2
  il='E' ;
end

switch lower(il)
  case 'a'
    xw = 0.4476 ;
    yw = 0.4074 ;
  case 'b'
    xw = 0.3324 ;
    yw = 0.3474 ;
  case 'c'
    xw = 0.3101 ;
    yw = 0.3162 ;
  case 'e'
    xw = 1/3 ;
    yw = 1/3 ;
  case 'd50'
    xw = 0.3457 ;
    yw = 0.3585 ;
  case 'd55'
    xw = 0.3324 ;
    yw = 0.3474 ;
  case 'd65'
    xw = 0.312713 ;
    yw = 0.329016 ;
  case 'd75'
    xw = 0.299 ;
    yw = 0.3149 ;
  case 'd93'
    xw = 0.2848 ;
    yw = 0.2932 ;
end

J=zeros(size(I)) ;

% Reference white
xw = 1/3 ;
yw = 1/3 ;
Yw = 1.0 ;
Xw = xw/yw ;
Zw = (1-xw-yw)/yw * Yw ;

J=zeros(size(I)) ;

X = I(:,:,1) ;
Y = I(:,:,2) ;
Z = I(:,:,3) ;

upw = 4*Xw / (Xw + 15*Yw + 3*Zw) ;
vpw = 9*Yw / (Xw + 15*Yw + 3*Zw) ;

up = 4*X ./ (X + 15*Y + 3*Z) ;
vp = 9*Y ./ (X + 15*Y + 3*Z) ;

sp = find( Y / Yw  > 0.008856) ;
sm = find( Y / Yw <= 0.008856) ;

L = zeros(size(Y)) ;
L(sp) =   116*( Y(sp) / Yw ).^(1/3) - 16 ;
L(sm) = 903.3*( Y(sm) / Yw ) ;

u = 13 * L .* (up - upw) ;
v = 13 * L .* (vp - vpw) ;

J = cat(3,L,u,v) ;
vlfeat-0.9.16/toolbox/imop/vl_xyz2rgb.m000066400000000000000000000022111203326130700200010ustar00rootroot00000000000000function J=vl_xyz2rgb(I,ws)
% VL_XYZ2RGB  Convert XYZ to RGB
%   J = VL_XYZ2RGB(I) the XYZ image I in RGB format.
%
%   VL_XYZ2RGB(I,WS) uses the RGB workspace WS. WS is a string in
%
%   - CIE:    E illuminant and 2.2 gamma
%   - Adobe:  D65 illuminant and 2.2 gamma
%
%   The default workspace is CIE.
%
%   See also: VL_RGB2XYZ(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if(nargin < 2)
  workspace = 'CIE' ;
else
  workspace = ws ;
end

switch workspace
  case 'CIE'
    % CIE: E illuminant and 2.2 gamma
    A = [
      0.488718    0.176204    0.000000
      0.310680    0.812985    0.0102048
      0.200602     0.0108109  0.989795 ]' ;
    gamma = 2.2 ;

  case 'Adobe'
    % Adobe 1998: D65 illuminant and 2.2 gamma
    A = [
      0.576700    0.297361    0.0270328
      0.185556    0.627355    0.0706879
      0.188212    0.0752847   0.99124 ]' ;
    gamma = 2.2 ;
end

[M,N,K] = size(I) ;

I = reshape(I, M*N, K) ;
J = inv(A)*I' ;
J = reshape(J'.^(1/gamma), M, N, K) ;
vlfeat-0.9.16/toolbox/info.xml000066400000000000000000000006651203326130700162370ustar00rootroot00000000000000
    

    2012a
    VLFeat
    toolbox
    ../doc/images/vl_blue.png
    ../doc/mdoc/
    ../doc/images/vl_blue.png


vlfeat-0.9.16/toolbox/kmeans/000077500000000000000000000000001203326130700160315ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/kmeans/vl_hikmeans.c000066400000000000000000000136071203326130700205040ustar00rootroot00000000000000/** file:        hikmeans.c
 ** description: MEX hierarchical ikmeans.
 ** author:      Brian Fulkerson
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include

#include
#include
#include
#include
#include

#include 
#include 

#define NFIELDS(field_names) (sizeof(field_names)/sizeof(*field_names))

enum {
  opt_max_niters,
  opt_method,
  opt_verbose
} ;

vlmxOption  options [] = {
  {"MaxIters",     1,   opt_max_niters  },
  {"Method",       1,   opt_method      },
  {"Verbose",      0,   opt_verbose     },
  {0,              0,   0               }
} ;

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Copy HIKM tree node to a MATLAB structure
 **/

static void
xcreate (mxArray *mnode, int i, VlHIKMNode *node)
{
  int node_K                = vl_ikm_get_K (node->filter) ;
  int M                     = vl_ikm_get_ndims (node->filter) ;
  vl_ikm_acc const *centers = vl_ikm_get_centers (node->filter) ;

  mxArray *mcenters ;

  mcenters = mxCreateNumericMatrix (M, node_K, mxINT32_CLASS, mxREAL);
  memcpy (mxGetPr(mcenters), centers, sizeof(vl_ikm_acc) * M * node_K) ;
  mxSetField (mnode, i, "centers", mcenters) ;

  if (node->children) {
    mxArray * msub ;
    const char * field_names[] = {"centers", "sub" } ;
    mwSize dims [2] ;
    int k ;

    dims[0] = 1 ;
    dims[1] = node_K ;

    msub = mxCreateStructArray (2, dims, 2, field_names) ;

    for (k = 0 ; k < node_K ; ++k) {
      xcreate (msub, k, node -> children [k]) ;
    }

    mxSetField (mnode, i, "sub", msub) ;
  }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Copy HIKM tree to a MATLAB structure
 **/

mxArray *
hikm_to_matlab (VlHIKMTree * tree)
{
  int K      = vl_hikm_get_K (tree) ;
  int depth  = vl_hikm_get_depth (tree) ;
  mwSize  dims [2] = {1, 1} ;
  mxArray *mtree ;
  const char *field_names[] = {"K", "depth", "centers", "sub"} ;

  /* Create the main struct array */
  mtree = mxCreateStructArray
    (2, dims, NFIELDS(field_names), field_names) ;
  mxSetField (mtree, 0, "K",      mxCreateDoubleScalar (K)) ;
  mxSetField (mtree, 0, "depth",  mxCreateDoubleScalar (depth)) ;
  if (tree->root) xcreate (mtree, 0, tree->root) ;
  return mtree;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief MEX driver
 **/
void mexFunction (int nout, mxArray * out[], int nin, const mxArray * in[])
{
  vl_uint8 *data ;
  enum {IN_DATA = 0, IN_K, IN_NLEAVES, IN_END} ;
  enum {OUT_TREE = 0, OUT_ASGN} ;
  int M, N, K = 2, depth = 0 ;

  int             opt ;
  int             next = IN_END ;
  mxArray const  *optarg ;

  int nleaves     = 1 ;
  int method_type = VL_IKM_LLOYD ;
  int max_niters  = 200 ;
  int verb        = 0 ;

  VlHIKMTree* tree ;

  VL_USE_MATLAB_ENV ;

  /* ------------------------------------------------------------------
   *                                                Check the arguments
   * --------------------------------------------------------------- */

  if (nin < 3)
    {
      mexErrMsgTxt ("At least three arguments required.");
    }
  else if (nout > 2)
    {
      mexErrMsgTxt ("Too many output arguments.");
    }

  if (mxGetClassID (in[IN_DATA]) != mxUINT8_CLASS)
    {
      mexErrMsgTxt ("DATA must be of class UINT8.");
    }

  if (! vlmxIsPlainScalar (in[IN_NLEAVES])           ||
      (nleaves = (int) *mxGetPr (in[IN_NLEAVES])) < 1) {
    mexErrMsgTxt ("NLEAVES must be a scalar not smaller than 2.") ;
  }

  M = mxGetM (in[IN_DATA]);   /* n of components */
  N = mxGetN (in[IN_DATA]);   /* n of elements */

  if (! vlmxIsPlainScalar (in[IN_K])         ||
      (K = (int) *mxGetPr (in[IN_K])) > N  ) {
    mexErrMsgTxt ("Cannot have more clusters than data.") ;
  }

  data = (vl_uint8 *) mxGetPr (in[IN_DATA]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    char buf [1024] ;

    switch (opt) {

    case opt_verbose :
      ++ verb ;
      break ;

    case opt_max_niters :
      if (!vlmxIsPlainScalar(optarg) || (max_niters = (int) *mxGetPr(optarg)) < 1) {
        mexErrMsgTxt("MaxNiters must be not smaller than 1.") ;
      }
      break ;

    case opt_method :
      if (!vlmxIsString (optarg, -1)) {
        mexErrMsgTxt("'Method' must be a string.") ;
      }
      if (mxGetString (optarg, buf, sizeof(buf))) {
        mexErrMsgTxt("Option argument too long.") ;
      }
      if (strcmp("lloyd", buf) == 0) {
        method_type = VL_IKM_LLOYD ;
      } else if (strcmp("elkan", buf) == 0) {
        method_type = VL_IKM_ELKAN ;
      } else {
        mexErrMsgTxt("Unknown cost type.") ;
      }

      break ;

    default :
      abort() ;
      break ;
    }
  }

  /* ---------------------------------------------------------------
   *                                                      Do the job
   * ------------------------------------------------------------ */

  depth = VL_MAX(1, ceil (log (nleaves) / log(K))) ;
  tree  = vl_hikm_new  (method_type) ;

  if (verb) {
    mexPrintf("hikmeans: # dims: %d\n", M) ;
    mexPrintf("hikmeans: # data: %d\n", N) ;
    mexPrintf("hikmeans: K: %d\n", K) ;
    mexPrintf("hikmeans: depth: %d\n", depth) ;
  }

  vl_hikm_set_verbosity (tree, verb) ;
  vl_hikm_init          (tree, M, K, depth) ;
  vl_hikm_train         (tree, data, N) ;

  out[OUT_TREE] = hikm_to_matlab (tree) ;

  if (nout > 1) {
    vl_uint *asgn ;
    int j ;
    out [OUT_ASGN] = mxCreateNumericMatrix
      (vl_hikm_get_depth (tree), N, mxUINT32_CLASS, mxREAL) ;
    asgn = mxGetData(out[OUT_ASGN]) ;
    vl_hikm_push (tree, asgn, data, N) ;
    for (j = 0 ; j < N*depth ; ++ j) asgn [j] ++ ;
  }

  if (verb) {
    mexPrintf("hikmeans: done.\n") ;
  }

  /* vl_hikm_delete (tree) ; */
}
vlfeat-0.9.16/toolbox/kmeans/vl_hikmeans.m000066400000000000000000000027211203326130700205110ustar00rootroot00000000000000function [tree,asgn] = vl_hikmeans(data,K,nleaves)
% VL_HIKMEANS  Hierachical integer K-means
%   [TREE,ASGN] = VL_HIKMEANS(DATA,K,NLEAVES) applies recursive integer
%   K-menas to cluster the data DATA, returing a structure TREE
%   representing the clusters and a vector ASGN with the data to
%   cluster assignments. The depth of the recursive partition is
%   computed so that at least NLEAVES are generated.
%
%   VL_HIKMEANS() is built on top of VL_IKMEANS() and requires the data to
%   be of class UINT8.
%
%   TREE is a structure representing the hierarchical clusters.  Each
%   node of the tree is also a structure with fields:
%
%   DEPTH::
%     Depth of the tree (only at the root node)
%
%   CENTERS::
%     K cluster centers
%
%   SUB::
%     Array of K node structures representing subtrees
%     (this field is missing at leaves).
%
%   ASGN is a matrix with one column per datum and height equal to the
%   depth of the tree. Each column encodes the branch of the tree that
%   correspond to each datum.
%
%   Example::
%     ASGN(:,7) = [1 5 3] means that the tree as depth equal to 3 and
%     that the datum X(:,7) corresponds to the branch
%     ROOT->SUB(1)->SUB(5)->SUB(3).
%
%   See also: VL_HIKMEANSPUSH(), VL_HIKMEANSHIST(), VL_IKMEANS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/kmeans/vl_hikmeanshist.m000066400000000000000000000034531203326130700214040ustar00rootroot00000000000000function h = vl_hikmeanshist(tree,path)
% VL_HIKMEANSHIST  Compute histogram of quantized data
%  H = VL_HIKMEANSHIST(TREE,PATH) computes the histogram of the HIKM tree
%  nodes activated by the root-to-leaf paths PATH. PATH is usually
%  obtained by quantizing data by means of VL_HIKMEANSPUSH().
%
%  The histogram H has one bin for each node of the HIKM tree TREE.
%  The tree has K = TREE.K nodes and depth D = TREE.DEPTH.  Therefore
%  there are M = (K^(D+1) - 1) / (K - 1) nodes in the tree (not
%  counting the root which carries no information). Nodes are stacked
%  into a vector of bins in breadth first order.
%
%  Example::
%    The following relations illustrate the structure of PATH:
%      H(1)   = # of paths such that PATH(1,:) = 1
%      H(K)   = # of paths such that PATH(1,:) = K
%      H(K+1) = # of paths such that PATH(1:2,:) = [1 ; 1]
%      H(K+K) = # of paths such that PATH(1:2,:) = [1 ; K]
%
%  See also: VL_HIKMEANS(), VL_HIKMEANSPUSH(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% PATH(:,k) is colum of subscripts i1 i2 ... id identifying a path in
% the tree. In a bread first enumeration of the tree nodes (starting
% from one and not counting the root), the node of subscripts
% i1,i2,...id has index
%
% idx = i1 K^{d-1} + i2 K^{d-2} + ... + id
%
% where we assumed the indeces i1,i2,... start from 1. This formula
% can be easily computed recursively. Since we also have a root
% node, we need to add one.

K = tree.K ;
D = tree.depth ;
M = (K^(D+1) - 1) / (K - 1) ;

h = zeros(M, 1) ;
p = zeros(1,size(path,2)) ;

h(1) = size(path,2) ;

for d=1:D
  p = p * K + double(path(d,:))  ;
  h = vl_binsum(h, 1, p + 1) ;
end
vlfeat-0.9.16/toolbox/kmeans/vl_hikmeanspush.c000066400000000000000000000136741203326130700214100ustar00rootroot00000000000000/** @internal
 ** @file    hikmeanspush.c
 ** @brief   vl_hikm_push - MEX driver
 ** @author  Brian Fulkerson
 ** @author  Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include

#include
#include
#include
#include
#include

#include 
#include 

enum {
  opt_method,
  opt_verbose
} ;

vlmxOption  options [] = {
  {"Method",       1,   opt_method      },
  {"Verbose",      0,   opt_verbose     },
  {0,              0,   0               }
} ;

#define NFIELDS(field_names) (sizeof(field_names)/sizeof(*field_names))


/** ------------------------------------------------------------------
 ** @internal
 ** @brief Convert MATLAB structure to HIKM node
 **/

static VlHIKMNode *
xcreate (VlHIKMTree *tree, mxArray const *mnode, int i)
{
  mxArray const *mcenters, *msub ;
  VlHIKMNode *node ;
  vl_size M, node_K ;
  vl_uindex k ;

  /* sanity checks */
  mcenters = mxGetField(mnode, i, "centers") ;
  msub     = mxGetField(mnode, i, "sub") ;

  if (!mcenters                                 ||
      mxGetClassID (mcenters) != mxINT32_CLASS  ||
      !vlmxIsMatrix (mcenters, -1, -1)             ) {
    mexErrMsgTxt("NODE.CENTERS must be a INT32 matrix.") ;
  }

  M      = mxGetM (mcenters) ;
  node_K = mxGetN (mcenters) ;

  if (node_K > (vl_size)tree->K) {
    mexErrMsgTxt("A node has more clusters than TREE.K.") ;
  }

  if (tree->M < 0) {
    tree->M = M ;
  } else if (M != (vl_size)tree->M) {
    mexErrMsgTxt("A node CENTERS field has inconsistent dimensionality.") ;
  }

  node           = mxMalloc (sizeof(VlHIKMNode)) ;
  node->filter   = vl_ikm_new (tree->method) ;
  node->children = 0 ;

  vl_ikm_init (node->filter, mxGetData(mcenters), M, node_K) ;

  /* has any childer? */
  if (msub) {

    /* sanity checks */
    if (mxGetClassID (msub) != mxSTRUCT_CLASS) {
      mexErrMsgTxt("NODE.SUB must be a MATLAB structure array.") ;
    }
    if (mxGetNumberOfElements (msub) != node_K) {
      mexErrMsgTxt("NODE.SUB size must correspond to NODE.CENTERS.") ;
    }

    node-> children = mxMalloc (sizeof(VlHIKMNode *) * node_K) ;
    for(k = 0 ; k < node_K ; ++ k) {
      node-> children [k] = xcreate (tree, msub, k) ;
    }
  }
  return node ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Convert MATLAB structure to HIKM tree
 **/

static VlHIKMTree*
matlab_to_hikm (mxArray const *mtree, int method_type)
{
  VlHIKMTree *tree ;
  mxArray *mK, *mdepth ;
  int K = 0, depth = 0;

  VL_USE_MATLAB_ENV ;

  if (mxGetClassID (mtree) != mxSTRUCT_CLASS) {
    mexErrMsgTxt("TREE must be a MATLAB structure.") ;
  }

  mK       = mxGetField(mtree, 0, "K") ;
  mdepth   = mxGetField(mtree, 0, "depth") ;

  if (!mK                        ||
      !vlmxIsPlainScalar (mK)        ||
      (K = (int) *mxGetPr (mK)) < 1) {
    mexErrMsgTxt("TREE.K must be a DOUBLE not smaller than one.") ;
  }

  if (!mdepth                    ||
      !vlmxIsPlainScalar (mdepth)    ||
      (depth = (int) *mxGetPr (mdepth)) < 1) {
    mexErrMsgTxt("TREE.DEPTH must be a DOUBLE not smaller than one.") ;
  }

  tree         = mxMalloc (sizeof(VlHIKMTree)) ;
  tree-> depth = depth ;
  tree-> K     = K ;
  tree-> M     = -1 ; /* to be initialized later */
  tree-> method= method_type ;
  tree-> root  = xcreate (tree, mtree, 0) ;
  return tree ;
}

/* ---------------------------------------------------------------- */
/** @brief MEX driver entry point
 **/
void mexFunction (int nout, mxArray * out[], int nin, const mxArray * in[])
{
  enum {IN_TREE = 0, IN_DATA, IN_END} ;
  enum {OUT_ASGN = 0} ;
  vl_uint8 const *data;

  int             opt ;
  int             next = IN_END ;
  mxArray const  *optarg ;

  int N = 0 ;
  int method_type = VL_IKM_LLOYD ;
  int verb = 0 ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */
  if (nin < 2)
    mexErrMsgTxt ("At least two arguments required.");
  else if (nout > 1)
    mexErrMsgTxt ("Too many output arguments.");

  if (mxGetClassID (in[IN_DATA]) != mxUINT8_CLASS) {
    mexErrMsgTxt ("DATA must be of class UINT8");
  }

  N = mxGetN (in[IN_DATA]);   /* n of elements */
  data = (vl_uint8 *) mxGetPr (in[IN_DATA]);

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    char buf [1024] ;

    switch (opt) {

    case opt_verbose :
      ++ verb ;
      break ;

    case opt_method :
      if (!vlmxIsString (optarg, -1)) {
        mexErrMsgTxt("'Method' must be a string.") ;
      }
      if (mxGetString (optarg, buf, sizeof(buf))) {
        mexErrMsgTxt("Option argument too long.") ;
      }
      if (strcmp("lloyd", buf) == 0) {
        method_type = VL_IKM_LLOYD ;
      } else if (strcmp("elkan", buf) == 0) {
        method_type = VL_IKM_ELKAN ;
      } else {
        mexErrMsgTxt("Unknown cost type.") ;
      }

      break ;

    default :
      abort() ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

  {
    VlHIKMTree *tree ;
    vl_uint  *ids  ;
    int j;
    int depth ;

    tree  = matlab_to_hikm (in[IN_TREE], method_type) ;
    depth = vl_hikm_get_depth (tree) ;

    if (verb) {
      mexPrintf("hikmeanspush: ndims: %d K: %d depth: %d\n",
                vl_hikm_get_ndims (tree),
                vl_hikm_get_K (tree),
                depth) ;
    }

    out[OUT_ASGN] = mxCreateNumericMatrix (depth, N, mxUINT32_CLASS, mxREAL) ;
    ids = mxGetData (out[OUT_ASGN]) ;

    vl_hikm_push   (tree, ids, data, N) ;
    vl_hikm_delete (tree) ;

    for (j = 0 ; j < N*depth ; j++) ids [j] ++ ;
  }
}
vlfeat-0.9.16/toolbox/kmeans/vl_hikmeanspush.m000066400000000000000000000014511203326130700214100ustar00rootroot00000000000000% VL_HIKMEANSPUSH   Push data down an integer K-means tree
%   PATH = VL_HIKMEANSPUSH(TREE,X) quanizes the data X with the
%   hierachical integer K-means tree TREE. This is obtained by
%   calculating the path of each datum from the root of TREE down to a
%   leaf. Here X has a datum for each column and each column of PATH
%   represents the corresponding root-to-leaf path.
%
%   Example::
%     PATH(:,1) = [2 1 4] means that the first datum follows
%     the branches number 2, 1 and 4 starting from the root of the
%     HIKM tree ending to a leaf.
%
%   See also: VL_HIKMEANS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/kmeans/vl_ikmeans.c000066400000000000000000000106111203326130700203240ustar00rootroot00000000000000/* file:        ikmeans.c
** description: MEX weighted ikmeans function.
** author:      Andrea Vedaldi
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include

#include
#include
#include
#include
#include

#include 
#include 

enum {
  opt_max_niters,
  opt_method,
  opt_verbose
} ;

vlmxOption  options [] = {
  {"MaxIters",     1,   opt_max_niters  },
  {"Method",       1,   opt_method      },
  {"Verbose",      0,   opt_verbose     },
  {0,              0,   0               }
} ;


/* driver */
void mexFunction (int nout, mxArray * out[], int nin, const mxArray * in[])
{
  enum {IN_X = 0, IN_K, IN_END} ;
  enum {OUT_C = 0, OUT_I} ;

  int opt ;
  int next = IN_END ;
  mxArray const  *optarg ;

  int M, N, K = 0 ;
  int err = 0 ;

  vl_uint     *asgn = 0 ;
  vl_ikm_acc  *centers = 0 ;
  vl_uint8 *data ;

  int method_type = VL_IKM_LLOYD ;
  int max_niters  = 200 ;
  int verb = 0 ;

  VlIKMFilt *ikmf ;

  VL_USE_MATLAB_ENV ;

  /* ------------------------------------------------------------------
   *                                                Check the arguments
   * --------------------------------------------------------------- */
  if (nin < 2) {
    mexErrMsgTxt ("At least two arguments required.");
  }
  else if (nout > 2) {
    mexErrMsgTxt ("Too many output arguments.");
  }
  if (mxGetClassID (in[IN_X]) != mxUINT8_CLASS) {
    mexErrMsgTxt ("X must be of class uint8");
  }

  M = mxGetM (in[IN_X]);   /* n of components */
  N = mxGetN (in[IN_X]);   /* n of elements */

  if (!vlmxIsPlainScalar (in[IN_K])          ||
      (K = (int) *mxGetPr(in[IN_K])) < 1 ||
      K > N                               ) {
    mexErrMsgTxt ("K must be a positive integer not greater than the number of data.");
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    char buf [1024] ;

    switch (opt) {

    case opt_verbose :
      ++ verb ;
      break ;

    case opt_max_niters :
      if (!vlmxIsPlainScalar(optarg) || (max_niters = (int) *mxGetPr(optarg)) < 1) {
        mexErrMsgTxt("MaxNiters must be not smaller than 1.") ;
      }
      break ;

    case opt_method :
      if (!vlmxIsString (optarg, -1)) {
        mexErrMsgTxt("'Method' must be a string.") ;
      }
      if (mxGetString (optarg, buf, sizeof(buf))) {
        mexErrMsgTxt("Option argument too long.") ;
      }
      if (strcmp("lloyd", buf) == 0) {
        method_type = VL_IKM_LLOYD ;
      } else if (strcmp("elkan", buf) == 0) {
        method_type = VL_IKM_ELKAN ;
      } else {
        mexErrMsgTxt("Unknown method type.") ;
      }
      break ;

    default :
      abort() ;
    }
  }

  /* ------------------------------------------------------------------
   *                                                         Do the job
   * --------------------------------------------------------------- */

  if (verb) {
    char const * method_name = 0 ;
    switch (method_type) {
    case VL_IKM_LLOYD: method_name = "Lloyd" ; break ;
    case VL_IKM_ELKAN: method_name = "Elkan" ; break ;
    default :
      abort() ;
    }
    mexPrintf("ikmeans: MaxInters = %d\n", max_niters) ;
    mexPrintf("ikmeans: Method    = %s\n", method_name) ;
  }

  data = (vl_uint8*) mxGetPr(in[IN_X]) ;
  ikmf = vl_ikm_new (method_type) ;

  vl_ikm_set_verbosity  (ikmf, verb) ;
  vl_ikm_set_max_niters (ikmf, max_niters) ;
  vl_ikm_init_rand_data (ikmf, data, M, N, K) ;

  err = vl_ikm_train (ikmf, data, N) ;
  if (err) mexWarnMsgTxt("ikmeans: possible overflow!") ;

  /* ------------------------------------------------------------------
 *                                                       Return results
   * --------------------------------------------------------------- */

  {
    out[OUT_C] = mxCreateNumericMatrix (M, K, mxINT32_CLASS, mxREAL) ;
    centers    = mxGetData (out[OUT_C]) ;
    memcpy (centers, vl_ikm_get_centers (ikmf), sizeof(vl_ikm_acc) * M * K) ;
  }

  if (nout > 1) {
    int j ;
    out[OUT_I] = mxCreateNumericMatrix (1, N, mxUINT32_CLASS, mxREAL) ;
    asgn       = mxGetData (out[OUT_I]) ;

    vl_ikm_push (ikmf, asgn, data, N) ;

    for (j = 0 ; j < N ; ++j)
      ++ asgn [j] ;
  }

  vl_ikm_delete (ikmf) ;

  if (verb) {
    mexPrintf("ikmeans: done\n") ;
  }
}
vlfeat-0.9.16/toolbox/kmeans/vl_ikmeans.m000066400000000000000000000015741203326130700203460ustar00rootroot00000000000000% VL_IKMEANS  Integer K-means
%   C = VL_IKMEANS(X,K) returns the centers of a K-means paritioning of
%   the data space X. X must be of class UINT8. C is of class UINT32.
%
%   [C, I] = VL_IKMEANS(...) returns the cluster associations I of the
%   data as well.
%
%   VL_IKMEANS() accepts the following options:
%
%   MaxPasses:: 200
%     Maximum number of iterations before giving up (the algorithm
%     stops as soon as there is no change in the data to cluster
%     associations).
%
%   Method:: Lloyd
%     Algorithm to use ('Lloyd', 'Elkan').
%
%   Verbose::
%     Increase the verbosity level.
%
%  See also: VL_IKMEANSPUSH(), VL_IKMEANSHIST(), VL_HIKMEANS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/kmeans/vl_ikmeanshist.m000066400000000000000000000010201203326130700212200ustar00rootroot00000000000000function h = vl_ikmeanshist(K,asgn)
% VL_IKMEANSHIST  Compute histogram of quantized data
%  H = VL_IKMEANSHIST(K,ASGN) computes the histogram of the IKM clusters
%  activated by cluster assignments ASGN.
%
%  See also: VL_IKMEANS(), VL_IKMEANSPUSH(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

h = zeros(K,1) ;
h = vl_binsum(h, 1, double(asgn)) ;
vlfeat-0.9.16/toolbox/kmeans/vl_ikmeanspush.c000066400000000000000000000071461203326130700212350ustar00rootroot00000000000000/* file:        ikmeanspush.c
** description: MEX weighted ikmeanspush function.
** author:      Andrea Vedaldi
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include

#include
#include
#include
#include
#include

#include 
#include 

enum {
  opt_method,
  opt_verbose
} ;

vlmxOption  options [] = {
  {"Method",       1,   opt_method      },
  {"Verbose",      0,   opt_verbose     },
  {0,              0,   0               }
} ;

/* driver */
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_X=0,IN_C,IN_END} ;
  enum {OUT_ASGN=0} ;
  vl_uint*     asgn ;
  vl_ikm_acc*  centers ;
  vl_uint8* data ;

  int M,N,j,K=0 ;

  int             opt ;
  int             next = IN_END ;
  mxArray const  *optarg ;

  int method_type = VL_IKM_LLOYD ;
  int verb = 0 ;

  VlIKMFilt *ikmf ;

  VL_USE_MATLAB_ENV ;

  /** -----------------------------------------------------------------
   **                                               Check the arguments
   ** -------------------------------------------------------------- */

  if (nin < 2) {
    mexErrMsgTxt("At least two arguments required.") ;
  } else if (nout > 2) {
    mexErrMsgTxt("Too many output arguments.") ;
  }

  if(mxGetClassID(in[IN_X]) != mxUINT8_CLASS) {
    mexErrMsgTxt("X must be of class UINT8") ;
  }

  if(mxGetClassID(in[IN_C]) != mxINT32_CLASS) {
    mexErrMsgTxt("C must be of class INT32") ;
  }

  M = mxGetM(in[IN_X]) ;  /* n of components */
  N = mxGetN(in[IN_X]) ;  /* n of elements */
  K = mxGetN(in[IN_C]) ;  /* n of centers */

  if( (int) mxGetM(in[IN_C]) != M ) {
    mexErrMsgTxt("DATA and CENTERS must have the same number of columns.") ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    char buf [1024] ;

    switch (opt) {

    case opt_verbose :
      ++ verb ;
      break ;

    case opt_method :
      if (!vlmxIsString (optarg, -1)) {
        mexErrMsgTxt("'Method' must be a string.") ;
      }
      if (mxGetString (optarg, buf, sizeof(buf))) {
        mexErrMsgTxt("Option argument too long.") ;
      }
      if (strcmp("lloyd", buf) == 0) {
        method_type = VL_IKM_LLOYD ;
      } else if (strcmp("elkan", buf) == 0) {
        method_type = VL_IKM_ELKAN ;
      } else {
        mexErrMsgTxt("Unknown cost type.") ;
      }

      break ;

    default :
      abort() ;
    }
  }

  /** -----------------------------------------------------------------
   **                                               Check the arguments
   ** -------------------------------------------------------------- */

  if (verb) {
    char const * method_name = 0 ;
    switch (method_type) {
    case VL_IKM_LLOYD: method_name = "Lloyd" ; break ;
    case VL_IKM_ELKAN: method_name = "Elkan" ; break ;
    default :
      abort() ;
    }
    mexPrintf("ikmeanspush: Method = %s\n", method_name) ;
    mexPrintf("ikmeanspush: ndata  = %d\n", N) ;
  }

  out[OUT_ASGN] = mxCreateNumericMatrix (1, N, mxUINT32_CLASS, mxREAL) ;

  data    = (vl_uint8*) mxGetData (in[IN_X]) ;
  centers = (vl_ikm_acc*)  mxGetData (in[IN_C]) ;
  asgn    = (vl_uint*)     mxGetData (out[OUT_ASGN]) ;
  ikmf    = vl_ikm_new (method_type) ;

  vl_ikm_set_verbosity  (ikmf, verb) ;
  vl_ikm_init           (ikmf, centers, M, K) ;
  vl_ikm_push           (ikmf, asgn, data, N) ;

  /* adjust for MATLAB indexing */
  for(j = 0 ; j < N ; ++j) ++ asgn[j] ;

  vl_ikm_delete (ikmf) ;
}
vlfeat-0.9.16/toolbox/kmeans/vl_ikmeanspush.m000066400000000000000000000006731203326130700212450ustar00rootroot00000000000000% VL_IKMEANSPUSH  Project data on integer K-means paritions
%   I = VL_IKMEANSPUSH(X,C) projects the data X to the integer K-meanns
%   clusters of centers C returning the cluster indeces I.
%
%   See also: VL_IKMEANS(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/kmeans/vl_kmeans.c000066400000000000000000000221671203326130700201640ustar00rootroot00000000000000/** @file   vl_kmeans.c
 ** @brief  vl_kmeans MEX definition.
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

enum {
  opt_max_num_iterations,
  opt_algorithm,
  opt_distance,
  opt_initialization,
  opt_num_repetitions,
  opt_verbose
} ;

enum {
  INIT_RANDSEL,
  INIT_PLUSPLUS
} ;

vlmxOption  options [] = {
  {"MaxNumIterations",  1,   opt_max_num_iterations  },
  {"Algorithm",         1,   opt_algorithm           },
  {"Distance",          1,   opt_distance            },
  {"Verbose",           0,   opt_verbose             },
  {"NumRepetitions",    1,   opt_num_repetitions,    },
  {"Initialization",    1,   opt_initialization      },
  {"Initialisation",    1,   opt_initialization      }, /* UK spelling */
  {0,                   0,   0                       }
} ;

/* driver */
void
mexFunction (int nout, mxArray * out[], int nin, const mxArray * in[])
{
  enum {IN_DATA = 0, IN_NUMCENTERS, IN_END} ;
  enum {OUT_CENTERS = 0, OUT_ASSIGNMENTS, OUT_ENERGY} ;

  int opt ;
  int next = IN_END ;
  mxArray const  *optarg ;

  vl_size numCenters ;
  vl_size dimension ;
  vl_size numData ;

  void const * data = NULL ;

  VlKMeansAlgorithm algorithm = VlKMeansLloyd ;
  VlVectorComparisonType distance = VlDistanceL2 ;
  vl_size maxNumIterations = 100 ;
  vl_size numRepetitions = 1 ;
  double energy ;
  int verbosity = 0 ;
  int initialization = INIT_PLUSPLUS ;

  vl_type dataType ;
  mxClassID classID ;

  VlKMeans * kmeans ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 2) {
    vlmxError (vlmxErrInvalidArgument,
              "At least two arguments required.");
  }
  else if (nout > 3) {
    vlmxError (vlmxErrInvalidArgument,
              "Too many output arguments.");
  }

  classID = mxGetClassID (IN(DATA)) ;
  switch (classID) {
    case mxSINGLE_CLASS: dataType = VL_TYPE_FLOAT ; break ;
    case mxDOUBLE_CLASS: dataType = VL_TYPE_DOUBLE ; break ;
    default:
      vlmxError (vlmxErrInvalidArgument,
                "DATA must be of class SINGLE or DOUBLE") ;
      abort() ;
  }

  dimension = mxGetM (IN(DATA)) ;
  numData = mxGetN (IN(DATA)) ;

  if (dimension == 0) {
    vlmxError (vlmxErrInvalidArgument, "SIZE(DATA,1) is zero") ;
  }

  if (!vlmxIsPlainScalar(IN(NUMCENTERS)) ||
      (numCenters = (vl_size) mxGetScalar(IN(NUMCENTERS))) < 1  ||
      numCenters > numData) {
    vlmxError (vlmxErrInvalidArgument,
              "NUMCENTERS must be a positive integer not greater "
              "than the number of data.") ;
  }

  if (dimension == 0) {
    vlmxError (vlmxErrInvalidArgument, "SIZE(DATA,1) is zero") ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    char buf [1024] ;

    switch (opt) {

      case opt_verbose :
        ++ verbosity ;
        break ;

      case opt_max_num_iterations :
        if (!vlmxIsPlainScalar(optarg) || mxGetScalar(optarg) < 0) {
          vlmxError (vlmxErrInvalidArgument,
                    "MAXNUMITERATIONS must be a non-negative integer scalar") ;
        }
        maxNumIterations = (vl_size) mxGetScalar(optarg) ;
        break ;

      case opt_algorithm :
        if (!vlmxIsString (optarg, -1)) {
          vlmxError (vlmxErrInvalidArgument,
                    "ALGORITHM must be a string.") ;
        }
        if (mxGetString (optarg, buf, sizeof(buf))) {
          vlmxError (vlmxErrInvalidArgument,
                    "ALGORITHM argument too long.") ;
        }
        if (vlmxCompareStringsI("lloyd", buf) == 0) {
          algorithm = VlKMeansLloyd ;
        } else if (vlmxCompareStringsI("elkan", buf) == 0) {
          algorithm = VlKMeansElkan ;
        } else if (vlmxCompareStringsI("ann", buf) == 0) {
          algorithm = VlKMeansANN ;
        } else {
          vlmxError (vlmxErrInvalidArgument,
                    "Invalid value %s for ALGORITHM", buf) ;
        }
        break ;

      case opt_initialization :
        if (!vlmxIsString (optarg, -1)) {
          vlmxError (vlmxErrInvalidArgument,
                    "INITLAIZATION must be a string.") ;
        }
        if (mxGetString (optarg, buf, sizeof(buf))) {
          vlmxError (vlmxErrInvalidArgument,
                    "INITIALIZATION argument too long.") ;
        }
        if (vlmxCompareStringsI("plusplus", buf) == 0 ||
            vlmxCompareStringsI("++", buf) == 0) {
          initialization = VlKMeansPlusPlus ;
        } else if (vlmxCompareStringsI("randsel", buf) == 0) {
          initialization = VlKMeansRandomSelection ;
        } else {
          vlmxError (vlmxErrInvalidArgument,
                    "Invalid value %s for INITIALISATION.", buf) ;
        }
        break ;

      case opt_distance :
        if (!vlmxIsString (optarg, -1)) {
          vlmxError (vlmxErrInvalidArgument,
                    "DISTANCE must be a string.") ;
        }
        if (mxGetString (optarg, buf, sizeof(buf))) {
          vlmxError (vlmxErrInvalidArgument,
                    "DISTANCE argument too long.") ;
        }
        if (vlmxCompareStringsI("l2", buf) == 0) {
          distance = VlDistanceL2 ;
        } else if (vlmxCompareStringsI("l1", buf) == 0) {
          distance = VlDistanceL1 ;
        } else if (vlmxCompareStringsI("chi2", buf) == 0) {
          distance = VlDistanceChi2 ;
        } else {
          vlmxError (vlmxErrInvalidArgument,
                    "Invalid value %s for DISTANCE", buf) ;
        }
        break ;

      case opt_num_repetitions :
        if (!vlmxIsPlainScalar (optarg)) {
          vlmxError (vlmxErrInvalidArgument,
                     "NUMREPETITIONS must be a scalar.") ;
        }
        if (mxGetScalar (optarg) < 1) {
          vlmxError (vlmxErrInvalidArgument,
                     "NUMREPETITIONS must be larger than or equal to 1.") ;
        }
        numRepetitions = (vl_size) mxGetScalar (optarg) ;
        break ;

      default :
        abort() ;
        break ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

  data = mxGetPr(IN(DATA)) ;

  kmeans = vl_kmeans_new (dataType, distance) ;

  vl_kmeans_set_verbosity (kmeans, verbosity) ;
  vl_kmeans_set_num_repetitions (kmeans, numRepetitions) ;
  vl_kmeans_set_algorithm (kmeans, algorithm) ;
  vl_kmeans_set_initialization (kmeans, initialization) ;
  vl_kmeans_set_max_num_iterations (kmeans, maxNumIterations) ;

  if (verbosity) {
    char const * algorithmName = 0 ;
    char const * initializationName = 0 ;

    switch (vl_kmeans_get_algorithm(kmeans)) {
      case VlKMeansLloyd: algorithmName = "Lloyd" ; break ;
      case VlKMeansElkan: algorithmName = "Elkan" ; break ;
      case VlKMeansANN:   algorithmName = "ANN" ; break ;
      default : abort() ;
    }
    switch (vl_kmeans_get_initialization(kmeans)) {
      case VlKMeansPlusPlus : initializationName = "plusplus" ; break ;
      case VlKMeansRandomSelection : initializationName = "randsel" ; break ;
      default: abort() ;
    }
    mexPrintf("kmeans: Initialization = %s\n", initializationName) ;
    mexPrintf("kmeans: Algorithm = %s\n", algorithmName) ;
    mexPrintf("kmeans: MaxNumIterations = %d\n", vl_kmeans_get_max_num_iterations(kmeans)) ;
    mexPrintf("kmeans: NumRepetitions = %d\n", vl_kmeans_get_num_repetitions(kmeans)) ;
    mexPrintf("kmeans: data type = %s\n", vl_get_type_name(vl_kmeans_get_data_type(kmeans))) ;
    mexPrintf("kmeans: distance = %s\n", vl_get_vector_comparison_type_name(vl_kmeans_get_distance(kmeans))) ;
    mexPrintf("kmeans: data dimension = %d\n", dimension) ;
    mexPrintf("kmeans: num. data points = %d\n", numData) ;
    mexPrintf("kmeans: num. centers = %d\n", numCenters) ;
    mexPrintf("\n") ;
  }

  /* -------------------------------------------------------------- */
  /*                                    Clustering and quantization */
  /* -------------------------------------------------------------- */

  energy = vl_kmeans_cluster(kmeans, data, dimension, numData, numCenters) ;

  /* copy centers */
  OUT(CENTERS) = mxCreateNumericMatrix (dimension, numCenters, classID, mxREAL) ;
  memcpy (mxGetData(OUT(CENTERS)),
          vl_kmeans_get_centers (kmeans),
          vl_get_type_size (dataType) * dimension * vl_kmeans_get_num_centers(kmeans)) ;

  /* optionally qunatize */
  if (nout > 1) {
    vl_uindex j ;
    vl_uint32 * assignments  ;
    OUT(ASSIGNMENTS) = mxCreateNumericMatrix (1, numData, mxUINT32_CLASS, mxREAL) ;
    assignments = mxGetData (OUT(ASSIGNMENTS)) ;

    vl_kmeans_quantize (kmeans, assignments, NULL, data, numData) ;

    /* use MATLAB indexing convention */
    for (j = 0 ; j < numData ; ++j) { assignments[j] += 1 ; }
  }

  /* optionally return energy */
  if (nout > 2) {
    OUT(ENERGY) = vlmxCreatePlainScalar (energy) ;
  }

  vl_kmeans_delete (kmeans) ;
}
vlfeat-0.9.16/toolbox/kmeans/vl_kmeans.m000066400000000000000000000031571203326130700201740ustar00rootroot00000000000000% VL_KMEANS  Cluster data using k-means
%   [C, A] = VL_KMEANS(X, NUMCENTERS) clusters the columns of the
%   matrix X in NUMCENTERS centers C using k-means. X may be either
%   SINGLE or DOUBLE. C has the same number of rows of X and NUMCENTER
%   columns, with one column per center. A is a UINT32 row vector
%   specifying the assignments of the data X to the NUMCENTER
%   centers.
%
%   [C, A, ENERGY] = VL_KMEANS(...) returns the energy of the solution
%   (or an upper bound for the ELKAN algorithm) as well.
%
%   KMEANS() supports different initialization and optimization
%   methods and different clustering distances. Specifically, the
%   following options are supported:
%
%   Verbose::
%     Increase the verbosity level (may be specified multiple times).
%
%   Distance:: [L2]
%     Use either L1 or L2 distance.
%
%   Initialization::
%     Use either random data points (RANDSEL) or k-means++ (PLUSPLUS)
%     to initialize the centers.
%
%   Algorithm:: [LLOYD]
%     Use either the standard LLOYD or the accelerated
%     ELKAN algorithm for optimization.
%
%   NumRepetitions:: [1]
%     Number of time to restart k-means. The solution with minimal
%     energy is returned.
%
%   Example::
%     VL_KMEANS(X, 10, 'verbose', 'distance', 'l1', 'algorithm',
%     'elkan') clusters the data point X using 10 centers, l1
%     distance, and the Elkan's algorithm.
%
%   See also: VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
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kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d
kmeans: Elkan iter %d: restarted %d centers
kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d)
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kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd)
kmeans: Elkan: there have been %d restarts
kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d)
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initfini.c/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crti.Scall_gmon_startcrtstuff.c__CTOR_LIST____DTOR_LIST____JCR_LIST__completed.4463p.4462__do_global_dtors_auxframe_dummy__CTOR_END____DTOR_END____FRAME_END____JCR_END____do_global_ctors_aux/build/buildd/glibc-2.3.6/build-tree/i386-libc/csu/crtn.Saib.cvl_nan_darray.c.L34.L35.L36.L37.L38covdet.cvl_infinity_d_vl_covdet_compare_orientations_descendingdsift.c_vl_dsift_free_buffersgeneric.cdo_nothing_printfvl_destructorvl_constructorgetopt_long.coptend.2735optbegin.2734place.2733hikmeans.cxdeletexmeanshog.cvl_hog_prepare_buffershomkermap.chost.cikmeans.ccmp_pairimopv.cvl_infinity_f_vl_new_gaussian_fitler_f_vl_new_gaussian_fitler_dimopv_sse2.ckdtree.cvl_nan_fvl_kdtree_compare_index_entriesvl_kdforest_neighbor_heap_upvl_kdforest_search_heap_upvl_kdtree_split_heap_upvl_kdforest_search_heap_downvl_kdforest_neighbor_heap_downvl_kdtree_split_heap_downvl_kdtree_build_recursivelyvl_kdtree_calc_bounds_recursivelykmeans.c_vl_kmeans_quantize_d_vl_kmeans_quantize_f_vl_kmeans_d_qsort_sort_recursive_vl_kmeans_f_qsort_sort_recursive_vl_kmeans_refine_centers_lloyd_d.L24.L25.L26.L27.L28.L16.L17.L18.L19.L1241.L1242.L1243.L1244.L1245lbp.cmathop.c.L437.L438.L439.L440.L441.L442.L443.L444.L445.L446.L452.L453.L454.L449.L455.L456.L457.L462.L463.L464.L465.L466.L467.L468.L469.L470.L471.L477.L478.L479.L474.L480.L481.L482mathop_sse2.cmser.cpegasos.cpgm.c.L21.L20.L22.L23.L31.L30.L32.L33.L41.L40.L42.L43quickshift.crandom.cmag01.2050rodrigues.cscalespace.csift.c_vl_sift_smoothupdate_gradientslic.cdy.3616dx.3615stringop.csvmdataset.c__i686.get_pc_thunk.cxvl_aib_merge_nodes_DYNAMIC_vl_dsift_new_kernel__dso_handlevl_hikm_copy_subsetexpn_tabvl_aib_update_betavl_aib_new_Pc_vl_x86cpu_info_to_string_copyvl_aib_new_Px_vl_scalespace_fill_octavevl_aib_new_nodelist_vl_covdet_check_frame_insidevl_aib_normalize_P_vl_x86cpu_info_init__i686.get_pc_thunk.bx_GLOBAL_OFFSET_TABLE_vl_aib_calculate_informationvl_covdet_extract_patch_helpervl_svm_compute_diagnosticvl_aib_min_betavl_set_printf_funcpthread_cond_wait@@GLIBC_2.3.2vl_homogeneouskernelmap_deletevl_imconvcol_vdpthread_getspecific@@GLIBC_2.0cos@@GLIBC_2.0vl_scalespace_get_geometryvl_kmeans_refine_centersvl_hog_extractvl_covdet_get_gssfgetc@@GLIBC_2.0_vl_kernel_l2_d_vl_dsift_update_buffersvl_homogeneouskernelmap_newvl_lbp_processvl_covdet_get_num_features_vl_distance_l1_dvl_pgm_insertstrchr@@GLIBC_2.0vl_hog_rendervl_scalespace_put_imagevl_svmdataset_set_mapvl_svmdataset_deletegetopt_longvl_array_get_num_elementsvl_gaussian_eliminationvl_imgradient_polar_dvl_svmdataset_accumulator_fvl_scalespace_get_levelungetc@@GLIBC_2.0vl_dsift_new_basicvl_eval_vector_comparison_on_all_pairs_f__ctype_tolower_loc@@GLIBC_2.3vl_hog_get_glyph_sizelround@@GLIBC_2.1vl_array_newvl_array_init_vl_kernel_l1_sse2_dvl_image_distance_transform_f_vl_kernel_l2_sse2_fvlCovdetMethodsvl_refine_local_extreum_3vl_slic_segmentvl_covdet_resetstrcmp@@GLIBC_2.0vl_ikm_deletevl_covdet_get_non_extrema_suppression_thresholdvl_array_new_matrix_envelopevl_array_init_matrix_vl_distance_js_dvl_scalespace_deletefprintf@@GLIBC_2.0vl_pgm_writevl_covdet_append_featurevl_covdet_set_edge_thresholdfmod@@GLIBC_2.0vl_dsift_deletepowf@@GLIBC_2.0clock@@GLIBC_2.0frexp@@GLIBC_2.0vl_imgradient_polar_fvl_kmeans_deletevl_hog_newvl_sift_detectvl_string_basename_vl_distance_l2_sse2_dvl_sift_newoptargvl_array_new_matrix_vl_kernel_chi2_fvl_string_protocol_namevsnprintf@@GLIBC_2.0vl_ikm_trainvl_set_alloc_funcvl_scalespace_newvl_covdet_extract_laplacian_scalesvl_rand_uint32vl_ikm_newvl_covdet_get_octave_resolutionvl_covdet_delete_vl_stateopterrvl_covdet_extract_affine_shape_for_framevl_hikm_deletevl_mser_deletevl_kdforest_delete_vl_kernel_chi2_sse2_dpow@@GLIBC_2.0_vl_kernel_l1_dvl_pgm_read_newvl_static_configuration_to_string_copyvl_svmdataset_innerproduct_dvl_find_local_extrema_2vl_covdet_set_peak_threshold_vl_imconvcol_vd_sse2expf@@GLIBC_2.0vl_pgm_write_fvl_covdet_set_non_extrema_suppression_thresholdvl_kmeans_cluster_initvl_covdet_get_peak_thresholdvl_thread_specific_state_newvl_kdforest_querymalloc@@GLIBC_2.0acosf@@GLIBC_2.0vl_solve_linear_system_2vl_mser_newpthread_mutex_init@@GLIBC_2.0fscanf@@GLIBC_2.0vl_ikm_initpthread_mutex_destroy@@GLIBC_2.0vl_sift_calc_keypoint_descriptorvl_hikm_pushvl_covdet_drop_features_outsidevl_aib_deletefread@@GLIBC_2.0_vl_kernel_hellinger_dvl_tocvl_array_init_matrix_envelopevl_rand_initlog2@@GLIBC_2.1_vl_distance_js_fvl_hog_get_heightstderr@@GLIBC_2.0vl_covdet_set_octave_resolutionabort@@GLIBC_2.0vl_svmdataset_innerproduct_fvl_get_randvl_svd2_vl_distance_l2_sse2_fvl_imsmooth_fvl_imgradient_d_vl_kernel_chi2_sse2_fsysconf@@GLIBC_2.0vl_rand_seed_by_arrayvl_covdet_get_edge_threshold_vl_distance_chi2_sse2_doptind_vl_kernel_l1_sse2_fvl_string_replace_wildcardvl_aib_new_vl_distance_l2_dvl_svmpegasos_train_vl_distance_chi2_fvl_pgm_read_new_fvl_sift_calc_raw_descriptorvl_rodriguesvl_dsift_newvl_irodriguesvl_svmpegasos_train_validation_datapthread_mutex_lock@@GLIBC_2.0vl_imintegral_dvl_scalespace_get_octave_geometryvl_sift_process_next_octavevl_enumeration_get_vl_kernel_l2_sse2_dvl_kdforest_new_vl_distance_l1_fstrstr@@GLIBC_2.0strlen@@GLIBC_2.0vl_imintegral_ui32vl_hog_get_permutationvl_imintegral_fvl_mser_process_vl_kernel_chi2_dqsort@@GLIBC_2.0pthread_setspecific@@GLIBC_2.0pthread_key_create@@GLIBC_2.0atan2@@GLIBC_2.0vl_covdet_get_first_octavevl_covdet_extract_affine_shapevl_covdet_extract_laplacian_scales_for_frame_vl_kernel_hellinger_fpthread_cond_signal@@GLIBC_2.3.2log2f@@GLIBC_2.1vl_hog_get_dimension_vl_kernel_l2_fvl_sift_deletestrncmp@@GLIBC_2.0vl_covdet_get_transposed_vl_distance_l1_sse2_dvl_quickshift_deletefloor@@GLIBC_2.0vl_kdforest_query_recursivelyvl_kmeans_seed_centers_with_rand_datavl_covdet_extract_orientations__bss_startpthread_self@@GLIBC_2.0vl_covdet_extract_patch_for_framevl_get_cpu_timevl_covdet_detectvl_set_last_errorvl_array_new_envelopevl_pgm_extract_datapthread_cond_init@@GLIBC_2.3.2vl_covdet_get_cssvl_kdforest_buildexp@@GLIBC_2.0vl_lbp_deletevl_string_casei_cmpsqrtf@@GLIBC_2.0vl_covdet_put_imagevl_kmeans_set_centerspthread_key_delete@@GLIBC_2.0realloc@@GLIBC_2.0vl_find_local_extrema_3vl_covdet_set_aa_accurate_smoothingvl_lapack_dlasv2vl_kmeans_seed_centers_plus_plusprintf@@GLIBC_2.0vl_covdet_newvl_scalespace_get_level_sigmavl_solve_linear_system_3_finimemcpy@@GLIBC_2.0sqrt@@GLIBC_2.0_vl_distance_hellinger_fvl_homogeneouskernelmap_evaluate_fvl_kmeans_quantizefclose@@GLIBC_2.1vl_scalespace_new_with_geometryoptresetvl_svmdataset_newvl_enumeration_get_by_valuevl_covdet_set_transposed__cxa_finalize@@GLIBC_2.1.3vl_covdet_get_aa_accurate_smoothingvl_hikm_trainsnprintf@@GLIBC_2.0vl_hog_get_use_bilinear_orientation_assignments_vl_distance_l1_sse2_fvl_quickshift_processvl_ikm_pushvl_kmeans_new_copyvl_imgradient_fvl_sift_calc_keypoint_orientationsvl_eval_vector_comparison_on_all_pairs_dvl_imconvcoltri_dvl_pgm_get_bppvl_string_find_char_revvl_pgm_extract_headvl_lock_statevl_covdet_set_first_octave_vl_kernel_js_fvl_hog_set_use_bilinear_orientation_assignmentsexit@@GLIBC_2.0vl_scalespace_clone_structure_vl_distance_chi2_sse2_fcalloc@@GLIBC_2.0vl_sift_keypoint_initvl_hikm_newvl_pgm_get_npixels_vl_distance_chi2_d_edatafree@@GLIBC_2.0_endvl_imconvcoltri_fvl_string_parse_protocolvl_hog_deletevl_configuration_to_string_copyvl_lbp_newvl_string_lengthacos@@GLIBC_2.0memset@@GLIBC_2.0vl_svmpegasos_deletevl_sift_process_first_octavevl_covdet_get_featuresvl_homogeneouskernelmap_evaluate_dvl_svmdataset_accumulator_dpthread_cond_destroy@@GLIBC_2.3.2vl_array_deletevl_kmeans_resetvl_enumeration_get_caseivl_image_distance_transform_dfopen@@GLIBC_2.1vl_refine_local_extreum_2vl_covdet_get_num_non_extrema_suppressedvl_get_vector_comparison_function_fvl_unlock_statevl_hikm_initpthread_mutex_unlock@@GLIBC_2.0vl_string_copyvl_thread_specific_state_deletevl_quickshift_newvl_rand_seedvl_imintegral_i32pthread_equal@@GLIBC_2.0_vl_kernel_js_dvl_hog_put_imagefwrite@@GLIBC_2.0vl_mser_ell_fitvl_svmpegasos_newsin@@GLIBC_2.0vl_hog_put_polar_fieldvl_dsift_process_Jv_RegisterClassesvl_imsmooth_dvl_string_copy_subvl_aib_processvl_scalespace_clonevl_covdet_get_laplacian_scales_statisticsvl_ikm_init_randvl_get_version_stringlog@@GLIBC_2.0vl_kmeans_new_vl_distance_hellinger_dvl_array_init_envelopevl_ikm_push_oneoptopt@@GLIBC_2.0vl_ticvl_get_vector_comparison_function_dvl_covdet_extract_orientations_for_frame_vl_kernel_l1_fvl_hog_get_width_vl_imconvcol_vf_sse2_vl_distance_l2_fvl_array_dealloc__gmon_start__ceil@@GLIBC_2.0ldexp@@GLIBC_2.0vl_ikm_init_rand_datavl_imconvcol_vfvlfeat-0.9.16/toolbox/mex/mexglx/vl_aib.mexglx000077500000000000000000000760151203326130700213460ustar00rootroot00000000000000ELFp
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%X_jqzQrkzd,r&-i)SS6lThe option name is not a string (argument number %d)The option name is too long (argument number %d)Option '%s' requires an argument.I must be a matrix of class SINGLE.METHOD is not a supported detection method.DESCRIPTOR is not a supported descriptor.ESTIMATEAFFINESHAPE must be a logical scalar value.ESTIMATEORIENTATION must be a logical scalar value.DOUBLEIMAGE must be a logical scalar value.OCTAVERESOLUTION must be an integer not smaller than 1.EDGETHRESHOLD must be a real not smaller than 1.PEAKTHRESHOLD must be a non-negative real.PATCHRELATIVESMOOTHING must be a non-negative real.PATCHRELATIVEEXTENT must be a posiive real.PATCHRESOLUTION must be a positive integer.FRAMES must be a palin matrix.FRAMES of dimensions %d are not recognisedvl_covdet: doubling image: %s
vl_covdet: sourcing %d frames
FRAMES(:,%d) does not have a PSD covariance.vl_covdet: peak threshold: %g, edge threshold: %g
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vl_covdet: kept %d inside the boundary margin (%g)
vl_covdet: estimating affine shape for %d features
vl_covdet: %d features passed affine adaptation
vl_covdet: estimating orientations for %d features
vl_covdet: %d features after estimating orientations
vl_covdet: descriptors: type=patch, resolution=%d, extent=%g, smoothing=%g
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vl_covdet: sourcing %d frames
FRAMES(:,%d) does not have a PSD covariance.vl_covdet: detector: %s
vl_covdet: peak threshold: %g, edge threshold: %g
vl_covdet: %d features suppressed as duplicate (threshold: %g)
vl_covdet: Laplacian scales:%d with %d scales;
vl_covdet: detected %d features
vl_covdet: kept %d inside the boundary margin (%g)
vl_covdet: estimating affine shape for %d features
vl_covdet: %d features passed affine adaptation
vl_covdet: estimating orientations for %d features
vl_covdet: %d features after estimating orientations
vl_covdet: descriptors: type=patch, resolution=%d, extent=%g, smoothing=%g
vl_covdet: descriptors: type=sift, resolution=%d, extent=%g, smoothing=%g
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vl_pegasos: BiasMultiplier = %g
vl_pegasos: MaxIterations = %d
vl_pegasos: permutation size = %d
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vl_siftdescriptor:   magnif                = %g
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vl_siftdescriptor:   float descriptor      = %d
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no=%s: option requires an argument -- %s
%s: illegal option -- %s
%s: illegal option -- %c
%s: option requires an argument -- %c
hikmeans: branch at depth %d: %6.1f %% completed
X64, little_endianPOSIX_threads, SSE2GNU C %d LP64%s, %s, %s SSE42 SSE41 SSE3 SSE2 SSE MMX%s%s%s%s%s%s%sikm: Elkan algorithm: total iterations: %d
ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f)
ikm: training with %d data
ikm: %d clusters
kmeans: Lloyd iter %d: energy = %g
kmeans: Lloyd terminating because maximum number of iterations reached
kmeans: Lloyd terminating because the algorithm fully converged
kmeans: Lloyd iter %d: restarted %d centers
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TLOSS error
SING error
DOMAIN error
R6034
An application has made an attempt to load the C runtime library incorrectly.
Please contact the application's support team for more information.
R6033
- Attempt to use MSIL code from this assembly during native code initialization
This indicates a bug in your application. It is most likely the result of calling an MSIL-compiled (/clr) function from a native constructor or from DllMain.
R6032
- not enough space for locale information
R6031
- Attempt to initialize the CRT more than once.
This indicates a bug in your application.
R6030
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R6028
- unable to initialize heap
R6027
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R6026
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R6025
- pure virtual function call
R6024
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R6019
- unable to open console device
R6018
- unexpected heap error
R6017
- unexpected multithread lock error
R6016
- not enough space for thread data

This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.
R6009
- not enough space for environment
R6008
- not enough space for arguments
R6002
- floating point support not loaded
Microsoft Visual C++ Runtime Library

...Runtime Error!

Program: Microsoft.VC90.CRT.manifestWinSxS\\WinSxS\msvcr90.dll\MSCoree.dllPGORT90.dllFindActCtxSectionStringWkernel32.dllEncodePointerKERNEL32.DLLDecodePointerFlsFreeFlsSetValueFlsGetValueFlsAlloc...*?...*?.com.bat.cmd.exe./\?*.com.bat.cmd.exe./\?*=SystemRoot.\\PATHcmd.exe/cCOMSPEC=SystemRoot.\PATHcmd.exe/cCOMSPECccsUTF-8UTF-16LEUNICODE /c TMPccsUTF-8UTF-16LEUNICODE /c TMPSunMonTueWedThuFriSatJanFebMarAprMayJunJulAugSepOctNovDecTZ(null)(null)EEE50P( 8PX700WP  `h````xpxxxxEEE00P('8PW700PP (`h`hhhxppwppHH:mm:ssdddd, MMMM dd, yyyyMM/dd/yyPMAMDecemberNovemberOctoberSeptemberAugustJulyJuneAprilMarchFebruaryJanuaryDecNovOctSepAugJulJunMayAprMarFebJanSaturdayFridayThursdayWednesdayTuesdayMondaySundaySatFriThuWedTueMonSuna/pam/pmbad allocationTx*Wx*WxUnknown exceptionDTxWx*WxTx*Wx*WxTx*Wx*Wxbad castbad typeid,TxTWxtTxWx*Wx|WxTxnWx*Wxbad exceptioncsm Access violation - no RTTI data!Bad read pointer - no RTTI data!Attempted a typeid of NULL pointer!Bad dynamic_cast! Complete Object Locator' Class Hierarchy Descriptor' Base Class Array' Base Class Descriptor at ( Type Descriptor'`local static thread guard'`managed vector copy constructor iterator'`vector vbase copy constructor iterator'`vector copy constructor iterator'`dynamic atexit destructor for '`dynamic initializer for '`eh vector vbase copy constructor iterator'`eh vector copy constructor iterator'`managed vector destructor iterator'`managed vector constructor iterator'`placement delete[] closure'`placement delete closure'`omni callsig' delete[] new[]`local vftable constructor closure'`local vftable'`RTTI`EH`udt returning'`copy constructor closure'`eh vector vbase constructor iterator'`eh vector destructor iterator'`eh vector constructor iterator'`virtual displacement map'`vector vbase constructor iterator'`vector destructor iterator'`vector constructor iterator'`scalar deleting destructor'`default constructor closure'`vector deleting destructor'`vbase destructor'`string'`local static guard'`typeof'`vcall'`vbtable'`vftable'^=|=&=<<=>>=%=/=-=+=*=||&&|^~(),>=><=<%/->*&+---++*->operator[]!===!<<>> delete new__unaligned__restrict__ptr64__clrcall__fastcall__thiscall__stdcall__pascal__cdecl__based($Rx$Rx$Rx$Rx$Rx$Rx$Rx$Rxx$Rxl$RxRxRxRxRx`RxDRxd$Rx\$RxRxX$RxT$RxP$RxL$RxH$RxD$Rx8$Rx4$Rx0$Rx,$Rx($Rx$$Rx $Rx$Rx$Rx$Rx$Rx$Rx$Rx$Rx$Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rx#Rxx#Rxl#RxX#Rx8#Rx#Rx"Rx"Rx"Rx"Rxx"RxT"Rx4"Rx"Rx!Rx!Rx!Rx!Rx!Rx!Rx!Rx!Rx|!Rx`!Rx@!Rx!Rx Rx Rx Rx Rx\ Rx8 Rx RxRxRxRxWxWxWx[WxvWxWxWxWxWxrWxWxWxWxWxWx ?? {flat}{for `non-type-template-parameterunsigned long int short char void,,... throw()[s `template-parameter'NULLcli::pin_ptr<cli::array<void ''`anonymous namespace'`generic-type-template-parameter-::`unknown ecsu'union struct class enum coclass cointerface ) extern "C" [thunk]:public: protected: private: virtual static `template static data member destructor helper'`template static data member constructor helper'`local static destructor helper'`adjustor{`vtordisp{`vtordispex{ }'}' const volatile CV: volatile volatileconstsigned doubleUNKNOWN__int128boolwchar_t__int64__int16__int32__int8__w64 floatlongintshortchar__GLOBAL_HEAP_SELECTED__MSVCRT_HEAP_SELECTTx:Xx*WxHeapQueryInformationSetThreadStackGuarantee


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: 
(Press Retry to debug the application - JIT must be enabled)For information on how your program can cause an assertion
failure, see the Visual C++ documentation on assertsExpression: Line: File: Program: Assertion failed!: 

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(%5d,%5d)=%5d dE: %10.3g I: %6.4g H: %6.4g updt: %5d
floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2DoGHessianHessianLaplaceHarrisLaplaceMultiscaleHessianMultiscaleHarrislpxfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int640.9.16yesnoVLFeat version %s
    Static config: %s
    %u CPU(s): %s
    Debug: %s
floatdoubleint8int16int32int64int8int16int32int64@=%s: option requires an argument -- %s
%s: illegal option -- %s
%s: illegal option -- %c
%s: option requires an argument -- %c
floatdoubleint8int16int32int64int8int16int32int64hikmeans: branch at depth %d: %6.1f %% completed
floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64 SSE42 SSE41 SSE3 SSE2 SSE MMX%s%s%s%s%s%s%sIX86, little_endianWindows_threads, SSE2Microsoft Visual C++ %d ILP32%s, %s, %sfloatdoubleint8int16int32int64int8int16int32int64ikm: training with %d data
ikm: %d clusters
ikm: Elkan algorithm: total iterations: %d
ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f)
floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2kmeans: Lloyd iter %d: energy = %g
kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd)
kmeans: Lloyd terminating because maximum number of iterations reached
kmeans: Lloyd terminating because the algorithm fully converged
kmeans: Lloyd iter %d: restarted %d centers
kmeans: Elkan iter 0: energy = %g, dist. calc. = %d
kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d
kmeans: Elkan iter %d: restarted %d centers
kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d)
kmeans: Elkan terminating because maximum number of iterations reached
kmeans: Elkan terminating because the algorithm fully converged
kmeans: Elkan: there have been %d restarts
kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d)
kmeans: Lloyd iter %d: energy = %g
kmeans: Lloyd terminating because maximum number of iterations reached
kmeans: Lloyd terminating because the algorithm fully converged
kmeans: Lloyd iter %d: restarted %d centers
kmeans: Elkan iter 0: energy = %g, dist. calc. = %d
kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d
kmeans: Elkan iter %d: restarted %d centers
kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d)
kmeans: Elkan terminating because maximum number of iterations reached
kmeans: Elkan terminating because the algorithm fully converged
kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd)
kmeans: Elkan: there have been %d restarts
kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d)
kmeans: repetition %d of %d
kmeans: K-means initialized in %.2f s
kmeans: K-means termineted in %.2f s with energy %g
floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2%d%d%d %udInvalid PGM dataP5
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vl_kdforestbuild: number of trees: %d
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Unknown thresholding method %smeanmedianTHRESHOLDMETHOD must be a stringNUMTREES must be not smaller than oneDATA must be either SINGLE or DOUBLEDATA must be a real matrix Too many output argumentsAt least one argument requiredP@@H0@`6#\pl!"#7907:0P8:07:<0T7=0=<<<<<|<^<B<.<<;;;;;;;;v;`;N;>;0;";;;::::::::99888z888999999l8t9b9F9:9(99988&:::L:b:x::#mxIsComplexGmxIsNumericmxGetNumberOfElementsZmxIsSparsemxGetNmxGetMmxGetDimensions_700mxGetNumberOfDimensions_700mxIsCharmxGetPrymxCreateDoubleMatrix_700mxGetString_700mxGetDatamxCreateNumericMatrix_700mxSetField_700mxCreateStructArray_700mxGetScalarmxGetClassIDgmxMallocxmxReallocMmxCallocmxFreelibmx.dllFmexErrMsgIdAndTxtYmexPrintflibmex.dllvl_kdforest_deletevl_kdforest_buildvl_kdforest_newvl_string_casei_cmpvl_set_printf_funcvl_set_alloc_funcvl.dll
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vl_kdforestquery: number of comparisons per query: %.3f
Avl_kdforestquery: max num of comparisons per query: %d
vl_kdforestquery: number of neighbors per query: %d
vl_kdforestquery: number of queries: %d
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kmeans: num. centers = %d
kmeans: num. data points = %d
kmeans: data dimension = %d
kmeans: distance = %s
kmeans: data type = %s
kmeans: NumRepetitions = %d
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LloydElkanANNNUMREPETITIONS must be larger than or equal to 1.?NUMREPETITIONS must be a scalar.Invalid value %s for DISTANCEDISTANCE argument too long.DISTANCE must be a string.Invalid value %s for INITIALISATION.randsel++plusplusINITIALIZATION argument too long.INITLAIZATION must be a string.Invalid value %s for ALGORITHMannelkanlloydALGORITHM argument too long.ALGORITHM must be a string.MAXNUMITERATIONS must be a non-negative integer scalarNUMCENTERS must be a positive integer not greater than the number of data.SIZE(DATA,1) is zeroDATA must be of class SINGLE or DOUBLEAt least two arguments required.@@H`@P8e&6"""$%%9;09;08:.<09l<<0D9>0>>>r>X><>(>
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vl_sift: will source frames? yes (%d read)
vl_sift:   float descriptor      = %d
vl_sift:   window size           = %g
vl_sift:   norm thresh           = %g
vl_sift:   peak thresh           = %g
vl_sift:   edge thresh           = %g
vl_sift:   first octave (o_min)  = %d
vl_sift:   levels       (S)      = %d
vl_sift:   octaves      (O)      = %d
vl_sift: filter settings:
'Frames' must be a 4 x N matrix.'WindowSize' must be a non-negative real.'Magnif' must be a non-negative real.'NormThresh' must be a non-negative real.'PeakThresh' must be a non-negative real.'EdgeThresh' must be not smaller than 1.'FirstOctave' must be an integer'Levels' must be a positive integer.'Octaves' must be a positive integer.I must be a matrix of class SINGLEOne argument required.PQHP8(#w##$%F&'':<0|:<0:=1 :><09\@0>>>>>>~>p>b>V>D>4>,>>>=====<<<~;;;t;;;;j;\;;;x<l<`<T<H<><*<<D;6;(;<===l=N=<=$=<<<mxGetClassID#mxIsComplexGmxIsNumericmxGetNumberOfElementsZmxIsSparsemxGetNmxGetMmxGetDimensions_700mxGetNumberOfDimensions_700mxIsCharmxGetString_700mxDestroyArraymxSetDatamxSetDimensions_700mxSetPrmxCreateNumericArray_700mxDuplicateArraymxGetPrmxGetDatagmxMallocxmxReallocMmxCallocmxFreelibmx.dllFmexErrMsgIdAndTxtGmexErrMsgTxtYmexPrintflibmex.dllvl_sift_deletevl_sift_calc_keypoint_descriptorvl_sift_calc_keypoint_orientationsvl_sift_keypoint_initvl_sift_detectvl_sift_process_next_octavevl_sift_process_first_octavevl_sift_newvl_set_printf_funcvl_set_alloc_funcvl.dll
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vl_svmpegasos: elapsed time = %f
vl_svmpegasos: Iteration = %d
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vl_svmpegasos: MaxIterations = %d
vl_svmpegasos: BiasMultiplier = %g
vl_svmpegasos: Lambda = %g
VALIDATIONDATA dimension must be the same of DATA dimension.VALIDATIONDATA type must be the same of DATA type.ENERGYFREQ is not a plain scalar.DIAGNOSTICSFUNCTION must be  a function handle.BIASLEARNINGRATE must be double.BIASLEARNINGRATE is not a plain scalar.Permutation indexes out of bounds: PERMUTATION(%d) = %d > %d = number of data samples.PERMUTATION is not a UINT32 vector.STARTINGBIAS is not a plain scalar.STARTINGMODEL is not a real vector.STARTINGITERATION is smaller than 1.STARTINGITERATION is not a plain scalar.EPSILON is negative.EPSILON is not a plain scalar.MAXITERATIONS is negative.MAXITERATIONS is not a plain scalar.BIASMULTIPLIER is not a plain scalar.LAMBDA is not a plain scalar.At least three arguments are required.PQHP;.)~))++M,--\=?0H=@0=A1<,B<0<D0JC`ChCCCCCCCD2DBDXDnDCBBBBBBpB`BXBJB8B"BBBACC&C0CB@???X>@>>2>>>>>>|>>>>$>?????h?\?J?0??f>?AAAAAFA(AA@@@@@f@@@(@@fAmxGetClassID#mxIsComplexGmxIsNumericmxGetNumberOfElementsZmxIsSparsemxGetDimensions_700mxGetNumberOfDimensions_700mxIsCharmxGetNmxGetMmxGetString_700mxGetDatamxGetField_700[mxIsStructmxGetPrmxSetField_700mxCreateNumericMatrix_700mxCreateStructArray_700mxDestroyArraymxIsClassmxCreateNumericArray_700mxDuplicateArraygmxMallocxmxReallocMmxCallocmxFreelibmx.dllFmexErrMsgIdAndTxtYmexPrintf@mexCallMATLABGmexErrMsgTxtlibmex.dll#_vl_statevl_svmdataset_set_mapvl_homogeneouskernelmap_evaluate_dvl_homogeneouskernelmap_newvl_string_casei_cmpvl_svmpegasos_deletevl_svmdataset_deletevl_homogeneouskernelmap_deletevl_svmpegasos_train_validation_datavl_svmpegasos_trainvl_svmdataset_accumulator_fvl_svmdataset_innerproduct_fvl_svmdataset_accumulator_dvl_svmdataset_innerproduct_dvl_svmpegasos_newvl_svmdataset_newvl_set_printf_funcvl_set_alloc_funcvl.dll
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SING error
DOMAIN error
R6034
An application has made an attempt to load the C runtime library incorrectly.
Please contact the application's support team for more information.
R6033
- Attempt to use MSIL code from this assembly during native code initialization
This indicates a bug in your application. It is most likely the result of calling an MSIL-compiled (/clr) function from a native constructor or from DllMain.
R6032
- not enough space for locale information
R6031
- Attempt to initialize the CRT more than once.
This indicates a bug in your application.
R6030
- CRT not initialized
R6028
- unable to initialize heap
R6027
- not enough space for lowio initialization
R6026
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R6025
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R6024
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R6019
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R6018
- unexpected heap error
R6017
- unexpected multithread lock error
R6016
- not enough space for thread data

This application has requested the Runtime to terminate it in an unusual way.
Please contact the application's support team for more information.
R6009
- not enough space for environment
R6008
- not enough space for arguments
R6002
- floating point support not loaded
Microsoft Visual C++ Runtime Library

...Runtime Error!

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floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2DoGHessianHessianLaplaceHarrisLaplaceMultiscaleHessianMultiscaleHarrispxfloatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int640.9.16yesnoVLFeat version %s
    Static config: %s
    %I64u CPU(s): %s
    Debug: %s
floatdoubleint8int16int32int64int8int16int32int64@=%s: option requires an argument -- %s
%s: illegal option -- %s
%s: illegal option -- %c
%s: option requires an argument -- %c
floatdoubleint8int16int32int64int8int16int32int64hikmeans: branch at depth %d: %6.1f %% completed
floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64 SSE42 SSE41 SSE3 SSE2 SSE MMX%s%s%s%s%s%s%sX64, little_endianWindows_threads, SSE2Microsoft Visual C++ %d LP64%s, %s, %sfloatdoubleint8int16int32int64int8int16int32int64ikm: training with %d data
ikm: %d clusters
ikm: Elkan algorithm: total iterations: %d
ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f)
floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2kmeans: Lloyd iter %d: energy = %g
kmeans: Lloyd terminating because maximum number of iterations reached
kmeans: Lloyd terminating because the algorithm fully converged
kmeans: Lloyd iter %d: restarted %d centers
kmeans: Elkan iter 0: energy = %g, dist. calc. = %d
kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d
kmeans: Elkan iter %d: restarted %d centers
kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d)
kmeans: Elkan terminating because maximum number of iterations reached
kmeans: Elkan terminating because the algorithm fully converged
kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd)
kmeans: Elkan: there have been %d restarts
kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d)
kmeans: Lloyd iter %d: energy = %g
kmeans: Lloyd terminating because maximum number of iterations reached
kmeans: Lloyd terminating because the algorithm fully converged
kmeans: Lloyd iter %d: restarted %d centers
kmeans: Elkan iter 0: energy = %g, dist. calc. = %d
kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d
kmeans: Elkan iter %d: restarted %d centers
kmeans: Elkan iter %d: total dist. calc. per type: UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d)
kmeans: Elkan terminating because maximum number of iterations reached
kmeans: Elkan terminating because the algorithm fully converged
kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd)
kmeans: Elkan: there have been %d restarts
kmeans: Elkan: total dist. calc. per type: init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), intra_center: %.1f%% (%d), new_center: %.1f%% (%d), finalize: %.1f%% (%d)
kmeans: repetition %d of %d
kmeans: K-means initialized in %.2f s
kmeans: K-means termineted in %.2f s with energy %g
floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2floatdoubleint8int16int32int64int8int16int32int64l1l2chi2kl1kl2kchi2%d%d%d %udInvalid PGM dataP5
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PADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDINGPADDINGXXPADDING0ࡘ@vlfeat-0.9.16/toolbox/mexutils.h000066400000000000000000000647411203326130700166120ustar00rootroot00000000000000/** @file    mexutils.h
 ** @brief   MEX utilities
 ** @author  Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef MEXUTILS_H
#define MEXUTILS_H

#include"mex.h"
#include
#include
#include
#include
#include
#include
#include

#ifdef VL_COMPILER_MSC
#define snprintf _snprintf
#define vsnprintf _vsnprintf
#endif

#if (! defined(MX_API_VER) || (MX_API_VER < 0x07030000)) && \
  (! defined(HAVE_OCTAVE))
typedef vl_uint32 mwSize ;
typedef vl_int32 mwIndex ;
#endif

/** @brief Access MEX input argument */
#undef IN
#define IN(x) (in[IN_ ## x])

/** @brief Access MEX output argument */
#undef OUT
#define OUT(x) (out[OUT_ ## x])

#ifdef HAVE_OCTAVE
static void *
mxReallocOctaveWorkaround(void * ptr, size_t size)
{
  /*  mexPrintf("fixed realloc\n") ; */
  if (ptr) {
    return mxRealloc(ptr, size) ;
  } else {
    return mxMalloc(size) ;
  }
}
#define mxRealloc mxReallocOctaveWorkaround
static int
mxSetDimensionsOctaveWorkaround(mxArray * array, const mwSize  *dims, int ndims)
{
  mwSize * dims_ = mxMalloc(sizeof(mwSize)*ndims) ;
  int i ;
  for (i = 0 ; i < ndims ; ++i) dims_[i] = dims[i] ;
  mxSetDimensions(array,dims_,ndims) ;
  return 0 ;
}
#define mxSetDimensions mxSetDimensionsOctaveWorkaround

#endif

/** @brief Setup VLFeat to be used in a MEX file
 **
 ** This makes VLFeat use MATLAB version of the memory allocation and
 ** logging functions.
 **/

#define VL_USE_MATLAB_ENV \
  vl_set_alloc_func (mxMalloc, mxRealloc, mxCalloc, mxFree) ; \
  vl_set_printf_func ((printf_func_t)mexPrintf) ;


/** @file mexutils.h

 This header file provides helper functions for writing MATLAB MEX
 files.

 - @ref mexutils-env "VLFeat environment"
 - @ref mexutils-array-test "Array tests"
 - @ref mexutils-options "Parsing options"

 @section mexutils-env VLFeat environment

 When the VLFeat DLL is linked to a MATLAB MEX files, at run time the
 MEX file must configure VLFeat to use MATLAB memory allocation and
 logging functions. This can be obtained by calling the macro
 ::VL_USE_MATLAB_ENV as the first line of each MEX file which is
 linked to the VLFeat DLL.

 @section mexutils-array-test Array tests

 MATLAB supports a variety of array types. Most MEX file arguments are
 restricted to a few types and must be properly checked at run time.
 @ref mexutils.h provides some helper functions to make it simpler to
 check such arguments. MATLAB basic array types are:

 - Numeric array:
   @c mxDOUBLE_CLASS, @c mxSINGLE_CLASS,
   @c mxINT8_CLASS, @c mxUINT8_CLASS,
   @c mxINT16_CLASS, @c mxUINT16_CLASS,
   @c mxINT32_CLASS, @c mxUINT32_CLASS. Moreover:
   - all such types have a @e real component
   - all such types may have a @e imaginary component
   - @c mxDOUBLE_LCASS arrays with two dimensions can be @e sparse.
 - Logical array (@c mxLOGICAL_CLASS).
 - Character array (@c mxCHAR_CLASS).

 The other MATLAB array types are:

 - Struct array (@c mxSTRUCT_CLASS).
 - Cell array (@c mxCELL_CLASS).
 - Custom class array (@c mxCLASS_CLASS).
 - Unkown type array (@c mxUNKNOWN_CLASS).

 VLFeat defines a number of common classes of arrays and corresponding
 tests.

 - Scalar array is a non-sparse array with exactly one element.
   Note that the array may have an arbitrary number of dimensions, and
   be of any numeric or other type. All dimensions are singleton
   (which is implied by having exactly one element). Use ::vlmxIsScalar
   to test if an array is scalar.

 - Vector array is a non-sparse array which is either empty
   (empty vector) or has at most one non-singleton dimension. The
   array can be of any numeric or other type. The elements of such a
   MATLAB array are stored as a plain C array with a number of
   elements equal to the number of elements in the array (obtained
   with @c mxGetNumberOfElements). Use ::vlmxIsVector to test if an
   array is a vector.

 - Matrix array is a non-sparse array for which all dimensions
   beyond the first two are singleton, or a non-sparse array which is
   empty and for which at least one of the first two dimensions is
   zero. The array can be of any numeric or other type.  The
   non-singleton dimensions can be zero (empty matrix), one, or
   more. The element of such a MATLAB array are stored as a C array in
   column major order and its dimensions can be obtained by @c mxGetM
   and @c mxGetN.  Use ::vlmxIsMatrix to test if an array is a matrix.

 - Real array is a numeric array (as for @c mxIsNumeric)
   without a complex component. Use ::vlmxIsReal to check if an array
   is real.

 - Use ::vlmxIsOfClass to check if an array is of a prescribed
   (storage) class, such as @c mxDOUBLE_CLASS.

 - Plain scalar, vector, and matrix are a scalar, vector, and
   matrix arrays which are real and of class @c
   mxDOUBLE_CLASS.  Use ::vlmxIsPlainScalar, ::vlmxIsPlainVector and
   ::vlmxIsPlainMatrix to check this.

 @section mexutils-options Parsing options

 It is common to pass optional arguments to a MEX file as option
 type-value pairs. Here type is a string identifying the option and
 value is a MATLAB array specifing its value. The function
 ::vlmxNextOption  can be used to simplify parsing a list of such
 arguments (similar to UNIX @c getopt). The functions ::vlmxError
 and ::vlmxWarning are shortcuts to specify VLFeat formatted errors.

 **/

/* these attributes suppress undefined symbols warning with GCC */
#ifdef VL_COMPILER_GNUC
#if (! defined(HAVE_OCTAVE))
EXTERN_C void __attribute__((noreturn))
mexErrMsgIdAndTxt (const char * identifier, const char * err_msg, ...) ;
#else
extern void __attribute__((noreturn))
mexErrMsgIdAndTxt (const char *id, const char *s, ...);
#endif
#endif

#define MEXUTILS_RAISE_HELPER_A \
  char const * errorString ; \
  char formattedErrorId [512] ; \
  char formattedErrorMessage [1024] ; \
  \
  switch (errorId) { \
    case vlmxErrAlloc : errorString = "outOfMemory" ; break ; \
    case vlmxErrInvalidArgument : errorString = "invalidArgument" ; break ; \
    case vlmxErrNotEnoughInputArguments : errorString = "notEnoughInputArguments" ; break ; \
    case vlmxErrTooManyInputArguments : errorString = "tooManyInputArguments" ; break ; \
    case vlmxErrNotEnoughOutputArguments : errorString = "notEnoughOutputArguments" ; break ; \
    case vlmxErrTooManyOutputArguments : errorString = "tooManyOutputArguments" ; break ; \
    case vlmxErrInvalidOption : errorString = "invalidOption" ; break ; \
    case vlmxErrInconsistentData : errorString = "inconsistentData" ; break ; \
    default : errorString = "undefinedError" ; break ; \
  } \
  \
  if (! errorMessage) { \
    switch (errorId) { \
      case vlmxErrAlloc: errorMessage = "Out of memory." ; break ; \
      case vlmxErrInvalidArgument: errorMessage = "Invalid argument." ; break ; \
      case vlmxErrNotEnoughInputArguments: errorMessage = "Not enough input arguments." ; break ; \
      case vlmxErrTooManyInputArguments: errorMessage = "Too many input arguments." ; break ; \
      case vlmxErrNotEnoughOutputArguments: errorMessage = "Not enough output arguments." ; break ; \
      case vlmxErrTooManyOutputArguments: errorMessage = "Too many output arguments." ; break ; \
      case vlmxErrInconsistentData: errorMessage = "Inconsistent data." ; break ; \
      case vlmxErrInvalidOption: errorMessage = "Invalid option." ; break ; \
      default: errorMessage = "Undefined error message." ; \
    } \
  }

#ifdef VL_COMPILER_LCC
#define MEXUTILS_RAISE_HELPER_B \
{ \
  va_list args ; \
  va_start(args, errorMessage) ; \
  sprintf(formattedErrorId, \
          "vl:%s", errorString) ; \
  vsprintf(formattedErrorMessage, \
           errorMessage, args) ; \
  va_end(args) ; \
}
#else
#define MEXUTILS_RAISE_HELPER_B \
{ \
  va_list args ; \
  va_start(args, errorMessage) ; \
  snprintf(formattedErrorId, \
           sizeof(formattedErrorId)/sizeof(char), \
           "vl:%s", errorString) ; \
  vsnprintf(formattedErrorMessage, \
            sizeof(formattedErrorMessage)/sizeof(char), \
            errorMessage, args) ; \
  va_end(args) ; \
}
#endif

#define MEXUTILS_RAISE_HELPER MEXUTILS_RAISE_HELPER_A MEXUTILS_RAISE_HELPER_B

/** @{
 ** @name Error handling
 **/

/** @brief VLFeat MEX errors */
typedef enum _VlmxErrorId {
  vlmxErrAlloc = 1,
  vlmxErrInvalidArgument,
  vlmxErrNotEnoughInputArguments,
  vlmxErrTooManyInputArguments,
  vlmxErrNotEnoughOutputArguments,
  vlmxErrTooManyOutputArguments,
  vlmxErrInvalidOption,
  vlmxErrInconsistentData
} VlmxErrorId ;


/** @brief Raise a MEX error with VLFeat format
 ** @param errorId error ID string.
 ** @param errorMessage error message C-style format string.
 ** @param ... format string arguments.
 **
 ** The function internally calls @c mxErrMsgTxtAndId, which causes
 ** the MEX file to abort.
 **/

#if defined(VL_COMPILER_GNUC) & ! defined(__DOXYGEN__)
static void __attribute__((noreturn))
#else
static void
#endif
vlmxError (VlmxErrorId errorId, char const * errorMessage, ...)
{
  MEXUTILS_RAISE_HELPER ;
  mexErrMsgIdAndTxt (formattedErrorId, formattedErrorMessage) ;
}

/** @brief Raise a MEX warning with VLFeat format
 ** @param errorId error ID string.
 ** @param errorMessage error message C-style format string.
 ** @param ... format string arguments.
 **
 ** The function internally calls @c mxWarnMsgTxtAndId.
 **/

static void
vlmxWarning (VlmxErrorId errorId, char const * errorMessage, ...)
{
  MEXUTILS_RAISE_HELPER ;
  mexWarnMsgIdAndTxt (formattedErrorId, formattedErrorMessage) ;
}

/** @} */

/** @name Check for array attributes
 ** @{ */

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is of a prescribed class
 ** @param array MATLAB array.
 ** @param classId prescribed class of the array.
 ** @return ::VL_TRUE if the class is of the array is of the prescribed class.
 ** @sa @ref mexutils-array-test
 **/

VL_INLINE vl_bool
vlmxIsOfClass (mxArray const * array, mxClassID classId)
{
  return mxGetClassID (array) == classId ;
}

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is real
 ** @param array MATLAB array.
 ** @return ::VL_TRUE if the array is real.
 ** @sa @ref mexutils-array-test
 **/

VL_INLINE vl_bool
vlmxIsReal (mxArray const * array)
{
  return mxIsNumeric (array) && ! mxIsComplex (array) ;
}

/** @} */

/** @name Check for scalar, vector and matrix arrays
 ** @{ */

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is scalar
 ** @param array MATLAB array.
 ** @return ::VL_TRUE if the array is scalar.
 ** @sa @ref mexutils-array-test
 **/

VL_INLINE vl_bool
vlmxIsScalar (mxArray const * array)
{
  return (! mxIsSparse (array)) && (mxGetNumberOfElements (array) == 1)  ;
}

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is a vector.
 ** @param array MATLAB array.
 ** @param numElements number of elements (negative for any).
 ** @return ::VL_TRUE if the array is a vecotr of the prescribed size.
 ** @sa @ref mexutils-array-test
 **/

static vl_bool
vlmxIsVector (mxArray const * array, vl_index numElements)
{
  vl_size numDimensions = (unsigned) mxGetNumberOfDimensions (array) ;
  mwSize const * dimensions = mxGetDimensions (array) ;
  vl_uindex di ;

  /* check that it is not sparse */
  if (mxIsSparse (array)) {
    return VL_FALSE ;
  }

  /* check that the number of elements is the prescribed one */
  if ((numElements >= 0) && ((unsigned) mxGetNumberOfElements (array) !=
                             (unsigned) numElements)) {
    return VL_FALSE ;
  }

  /* ok if empty */
  if (mxGetNumberOfElements (array) == 0) {
    return VL_TRUE ;
  }

  /* find first non-singleton dimension */
  for (di = 0 ; (dimensions[di] == 1) && di < numDimensions ; ++ di) ;

  /* skip it */
  if (di < numDimensions) ++ di ;

  /* find next non-singleton dimension */
  for (; (dimensions[di] == 1) && di < numDimensions ; ++ di) ;

  /* if none found, then ok */
  return di == numDimensions ;
}

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is a matrix.
 ** @param array MATLAB array.
 ** @param M number of rows (negative for any).
 ** @param N number of columns (negative for any).
 ** @return ::VL_TRUE if the array is a matrix of the prescribed size.
 ** @sa @ref mexutils-array-test
 **/

static vl_bool
vlmxIsMatrix (mxArray const * array, vl_index M, vl_index N)
{
  vl_size numDimensions = (unsigned) mxGetNumberOfDimensions (array) ;
  mwSize const * dimensions = mxGetDimensions (array) ;
  vl_uindex di ;

  /* check that it is not sparse */
  if (mxIsSparse (array)) {
    return VL_FALSE ;
  }

  /* check that the number of elements is the prescribed one */
  if ((M >= 0) && ((unsigned) mxGetM (array) != (unsigned) M)) {
    return VL_FALSE;
  }
  if ((N >= 0) && ((unsigned) mxGetN (array) != (unsigned) N)) {
    return VL_FALSE;
  }

  /* ok if empty and either M = 0 or N = 0 */
  if ((mxGetNumberOfElements (array) == 0) && (mxGetM (array) == 0 || mxGetN (array) == 0)) {
    return VL_TRUE ;
  }

  /* ok if any dimension beyond the first two is singleton */
  for (di = 2 ; ((unsigned)dimensions[di] == 1) && di < numDimensions ; ++ di) ;
  return di == numDimensions ;
}


/** ------------------------------------------------------------------
 ** @brief Check if the MATLAB array has the specified dimensions.
 ** @param array array to check.
 ** @param numDimensions number of dimensions.
 ** @param dimensions dimensions.
 ** @return true the test succeeds.
 **
 ** The test is true if @a numDimensions < 0. If not, it is false if
 ** the array has not @a numDimensions. Otherwise it is true is @a
 ** dimensions is @c NULL or if each entry of @a dimensions is
 ** either negative or equal to the corresponding array dimension.
 **/

static vl_bool
vlmxIsArray (mxArray const * array, vl_index numDimensions, vl_index* dimensions)
{
  if (numDimensions >= 0) {
    vl_index d ;
    mwSize const * actualDimensions = mxGetDimensions (array) ;

    if ((unsigned) mxGetNumberOfDimensions (array) != (unsigned) numDimensions) {
      return VL_FALSE ;
    }

    if(dimensions != NULL) {
      for(d = 0 ; d < numDimensions ; ++d) {
        if (dimensions[d] >= 0 && (unsigned) dimensions[d] != (unsigned) actualDimensions[d])
          return VL_FALSE ;
      }
    }
  }
  return VL_TRUE ;
}

/** @} */

/** @name Check for plain arrays
 ** @{ */

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is plain
 ** @param array MATLAB array.
 ** @return ::VL_TRUE if the array is plain.
 ** @sa @ref mexutils-array-test
 **/

 VL_INLINE vl_bool
 vlmxIsPlain (mxArray const * array)
 {
 return
   vlmxIsReal (array) &&
   vlmxIsOfClass (array, mxDOUBLE_CLASS) ;
 }


/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is plain scalar
 ** @param array MATLAB array.
 ** @return ::VL_TRUE if the array is plain scalar.
 ** @sa @ref mexutils-array-test
 **/

VL_INLINE vl_bool
vlmxIsPlainScalar (mxArray const * array)
{
  return vlmxIsPlain (array) && vlmxIsScalar (array) ;
}

/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is a plain vector.
 ** @param array MATLAB array.
 ** @param numElements number of elements (negative for any).
 ** @return ::VL_TRUE if the array is a plain vecotr of the prescribed size.
 ** @sa @ref mexutils-array-test
 **/

VL_INLINE vl_bool
vlmxIsPlainVector (mxArray const * array, vl_index numElements)
{
  return vlmxIsPlain (array) && vlmxIsVector (array, numElements) ;
}


/** ------------------------------------------------------------------
 ** @brief Check if a MATLAB array is a plain matrix.
 ** @param array MATLAB array.
 ** @param M number of rows (negative for any).
 ** @param N number of columns (negative for any).
 ** @return ::VL_TRUE if the array is a plain matrix of the prescribed size.
 ** @sa @ref mexutils-array-test
 **/

VL_INLINE vl_bool
vlmxIsPlainMatrix (mxArray const * array, vl_index M, vl_index N)
{
  return vlmxIsPlain (array) && vlmxIsMatrix (array, M, N) ;
}

/** ------------------------------------------------------------------
 ** @brief Check if the array is a string
 ** @param array array to test.
 ** @param length string length.
 ** @return true if the array is a string of the specified length
 **
 ** The array @a array satisfies the test if:
 ** - its storage class is CHAR;
 ** - it has two dimensions but only one row;
 ** - @a length < 0 or the array has @a length columns.
 **/

static int
vlmxIsString (const mxArray* array, vl_index length)
{
  mwSize M = (mwSize) mxGetM (array) ;
  mwSize N = (mwSize) mxGetN (array) ;

  return
    mxIsChar(array) &&
    mxGetNumberOfDimensions(array) == 2 &&
    (M == 1 || (M == 0 && N == 0)) &&
    (length < 0 || (signed)N == length) ;
}


/** @} */

/** ------------------------------------------------------------------
 ** @brief Create a MATLAB array which is a plain scalar
 ** @param x scalar value.
 ** @return the new array.
 **/

static mxArray *
vlmxCreatePlainScalar (double x)
{
  mxArray * array = mxCreateDoubleMatrix (1,1,mxREAL) ;
  *mxGetPr(array) = x ;
  return array ;
}

/** ------------------------------------------------------------------
 ** @brief Create a MATLAB array from a VlArray
 ** @param x VlArray instance.
 ** @return the new array.
 **/

static mxArray *
vlmxCreateArrayFromVlArray (VlArray const * x)
{
  mwSize dimensions [VL_ARRAY_MAX_NUM_DIMENSIONS] ;
  mxArray * array = NULL ;
  mxClassID classId = (mxClassID)0 ;
  vl_uindex d ;
  vl_size numElements = vl_array_get_num_elements(x) ;
  vl_size numDimensions  = vl_array_get_num_dimensions(x) ;
  vl_size const * xdimensions = vl_array_get_dimensions(x) ;
  vl_type type = vl_array_get_data_type(x) ;
  vl_size typeSize = vl_get_type_size(type) ;

  for (d = 0 ; d < numDimensions ; ++d) {
    dimensions[d] = (mwSize) xdimensions[d] ;
  }

  switch (type) {
    case VL_TYPE_FLOAT   : classId = mxSINGLE_CLASS ; break ;
    case VL_TYPE_DOUBLE  : classId = mxDOUBLE_CLASS ; break ;
    case VL_TYPE_INT8    : classId = mxINT8_CLASS ; break ;
    case VL_TYPE_INT16   : classId = mxINT16_CLASS ; break ;
    case VL_TYPE_INT32   : classId = mxINT32_CLASS ; break ;
    case VL_TYPE_INT64   : classId = mxINT64_CLASS ; break ;
    case VL_TYPE_UINT8   : classId = mxUINT8_CLASS ; break ;
    case VL_TYPE_UINT16  : classId = mxUINT16_CLASS ; break ;
    case VL_TYPE_UINT32  : classId = mxUINT32_CLASS ; break ;
    case VL_TYPE_UINT64  : classId = mxUINT64_CLASS ; break ;
    default: assert(VL_FALSE) ;
  }

  array = mxCreateNumericArray(numDimensions,
                               dimensions,
                               classId,
                               mxREAL) ;

  if (array == NULL) return NULL ;

  memcpy(mxGetData(array), vl_array_get_data(x), typeSize * numElements) ;

  return array ;
}

/** ------------------------------------------------------------------
 ** @brief Envelope a MATLAB array in a VlArray instance
 ** @param v VlArray instance (out)
 ** @param x MATALB array.
 ** @return @c v.
 **/

static VlArray *
vlmxEnvelopeArrayInVlArray (VlArray * v, mxArray * x)
{
  vl_size numDimensions = mxGetNumberOfDimensions(x) ;
  mwSize const * dimensions = mxGetDimensions(x) ;
  mxClassID classId = mxGetClassID(x) ;
  vl_size vdimensions [VL_ARRAY_MAX_NUM_DIMENSIONS] ;
  vl_type type ;
  vl_uindex d ;

  for (d = 0 ; d < numDimensions ; ++d) {
    vdimensions[d] = dimensions[d] ;
  }

  switch (classId) {
    case mxSINGLE_CLASS: type =  VL_TYPE_FLOAT  ; break ;
    case mxDOUBLE_CLASS: type =  VL_TYPE_DOUBLE ; break ;
    case mxINT8_CLASS  : type =  VL_TYPE_INT8   ; break ;
    case mxINT16_CLASS : type =  VL_TYPE_INT16  ; break ;
    case mxINT32_CLASS : type =  VL_TYPE_INT32  ; break ;
    case mxINT64_CLASS : type =  VL_TYPE_INT64  ; break ;
    case mxUINT8_CLASS : type =  VL_TYPE_UINT8  ; break ;
    case mxUINT16_CLASS: type =  VL_TYPE_UINT16 ; break ;
    case mxUINT32_CLASS: type =  VL_TYPE_UINT32 ; break ;
    case mxUINT64_CLASS: type =  VL_TYPE_UINT64 ; break ;
    default: assert(VL_FALSE) ;
  }

  vl_array_init_envelope(v, mxGetData(x), type, numDimensions, vdimensions) ;
  return v ;
}

/** ------------------------------------------------------------------
 ** @brief Case insensitive string comparison
 ** @param s1 first string.
 ** @param s2 second string.
 ** @return comparison result.
 **
 ** The comparison result is equal to 0 if the strings are equal, >0
 ** if the first string is greater than the second (in lexicographical
 ** order), and <0 otherwise.
 **/

static int
vlmxCompareStringsI(const char *s1, const char *s2)
{
  /*
   Since tolower has an int argument, characters must be unsigned
   otherwise will be sign-extended when converted to int.
   */
  while (tolower((unsigned char)*s1) == tolower((unsigned char)*s2))
  {
    if (*s1 == 0) return 0 ; /* implies *s2 == 0 */
    s1++;
    s2++;
  }
  return tolower((unsigned char)*s1) - tolower((unsigned char)*s2) ;
}

/** ------------------------------------------------------------------
 ** @brief Case insensitive string comparison with array
 ** @param array first string (as a MATLAB array).
 ** @param string second string.
 ** @return comparison result.
 **
 ** The comparison result is equal to 0 if the strings are equal, >0
 ** if the first string is greater than the second (in lexicographical
 ** order), and <0 otherwise.
 **/

static int
vlmxCompareToStringI(mxArray const * array, char const  * string)
{
  mxChar const * s1 = (mxChar const *) mxGetData(array) ;
  char unsigned const * s2 = (char unsigned const*) string ;
  vl_size n = mxGetNumberOfElements(array) ;

  /*
   Since tolower has an int argument, characters must be unsigned
   otherwise will be sign-extended when converted to int.
   */
  while (n && tolower((unsigned)*s1) == tolower(*s2)) {
    if (*s2 == 0) return 1 ; /* s2 terminated on 0, but s1 did not terminate yet */
    s1 ++ ;
    s2 ++ ;
    n -- ;
  }
  return tolower(n ? (unsigned)*s1 : 0) - tolower(*s2) ;
}

/** ------------------------------------------------------------------
 ** @brief Case insensitive string equality test with array
 ** @param array first string (as a MATLAB array).
 ** @param string second string.
 ** @return true if the strings are equal.
 **/

static int
vlmxIsEqualToStringI(mxArray const * array, char const  * string)
{
  return vlmxCompareToStringI(array, string) == 0 ;
}

/* ---------------------------------------------------------------- */
/*                        Options handling                          */
/* ---------------------------------------------------------------- */

/** @brief MEX option */

struct _vlmxOption
{
  const char *name ; /**< option name */
  int has_arg ;      /**< has argument? */
  int val ;          /**< value to return */
} ;

/** @brief MEX option type */

typedef struct _vlmxOption vlmxOption  ;

/** ------------------------------------------------------------------
 ** @brief Parse the next option
 ** @param args     MEX argument array.
 ** @param nargs    MEX argument array length.
 ** @param options  List of option definitions.
 ** @param next     Pointer to the next option (input and output).
 ** @param optarg   Pointer to the option optional argument (output).
 ** @return the code of the next option, or -1 if there are no more options.
 **
 ** The function parses the array @a args for options. @a args is
 ** expected to be a sequence alternating option names and option
 ** values, in the form of @a nargs instances of @c mxArray. The
 ** function then scans the option starting at position @a next in the
 ** array.  The option name is matched (case insensitive) to the table
 ** of options @a options, a pointer to the option value is stored in
 ** @a optarg, @a next is advanced to the next option, and the option
 ** code is returned.
 **
 ** The function is typically used in a loop to parse all the available
 ** options. @a next is initialized to zero, and then the function
 ** is called until the special code -1 is returned.
 **
 ** If the option name cannot be matched to the available options,
 ** either because the option name is not a string array or because
 ** the name is unknown, the function exits the MEX file with an
 ** error.
 **/

static int
vlmxNextOption (mxArray const *args[], int nargs,
                vlmxOption  const *options,
                int *next,
                mxArray const **optarg)
{
  char name [1024] ;
  int opt = -1, i;

  if (*next >= nargs) {
    return opt ;
  }

  /* check the array is a string */
  if (! vlmxIsString (args [*next], -1)) {
    vlmxError (vlmxErrInvalidOption,
               "The option name is not a string (argument number %d)",
               *next + 1) ;
  }

  /* retrieve option name */
  if (mxGetString (args [*next], name, sizeof(name))) {
    vlmxError (vlmxErrInvalidOption,
               "The option name is too long (argument number %d)",
               *next + 1) ;
  }

  /* advance argument list */
  ++ (*next) ;

  /* now lookup the string in the option table */
  for (i = 0 ; options[i].name != 0 ; ++i) {
    if (vlmxCompareStringsI(name, options[i].name) == 0) {
      opt = options[i].val ;
      break ;
    }
  }

  /* unknown argument */
  if (opt < 0) {
    vlmxError (vlmxErrInvalidOption, "Unknown option '%s'.", name) ;
  }

  /* no argument */
  if (! options [i].has_arg) {
    if (optarg) *optarg = 0 ;
    return opt ;
  }

  /* argument */
  if (*next >= nargs) {
    vlmxError(vlmxErrInvalidOption,
              "Option '%s' requires an argument.", options[i].name) ;
  }

  if (optarg) *optarg = args [*next] ;
  ++ (*next) ;
  return opt ;
}

/** @brief Get an emumeration member by name
 ** @param enumeration the enumeration to decode.
 ** @param name member name as a MATLAB string array.sb
 ** @param caseInsensitive if @c true match the string case-insensitive.
 ** @return the corresponding enumeration member, or @c NULL if any.
 **/

static VlEnumerator *
vlmxDecodeEnumeration (mxArray const *name_array,
                       VlEnumerator const *enumeration,
                       vl_bool caseInsensitive)
{
  char name [1024] ;

  /* check the array is a string */
  if (! vlmxIsString (name_array, -1)) {
    vlmxError (vlmxErrInvalidArgument, "The array is not a string.") ;
  }

  /* retrieve option name */
  if (mxGetString (name_array, name, sizeof(name))) {
    vlmxError (vlmxErrInvalidArgument, "The string array is too long.") ;
  }

  if (caseInsensitive) {
    return vl_enumeration_get_casei(enumeration, name) ;
  } else {
    return vl_enumeration_get(enumeration, name) ;
  }
}

/* MEXUTILS_H */
#endif
vlfeat-0.9.16/toolbox/misc/000077500000000000000000000000001203326130700155065ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/misc/inthist.tc000066400000000000000000000023061203326130700175210ustar00rootroot00000000000000/** @file inthist.tc
 ** @brief vl_intist.c helper
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#define JOIN_(a,b) a ## b
#define JOIN(a,b) JOIN_(a,b)

#undef INTEGRAL
#define INTEGRAL JOIN(integral_, SFX)

/*
   This function is 'transpose safe': The integral histogram SRC can
   be either column major or row major, as long as WIDTH is the
   fastest varying dimension.
*/
void INTEGRAL (T* dst,
               int dstStride,
               T const* src,
               int srcWidth, int srcHeight, int srcStride)
{
  int x, y ;
  *dst = *src ;
  dst += 1 ;
  src += 1 ;

  for (x = 1 ; x < srcWidth ; ++ x) {
    *dst = *(dst - 1)  + *src ;
    dst += 1 ;
    src += 1 ;
  }

  for (y = 1 ; y < srcHeight ; ++ y) {
    dst += dstStride - srcWidth ;
    src += srcStride - srcWidth ;

    *dst = *(dst - dstStride) + *src ;
    dst += 1 ;
    src += 1 ;

    for (x = 1 ; x < srcWidth ; ++ x) {
      *dst =  *(dst - dstStride) - *(dst - dstStride - 1) +  *(dst - 1)  + *src ;
      dst += 1 ;
      src += 1 ;
    }
  }
}
vlfeat-0.9.16/toolbox/misc/kdtree.h000066400000000000000000000317361203326130700171470ustar00rootroot00000000000000/** @internal
 ** @file     KDForest.c
 ** @brief    KDForest MEX utilities
 ** @author   Andrea Vedaldi
 **/

#include "mex.h"
#include 
#include 

/** ------------------------------------------------------------------
 ** @interan@brief Hepler function
 ** @param tree KDForest object to process
 ** @param nodeIndex index of the KDForest node to start from
 ** @param numNodesToVisit total number of nodes to visit.
 **
 ** The function visits in depth first order the tree's nodes starting
 ** from the root, restoring the node parent pointers.
 **
 ** It also chekcs for tree consistency, aborting the MEX file in case
 ** of inconsistencies. Loops are detected by counting how many nodes
 ** have been visited so far compared to the total number of nodes in
 ** the tree.
 **/

void
restore_parent_recursively (VlKDTree * tree, int nodeIndex, int * numNodesToVisit)
{
  VlKDTreeNode * node = tree->nodes + nodeIndex ;
  int lowerChild = node->lowerChild ;
  int upperChild = node->upperChild ;

  if (*numNodesToVisit == 0) {
    vlmxError (vlmxErrInconsistentData,
              "FOREST.TREES has an inconsitsent tree structure.") ;
  }

  *numNodesToVisit -= 1 ;

  if (lowerChild >= 0) {
    VlKDTreeNode * child = tree->nodes + lowerChild ;
    child->parent = nodeIndex ;
    restore_parent_recursively (tree, lowerChild, numNodesToVisit) ;
  }
  if (upperChild >= 0) {
    VlKDTreeNode * child = tree->nodes + upperChild ;
    child->parent = nodeIndex ;
    restore_parent_recursively (tree, upperChild, numNodesToVisit) ;
  }
}

/** ------------------------------------------------------------------
 ** @internal @brief Builds a MEX array representing a VlKDForest object
 ** @param tree object to convert.
 ** @return MEX representation of the tree.
 **
 ** The KDForest object returned encapsulates the data (no copies are made).
 ** Recall that a KDForest object by design does not own the data.
 **
 ** In case of error, the function aborts by calling ::mxErrMsgTxt.
 **/

static mxArray *
new_array_from_kdforest (VlKDForest const * forest)
{
  vl_uindex ti ;
  mwSize dims [] = {1,1} ;
  mwSize treeDims [] = {1,0} ;
  char const * fieldNames [] = {
    "dimension",
    "numData",
    "trees"
  } ;
  char const * treeFieldNames [] = {
    "nodes",
    "dataIndex"
  } ;
  char const * nodesFieldNames [] = {
    "lowerChild",
    "upperChild",
    "splitDimension",
    "splitThreshold"
  } ;
  mxArray * forest_array ;
  mxArray * trees_array ;

  treeDims [0] = 1 ;
  treeDims [1] = forest->numTrees ;
  trees_array = mxCreateStructArray (2, treeDims,
                                     sizeof(treeFieldNames) / sizeof(treeFieldNames[0]),
                                     treeFieldNames) ;

  /*
    FOREST.NUMDIMENSIONS
    FOREST.NUMDATA
   */

  forest_array = mxCreateStructArray (2, dims, sizeof(fieldNames) / sizeof(fieldNames[0]), fieldNames) ;
  mxSetField (forest_array, 0, "dimension", vlmxCreatePlainScalar (forest->dimension)) ;
  mxSetField (forest_array, 0, "numData", vlmxCreatePlainScalar (forest->numData)) ;
  mxSetField (forest_array, 0, "trees", trees_array) ;

  for (ti = 0 ; ti < forest->numTrees ; ++ ti) {
    VlKDTree * tree = forest->trees[ti] ;
    mxArray * nodes_array = mxCreateStructArray (2, dims, sizeof(nodesFieldNames) / sizeof(nodesFieldNames[0]), nodesFieldNames) ;
    mxArray * dataIndex_array = mxCreateNumericMatrix (1, forest->numData, mxUINT32_CLASS, mxREAL) ;
    mxSetField (trees_array, ti, "nodes", nodes_array) ;
    mxSetField (trees_array, ti, "dataIndex", dataIndex_array) ;

    /*
     FOREST.TREES.NODES.LOWERCHILD
     FOREST.TREES.NODES.UPPERCHILD
     FOREST.TREES.NODES.SPLITDIMENSION
     FOREST.TREES.NODES.SPLITTHRESHOLD
     */
    {
      mxArray * lowerChild_array = mxCreateNumericMatrix (1, tree->numUsedNodes, mxINT32_CLASS, mxREAL) ;
      mxArray * upperChild_array = mxCreateNumericMatrix (1, tree->numUsedNodes, mxINT32_CLASS, mxREAL) ;
      mxArray * splitDimension_array = mxCreateNumericMatrix (1, tree->numUsedNodes, mxUINT32_CLASS, mxREAL) ;
      mxArray * splitThreshold_array = mxCreateNumericMatrix (1, tree->numUsedNodes, mxDOUBLE_CLASS, mxREAL) ;

      vl_uint32 * upperChild = mxGetData (upperChild_array) ;
      vl_uint32 * lowerChild = mxGetData (lowerChild_array) ;
      vl_uint32 * splitDimension = mxGetData (splitDimension_array) ;
      double * splitThreshold = mxGetData (splitThreshold_array) ;
      vl_uindex ni ;

      for (ni = 0 ; ni < tree -> numUsedNodes ; ++ ni) {
        VlKDTreeNode const * node = tree -> nodes + ni ;
        int a = node->upperChild ;
        int b = node->lowerChild ;
        upperChild [ni] = (a>=0) ? a + 1 : a ;
        lowerChild [ni] = (b>=0) ? b + 1 : b ;
        splitDimension [ni] = node->splitDimension + 1 ;
        splitThreshold [ni] = node->splitThreshold ;
      }
      mxSetField (nodes_array, 0, "lowerChild", lowerChild_array) ;
      mxSetField (nodes_array, 0, "upperChild", upperChild_array) ;
      mxSetField (nodes_array, 0, "splitDimension", splitDimension_array) ;
      mxSetField (nodes_array, 0, "splitThreshold", splitThreshold_array) ;
    }

    /* FOREST.TREEE.DATAINDEX */
    {
      vl_uint32 * dataIndex = mxGetData (dataIndex_array) ;
      vl_uindex di ;
      for (di = 0 ; di < forest->numData ; ++ di) {
        dataIndex [di] = forest->trees[ti]->dataIndex[di].index + 1 ;
      }
    }
  }
  return forest_array  ;
}


/** ------------------------------------------------------------------
 ** @internal @brief Builds a VlKDForest from MEX parameters
 ** @param forest_array MEX array representing the kd-tree
 ** @param data_array MEX array representing the kd-tree data
 ** @return KDForest object instance.
 **
 ** The KDForest object returned encapsulates the data (no copies are made).
 ** Recall that a KDForest object by design does not own the data.
 **
 ** In case of error, the function aborts by calling ::mxErrMsgTxt.
 **/

static VlKDForest *
new_kdforest_from_array (mxArray const * forest_array, mxArray const * data_array)
{
  VlKDForest * forest ;
  mxArray const * dimension_array ;
  mxArray const * numData_array ;
  mxArray const * trees_array ;
  mxArray const * nodes_array ;
  mxArray const * dataIndex_array ;
  mxArray const * lowerChild_array ;
  mxArray const * upperChild_array ;
  mxArray const * splitDimension_array ;
  mxArray const * splitThreshold_array ;

  vl_int32 const * lowerChild ;
  vl_int32 const * upperChild ;
  vl_uint32 const * splitDimension ;
  double const * splitThreshold ;

  vl_uindex ti ;
  int unsigned dimension ;
  vl_size numData ;
  vl_size numUsedNodes ;
  vl_size numTrees ;

  vl_type dataType ;

  /*
    FOREST.NUMDIMENSIONS
    FOREST.NUMDATA
    FOREST.DATA
    FOREST.TREES
   */
  if (! mxIsStruct (forest_array) ||
      mxGetNumberOfElements (forest_array) != 1) {
    vlmxError (vlmxErrInconsistentData,
              "FOREST must be a 1 x 1 structure.") ;
  }
  dimension_array = mxGetField (forest_array, 0, "dimension") ;
  if (! dimension_array ||
      ! vlmxIsPlainScalar (dimension_array) ||
      (dimension = mxGetScalar (dimension_array)) < 1) {
    vlmxError(vlmxErrInconsistentData,
             "FOREST.NUMDIMENSIONS must be a poisitve integer.") ;
  }
  numData_array = mxGetField (forest_array, 0, "numData") ;
  if (! numData_array ||
      ! vlmxIsPlainScalar (numData_array) ||
      (numData = mxGetScalar (numData_array)) < 1) {
    vlmxError(vlmxErrInconsistentData,
             "FOREST.NUMDATA must be a poisitve integer.") ;
  }
  trees_array = mxGetField (forest_array, 0, "trees") ;
  if (! mxIsStruct (trees_array)) {
    vlmxError(vlmxErrInconsistentData,
             "FOREST.TREES must be a structure array.") ;
  }
  numTrees = mxGetNumberOfElements (trees_array) ;
  if (numTrees < 1) {
    vlmxError(vlmxErrInconsistentData,
             "FOREST.TREES must have at least one element.") ;
  }

  if (! vlmxIsMatrix (data_array, dimension, numData)) {
    vlmxError(vlmxErrInconsistentData,
             "DATA dimensions are not compatible with TREE.") ;
  }
  if (! vlmxIsReal (data_array)) {
    vlmxError(vlmxErrInvalidArgument,
             "DATA must be real.") ;
  }
  switch (mxGetClassID (data_array)) {
    case mxSINGLE_CLASS : dataType = VL_TYPE_FLOAT ; break ;
    case mxDOUBLE_CLASS : dataType = VL_TYPE_DOUBLE ; break ;
    default :
      vlmxError(vlmxErrInvalidArgument,
               "DATA must be either SINGLE or DOUBLE.") ;
  }

  forest = vl_kdforest_new (dataType, dimension, numTrees) ;
  forest->numData = numData ;
  forest->trees = vl_malloc (sizeof(VlKDTree*) * numTrees) ;
  forest->data = mxGetData (data_array) ;

  /*
   FOREST.TREES.NODES
   FOREST.TREES.DATAINDEX
   */
  for (ti = 0 ; ti < numTrees ; ++ ti) {
    VlKDTree * tree = vl_malloc (sizeof(VlKDTree)) ;
    nodes_array = mxGetField (trees_array, ti, "nodes") ;
    dataIndex_array = mxGetField (trees_array, ti, "dataIndex") ;

    if (! nodes_array ||
        ! mxIsStruct (nodes_array)) {
      vlmxError(vlmxErrInconsistentData,
               "FOREST.TREES(%d).NODES must be a struct array.", ti+1) ;
    }

    /*
     FOREST.TREES.NODES.LOWERCHILD
     FOREST.TREES.NODES.UPPERCHILD
     FOREST.TREES.NODES.SPLITTHRESHOLD
     FOREST.TREES.NODES.SPLITDIMENSION
     */

    lowerChild_array = mxGetField (nodes_array, 0, "lowerChild") ;
    upperChild_array = mxGetField (nodes_array, 0, "upperChild") ;
    splitDimension_array = mxGetField (nodes_array, 0, "splitDimension") ;
    splitThreshold_array = mxGetField (nodes_array, 0, "splitThreshold") ;

    numUsedNodes = mxGetN (lowerChild_array) ;

    if (! lowerChild_array ||
        ! vlmxIsMatrix (lowerChild_array, 1, numUsedNodes) ||
        mxGetClassID (lowerChild_array) != mxINT32_CLASS) {
      vlmxError(vlmxErrInconsistentData,
               "FOREST.TREES(%d).NODES.LOWERCHILD must be a 1 x NUMNODES INT32 array.",ti+1) ;
    }
    if (! upperChild_array ||
        ! vlmxIsMatrix (upperChild_array, 1, numUsedNodes) ||
        mxGetClassID (upperChild_array) != mxINT32_CLASS) {
      vlmxError(vlmxErrInconsistentData,
               "FOREST.TREES(%d).NODES.UPPERCHILD must be a 1 x NUMNODES INT32 array.",ti+1) ;
    }
    if (! splitDimension_array ||
        ! vlmxIsMatrix (splitDimension_array, 1, numUsedNodes) ||
        mxGetClassID (splitDimension_array) != mxUINT32_CLASS) {
      vlmxError(vlmxErrInconsistentData,
               "FOREST.TREES(%d).NODES.SPLITDIMENSION must be a 1 x NUMNODES UINT32 array",ti+1) ;
    }
    if (! splitThreshold_array ||
        ! vlmxIsMatrix (splitThreshold_array, 1, numUsedNodes) ||
        mxGetClassID (splitThreshold_array) != mxDOUBLE_CLASS) {
      vlmxError(vlmxErrInconsistentData,
               "FOREST.TREES(%d).NODES.SPLITTHRESHOLD must be a 1 x NUMNODES DOUBLE array",ti+1) ;
    }
    lowerChild = (vl_int32*) mxGetData (lowerChild_array) ;
    upperChild = (vl_int32*) mxGetData (upperChild_array) ;
    splitDimension = (vl_uint32*) mxGetData (splitDimension_array) ;
    splitThreshold = (double*) mxGetData (splitThreshold_array) ;

    if (! dataIndex_array ||
        ! vlmxIsMatrix (dataIndex_array, 1, numData) ||
        mxGetClassID (dataIndex_array) != mxUINT32_CLASS) {
      vlmxError(vlmxErrInconsistentData,
               "FOREST.TREES(%d).DATAINDEX must be a 1 x NUMDATA array of class UINT32.",ti+1) ;
    }

    tree->numAllocatedNodes = numUsedNodes ;
    tree->numUsedNodes = numUsedNodes ;
    tree->nodes = vl_malloc (sizeof(VlKDTreeNode) * numUsedNodes) ;
    tree->dataIndex = vl_malloc (sizeof(VlKDTreeDataIndexEntry) * numData) ;

    {
      vl_uindex ni ;
      for (ni = 0 ; ni < numUsedNodes ; ++ ni) {
        vl_int32 lc = lowerChild [ni] ;
        vl_int32 uc = upperChild [ni] ;
        vl_uint32 d = splitDimension [ni] ;

        if (uc < - (signed)numData - 1 || uc > (signed)numUsedNodes) {
          vlmxError (vlmxErrInconsistentData,
                    "TREE.NODES.UPPERCHILD(%d)=%d out of bounds",
                    ni+1,uc) ;
        }
        if (lc < - (signed)numData || lc > (signed)numUsedNodes) {
          vlmxError (vlmxErrInconsistentData,
                    "TREE.NODES.LOWERCHILD(%d)=%d out of bounds",
                    ni+1,lc) ;
        }
        if (d > dimension) {
          vlmxError (vlmxErrInconsistentData,
                    "TREE.NODES.SPLITDIMENSION(%d)=%d out of bounds",
                    ni+1,d) ;
        }

        tree->nodes[ni].parent = 0 ;
        tree->nodes[ni].upperChild = (uc >= 1) ? uc-1 : uc ;
        tree->nodes[ni].lowerChild = (lc >= 1) ? lc-1 : lc ;
        tree->nodes[ni].splitDimension = d - 1 ;
        tree->nodes[ni].splitThreshold = splitThreshold[ni] ;
      }
    }

    {
      vl_uindex di ;
      vl_uint32 * dataIndex = mxGetData (dataIndex_array) ;
      for (di = 0 ; di < numData ; ++ di) {
        tree->dataIndex[di].index = dataIndex [di] - 1 ;
      }
    }

    {
      int numNodesToVisit = tree->numUsedNodes ;
      restore_parent_recursively (tree, 0, &numNodesToVisit) ;
      if (numNodesToVisit != 0) {
        vlmxError (vlmxErrInconsistentData,
                  "TREE has an inconsitsent tree structure.") ;
      }
    }

    forest->trees[ti] = tree ;
  }
  return forest ;
}
vlfeat-0.9.16/toolbox/misc/samplinthist.tc000066400000000000000000000034351203326130700205620ustar00rootroot00000000000000#define JOIN_(a,b) a ## b
#define JOIN(a,b) JOIN_(a,b)

#undef SAMPLE
#define SAMPLE JOIN(sample_, SFX)

VL_INLINE void
SAMPLE (T* histPt,
        T const* intHistPt,
        vl_size width, vl_size height, vl_size numLabels,
        vl_uint32 const* boxesPt,
        vl_size numBoxes)
{
  vl_uindex bi, k ;
  for (bi = 0 ; bi < numBoxes ; ++ bi) {
    vl_uint32 x1 = *boxesPt++ ;
    vl_uint32 y1 = *boxesPt++ ;
    vl_uint32 x2 = *boxesPt++ ;
    vl_uint32 y2 = *boxesPt++ ;
    vl_uint32 stride = width ;
    vl_uint32 labelStride = width * height ;
    T const* iter = 0 ;

    /* empty box case */
    if (x1 > x2 || y1 > y2) {
      for (k = 0 ; k < numLabels ; ++k) {
        histPt [k] = 0 ;
      }
      histPt += numLabels ;
      continue ;
    }

    if (x1 < 1  || y1 < 1) {
      vlmxError(vlmxErrInconsistentData,
               "Box %d is out of bounds.", bi + 1) ;
    }
    if (x2 > width || y2 > height) {
      vlmxError(vlmxErrInconsistentData,
               "Box %d is out of bounds.", bi + 1) ;
    }

    -- x1 ;
    -- x2 ;
    -- y1 ;
    -- y2 ;

    iter = intHistPt + x2 + y2 * stride ;
    for (k = 0 ; k < numLabels ; ++k) {
      histPt [k] = *iter ;
      iter += labelStride ;
    }

    if (x1 > 0) {
      iter = intHistPt + (x1 - 1) + y2 * stride ;
      for (k = 0 ; k < numLabels ; ++k) {
        histPt [k] -= *iter ;
        iter += labelStride ;
      }
    }

    if (x1 > 0 && y1 > 0) {
      iter = intHistPt + (x1 - 1) + (y1 - 1) * stride ;
      for (k = 0 ; k < numLabels ; ++k) {
        histPt [k] += *iter ;
        iter += labelStride ;
      }
    }

    if (y1 > 0) {
      iter = intHistPt + x2 + (y1 - 1) * stride ;
      for (k = 0 ; k < numLabels ; ++k) {
        histPt [k] -= *iter ;
        iter += labelStride ;
      }
    }
    histPt += numLabels ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_alldist.c000066400000000000000000000132671203326130700200200ustar00rootroot00000000000000/** @file   vl_alldist.c
 ** @brief  vl_alldist - MEX implementation
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "mexutils.h"
#include 

enum {
  opt_LINF,
  opt_L2,
  opt_L1,
  opt_L0,
  opt_CHI2,
  opt_HELL,
  opt_JS,

  opt_KL2,
  opt_KL1,
  opt_KCHI2,
  opt_KHELL,
  opt_KJS
} ;

vlmxOption  options [] = {
{"linf",         0,   opt_LINF          },
{"l2",           0,   opt_L2            },
{"l1",           0,   opt_L1            },
{"l0",           0,   opt_L0            },
{"chi2",         0,   opt_CHI2          },
{"hell",         0,   opt_HELL          },
{"js",           0,   opt_JS            },

{"kl2",          0,   opt_KL2           },
{"kl1",          0,   opt_KL1           },
{"kchi2",        0,   opt_KCHI2         },
{"khell",        0,   opt_KHELL         },
{"kjs",          0,   opt_KJS           },

{0,              0,   0                 }
} ;

/* driver */
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{

  typedef int  unsigned data_t ;

  vl_bool autoComparison = VL_TRUE ;
  VlVectorComparisonType comparisonType = VlDistanceL2 ;

  enum {IN_X = 0, IN_Y} ;
  enum {OUT_D = 0} ;
  mwSize numDataX = 0 ;
  mwSize numDataY = 0 ;
  mwSize dimension ;
  mxClassID classId ;

  /* for option parsing */
  int opt ;
  int next ;
  mxArray const *optarg ;

  VL_USE_MATLAB_ENV ;

  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }
  if (nin < 1) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (! (vlmxIsMatrix (in[IN_X],-1,-1) && vlmxIsReal(in[IN_X]))) {
    vlmxError(vlmxErrInvalidArgument, "X must be a real matrix.") ;
  }
  next = 1 ;
  classId = mxGetClassID(in[IN_X]) ;
  dimension = mxGetM(in[IN_X]) ;
  numDataX = mxGetN(in[IN_X]) ;

  if (nin > 1 && vlmxIsMatrix (in[IN_Y],-1,-1) && vlmxIsReal(in[IN_Y])) {
    next = 2 ;
    autoComparison = VL_FALSE ;
    numDataY = mxGetN(in[IN_Y]) ;
    if (mxGetClassID(in[IN_Y]) != classId) {
      vlmxError(vlmxErrInvalidArgument, "X and Y must have the same class.") ;
    }
    if (dimension != mxGetM(in[IN_Y])) {
      vlmxError(vlmxErrInvalidArgument, "X and Y must have the same number of rows.") ;
    }
  }

  if (classId != mxSINGLE_CLASS && classId != mxDOUBLE_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
             "X must be either of class SINGLE or DOUBLE.");
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
      case opt_L2    : comparisonType = VlDistanceL2 ; break ;
      case opt_L1    : comparisonType = VlDistanceL1 ; break ;
      case opt_CHI2  : comparisonType = VlDistanceChi2 ; break ;
      case opt_HELL  : comparisonType = VlDistanceHellinger ; break ;
      case opt_JS    : comparisonType = VlDistanceJS ; break ;
      case opt_KL2   : comparisonType = VlKernelL2 ; break ;
      case opt_KL1   : comparisonType = VlKernelL1 ; break ;
      case opt_KCHI2 : comparisonType = VlKernelChi2 ; break ;
      case opt_KHELL : comparisonType = VlKernelHellinger ; break ;
      case opt_KJS   : comparisonType = VlKernelJS ; break ;
      default:
        abort() ;
    }
  }

  /* allocate output */
  {
    mwSize dims [2] ;
    dims[0] = numDataX ;
    dims[1] = autoComparison ? numDataX : numDataY ;
    out[OUT_D] = mxCreateNumericArray (2, dims, classId, mxREAL) ;
  }

  /* If either numDataX or numDataY are null, their data pointers are
     null as well. This may confuse
     vl_eval_vector_comparison_on_all_pairs_*, so we intercept this as
     a special case. The same is true if dimension is null.
  */

  if (numDataX == 0 || (! autoComparison && numDataY == 0)) {
    return ;
  }
  if (dimension == 0) {
    return ;
  }

  /* make calculation */
  switch (classId) {
  case mxSINGLE_CLASS:
    {
      VlFloatVectorComparisonFunction f = vl_get_vector_comparison_function_f (comparisonType) ;
      if (autoComparison) {
        vl_eval_vector_comparison_on_all_pairs_f ((float*)mxGetData(out[OUT_D]),
                                                  dimension,
                                                  (float*)mxGetData(in[IN_X]), numDataX,
                                                  0, 0,
                                                  f) ;
      } else {
        vl_eval_vector_comparison_on_all_pairs_f ((float*)mxGetData(out[OUT_D]),
                                                  dimension,
                                                  (float*)mxGetData(in[IN_X]), numDataX,
                                                  (float*)mxGetData(in[IN_Y]), numDataY,
                                                  f) ;
      }
    }
    break ;

    case mxDOUBLE_CLASS:
    {
      VlDoubleVectorComparisonFunction f = vl_get_vector_comparison_function_d (comparisonType) ;
      if (autoComparison) {
        vl_eval_vector_comparison_on_all_pairs_d ((double*)mxGetData(out[OUT_D]),
                                                  dimension,
                                                  (double*)mxGetData(in[IN_X]), numDataX,
                                                  0, 0,
                                                  f) ;
      } else {
        vl_eval_vector_comparison_on_all_pairs_d ((double*)mxGetData(out[OUT_D]),
                                                  dimension,
                                                  (double*)mxGetData(in[IN_X]), numDataX,
                                                  (double*)mxGetData(in[IN_Y]), numDataY,
                                                  f) ;
      }
    }
    break ;

  default:
    abort() ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_alldist2.c000066400000000000000000000427101203326130700200750ustar00rootroot00000000000000/* file:        alldist2.c
** description: All pairwise distances
** author:      Andrea Vedaldi
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 
#include 

#include
#include
#include
#include
#include

enum {
  opt_LINF,
  opt_L2,
  opt_L1,
  opt_L0,
  opt_CHI2,
  opt_HELL,

  opt_KL2,
  opt_KL1,
  opt_KCHI2,
  opt_KHELL,

  opt_MIN
} ;

vlmxOption  options [] = {
  {"linf",         0,   opt_LINF          },
  {"l2",           0,   opt_L2            },
  {"l1",           0,   opt_L1            },
  {"l0",           0,   opt_L0            },
  {"chi2",         0,   opt_CHI2          },
  {"hell",         0,   opt_HELL          },

  {"kl2",          0,   opt_KL2           },
  {"kl1",          0,   opt_KL1           },
  {"kchi2",        0,   opt_KCHI2         },
  {"khell",        0,   opt_KHELL         },

  {"min",          0,   opt_MIN           },
  {0,              0,   0                 }
} ;


#undef MIN
#undef MAX
#undef ABS
#undef ABS_DIFF
#undef CORE

#define MIN(x,y)      ((x) <= (y) ? (x) :  (y))
#define MAX(x,y)      ((x) >= (y) ? (x) :  (y))
#define ABS(x)        ((x) >= 0   ? (x) : -(x))
#define ABS_DIFF(x,y) ((x) >= (y) ? ((x) - (y)) : ((y) - (x)))

#ifndef sqrtf
#define sqrtf(x) ((float)sqrt(x))
#endif

/* for L2 norm */
/*#define CMP(s1,s2) ((double)(s1*s2)) */

/* for L1 norm */
#define CMP(s1,s2) ((double)MIN(s1,s2))

#define UINT8_t  vl_uint8
#define  INT8_t  vl_int8
#define UINT16_t vl_uint16
#define  INT16_t vl_int16
#define UINT32_t vl_uint32
#define  INT32_t vl_int32
#define SINGLE_t float
#define DOUBLE_t double

#define CORE(NORM,F,DC,AC)                                              \
  void                                                                  \
  dist ## NORM ## _ ## DC ## _ ## AC                                    \
  (                                                                     \
   AC ## _t * pt, DC ## _t * s1_pt,                                     \
   DC ## _t * s2_pt,                                                    \
   vl_size L, vl_size N1, vl_size N2,                                   \
   bool self)                                                           \
  {                                                                     \
    vl_uindex j1,j2,l ;                                                 \
    for(j2 = 0 ; j2 < N2 ; ++j2)  {                                     \
      for(j1 = 0 ; j1 < N1 ; ++j1) {                                    \
        if(! self || j1>=j2) {                                          \
          AC ## _t acc = 0 ;                                            \
          DC ## _t * s1_it = s1_pt + L*j1 ;                             \
          DC ## _t * s2_it = s2_pt + L*j2 ;                             \
          for(l = 0 ; l < L ; ++l) {                                    \
            AC ## _t s1 = *s1_it++ ;                                    \
            AC ## _t s2 = *s2_it++ ;                                    \
            F(AC, s1, s2)                                               \
          }                                                             \
          *pt = acc;                                                    \
        } else {                                                        \
          *pt = *(pt + (j1 - j2) * (N1 - 1))  ;                         \
        }                                                               \
        pt++ ;                                                          \
      }                                                                 \
    }                                                                   \
  }                                                                     \

#define CORE_SPARSE(NORM, F)                                            \
  {                                                                     \
    double const * s1_pt = mxGetPr(in[IN_S1]) ;                         \
    mwIndex const * s1_ir  = mxGetIr(in[IN_S1]) ;                       \
    mwIndex const * s1_jc  = mxGetJc(in[IN_S1]) ;                       \
    double const * s2_pt = 0 ;                                          \
    mwIndex  const * s2_ir  = 0 ;                                       \
    mwIndex const * s2_jc  = 0 ;                                        \
    double * pt = mxGetPr(out[OUT_D]) ;                                 \
    vl_uindex j1, j2 ;                                                  \
                                                                        \
    if (self) {                                                         \
      s2_pt = s1_pt ;                                                   \
      s2_ir = s1_ir ;                                                   \
      s2_jc = s1_jc ;                                                   \
    } else {                                                            \
      s2_pt = mxGetPr(in[IN_S2]) ;                                      \
      s2_ir = mxGetIr(in[IN_S2]) ;                                      \
      s2_jc = mxGetJc(in[IN_S2]) ;                                      \
    }                                                                   \
                                                                        \
    for (j2 = 0 ; j2 < N2 ; ++j2)  {                                    \
      for (j1 = 0 ; j1 < N1 ; ++j1) {                                   \
        int nz1 = s1_jc [j1+1] - s1_jc [j1] ;                           \
        int nz2 = s2_jc [j2+1] - s2_jc [j2] ;                           \
        if(! self || j1 >= j2) {                                        \
          double acc = 0 ;                                              \
          double const * s1_it = s1_pt + s1_jc [j1] ;                   \
          double const * s2_it = s2_pt + s2_jc [j2] ;                   \
          mwIndex const * s1_ir_it = s1_ir + s1_jc [j1] ;               \
          mwIndex const * s2_ir_it = s2_ir + s2_jc [j2] ;               \
          mwIndex ir1 ; \
          mwIndex ir2 ; \
          while (nz1 || nz2) {                                          \
            if (nz2 == 0) {                                             \
              double a = *s1_it++ ;                                     \
              F(DOUBLE, a, 0) ;                                         \
              s1_ir_it ++ ;                                             \
              nz1 -- ;                                                  \
              continue ;                                                \
            }                                                           \
            if (nz1 == 0) {                                             \
              double b = *s2_it++ ;                                     \
              F(DOUBLE, 0, b) ;                                         \
              s2_ir_it ++ ;                                             \
              nz2 -- ;                                                  \
              continue ;                                                \
            }                                                           \
            ir1 = *s1_ir_it ;                                           \
            ir2 = *s2_ir_it ;                                           \
            if (ir1 < ir2) {                                            \
              double a = *s1_it++ ;                                     \
              F(DOUBLE, a, 0) ;                                         \
              s1_ir_it ++ ;                                             \
              nz1 -- ;                                                  \
              continue ;                                                \
            }                                                           \
            if (ir1 > ir2) {                                            \
              double b = *s2_it++ ;                                     \
              F(DOUBLE, 0, b) ;                                         \
              s2_ir_it ++ ;                                             \
              nz2 -- ;                                                  \
              continue ;                                                \
            }                                                           \
            {                                                           \
              double a = *s1_it++ ;                                     \
              double b = *s2_it++ ;                                     \
              F(DOUBLE, a, b) ;                                         \
              s1_ir_it ++ ;                                             \
              s2_ir_it ++ ;                                             \
              nz1 -- ;                                                  \
              nz2 -- ;                                                  \
            }                                                           \
          }                                                             \
          *pt = acc;                                                    \
        } else {                                                        \
          *pt = *(pt + (j1 - j2) * (N1 - 1))  ;                         \
        }                                                               \
        pt++ ;                                                          \
      }                                                                 \
    }                                                                   \
  }


#define DEF_CLASS(NORM,F)                          \
  CORE (NORM,  F,  INT8,     INT32)                \
  CORE (NORM,  F,  UINT8,   UINT32)                \
  CORE (NORM,  F,  INT16,    INT32)                \
  CORE (NORM,  F,  UINT16,  UINT32)                \
  CORE (NORM,  F,  INT32,    INT32)                \
  CORE (NORM,  F,  UINT32,  UINT32)                \
  CORE (NORM,  F,  SINGLE,  SINGLE)                \
  CORE (NORM,  F,  DOUBLE,  DOUBLE)

#define  F_L0(AC,x,y)   { acc += (x) != (y) ; }
#define  F_L1(AC,x,y)   { acc += ABS_DIFF(x,y) ; }
#define  F_L2(AC,x,y)   { AC ## _t tmp = ABS_DIFF(x,y) ; acc += tmp * tmp ; }
#define  F_LINF(AC,x,y) { acc = MAX(acc, ABS_DIFF(x,y)) ; }
#define  F_CHI2(AC,x,y)                                  \
  {                                                      \
    AC ## _t  meant2 = ((x) + (y))  ;                    \
    if (meant2 != 0) {                                   \
      AC ## _t tmp  = ABS_DIFF(x,y) ;                    \
      acc += tmp * tmp / meant2 ;                        \
    }                                                    \
  }
#define F_HELL_SINGLE(x,y) { acc += x + y - 2 * sqrtf (x * y) ; }
#define F_HELL_DOUBLE(x,y) { acc += x + y - 2 * sqrt  (x * y) ; }
#define F_HELL_UINT32(x,y) { acc += x + y - 2 * vl_fast_sqrt_ui32 (x * y) ; }
#define F_HELL_INT32(x,y)  { acc += x + y - 2 * vl_fast_sqrt_ui32 (x * y) ; }
#define F_HELL_UINT16(x,y) { acc += x + y - 2 * vl_fast_sqrt_ui32 (x * y) ; }
#define F_HELL_INT16(x,y)  { acc += x + y - 2 * vl_fast_sqrt_ui32 (x * y) ; }
#define F_HELL_UINT8(x,y)  { acc += x + y - 2 * vl_fast_sqrt_ui32 (x * y) ; }
#define F_HELL_INT8(x,y)   { acc += x + y - 2 * vl_fast_sqrt_ui32 (x * y) ; }
#define F_HELL(AC,x,y) F_HELL_ ## AC (x,y)

#define  F_KL2(AC,x,y)  { acc += (x*y) ; }
#define  F_KL1(AC,x,y)  { acc += MIN(x,y) ; }
#define  F_MIN(AC,x,y)  { acc += MIN(x,y) ; }
#define  F_KCHI2(AC,x,y)                                 \
  {                                                      \
    AC ## _t  mean = ((x) + (y)) / 2  ;                  \
    if (mean != 0) {                                     \
      AC ## _t tmp  = (x) * (y) ;                        \
      acc += tmp / mean ;                                \
    }                                                    \
  }
#define F_KHELL_SINGLE(x,y) { acc += sqrtf (x * y) ; }
#define F_KHELL_DOUBLE(x,y) { acc += sqrt  (x * y) ; }
#define F_KHELL_UINT32(x,y) { acc += vl_fast_sqrt_ui32 (x * y) ; }
#define F_KHELL_INT32(x,y)  { acc += vl_fast_sqrt_ui32 (x * y) ; }
#define F_KHELL_UINT16(x,y) { acc += vl_fast_sqrt_ui32 (x * y) ; }
#define F_KHELL_INT16(x,y)  { acc += vl_fast_sqrt_ui32 (x * y) ; }
#define F_KHELL_UINT8(x,y)  { acc += vl_fast_sqrt_ui32 (x * y) ; }
#define F_KHELL_INT8(x,y)   { acc += vl_fast_sqrt_ui32 (x * y) ; }
#define F_KHELL(AC,x,y) F_KHELL_ ## AC (x,y)

DEF_CLASS (LINF,  F_LINF )
DEF_CLASS (L2,    F_L2   )
DEF_CLASS (L1,    F_L1   )
DEF_CLASS (L0,    F_L0   )
DEF_CLASS (CHI2,  F_CHI2 )
DEF_CLASS (HELL,  F_HELL )

DEF_CLASS (KL2,   F_KL2  )
DEF_CLASS (KL1,   F_KL1  )
DEF_CLASS (KCHI2, F_KCHI2)
DEF_CLASS (KHELL, F_KHELL)

DEF_CLASS (MIN,   F_MIN  )

/* driver */
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{

  typedef int  unsigned data_t ;

  /*  mxClassID data_class = mxINT8_CLASS ;*/
  enum {IN_S1,IN_S2} ;
  enum {OUT_D=0} ;
  vl_size L,N1,N2 ;
  vl_bool sparse = 0 ;
  void const * s1_pt ;
  void const * s2_pt ;
  mxClassID data_class ;
  mxClassID acc_class ;
  mwSize dims [2] ;

  /* for option parsing */
  bool           self = 1 ;      /* called with one numeric argument? */
  int            norm = opt_L2 ; /* type of norm to be computed       */
  int            opt ;
  int            next = 1 ;
  mxArray const *optarg ;

  /** -----------------------------------------------------------------
   **                                               Check the arguments
   ** -------------------------------------------------------------- */

  if (nout > 1) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if (nin < 1) {
    mexErrMsgTxt("At leat one argument required.") ;
  }

  if(! mxIsNumeric(in[IN_S1])) {
    mexErrMsgTxt ("X must be numeric") ;
  }

  if (nin >= 2 && mxIsNumeric(in[IN_S2])) {
    self = 0 ;
    next = 2 ;
  }

  sparse = mxIsSparse(in[IN_S1]) ;

  if (sparse && nin >=2 && mxIsNumeric(in[IN_S2])) {
    if (! mxIsSparse(in[IN_S2])) {
      mexErrMsgTxt ("X and Y must be either both full or sparse.") ;
    }
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
    case opt_LINF :
    case opt_L2 :
    case opt_L1 :
    case opt_L0 :
    case opt_CHI2 :
    case opt_HELL :

    case opt_KL2 :
    case opt_KL1 :
    case opt_KCHI2 :
    case opt_KHELL :

    case opt_MIN :
      norm = opt ;
      break ;

    default:
      abort() ;
    }
  }

  data_class = mxGetClassID(in[IN_S1]) ;
  if ((!self) && data_class != mxGetClassID(in[IN_S2])) {
    mexErrMsgTxt("X and Y must have the same numeric class") ;
  }

  assert ((! sparse) || (data_class == mxDOUBLE_CLASS)) ;

  L  = mxGetM(in[IN_S1]) ;
  N1 = mxGetN(in[IN_S1]) ;
  N2 = self ?  N1 : mxGetN(in[IN_S2]) ;

  dims[0] = N1 ;
  dims[1] = N2 ;

  if ((!self) && L != mxGetM(in[IN_S2])) {
    mexErrMsgTxt("X and Y must have the same number of rows") ;
  }

  s1_pt = mxGetData(in[IN_S1]) ;
  s2_pt = self ? s1_pt : mxGetData(in[IN_S2]) ;

#define DISPATCH_CLASS(NORM, DC,AC)                                     \
  case mx ## DC ## _CLASS :                                             \
    acc_class = mx ## AC ## _CLASS ;                                    \
  out[OUT_D] = mxCreateNumericArray(2,dims,acc_class,mxREAL) ;          \
  dist ## NORM ## _ ## DC ## _ ## AC                                    \
    ( (AC ## _t *)mxGetData(out[OUT_D]),                                \
      (DC ## _t *)s1_pt,                                                \
      (DC ## _t *)s2_pt,                                                \
      L, N1, N2,                                                        \
      self ) ;                                                          \
  break ;

#define DISPATCH_NORM(NORM)                                             \
  case opt_ ## NORM :                                                   \
    if (sparse) {                                                       \
      out[OUT_D] = mxCreateNumericArray(2,dims,mxDOUBLE_CLASS,mxREAL) ; \
      CORE_SPARSE(NORM, VL_XCAT(F_, NORM))                              \
    } else {                                                            \
      switch (data_class) {                                             \
        DISPATCH_CLASS(NORM,  UINT8 , UINT32)                           \
          DISPATCH_CLASS(NORM,  INT8 ,  INT32)                          \
          DISPATCH_CLASS(NORM, UINT16, UINT32)                          \
          DISPATCH_CLASS(NORM,  INT16,  INT32)                          \
          DISPATCH_CLASS(NORM, UINT32, UINT32)                          \
          DISPATCH_CLASS(NORM,  INT32,  INT32)                          \
          DISPATCH_CLASS(NORM, SINGLE, SINGLE)                          \
          DISPATCH_CLASS(NORM, DOUBLE,DOUBLE)                           \
      default:                                                          \
        mexErrMsgTxt("Data class not supported!") ;                     \
      }                                                                 \
    }                                                                   \
  break ;

  switch (norm) {
    DISPATCH_NORM(LINF ) ;
    DISPATCH_NORM(L2   ) ;
    DISPATCH_NORM(L1   ) ;
    DISPATCH_NORM(L0   ) ;
    DISPATCH_NORM(CHI2 ) ;
    DISPATCH_NORM(HELL ) ;

    DISPATCH_NORM(KL2  ) ;
    DISPATCH_NORM(KL1  ) ;
    DISPATCH_NORM(KCHI2) ;
    DISPATCH_NORM(KHELL) ;

    DISPATCH_NORM(MIN  ) ;
  default:
    abort() ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_alldist2.m000066400000000000000000000043341203326130700201070ustar00rootroot00000000000000% VL_ALLDIST2  Pairwise distances
%  D = VL_ALLDIST2(X,Y) returns the pairwise distance matrix D of the
%  columns of S1 and S2, yielding
%
%    D(i,j) = sum (X(:,i) - Y(:,j)).^2
%
%  VL_ALLDIST2(X) returns the pairwise distance matrix fo the columns of
%  S, yielding
%
%    D(i,j) = sum (X(:,i) - X(:,j)).^2
%
%  VL_ALLDIST2(...,'METRIC') changes the computed distance. Supported
%  values for METRIC are
%
%   METRIC  D(i,j)
%   --------------------------------------------------------
%    LINF   max |X  - Y|
%    L2     sum (X  - Y).^2
%    L1     sum |X  - Y|
%    L0     sum (X ~= Y)
%    CHI2   sum (X  - Y).^2 ./ (X + Y)
%    HELL   sum (X^.5 - Y^.5) .^ 2
%
%  (Notice that the standard definition of chi2 is half of what is
%  computed here).
%
%  VL_ALLDIST2(...,'KERNEL') computes the following 'kernels' K:
%
%   KERNEL  K(i,j)
%   ---------------------------------------------------------
%    KL2    sum X .* Y
%    KL1    sum min (X, Y)
%    KCHI2  2 * sum (X .* Y) ./ (X + Y)
%    KHELL  (X .* Y) .^ 0.5
%
%  The constant are chosen so that D(i,j) = K(i,i) + K(j,j) - 2 K(i,j)
%  where D is the metric corresponding to the kenrel (if the arguments
%  are non-negative vectors). Each kernel can be interpreted as the
%  inner product inducing the corresponding metric in an embedding of
%  the real space into an approrpiate reproducing Kenrel Hilbert
%  space.
%
%  VL_ALLDIST2() supports several storage classes. X and Y must have the
%  same storage class. The sotrage class of D is promoted to reduce
%  the chance of overvlow, but this is not checked.
%
%    X & Y class      D class
%   ---------------------------
%    UINT8            UINT32
%     INT8             INT32
%    UINT16           UINT32
%     INT16            INT32
%    UINT32           UINT32
%     INT32            INT32
%    SINGLE           SINGLE
%    DOUBLE           DOUBLE
%
%  Warning: Both chi2 and kchi2 use integer math when presented with
%  integer data types. This can easily result in zeros where you did
%  not expect them.
%
%  See also: VL_HELP().


% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_alphanum.m000066400000000000000000000022321203326130700201710ustar00rootroot00000000000000function [strings, perm] = vl_alphanum(strings)
% VL_ALPHANUM  Sort strings using the Alphanum algorithm
%   STRINGS = VL_ALPHANUM(STRINGS) sorts the cell array of strings
%   STRINGS by using the Alphanum algorithm [1]. [STRINGS,PERM] =
%   VL_ALPHANUM(...) returns the corresponding permutation PERM as
%   well.
%
%   Example::
%     Alphanum sorts strings in a way that 'makes sense'. For instance
%
%      strings = {'B1', 'B2', 'B12', 'A12', 'A1', 'A2'} ;
%      sorted = vl_alphanum(strings) ;
%
%     produces the sorted array {'A1', 'A2', 'A12', 'B1', B2',
%     'B12'}. By contrast, SORT() produces the array {'A1', 'A12',
%     'A2', 'B1', B12', 'B2'} (note the position of the elements
%     'A12', 'B12').
%
%   References:
%   [1] Dave Koelle, 'The Alphanum Algorithm',
%   http://www.davekoelle.com/alphanum.html

chunks = regexp(strings, '(\d+|\D+)', 'tokens') ;
for i = 1:length(strings)
  chunks{i} = [chunks{i}{:}] ;
  for j = 1:length(chunks{i})
    if isstrprop(chunks{i}{j},'digit')
      chunks{i}{j} = sprintf('%020.0f',sscanf(chunks{i}{j},'%d')) ;
    end
  end
  chunks{i} = [chunks{i}{:}] ;
end

[dorp,perm] = sort(chunks) ;
strings = strings(perm) ;
vlfeat-0.9.16/toolbox/misc/vl_argparse.m000066400000000000000000000037361203326130700202020ustar00rootroot00000000000000function [conf, args] = vl_argparse(conf, args, varargin)
% VL_ARGPARSE  Parse list of parameter-value pairs
%   CONF = VL_ARGPARSE(CONF, ARGS) updates the structure CONF based on
%   the specified parameter-value pairs ARGS={PAR1, VAL1, ... PARN,
%   VALN}. The function produces an error if an unknown parameter name
%   is passed in.
%
%   [CONF, ARGS] = VL_ARGPARSE(CONF, ARGS) copies any parameter in
%   ARGS that does not match CONF back to ARGS instead of producing an
%   error.
%
%   Example::
%     The function can be used to parse a list of arguments
%     passed to a MATLAB functions:
%
%       function myFunction(x,y,z,varargin)
%       conf.parameterName = defaultValue ;
%       conf = vl_argparse(conf, varargin)
%
%     If only a subset of the options should be parsed, for example
%     because the other options are interpreted by a subroutine, then
%     use the form
%
%      [conf, varargin] = vl_argparse(conf, varargin)
%
%     that copies back to VARARGIN any unknown parameter.
%
%   See also: VL_OVERRIDE(), VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if ~isstruct(conf), error('CONF must be a structure') ; end

if length(varargin) > 0, args = {args, varargin{:}} ; end

remainingArgs = {} ;
names = fieldnames(conf) ;

if mod(length(args),2) == 1
  error('Parameter-value pair expected (missing value?).') ;
end

for ai = 1:2:length(args)
  paramName = args{ai} ;
  value = args{ai+1} ;
  if isfield(conf,paramName)
    conf.(paramName) = value ;
  else
    % try case-insensitive
    i = find(strcmpi(paramName, names)) ;
    if isempty(i)
      if nargout < 2
        error('Unknown parameter ''%s''.', paramName) ;
      else
        remainingArgs(end+1:end+2) = args(ai:ai+1) ;
      end
    else
      conf.(names{i}) = value ;
    end
  end
end

args = remainingArgs ;
vlfeat-0.9.16/toolbox/misc/vl_binsearch.c000066400000000000000000000036471203326130700203230ustar00rootroot00000000000000/** @internal
 ** @file     vl_binsearch.c
 ** @brief    vl_binsearch - MEX definition
 ** @author   Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum { IN_B=0, IN_X, IN_END } ;
  enum { OUT_IDX=0 } ;
  vl_size numElementsX, numElementsB ;
  const double *X, *B ;
  double *IDX ;

  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }
  if (nin != 2) {
    vlmxError(vlmxErrInvalidArgument,
              "Incorrect number of arguments.") ;
  }
  if (! vlmxIsPlain (IN(B)) ||
      ! vlmxIsPlain (IN(X)) ) {
    vlmxError(vlmxErrInvalidArgument,
              "All arguments must be plain arrays.") ;
  }

  numElementsX = mxGetNumberOfElements(IN(X)) ;
  numElementsB = mxGetNumberOfElements(IN(B)) ;

  {
    mwSize const * dimensions = mxGetDimensions(IN(X)) ;
    vl_size numDimensions = mxGetNumberOfDimensions(IN(X)) ;
    OUT(IDX) = mxCreateNumericArray (numDimensions, dimensions, mxDOUBLE_CLASS, mxREAL) ;
  }

  /* if B is empty it defines only [-inf, +inf) */
  if (numElementsB == 0) return ;

  IDX = mxGetPr(OUT(IDX)) ;
  X = mxGetPr(IN(X)) ;
  B = mxGetPr(IN(B)) ;

  {
    vl_uindex i ;
    for (i = 0 ; i < numElementsX ; ++i) {
      double x = X[i] ;
      vl_uindex blower = 0 ;
      vl_uindex bupper = numElementsB - 1 ;
      vl_uindex bsplit ;

      if (x < B[0]) {
        IDX [i] = 0 ;
        continue ;
      }

      if (x >= B[numElementsB - 1]) {
        IDX [i] = numElementsB ;
        continue ;
      }

      while (blower + 1 < bupper) {
        bsplit = (bupper + blower) / 2 ;
        if (x < B[bsplit]) bupper = bsplit ;
        else blower = bsplit ;
      }
      IDX [i] = blower + 1 ;
    }
  }
}
vlfeat-0.9.16/toolbox/misc/vl_binsearch.m000066400000000000000000000015131203326130700203230ustar00rootroot00000000000000% VL_BINSEARCH  Maps data to bins
%   IDX = VL_BINSEARCH(B, X) maps the elements of X to the bins
%   defined by B. B is a non-decreasing vector of M real numbers
%   defining bins [-inf, B(1)), [B(1), B(2)), ... [B(M) +inf] (note
%   that the last bin contains +inf). The bins are numbered from 0 to
%   M. X is a real (plain) array and IDX is an array with the same
%   dimensions of X, specifying the bin correpsonding to each element
%   of X.
%
%   If B(1) = -inf the bin number 0 is removed and the bin number 1 is
%   [-inf B(2)). If B(M) = +inf, the last bin M is the singleton +inf.
%
%   See also: VL_BINSUM(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_binsum.c000066400000000000000000000075021203326130700176540ustar00rootroot00000000000000/** @internal
 ** @file     binsum.c
 ** @author   Andrea Vedaldi
 ** @brief    vl_binsum.c - MEX definition
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#define REPEAT1_1(m,p) m(1,p)
#define REPEAT1_2(m,p) REPEAT1_1(m,p) m(2,p)
#define REPEAT1_3(m,p) REPEAT1_2(m,p) m(3,p)
#define REPEAT1_4(m,p) REPEAT1_3(m,p) m(4,p)
#define REPEAT1_5(m,p) REPEAT1_4(m,p) m(5,p)
#define REPEAT1_6(m,p) REPEAT1_5(m,p) m(6,p)
#define REPEAT1_7(m,p) REPEAT1_6(m,p) m(7,p)
#define REPEAT1_8(m,p) REPEAT1_7(m,p) m(8,p)
#define REPEAT1_9(m,p) REPEAT1_8(m,p) m(9,p)
#define REPEAT1_10(m,p) REPEAT1_9(m,p) m(10,p)

#define REPEAT2_1(m,p) m(1,p)
#define REPEAT2_2(m,p) REPEAT2_1(m,p) m(2,p)
#define REPEAT2_3(m,p) REPEAT2_2(m,p) m(3,p)
#define REPEAT2_4(m,p) REPEAT2_3(m,p) m(4,p)
#define REPEAT2_5(m,p) REPEAT2_4(m,p) m(5,p)
#define REPEAT2_6(m,p) REPEAT2_5(m,p) m(6,p)
#define REPEAT2_7(m,p) REPEAT2_6(m,p) m(7,p)
#define REPEAT2_8(m,p) REPEAT2_7(m,p) m(8,p)
#define REPEAT2_9(m,p) REPEAT2_8(m,p) m(9,p)
#define REPEAT2_10(m,p) REPEAT2_9(m,p) m(10,p)

#define TYPE_1 double
#define TYPE_2 float
#define TYPE_3 vl_int64
#define TYPE_4 vl_uint64
#define TYPE_5 vl_int32
#define TYPE_6 vl_uint32
#define TYPE_7 vl_int16
#define TYPE_8 vl_uint16
#define TYPE_9 vl_int8
#define TYPE_10 vl_uint8
#define TYPE_AUX(x) TYPE_ ## x
#define TYPE(x) TYPE_AUX(x)

#define CLASS_1  DOUBLE
#define CLASS_2  SINGLE
#define CLASS_3  INT64
#define CLASS_4  UINT64
#define CLASS_5  INT32
#define CLASS_6  UINT32
#define CLASS_7  INT16
#define CLASS_8  UINT16
#define CLASS_9  INT8
#define CLASS_10 UINT8
#define CLASS_AUX(x) CLASS_ ## x
#define CLASS(x) CLASS_AUX(x)

#include "vl_binsum.def"

/* ---------------------------------------------------------------- */
/* */
/* ---------------------------------------------------------------- */

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_ACCUMULATOR = 0, IN_VALUES, IN_INDEXES, IN_DIM} ;
  enum {OUT_ACCUMULATOR = 0} ;
  mxClassID valueClass ;
  mxClassID indexClass ;
  vl_index dim = 0 ;

  if (nin < 3) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nin > 4) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }
  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  if (!vlmxIsReal(IN(ACCUMULATOR))) {
    vlmxError(vlmxErrInvalidArgument, "ACCUMULATOR is not a numeric real array.") ;
  }
  if (!vlmxIsReal(IN(VALUES))) {
    vlmxError(vlmxErrInvalidArgument, "VALUES is not a numeric real array.") ;
  }
  if (!vlmxIsReal(IN(INDEXES))) {
    vlmxError(vlmxErrInvalidArgument, "INDEXES is not a numeric real array.") ;
  }

  indexClass = mxGetClassID(IN(INDEXES)) ;
  valueClass = mxGetClassID(IN(ACCUMULATOR)) ;

  if (valueClass != mxGetClassID(IN(VALUES))) {
    vlmxError(vlmxErrInvalidArgument, "ACCUMULATOR and VALUES do not have the same storage class.") ;
  }

  if (nin > 3) {
    if (!vlmxIsPlainScalar(IN(DIM))) {
      vlmxError(vlmxErrInvalidArgument, "DIM is not a plain scalar.") ;
    }
    dim = (vl_index)mxGetScalar(IN(DIM)) ;
  }

  out[0] = mxDuplicateArray(IN(ACCUMULATOR)) ;

#define DISPATCH(I,V) \
case VL_XCAT3(mx,CLASS(I),_CLASS): \
VL_XCAT4(_vl_binsum_,TYPE(V),_,TYPE(I))(out[0], IN(VALUES), IN(INDEXES), dim) ; break ;

#define DISPATCH_VALUE(V,_) \
  case VL_XCAT3(mx,CLASS(V),_CLASS) : \
    switch (indexClass) { \
      REPEAT2_10(DISPATCH,V) ; \
    default: \
      vlmxError(vlmxErrInvalidArgument, "INDEXES is not of one of the supported storage classes.") ; \
  } \
  break ;

  switch (valueClass) {
      REPEAT1_10(DISPATCH_VALUE,_) ;
    default:
      vlmxError(vlmxErrInvalidArgument, "ACCUMULATOR is not of one of the supported storage classes.") ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_binsum.def000066400000000000000000000175561203326130700202020ustar00rootroot00000000000000/** @file     vl_binsum.def
 ** @author   Andrea Vedaldi
 ** @brief    vl_binsum.def - vl_binsum template
 **/

#ifndef ITERATE_1
# define ITERATE_1 1
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 2
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 3
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 4
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 5
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 6
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 7
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 8
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 9
# include "vl_binsum.def"
# undef ITERATE_1
# define ITERATE_1 10
# include "vl_binsum.def"
# undef ITERATE_1
#else
# ifndef ITERATE_2
#  define ITERATE_2 1
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 2
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 3
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 4
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 5
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 6
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 7
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 8
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 9
#  include "vl_binsum.def"
#  undef ITERATE_2
#  define ITERATE_2 10
#  include "vl_binsum.def"
#  undef ITERATE_2
# endif
#endif

#if defined(ITERATE_1) & defined(ITERATE_2)
# define __VALUE_T__ TYPE(ITERATE_1)
# define __INDEX_T__ TYPE(ITERATE_2)

static void
VL_XCAT4(_vl_binsum_,__VALUE_T__,_,__INDEX_T__)
(mxArray * H_array,
 mxArray const * X_array,
 mxArray const * B_array,
 vl_index dim)
{
  vl_size KH, KX, KB ;
  vl_index j ;
  __VALUE_T__ * H_pt ;
  __VALUE_T__ const * X_pt ;
  __INDEX_T__ const * B_pt ;
  __INDEX_T__ const * B_end ;

  KH = mxGetNumberOfElements(H_array) ; /* accumulator */
  KX = mxGetNumberOfElements(X_array) ; /* values */
  KB = mxGetNumberOfElements(B_array) ; /* accumulator indeces */

  H_pt = (__VALUE_T__ *) mxGetData(H_array) ;
  X_pt = (__VALUE_T__ const *) mxGetData(X_array) ;
  B_pt = (__INDEX_T__ const *) mxGetData(B_array) ;

  B_end = B_pt + KB ;

  if ((KX != KB) && (KX > 1)) {
    vlmxError(vlmxErrInvalidArgument,
              "VALUES and INDEXES do not have the same number of elements nor VALUES is a scalar.") ;
  }

  /* All dimensions mode ------------------------------------------- */
  if (dim <= 0) {

    while (B_pt < B_end) {

      /* next bin to accumulate */
      j = (vl_index)(*B_pt) - 1 ;

      /* bin index out of bounds ?*/
      if(j < -1 || j >= (signed) KH) {
        vlmxError(vlmxErrInconsistentData,
                  "The index INDEXES(%"  VL_FMT_INDEX ") = %" VL_FMT_INDEX " is out of bound.",
                  (vl_index)(B_pt - (__INDEX_T__ const *)mxGetData(B_array) + 1),
                  j + 1) ;
      }

      /* accumulate (but skip null indeces) */
      if (j >= 0) {
        H_pt[j] += *X_pt ;
      }

      /* except for the scalar X case, keep X and B synchronized */
      ++ B_pt ;
      if (KX > 1) ++ X_pt ;
    }
  }

  /* One dimension mode -------------------------------------------- */
  else {
    vl_index k ;
    vl_size d  = dim - 1 ;

    mwSize HD = mxGetNumberOfDimensions(H_array) ;
    mwSize XD = mxGetNumberOfDimensions(X_array) ;
    mwSize BD = mxGetNumberOfDimensions(B_array) ;

    mwSize const * Hdims = mxGetDimensions(H_array) ;
    mwSize const * Xdims = mxGetDimensions(X_array) ;
    mwSize const * Bdims = mxGetDimensions(B_array) ;

    __INDEX_T__ const * B_brk ;
    __INDEX_T__ const * B_nbrk ;

    vl_size srd ;

    /* We need to check a few more details about the matrices */
    if (d >= HD) {
      vlmxError(vlmxErrInconsistentData,
                "DIM is smaller than one or larger than the number of dimensions of ACCUMULATOR.") ;
    }

    /*
     Here either B has the same number of dimensions of H, or B has
     exactly one dimension less and DIM=end.  The latter is a
     special case due to the fact that MATLAB deletes singleton
     dimensions at the ends of arrays, so it would be impossible to
     operate with DIM=end and size(B,end)=1, which is a logically
     acceptable case.
     */

    if (HD != BD) {
      if (! d == HD - 1 && BD == HD - 1) {
        vlmxError(vlmxErrInconsistentData,
                  "ACCUMULATOR and INDEXES do not have the same number of dimensions.") ;
      }
    }

    if ((BD != XD) && (KX > 1)) {
      vlmxError(vlmxErrInconsistentData,
                "VALUES is not a scalar nor has the same number of dimensions of INDEXES.") ;
    }

    /* This will contain the stride required to advance to the next
     * element along dimension DIM. This is the product of all
     * dimensions < d. */

    srd = 1 ;

    for(k = 0 ; k < (signed) XD ; ++k) {
      if (KX > 1 &&  Xdims[k] != Bdims[k]) {
        vlmxError(vlmxErrInconsistentData,
                  "VALUES and INDEXES have incompatible dimensions.") ;
      }
      if (k != (signed) d && (Bdims[k] != Hdims[k])) {
        vlmxError(vlmxErrInconsistentData,
                  "VALUES and ACCUMULATOR have incompatible dimensions.") ;
      }
      if (k < (signed) d) {
        srd = srd * Bdims[k] ;
      }
    }

    /* We sum efficiently by a single pass of B_pt in memory order.
     * This however makes the algorithm a bit more involved. How the
     * sum is performed is easeir understood by an example. Consider
     * the case d = 3 and BD = 5. So elements in B are indexed as
     *
     *  B[i0, i1, id, i4, i5]  (note that id=i3)
     *
     * where the indexes (i0,i1,id,i4,i5) are scanned in column-major
     * orer. For each of such elements, we acces the element
     *
     *  R[i0, i1, B[i0,i1,id,i4,i5], i4, i5]
     *
     * For greater efficiency, we do not compute the multi-indexes
     * explicity; instead we advance B_pt at each iteration and we
     * keep R_pt properly synchronized.
     *
     * In particular, at each iteration we want R_pt to point to
     *
     *  R[i0, i1, 0, i4, i5]
     *
     * Therefore, whenever advancing B_pt correspnds to advancing
     *
     * a - i0, i1 : we advance R_pt
     * b - id     : we advance R_pt and then we subtract srd to move id back
     *              one position;
     * c - i4,i5  : we do the same as before, but then we need to add
     *              srd * Hdims[d] *  elements to move R_pt up one place
     *              after dimension d.
     *
     * We can easily keep track of the three cases without computing
     * explicitly the indexs. In fact, case (a) occurs srd-1
     * consecutive steps and case (b) at the srd step. Similarly, case
     * (c) accurs at step srd * Bdims[d] steps. The pattern repeats
     * regularly.
     */

    KH     = Hdims[d] ;
    B_brk  = B_pt + srd ;              /* next time case (b) */
    B_nbrk = B_pt + srd * Bdims [d] ;  /* next time case (c) */

    while (B_pt < B_end) {

      /* next bin to accumulate */
      j = (vl_index)(*B_pt) - 1;

      /* index out of bounds? */
      if(j < -1 || j >= (signed) KH) {
        vlmxError(vlmxErrInconsistentData,
                  "The index INDEXES(%"  VL_FMT_INDEX ") = %" VL_FMT_INDEX " is out of bounds.",
                  (vl_index)(B_pt - (__INDEX_T__ * const)mxGetData(B_array)) + 1,
                  j + 1) ;
      }

      /* accumulate (but skip null indeces) */
      if (j >= 0) {
        H_pt [j * srd] += *X_pt ;
      }

      /* next element */
      if (KX > 1) X_pt++ ;
      B_pt ++ ;
      H_pt ++ ;

      if (B_pt == B_brk) {                 /* case (b) occurs */
        B_brk += srd ;                     /* next time case (b) */
        H_pt  -= srd ;
        if (B_pt == B_nbrk) {              /* case (c) occurs */
          B_nbrk += srd * Bdims[d] ;       /* next time case (c) */
          H_pt   += srd * Hdims[d] ;
        }
      }
    }
  }
}

#undef __VALUE_T__
#undef __INDEX_T__
#endif
vlfeat-0.9.16/toolbox/misc/vl_binsum.m000066400000000000000000000035041203326130700176640ustar00rootroot00000000000000% VL_BINSUM  Binned summation
%   ACCUMULATOR = VL_BINSUM(ACCUMULATOR,VALUES,INDEXES) adds the
%   elements of the array VALUES to the elements of the array
%   ACCUMULATOR indexed by INDEXES. VALUES and INDEXES must have the
%   same dimensions, and the elements of INDEXES must be valid indexes
%   for the array ACCUMULATOR (except for null indexes, which are
%   silently skipped). An application is the calculation of a
%   histogram ACCUMULATOR, where INDEXES are the bin occurences and
%   VALUES are the occurence weights.
%
%   VL_BINSUM(...,DIM) operates only along the specified dimension
%   DIM. In this case, ACCUMULATOR, VALUES and INDEXES are array of
%   the same dimensions, except for the dimension DIM of ACCUMULATOR,
%   which may differ, and INDEXES is an array of subscripts of the
%   DIM-th dimension of ACCUMULATOR. A typical application is the
%   calculation of multiple histograms, where each histogram is a
%   1-dimensional slice of the array ACCUMULATOR along the dimension
%   DIM.
%
%   VALUES can also be a scalar. In this case, the value of VALUES is
%   summed to all the specified bins.
%
%   ACCUMULATOR and VALUES must have the same storage
%   class. ACCUMULATOR, VALUES, and INDEXES can be either DOUBLE,
%   SINGLE, UINT64, INT64, UINT32, INT32, UINT16, INT16, UINT8,
%   INT8. Integer math uses modulo-2 arithmetic (most MATLAB functions
%   saturate instead).
%
%   Example::
%     The following relations illustrate VL_BINSUM() behavior:
%       VL_BINSUM([0 0],  1, 2) = [0 1]
%       VL_BINSUM([1 7], -1, 1) = [0 7]
%       VL_BINSUM(EYE(3), [1 1 1], [1 2 3], 1) = 2*EYE(3)
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_colsubset.m000066400000000000000000000045311203326130700203730ustar00rootroot00000000000000function [Y, sel] = vl_colsubset(X,n,varargin)
% VL_COLSUBSET Select a given number of columns
%   Y = VL_COLSUBSET(X, N) returns a random subset Y of N columns of
%   X. The selection is order-preserving and without replacement. If N
%   is larger or equal to the number of columns of X (e.g. N = Inf),
%   then the function returns all the columns (i.e., Y = X).
%
%   If 0 < N < 1, then the function returns a fraction N of the
%   columns (rounded to the closest integer).
%
%   [Y, SEL] = VL_COLSUBSET(...) returns the indexes SEL of the
%   selected columns.
%
%   The function accepts the following options:
%
%   Beginning::
%     Returns the fist N columns.
%
%   Ending::
%     Returns the last N columns.
%
%   Random:: [default]
%     Returns N columns selected at random (using RANDPERM()).
%
%   Uniform::
%     Returns N uniformly spaced columns.
%
%   Largest::
%     Returns the N largest columns (using SORTROWS()).
%
%   Smallest::
%     Returns the N smallest columns (using SORTROWS()).
%
%  See also: VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin < 2, n = 1 ; end

mode = 'random' ;
i = 1 ;
while i <= length(varargin)
  switch lower(varargin{i})
    case {'beginning', ...
          'ending', ...
          'random', ...
          'uniform', ...
          'largest', ...
          'smallest'}
      mode = lower(varargin{1}) ;
      i = i + 1 ;
    otherwise
      error('Unknown option ''%s''.', varargin{i}) ;
  end
end

m = size(X,2) ;

if n < 0, error('N must not be smaller than 0.') ; end
if n ~= round(n)
  if n > 1
    error('N must be a natural number, +inf, or a fraction in 0 and 1.') ;
  end
  n = round(m * n) ;
end

n = min(m,n) ;

switch mode
  case 'random'
    perm = randperm(m) ;
    sel  = sort(perm(1:n)) ;
  case 'beginning'
    perm = 1:m ;
    sel  = sort(perm(1:n)) ;
  case 'ending'
    perm = m:-1:1 ;
    sel  = sort(perm(1:n)) ;
  case 'uniform'
    if n < 1
      sel = [] ;
    else
      sel = round(linspace(1, m, min(m,n))) ;
    end
  case 'largest'
    [drop, perm] = sortrows(X') ;
    sel = sort(perm(end-n+1:end)) ;
  case 'smallest'
    [drop, perm] = sortrows(X') ;
    sel = sort(perm(1:n)) ;
end

Y = X(:, sel) ;
vlfeat-0.9.16/toolbox/misc/vl_cummax.c000066400000000000000000000074351203326130700176560ustar00rootroot00000000000000/** @file vl_cummax.c
 ** @brief vl_cummax MEX defition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#define REPEAT1_1(m,p) m(1,p)
#define REPEAT1_2(m,p) REPEAT1_1(m,p) m(2,p)
#define REPEAT1_3(m,p) REPEAT1_2(m,p) m(3,p)
#define REPEAT1_4(m,p) REPEAT1_3(m,p) m(4,p)
#define REPEAT1_5(m,p) REPEAT1_4(m,p) m(5,p)
#define REPEAT1_6(m,p) REPEAT1_5(m,p) m(6,p)
#define REPEAT1_7(m,p) REPEAT1_6(m,p) m(7,p)
#define REPEAT1_8(m,p) REPEAT1_7(m,p) m(8,p)
#define REPEAT1_9(m,p) REPEAT1_8(m,p) m(9,p)
#define REPEAT1_10(m,p) REPEAT1_9(m,p) m(10,p)

#define TYPE_1 double
#define TYPE_2 float
#define TYPE_3 vl_int64
#define TYPE_4 vl_uint64
#define TYPE_5 vl_int32
#define TYPE_6 vl_uint32
#define TYPE_7 vl_int16
#define TYPE_8 vl_uint16
#define TYPE_9 vl_int8
#define TYPE_10 vl_uint8
#define TYPE_AUX(x) TYPE_ ## x
#define TYPE(x) TYPE_AUX(x)

#define CLASS_1  DOUBLE
#define CLASS_2  SINGLE
#define CLASS_3  INT64
#define CLASS_4  UINT64
#define CLASS_5  INT32
#define CLASS_6  UINT32
#define CLASS_7  INT16
#define CLASS_8  UINT16
#define CLASS_9  INT8
#define CLASS_10 UINT8
#define CLASS_AUX(x) CLASS_ ## x
#define CLASS(x) CLASS_AUX(x)

#include "vl_cummax.def"

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_X, IN_DIM, IN_END} ;
  enum {OUT_Y = 0} ;
  vl_index whichDimension = 0 ;
  vl_size dimension ;
  vl_size numDimensions ;
  mwSize const * dimensions ;
  mxClassID classId ;
  vl_size stride = 1 ;
  vl_index k ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */
  if (nin < 1) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  } else if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  } else if (nin > 2) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }

  /* get information on the data */
  if (!mxIsNumeric(IN(X))) {
    vlmxError(vlmxErrInvalidArgument, "X is not a numeric array.") ;
  }
  classId = mxGetClassID(IN(X)) ;
  numDimensions = mxGetNumberOfDimensions(IN(X)) ;
  dimensions = mxGetDimensions(IN(X)) ;

  /* get the operating dimension */
  if (nin == 2) {
    if (!vlmxIsPlainScalar(IN(DIM))) {
      vlmxError(vlmxErrInvalidArgument, "DIM is not a plain scalar.") ;
    }
    whichDimension = mxGetScalar(IN(DIM)) ;
    if (whichDimension < 1 || whichDimension > (signed)numDimensions) {
      vlmxError(vlmxErrInvalidArgument,
                "DIM=%d is not a valid dimension of X.", whichDimension) ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

  OUT(Y) = mxCreateNumericArray(numDimensions, dimensions, classId, mxREAL) ;

  if (whichDimension >= 1) {
    /*
      Compute the stride to whichDimension.
    */
    for (k = 0 ; k < whichDimension - 1 ; ++k) {
      stride *= dimensions[k] ;
    }
  } else {
    /*
      Pick the first non-singleton dimension, if any. Note that in
      this case the stride is equal to 1.
    */
    for (k = 0 ; k < (signed)numDimensions-1 && dimensions[k] == 1 ; ++k) ;
    whichDimension = k + 1 ;
  }
  dimension = dimensions[whichDimension - 1] ;

#define DISPATCH(I,V) \
case VL_XCAT3(mx,CLASS(I),_CLASS): \
  VL_XCAT(_vl_cummax_,TYPE(I))(OUT(Y), IN(X), stride, dimension) ; break ;

  switch (classId) {
    REPEAT1_10(DISPATCH,_) ;
  default :
      vlmxError(vlmxErrInvalidArgument, "X is not of one of the supported storage classes.") ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_cummax.def000066400000000000000000000046431203326130700201700ustar00rootroot00000000000000/** @file vl_cummax.def
 ** @brief vl_cummax MEX helper template
 ** @author Andrea Vedaldi
 **/

/* Copyright
*/

/* include this file for different values of ITERATE_1 */
#ifndef ITERATE_1
# define ITERATE_1 1
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 2
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 3
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 4
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 5
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 6
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 7
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 8
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 9
# include "vl_cummax.def"
# undef ITERATE_1
# define ITERATE_1 10
# include "vl_cummax.def"
# undef ITERATE_1
#endif

/*
For each value of ITERATE_1, instantiate the algorithm for a different
data type.
*/

#if defined(ITERATE_1)
# define __VALUE_T__ TYPE(ITERATE_1)

/*
The algorithm scans in linear order the input data X. X indexed as
X[i1,i2,i3,...,iD] where D is the number of dimensions. In order to
operate on the d-th dimension, one defines the output Y as

                   / MAX(Y[i1,i2,...,id - 1,...], X[i1,i2,...,id,...]),  if id > 0 (OP),
  Y[i1,i2,...]  = <
                   \ X[i1,i2,...,id,...],                                if id = 0 (COPY).

So by scanning X in column major, one has id = 0 while i1,i2,...,id-1
traverse the first STRIDE = D1*D2*...*D_{d-1} elements and performs a
COPY operation. Then id is incremented by one and remains > 0 until
D1*D2*...*D_{d-1}*Dd elemenets are visited overall, and performs OP
operations (MAX in this case). Then id = 0 again and so on until all
elements are visited.  */

VL_INLINE void
VL_XCAT(_vl_cummax_,__VALUE_T__)
(mxArray * Y_array,
 mxArray const * X_array,
 vl_size stride,
 vl_size dimension)
{
  __VALUE_T__ const * x = (__VALUE_T__*) mxGetData(X_array) ;
  __VALUE_T__ const * x_stop = x + mxGetNumberOfElements(X_array) ;
  __VALUE_T__ * y = (__VALUE_T__*) mxGetData(Y_array) ;
  while (x < x_stop) {
    __VALUE_T__ const *  x_ops_stop  = x + stride ;
    /* copy stride elements */
    while (x < x_ops_stop) {
      *y++ = *x++ ;
    }
    /* op stride * (dimension - 1) */
    x_ops_stop += stride * (dimension - 1) ;
    while (x < x_ops_stop) {
      *y = VL_MAX(*x, *(y - stride)) ;
      ++ y ;
      ++ x ;
    }
  }
}

#undef __VALUE_T__
#endif
vlfeat-0.9.16/toolbox/misc/vl_cummax.m000066400000000000000000000013011203326130700176520ustar00rootroot00000000000000% VL_CUMMAX  Cumulative maximum
%   If X is a vector, VL_CUMMAX(X) is the vector with the cumulative
%   maximum of X. If X is a matrix, VL_CUMMAX(X) is the matrix of the
%   cumulative maximum of the columns of X. If X is a multi-dimensional
%   array, VL_CUMMAX(X) operates along the first non-singleton
%   dimension.
%
%   The function is analogous to CUMSUM() and CUMPROD(), but it
%   computes the cumulative maximum rather than the cumulative sum or
%   product.
%
%   The array X can be of any numeric class.
%
%   Example::
%     The cumulative maximum VL_CUMMAX([1 2 3 2 1]) is the vector
%     [1 2 3 3 3].
%
%   See also: CUMSUM(), CUMPROD(), VL_HELP().

% Author: Andrea Vedaldi

% Copyright
vlfeat-0.9.16/toolbox/misc/vl_getpid.c000066400000000000000000000015241203326130700176310ustar00rootroot00000000000000/** @internal
 ** @file    vl_getpid.c
 ** @author  Andrea Vedaldi
 ** @brief   MEX implementation of VL_GETPID()
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#ifdef VL_OS_WIN
#include 
#else
#include 
#endif

#include 

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[] VL_UNUSED)
{
  double pid ;

  if (nin > 0) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }
  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

#ifdef VL_OS_WIN
  pid = (double) GetCurrentProcessId() ;
#else
  pid = (double) getpid() ;
#endif
  out[0] = vlmxCreatePlainScalar (pid) ;
}
vlfeat-0.9.16/toolbox/misc/vl_getpid.m000066400000000000000000000004521203326130700176420ustar00rootroot00000000000000% VL_GETPID Get MATLAB process ID
%   VL_GETPID() returns MATLAB process ID.
%
%   Algorithm::
%     VL_GETPID() returns the result of the getpid() system call on
%     UNIX-like operating systems and of GetCurrentProcessID() on
%     Windows.
%
%   See also: VL_HELP().

% Authors: Andrea Vedaldi
vlfeat-0.9.16/toolbox/misc/vl_grad.m000066400000000000000000000032761203326130700173120ustar00rootroot00000000000000function [Ix,Iy] = vl_grad(I,varargin) ;
% VL_GRAD Compute the gradient of an image
%   [IX,IY] = VL_GRAD(I) returns the gradient components IX,IY of the
%   2-D discrete function I. I must be a two-dimensional
%   matrix. VL_GRAD() computes the gradient by using finite
%   differences; specifically, it uses central differences for all but
%   the boundary pixels, for which it uses forward/backward
%   differences as appropriate.
%
%   Remark::
%     VL_GRAD() is similar to the MATLAB built-in GRADIENT() function,
%     excepts that it supports different gradient approximations.
%
%   VL_GRAD() accepts the following options:
%
%   Type:: central
%     Specify which type of finite differences to use for all but the
%     boundary samples. TYPE can be one of 'central', 'forward', or
%     'backward'.
%
%   See also: GRADIENT(), VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.type = 'central' ;
opts = vl_argparse(opts, varargin) ;

switch lower(opts.type)
  case 'central'
    Ix = [ I(:,2)-I(:,1) , ...
           0.5*(I(:,3:end)-I(:,1:end-2)) , I(:,end)-I(:,end-1) ] ;
    Iy = [ I(2,:)-I(1,:) ; ...
           0.5*(I(3:end,:)-I(1:end-2,:)) ; I(end,:)-I(end-1,:) ] ;
  case 'forward'
    Ix = [ I(:,2:end)-I(:,1:end-1) , I(:,end)-I(:,end-1) ] ;
    Iy = [ I(2:end,:)-I(1:end-1,:) ; I(end,:)-I(end-1,:) ] ;
  case 'backward'
    Ix = [ I(:,2)-I(:,1) , I(:,2:end)-I(:,1:end-1)] ;
    Iy = [ I(2,:)-I(1,:) ; I(2:end,:)-I(1:end-1,:)] ;
  otherwise
    error('Difference type ''%s'' unknown.', opts.type) ;
end
vlfeat-0.9.16/toolbox/misc/vl_histmarg.m000066400000000000000000000016201203326130700202020ustar00rootroot00000000000000function H = vl_histmarg(H, dims)
% VL_HISTMARG  Marginal of histogram
%   H = VL_HISTMARG(H, DIMS) marginalizes the historgram H w.r.t the
%   dimensions DIMS. This is done by summing out all dimensions not
%   listed in DIMS and deleting them.
%
%   Remark::
%     If DIMS lists only one dimension, the returned histogram H is a
%     column vector. Notice that this way of deleting dimensions is
%     not always consistent with the SQUEEZE function.
%
%   See also: VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

sz = size(H) ;

for d=setdiff(1:length(sz), dims(:))
  H = sum(H, d) ;
end

% Squeeze out marginalized dimensions
sz = sz(dims(:)) ;
sz = [sz ones(1,2-length(dims(:)))] ;
H = reshape(H, sz) ;
vlfeat-0.9.16/toolbox/misc/vl_hog.c000066400000000000000000000236661203326130700171450ustar00rootroot00000000000000/** @file vl_hog.c
 ** @brief vl_hog MEX definition.
 ** @author Andrea Vedaldi
 **/

/*
 Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
 All rights reserved.

 This file is part of the VLFeat library and is made available under
 the terms of the BSD license (see the COPYING file).
 */

#include 
#include 

/* option codes */
enum {
  opt_verbose, opt_variant,
  opt_num_orientations,
  opt_directed_polar_field,
  opt_undirected_polar_field,
  opt_bilinear_orientations
} ;

/* options */
vlmxOption  options [] = {
  {"Verbose",              0,   opt_verbose                      },
  {"Variant",              1,   opt_variant                      },
  {"NumOrientations",      1,   opt_num_orientations             },
  {"DirectedPolarField",   0,   opt_directed_polar_field         },
  {"UndirectedPolarField", 0,   opt_undirected_polar_field       },
  {"BilinearOrientations", 0,   opt_bilinear_orientations        },
  {0,                      0,   0                                }
} ;

enum Mode {ExtractFeatures, Render, GetPermutation} ;
enum InputType {Image, DirectedPolarField, UndirectedPolarField} ;

static char const * inputTypeNames [] = {
  "Image",
  "DirectedPolarField",
  "UndirectedPolarField"
} ;

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  mxArray const * descriptor_array ;
  float const * descriptor ;
  float const * image ;
  vl_size width, height, numChannels ;
  vl_size cellSize = 16 ;
  vl_size numOrientations = 9 ;
  vl_bool bilinearOrientations = VL_FALSE ;
  VlHogVariant variant = VlHogVariantUoctti ;
  char const * variantName ;
  enum {IN_I = 0, IN_CELLSIZE, IN_END} ;
  enum {OUT_FEATURES = 0} ;

  vl_bool verbose = 0 ;
  int opt, next ;
  mxArray const *optarg ;

  enum Mode mode = ExtractFeatures ;
  enum InputType inputType = Image ;


  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  if (vlmxIsString(IN(I), -1)) {
    mxArray const * string_array = IN(I) ;
    if (vlmxIsEqualToStringI(string_array, "permutation")) {
      /* perm = vl_hog('permutation') */
      mode = GetPermutation ;
      next = 1 ;

    } else if (vlmxIsEqualToStringI(string_array, "render")) {
      /* image = vl_hog('render', descriptor) */
      mode = Render ;
      descriptor_array = IN(CELLSIZE) ;
      next = 2 ;
      if (! mxIsNumeric(descriptor_array) ||
          ! vlmxIsReal(descriptor_array) ||
          mxGetClassID(descriptor_array) != mxSINGLE_CLASS) {
        vlmxError(vlmxErrInvalidArgument,
        "DESCRIPTOR is not a real numeric array of class SINGLE.") ;
      }
      if (mxGetNumberOfDimensions(descriptor_array) > 3) {
        vlmxError(vlmxErrInvalidArgument,
                  "DESCRIPTOR has more than three dimensions.") ;
      }
      if (mxGetNumberOfDimensions(descriptor_array) == 3) {
        numChannels = mxGetDimensions(descriptor_array)[2] ;
      } else {
        numChannels = 1 ;
      }
      descriptor = mxGetData(descriptor_array) ;
      height = mxGetDimensions(descriptor_array)[0] ;
      width = mxGetDimensions(descriptor_array)[1] ;
    } else {
      vlmxError(vlmxErrInvalidArgument,
                "The first argument is neither an image nor a recognized command.") ;
    }
  } else {
    /* descriptor = vl_hog(image, cellSize) */
    mode = ExtractFeatures ;
    next = 2 ;
    if (nin < 2) {
      vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
    }
    if (! mxIsNumeric(IN(I)) ||
        ! vlmxIsReal(IN(I)) ||
        mxGetClassID(IN(I)) != mxSINGLE_CLASS) {
      vlmxError(vlmxErrInvalidArgument,
                "I is not a real numeric array of class SINGLE.") ;
    }
    if (mxGetNumberOfDimensions(IN(I)) > 3) {
      vlmxError(vlmxErrInvalidArgument,
                "I has more than three dimensions.") ;
    }
    if (mxGetNumberOfDimensions(IN(I)) == 3) {
      numChannels = mxGetDimensions(IN(I))[2] ;
    } else {
      numChannels = 1 ;
    }
    if (! vlmxIsPlainScalar(IN(CELLSIZE))) {
      vlmxError(vlmxErrInvalidArgument,
                "CELLSIZE is not a plain scalar.") ;
    }
    if (mxGetScalar(IN(CELLSIZE)) < 1.0) {
      vlmxError(vlmxErrInvalidArgument,
                "CELLSIZE is less than 1.") ;
    }
    cellSize = (vl_size) mxGetScalar(IN(CELLSIZE)) ;
    image = mxGetData(IN(I)) ;
    height = mxGetDimensions(IN(I))[0] ;
    width = mxGetDimensions(IN(I))[1] ;
  }

  /* parse the options */
  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
      case opt_variant :
        if (! vlmxIsString(optarg, -1)) {
          vlmxError(vlmxErrInvalidArgument, "VARIANT must be a string") ;
        }
        if (vlmxIsEqualToStringI(optarg, "uoctti")) {
          variant = VlHogVariantUoctti ;
        } else if (vlmxIsEqualToStringI(optarg, "dalaltriggs")) {
          variant = VlHogVariantDalalTriggs ;
        } else {
          vlmxError(vlmxErrInvalidArgument, "The option VARIANT has an unknown value.") ;
        }
        break ;

      case opt_num_orientations :
        if (! vlmxIsPlainScalar(optarg)) {
          vlmxError(vlmxErrInvalidArgument, "NUMORIENTATIONS is not a plain scalar.") ;
        }
        if (mxGetScalar(optarg) < 1) {
          vlmxError(vlmxErrInvalidArgument, "NUMORIENTATIONS is smaller than one.") ;
        }
        numOrientations = mxGetScalar(optarg) ;
        break;

      case opt_directed_polar_field :
        inputType = DirectedPolarField ;
        break ;

      case opt_undirected_polar_field :
        inputType = UndirectedPolarField ;
        break ;

      case opt_bilinear_orientations :
        bilinearOrientations = VL_TRUE ;
        break ;

      case opt_verbose :
        ++ verbose ;
        break ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                        Do the job
   * -------------------------------------------------------------- */

  switch (variant) {
    case VlHogVariantUoctti : variantName = "UOCTTI" ; break ;
    case VlHogVariantDalalTriggs : variantName = "DalalTriggs" ; break ;
    default: assert(0) ; break ;
  }

  switch (mode) {
    case ExtractFeatures :
    {
      /* recall that MATLAB images are transposed */
      VlHog * hog = vl_hog_new (variant, numOrientations, VL_TRUE) ;
      mwSize dimensions [3] ;

      vl_hog_set_use_bilinear_orientation_assignments (hog, bilinearOrientations) ;

      if ((inputType == DirectedPolarField ||
           inputType == UndirectedPolarField) &&
          numChannels != 2) {
        vlmxError(vlmxErrInvalidArgument,
                  "NUMCHANNELS=%d is not equal to two with input of type %s.",
                  numChannels, inputTypeNames[inputType]) ;
      }

      switch (inputType) {
      case Image:
        vl_hog_put_image(hog, image, height, width, numChannels, cellSize) ;
        break ;
      case DirectedPolarField:
      case UndirectedPolarField:
        vl_hog_put_polar_field(hog, image, image + height*width,
                               inputType == DirectedPolarField,
                               height, width, cellSize) ;
          break ;
      default:
        assert(0) ;
      }

      dimensions[0] = vl_hog_get_width(hog) ;
      dimensions[1] = vl_hog_get_height(hog) ;
      dimensions[2] = vl_hog_get_dimension(hog) ;

      if (verbose) {
        mexPrintf("vl_hog: image: [%d x %d x %d]\n", height, width, numChannels) ;
        mexPrintf("vl_hog: descriptor: [%d x %d x %d]\n", dimensions[0], dimensions[1], dimensions[2]) ;
        mexPrintf("vl_hog: number of orientations: %d\n", numOrientations) ;
        mexPrintf("vl_hog: bilinear orientation assignments: %s\n", VL_YESNO(vl_hog_get_use_bilinear_orientation_assignments(hog))) ;
        mexPrintf("vl_hog: variant: %s\n", variantName) ;
        mexPrintf("vl_hog: input type: %s\n", inputTypeNames[inputType]) ;
      }

      OUT(FEATURES) = mxCreateNumericArray(3, dimensions, mxSINGLE_CLASS, mxREAL) ;
      vl_hog_extract (hog, mxGetData(OUT(FEATURES))) ;
      vl_hog_delete(hog) ;
      break ;
    }

    case GetPermutation :
    {
      VlHog * hog = vl_hog_new(variant, numOrientations, VL_TRUE) ;
      vl_size dimension = vl_hog_get_dimension(hog) ;
      vl_uindex k ;
      vl_uint32 * permutationOut ;
      vl_index const * permutation ;

      if (verbose) {
        mexPrintf("vl_hog: number of orientations: %d\n", numOrientations) ;
        mexPrintf("vl_hog: variant: %s\n", variantName) ;
      }

      OUT(FEATURES) = mxCreateNumericMatrix(dimension, 1, mxUINT32_CLASS, mxREAL) ;
      permutationOut = mxGetData(OUT(FEATURES)) ;
      permutation = vl_hog_get_permutation(hog) ;
      for (k = 0 ; k < dimension ; ++k) {
        permutationOut[k] = permutation[k] + 1 ;
      }
      break ;
    }

    case Render :
    {
      VlHog * hog = vl_hog_new(variant, numOrientations, VL_TRUE) ;
      vl_size glyphSize = vl_hog_get_glyph_size(hog) ;
      vl_size imageHeight = glyphSize * height ;
      vl_size imageWidth = glyphSize * width ;

      if (numChannels != vl_hog_get_dimension(hog)) {
        vlmxError(vlmxErrInvalidArgument,
                  "The third dimension of DESCRIPTOR is not equal to the dimension of a HOG descriptor.");
      }

      if (verbose) {
        mexPrintf("vl_hog: descriptor: [%d x %d x %d]\n", height, width, numChannels) ;
        mexPrintf("vl_hog: glyph image: [%d x %d]\n", imageHeight, imageWidth) ;
        mexPrintf("vl_hog: number of orientations: %d\n", numOrientations) ;
        mexPrintf("vl_hog: variant: %s\n", variantName) ;
      }

      OUT(FEATURES) = mxCreateNumericMatrix(imageHeight, imageWidth, mxSINGLE_CLASS, mxREAL) ;
      vl_hog_render(hog,
                    mxGetData(OUT(FEATURES)),
                    descriptor, height, width) ;
      break ;
    }
  }
}
vlfeat-0.9.16/toolbox/misc/vl_hog.m000066400000000000000000000030311203326130700171370ustar00rootroot00000000000000% VL_HOG Compute HOG features
%   HOG = VL_HOG(IM, CELLSIZE) computes the HOG features for image IM
%   and the specified CELLSIZE. IM can be either grayscale or colour
%   in SINGLE storage class. HOG is an array of cells: its number
%   of columns is approximately the number of columns of IM divided
%   by CELLSIZE and the same for the number of rows. The third
%   dimension spans the feature compoents.
%
%   PERM = VL_HOG('permutation') returns the left-right permutation
%   to apply to each HOG cell to flip it.
%
%   IMAGE = VL_HOG('render', HOG) returns an IMAGE containing an
%   iconic representation of the array of cells HOG.
%
%   Options:
%
%   Variant:: 'UoCTTI'
%     Choose a HOG variant: 'UoCTTI' or 'Dalal-Triggs'.
%
%   NumOrientations:: 9
%     Choose a number of undirected orientations in the orientation
%     histograms. The angle [0,pi) is divided in to NumOrientation
%     equal parts.
%
%   DirectedPolarField::
%     By specifying this flag the image IM is interpreted as samples
%     from a 2D vector field specified by their argument IM(:,:,2) and
%     modulus IM(:,:,1).
%
%   UndirectedPolarField::
%     Same as above, but wraps angles in [0,pi).
%
%   BilinearOrientations::
%     This flags activates the use of bilinear interpolation to assign
%     orientations to bins. This produces a smoother feature, but is
%     not some other implementations (e.g. UoCTTI).
%
%   Example:: computing and visualizing HOG features
%     hog = vl_hog(im2single(im)) ; % compute HOG features

% Author: Andrea Vedaldi

% AUTORIGHTSvlfeat-0.9.16/toolbox/misc/vl_homkermap.c000066400000000000000000000126711203326130700203450ustar00rootroot00000000000000/** @file   vl_homkmap.c
 ** @brief  vl_homkmap - MEX implementation
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "mexutils.h"
#include 
#include 
#include 

enum {
  opt_KCHI2,
  opt_KL1,
  opt_KJS,
  opt_KINTERS,
  opt_gamma,
  opt_period,
  opt_window
} ;

vlmxOption options [] = {
  {"kl1",          0,   opt_KL1           },
  {"kchi2",        0,   opt_KCHI2         },
  {"kjs",          0,   opt_KJS           },
  {"kinters",      0,   opt_KINTERS       },
  {"gamma",        1,   opt_gamma         },
  {"period",       1,   opt_period        },
  {"window",       1,   opt_window        },
  {0,              0,   0                 }
} ;

/* -------------------------------------------------------------------
 *                                                              Driver
 * ---------------------------------------------------------------- */

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{

  typedef int unsigned data_t ;

  enum {IN_X = 0, IN_N, IN_END} ;
  enum {OUT_V = 0} ;
  VlHomogeneousKernelType kernelType = VlHomogeneousKernelChi2 ;
  VlHomogeneousKernelMapWindowType windowType = VlHomogeneousKernelMapWindowRectangular ;
  mwSize numDimensions ;
  mwSize const * dimensions ;
  mxClassID dataClassId ;
  double gamma = 1.0 ;
  int n ;
  double period = -1 ;

  /* for option parsing */
  int opt ;
  int next = IN_END ;
  mxArray const *optarg ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }
  if (nin < IN_END) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }

  dataClassId = mxGetClassID(IN(X)) ;
  if (dataClassId != mxDOUBLE_CLASS &&
      dataClassId != mxSINGLE_CLASS) {
    vlmxError(vlmxErrInvalidArgument, "X is neither DOUBLE nor SINGLE.") ;
  }

  numDimensions = mxGetNumberOfDimensions(IN(X)) ;
  dimensions = mxGetDimensions(IN(X)) ;

  if (! vlmxIsPlainScalar(IN(N))) {
    vlmxError(vlmxErrInvalidArgument, "N is not a scalar.") ;
  }
  n = *mxGetPr(IN(N)) ;
  if (n < 0) {
    vlmxError(vlmxErrInvalidArgument, "N is negative.") ;
  }

  while ((opt = vlmxNextOption(in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
      case opt_KINTERS:
      case opt_KL1:
        kernelType = VlHomogeneousKernelIntersection ;
        break ;
      case opt_KCHI2:
        kernelType = VlHomogeneousKernelChi2 ;
        break ;
      case opt_KJS:
        kernelType = VlHomogeneousKernelJS ;
        break ;
      case opt_period:
        if (! vlmxIsPlainScalar(optarg)){
          vlmxError(vlmxErrInvalidArgument, "PERIOD is not a scalar.") ;
        }
        period = *mxGetPr(optarg) ;
        if (period <= 0) {
          vlmxError(vlmxErrInvalidArgument, "PERIOD is not positive.") ;
        }
        break ;
      case opt_gamma:
        if (! vlmxIsPlainScalar(optarg)){
          vlmxError(vlmxErrInvalidArgument, "GAMMA is not a scalar.") ;
        }
        gamma = *mxGetPr(optarg) ;
        if (gamma <= 0) {
          vlmxError(vlmxErrInvalidArgument, "GAMMA is not positive.") ;
        }
        break ;
      case opt_window:
        if (! vlmxIsString(optarg,-1)){
          vlmxError(vlmxErrInvalidArgument, "WINDOW is not a string.") ;
        } else {
          char buffer [1024] ;
          mxGetString(optarg, buffer, sizeof(buffer) / sizeof(char)) ;
          if (vl_string_casei_cmp("uniform", buffer) == 0) {
            windowType = VlHomogeneousKernelMapWindowUniform ;
          } else if (vl_string_casei_cmp("rectangular", buffer) == 0) {
            windowType = VlHomogeneousKernelMapWindowRectangular ;
          } else {
            vlmxError(vlmxErrInvalidArgument, "WINDOW=%s is not recognized.", buffer) ;
          }
        }
        break ;
      default:
        abort() ;
    }
  }

  /* -----------------------------------------------------------------
   *                                               Evaluate kernel map
   * -------------------------------------------------------------- */

  {
    vl_uindex j ;
    vl_size numElements = mxGetNumberOfElements(IN(X)) ;
    VlHomogeneousKernelMap * map = vl_homogeneouskernelmap_new (kernelType, gamma, n, period, windowType) ;
    mwSize extDimensions [20] ;
    for (j = 0 ; j < numDimensions ; ++j) extDimensions[j] = dimensions[j] ;
    extDimensions[0] *= 2*n+1 ;
    OUT(V) = mxCreateNumericArray(numDimensions, extDimensions, dataClassId, mxREAL) ;
    switch (dataClassId) {
      case mxDOUBLE_CLASS :
      {
        double * X = mxGetData(IN(X)) ;
        double * V = mxGetData(OUT(V)) ;
        for (j = 0 ; j < numElements ; ++j) {
          vl_homogeneouskernelmap_evaluate_d(map, V, 1, *X++) ;
          V += 2*n+1 ;
        }
        break ;
      }
      case mxSINGLE_CLASS :
      {
        float * X = mxGetData(IN(X)) ;
        float * V = mxGetData(OUT(V)) ;
        for (j = 0 ; j < numElements ; ++j) {
          vl_homogeneouskernelmap_evaluate_f(map, V, 1, *X++) ;
          V += 2*n+1 ;
        }
        break ;
      }
      default:
        abort() ;
    }
    vl_homogeneouskernelmap_delete (map) ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_homkermap.m000066400000000000000000000052011203326130700203460ustar00rootroot00000000000000% VL_HOMKERMAP Homogeneous kernel map
%   V = VL_HOMKERMAP(X, N) computes a 2*N+1 dimensional approximated
%   kernel map for the Chi2 kernel. X is an array of data points. Each
%   point is expanded into a vector of dimension 2*N+1 and saved to
%   the output V. The expanded feature vectors are stacked along the
%   first dimension, so that the output array V has the same
%   dimensions of the input array X except for the first one, which is
%   2*N+1 times larger.
%
%   The function accepts the following options:
%
%   KChi2::
%     Compute the map for the Chi2 kernel.
%
%   KINTERS::
%     Compute the map for the intersection kernel.
%
%   KL1::
%     Same as KINTERS, but deprecated as the name is not fully
%     accurate.
%
%   KJS::
%     Compute the map for the JS (Jensen-Shannon) kernel.
%
%   Period:: [automatically tuned]
%     Set the period of the kernel specturm. The approximation is
%     based on periodicizing the kernel specturm. If not specified,
%     the period is automatically set based on the heuristic described
%     in [2].
%
%   Window:: [RECTANGULAR]
%     Set the window used to truncate the spectrum before The window
%     can be either RECTANGULAR or UNIFORM window. See [2] and the API
%     documentation for details.
%
%   Gamma:: [1]
%     Set the homogeneity degree of the kernel. The standard kernels
%     are 1-homogeneous, but sometimes smaller values perform better
%     in applications. See [2] for details.
%
%   Example::
%     The following code results in approximatively the same
%     similarities matrices between points X and Y:
%
%       x = rand(10,1) ;
%       y = rand(10,100) ;
%       psix = vl_homkermap(x, 3) ;
%       psiy = vl_homkermap(y, 3) ;
%       figure(1) ; clf ;
%       ker = vl_alldist(x, y, 'kchi2') ;
%       ker_ = psix' * psiy ;
%       plot([ker ; ker_]') ;
%
%   Note::
%     The homogeneous kernels K(X,Y) are normally defined for
%     non-negative data only. VL_HOMKERMAP defines them for both
%     positive and negative data by using the definition
%     SIGN(X)SIGN(Y)K(ABS(X),ABS(Y)) -- note that other extensions are
%     possible as well (see [2]).
%
%   REFERENCES::
%     [1] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     Proc. CVPR, 2010.
%
%     [2] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     PAMI, 2011 (submitted).
%
%   See also: VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_ihashfind.c000066400000000000000000000106511203326130700203130ustar00rootroot00000000000000/** @internal
 ** @file     ihashfind.c
 ** @author   Andrea Vedaldi
 ** @brief    BINSUM - MEX
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

#include 

/* hash function */
unsigned int fnv_hash (void const *key, int len)
{
  unsigned char const *p = key;
  unsigned int h = 2166136261U ;
  int i;

  for ( i = 0; i < len; i++ )
    h = ( h * 16777619 ) ^ p[i];

  return h;
}

int
is_null (vl_uint8 const * x, int n)
{
  int i ;
  for (i = 0 ; i < n ; ++i) {
    if (x[i]) return 0 ;
  }
  return 1 ;
}

int
is_equal (vl_uint8 const * x, vl_uint8 const * y, int n)
{
  int i ;
  for (i = 0 ; i < n ; ++i) {
    if (x[i] != y[i]) return 0 ;
  }
  return 1 ;
}

void
cpy (vl_uint8 * x, vl_uint8 const * y, int n)
{
  int i ;
  for (i = 0 ; i < n ; ++i){
    /*    mexPrintf("cpy:%d %d\n",x[i],y[i]);*/
    x[i] = y[i] ;
  }
}

/** @brief Driver.
 **
 ** @param nount number of output arguments.
 ** @param out output arguments.
 ** @param nin number of input arguments.
 ** @param in input arguments.
 **/
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum { IN_ID, IN_NEXT, IN_K, IN_X } ;
  enum { OUT_SEL } ;

  vl_uint32 const * next ;
  vl_uint32 * sel ;
  vl_uint8 const  * id ;
  vl_uint8 const  * x ;

  unsigned int K, i, N, res, last, ndims ;

  /* -----------------------------------------------------------------
   *                                                   Check arguments
   * -------------------------------------------------------------- */

  if( nin != 4 ) {
    mexErrMsgTxt("Four arguments required") ;
  } else if (nout > 1) {
    mexErrMsgTxt("At most one output argument.") ;
  }

  if(! mxIsNumeric(in[IN_NEXT])|| mxGetClassID(in[IN_NEXT])!= mxUINT32_CLASS) {
    mexErrMsgTxt("NEXT must be UINT32.") ;
  }

  if(! mxIsNumeric(in[IN_X])   || mxGetClassID(in[IN_X])!= mxUINT8_CLASS) {
    mexErrMsgTxt("X must be UINT8") ;
  }

  if (mxGetM(in[IN_NEXT]) != 1) {
    mexErrMsgTxt("NEXT must be a row vector") ;
  }

  if(! mxIsNumeric(in[IN_ID])  || mxGetClassID(in[IN_ID])!= mxUINT8_CLASS) {
    mexErrMsgTxt("ID must be UINT8.") ;
  }

  ndims = mxGetM(in[IN_ID]) ;
  res   = mxGetN(in[IN_ID]) ;

  if(res != mxGetN(in[IN_NEXT])) {
    mexErrMsgTxt("ID, NEXT must have the same number of columns") ;
  }

  if(ndims != mxGetM(in[IN_X])) {
    mexErrMsgTxt("ID and X must havethe same number of rows") ;
  }

  if(! vlmxIsPlainScalar(in[IN_K])) {
    mexErrMsgTxt("K must be a scalar") ;
  }
  K     = (unsigned int) *mxGetPr(in[IN_K]) ;

  N    = mxGetN(in[IN_X]) ;
  id   = mxGetData(in[IN_ID]) ;
  next = mxGetData(in[IN_NEXT]) ;
  x    = mxGetData(in[IN_X]) ;

  out[OUT_SEL] = mxCreateNumericMatrix
    (1, N, mxUINT32_CLASS, mxREAL) ;

  sel = mxGetData (out[OUT_SEL]) ;
  /* search for last occupied slot */
  last = res ;
  for (i = 0 ; i < res ; ++i) last = VL_MAX(last, next [i]) ;

  /* REMARK: last and next are 1 based */

  if (K > res) {
    mexErrMsgTxt("K cannot be larger then the size of H") ;
  }
  if (last > res) {
    mexErrMsgTxt("An element of NEXT is greater than the size of the table") ;
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */

  for (i = 0 ; i < N ; ++i) {
    /* hash */
    unsigned int h1, h2 ;
    unsigned int j, p = 0 ;

    if (is_null (x + i * ndims, ndims)) {
      *sel++ = 0 ;
      continue ;
    }

    h1 = fnv_hash(x + i * ndims, ndims) % K ;
    h2 = h1 | 0x1 ; /* this needs to be odd */

    /* search first free or matching position */
    p = h1 % K ;
    for (j = 0 ; j < K ; ++j) {
      if (is_null (id + p * ndims,                ndims) ||
          is_equal(id + p * ndims, x + i * ndims, ndims)) break ;
      h1 += h2 ;
      p = h1 % K ;
    }

    /* handle extended table */
    while (! is_null (id + p * ndims,                ndims) &&
           ! is_equal(id + p * ndims, x + i * ndims, ndims)) {
      if (next[p] == 0) break ;
      p = next [p] - 1 ;
    }

    /* found or not ? */
    if (is_equal(id + p * ndims, x + i * ndims, ndims)) {
      /* found */
      *sel++ = p + 1 ;
    } else {
      /* not found */
      *sel++ = 0 ;
    }
  } /* next guy to search for */
}
vlfeat-0.9.16/toolbox/misc/vl_ihashfind.m000066400000000000000000000005371203326130700203270ustar00rootroot00000000000000% VL_IHASHFIND  Find labels in an integer hash table
%   SEL = VL_IHASHFIND(ID, NEXT, K, X) returns a vector SEL of the
%   entires in the hash table ID,NEXT,K corresponding to the labels
%   stored as columns of X.
%
%   The format is the same as for the functino VL_IHASHSUM().
%
%   See also: VL_IHASHSUM().

% Author: Andrea Vedaldi

% AUTORIGHTS
vlfeat-0.9.16/toolbox/misc/vl_ihashsum.c000066400000000000000000000143521203326130700202010ustar00rootroot00000000000000/** @internal
 ** @file     ihashsum.c
 ** @author   Andrea Vedaldi
 ** @brief    BINSUM - MEX
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

#include 

/* hash function */
unsigned int fnv_hash (void const *key, int len)
{
  unsigned char const *p = key;
  unsigned int h = 2166136261U ;
  int i;

  for ( i = 0; i < len; i++ )
    h = ( h * 16777619 ) ^ p[i];

  return h;
}

int
is_null (vl_uint8 const * x, int n)
{
  int i ;
  for (i = 0 ; i < n ; ++i) {
    if (x[i]) return 0 ;
  }
  return 1 ;
}

int
is_equal (vl_uint8 const * x, vl_uint8 const * y, int n)
{
  int i ;
  for (i = 0 ; i < n ; ++i) {
    if (x[i] != y[i]) return 0 ;
  }
  return 1 ;
}

void
cpy (vl_uint8 * x, vl_uint8 const * y, int n)
{
  int i ;
  for (i = 0 ; i < n ; ++i){
    /*    mexPrintf("cpy:%d %d\n",x[i],y[i]);*/
    x[i] = y[i] ;
  }
}

/** @brief Driver.
 **
 ** @param nount number of output arguments.
 ** @param out output arguments.
 ** @param nin number of input arguments.
 ** @param in input arguments.
 **/
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum { IN_H, IN_ID, IN_NEXT, IN_K, IN_X } ;
  enum { OUT_H, OUT_ID, OUT_NEXT} ;

  mxArray *h_,  *id_, *next_ ;

  vl_uint32 * h ;
  vl_uint32 * next ;

  vl_uint8       * id ;
  vl_uint8 const * x ;

  unsigned int K, i, N, res, last, ndims ;

  /* -----------------------------------------------------------------
   *                                                   Check arguments
   * -------------------------------------------------------------- */

  if( nin != 5 ) {
    mexErrMsgTxt("Five arguments required") ;
  } else if (nout > 3) {
    mexErrMsgTxt("At most three output argument.") ;
  }

  if(! mxIsNumeric(in[IN_H])   || mxGetClassID(in[IN_H]   )!= mxUINT32_CLASS ||
     ! mxIsNumeric(in[IN_NEXT])|| mxGetClassID(in[IN_NEXT])!= mxUINT32_CLASS) {
    mexErrMsgTxt("H, NEXT must be UINT32.") ;
  }

  if(! mxIsNumeric(in[IN_X])   || mxGetClassID(in[IN_X])   != mxUINT8_CLASS) {
    mexErrMsgTxt("X must be UINT8") ;
  }

  if (mxGetM(in[IN_H])    != 1 ||
      mxGetM(in[IN_NEXT]) != 1) {
    mexErrMsgTxt("H, NEXT must be row vectors") ;
  }

  if(! mxIsNumeric(in[IN_ID])  || mxGetClassID(in[IN_ID])!= mxUINT8_CLASS) {
    mexErrMsgTxt("ID must be UINT8.") ;
  }

  ndims = mxGetM(in[IN_ID]) ;
  res   = mxGetN(in[IN_H]) ;

  if(res != mxGetN(in[IN_ID]) ||
     res != mxGetN(in[IN_NEXT])) {
    mexErrMsgTxt("H, ID, NEXT must have the same number of columns") ;
  }

  if(ndims != mxGetM(in[IN_X])) {
    mexErrMsgTxt("ID and X must havethe same number of rows") ;
  }

  if(! vlmxIsPlainScalar(in[IN_K])) {
    mexErrMsgTxt("K must be a scalar") ;
  }
  K     = (unsigned int) *mxGetPr(in[IN_K]) ;

  h_    = mxDuplicateArray(in[IN_H]) ;
  id_   = mxDuplicateArray(in[IN_ID]) ;
  next_ = mxDuplicateArray(in[IN_NEXT]) ;

  N    = mxGetN(in[IN_X]) ;

  h    = mxGetData(h_   ) ;
  id   = mxGetData(id_  ) ;
  next = mxGetData(next_) ;
  x    = mxGetData(in[IN_X]) ;

  /*
     Temporary remove mxArray pointers to these buffer as we will
     mxRealloc them and if the user presses Ctrl-C matlab will attempt
     to free unvalid memory
  */

  mxSetData(h_,    0) ;
  mxSetData(id_,   0) ;
  mxSetData(next_, 0) ;

  /* search for last occupied slot */
  last = res ;
  for (i = 0 ; i < res ; ++i) last = VL_MAX(last, next [i]) ;

  /* REMARK: last and next are 1 based */

  if (K > res) {
    mexErrMsgTxt("K cannot be larger then the size of H") ;
  }
  if (last > res) {
    mexErrMsgTxt("An element of NEXT is greater than the size of the table") ;
  }

  /*  mexPrintf("last:%d\n",last) ;*/

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */
  for (i = 0 ; i < N ; ++i) {
    /* hash */
    unsigned int h1, h2 ;
    unsigned int j, p = 0 ;

    /* cannot hash null labels */
    if (is_null (x + i * ndims, ndims)) {
      vlmxError(vlmxErrInvalidArgument, "The %d column of X is null.", i+1) ;
      continue ;
    }

    h1 = fnv_hash(x + i * ndims, ndims) % K ;
    h2 = h1 | 0x1 ; /* this needs to be odd */

    /* search first free or matching position */
    p = h1 % K ;
    for (j = 0 ; j < K ; ++j) {
      if (is_null (id + p * ndims,                ndims) ||
          is_equal(id + p * ndims, x + i * ndims, ndims)) break ;
      h1 += h2 ;
      p = h1 % K ;
    }

    /* if after scanning the K elements in the hash table an empty/matching
      bucket is still
       not found, start using next to go into the overflow table */
    while (! is_null (id + p * ndims,                ndims) &&
           ! is_equal(id + p * ndims, x + i * ndims, ndims)) {
      if (next [p] > res) {
        mexErrMsgTxt("An element of NEXT is greater than the size of the table") ;
      }
      /* append */
      if (next [p] == 0) {
        if (last >= res) {
          size_t res_ = res + VL_MAX(res / 2, 2) ;
          h    = mxRealloc(h,    res_ * sizeof(vl_uint32)       ) ;
          next = mxRealloc(next, res_ * sizeof(vl_uint32)       ) ;
          id   = mxRealloc(id,   res_ * sizeof(vl_uint8) * ndims) ;
          memset (h    + res,         0, (res_ - res) * sizeof(vl_uint32)       ) ;
          memset (next + res,         0, (res_ - res) * sizeof(vl_uint32)       ) ;
          memset (id   + res * ndims, 0, (res_ - res) * sizeof(vl_uint8) * ndims) ;
          res = res_ ;
        }
        next [p] = ++ last ;
      }
      p = next [p] - 1 ;
    }

    /* accumulate */
    h  [p] += 1 ;
    /*    mexPrintf("p %d dims %d i %d N %d\n ", p, ndims, i, N) ;*/
    cpy(id + p * ndims, x + i * ndims, ndims) ;
  }

  mxSetData(h_,    mxRealloc(h,    last * sizeof(vl_uint32)        )) ;
  mxSetData(next_, mxRealloc(next, last * sizeof(vl_uint32)        )) ;
  mxSetData(id_,   mxRealloc(id,   last * sizeof(vl_uint8 ) * ndims)) ;

  mxSetN(h_,    last) ;
  mxSetN(id_,   last) ;
  mxSetN(next_, last) ;

  mxSetM(h_,    1) ;
  mxSetM(next_, 1) ;
  mxSetM(id_,   ndims) ;

  out[OUT_H]    = h_ ;
  out[OUT_ID]   = id_ ;
  out[OUT_NEXT] = next_ ;
}
vlfeat-0.9.16/toolbox/misc/vl_ihashsum.m000066400000000000000000000042661203326130700202160ustar00rootroot00000000000000% VL_IHASHSUM  Accumulate integer labels into a hash table
%   [H,ID,NEXT] = VL_IHASHSUM(H,ID,NEXT,K,X) counts the number of
%   occurences of the columns of X, accumulating these to the hash
%   table represented by the tripled H,ID,NEXT.
%
%   X is a D x N array of class UINT8 each row of which defines an D
%   dimensional label. Labels cannot be all zeros.
%
%   H and NEXT are 1 x C arrays of class UINT32 and ID is a D x C
%   array of class UINT8. H is a vector of counts, ID stores, for each
%   element of H, the corresponding label, and NEXT is a vector of
%   indexes.
%
%   Once constructed, the hash table can be searched by means of the
%   VL_IHASHFIND() function.
%
%   The hash table uses double hashing [1] with an initial size equal
%   to K (so that C >= K). Given a label X, this is first hashed by
%   using the FNV algorithm [2] to one of K bucket. If this bucket is
%   free, it is assigned to label X and the count is incremented.  If
%   the bucket is already assigned to the same label X, the count is
%   incremented. If the bucket is already assigned to a different
%   label, a second hash is used to scan (probe) the table for a free
%   bucket.
%
%   If no free/matching bucket is found (because the hash table is
%   full) an overflow area containing extra buckets is used. This is
%   visited by reading off indexe from the NEXT vector, until a
%   matching bucket is found or the overflow area is enlarged.
%
%   Example::
%     The following example counts integer bi-dimensional label
%     occurences:
%
%       K = 5 ;
%       h = zeros(1,K,'uint32') ;
%       id = zeros(2,K,'uint8');
%       next = zeros(1,K,'uint32') ;
%       X = uint8([1 1 ; 1 2 ; 2 1 ; 1 1]') ;
%       [h,id,next] = vl_ihashsum(h,id,next,K,X) ;
%
%     resulting in
%
%       h = [1 0 1 2 0]
%       id = [1    0    2    1    0
%             2    0    1    1    0]
%       next = [0 0 0 0 0]
%
%     For example, [1;2] has a count of 1 and [1;1] has a count of
%     2. NEXT is zero because there have been no collisions.
%
%   REFERENCES::
%   [1] http://en.wikipedia.org/wiki/Double_hashing
%   [2] http://www.isthe.com/chongo/tech/comp/fnv
%
%   See also: VL_IHASHFIND().

% Author: Andrea Vedaldi

% AUTORIGHTS
vlfeat-0.9.16/toolbox/misc/vl_inthist.c000066400000000000000000000142171203326130700200420ustar00rootroot00000000000000/** @internal
 ** @file    inthist.c
 ** @author  Andrea Vedaldi
 ** @brief   Calculate an integral histogram - MEX definition
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 

#include 
#include 
#include 

enum {opt_mass = 1, opt_numLabels, opt_verbose} ;

/* options */
vlmxOption  options [] = {
  {"Mass",         1,   opt_mass,         },
  {"NumLabels",    1,   opt_numLabels     },
  {"Verbose",      0,   opt_verbose       },
  {0,              0,   0                 }
} ;

#undef T
#undef SFX
#define T vl_int32
#define SFX i
#include "inthist.tc"

#undef T
#undef SFX
#define T vl_uint32
#define SFX ui
#include "inthist.tc"

#undef T
#undef SFX
#define T double
#define SFX d
#include "inthist.tc"

#undef T
#undef SFX
#define T float
#define SFX f
#include "inthist.tc"

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  mwSize dims [3] ;
  vl_size numDims ;
  mwSize const * dimsPt = 0 ;

  vl_uint32* labelsPt  = 0 ;
  void*      massPt    = 0 ;
  void*      histPt    = 0 ;
  vl_uint32  numLabels = 0 ;
  mxClassID  dataClass = mxUINT32_CLASS ;
  vl_size width, height, numMaps ;
  vl_uindex k, q ;

  enum {IN_LABELS = 0, IN_END} ;
  enum {OUT_HIST = 0} ;
  int opt ;
  int nextOpt = IN_END ;
  mxArray const  *optArg ;
  int verb = 0 ;

  /* ------------------------------------------------------------------
  **                                                Check the arguments
  ** --------------------------------------------------------------- */
  if (nin < 1) {
    mexErrMsgTxt("At least one input argument is required.") ;
  } else if (nout > 1) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if (mxGetClassID(IN(LABELS)) != mxUINT32_CLASS) {
    mexErrMsgTxt("LABELS must be of class UINT32.") ;
  }
  labelsPt = mxGetData(IN(LABELS)) ;

  numDims = mxGetNumberOfDimensions(IN(LABELS)) ;
  if (numDims > 3) {
    mexErrMsgTxt("LABELS must be a MxNxK array.") ;
  }

  labelsPt = mxGetData(IN(LABELS)) ;
  dimsPt   = mxGetDimensions(IN(LABELS)) ;
  height   = dimsPt [0] ;
  width    = dimsPt [1] ;
  if (numDims > 2) {
    numMaps = dimsPt [2] ;
  } else {
    numMaps = 1 ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &nextOpt, &optArg)) >= 0) {
    switch (opt) {
    case opt_mass :
      {
        massPt = mxGetData(optArg) ;
        dimsPt = mxGetDimensions(optArg) ;

        if (mxGetNumberOfDimensions(optArg) != numDims ||
            height != dimsPt [0] ||
            width  != dimsPt [1] ||
            ((numDims > 2) && numMaps < dimsPt[2])) {
          mexErrMsgTxt("MASS must have the same dimensions of LABELS.") ;
        }

        /* the data is DOUBLE or UINT32 depending on the class of MASS */
        dataClass = mxGetClassID(optArg) ;
        if (dataClass != mxDOUBLE_CLASS &&
            dataClass != mxUINT32_CLASS) {
          mexErrMsgTxt("MASS must be of either class DOUBLE or UINT32.") ;
        }
        break ;
      }

    case opt_numLabels :
      if (!vlmxIsPlainScalar(optArg)) {
        mexErrMsgTxt("NUMLABELS must be a real scalar.") ;
      }
      numLabels = *mxGetPr(optArg) ;
      break ;

    case opt_verbose :
      ++ verb ;
      break ;

    default:
      abort() ;
    }
  }

  /* If numLabels is not specified, guess it from LABELS */
  if (numLabels == 0) {
    for (k = 0 ; k < width*height ; ++k) {
      numLabels = VL_MAX(numLabels, labelsPt [k]) ;
    }
  } else {
    for (k = 0 ; k < width*height ; ++k) {
      if (labelsPt [k] > numLabels) {
        mexErrMsgTxt("LABELS contains an element greater than NUMLABELS.") ;
      }
    }
  }

  /* Allocate space for the integral histogram */
  dims [0] = height ;
  dims [1] = width ;
  dims [2] = numLabels ;
  OUT(HIST) = mxCreateNumericArray(3, dims, dataClass, mxREAL) ;
  histPt = mxGetData(OUT(HIST)) ;

  if (verb) {
    mexPrintf("inthist: integrating %d x %d label map with %d labels\n", width, height, numLabels) ;
    mexPrintf("         custom mass map: %s\n", VL_YESNO(massPt)) ;
  }

  /* ------------------------------------------------------------------
   *                                                    Distribute data
   * --------------------------------------------------------------- */

#define PROCESS(T, INTEGRAL)                                            \
  size_t const K = width*height ;                                       \
  T* dataPt = histPt ;                                                  \
  if (massPt == 0) {                                                    \
    for (q = 0 ; q < numMaps ; ++ q) {                                  \
      for (k = 0 ; k < K ; ++ k) {                                      \
        size_t label = *labelsPt++ ;                                    \
        if (label) dataPt [k + (label - 1) * K] += (T) 1 ;              \
      }                                                                 \
    }                                                                   \
  } else {                                                              \
    for (q = 0 ; q < numMaps ; ++q) {                                   \
      for (k = 0 ; k < K ; ++ k) {                                      \
        size_t label = *labelsPt++ ;                                    \
        if (label) dataPt [k + (label - 1) * K]                         \
                     += ((T*)massPt) [k] ;                              \
      }                                                                 \
    }                                                                   \
  }                                                                     \
  for (k = 0 ; k < numLabels ; ++k) {                                   \
    INTEGRAL (dataPt + k*K, height,                                     \
              dataPt + k*K, height, width, height) ;                    \
  }

  switch (dataClass) {
  case mxUINT32_CLASS: { PROCESS(vl_uint32, integral_ui) } ; break ;
  case mxDOUBLE_CLASS: { PROCESS(double,    integral_d)  } ; break ;
  default :
    abort() ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_inthist.m000066400000000000000000000020561203326130700200520ustar00rootroot00000000000000% VL_INTHIST  Calculate Integral Histogram
%   INTHIST = VL_INTHIST(LABELS) computes the integral histogram for
%   the label map(s) LABELS.
%
%   LABELS is a [M,N,L] UINT32 array containing L label maps (one for
%   each MxN layer). Each label map associates to each of the MxN
%   pixels one of K labels (a value of 0 denotes no association) with
%   unitary mass.
%
%   INTHIST is the [M,N,K] integral histogram obtained by integrating
%   the label maps (an integral histogram is just an array of K
%   integral images, one for each of the K labels). All layers of
%   labels are accumulated to the same integral histogram.
%
%   The total number of labels K is obtained as the maximum value of
%   LABELS. VL_INTHIST(..., 'NUMLABELS', K) specifies the number of
%   labels explicitly.
%
%   VL_INTHIST(..., 'MASS', MASSES) specifies a mass MASSES for each
%   entry of LABELS. MASSES can be either of class UINT32 or DOUBLE,
%   and the class of INTHIST varies accordingly.
%
%   See also: VL_IMINTEGRAL(), VL_SAMPLEINTHIST(), VL_HELP().

% Authors: Andrea Vedaldi
vlfeat-0.9.16/toolbox/misc/vl_kdtreebuild.c000066400000000000000000000112771203326130700206610ustar00rootroot00000000000000/** @internal
 ** @file     vl_kdetreebuild.c
 ** @brief    vl_KDForestbuild MEX implementation
 ** @author   Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

#include 
#include 

#include "kdtree.h"

/* option codes */
enum {
  opt_verbose, opt_threshold_method, opt_num_trees
} ;

/* options */
vlmxOption  options [] = {
{"Verbose",          0,   opt_verbose          },
{"ThresholdMethod",  1,   opt_threshold_method },
{"NumTrees",         1,   opt_num_trees        },
{0,                  0,   0                    }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_DATA = 0, IN_END} ;
  enum {OUT_TREE = 0} ;

  int            verbose = 0 ;
  int            opt ;
  int            next = IN_END ;
  mxArray const *optarg ;

  VlKDForest * forest ;
  void * data ;
  vl_size numData ;
  vl_size dimension ;
  mxClassID dataClass ;
  vl_type dataType ;
  int thresholdingMethod = VL_KDTREE_MEDIAN ;
  vl_size numTrees = 1 ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    vlmxError(vlmxErrInvalidArgument,
             "At least one argument required") ;
  } else if (nout > 2) {
    vlmxError(vlmxErrInvalidArgument,
             "Too many output arguments");
  }

  dataClass = mxGetClassID(IN(DATA)) ;

  if (! vlmxIsMatrix (IN(DATA), -1, -1) ||
      ! vlmxIsReal (IN(DATA))) {
    vlmxError(vlmxErrInvalidArgument,
             "DATA must be a real matrix ") ;
  }

  switch (dataClass) {
    case mxSINGLE_CLASS : dataType = VL_TYPE_FLOAT ; break ;
    case mxDOUBLE_CLASS : dataType = VL_TYPE_DOUBLE ; break ;
    default:
      vlmxError(vlmxErrInvalidArgument,
               "DATA must be either SINGLE or DOUBLE") ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    char buffer [1024] ;
    switch (opt) {
      case opt_threshold_method :
        mxGetString (optarg, buffer, sizeof(buffer)/sizeof(buffer[0])) ;
        if (! vlmxIsString(optarg, -1)) {
          vlmxError(vlmxErrInvalidOption,
                   "THRESHOLDMETHOD must be a string") ;
        }
        if (vl_string_casei_cmp(buffer, "median") == 0) {
          thresholdingMethod = VL_KDTREE_MEDIAN ;
        } else if (vl_string_casei_cmp(buffer, "mean") == 0) {
          thresholdingMethod = VL_KDTREE_MEAN ;
        } else {
          vlmxError(vlmxErrInvalidOption,
                   "Unknown thresholding method %s", buffer) ;
        }
        break ;

      case opt_num_trees :
        if (! vlmxIsScalar(optarg) ||
            (numTrees = mxGetScalar(optarg)) < 1) {
          vlmxError(vlmxErrInvalidOption,
                   "NUMTREES must be not smaller than one") ;
        }
        break ;

      case opt_verbose :
        ++ verbose ;
        break ;
    }
  }

  data = mxGetData (IN(DATA)) ;
  numData = mxGetN (IN(DATA)) ;
  dimension = mxGetM (IN(DATA)) ;

  forest = vl_kdforest_new (dataType, dimension, numTrees) ;
  vl_kdforest_set_thresholding_method (forest, thresholdingMethod) ;

  if (verbose) {
    char const * str = 0 ;
    mexPrintf("vl_kdforestbuild: data %s [%d x %d]\n",
              vl_get_type_name (dataType), dimension, numData) ;
    switch (vl_kdforest_get_thresholding_method(forest)) {
      case VL_KDTREE_MEAN : str = "mean" ; break ;
      case VL_KDTREE_MEDIAN : str = "median" ; break ;
      default: abort() ;
    }
    mexPrintf("vl_kdforestbuild: threshold selection method: %s\n", str) ;
    mexPrintf("vl_kdforestbuild: number of trees: %d\n",
              vl_kdforest_get_num_trees(forest)) ;
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */

  vl_kdforest_build (forest, numData, data) ;

  if (verbose) {
    vl_uindex ti ;
    for (ti = 0 ; ti < vl_kdforest_get_num_trees(forest) ; ++ ti) {
      mexPrintf("vl_kdforestbuild: tree %d: depth %d, num nodes %d\n",
                ti,
                vl_kdforest_get_depth_of_tree(forest, ti),
                vl_kdforest_get_num_nodes_of_tree(forest, ti)) ;
    }
  }

  out[OUT_TREE] = new_array_from_kdforest (forest) ;
  vl_kdforest_delete (forest) ;
}
vlfeat-0.9.16/toolbox/misc/vl_kdtreebuild.m000066400000000000000000000045071203326130700206710ustar00rootroot00000000000000% VL_KDTREEBUILD  Build randomized kd-tree
%   FOREST = VL_KDTREEBUILD(X) returns a structure FOREST containing
%   the kd-tree indexing the data X. X is a M x N dimensional matrix
%   of class DOUBLE or SINGLE with one data point per column. Use
%   VL_KDTREEQUERY() to query the index.
%
%   VL_KDETREEBUILD() accepts the following options:
%
%   NumTrees:: [1]
%     Specifies the number of semi-randomized KD-trees to add to the
%     forest. Multiple trees can be used to improve approximate
%     nearest-neighbors searches with VL_KDTREEQUERY().
%
%   ThresholdMethod:: [MEDIAN]
%     Specifies the thresholding method used to split the data.  Two
%     methods are supported: split around the median (MEDIAN) or split
%     around the mean (MEAN).
%
%   Verbose::
%     Increases the verbosity level (can be repeated).
%
%   The FOREST structure has the following fields:
%
%   FOREST.TREES::
%     A structure array with one element per tree.
%
%   FOREST.DIMENSION::
%     Dimensionality of the indexed data.
%
%   FOREST.NUMDATA::
%     Number of indexed data points.
%
%   The TREE structure has the following fields:
%
%   TREE.NODES::
%      A structure array representing the nodes of the tree.
%
%   TREE.DATAINDEX::
%      A 1 x NUMDATA vector of class UINT32 representing a permutation
%      of the data.
%
%   Nodes are numbered from 1 to NUMNODES.  The NODES structure array
%   has the following fields:
%
%   NODES.LOWERCHILD and NODES.UPPERCHILD::
%      1 x NUMNODES vectors of class INT32. A positive value is the
%      index of the lower/upper child node. A negative value denotes a
%      leaf and is (after negation) is the first or last element plus
%      one of a range of entries in the permutation TREE.DATAINDEX.
%      Such entries are in turn indexes of the data points that belong
%      to that leaf. Typically there is one point per leaf.
%
%   NODES.SPLITDIMENSION and NODES.SPLITTHRESHOLD::
%      1 x NUMNODES vector of class UINT32 and DOUBLE, respectively,
%      with the index of the splitting dimension and the threshold for
%      each node.
%
%   See also: VL_KDTREEQUERY(), VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_kdtreequery.c000066400000000000000000000126661203326130700207320ustar00rootroot00000000000000/** @internal
 ** @file     vl_kdtreequery.c
 ** @brief    vl_kdtreequery - MEX implementation
 ** @author   Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

#include 
#include 

#include "kdtree.h"

/* option codes */
enum {
  opt_verbose, opt_num_neighs, opt_max_num_comparisons
} ;

/* options */
vlmxOption  options [] = {
{"Verbose",           0,   opt_verbose             },
{"NumNeighbors",      1,   opt_num_neighs          },
{"MaxComparisons",    1,   opt_max_num_comparisons },
{"MaxNumComparisons", 1,   opt_max_num_comparisons },
{0,                   0,   0                       }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_FOREST = 0, IN_DATA, IN_QUERY, IN_END} ;
  enum {OUT_INDEX = 0, OUT_DISTANCE} ;

  int            verbose = 0 ;
  int            opt ;
  int            next = IN_END ;
  mxArray const *optarg ;

  VlKDForest * forest ;
  mxArray const * forest_array = in[IN_FOREST] ;
  mxArray const * data_array = in[IN_DATA] ;
  mxArray const * query_array = in[IN_QUERY] ;
  mxArray * index_array ;
  mxArray * distance_array ;
  void * query ;
  vl_uint32 * index ;
  void * distance ;
  vl_size numNeighbors = 1 ;
  vl_size numQueries ;
  vl_uindex qi, ni;
  unsigned int numComparisons = 0 ;
  unsigned int maxNumComparisons = 0 ;
  VlKDForestNeighbor * neighbors ;
  mxClassID dataClass ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 3) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nout > 2) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  forest = new_kdforest_from_array (forest_array, data_array) ;

  dataClass = mxGetClassID (data_array) ;
  if (mxGetClassID (query_array) != dataClass) {
    vlmxError(vlmxErrInvalidArgument,
             "QUERY must have the same storage class as DATA.") ;
  }
  if (! vlmxIsReal (query_array)) {
    vlmxError(vlmxErrInvalidArgument,
             "QUERY must be real.") ;
  }
  if (! vlmxIsMatrix (query_array, forest->dimension, -1)) {
    vlmxError(vlmxErrInvalidArgument,
             "QUERY must be a matrix with TREE.NUMDIMENSIONS rows.") ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
      case opt_num_neighs :
        if (! vlmxIsScalar(optarg) ||
            (numNeighbors = mxGetScalar(optarg)) < 1) {
          vlmxError(vlmxErrInvalidArgument,
                   "NUMNEIGHBORS must be a scalar not smaller than one.") ;
        }
        break;

      case opt_max_num_comparisons :
        if (! vlmxIsScalar(optarg)) {
          vlmxError(vlmxErrInvalidArgument,
                   "MAXNUMCOMPARISONS must be a scalar.") ;
        }
        maxNumComparisons = mxGetScalar(optarg) ;
        break;

      case opt_verbose :
        ++ verbose ;
        break ;
    }
  }

  vl_kdforest_set_max_num_comparisons (forest, maxNumComparisons) ;

  neighbors = vl_malloc (sizeof(VlKDForestNeighbor) * numNeighbors) ;

  query = mxGetData (query_array) ;
  numQueries = mxGetN (query_array) ;

  out[OUT_INDEX] = index_array = mxCreateNumericMatrix
    (numNeighbors, numQueries, mxUINT32_CLASS, mxREAL) ;

  out[OUT_DISTANCE] = distance_array = mxCreateNumericMatrix
    (numNeighbors, numQueries, dataClass, mxREAL) ;

  index = mxGetData (index_array) ;
  distance = mxGetData (distance_array) ;

  if (verbose) {
    VL_PRINTF ("vl_kdforestquery: number of queries: %d\n", numQueries) ;
    VL_PRINTF ("vl_kdforestquery: number of neighbors per query: %d\n", numNeighbors) ;
    VL_PRINTF ("vl_kdforestquery: max num of comparisons per query: %d\n",
               vl_kdforest_get_max_num_comparisons (forest)) ;
  }

  for (qi = 0 ; qi < numQueries ; ++ qi) {
    numComparisons += vl_kdforest_query (forest, neighbors, numNeighbors,
                                         query) ;
    switch (dataClass) {
      case mxSINGLE_CLASS:
      {
        float * distance_ = (float*) distance ;
        for (ni = 0 ; ni < numNeighbors ; ++ni) {
          *index++     = neighbors[ni].index + 1 ;
          *distance_++ = neighbors[ni].distance ;
        }
        query = (float*)query + vl_kdforest_get_data_dimension (forest) ;
        distance = distance_ ;
        break ;
      }
      case mxDOUBLE_CLASS:
      {
        double * distance_ = (double*) distance ;
        for (ni = 0 ; ni < numNeighbors ; ++ni) {
          *index++     = neighbors[ni].index + 1 ;
          *distance_++ = neighbors[ni].distance ;
        }
        query = (double*)query + vl_kdforest_get_data_dimension (forest)  ;
        distance = distance_ ;
        break ;
      }
      default:
        abort() ;
    }
  }

  if (verbose) {
    VL_PRINTF ("vl_kdforestquery: number of comparisons per query: %.3f\n",
               ((double) numComparisons) / numQueries) ;
    VL_PRINTF ("vl_kdforestquery: number of comparisons per neighbor: %.3f\n",
               ((double) numComparisons) / (numQueries * numNeighbors)) ;
  }

  vl_kdforest_delete (forest) ;
  vl_free (neighbors) ;
}
vlfeat-0.9.16/toolbox/misc/vl_kdtreequery.m000066400000000000000000000034631203326130700207370ustar00rootroot00000000000000% VL_KDTREEQUERY Query KD-tree
%   [INDEX, DIST] = VL_KDTREEQUERY(KDTREE, X, Y) computes the nearest
%   column of X to each column of Y (in Euclidean distance). KDTREE is
%   a forest of kd-trees build by VL_KDTREEBUILD(). X is a
%   NUMDIMENSIONS x NUMDATA data matrix of class SINGLE or DOUBLE with
%   the data indexed by the kd-trees (it must be the same data matrix
%   passed to VK_KDTREEBUILD() to build the trees). Y is the
%   NUMDIMENSIONS x NUMQUERIES matrix of query points and must have
%   the same class of X. INDEX is a 1 x NUMQUERIES matrix of class
%   UINT32 with the index of the nearest column of X for each column
%   of Y. DIST is a 1 x NUMQUERIES vector of class SINGLE or DOUBLE
%   (depending on the class of X and Y) with the corresponding squared
%   Euclidean distances.
%
%   [INDEX, DIST] = VL_KDTREEQUERY(..., 'NUMNEIGHBORS', NN) can be
%   used to return the N nearest neighbors rather than just the
%   nearest one. In this case INDEX and DIST are NN x NUMQUERIES
%   matrices. Neighbors are returned by increasing distance.
%
%   VL_KDTREEQUERY(..., 'MAXNUMCOMPARISONS', NCOMP) performs at most
%   NCOMP comparisons for each query point. In this case the result is
%   only approximate (i.e. approximated nearest-neighbors, or ANNs)
%   but the speed can be greatly improved.
%
%   Options:
%
%   NumNeighbors::
%     Sets the number of neighbors to compute for each query point (by
%     default 1).
%
%   MaxNumComparisons::
%     Sets the maximum number of comparisons per query point. The
%     special value 0 means unbounded. The default is 0.
%
%   See also: VL_KDTREEBUILD(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_lbp.c000066400000000000000000000044701203326130700171350ustar00rootroot00000000000000/** @internal
 ** @file    imintegral.c
 ** @author  Brian Fulkerson
 ** @brief   Create an integral image - MEX definition
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  float * image ;
  vl_size width, height ;
  vl_size cellSize = 16 ;
  enum {IN_I = 0, IN_CELLSIZE} ;
  enum {OUT_FEATURES = 0} ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin > 2) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }
  if (nin < 2) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  }
  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  if (! mxIsNumeric(IN(I)) ||
      ! vlmxIsReal(IN(I)) ||
      ! vlmxIsMatrix(IN(I), -1, -1)) {
    vlmxError(vlmxErrInvalidArgument,
              "I is not a numeric matrix.") ;
  }

  if (mxGetClassID(IN(I)) != mxSINGLE_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
              "I is not of class SINGLE.") ;
  }

  if (! vlmxIsPlainScalar(IN(CELLSIZE))) {
    vlmxError(vlmxErrInvalidArgument,
              "CELLSIZE is not a plain scalar.") ;
  }

  if (mxGetScalar(IN(CELLSIZE)) < 1.0) {
    vlmxError(vlmxErrInvalidArgument,
              "CELLSIZE is less than 1.") ;
  }

  cellSize = (vl_size) mxGetScalar(IN(CELLSIZE)) ;
  image = mxGetData(IN(I)) ;
  width = mxGetN(IN(I)) ;
  height = mxGetM(IN(I)) ;

  /* do job */
  {
    /* recall that MATLAB images are transposed */
    mwSize dimensions [3] ;

    /* get LBP object */
    VlLbp * lbp = vl_lbp_new (VlLbpUniform, VL_TRUE) ;
    if (lbp == NULL) {
      vlmxError(vlmxErrAlloc, NULL) ;
    }

    /* get output buffer */
    dimensions[0] = height / cellSize ;
    dimensions[1] = width / cellSize ;
    dimensions[2] = vl_lbp_get_dimension(lbp) ;

    OUT(FEATURES) = mxCreateNumericArray(3, dimensions, mxSINGLE_CLASS, mxREAL) ;

    vl_lbp_process(lbp, mxGetData(OUT(FEATURES)), image, height, width, cellSize) ;
    vl_lbp_delete(lbp) ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_lbp.m000066400000000000000000000007101203326130700171400ustar00rootroot00000000000000% VL_LBP  Local Binary Patterns
%   F = VL_LBP(IM, CELLSIZE) computes the Local Binary Pattern (LBP)
%   features for image I.
%
%   IM is divided in cells of size CELLSIZE. F is a three-dimensional
%   array containing one histograms of quantized LBP features per
%   cell. The witdh of F is FLOOR(WIDTH/CELLSIZE), where WIDTH is the
%   width of the image. The same for the height. The third dimension
%   is 58.
%
%   See also: VL_HELP().

% AUTORIGHTS
vlfeat-0.9.16/toolbox/misc/vl_lbpfliplr.m000066400000000000000000000015441203326130700203570ustar00rootroot00000000000000function f = vl_lbpfliplr(f)
% VL_LBPFLIPLR  Flip LBP features left-right
%   F = VL_LBPFLIPLR(F) flips the LBP features F from left to
%   right.
%
%   Example::
%     The following instructions return results almost identical
%     assuming that the width of I is exactly divisible by the cell
%     size:
%       F = VL_LBP(FLIPLR(I), 8)
%       F_ = VL_LBPFLIPLR(VL_LBP(I), 8)
%
%   See also: VL_LBP(), VL_HELP().

% construct permutation
perm = zeros(1,58) ;
perm(58) = 58 ;
perm(57) = 57 ;

% i is the start of the sequence of 1 and j its length
% recall that i=0 -> E, i=1 -> SE, etc
% the length j remains the same.
% flipping the start gives the flipped end, and subtracting the length
% gives the flipped start

for i = 0:7
  for j = 1:7
    i_ = mod(4 - i - j + 1, 8) ;
    j_ = j ;
    perm(i * 7 + j) = i_ * 7 + j_ ;
  end
end

f = f(:, end:-1:1, perm) ;
vlfeat-0.9.16/toolbox/misc/vl_localmax.c000066400000000000000000000150771203326130700201650ustar00rootroot00000000000000/** file:        localmax.c
 ** author:      Andrea Vedaldi
 ** description: Find local maximizer of multi-dimensional array.
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 

/** Matlab driver.
 **/
#define greater(a,b) ((a) > (b)+threshold)

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  int M, N ;
  const double* F_pt ;
  int ndims ;
  int pdims = -1 ;
  int* offsets ;
  int* midx ;
  int* neighbors ;
  int nneighbors ;
  int* dims ;
  enum {F=0,THRESHOLD,P} ;
  enum {MAXIMA=0} ;
  double threshold = - mxGetInf() ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    mexErrMsgTxt("At least one input argument is required.");
  } else if (nin > 3) {
    mexErrMsgTxt("At most three arguments are allowed.") ;
  } else if (nout > 1) {
    mexErrMsgTxt("Too many output arguments");
  }

  /* The input must be a real matrix. */
  if (!mxIsDouble(in[F]) || mxIsComplex(in[F])) {
    mexErrMsgTxt("Input must be real matrix.");
  }

  if(nin > 1) {
    if(!vlmxIsPlainScalar(in[THRESHOLD])) {
      mexErrMsgTxt("THRESHOLD must be a real scalar.") ;
    }
    threshold = *mxGetPr(in[THRESHOLD]) ;
  }

  if(nin > 2) {
    if(!vlmxIsPlainScalar(in[P]))
      mexErrMsgTxt("P must be a non-negative integer") ;
    pdims = (int) *mxGetPr(in[P])  ;
    if(pdims < 0)
      mexErrMsgTxt("P must be a non-negative integer") ;
  }

  ndims = mxGetNumberOfDimensions(in[F]) ;
  {
    /* We need to make a copy because in one special case (see below)
       we need to adjust dims[].
    */
    int d ;
    mwSize const * const_dims = mxGetDimensions(in[F]) ;
    dims = mxMalloc(sizeof(int)*ndims) ;
    for(d=0 ; d < ndims ; ++d) dims[d] = const_dims[d] ;
  }
  M = dims[0] ;
  N = dims[1] ;
  F_pt = mxGetPr(in[F]) ;

  /*
     If there are only two dimensions and if one is singleton, then
     assume that a vector has been provided as input (and treat this
     as a COLUMN matrix with p=1). We do this because Matlab does not
     distinguish between vectors and 1xN or Mx1 matrices and because
     the cases 1xN and Mx1 are trivial (the result is alway empty).
   */
  if((ndims == 2) && (pdims < 0) && (M == 1 || N == 1)) {
    pdims = 1 ;
    M = (M>N)?M:N ;
    N = 1 ;
    dims[0]=M ;
    dims[1]=N ;
  }

  /* search the local maxima along the first p dimensions only */
  if(pdims < 0)
    pdims = ndims ;

  if(pdims > ndims) {
    mxFree(dims) ;
    mexErrMsgTxt("P must not be greater than the number of dimensions") ;
  }

  /* ------------------------------------------------------------------
   *                                                         Do the job
   * --------------------------------------------------------------- */
  {
    int maxima_size = M*N ;
    int* maxima_start = mxMalloc(sizeof(int) * maxima_size) ;
    int* maxima_iterator = maxima_start ;
    int* maxima_end = maxima_start + maxima_size ;
    int i,h,o ;
    const double* pt = F_pt ;

    /* Compute the offsets between dimensions. */
    offsets = mxMalloc(sizeof(int) * ndims) ;
    offsets[0] = 1 ;
    for(h = 1 ; h < ndims ; ++h)
      offsets[h] = offsets[h-1]*dims[h-1] ;

    /* Multi-index. */
    midx = mxMalloc(sizeof(int) * ndims) ;
    for(h = 0 ; h < ndims ; ++h)
      midx[h] = 1 ;

    /* Neighbors. */
    nneighbors = 1 ;
    o=0 ;
    for(h = 0 ; h < pdims ; ++h) {
      nneighbors *= 3 ;
      midx[h] = -1 ;
      o -= offsets[h] ;
    }
    nneighbors -= 1 ;
    neighbors = mxMalloc(sizeof(int) * nneighbors) ;
    i = 0 ;

    while(VL_TRUE) {
      if(o != 0 )
        neighbors[i++] = o ;
      h = 0 ;
      while( o += offsets[h], (++midx[h]) > 1 ) {
        o -= 3*offsets[h] ;
        midx[h] = -1 ;
        if(++h >= pdims)
          goto stop ;
      }
    }
  stop: ;

    /* Starts at the corner (1,1,...,1,0,0,...0) */
    for(h = 0 ; h < pdims ; ++h) {
      midx[h] = 1 ;
      pt += offsets[h] ;
    }
    for(h = pdims ; h < ndims ; ++h) {
      midx[h] = 0 ;
    }

    /* ---------------------------------------------------------------
     *                                                            Loop
     * ------------------------------------------------------------ */

    /*
      If any dimension in the first P is less than 3 elements wide
      then just return the empty matrix (if we proceed without doing
      anything we break the carry reporting algorithm below).
    */
    for(h=0 ; h < pdims ; ++h)
      if(dims[h] < 3) goto end ;

    while(VL_TRUE) {
      double v ;
      bool is_greater;

      /* Propagate carry along multi index midx */
      h = 0 ;
      while((midx[h]) >= dims[h] - 1) {
        pt += 2*offsets[h] ; /* skip first and last el. */
        midx[h] = 1 ;
        if(++h >= pdims)
          goto next_layer ;
        ++midx[h] ;
      }

      /*
        for(h = 0 ; h < ndims ; ++h )
          mexPrintf("%d  ", midx[h]) ;
        mexPrintf(" -- %d -- pdims %d \n", pt - F_pt,pdims) ;
      */

      /*  Scan neighbors */
      v = *pt ;
      is_greater = (v >= threshold) ;
      i = 0  ;
      while(is_greater && i < nneighbors)
        is_greater &= v > *(pt + neighbors[i++]) ;

        /* Add the local maximum */
      if(is_greater) {
        /* Need more space? */
        if(maxima_iterator == maxima_end) {
          maxima_size += M*N ;
          maxima_start = mxRealloc(maxima_start,
                                   maxima_size*sizeof(int)) ;
          maxima_end = maxima_start + maxima_size ;
          maxima_iterator = maxima_end - M*N ;
        }

        *maxima_iterator++ = pt - F_pt + 1 ;
      }

      /* Go to next element */
      pt += 1 ;
      ++midx[0] ;
      continue ;

    next_layer: ;
      if( h >= ndims )
        goto end ;

      while((++midx[h]) >= dims[h]) {
        midx[h] = 0 ;
        if(++h >= ndims)
          goto end ;
      }
    }
  end:;
    /* Return. */
    {
      double* M_pt ;
      out[MAXIMA] = mxCreateDoubleMatrix
        (1, maxima_iterator-maxima_start, mxREAL) ;
      maxima_end = maxima_iterator ;
      maxima_iterator = maxima_start ;
      M_pt = mxGetPr(out[MAXIMA]) ;
      while(maxima_iterator != maxima_end) {
        *M_pt++ = *maxima_iterator++ ;
      }
    }

    /* Release space. */
    mxFree(offsets) ;
    mxFree(neighbors) ;
    mxFree(midx) ;
    mxFree(maxima_start) ;
  }
  mxFree(dims) ;
}
vlfeat-0.9.16/toolbox/misc/vl_localmax.m000066400000000000000000000036331203326130700201720ustar00rootroot00000000000000% VL_LOCALMAX  Find local maximizers
%   SEL=VL_LOCALMAX(F) returns the indexes of the local maximizers of
%   the Q-dimensional array F.
%
%   A local maximizer is an array element whose value is larger than
%   the value of all its neighbors.  The neighbors of an element
%   i1...iQ have subscripts j1...jQ such that iq-1 <= jq <= iq
%   (excluding i1...iQ itself).  For example, if Q=1 the neighbors of
%   an element are its predecessor and successor in the linear order;
%   if Q=2, its neighbors are the elements immediately to its north,
%   south, west, est, north-west, north-est, south-west and south-est
%   (8-neighborhood).
%
%   Points on the boundary of F are ignored (and never selected as
%   local maximizers).
%
%   SEL=VL_LOCALMAX(F,THRESH) accepts an element as a mazimizer only
%   if it is not smaller than THRESH.
%
%   SEL=VL_LOCALMAX(F,THRESH,P) looks for neighbors only in the first
%   P dimensions of the Q-dimensional array F. This allows to process
%   F in ``slices''.
%
%   Remark::
%     Matrices (2-array) with a singleton dimension are
%     interpreted as vectors (1-array). So for example VL_LOCALMAX([0 1
%     0]) and VL_LOCALMAX([0 1 0]') both return 2 as an aswer. However,
%     if [0 1 0] is to be interpreted as a 1x2 matrix, then the
%     correct answer is the empty set, as all elements are on the
%     boundary. Unfortunately MATLAB does not distinguish between
%     vectors and 2-matrices with a singleton dimension.  To forece
%     the interpretation of all matrices as 2-arrays, use
%     VL_LOCALMAX(F,TRESH,2) (but note that in this case the result is
%     always empty!).
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% TODO: Companion REFINELOCALMAX
% TODO: Do something smarter at boundaries
vlfeat-0.9.16/toolbox/misc/vl_maketrainingset.c000066400000000000000000000175771203326130700215610ustar00rootroot00000000000000/** @file vl_maketrainingset.c
 ** @brief vl_maketrainingset MEX definition
 ** @author Daniele Perrone
 **/

/*
Copyright (C) 2012 Daniele Perrone.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

/* Hided Matlab function for shared memory copy */
extern mxArray *mxCreateSharedDataCopy(const mxArray* pr);


/** ------------------------------------------------------------------
 ** @internal
 ** @brief Create a plain training set struct
 ** @param data   array containing the training data.
 ** @param labels array containing the labels.
 **
 ** The function create a plain training set struct with only data and
 ** labels fields.
 **
 **/

mxArray* createOutputStruct(const mxArray* data, const mxArray* labels)
{
  mwSize dims[] = {1 , 1} ;

  const char* names [2] = {"data","labels"} ;

  mxArray* output = mxCreateStructArray(1, dims, 2, names) ;
  mxArray* dataOut = mxCreateSharedDataCopy(data) ;
  mxArray* labelsOut = mxCreateSharedDataCopy(labels) ;

  mxSetField(output, 0, "data", dataOut) ;
  mxSetField(output, 0, "labels", labelsOut) ;

  return output ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Create a training set struct with an Homogeneous kernel map
 ** @param data   training data.
 ** @param labels labels.
 ** @param order  order of the homogeneous kernel map.
 ** @param kernelType type of kernel.
 ** @param windowType type of window.
 ** @param gamma  gamma value.
 ** @param period period of the map.
 ** @return the training set struct.
 **
 ** The function create a training set struct with data, labels and an
 ** homogeneous kernel map.
 **/

mxArray* createHomekermapStruct(const mxArray* data, const mxArray* labels,
                                const double order,
                                mxArray* kernelType, mxArray* windowType,
                                const double gamma, const double period)
{
  mwSize dims[] = {1 , 1} ;
  const char* homkermapNames [5] = {"order","kernelType","windowType","gamma","period"} ;
  const char* names [3] = {"data","labels","map"} ;
  mxArray *output, *map, *dataOut, *labelsOut, *orderOut, *kernelTypeOut, *windowTypeOut, *gammaOut;

  if (kernelType == NULL) {
    kernelType = mxCreateString("kchi2") ;
  }

  if (windowType == NULL) {
    windowType = mxCreateString("rectangular") ;
  }

  output = mxCreateStructArray(1, dims, 3, names) ;
  map = mxCreateStructArray(1, dims, 5, homkermapNames) ;

  dataOut = mxCreateSharedDataCopy(data) ;
  labelsOut = mxCreateSharedDataCopy(labels) ;

  orderOut = mxCreateDoubleScalar(order) ;

  kernelTypeOut = mxCreateSharedDataCopy(kernelType) ;
  windowTypeOut = mxCreateSharedDataCopy(windowType) ;

  gammaOut = mxCreateDoubleScalar(gamma) ;

  if (period > 0) {
    mxArray * periodOut = mxCreateDoubleScalar(period) ;
    mxSetField(map, 0, "period", periodOut) ;
  }

  mxSetField(map, 0, "order", orderOut) ;
  mxSetField(map, 0, "kernelType", kernelTypeOut) ;
  mxSetField(map, 0, "windowType", windowTypeOut) ;
  mxSetField(map, 0, "gamma", gammaOut) ;

  mxSetField(output, 0, "data", dataOut) ;
  mxSetField(output, 0, "labels", labelsOut) ;
  mxSetField(output, 0, "map", map) ;
  return output ;
}

/* option codes */
enum {
  opt_homkermap, opt_KCHI2, opt_KL1, opt_KJS, opt_KINTERS,
  opt_gamma, opt_period, opt_window,
} ;

/* options */
vlmxOption  options [] = {
  {"homkermap",         1,   opt_homkermap           },
  {"kl1",               0,   opt_KL1                 },
  {"kchi2",             0,   opt_KCHI2               },
  {"kjs",               0,   opt_KJS                 },
  {"kinters",           0,   opt_KINTERS             },
  {"gamma",             1,   opt_gamma               },
  {"period",            1,   opt_period              },
  {"window",            1,   opt_window              },
  {0,                   0,   0                       }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_DATA, IN_LABELS, IN_END} ;
  enum {OUT_TRAINING_DATA = 0} ;

  int            opt ;
  int            next = IN_END ;
  mxArray const *optarg ;

  mxClassID dataClass ;
  vl_size numSamples ;

  /* Homkermap */
  mxArray* kernelType = NULL ;
  mxArray* windowType = NULL ;
  double gamma = 1.0 ;
  double period = -1 ;
  vl_bool homkermap = VL_FALSE ;
  vl_int order = 0 ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 2) {
    vlmxError(vlmxErrInvalidArgument,
              "At least two arguments are required.") ;
  } else if (nout > 1) {
    vlmxError(vlmxErrInvalidArgument,
              "Too many output arguments.");
  }

  dataClass = mxGetClassID(IN(DATA)) ;

  if (! vlmxIsMatrix (IN(DATA), -1, -1) ||
      ! vlmxIsReal (IN(DATA))) {
    vlmxError(vlmxErrInvalidArgument,
              "DATA must be a real matrix.") ;
  }

  numSamples = mxGetN(IN(DATA)) ;

  if (! vlmxIsVector(IN(LABELS), numSamples)) {
    vlmxError(vlmxErrInvalidArgument, "LABELS is not a vector of dimension compatible with DATA.") ;
  }

  if (dataClass != mxSINGLE_CLASS && dataClass != mxDOUBLE_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
              "DATA must be either SINGLE or DOUBLE.") ;
  }

  if (mxGetClassID(IN(LABELS)) != mxINT8_CLASS) {
    vlmxError(vlmxErrInvalidArgument, "LABELS must be INT8.") ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
    case opt_homkermap:
      homkermap = VL_TRUE ;
      if (! vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "N is not a scalar.") ;
      }
      order = *mxGetPr(optarg) ;
      if (order < 0) {
        vlmxError(vlmxErrInvalidArgument, "N is negative.") ;
      }
      break ;

    case opt_KINTERS:
    case opt_KL1:
    case opt_KCHI2:
    case opt_KJS:
      kernelType = (mxArray*) in[next-1] ;
      break ;

    case opt_period:
      if (! vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "PERIOD is not a scalar.") ;
      }
      period = *mxGetPr(optarg) ;
      if (period <= 0) {
        vlmxError(vlmxErrInvalidArgument, "PERIOD is not positive.") ;
      }
      break ;

    case opt_gamma:
      if (! vlmxIsPlainScalar(optarg)){
        vlmxError(vlmxErrInvalidArgument, "GAMMA is not a scalar.") ;
      }
      gamma = *mxGetPr(optarg) ;
      if (gamma <= 0) {
        vlmxError(vlmxErrInvalidArgument, "GAMMA is not positive.") ;
      }
      break ;

    case opt_window:
      if (! vlmxIsString(optarg,-1)){
        vlmxError(vlmxErrInvalidArgument, "WINDOW is not a string.") ;
      } else {
        char buffer [1024] ;
        mxGetString(optarg, buffer, sizeof(buffer) / sizeof(char)) ;
        if (vl_string_casei_cmp("uniform", buffer) == 0) {
          windowType = (mxArray*) optarg ;
        } else if (vl_string_casei_cmp("rectangular", buffer) == 0) {
          windowType = (mxArray*) optarg ;
        } else {
          vlmxError(vlmxErrInvalidArgument, "WINDOW=%s is not recognized.", buffer) ;
        }
      }
      break ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                            Output
   * -------------------------------------------------------------- */
  if (homkermap) {
    OUT(TRAINING_DATA) = createHomekermapStruct(IN(DATA), IN(LABELS),
                                                (double)order, kernelType,
                                                windowType,
                                                gamma, period) ;
  } else {
    OUT(TRAINING_DATA) = createOutputStruct(IN(DATA), IN(LABELS)) ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_maketrainingset.m000066400000000000000000000042361203326130700215570ustar00rootroot00000000000000% VL_MAKETRAININGSET Make Training Dataset
%   D = VL_MAKETRAININGSET(X, Y) creates a training set struct D, given
%   the training vectors X and their labels Y. The training set D has
%   the fields DATA and LABELS. 
% 
%   If the HOMKERMAP option is used, a third field MAP is present in
%   D. MAP is another struct with the following fields: 
% 
%   order::
%     Order of the homogeneous kernel map.
% 
%   kernelType::
%     Type of kernel.
% 
%   windowType::
%     Type of window.
% 
%   gamma::
%     Value of the parameter GAMMA.
% 
%   period::
%     Value of the parameter PERIOD.
% 
%   VL_MAKETRAININGSET() accepts the following options:
% 
%   HOMKERMAP:: [empty]
%     Specify the use of an Homogeneus Kernel map for the training
%     data (See [2],[3]). The passed value N is such that a 2*N+1
%     dimensional approximated kernel map is computed. Each
%     training data point is expanded online into a vector of
%     dimension 2*N+1.
%  
%   KChi2::
%     Compute the map for the Chi2 kernel.
%
%   KINTERS::
%     Compute the map for the intersection kernel.
%
%   KL1::
%     Same as KINTERS, but deprecated as the name is not fully
%     accurate.
%
%   KJS::
%     Compute the map for the JS (Jensen-Shannon) kernel.
%
%   Period:: [automatically tuned]
%     Set the period of the kernel specturm. The approximation is
%     based on periodicizing the kernel specturm. If not specified,
%     the period is automatically set based on the heuristic described
%     in [2].
%
%   Window:: [RECTANGULAR]
%     Set the window used to truncate the spectrum before The window
%     can be either RECTANGULAR or UNIFORM window. See [2] and the API
%     documentation for details.
%
%   Gamma:: [1]
%     Set the homogeneity degree of the kernel. The standard kernels
%     are 1-homogeneous, but sometimes smaller values perform better
%     in applications. See [2] for details.
% 
%   Example::
%     VL_MAKETRAININGSET must be used together with VL_SVMPEGASOS,  
%
%       vl_twister('state',0) ;
%       dataset = vl_maketrainingset(x,y) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;
% 
%   See also: VL_SVMPEGASOS(), VL_HOMKERMAP(), VL_HELP().

% AUTHORIGHTSvlfeat-0.9.16/toolbox/misc/vl_numder.m000066400000000000000000000012541203326130700176610ustar00rootroot00000000000000function d = vl_numder(func, x, varargin)
% VL_NUMDER  Numerical derivative
%   D = VL_NUMDER(FUNC, X) computes the numerical derivative of the
%   function FUNC at point X. X is a real array and is passed as first
%   argument of FUNC.
%
%   D = VL_NUMDER(FUNC, X, ARG1, ARG2, ...) passes ARG1, ARG2, ...  as
%   additional arguments to the function FUNC.
%
%   See also: VL_NUMDER2(), VL_HELP().

% TODO: uniform sacaling of axis is not a good idea

dx = 1e-7 ;
N  = numel(x) ;
fx = feval(func, x, varargin{:}) ;
d  = zeros(length(fx(:)),N) ;

for n=1:N
  e   = zeros(size(x)) ; e(n) = 1 ;
  fxn = feval(func, x+dx*e, varargin{:}) ;
  di  = (fxn - fx) / dx ;
  d(:,n) = di(:) ;
end
vlfeat-0.9.16/toolbox/misc/vl_numder2.m000066400000000000000000000015221203326130700177410ustar00rootroot00000000000000function d = vl_numder2(func, x, varargin)
% VL_NUMDER2  Numerical second derivative
%   D = VL_NUMDER2(FUNC, X) computes the numerical second derivative of
%   the function FUNC at point X.
%
%   D = VL_NUMDER2(FUNC, X, ARG1, ARG2, ...) allow to pass extra
%   parameters to the function FUNC.
%
%   See also: VL_NUMDER(), VL_HELP().

N=length(x(:)) ;
f00 = feval(func, x, varargin{:}) ;
d=zeros(length(f00),N,N) ;
D=1e-5 ;
D2=D*D ;

for n=1:N
	en=zeros(size(x)) ; en(n)=1 ;
	for m=1:N
		em=zeros(size(x)) ; em(m)=1 ;

		if( n ~= m )
			f10 = feval(func, x+en*D, varargin{:}) ;
			f01 = feval(func, x+em*D, varargin{:}) ;
			f11 = feval(func, x+en*D+em*D, varargin{:}) ;
			d(:,n,m) = (f11-f01+f00-f10)/D2 ;
		else
			fp = feval(func, x+en*D, varargin{:}) ;
			fm = feval(func, x-en*D, varargin{:}) ;
			d(:,n,m) = (fm+fp-2*f00)/D2 ;
		end
	end
end
vlfeat-0.9.16/toolbox/misc/vl_override.m000066400000000000000000000110561203326130700202070ustar00rootroot00000000000000function config = vl_override(config,update,varargin)
% VL_OVERRIDE  Override structure subset
%   CONFIG = VL_OVERRIDE(CONFIG, UPDATE) copies recursively the fileds
%   of the structure UPDATE to the corresponding fields of the
%   struture CONFIG.
%
%   Usually CONFIG is interpreted as a list of paramters with their
%   default values and UPDATE as a list of new paramete values.
%
%   VL_OVERRIDE(..., 'Warn') prints a warning message whenever: (i)
%   UPDATE has a field not found in CONFIG, or (ii) non-leaf values of
%   CONFIG are overwritten.
%
%   VL_OVERRIDE(..., 'Skip') skips fields of UPDATE that are not found
%   in CONFIG instead of copying them.
%
%   VL_OVERRIDE(..., 'CaseI') matches field names in a
%   case-insensitive manner.
%
%   Remark::
%     Fields are copied at the deepest possible level. For instance,
%     if CONFIG has fields A.B.C1=1 and A.B.C2=2, and if UPDATE is the
%     structure A.B.C1=3, then VL_OVERRIDE() returns a strucuture with
%     fields A.B.C1=3, A.B.C2=2. By contrast, if UPDATE is the
%     structure A.B=4, then the field A.B is copied, and VL_OVERRIDE()
%     returns the structure A.B=4 (specifying 'Warn' would warn about
%     the fact that the substructure B.C1, B.C2 is being deleted).
%
%   Remark::
%     Two fields are matched if they correspond exactly. Specifically,
%     two fileds A(IA).(FA) and B(IA).FB of two struct arrays A and B
%     match if, and only if, (i) A and B have the same dimensions,
%     (ii) IA == IB, and (iii) FA == FB.
%
%   See also: VL_ARGPARSE(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

warn  = false ;
skip  = false ;
err   = false ;
casei = false ;

if length(varargin) == 1 & ~ischar(varargin{1})
  % legacy
  warn = 1 ;
end

if ~warn & length(varargin) > 0
  for i=1:length(varargin)
    switch lower(varargin{i})
      case 'warn'
        warn = true ;
      case 'skip'
        skip = true ;
      case 'err'
        err = true ;
      case 'argparse'
        argparse = true ;
      case 'casei'
        casei = true ;
      otherwise
        error(sprintf('Unknown option ''%s''.',varargin{i})) ;
    end
  end
end

% if CONFIG is not a struct array just copy UPDATE verbatim
if ~isstruct(config)
  config = update ;
  return ;
end

% if CONFIG is a struct array but UPDATE is not, no match can be
% established and we simply copy UPDATE verbatim
if ~isstruct(update)
  config = update ;
  return ;
end

% if CONFIG and UPDATE are both struct arrays, but have different
% dimensions then nom atch can be established and we simply copy
% UPDATE verbatim
if numel(update) ~= numel(config)
  config = update ;
  return ;
end

% if CONFIG and UPDATE are both struct arrays of the same
% dimension, we override recursively each field

for idx=1:numel(update)
  fields = fieldnames(update) ;

  for i = 1:length(fields)
    updateFieldName = fields{i} ;
    if casei
      configFieldName = findFieldI(config, updateFieldName) ;
    else
      configFieldName = findField(config, updateFieldName) ;
    end

    if ~isempty(configFieldName)
      config(idx).(configFieldName) = ...
          vl_override(config(idx).(configFieldName), ...
                      update(idx).(updateFieldName)) ;
    else
      if warn
        warning(sprintf('copied field ''%s'' which is in UPDATE but not in CONFIG', ...
                        updateFieldName)) ;
      end
      if err
        error(sprintf('The field ''%s'' is in UPDATE but not in CONFIG', ...
                      updateFieldName)) ;
      end
      if skip
        if warn
          warning(sprintf('skipping field ''%s'' which is in UPDATE but not in CONFIG', ...
                          updateFieldName)) ;
        end
        continue ;
      end
      config(idx).(updateFieldName) = update(idx).(updateFieldName) ;
    end
  end
end

% --------------------------------------------------------------------
function field = findFieldI(S, matchField)
% --------------------------------------------------------------------
field =  ''  ;
fieldNames = fieldnames(S) ;
for fi=1:length(fieldNames)
  if strcmpi(fieldNames{fi}, matchField)
    field = fieldNames{fi} ;
  end
end

% --------------------------------------------------------------------
function field = findField(S, matchField)
% --------------------------------------------------------------------

field =  '' ;
fieldNames = fieldnames(S) ;
for fi=1:length(fieldNames)
  if strcmp(fieldNames{fi}, matchField)
    field = fieldNames{fi} ;
  end
end
vlfeat-0.9.16/toolbox/misc/vl_pegasos.c000066400000000000000000000501311203326130700200140ustar00rootroot00000000000000/** @file vl_svmpegasos.c
 ** @brief vl_svmpegasos MEX definition
 ** @author Andrea Vedaldi
 ** @author Daniele Perrone
 **/

/*
Copyright (C) 2011-12 Andrea Vedaldi.
Copyright (C) 2012 Daniele Perrone.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 
#include 
#include 

#include 
#include 

#include "kdtree.h"

/* Diagnostic Dispatcher Object */
typedef struct _DiagnosticsDispatcher {
  mxArray* diagnosticsHandle ;
  mxArray * callerRef ;
  int verbose ;
} DiagnosticsDispatcher ;


/* Info */
enum {dimension,
      iterations,
      maxIterations,
      epsilon,
      lambda,
      biasMultiplier,
      biasLearningRate,
      energyFrequency,
      elapsedTime,
      energy,
      regularizerTerm,
      lossPos,
      lossNeg,
      hardLossPos,
      hardLossNeg};


/** ------------------------------------------------------------------
 ** @internal
 ** @brief Set value of scalar double mxArray
 ** @param array scalar mxArray.
 ** @param value new value.
 **/

void setDoubleValue(mxArray* array, double value)
{
  double* temp = (double*) mxGetData(array) ;
  *temp = value ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Set value of scalar integer  mxArray
 ** @param array scalar mxArray.
 ** @param value new value.
 **/

void setUintValue(mxArray* array, vl_uint32 value)
{
  vl_uint32 * temp = (vl_uint32*) mxGetData(array) ;
  *temp = value ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Create a Matlab struct with diagnostics informations.
 ** @param svm SVM status.
 **
 **  The function create a Matlab struct with the following fields:
 **  - dimension: SVM dimension.
 **  - iterations: number of iterations performed so far.
 **  - maxIterations: maximum number of iterations.
 **  - epsilon: SVM stop criterion.
 **  - lambda: SVM pegasos paramater.
 **  - biasMultiplier: constant multiplying the SVM bias.
 **  - biasLearningRate: learning rate for the SVM bias.
 **  - energyFrequency: rate of SVM energy update.
 **  - elapseTime: elapsed time since the start of the SVM learning.
 **  - energy: SVM energy value.
 **  - regulizerTerm: value of the only SVM regulizer term.
 **  - lossPos: value of loss function only for data points labeled positives.
 **  - lossNeg: value of loss function only for data points labeled negatives.
 **  - hardLossPos: number of points labeled negative instead of positive.
 **  - hardLossNeg: number of points labeled positive instead of negative.
 **/

mxArray * createInfoStruct(VlSvmPegasos* svm)
{
  mwSize dims[] = {1 , 1} ;

  const char* names [15] = {
    "dimension", "iterations", "maxIterations",
    "epsilon", "lambda", "biasMultiplier",
    "biasLearningRate", "energyFrequency", "elapsedTime",
    "energy", "regularizerTerm", "lossPos",
    "lossNeg", "hardLossPos", "hardLossNeg"} ;

  mxArray *output, *dimension, *iterations, *maxIterations, *epsilon, *lambda ;
  mxArray *biasMultiplier, *biasLearningRate, *energyFrequency, *elapsedTime ;

  output = mxCreateStructArray(1, dims, 15, names);

  dimension = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(dimension,svm->dimension) ;

  iterations = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(iterations,svm->iterations) ;

  maxIterations = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(maxIterations,svm->maxIterations) ;

  epsilon = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(epsilon,svm->epsilon) ;

  lambda = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(lambda,svm->lambda) ;

  biasMultiplier = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(biasMultiplier,svm->biasMultiplier) ;

  biasLearningRate = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(biasLearningRate,svm->biasLearningRate) ;

  energyFrequency = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(energyFrequency,svm->energyFrequency) ;

  elapsedTime = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(elapsedTime,svm->elapsedTime) ;


  mxSetField(output, 0, "dimension", dimension) ;
  mxSetField(output, 0, "iterations", iterations) ;
  mxSetField(output, 0, "maxIterations", maxIterations) ;
  mxSetField(output, 0, "epsilon", epsilon) ;
  mxSetField(output, 0, "lambda", lambda) ;
  mxSetField(output, 0, "biasMultiplier", biasMultiplier) ;
  mxSetField(output, 0, "biasLearningRate", biasLearningRate) ;
  mxSetField(output, 0, "energyFrequency", energyFrequency) ;
  mxSetField(output, 0, "elapsedTime", elapsedTime) ;

  if (svm->objective) {
    mxArray *energy, *regularizerTerm, *lossPos, *lossNeg, *hardLossPos, *hardLossNeg ;
    energy = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(energy,svm->objective->energy) ;

    regularizerTerm = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(regularizerTerm,svm->objective->regularizer) ;

    lossPos = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(lossPos,svm->objective->lossPos) ;

    lossNeg = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(lossNeg,svm->objective->lossNeg) ;

    hardLossPos = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(hardLossPos,svm->objective->hardLossPos) ;

    hardLossNeg = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(hardLossNeg,svm->objective->hardLossNeg) ;

    mxSetField(output, 0, "energy", energy) ;
    mxSetField(output, 0, "regularizerTerm", regularizerTerm) ;
    mxSetField(output, 0, "lossPos", lossPos) ;
    mxSetField(output, 0, "lossNeg", lossNeg) ;
    mxSetField(output, 0, "hardLossPos", hardLossPos) ;
    mxSetField(output, 0, "hardLossNeg", hardLossNeg) ;
  }

  return output ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Diagnostics Callback.
 **
 ** @param svm SVM status.
 **
 **  The function is the callbach called by pegasos SVM when the full
 **  energy and the diagnostic informations are computed. Is a Matlab
 **  Callback has been given in input, the function calls it passing
 **  the same informations as a matlab struct.
 **
 **/

void diagnosticDispatcher(VlSvmPegasos* svm)
{
  if (svm->diagnosticCallerRef)
    {
      mxArray *lhs,*rhs[3];
      DiagnosticsDispatcher* dispatcherObject = (DiagnosticsDispatcher*)  svm->diagnosticCallerRef ;

      rhs[0] = dispatcherObject->diagnosticsHandle ;
      if (dispatcherObject->callerRef) {
        rhs[1] = dispatcherObject->callerRef ;
      } else {
        mwSize dims[2] ;
        dims[0] = 1 ;
        dims[1] = 1 ;
        rhs[1] = mxCreateNumericArray(2, dims,
                                      mxDOUBLE_CLASS, mxREAL) ;
      }
      rhs[2] =  createInfoStruct(svm) ;


      if (mxIsClass( rhs[0] , "function_handle")) {
        mexCallMATLAB(0,&lhs,3,rhs,"feval") ;
      }

      mxDestroyArray(rhs[2]) ;

      if (dispatcherObject->verbose) {
        mexPrintf("vl_pegasos: Iteration = %d\n",svm->iterations) ;
        mexPrintf("vl_pegasos: elapsed time = %f\n",svm->elapsedTime) ;
        mexPrintf("vl_pegasos: energy = %f\n",svm->objective->energy) ;
      }
    }
}

/* option codes */
enum {
  opt_verbose, opt_bias_multiplier, opt_max_iterations,
  opt_epsilon, opt_starting_iteration, opt_starting_model,
  opt_permutation, opt_bias_learningrate, opt_diagnostic,
  opt_energy_freq, opt_diagnostic_caller_ref, opt_block_sparse,
  opt_homkermap, opt_KCHI2, opt_KL1, opt_KJS, opt_KINTERS,
  opt_gamma, opt_period, opt_window, opt_starting_bias
} ;

/* options */
vlmxOption  options [] = {
  {"Verbose",           0,   opt_verbose             },
  {"BiasMultiplier",    1,   opt_bias_multiplier     },
  {"MaxIterations",     1,   opt_max_iterations      },
  {"Epsilon",           1,   opt_epsilon             },
  {"StartingIteration", 1,   opt_starting_iteration  },
  {"StartingModel",     1,   opt_starting_model      },
  {"StartingBias",      1,   opt_starting_bias       },
  {"Permutation",       1,   opt_permutation         },
  {"BiasLearningRate",  1,   opt_bias_learningrate   },
  {"DiagnosticFunction",1,   opt_diagnostic          },
  {"DiagnosticCallRef", 1,   opt_diagnostic_caller_ref},
  {"EnergyFreq",        1,   opt_energy_freq         },
  {"homkermap",         1,   opt_homkermap           },
  {"kl1",               0,   opt_KL1                 },
  {"kchi2",             0,   opt_KCHI2               },
  {"kjs",               0,   opt_KJS                 },
  {"kinters",           0,   opt_KINTERS             },
  {"gamma",             1,   opt_gamma               },
  {"period",            1,   opt_period              },
  {"window",            1,   opt_window              },
  {0,                   0,   0                       }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_DATA, IN_LABELS, IN_LAMBDA, IN_END} ;
  enum {OUT_MODEL = 0, OUT_BIAS, OUT_INFO} ;

  int verbose = 0 ;
  int opt ;
  int next = IN_END ;
  mxArray const *optarg ;

  mxArray *inputModel = NULL;
  VlSvmPegasos* svm = NULL ;

  vl_bool freeModel = VL_TRUE ;
  vl_size dataDimension ;

  vl_uint32* matlabPermutation ;

  void * data ;
  mxClassID dataClass ;
  vl_type dataType ;
  vl_size numSamples ;

  vl_uint32 * permutation  = NULL ;
  vl_size permutationSize = 0 ;

  DiagnosticsDispatcher* disp ;
  VlSvmDatasetInnerProduct innerProduct = NULL ;
  VlSvmDatasetAccumulator accumulator = NULL ;

  /* maps */
  VlSvmDatasetFeatureMap mapFunc  = NULL ;

  /* Homkermap */
  VlHomogeneousKernelType kernelType = VlHomogeneousKernelChi2 ;
  VlHomogeneousKernelMapWindowType windowType = VlHomogeneousKernelMapWindowRectangular ;
  double gamma = 1.0 ;
  int n = 0 ;
  double period = -1 ;

  VlSvmDataset* dataset ;

  vl_bool homkermap = VL_FALSE ;
  void * map = NULL ;

  VL_USE_MATLAB_ENV ;

  disp = (DiagnosticsDispatcher*) vl_malloc(sizeof(DiagnosticsDispatcher)) ;
  disp->diagnosticsHandle = NULL ;
  disp->callerRef = NULL ;
  disp->verbose = 0 ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 3) {
    vlmxError(vlmxErrInvalidArgument,
              "At least three arguments are required.") ;
  } else if (nout > 3) {
    vlmxError(vlmxErrInvalidArgument,
              "Too many output arguments.");
  }

  dataClass = mxGetClassID(IN(DATA)) ;

  if (! vlmxIsMatrix (IN(DATA), -1, -1) ||
      ! vlmxIsReal (IN(DATA))) {
    vlmxError(vlmxErrInvalidArgument,
              "DATA must be a real matrix.") ;
  }

  data = mxGetData (IN(DATA)) ;
  dataDimension = mxGetM(IN(DATA)) ;
  numSamples = mxGetN(IN(DATA)) ;

  /* Get order of the HOMKERMAP, if used. */
  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    if  (opt == opt_homkermap) {
      homkermap = VL_TRUE ;
      if (! vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "N is not a scalar.") ;
      }
      n = *mxGetPr(optarg) ;
      if (n < 0) {
        vlmxError(vlmxErrInvalidArgument, "N is negative.") ;
      }
    }
  }

  next = IN_END ;

  if (! vlmxIsVector(IN(LABELS), numSamples)) {
    vlmxError(vlmxErrInvalidArgument, "LABELS is not a vector of dimension compatible with DATA.") ;
  }


  switch (dataClass) {
  case mxSINGLE_CLASS : dataType = VL_TYPE_FLOAT ; break ;
  case mxDOUBLE_CLASS : dataType = VL_TYPE_DOUBLE ; break ;
  default:
    vlmxError(vlmxErrInvalidArgument,
              "DATA must be either SINGLE or DOUBLE.") ;
  }

  if (mxGetClassID(IN(LABELS)) != mxINT8_CLASS) {
    vlmxError(vlmxErrInvalidArgument, "LABELS must be INT8.") ;
  }


  if (! vlmxIsPlainScalar(IN(LAMBDA))) {
    vlmxError(vlmxErrInvalidArgument, "LAMBDA is not a plain scalar.") ;
  }

  svm = vl_svmpegasos_new ((2*n + 1)*dataDimension,*mxGetPr(IN(LAMBDA))) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
    case opt_bias_multiplier :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "BIASMULTIPLIER is not a plain scalar.") ;
      }
      vl_svmpegasos_set_bias_multiplier(svm, *mxGetPr(optarg)) ;
      break ;

    case opt_max_iterations :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "MAXITERATIONS is not a plain scalar.") ;
      }
      if (*mxGetPr(optarg) < 0) {
        vlmxError(vlmxErrInvalidArgument, "MAXITERATIONS is negative.") ;
      }
      vl_svmpegasos_set_maxiterations(svm, (vl_size) *mxGetPr(optarg)) ;
      break ;

    case opt_epsilon :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "EPSILON is not a plain scalar.") ;
      }
      if (*mxGetPr(optarg) < 0) {
        vlmxError(vlmxErrInvalidArgument, "EPSILON is negative.") ;
      }
      vl_svmpegasos_set_epsilon(svm, (double) *mxGetPr(optarg)) ;
      break ;

    case opt_starting_iteration :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGITERATION is not a plain scalar.") ;
      }
      if (*mxGetPr(optarg) < 1) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGITERATION is smaller than 1.") ;
      }
      vl_svmpegasos_set_iterations(svm, (vl_size) *mxGetPr(optarg) - 1) ;
      break ;

    case opt_starting_model :
      if (!vlmxIsVector(optarg, -1) ||
          mxIsComplex(optarg) ||
          mxGetClassID(optarg) != mxDOUBLE_CLASS) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGMODEL is not a real vector.") ;
      }
      inputModel = mxDuplicateArray(optarg) ;
      vl_svmpegasos_set_model(svm,(double*) mxGetData(inputModel)) ;
      freeModel = VL_FALSE ;
      break ;

    case opt_starting_bias :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGBIAS is not a plain scalar.") ;
      }
      vl_svmpegasos_set_bias(svm, (double) *mxGetPr(optarg)) ;
      break ;

    case opt_permutation :
      if (!vlmxIsVector(optarg, -1) ||
          mxIsComplex(optarg) ||
          mxGetClassID(optarg) != mxUINT32_CLASS) {
        vlmxError(vlmxErrInvalidArgument, "PERMUTATION is not a UINT32 vector.") ;
      }
      permutationSize = mxGetNumberOfElements(optarg) ;
      permutation = mxMalloc(sizeof(vl_uint32) * permutationSize) ;
      matlabPermutation = mxGetData(optarg) ;
      {
        /* adjust indexing */
        vl_uindex k ;
        for (k = 0 ; k < permutationSize ; ++k) {
          permutation[k] = matlabPermutation[k] - 1 ;
          if (permutation[k] >= numSamples) {
            vlmxError(vlmxErrInconsistentData,
                      "Permutation indexes out of bounds: PERMUTATION(%d) = %d > %d = number of data samples.",
                      k + 1, permutation[k] + 1, numSamples) ;
          }
        }
      }
      vl_svmpegasos_set_permutation(svm,permutation,permutationSize) ;
      break ;

    case opt_bias_learningrate :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "BIASLEARNINGRATE is not a plain scalar.") ;
      }
      if (mxGetClassID(optarg) != mxDOUBLE_CLASS) {
        vlmxError(vlmxErrInvalidArgument, "BIASLEARNINGRATE must be double.") ;
      }
      vl_svmpegasos_set_bias_learningrate(svm, (double)*mxGetPr(optarg)) ;
      break ;
    case opt_diagnostic :

      if( !mxIsClass( optarg , "function_handle")) {
        mexErrMsgTxt("DIAGNOSTICSFUNCTION must be  a function handle.");
      }
      disp->diagnosticsHandle = (mxArray*)(optarg) ;
      break ;

    case opt_diagnostic_caller_ref :
      disp->callerRef = (mxArray*)(optarg) ;
      break ;

    case opt_energy_freq :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "ENERGYFREQ is not a plain scalar.") ;
      }
      vl_svmpegasos_set_energy_frequency (svm, (vl_size)*mxGetPr(optarg)) ;
      break ;

    case opt_verbose :
      ++ verbose ;
      disp->verbose = 1 ;
      break ;

    case opt_KINTERS:
    case opt_KL1:
      kernelType = VlHomogeneousKernelIntersection ;
      break ;

    case opt_KCHI2:
      kernelType = VlHomogeneousKernelChi2 ;
      break ;

    case opt_KJS:
      kernelType = VlHomogeneousKernelJS ;
      break ;

    case opt_period:
      if (! vlmxIsPlainScalar(optarg)){
        vlmxError(vlmxErrInvalidArgument, "PERIOD is not a scalar.") ;
      }
      period = *mxGetPr(optarg) ;
      if (period <= 0) {
        vlmxError(vlmxErrInvalidArgument, "PERIOD is not positive.") ;
      }
      break ;

    case opt_gamma:
      if (! vlmxIsPlainScalar(optarg)){
        vlmxError(vlmxErrInvalidArgument, "GAMMA is not a scalar.") ;
      }
      gamma = *mxGetPr(optarg) ;
      if (gamma <= 0) {
        vlmxError(vlmxErrInvalidArgument, "GAMMA is not positive.") ;
      }
      break ;

    case opt_window:
      if (! vlmxIsString(optarg,-1)){
        vlmxError(vlmxErrInvalidArgument, "WINDOW is not a string.") ;
      } else {
        char buffer [1024] ;
        mxGetString(optarg, buffer, sizeof(buffer) / sizeof(char)) ;
        if (vl_string_casei_cmp("uniform", buffer) == 0) {
          windowType = VlHomogeneousKernelMapWindowUniform ;
        } else if (vl_string_casei_cmp("rectangular", buffer) == 0) {
          windowType = VlHomogeneousKernelMapWindowRectangular ;
        } else {
          vlmxError(vlmxErrInvalidArgument, "WINDOW=%s is not recognized.", buffer) ;
        }
      }
      break ;
    }
  }

  if (verbose) {
    mexPrintf("vl_pegasos: Lambda = %g\n", svm->lambda) ;
    mexPrintf("vl_pegasos: BiasMultiplier = %g\n", svm->biasMultiplier) ;
    mexPrintf("vl_pegasos: MaxIterations = %d\n", svm->maxIterations) ;
    mexPrintf("vl_pegasos: permutation size = %d\n", permutationSize) ;
  }

  switch (dataType) {
  case VL_TYPE_FLOAT :
    innerProduct = (VlSvmDatasetInnerProduct)&vl_svmdataset_innerproduct_f ;
    accumulator = (VlSvmDatasetAccumulator)&vl_svmdataset_accumulator_f ;
    break ;
  case VL_TYPE_DOUBLE:
    innerProduct = (VlSvmDatasetInnerProduct)&vl_svmdataset_innerproduct_d ;
    accumulator = (VlSvmDatasetAccumulator)&vl_svmdataset_accumulator_d ;
    break ;
  }

  dataset = vl_svmdataset_new(data,dataDimension) ;
  if (homkermap) {
    map = vl_homogeneouskernelmap_new (kernelType, gamma, n, period, windowType) ;
    mapFunc = (VlSvmDatasetFeatureMap)&vl_homogeneouskernelmap_evaluate_d ;
    vl_svmdataset_set_map(dataset,map,mapFunc,2*n + 1) ;
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */
  if (disp->diagnosticsHandle) {
    vl_svmpegasos_set_diagnostic (svm, (VlSvmDiagnostics)&diagnosticDispatcher, disp) ;
  }

  vl_svmpegasos_train (svm,dataset, numSamples,innerProduct, accumulator,
                       (vl_int8 const *)mxGetData(IN(LABELS))) ;

  /* -----------------------------------------------------------------
   *                                                            Output
   * -------------------------------------------------------------- */

  if (nout >= 1) {
    double * tempBuffer ;
    mwSize dims[2] ;
    dims[0] = svm->dimension ;
    dims[1] = 1 ;
    out[OUT_MODEL] = mxCreateNumericArray(2, dims,
                                          mxDOUBLE_CLASS, mxREAL) ;
    tempBuffer  = (double*) mxGetData(out[OUT_MODEL]) ;
    memcpy(tempBuffer,svm->model,svm->dimension * sizeof(double)) ;
  }

  if (nout >= 2) {
    double * tempBuffer ;
    mwSize dims[2] ;
    dims[0] = 1 ;
    dims[1] = 1 ;

    out[OUT_BIAS] = mxCreateNumericArray(2, dims,
                                         mxDOUBLE_CLASS, mxREAL) ;
    tempBuffer = (double*) mxGetData(out[OUT_BIAS]) ;
    *tempBuffer = svm->bias ;
  }

  if (nout == 3) {
    out[OUT_INFO] = createInfoStruct(svm) ;
  }

  if (homkermap) {
    vl_homogeneouskernelmap_delete(map);
  }
  vl_svmdataset_delete(dataset) ;
  vl_svmpegasos_delete(svm,freeModel) ;
  vl_free(disp) ;
}
vlfeat-0.9.16/toolbox/misc/vl_pegasos.m000066400000000000000000000132661203326130700200360ustar00rootroot00000000000000% VL_PEGASOS PEGASOS linear SVM solver
%   W = VL_PEGASOS(X, Y, LAMBDA) learns a linear SVM W given training
%   vectors X, their labels Y, and the regularization parameter LAMBDA
%   using the PEGASOS [1] solver. The algorithm finds a minimizer W of
%   the objective function
%
%     LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))
%
%   where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
%   the number of training vectors in X.
%
%   [W B INFO] = VL_SVMPEGASOS(X, Y, LAMBDA) learns a linear SVM W
%   and a bias B given training vectors X, their labels Y, and the
%   regularization parameter LAMBDA using the PEGASOS [1]
%   solver. INFO is a struct containing the input parameters plus
%   diagnostic informations:
% 
%   energy::
%     SVM energy value.
% 
%   iterations::
%     Number of iterations performed.
% 
%   elapseTime::
%     Elapsed time since the start of the SVM learning.
% 
%   regulizerTerm::
%     Value of the SVM regulizer term.
% 
%   lossPos::
%     Value of loss function only for data points labeled positives.
% 
%   lossNeg::
%     Value of loss function onlt for data points labeled negatives.
% 
%   hardLossPos::
%     Number of mislabeled positive points.
% 
%   hardLossNeg::
%     Number of mislabeled negative points.
% 
%   ALGORITHM. PEGASOS is an implementation of stochastic subgradient
%   descent. At each iteration a data point is selected at random, the
%   subgradient of the cost function relative to that data point is
%   computed, and a step is taken in that direction. The step size is
%   inversely proportional to the iteration number. See [1] for
%   details.
%
%   VL_SVMPEGASOS() accepts the following options:
% 
%   Epsilon:: [empty]
%     Specify the SVM stopping criterion threshold. If not
%     specified VL_SVMPEGASOS will finish when the maximum number
%     of iterations is reached. The stopping criterion is tested
%     after each ENERGYFREQ iteration. 
% 
%   MaxIterations:: [10 / LAMBDA]
%     Sets the maximum number of iterations.
%
%   BiasMultiplier:: [0]
%     Appends to the data X the specified scalar value B. This
%     approximates the training of a linear SVM with bias.  
%
%   StartingModel:: [null vector]
%     Specify the initial value for the weight vector W.
%
%   StartingIteration:: [1]
%     Specify the iteration number to start from. The only effect
%     is to change the step size, as this is inversely proportional
%     to the iteration number.
%
%   StartingBias:: [0]
%     Specify the inital bias value.
% 
%   BiasLearningRate:: [1]
%     Specify the frequency of the bias learning. The default
%     setting updates the bias at each iteration.
% 
%   Permutation:: [empty]
%     Specify a permutation PERM to be used to sample the data (this
%     disables random sampling). Specifically, at the T-th iteration
%     the algorithm takes a step w.r.t. the PERM[T']-th data point,
%     where T' is T modulo the number of data samples
%     (i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
%     bijective. This allows specifying certain data points more or
%     less frequently, implicitly increasing their relative weight in
%     the error term. A common application is to balance an unbalanced
%     dataset.
%
%   DiagnosticFunction:: [empty]
%     Specify a function handle to be called every ENERGYFREQ iterations.
% 
%   DiagnosticCallRef:: [empty]
%     Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.
% 
%   EnergyFreq:: [100]
%     Specify how often the SVM energy is computed.
% 
%   HOMKERMAP:: [empty]
%     Specify the use of an Homogeneus Kernel map for the training
%     data (See [2],[3]). The passed value N is such that a 2*N+1
%     dimensional approximated kernel map is computed. Each
%     training data point is expanded online into a vector of
%     dimension 2*N+1.
%  
%   KChi2::
%     Compute the map for the Chi2 kernel.
%
%   KINTERS::
%     Compute the map for the intersection kernel.
%
%   KL1::
%     Same as KINTERS, but deprecated as the name is not fully
%     accurate.
%
%   KJS::
%     Compute the map for the JS (Jensen-Shannon) kernel.
%
%   Period:: [automatically tuned]
%     Set the period of the kernel specturm. The approximation is
%     based on periodicizing the kernel specturm. If not specified,
%     the period is automatically set based on the heuristic described
%     in [2].
%
%   Window:: [RECTANGULAR]
%     Set the window used to truncate the spectrum before The window
%     can be either RECTANGULAR or UNIFORM window. See [2] and the API
%     documentation for details.
%
%   Gamma:: [1]
%     Set the homogeneity degree of the kernel. The standard kernels
%     are 1-homogeneous, but sometimes smaller values perform better
%     in applications. See [2] for details.
% 
%   Verbose::
%     Be verbose.
%
%   Example::
%     The options StartingModel and StartingIteration can be used
%     to continue training. I.e., the command
%
%       vl_twister('state',0) ;
%       w = vl_pegasos(x,y,lambda,'NumIterations',1000) ;
%
%     produces the same result as the sequence
%
%       vl_twister('state',0) ;
%       w = vl_pegasos(x,y,lambda,'NumIterations',500) ;
%       w = vl_pegasos(x,y,lambda,'NumIterations',500, ...
%                      'StartingIteration', 501, ...
%                      'StartingModel', w) ;
%
%   REFERENCES::
%     [1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
%     A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
%     SVM. MBP, 2010.
% 
%     [2] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     Proc. CVPR, 2010.
%
%     [3] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     PAMI, 2011 (submitted).
%
%   See also: VL_HOMKERMAP(), VL_HELP().

% AUTHORIGHTS
vlfeat-0.9.16/toolbox/misc/vl_sampleinthist.c000066400000000000000000000065251203326130700212470ustar00rootroot00000000000000/** @internal
 ** @file    samplinthist.c
 ** @author  Andrea Vedaldi
 ** @brief   Sample  an integral histogram - MEX definition
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 

#include 
#include 
#include 

#undef T
#undef SFX
#define T vl_int32
#define SFX i
#include "samplinthist.tc"

#undef T
#undef SFX
#define T vl_uint32
#define SFX ui
#include "samplinthist.tc"

#undef T
#undef SFX
#define T double
#define SFX d
#include "samplinthist.tc"

#undef T
#undef SFX
#define T float
#define SFX f
#include "samplinthist.tc"

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  mwSize dims [3] ;
  int numDims ;
  mwSize const * dimsPt = 0 ;

  void* histPt = 0 ;
  void const* intHistPt = 0 ;
  vl_uint32 const*  boxesPt = 0 ;
  size_t     numLabels = 0 ;
  mxClassID  histClass = mxUINT32_CLASS ;
  size_t     numBoxes  = 0 ;
  int width, height ;

  enum {IN_INTHIST = 0, IN_BOXES, IN_END} ;
  enum {OUT_HIST = 0} ;

  /* ------------------------------------------------------------------
  **                                                Check the arguments
  ** --------------------------------------------------------------- */
  if (nin != 2) {
    vlmxError(vlmxErrInvalidArgument,
             "Two arguments required.") ;
  } else if (nout > 1) {
    vlmxError(vlmxErrInvalidArgument,
             "Too many output arguments.");
  }

  histClass = mxGetClassID(in[IN_INTHIST]) ;
  if (histClass != mxDOUBLE_CLASS &&
      histClass != mxUINT32_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
             "INTHIST must be of either class DOUBLE or UINT32.") ;
  }

  numDims = mxGetNumberOfDimensions(in[IN_INTHIST]) ;
  if (numDims > 3) {
    vlmxError(vlmxErrInvalidArgument,
             "INTHIST must be a MxNxK array.") ;
  }
  intHistPt = mxGetData(in[IN_INTHIST]) ;

  dimsPt = mxGetDimensions(in[IN_INTHIST]) ;
  height    = dimsPt [0] ;
  width     = dimsPt [1] ;
  numLabels = (numDims >= 3) ? dimsPt [2] : 1 ;

  numBoxes = mxGetNumberOfElements(in[IN_BOXES]) ;
  if (numBoxes % 4 != 0) {
    vlmxError(vlmxErrInvalidArgument,
             "The number of elements of BOXES must be a multiple of four.") ;
  }
  numBoxes /= 4 ;

  if (mxGetClassID(in[IN_BOXES]) != mxUINT32_CLASS) {
    vlmxError(vlmxErrInvalidArgument,
             "BOXES must be of class UINT32.") ;
  }
  boxesPt = (vl_uint32*) mxGetData(in[IN_BOXES]) ;

  /* Allocate space for the result */
  dims [0] = numLabels ;
  dims [1] = numBoxes ;
  out [OUT_HIST] = mxCreateNumericArray(2, dims, histClass, mxREAL) ;
  histPt = mxGetData(out[OUT_HIST]) ;

  /* ------------------------------------------------------------------
   *                                          Sample integral histogram
   * --------------------------------------------------------------- */

#define PROCESS(SAMPLE, T)                      \
  SAMPLE (histPt,                               \
          intHistPt, height, width, numLabels,  \
          boxesPt, numBoxes) ;

  switch (histClass) {
  case mxDOUBLE_CLASS: { PROCESS(sample_d,  double)    } ; break ;
  case mxUINT32_CLASS: { PROCESS(sample_ui, vl_uint32) } ; break ;
  default:
    abort() ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_sampleinthist.m000066400000000000000000000013571203326130700212570ustar00rootroot00000000000000% VL_SAMPLINTHIST  Sample integral histogram
%   HISTS = VL_SAMPLINTHIST(INTHIST, BOXES) samples the integral
%   histogram INTHIST to obtain the histograms of the specified
%   BOXES.
%
%   INTHIST is a MxNxK array, where M x N are ``spatial'' dimensions,
%   and K is the number of histogram bins. INTHIST may be of class
%   UINT32 or DOUBLE.
%
%   Each box is a four dimensional vector [IMIN JMIN IMAX JMAX]' of
%   class UINT32 and correspond to the index set [IMIN, IMAX] x [JMIN,
%   JMAX]. To specify an empty box, let IMIN > IMAX.
%
%   HISTS stores one histogram per column (one for each box) and has K
%   rows, one for each histogram bin. HIST is of the same class of
%   INTHIST.
%
%   See also: VL_INTHIST(), VL_IMINTEGRAL(), VL_HELP().
vlfeat-0.9.16/toolbox/misc/vl_simdctrl.c000066400000000000000000000017311203326130700201760ustar00rootroot00000000000000/** @file   vl_simdctlr.c
 ** @brief  vl_simdctrl MEX definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "mexutils.h"

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_ENABLED = 0} ;
  enum {OUT_ENABLED = 0} ;

  vl_bool wasEnabled = vl_get_simd_enabled() ;

  if (nout > 1) {
    vlmxError(vlmxErrInvalidArgument,
              "at most one output argument") ;
  }

  OUT(ENABLED) = vlmxCreatePlainScalar (wasEnabled) ;

  if (nin == 0) {
    return ;
  }
  if (nin > 1) {
    vlmxError(vlmxErrInvalidArgument,
      "At most one argument") ;
  }
  if (!vlmxIsScalar(IN(ENABLED))) {
    vlmxError(vlmxErrInvalidArgument,
      "ENABLED must be a scalar") ;
  }

  vl_set_simd_enabled ((vl_bool) mxGetScalar(IN(ENABLED))) ;
}
vlfeat-0.9.16/toolbox/misc/vl_simdctrl.m000066400000000000000000000007401203326130700202070ustar00rootroot00000000000000% VL_SIMDCTRL  Toggle VLFeat SIMD optimizations
%   VL_SIMDCTRL() returns TRUE if VLFeat SIMD optimizations are enabled
%   and FALSE otherwise.
%
%   VL_SIMDCTRL(TRUE) enables VLFeat SIMD optimizations. VL_SIMDCTRL(FALSE)
%   disables them.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_svmpegasos.c000066400000000000000000000566011203326130700205520ustar00rootroot00000000000000/** @file vl_svmpegasos.c
 ** @brief vl_svmpegasos MEX definition
 ** @author Daniele Perrone
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2012 Daniele Perrone.
Copyright (C) 2011-12 Andrea Vedaldi.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 
#include 
#include 

#include 
#include 

#include "kdtree.h"

/* Diagnostic Dispatcher Object */
typedef struct _DiagnosticsDispatcher {
  mxArray* diagnosticsHandle ;
  mxArray * callerRef ;
  int verbose ;
} DiagnosticsDispatcher ;

/* Info */
enum {dimension,
      iterations,
      maxIterations,
      epsilon,
      lambda,
      biasMultiplier,
      biasLearningRate,
      energyFrequency,
      elapsedTime,
      energy,
      regularizerTerm,
      lossPos,
      lossNeg,
      hardLossPos,
      hardLossNeg};

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Set value of scalar double mxArray
 ** @param array scalar mxArray.
 ** @param value new value.
 **/

void setDoubleValue(mxArray* array, double value)
{
  double* temp = (double*) mxGetData(array) ;
  *temp = value ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Set value of scalar integer  mxArray
 **
 ** @param array scalar mxArray.
 ** @param value new value.
 **
 **/

void setUintValue(mxArray* array, vl_uint32 value)
{
  vl_uint32 * temp = (vl_uint32*) mxGetData(array) ;
  *temp = value ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Get training data from training dataset struct
 **
 ** @param trainingData Matlab training dataset struct.
 ** @param data  pointer variable where to save the data pointer.
 ** @param dataDimension pointer to variable where to save data dimension.
 ** @param dataType pointer to variable where to save data type.
 ** @param numSamples pointer to variable where to save the number of samples.
 ** @param labels pointer to variable where to save the set of labels.
 **
 ** The function extracts the information provided in the Matlab
 ** training set struct.
 **
 **/

void  getTrainingData(const mxArray* trainingData, void** data, vl_size* dataDimension, vl_type* dataType, vl_size* numSamples, vl_int8** labels)
{
  mxClassID dataClass ;
  mxArray* field = NULL ;


  if (! mxIsStruct(trainingData))
    vlmxError(vlmxErrInvalidArgument,
              "DATA must be a valid TRAINING SET Struct.") ;

  /* Get data */
  field = mxGetField(trainingData, 0, "data") ;
  if (field == NULL)
    vlmxError(vlmxErrInvalidArgument,
              "DATA array missing in TRAINING SET Struct.") ;
  *data = mxGetData (field) ;

  *dataDimension = mxGetM(field) ;
  *numSamples = mxGetN(field) ;

  dataClass = mxGetClassID(field) ;

  switch (dataClass) {
  case mxSINGLE_CLASS : *dataType = VL_TYPE_FLOAT ; break ;
  case mxDOUBLE_CLASS : *dataType = VL_TYPE_DOUBLE ; break ;
  default:
    vlmxError(vlmxErrInvalidArgument,
              "DATA must be either SINGLE or DOUBLE.") ;
  }

  /* Get labels */
  field = mxGetField(trainingData, 0, "labels") ;
  if (field == NULL)
    vlmxError(vlmxErrInvalidArgument,
              "DATA array missing in TRAINING SET Struct.") ;
  if (mxGetClassID(field) != mxINT8_CLASS)
    vlmxError(vlmxErrInvalidArgument, "LABELS must be INT8.") ;

  if (! vlmxIsVector(field, *numSamples)) {
    vlmxError(vlmxErrInvalidArgument, "LABELS is not a vector of dimension compatible with DATA.") ;
  }

  *labels = (vl_int8*) mxGetData(field) ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Set a point map to the training dataset
 ** @param trainingData Matlab training dataset struct.
 ** @param dataset      dataset struct to be passed to pegasos SVM.
 ** @param n            pointer to a variable where the order of the
 ** map is saved.
 **
 ** The function checks if a map is present in @a trainingData and add
 ** it to @a dataset.
 **/

void setMap(const mxArray* trainingData, VlSvmDataset* dataset, int* n)
{
  mxArray* field = NULL ;
  mxArray* subfield = NULL ;

  /* map function */
  VlSvmDatasetFeatureMap mapFunc  = NULL ;

  /* Homkermap */
  VlHomogeneousKernelType kernelType = VlHomogeneousKernelChi2 ;
  VlHomogeneousKernelMapWindowType windowType = VlHomogeneousKernelMapWindowRectangular ;
  double gamma = 1.0 ;
  double period = -1 ;

  void * map = NULL ;

  field = mxGetField(trainingData, 0, "map") ;
  if (field != NULL)
    {
      subfield = mxGetField(field, 0, "order") ;
      if (subfield != NULL)
        {
          if (! vlmxIsPlainScalar(subfield)) {
            vlmxError(vlmxErrInvalidArgument, "N is not a scalar.") ;
          }
          *n = *mxGetPr(subfield) ;
          if (*n < 0) {
            vlmxError(vlmxErrInvalidArgument, "N is negative.") ;
          }

          subfield = mxGetField(field, 0, "kernelType") ;
          if (subfield != NULL)
            {
              char buffer [1024] ;
              mxGetString(subfield, buffer, sizeof(buffer) / sizeof(char)) ;
              if (vl_string_casei_cmp("kl1", buffer) == 0)
                kernelType = VlHomogeneousKernelIntersection ;
              else if (vl_string_casei_cmp("kjs", buffer) == 0)
                kernelType = VlHomogeneousKernelJS ;
              else if (vl_string_casei_cmp("kinters", buffer) == 0)
                kernelType = VlHomogeneousKernelIntersection ;
            }

          /* get window type */
          subfield = mxGetField(field, 0, "windowType") ;
          if (subfield != NULL)
            {
              char buffer [1024] ;
              mxGetString(subfield, buffer, sizeof(buffer) / sizeof(char)) ;
              if (vl_string_casei_cmp("uniform", buffer) == 0)
                windowType = VlHomogeneousKernelMapWindowUniform ;
            }

          /* get gamma */
          subfield = mxGetField(field, 0, "gamma") ;
          if (subfield != NULL)
            {
              if (! vlmxIsPlainScalar(subfield))
                vlmxError(vlmxErrInvalidArgument, "GAMMA is not a scalar.") ;

              gamma = *mxGetPr(subfield) ;
              if (gamma <= 0)
                vlmxError(vlmxErrInvalidArgument, "GAMMA is not positive.") ;
            }

          /* get period */
          subfield = mxGetField(field, 0, "period") ;
          if (subfield != NULL)
            {
              if (! vlmxIsPlainScalar(subfield))
                vlmxError(vlmxErrInvalidArgument, "PERIOD is not a scalar.") ;

              period = *mxGetPr(subfield) ;
              if (period <= 0)
                vlmxError(vlmxErrInvalidArgument, "PERIOD is not positive.") ;

            }
          else {
            period = -1 ;
          }

          map = vl_homogeneouskernelmap_new (kernelType, gamma, *n, period, windowType) ;
          mapFunc = (VlSvmDatasetFeatureMap)&vl_homogeneouskernelmap_evaluate_d ;

          vl_svmdataset_set_map(dataset,map,mapFunc,2*(*n) + 1) ;
        }
      else {
        vlmxError(vlmxErrInvalidArgument, "Unknown feature map type.") ;
      }
    }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Create a Matlab struct with diagnostics informations.
 **
 ** @param svm SVM status.
 **
 **  The function create a Matlab struct with the following fields:
 **  - dimension: SVM dimension.
 **  - iterations: number of iterations performed.
 **  - maxIterations: maximum number of iterations.
 **  - epsilon: SVM stop criterion.
 **  - lambda: SVM pegasos paramater.
 **  - biasMultiplier: constant multiplying the SVM bias.
 **  - biasLearningRate: learning rate for the SVM bias.
 **  - energyFrequency: rate of SVM energy update.
 **  - elapseTime: elapsed time since the start of the SVM learning.
 **  - energy: SVM energy value.
 **  - regulizerTerm: value of the SVM regulizer term.
 **  - lossPos: value of loss function only for data points labeled positives.
 **  - lossNeg: value of loss function only for data points labeled negatives.
 **  - hardLossPos: number of mislabeled positive points.
 **  - hardLossNeg: number of mislabeled negative points.
 **/

mxArray * createInfoStruct(VlSvmPegasos* svm)
{
  mwSize dims[] = {1 , 1} ;

  const char* names [15] = {"dimension", "iterations", "maxIterations",
                            "epsilon", "lambda", "biasMultiplier",
                            "biasLearningRate", "energyFrequency", "elapsedTime",
                            "energy", "regularizerTerm", "lossPos",
                            "lossNeg", "hardLossPos", "hardLossNeg"} ;

  mxArray *output, *dimension, *iterations, *maxIterations, *epsilon ;
  mxArray *lambda, *biasMultiplier ;
  mxArray *biasLearningRate, *energyFrequency, *elapsedTime ;

  output = mxCreateStructArray(1, dims, 15, names);

  dimension = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(dimension,svm->dimension) ;

  iterations = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(iterations,svm->iterations) ;

  maxIterations = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(maxIterations,svm->maxIterations) ;

  epsilon = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(epsilon,svm->epsilon) ;

  lambda = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(lambda,svm->lambda) ;

  biasMultiplier = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(biasMultiplier,svm->biasMultiplier) ;

  biasLearningRate = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(biasLearningRate,svm->biasLearningRate) ;

  energyFrequency = mxCreateNumericMatrix(1, 1,mxUINT32_CLASS, mxREAL) ;
  setUintValue(energyFrequency,svm->energyFrequency) ;

  elapsedTime = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
  setDoubleValue(elapsedTime,svm->elapsedTime) ;

  mxSetField(output, 0, "dimension", dimension) ;
  mxSetField(output, 0, "iterations", iterations) ;
  mxSetField(output, 0, "maxIterations", maxIterations) ;
  mxSetField(output, 0, "epsilon", epsilon) ;
  mxSetField(output, 0, "lambda", lambda) ;
  mxSetField(output, 0, "biasMultiplier", biasMultiplier) ;
  mxSetField(output, 0, "biasLearningRate", biasLearningRate) ;
  mxSetField(output, 0, "energyFrequency", energyFrequency) ;
  mxSetField(output, 0, "elapsedTime", elapsedTime) ;

  if (svm->objective) {
    mxArray * energy, *regularizerTerm, *lossPos, *lossNeg, *hardLossPos, *hardLossNeg ;
    energy = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(energy,svm->objective->energy) ;

    regularizerTerm = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(regularizerTerm,svm->objective->regularizer) ;

    lossPos = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(lossPos,svm->objective->lossPos) ;

    lossNeg = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(lossNeg,svm->objective->lossNeg) ;

    hardLossPos = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(hardLossPos,svm->objective->hardLossPos) ;

    hardLossNeg = mxCreateNumericMatrix(1, 1,mxDOUBLE_CLASS, mxREAL) ;
    setDoubleValue(hardLossNeg,svm->objective->hardLossNeg) ;

    mxSetField(output, 0, "energy", energy) ;
    mxSetField(output, 0, "regularizerTerm", regularizerTerm) ;
    mxSetField(output, 0, "lossPos", lossPos) ;
    mxSetField(output, 0, "lossNeg", lossNeg) ;
    mxSetField(output, 0, "hardLossPos", hardLossPos) ;
    mxSetField(output, 0, "hardLossNeg", hardLossNeg) ;
  }

  return output ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Diagnostics Callback.
 ** @param svm SVM status.
 **
 ** The function is the callbach called by pegasos SVM when the full
 ** energy and the diagnostic informations are computed. Is a Matlab
 ** Callback has been given in input, the function calls it passing
 ** the same informations as a matlab struct.
 **/

void diagnosticDispatcher(VlSvmPegasos* svm)
{
  if (svm->diagnosticCallerRef) {
    mxArray *lhs[1],*rhs[3] ;
    DiagnosticsDispatcher* dispatcherObject = (DiagnosticsDispatcher*) svm->diagnosticCallerRef ;

    lhs[0] = NULL ;
    rhs[0] = dispatcherObject->diagnosticsHandle ;
    rhs[1] = createInfoStruct(svm) ;

    if (dispatcherObject->callerRef) {
      rhs[2] = dispatcherObject->callerRef ;
    } else {
      mwSize dims[2] ;
      dims[0] = 1 ;
      dims[1] = 1 ;
      rhs[2] = mxCreateNumericArray(2, dims,
                                    mxDOUBLE_CLASS, mxREAL) ;
    }

    if( mxIsClass( rhs[0] , "function_handle")) {
      mexCallMATLAB(1,lhs,3,rhs,"feval");
    }

    if (lhs[0]) {
      dispatcherObject->callerRef = lhs[0] ;
    }

    mxDestroyArray(rhs[1]) ;

    if (dispatcherObject->verbose) {
      mexPrintf("vl_svmpegasos: Iteration = %d\n",svm->iterations) ;
      mexPrintf("vl_svmpegasos: elapsed time = %f\n",svm->elapsedTime) ;
      mexPrintf("vl_svmpegasos: energy = %f\n",svm->objective->energy) ;
    }
  }
}

/* option codes */
enum {
  opt_verbose, opt_bias_multiplier, opt_max_iterations, opt_epsilon,
  opt_starting_iteration, opt_starting_model, opt_permutation,
  opt_bias_learningrate, opt_diagnostic, opt_energy_freq,
  opt_diagnostic_caller_ref, opt_block_sparse, opt_starting_bias, opt_validation_data
} ;

/* options */
vlmxOption  options [] = {
  {"Verbose",           0,   opt_verbose             },
  {"BiasMultiplier",    1,   opt_bias_multiplier     },
  {"MaxIterations",     1,   opt_max_iterations      },
  {"Epsilon",           1,   opt_epsilon             },
  {"StartingIteration", 1,   opt_starting_iteration  },
  {"StartingModel",     1,   opt_starting_model      },
  {"StartingBias",      1,   opt_starting_bias       },
  {"Permutation",       1,   opt_permutation         },
  {"BiasLearningRate",  1,   opt_bias_learningrate   },
  {"DiagnosticFunction",1,   opt_diagnostic          },
  {"DiagnosticCallRef", 1,   opt_diagnostic_caller_ref},
  {"EnergyFreq",        1,   opt_energy_freq         },
  {"ValidationData",    1,   opt_validation_data     },
  {0,                   0,   0                       }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_DATA, IN_LAMBDA, IN_END} ;
  enum {OUT_MODEL = 0, OUT_BIAS, OUT_INFO} ;

  int verbose = 0 ;
  int opt ;
  int next = IN_END ;
  mxArray const *optarg ;
  mxArray *inputModel = NULL;
  VlSvmPegasos* svm = NULL ;
  vl_bool freeModel = VL_TRUE ;
  vl_size dataDimension ;
  vl_uint32* matlabPermutation ;

  void * data = NULL ;
  vl_type dataType ;
  vl_size numSamples = 0 ;
  vl_int8 * labels = NULL ;

  vl_uint32 * permutation  = NULL ;
  vl_size permutationSize = 0 ;

  VlSvmDatasetInnerProduct innerProduct = NULL ;
  VlSvmDatasetAccumulator accumulator = NULL ;

  DiagnosticsDispatcher* disp ;
  int n = 0 ;

  /* Validation Data */
  void * validationData = NULL ;
  vl_size validationDataDimension ;
  vl_type validationDataType ;
  vl_size validationNumSamples = 0 ;
  vl_int8 * validationLabels = NULL ;

  int validationN = 0 ;

  VlSvmDataset* validationDataset = NULL ;
  VlSvmDataset* dataset = NULL ;

  VL_USE_MATLAB_ENV ;

  disp = (DiagnosticsDispatcher*) vl_malloc(sizeof(DiagnosticsDispatcher)) ;
  disp->diagnosticsHandle = NULL ;
  disp->callerRef = NULL ;
  disp->verbose = 0 ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 2) {
    vlmxError(vlmxErrInvalidArgument,
              "At least three arguments are required.") ;
  } else if (nout > 3) {
    vlmxError(vlmxErrInvalidArgument,
              "Too many output arguments.");
  }

  getTrainingData(IN(DATA),&data,&dataDimension,&dataType,&numSamples,&labels) ;

  dataset = vl_svmdataset_new(data,dataDimension) ;

  setMap(IN(DATA),dataset,&n) ;

  svm = vl_svmpegasos_new ((2*n + 1)*dataDimension,*mxGetPr(IN(LAMBDA))) ;

  if (! vlmxIsPlainScalar(IN(LAMBDA))) {
    vlmxError(vlmxErrInvalidArgument, "LAMBDA is not a plain scalar.") ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
    case opt_bias_multiplier :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "BIASMULTIPLIER is not a plain scalar.") ;
      }
      vl_svmpegasos_set_bias_multiplier(svm, *mxGetPr(optarg)) ;
      break ;

    case opt_max_iterations :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "MAXITERATIONS is not a plain scalar.") ;
      }
      if (*mxGetPr(optarg) < 0) {
        vlmxError(vlmxErrInvalidArgument, "MAXITERATIONS is negative.") ;
      }
      vl_svmpegasos_set_maxiterations(svm, (vl_size) *mxGetPr(optarg)) ;
      break ;

    case opt_epsilon :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "EPSILON is not a plain scalar.") ;
      }
      if (*mxGetPr(optarg) < 0) {
        vlmxError(vlmxErrInvalidArgument, "EPSILON is negative.") ;
      }
      vl_svmpegasos_set_epsilon(svm, (double) *mxGetPr(optarg)) ;
      break ;

    case opt_starting_iteration :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGITERATION is not a plain scalar.") ;
      }
      if (*mxGetPr(optarg) < 1) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGITERATION is smaller than 1.") ;
      }
      vl_svmpegasos_set_iterations(svm, (vl_size) *mxGetPr(optarg) - 1) ;
      break ;

    case opt_starting_model :
      if (!vlmxIsVector(optarg, -1) ||
          mxIsComplex(optarg) ||
          mxGetClassID(optarg) != mxDOUBLE_CLASS) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGMODEL is not a real vector.") ;
      }
      inputModel = mxDuplicateArray(optarg) ;
      vl_svmpegasos_set_model(svm,(double*) mxGetData(inputModel)) ;
      freeModel = VL_FALSE ;
      break ;

    case opt_starting_bias :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "STARTINGBIAS is not a plain scalar.") ;
      }
      vl_svmpegasos_set_bias(svm, (double) *mxGetPr(optarg)) ;
      break ;

    case opt_permutation :
      {
        if (!vlmxIsVector(optarg, -1) ||
            mxIsComplex(optarg) ||
            mxGetClassID(optarg) != mxUINT32_CLASS) {
          vlmxError(vlmxErrInvalidArgument, "PERMUTATION is not a UINT32 vector.") ;
        }
        permutationSize = mxGetNumberOfElements(optarg) ;
        permutation = mxMalloc(sizeof(vl_uint32) * permutationSize) ;
        matlabPermutation = mxGetData(optarg) ;
        {
          /* adjust indexing */
          vl_uindex k ;
          for (k = 0 ; k < permutationSize ; ++k) {
            permutation[k] = matlabPermutation[k] - 1 ;
            if (permutation[k] >= numSamples) {
              vlmxError(vlmxErrInconsistentData,
                        "Permutation indexes out of bounds: PERMUTATION(%d) = %d > %d = number of data samples.",
                        k + 1, permutation[k] + 1, numSamples) ;
            }
          }
        }

        vl_svmpegasos_set_permutation(svm,permutation,permutationSize) ;
        break ;
      }

    case opt_bias_learningrate :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "BIASLEARNINGRATE is not a plain scalar.") ;
      }

      if (mxGetClassID(optarg) != mxDOUBLE_CLASS) {
        vlmxError(vlmxErrInvalidArgument, "BIASLEARNINGRATE must be double.") ;
      }
      vl_svmpegasos_set_bias_learningrate(svm, (double)*mxGetPr(optarg)) ;
      break ;

    case opt_diagnostic :
      if( !mxIsClass( optarg , "function_handle")) {
        mexErrMsgTxt("DIAGNOSTICSFUNCTION must be  a function handle.");
      }
      disp->diagnosticsHandle = (mxArray*)(optarg) ;
      break ;

    case opt_diagnostic_caller_ref :
      disp->callerRef = (mxArray*)(optarg) ;
      break ;

    case opt_energy_freq :
      if (!vlmxIsPlainScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "ENERGYFREQ is not a plain scalar.") ;
      }
      vl_svmpegasos_set_energy_frequency (svm, (vl_size)*mxGetPr(optarg)) ;

      break ;

    case opt_validation_data :
      getTrainingData(optarg,
                      &validationData,&validationDataDimension,&validationDataType,
                      &validationNumSamples,&validationLabels) ;

      if (validationDataType != dataType) {
        vlmxError(vlmxErrInvalidArgument, "VALIDATIONDATA type must be the same of DATA type.") ;
      }

      validationDataset = vl_svmdataset_new(validationData,validationDataDimension) ;
      setMap(optarg,validationDataset,&validationN) ;

      if (validationDataDimension*(1+2*validationN) != dataDimension*(1+2*n)) {
        vlmxError(vlmxErrInvalidArgument, "VALIDATIONDATA dimension must be the same of DATA dimension.") ;
      }
      break ;

    case opt_verbose :
      ++ verbose ;
      disp->verbose = 1 ;
      break ;
    }
  }

  if (verbose) {
    mexPrintf("vl_svmpegasos: Lambda = %g\n", svm->lambda) ;
    mexPrintf("vl_svmpegasos: BiasMultiplier = %g\n", svm->biasMultiplier) ;
    mexPrintf("vl_svmpegasos: MaxIterations = %d\n", svm->maxIterations) ;
    mexPrintf("vl_svmpegasos: permutation size = %d\n", permutationSize) ;
  }

  switch (dataType) {
  case VL_TYPE_FLOAT :
    innerProduct = (VlSvmDatasetInnerProduct)&vl_svmdataset_innerproduct_f ;
    accumulator = (VlSvmDatasetAccumulator)&vl_svmdataset_accumulator_f ;
    break ;
  case VL_TYPE_DOUBLE:
    innerProduct = (VlSvmDatasetInnerProduct)&vl_svmdataset_innerproduct_d ;
    accumulator = (VlSvmDatasetAccumulator)&vl_svmdataset_accumulator_d ;
    break ;
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */

  if (disp->diagnosticsHandle) {
    vl_svmpegasos_set_diagnostic (svm, (VlSvmDiagnostics)&diagnosticDispatcher, disp) ;
  }

  if (validationDataset == NULL) {
    vl_svmpegasos_train (svm,dataset, numSamples,innerProduct, accumulator,labels) ;
  } else {
    vl_svmpegasos_train_validation_data (svm,dataset, numSamples,innerProduct,
                                         accumulator,labels, validationDataset,
                                         validationNumSamples, validationLabels) ;
  }

  /* -----------------------------------------------------------------
   *                                                            Output
   * -------------------------------------------------------------- */

  if (nout >= 1) {
    mwSize dims[2] ;
    double * tempBuffer ;
    dims[0] = svm->dimension ;
    dims[1] = 1 ;

    out[OUT_MODEL] = mxCreateNumericArray(2, dims,
                                          mxDOUBLE_CLASS, mxREAL) ;

    tempBuffer = (double*) mxGetData(out[OUT_MODEL]) ;
    memcpy(tempBuffer,svm->model,svm->dimension * sizeof(double)) ;
  }

  if (nout >= 2) {
    mwSize dims[2] ;
    double * tempBuffer ;
    dims[0] = 1 ;
    dims[1] = 1 ;

    out[OUT_BIAS] = mxCreateNumericArray(2, dims,
                                         mxDOUBLE_CLASS, mxREAL) ;

    tempBuffer = (double*) mxGetData(out[OUT_BIAS]) ;
    *tempBuffer = svm->bias ;
  }

  if (nout == 3) {
    out[OUT_INFO] = createInfoStruct(svm) ;
  }

  if (dataset->map) {
    vl_homogeneouskernelmap_delete(dataset->map);
  }
  vl_svmdataset_delete(dataset) ;
  vl_svmpegasos_delete(svm,freeModel) ;

  vl_free(disp) ;
}
vlfeat-0.9.16/toolbox/misc/vl_svmpegasos.m000066400000000000000000000117131203326130700205570ustar00rootroot00000000000000% VL_SVMPEGASOS PEGASOS linear SVM solver
%   W = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W given training
%   struct DATA, and the regularization parameter LAMBDA using the
%   PEGASOS [1] solver. The algorithm finds a minimizer W of the
%   objective function
%
%     LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))
%
%   where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
%   the number of training vectors in X.
%
%   The training struct DATA is created using the function
%   VL_MAKETRAININGSET.
% 
%   [W B INFO] = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W
%   and a bias B given training struct DATA, and the regularization
%   parameter LAMBDA using the PEGASOS [1] solver. INFO is a struct
%   containing the input parameters plus diagnostic informations:
% 
%   energy::
%     SVM energy value.
% 
%   iterations::
%     Number of iterations performed.
% 
%   elapseTime::
%     Elapsed time since the start of the SVM learning.
% 
%   regulizerTerm::
%     Value of the SVM regulizer term.
% 
%   lossPos::
%     Value of loss function only for data points labeled positives.
% 
%   lossNeg::
%     Value of loss function onlt for data points labeled negatives.
% 
%   hardLossPos::
%     Number of mislabeled positive points.
% 
%   hardLossNeg::
%     Number of mislabeled negative points.
%   
%   ALGORITHM. PEGASOS is an implementation of stochastic subgradient
%   descent. At each iteration a data point is selected at random, the
%   subgradient of the cost function relative to that data point is
%   computed, and a step is taken in that direction. The step size is
%   inversely proportional to the iteration number. See [1] for
%   details.
%
%   VL_SVMPEGASOS() accepts the following options:
% 
%   Epsilon:: [empty]
%     Specify the SVM stopping criterion threshold. If not
%     specified VL_SVMPEGASOS will finish when the maximum number
%     of iterations is reached. The stopping criterion is tested
%     after each ENERGYFREQ iteration. 
% 
%   MaxIterations:: [10 / LAMBDA]
%     Sets the maximum number of iterations.
%
%   BiasMultiplier:: [0]
%     Appends to the data X the specified scalar value B. This
%     approximates the training of a linear SVM with bias.  
%
%   StartingModel:: [null vector]
%     Specify the initial value for the weight vector W.
%
%   StartingIteration:: [1]
%     Specify the iteration number to start from. The only effect
%     is to change the step size, as this is inversely proportional
%     to the iteration number.
%
%   StartingBias:: [0]
%     Specify the inital bias value.
% 
%   BiasLearningRate:: [1]
%     Specify the frequency of the bias learning. The default
%     setting updates the bias at each iteration.
% 
%   Permutation:: [empty]
%     Specify a permutation PERM to be used to sample the data (this
%     disables random sampling). Specifically, at the T-th iteration
%     the algorithm takes a step w.r.t. the PERM[T']-th data point,
%     where T' is T modulo the number of data samples
%     (i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
%     bijective. This allows specifying certain data points more or
%     less frequently, implicitly increasing their relative weight in
%     the error term. A common application is to balance an unbalanced
%     dataset.
%
%   DiagnosticFunction:: [empty] 
%     Specify a function handle to be called every ENERGYFREQ
%     iterations.
%     The function must be of the form:
%       
%       function o = diagnostics(svm,x)
%     
%     Where in the first iteration x is the variable passed as 
%     "DiagnosticCallRef", and the consecutive ones x is the
%     variable o returned in the previous iteration.
% 
%   DiagnosticCallRef:: [empty]
%     Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.
% 
%   EnergyFreq:: [100]
%     Specify how often the SVM energy is computed.
% 
%   ValidationData::
%     Specify a validation dataset. The validation dataset must be
%     created using VL_MAKETRAININGSET. If specified, the energy
%     value and all the diagnostic informations are computed on the
%     validation dataset, otherwise the training dataset is used.
%
%   Verbose::
%     Be verbose.
%
%   Example::
%     The options StartingModel and StartingIteration can be used
%     to continue training. I.e., the command
%
%       vl_twister('state',0) ;
%       dataset = vl_maketrainingset(x,y) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;
%
%     produces the same result as the sequence
%
%       vl_twister('state',0) ;
%       dataset = vl_maketrainingset(x,y) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',500) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',500, ...
%                      'StartingIteration', 501, ...
%                      'StartingModel', w) ;
%
%   REFERENCES::
%     [1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
%     A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
%     SVM. MBP, 2010.
%
%   See also: VL_MAKETRAININGSET(), VL_HOMKERMAP(), VL_HELP().

% AUTHORIGHTSvlfeat-0.9.16/toolbox/misc/vl_twister.c000066400000000000000000000120021203326130700200470ustar00rootroot00000000000000/** @internal
 ** @file    vl_twister.c
 ** @brief   vl_twister - MEX definition
 ** @author  Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 
#include 

#include 

/* driver */
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {
    MANIP_STATE,
    RUN_GENERATOR
  } mode ;

  VlRand * rand ;

  VL_USE_MATLAB_ENV ;

  rand = vl_get_rand() ;

  /** -----------------------------------------------------------------
   **                                               Check the arguments
   ** -------------------------------------------------------------- */

  if (nout > 1) {
    vlmxError(vlmxErrTooManyInputArguments, NULL) ;
  }

  if (nin > 0 && ! mxIsNumeric(in[0])) {
    mode = MANIP_STATE ;
  } else {
    mode = RUN_GENERATOR ;
  }

  switch (mode) {
  case RUN_GENERATOR:
    {
      enum { maxNumDimensions = 30 } ;
      vl_size numDimensions = 2, n ;
      vl_uindex k ;
      mwSize dimensions [maxNumDimensions] = {1, 1} ;
      double * x ;

      if (nin > 1) {
        /* TWISTER(N1 N2 ...) style */
        if (nin >= maxNumDimensions) {
          vlmxError(vlmxErrTooManyInputArguments,
                    "Too many dimensions specified.") ;
        }
        for (k = 0 ; k < (unsigned)nin ; ++k) {
          if (! vlmxIsPlainScalar(in[k])) {
            vlmxError(vlmxErrInvalidArgument,
                     "The %d-th argument is not a plain scalar.", k + 1) ;
          }
          if (mxGetScalar(in[k]) < 0) {
            vlmxError(vlmxErrInvalidArgument,
                      "The %d-th argument is negative.", k + 1) ;
          }
          dimensions[k] = mxGetScalar(in[k]) ;
        }
        numDimensions = k ;

      } else if (nin == 1) {
        /* TWISTER([N1 N2 ...]) style */
        if (! vlmxIsPlainVector(in[0], -1)) {
          vlmxError(vlmxErrInvalidArgument,
                   "The argument is not a plain vector.") ;
        }

        x = mxGetPr(in[0]) ;
        n = mxGetNumberOfElements(in[0]) ;
        numDimensions = VL_MAX(2, n) ;

        if (numDimensions > maxNumDimensions) {
          vlmxError(vlmxErrInvalidArgument,
                   "Too many dimensions specified.") ;
        }

        if (n == 1) {
          if (*x < 0) {
            vlmxError(vlmxErrInvalidArgument,
                      "The specified dimension is negative.") ;
          }
          dimensions[0] = dimensions[1] = *x ;
        } else {
          for (k = 0 ; k < n ; ++k) {
            if (x[k] < 0) {
              vlmxError(vlmxErrInvalidArgument,
                        "One of the specified dimensions is negative.") ;
            }
            dimensions[k] = x[k] ;
          }
        }
      }

      out[0] = mxCreateNumericArray (numDimensions, dimensions, mxDOUBLE_CLASS, mxREAL) ;
      n = mxGetNumberOfElements (out[0]) ;
      x = mxGetPr (out[0]) ;
      for (k = 0 ; k < n ; ++k) {
        x[k] = vl_rand_res53(rand) ;
      }
    }
    break ;

  case MANIP_STATE:
    {
      enum { buff_size = 32 } ;
      char buff [buff_size] ;

      /* check for 'state' string */
      if (! vlmxIsString(in[0], -1)                 ||
          mxGetString(in[0], buff, buff_size)       ||
          vl_string_casei_cmp ("state", buff) != 0   ) {
        vlmxError(vlmxErrInvalidArgument, NULL) ;
      }

      /* TWISTER('state') */
      if (nin == 1) {
        vl_uindex i ;
        vl_uint32 * data ;
        out[0] = mxCreateNumericMatrix (625, 1, mxUINT32_CLASS, mxREAL) ;
        data = mxGetData(out[0]) ;
        for (i = 0 ; i < 624 ; ++i) data[i] = rand->mt[i] ;
        data[624] = (vl_uint32) rand->mti ;
      } else {
        if (vlmxIsPlainScalar(in[1])) {
          /* TWISTER('state', X) */
          vl_uint32 x = (vl_uint32) mxGetScalar(in[1]) ;
          vl_rand_seed (rand, x) ;
        } else if (mxIsNumeric(in[1])                                &&
                   mxGetClassID(in[1]) == mxUINT32_CLASS             &&
                   mxGetNumberOfElements(in[1]) == 624+1             &&
                   ((vl_uint32 const*)mxGetData(in[1]))[624] <= 624  ) {
          /* TWISTER('state', STATE) */
          vl_uindex i ;
          vl_uint32 * data = mxGetData(in[1]) ;
          for (i = 0 ; i < 624 ; ++i) rand->mt[i] = data[i] ;
          rand->mti = data [624] ;
        } else if (mxIsNumeric(in[1])                    &&
                   mxGetClassID(in[1]) == mxDOUBLE_CLASS &&
                   mxGetNumberOfElements(in[1]) <= 624) {
          /* TWISTER('state', KEY) */
          vl_uint32 key [624] ;
          double const * x = mxGetPr(in[1]) ;
          vl_size n = mxGetNumberOfElements(in[1]) ;
          vl_uindex k ;
          for (k = 0 ; k < n ; ++k) {
            key [k] = x [k] ;
          }
          vl_rand_seed_by_array (rand, key, n) ;
        }
      }
    }
    break ;

  default:
    abort() ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_twister.m000066400000000000000000000023101203326130700200620ustar00rootroot00000000000000% VL_TWISTER Random number generator
%    VL_TWISTER() is essentially equivalent to MATLAB native RAND()
%    when using the Twister random number generator. VL_TWISTER(),
%    VL_TWISTER(M,N,P,...)  and VL_TWISTER([M N P ...]) are equivalent
%    to RAND(), RAND(M,N,P,...)  and RAND([M N P ...]) respectively.
%
%    The state of the random generator can be seeded by
%    VL_TWISTER('STATE', X), where X is a DOUBLE scalar (this is
%    equivalent to RAND('TWISTER', X)). The state can be read by
%    VL_TWISTER('STATE') (equivalent to RAND('TWISTER')) and set by
%    VL_TWISTER('STATE', STATE) (equivalent to RAND('TWISTER',
%    STATE)). Here STATE is a vector of 625 elements of class
%    UINT32. Finally VL_TWISTER('STATE',KEY) seeds the generator by a
%    vector of DOUBLE of length not greater than 624.
%
%    VL_TWISTER() is slightly faster than RAND(). Moreover it can be
%    used to control the state of the random number generator used by
%    all VLFEAT functions.
%
%    See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_version.c000066400000000000000000000031701203326130700200410ustar00rootroot00000000000000/** @file   vl_version.c
 ** @brief  vl_version MEX definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "mexutils.h"
#include 

#include 

/* option codes */
enum {
  opt_verbose
} ;

/* options */
vlmxOption options [] = {
{"Verbose",          0,   opt_verbose          },
{0,                  0,   0                    }
} ;

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  int verbose = 0 ;
  char buffer [1024] ;
  int unsigned const bufferSize = sizeof(buffer)/sizeof(buffer[0]) ;

  int            opt ;
  int            next = 0 ;
  mxArray const *optarg ;

  VL_USE_MATLAB_ENV ;

  if (nout > 1) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
    case opt_verbose :
      ++ verbose ;
      break ;
    default:
      abort() ;
    }
  }

  if (verbose) {
    int offset = 0 ;
    char * string = vl_configuration_to_string_copy() ;
    offset = vl_string_copy(buffer, bufferSize, string) ;
    snprintf(buffer + offset, bufferSize - offset,
             "    SIMD enabled: %s\n", VL_YESNO(vl_get_simd_enabled())) ;
    if(string) vl_free(string) ;
  } else {
    snprintf(buffer, sizeof(buffer)/sizeof(buffer[0]),
             "%s", VL_VERSION_STRING) ;
  }

  if (nout == 0) {
    mexPrintf("%s\n", buffer) ;
  } else {
    out[0] = mxCreateString(buffer) ;
  }
}
vlfeat-0.9.16/toolbox/misc/vl_version.m000066400000000000000000000007361203326130700200600ustar00rootroot00000000000000% VL_VERSION  Obtain VLFeat version information
%   VL_VERSION() prints VLFeat version number. VL_VERSION('VERBOSE')
%   prints additional information.
%
%   STR = VL_VERSION(...) returns the ouptut in a string rather than
%   printing it.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/misc/vl_whistc.m000066400000000000000000000022041203326130700176640ustar00rootroot00000000000000function h = vl_whistc(x, w, edges, dim)
% VL_WHISTC Weighted histogram
%   H = VL_WHISTC(X,W,EDGES) behaves exactly like HISTC(X,EDGES), but
%   weights the samples X by W. Samples that have NaN weight are
%   skipped.
%
%   See also: HITSC(), VL_HELP().

% Authors: Andrea Vedladi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

numEdges = numel(edges) ;

% map x to the bins defined by edges
binIndexes = vl_binsearch(edges, x) ;

% binsearch last bin is [edges(end) +inf] but for histc it is the
% signleton [edges(end)]
if numEdges > 0
  binIndexes(binIndexes == numEdges & x > edges(end)) = 0 ;
end

% NaNs must be also removed
binIndexes(isnan(x)) = 0 ;

% find operating dimension
dimensions = size(x) ;
if nargin < 4
  nonSingletonDims = find(dimensions > 1) ;
  if ~ isempty(nonSingletonDims)
    dim = nonSingletonDims(1) ;
  else
    dim = 2 ; % assume row vector
  end
end

% accumulate
dimensions(dim) = numEdges ;
h = zeros(dimensions) ;
h = vl_binsum(h, w, binIndexes, dim) ;
vlfeat-0.9.16/toolbox/misc/vl_xmkdir.m000066400000000000000000000044231203326130700176660ustar00rootroot00000000000000function vl_xmkdir(path, varargin)
% VL_XMKDIR  Create a directory recursively.
%   VL_XMKDIR(PATH) creates all directory specified by PATH if they
%   do not exist (existing directories are skipped).
%
%   The function is meant as a silent replacement of MATLAB's builtin
%   MKDIR() function. It can also be used to show more clearly what
%   directories are or would be created by the command.
%
%   The function accepts the following options:
%
%   Pretend:: false
%     If TRUE the function does not create any directoty (implies
%     'Verbose').
%
%   Verbose:: false
%     If TRUE the function prints the operations performed.
%
%   See also: VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.pretend = false ;
opts.verbose = false ;
opts = vl_argparse(opts,varargin) ;

opts.verbose = opts.verbose | opts.pretend ;

[subPath, name, ext] = fileparts(path) ;
name = [name ext] ;

% Paths are parsed as sequences of blocks
%
% ('/', 'DIR1/', 'DIR2/', ... , 'DIRK/') + DIRNAME
%
% So for example:
%
% ''    -> () + ''
% a     -> () + 'a'
% a/    -> ('a/') + ''
% a/b   -> ('a/') + 'b'
% a/b/  -> ('a/', 'b/') + ''
% /     -> ('/') + ''
% /a    -> ('/') + 'a'
% /a/   -> ('/', 'a/') + ''
% /a/b  -> ('/', 'a/') + 'b'
% /a/b/ -> ('/, 'a/', 'b/) + ''
%
% DIRNAME is empty if PATH ends with / and is correctly extracted in
% this way by FILEPARTS(). SUBDIR is always different from PATH except
% for the base cases PATH='/' or PATH='', for which the recursion
% stops.

if ~strcmp(subPath, path)
  vl_xmkdir(subPath, varargin{:}) ;
end

% name is empty if path = '*/'
if isempty(name)
  return ;
end

if opts.verbose
  fprintf('%s: directory ''%s'' in ''%s''', mfilename, name, subPath) ;
end

if ~exist(path, 'dir')
  if opts.pretend && opts.verbose
    fprintf(' does not exist, would create.\n') ;
  else
    [success,message,messageId] = mkdir(fullfile(subPath, name)) ;
    if opts.verbose
      fprintf(' did not exist, created.\n') ;
    end
  end
else
  if opts.verbose
    if opts.pretend
      fprintf(' exists, would not create.\n') ;
    else
      fprintf(' exists, not creating.\n') ;
    end
  end
end
vlfeat-0.9.16/toolbox/mser/000077500000000000000000000000001203326130700155215ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/mser/vl_erfill.c000066400000000000000000000130261203326130700176450ustar00rootroot00000000000000/* file:        erfill.mex.c
** description: Extremal Regions filling
** author:      Andrea Vedaldi
**/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file
 ** @brief Maximally Stable Extremal Regions - MEX implementation
 **/

#include 

#include 
#include 
#include 
#include 
#include 

#define MIN(x,y) (((x)<(y))?(x):(y))
#define MAX(x,y) (((x)>(y))?(x):(y))

typedef char unsigned val_t ;
typedef int           idx_t ;
typedef vl_uint64 acc_t ;

/* advance N-dimensional subscript */
void
adv(mwSize const* dims, int ndims, int* subs_pt)
{
  int d = 0 ;
  while(d < ndims) {
    if( ++subs_pt[d]  < (signed) dims[d] ) return ;
    subs_pt[d++] = 0 ;
  }
}

/* driver */
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{

  enum {IN_I=0, IN_ER} ;
  enum {OUT_MEMBERS} ;

  idx_t i ;
  int k, nel, ndims ;
  mwSize const * dims ;
  val_t const * I_pt ;
  int last = 0 ;
  int last_expanded = 0 ;
  val_t value = 0 ;

  double const * er_pt ;

  int*   subs_pt ;       /* N-dimensional subscript                 */
  int*   nsubs_pt ;      /* diff-subscript to point to neigh.       */
  idx_t* strides_pt ;    /* strides to move in image array          */
  val_t* visited_pt ;    /* flag                                    */
  idx_t* members_pt ;    /* region members                          */
  bool invert = VL_FALSE ;

  /** -----------------------------------------------------------------
   **                                               Check the arguments
   ** -------------------------------------------------------------- */
  if (nin != 2) {
    mexErrMsgTxt("Two arguments required.") ;
  } else if (nout > 4) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if(mxGetClassID(in[IN_I]) != mxUINT8_CLASS) {
    mexErrMsgTxt("I must be of class UINT8.") ;
  }

  if(!vlmxIsPlainScalar(in[IN_ER])) {
    mexErrMsgTxt("ER must be a DOUBLE scalar.") ;
  }

  /* get dimensions */
  nel   = mxGetNumberOfElements(in[IN_I]) ;
  ndims = mxGetNumberOfDimensions(in[IN_I]) ;
  dims  = mxGetDimensions(in[IN_I]) ;
  I_pt  = mxGetData(in[IN_I]) ;

  /* allocate stuff */
  subs_pt    = mxMalloc( sizeof(int)      * ndims ) ;
  nsubs_pt   = mxMalloc( sizeof(int)      * ndims ) ;
  strides_pt = mxMalloc( sizeof(idx_t)    * ndims ) ;
  visited_pt = mxMalloc( sizeof(val_t)    * nel   ) ;
  members_pt = mxMalloc( sizeof(idx_t)    * nel   ) ;

  er_pt = mxGetPr(in[IN_ER]) ;

  /* compute strides to move into the N-dimensional image array */
  strides_pt [0] = 1 ;
  for(k = 1 ; k < ndims ; ++k) {
    strides_pt [k] = strides_pt [k-1] * dims [k-1] ;
  }

  /* load first pixel */
  memset(visited_pt, 0, sizeof(val_t) * nel) ;
  {
    idx_t idx = (idx_t) *er_pt ;
    if (idx < 0) {
      idx = -idx;
      invert = VL_TRUE ;
    }
    if( idx < 1 || idx > nel ) {
      char buff[80] ;
      snprintf(buff,80,"ER=%d out of range [1,%d]",idx,nel) ;
      mexErrMsgTxt(buff) ;
    }
    members_pt [last++] = idx - 1 ;
  }
  value = I_pt[ members_pt[0] ]  ;

  /* -----------------------------------------------------------------
   *                                                       Fill region
   * -------------------------------------------------------------- */
  while(last_expanded < last) {

    /* pop next node xi */
    idx_t index = members_pt[last_expanded++] ;

    /* convert index into a subscript sub; also initialize nsubs
       to (-1,-1,...,-1) */
    {
      idx_t temp = index ;
      for(k = ndims-1 ; k >=0 ; --k) {
        nsubs_pt [k] = -1 ;
        subs_pt  [k] = temp / strides_pt [k] ;
        temp         = temp % strides_pt [k] ;
      }
    }

    /* process neighbors of xi */
    while(VL_TRUE) {
      int good = VL_TRUE ;
      idx_t nindex = 0 ;

      /* compute NSUBS+SUB, the correspoinding neighbor index NINDEX
         and check that the pixel is within image boundaries. */
      for(k = 0 ; k < ndims && good ; ++k) {
        int temp = nsubs_pt [k] + subs_pt [k] ;
        good &= 0 <= temp && temp < (signed) dims[k] ;
        nindex += temp * strides_pt [k] ;
      }

      /* process neighbor
         1 - the pixel is within image boundaries;
         2 - the pixel is indeed different from the current node
         (this happens when nsub=(0,0,...,0));
         3 - the pixel has value not greather than val
         is a pixel older than xi
         4 - the pixel has not been visited yet
      */
      if(good
         && nindex != index
         && ((!invert && I_pt [nindex] <= value) ||
             ( invert && I_pt [nindex] >= value))
         && ! visited_pt [nindex] ) {

        /* mark as visited */
        visited_pt [nindex] = 1 ;

        /* add to list */
        members_pt [last++] = nindex ;
      }

      /* move to next neighbor */
      k = 0 ;
      while(++ nsubs_pt [k] > 1) {
        nsubs_pt [k++] = -1 ;
        if(k == ndims) goto done_all_neighbors ;
      }
    } /* next neighbor */
  done_all_neighbors : ;
  } /* goto pop next member */

  /*
   * Save results
   */
  {
    mwSize dims[2] ;
    int unsigned * pt ;
    dims[0] = last ;
    out[OUT_MEMBERS] = mxCreateNumericArray(1,dims,mxUINT32_CLASS,mxREAL);
    pt = mxGetData(out[OUT_MEMBERS]) ;
    for (i = 0 ; i < last ; ++i) {
      *pt++ = members_pt[i] + 1 ;
    }
  }

  /* free stuff */
  mxFree( members_pt ) ;
  mxFree( visited_pt ) ;
  mxFree( strides_pt ) ;
  mxFree( nsubs_pt   ) ;
  mxFree( subs_pt    ) ;
}
vlfeat-0.9.16/toolbox/mser/vl_erfill.m000066400000000000000000000011341203326130700176540ustar00rootroot00000000000000% VL_ERFILL  Fill extremal region
%  MEMBERS=VL_ERFILL(I,ER) returns the list MEMBERS of the pixels which
%  belongs to the extremal region represented by the pixel ER.
%
%  The selected region is the one that contains pixel ER and of
%  intensity I(ER).
%
%  I must be of class UINT8 and ER must be a (scalar) index of the
%  region representative point.
%
%  See also: VL_MSER(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/mser/vl_ertr.m000066400000000000000000000007431203326130700173600ustar00rootroot00000000000000function f = vl_ertr(f) ;
% VL_ERTR  Transpose exremal regions frames
%  F = VL_ERTR(F) transposes the frames F as returned by VL_MSER(). This
%  conversion is required as the VL_MSER algorithm considers the column
%  index I as the frist image index, while according standard image
%  convention the first coordinate is the abscissa X.
%
%  See also: VL_MSER(), VL_HELP().

if size(f,1) ~= 5
  error('F is not in the right format') ;
end

% adjust convention
f = f([2 1 5 4 3],:) ;
vlfeat-0.9.16/toolbox/mser/vl_mser.c000066400000000000000000000223501203326130700173360ustar00rootroot00000000000000/** @file     mser.c
 ** @author   Andrea Vedaldi
 ** @brief    MSER MEX driver
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 
#include 

enum {
  opt_delta = 0,
  opt_max_area,
  opt_min_area,
  opt_max_variation,
  opt_min_diversity,
  opt_bright_on_dark,
  opt_dark_on_bright,
  opt_verbose
} ;

vlmxOption  options [] = {
  {"Delta",               1,   opt_delta          },
  {"MaxArea",             1,   opt_max_area       },
  {"MinArea",             1,   opt_min_area       },
  {"MaxVariation",        1,   opt_max_variation  },
  {"MinDiversity",        1,   opt_min_diversity  },
  {"BrightOnDark",        1,   opt_bright_on_dark },
  {"DarkOnBright",        1,   opt_dark_on_bright },
  {"Verbose",             0,   opt_verbose        },
  {0,                     0,   0                  }
} ;

/** @brief MEX entry point */
void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_I = 0,
        IN_END } ;
  enum {OUT_SEEDS = 0,
        OUT_FRAMES } ;

  int             verbose = 0 ;
  int             opt ;
  int             next = IN_END ;
  mxArray const  *optarg ;

  /* algorithm parameters */
  double   delta         = -1 ;
  double   max_area      = -1 ;
  double   min_area      = -1 ;
  double   max_variation = -1 ;
  double   min_diversity = -1 ;
  int      bright_on_dark = 1 ;
  int      dark_on_bright = 1 ;

  int nel ;
  int ndims ;
  mwSize const* dims ;

  vl_mser_pix const *data ;
  vl_mser_pix *datainv = 0;

  VlMserFilt        *filt, *filtinv ;
  vl_uint     const *regions = 0 ;
  vl_uint     const *regionsinv = 0 ;
  float       const *frames = 0;
  float       const *framesinv = 0 ;
  int nregions = 0, nregionsinv = 0;
  int nframes = 0, nframesinv = 0;
  int                i, j, dof = 0 ;
  mwSize             odims [2] ;
  double            *pt ;

  VL_USE_MATLAB_ENV ;

  /** -----------------------------------------------------------------
   **                                               Check the arguments
   ** -------------------------------------------------------------- */

  if (nin < 1) {
    mexErrMsgTxt("At least one input argument is required.") ;
  }

  if (nout > 2) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if(mxGetClassID(in[IN_I]) != mxUINT8_CLASS) {
    mexErrMsgTxt("I must be of class UINT8") ;
  }

  /* get dimensions */
  nel   = mxGetNumberOfElements(in[IN_I]) ;
  ndims = mxGetNumberOfDimensions(in[IN_I]) ;
  dims  = mxGetDimensions(in[IN_I]) ;
  data  = mxGetData(in[IN_I]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {

    case opt_verbose :
      ++ verbose ;
      break ;

    case opt_delta :
      if (!vlmxIsPlainScalar(optarg) || (delta = *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'Delta' must be non-negative.") ;
      }
      break ;

    case opt_max_area :
      if (!vlmxIsPlainScalar(optarg)            ||
          (max_area = *mxGetPr(optarg)) < 0 ||
          max_area > 1) {
        mexErrMsgTxt("'MaxArea' must be in the range [0,1].") ;
      }
      break ;

    case opt_min_area :
      if (!vlmxIsPlainScalar(optarg)            ||
          (min_area = *mxGetPr(optarg)) < 0 ||
          min_area > 1) {
        mexErrMsgTxt("'MinArea' must be in the range [0,1].") ;
      }
      break ;

    case opt_max_variation :
      if (!vlmxIsPlainScalar(optarg)           ||
          (max_variation = *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'MaxVariation' must be non negative.") ;
      }
      break ;

    case opt_min_diversity :
      if (!vlmxIsPlainScalar(optarg)                 ||
          (min_diversity = *mxGetPr(optarg)) < 0 ||
           min_diversity > 1.0) {
        mexErrMsgTxt("'MinDiversity' must be in the [0,1] range.") ;
      }
      break ;

    case opt_bright_on_dark :
      if (!vlmxIsPlainScalar(optarg)                 ||
          ((bright_on_dark = *mxGetPr(optarg)) != 0 &&
           bright_on_dark != 1)) {
        mexErrMsgTxt("'BrightOnDark' must be in 0 or 1.") ;
      }
      break ;

    case opt_dark_on_bright :
      if (!vlmxIsPlainScalar(optarg)                 ||
          ((dark_on_bright = *mxGetPr(optarg)) != 0 &&
           dark_on_bright != 1)) {
        mexErrMsgTxt("'DarkOnBright' must be in 0 or 1.") ;
      }
      break ;

    default :
        abort() ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                     Run algorithm
   * -------------------------------------------------------------- */

  /* new filter */
  {
    int * vlDims = mxMalloc(sizeof(int) * ndims) ;
    for (i = 0 ; i < ndims ; ++i) vlDims [i] = dims [i] ;
    filt = vl_mser_new (ndims, vlDims) ;
    filtinv = vl_mser_new (ndims, vlDims) ;
    mxFree(vlDims) ;
  }
  if (!filt || !filtinv) {
    mexErrMsgTxt("Could not create an MSER filter.") ;
  }

  if (delta         >= 0) vl_mser_set_delta          (filt, (vl_mser_pix) delta) ;
  if (max_area      >= 0) vl_mser_set_max_area       (filt, max_area) ;
  if (min_area      >= 0) vl_mser_set_min_area       (filt, min_area) ;
  if (max_variation >= 0) vl_mser_set_max_variation  (filt, max_variation) ;
  if (min_diversity >= 0) vl_mser_set_min_diversity  (filt, min_diversity) ;
  if (delta         >= 0) vl_mser_set_delta          (filtinv, (vl_mser_pix) delta) ;
  if (max_area      >= 0) vl_mser_set_max_area       (filtinv, max_area) ;
  if (min_area      >= 0) vl_mser_set_min_area       (filtinv, min_area) ;
  if (max_variation >= 0) vl_mser_set_max_variation  (filtinv, max_variation) ;
  if (min_diversity >= 0) vl_mser_set_min_diversity  (filtinv, min_diversity) ;

  if (verbose) {
    mexPrintf("mser: parameters:\n") ;
    mexPrintf("mser:   delta         = %d\n", vl_mser_get_delta         (filt)) ;
    mexPrintf("mser:   max_area      = %g\n", vl_mser_get_max_area      (filt)) ;
    mexPrintf("mser:   min_area      = %g\n", vl_mser_get_min_area      (filt)) ;
    mexPrintf("mser:   max_variation = %g\n", vl_mser_get_max_variation (filt)) ;
    mexPrintf("mser:   min_diversity = %g\n", vl_mser_get_min_diversity (filt)) ;
  }


  if (dark_on_bright)
  {
    /* process the image */
    vl_mser_process (filt, data) ;

    /* save regions back to array */
    nregions         = vl_mser_get_regions_num (filt) ;
    regions          = vl_mser_get_regions     (filt) ;

    if (nout > 1) {
      vl_mser_ell_fit (filt) ;

      dof     = vl_mser_get_ell_dof (filt) ;
      nframes = vl_mser_get_ell_num (filt) ;
      frames  = vl_mser_get_ell     (filt) ;
    }
  }

  if (bright_on_dark)
  {
    datainv = mxMalloc(sizeof(vl_uint)*nel) ;
    for(i=0; i 1) {
      vl_mser_ell_fit (filtinv) ;

      dof        = vl_mser_get_ell_dof (filtinv) ;
      nframesinv = vl_mser_get_ell_num (filtinv) ;
      framesinv  = vl_mser_get_ell     (filtinv) ;
    }
  }

  odims [0]        = nregions + nregionsinv ;
  out [OUT_SEEDS] = mxCreateNumericArray (1, odims, mxDOUBLE_CLASS,mxREAL) ;
  pt               = mxGetPr (out [OUT_SEEDS]) ;

  for (i = 0 ; i < nregions ; ++i)
    pt [i] = (int)regions [i] + 1 ;

  for (i = nregions; i < nregions + nregionsinv; ++i)
    pt [i] = -((int)regionsinv [i-nregions] + 1) ; /* Inverted seed means dark on bright */

  /* optionally compute and save ellipsoids */
  if (nout > 1) {

    odims [0] = dof ;
    odims [1] = nframes + nframesinv;

    out [OUT_FRAMES] = mxCreateNumericArray (2, odims, mxDOUBLE_CLASS, mxREAL) ;
    pt               = mxGetPr (out [OUT_FRAMES]) ;

    for (i = 0 ; i < nframes ; ++i) {
      for (j = 0 ; j < dof ; ++j) {
        pt [i * dof + j] = frames [i * dof + j] + ((j < ndims)?1.0:0.0) ;
      }
    }

    for (i = nframes ; i < nframes + nframesinv ; ++i) {
      for (j = 0 ; j < dof ; ++j) {
        pt [i * dof + j] = framesinv [(i-nframes) * dof + j] + ((j < ndims)?1.0:0.0) ;
      }
    }
  }

  if (verbose) {
    VlMserStats const* s = vl_mser_get_stats (filt) ;
    VlMserStats const* sinv = vl_mser_get_stats (filtinv) ;
    int tot = s-> num_extremal + sinv-> num_extremal ;

    mexPrintf("mser: statistics:\n") ;
    mexPrintf("mser: %d extremal regions of which\n", tot) ;

#define REMAIN(test,num)                                                \
    mexPrintf("mser:  %5d (%7.3g %% of previous) " test "\n",         \
              tot-(num),100.0*(double)(tot-(num))/(tot+VL_EPSILON_D)) ; \
    tot -= (num) ;

    REMAIN("maximally stable,", s-> num_unstable + sinv-> num_unstable ) ;
    REMAIN("stable enough,",    s-> num_abs_unstable  + sinv-> num_abs_unstable ) ;
    REMAIN("small enough,",     s-> num_too_big  + sinv->num_too_big ) ;
    REMAIN("big enough,",       s-> num_too_small + sinv->num_too_small  ) ;
    REMAIN("diverse enough.",   s-> num_duplicates + sinv->num_duplicates ) ;

  }

  /* cleanup */
  if (datainv) mxFree(datainv);
  vl_mser_delete (filt) ;
  vl_mser_delete (filtinv) ;
}
vlfeat-0.9.16/toolbox/mser/vl_mser.m000066400000000000000000000055401203326130700173520ustar00rootroot00000000000000% VL_MSER  Maximally Stable Extremal Regions
%   R=VL_MSER(I) computes the Maximally Stable Extremal Regions (MSER)
%   [1] of image I with stability threshold DELTA. I is any array of
%   class UINT8. R is a vector of region seeds.
%
%   A (maximally stable) extremal region is just a connected component
%   of one of the level sets of the image I.  An extremal region can
%   be recovered from a seed X as the connected component of the level
%   set {Y: I(Y) <= I(X)} which contains the pixel o index X.
%
%   The function supports images of arbitrary dimension D.
%
%   [R,F]=VL_MSER(...) also returns ellipsoids F fitted to the regions.
%   Each column of F describes an ellipsoid; F(1:D,i) is the center of
%   the elliposid and F(D:end,i) are the independent elements of the
%   co-variance matrix of the ellipsoid.
%
%   Ellipsoids are computed according to the same reference frame of I
%   seen as a matrix. This means that the first coordinate spans the
%   first dimension of I.
%
%   Notice that for 2-D images usually the opposite convention is used
%   (i.e. the first coordinate is the x-axis, which corresponds to the
%   column index). Thus, if the function VL_PLOTFRAME() is used to plot
%   the ellipses, the frames F should be `transposed' as in F = F([2
%   1 5 4 3],:). VL_ERTR() exists for this purpose.
%
%   VL_MSER(I,'Option'[,Value]...) accepts the following options
%
%   Delta:: [5]
%       Set the DELTA parameter of the VL_MSER algorithm. Roughly
%       speaking, the stability of a region is the relative variation
%       of the region area when the intensity is changed of +/-
%       Delta/2.
%
%   MaxArea:: [0.75]
%       Set the maximum area (volume) of the regions relative to
%       the image domain area (volume).
%
%   MinArea:: [3 / numPixels]
%       Set the minimum area (volume) of the regions relative to
%       the image domain area (volume).
%
%   MaxVariation:: [0.25]
%       Set the maximum variation (absolute stability score) of the
%       regions.
%
%   MinDiversity:: [0.2]
%       Set the minimum diversity of the region. When the relative
%       area variation of two nested regions is below this threshold,
%       then only the most stable one is selected.
%
%   BrightOnDark:: [1]
%       Detect bright-on-dark MSERs. This corresponds to MSERs of the
%       inverted image.
%
%   DarkOnBright:: [1]
%       Detect dark-on-bright MSERs. This corresponds to MSERs of the
%       original image.
%
%   Verbose::
%       Be verbose.
%
%   REFERENCES::
%     [1] J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust wide
%     baseline stereo from maximally stable extremal regions," in
%     Proc. BMVC, 2002.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/noprefix/000077500000000000000000000000001203326130700164055ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/noprefix/aib.m000066400000000000000000000057501203326130700173250ustar00rootroot00000000000000function varargout = aib(varargin)
% VL_AIB  Agglomerative Information Bottleneck
%   PARENTS = VL_AIB(PCX) runs Agglomerative Information Bottleneck
%   (AIB) on the class-feature co-occurrence matrix PCX and returns a
%   vector PARENTS representing the sequence of compressed AIB
%   alphabets.
%
%   PCX is the joint probability of the occurrence of the class label
%   C and the feature value X. PCX has one row for each class label
%   and one column for each feature value, non negative entires and
%   sums to one. AIB iteratively merges the pair of feature values
%   that decreases the mutual information I(X,C) the least. This
%   compresses the alphabet of the discrete random variable X in such
%   a way that the new variable is still informative about C.
%
%   Merge operations are represented by a binary tree. The nodes of
%   the tree correspond to the original feature values and any other
%   value obtained by merging.
%
%   The vector PARENTS represents the merge tree. The nodes are
%   numbered in breadth-first order, starting from the leaves. The
%   numbers associated to the tree leaves correspond to the original
%   feature values (so the first leaf has number one and correspond to
%   the first feature value).  In total there are 2*M-1 nodes, where M
%   is the number of feature values (the number of columns of
%   PCX). The internal nodes are numbered according to the order in
%   which AIB generates them. It is therefore possible to recover from
%   the tree the state of the AIB algorithm at each step (see also
%   VL_AIBCUT()). PARENTS is a UINT32 array with one element for each
%   tree node storing the index of the parent node. The root parent is
%   conventionally set to 1.
%
%   Feature values with null probability (null columns of the PCX
%   matrix) are ignored by the AIB algorithm and the corresponding
%   entries in the PARENTS vectors are set to zero. Notice that this
%   causes the root of the tree to have index smaller of 2*M-1
%   (PARENTS has still 2*M-1 entries, but the last portion is
%   zero-padded).
%
%   Alternatively, the option ClusterNull can be used to assign the
%   null probability values to a special value. The result is similar
%   to pretending that the null probability nodes have indeed very
%   small probability, uniform across categories.
%
%   [PARENTS, COST] = VL_AIB(...) returns the values COST of the cost
%   function being optimized by AIB (i.e. the mutual information
%   I(X,C)). COST has M column. The first column is the initial value
%   of the cost function. The others correspond to the cost after each
%   of the M-1 merges. If less than M-1 merges are performed, the rest
%   of the vector is filled with NaNs.
%
%   VL_AIB() accepts the following options:
%
%   Verbose::
%     If specified, increase verbosity level.
%
%   ClusterNull::
%     If specified, do not signal null nodes; instead cluster them.
%
%   See also: VL_AIBCUT(), VL_AIBHIST(), VL_AIBCUTHIST(),
%   VL_AIBCUTPUSH(), VL_HELP().
[varargout{1:nargout}] = vl_aib(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/aibcut.m000066400000000000000000000027571203326130700200450ustar00rootroot00000000000000function varargout = aibcut(varargin)
% VL_AIBCUT  Cut VL_AIB tree
%  CUT = VL_AIBCUT(PARENTS, N) cuts the binary merge tree PARENTS and
%  returns a cut CUT of N nodes. The format of PARENTS is the same
%  used by the VL_AIB() function.
%
%  A cut is a set of N nodes such that no node is a descendant of any
%  other node in the cut and such that all leaves descend from a node
%  in the cut. The vector CUT lists the nodes of the binary merge tree
%  PARENT that form the cut.
%
%  Nodes with null parent (as defined by PARENTS) are included in the
%  cut if the other nodes are not enough to fill a cut of N elements.
%
%  [CUT, MAP] = VL_AIBCUT(...) returns a vector MAP with the same size
%  as PARENTS. MAP assigns each node below or in the cut to the
%  corresponding element in the CUT vector (each element above the cut
%  or with null parent is mapped to 0). To get the index of the
%  corresponding cut nodes use CUT(MAP). MAP can be used to quantize
%  the leaves in a sequences of N contiguous indexes, starting from
%  one (see also VL_AIBCUTPUSH()).
%
%  [CUT, MAP, SHORT] = VL_AIBCUT(...) returns also a vector SHORT that
%  represents a version of the PARENTS tree where nodes below the cut
%  are short-circuitied to link to the corresponding cut ancestors
%  directly. Null parents are left unchanged, except if the
%  corresponding node is in the cut (in which case the map-to-itself
%  rule has the precedence).
%
%  See also: VL_HELP(), VL_AIB().
[varargout{1:nargout}] = vl_aibcut(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/aibcuthist.m000066400000000000000000000015201203326130700207200ustar00rootroot00000000000000function varargout = aibcuthist(varargin)
% VL_AIBCUTHIST Compute a histogram by using an AIB compressed alphabet
%  HIST = VL_AIBCUTHIST(MAP, X) computes the histogram of the data X
%  using the compressed alphabet specified by a cut MAP of the AIB
%  tree (as returned by VL_AIBCUT()). Each element of HIST counts how
%  many elements of X are projected to the corresponding cut node
%  (encoding the compressed alphabet).
%
%  Data are mapped to bins as specified by VL_AIBCUTPUSH(). Data mapped
%  to the null node are dropped.
%
%  VL_AIBCUTHIST() accepts the following options:
%
%  Nulls:: [drop]
%    What to do of null nodes: drop ('drop'), accumulate to an
%    extra bin at the end of HIST ('append'), or accumulate to
%    the first bin ('first')
%
%  See also: VL_AIB(), VL_HELP().
[varargout{1:nargout}] = vl_aibcuthist(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/aibcutpush.m000066400000000000000000000004751203326130700207400ustar00rootroot00000000000000function varargout = aibcutpush(varargin)
% VL_AIBCUTPUSH  Quantize based on VL_AIB cut
%  Y = VL_AIBCUTPUSH(MAP, X) maps the data X to elements of the AIB
%  cut specified by MAP.
%
%  The function is equivalent to Y = MAP(X).
%
%  See also: VL_HELP(), VL_AIB().
[varargout{1:nargout}] = vl_aibcutpush(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/aibhist.m000066400000000000000000000013151203326130700202060ustar00rootroot00000000000000function varargout = aibhist(varargin)
% VL_AIBHIST  Compute histogram over VL_AIB tree
%  H = VL_AIBHIST(PARENTS, DATA) computes the histogram of the data
%  points DATA on the VL_AIB tree defined by PARENTS. Each element of
%  DATA indexes one of the leaves of the VL_AIB tree.
%
%  H = VL_AIBHIST(PARENTS, DATA, 'HIST') treats DATA as an histograms.
%  In this case each compoment of DATA is the number of occurences of
%  the VL_AIB leaves corresponding to that component.
%
%  H has the same dimension of parents and counts how many data points
%  are descendent of the corresponding node of the VL_AIB tree.
%
%  See also: VL_HELP(), VL_AIB(), VL_AIBCUTPUSH().
[varargout{1:nargout}] = vl_aibhist(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/alldist2.m000066400000000000000000000041431203326130700203030ustar00rootroot00000000000000function varargout = alldist2(varargin)
% VL_ALLDIST2  Pairwise distances
%  D = VL_ALLDIST2(X,Y) returns the pairwise distance matrix D of the
%  columns of S1 and S2, yielding
%
%    D(i,j) = sum (X(:,i) - Y(:,j)).^2
%
%  VL_ALLDIST2(X) returns the pairwise distance matrix fo the columns of
%  S, yielding
%
%    D(i,j) = sum (X(:,i) - X(:,j)).^2
%
%  VL_ALLDIST2(...,'METRIC') changes the computed distance. Supported
%  values for METRIC are
%
%   METRIC  D(i,j)
%   --------------------------------------------------------
%    LINF   max |X  - Y|
%    L2     sum (X  - Y).^2
%    L1     sum |X  - Y|
%    L0     sum (X ~= Y)
%    CHI2   sum (X  - Y).^2 ./ (X + Y)
%    HELL   sum (X^.5 - Y^.5) .^ 2
%
%  (Notice that the standard definition of chi2 is half of what is
%  computed here).
%
%  VL_ALLDIST2(...,'KERNEL') computes the following 'kernels' K:
%
%   KERNEL  K(i,j)
%   ---------------------------------------------------------
%    KL2    sum X .* Y
%    KL1    sum min (X, Y)
%    KCHI2  2 * sum (X .* Y) ./ (X + Y)
%    KHELL  (X .* Y) .^ 0.5
%
%  The constant are chosen so that D(i,j) = K(i,i) + K(j,j) - 2 K(i,j)
%  where D is the metric corresponding to the kenrel (if the arguments
%  are non-negative vectors). Each kernel can be interpreted as the
%  inner product inducing the corresponding metric in an embedding of
%  the real space into an approrpiate reproducing Kenrel Hilbert
%  space.
%
%  VL_ALLDIST2() supports several storage classes. X and Y must have the
%  same storage class. The sotrage class of D is promoted to reduce
%  the chance of overvlow, but this is not checked.
%
%    X & Y class      D class
%   ---------------------------
%    UINT8            UINT32
%     INT8             INT32
%    UINT16           UINT32
%     INT16            INT32
%    UINT32           UINT32
%     INT32            INT32
%    SINGLE           SINGLE
%    DOUBLE           DOUBLE
%
%  Warning: Both chi2 and kchi2 use integer math when presented with
%  integer data types. This can easily result in zeros where you did
%  not expect them.
%
%  See also: VL_HELP().
[varargout{1:nargout}] = vl_alldist2(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/alphanum.m000066400000000000000000000015471203326130700203770ustar00rootroot00000000000000function varargout = alphanum(varargin)
% VL_ALPHANUM  Sort strings using the Alphanum algorithm
%   STRINGS = VL_ALPHANUM(STRINGS) sorts the cell array of strings
%   STRINGS by using the Alphanum algorithm [1]. [STRINGS,PERM] =
%   VL_ALPHANUM(...) returns the corresponding permutation PERM as
%   well.
%
%   Example::
%     Alphanum sorts strings in a way that 'makes sense'. For instance
%
%      strings = {'B1', 'B2', 'B12', 'A12', 'A1', 'A2'} ;
%      sorted = vl_alphanum(strings) ;
%
%     produces the sorted array {'A1', 'A2', 'A12', 'B1', B2',
%     'B12'}. By contrast, SORT() produces the array {'A1', 'A12',
%     'A2', 'B1', B12', 'B2'} (note the position of the elements
%     'A12', 'B12').
%
%   References:
%   [1] Dave Koelle, 'The Alphanum Algorithm',
%   http://www.davekoelle.com/alphanum.html
[varargout{1:nargout}] = vl_alphanum(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/argparse.m000066400000000000000000000020731203326130700203710ustar00rootroot00000000000000function varargout = argparse(varargin)
% VL_ARGPARSE  Parse list of parameter-value pairs
%   CONF = VL_ARGPARSE(CONF, ARGS) updates the structure CONF based on
%   the specified parameter-value pairs ARGS={PAR1, VAL1, ... PARN,
%   VALN}. The function produces an error if an unknown parameter name
%   is passed in.
%
%   [CONF, ARGS] = VL_ARGPARSE(CONF, ARGS) copies any parameter in
%   ARGS that does not match CONF back to ARGS instead of producing an
%   error.
%
%   Example::
%     The function can be used to parse a list of arguments
%     passed to a MATLAB functions:
%
%       function myFunction(x,y,z,varargin)
%       conf.parameterName = defaultValue ;
%       conf = vl_argparse(conf, varargin)
%
%     If only a subset of the options should be parsed, for example
%     because the other options are interpreted by a subroutine, then
%     use the form
%
%      [conf, varargin] = vl_argparse(conf, varargin)
%
%     that copies back to VARARGIN any unknown parameter.
%
%   See also: VL_OVERRIDE(), VL_HELP().
[varargout{1:nargout}] = vl_argparse(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/assert_almost_equal.m000066400000000000000000000001611203326130700226300ustar00rootroot00000000000000function varargout = assert_almost_equal(varargin)
[varargout{1:nargout}] = vl_assert_almost_equal(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/assert_equal.m000066400000000000000000000001431203326130700212510ustar00rootroot00000000000000function varargout = assert_equal(varargin)
[varargout{1:nargout}] = vl_assert_equal(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/assert_exception.m000066400000000000000000000002011203326130700221330ustar00rootroot00000000000000function varargout = assert_exception(varargin)
% VL_ASSERT_EXCEPTION
[varargout{1:nargout}] = vl_assert_exception(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/binsearch.m000066400000000000000000000013251203326130700205220ustar00rootroot00000000000000function varargout = binsearch(varargin)
% VL_BINSEARCH  Maps data to bins
%   IDX = VL_BINSEARCH(B, X) maps the elements of X to the bins
%   defined by B. B is a non-decreasing vector of M real numbers
%   defining bins [-inf, B(1)), [B(1), B(2)), ... [B(M) +inf] (note
%   that the last bin contains +inf). The bins are numbered from 0 to
%   M. X is a real (plain) array and IDX is an array with the same
%   dimensions of X, specifying the bin correpsonding to each element
%   of X.
%
%   If B(1) = -inf the bin number 0 is removed and the bin number 1 is
%   [-inf B(2)). If B(M) = +inf, the last bin M is the singleton +inf.
%
%   See also: VL_BINSUM(), VL_HELP().
[varargout{1:nargout}] = vl_binsearch(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/binsum.m000066400000000000000000000033101203326130700200550ustar00rootroot00000000000000function varargout = binsum(varargin)
% VL_BINSUM  Binned summation
%   ACCUMULATOR = VL_BINSUM(ACCUMULATOR,VALUES,INDEXES) adds the
%   elements of the array VALUES to the elements of the array
%   ACCUMULATOR indexed by INDEXES. VALUES and INDEXES must have the
%   same dimensions, and the elements of INDEXES must be valid indexes
%   for the array ACCUMULATOR (except for null indexes, which are
%   silently skipped). An application is the calculation of a
%   histogram ACCUMULATOR, where INDEXES are the bin occurences and
%   VALUES are the occurence weights.
%
%   VL_BINSUM(...,DIM) operates only along the specified dimension
%   DIM. In this case, ACCUMULATOR, VALUES and INDEXES are array of
%   the same dimensions, except for the dimension DIM of ACCUMULATOR,
%   which may differ, and INDEXES is an array of subscripts of the
%   DIM-th dimension of ACCUMULATOR. A typical application is the
%   calculation of multiple histograms, where each histogram is a
%   1-dimensional slice of the array ACCUMULATOR along the dimension
%   DIM.
%
%   VALUES can also be a scalar. In this case, the value of VALUES is
%   summed to all the specified bins.
%
%   ACCUMULATOR and VALUES must have the same storage
%   class. ACCUMULATOR, VALUES, and INDEXES can be either DOUBLE,
%   SINGLE, UINT64, INT64, UINT32, INT32, UINT16, INT16, UINT8,
%   INT8. Integer math uses modulo-2 arithmetic (most MATLAB functions
%   saturate instead).
%
%   Example::
%     The following relations illustrate VL_BINSUM() behavior:
%       VL_BINSUM([0 0],  1, 2) = [0 1]
%       VL_BINSUM([1 7], -1, 1) = [0 7]
%       VL_BINSUM(EYE(3), [1 1 1], [1 2 3], 1) = 2*EYE(3)
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_binsum(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/cf.m000066400000000000000000000005031203326130700171510ustar00rootroot00000000000000function varargout = cf(varargin)
% VL_CF Creates a copy of a figure
%   VL_CF() creates a copy of the current figure and returns VL_CF(H0)
%   creates a copy of the figure(s) whose handle is H0.  H =
%   VL_CF(...) returns the handles of the copies.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_cf(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/click.m000066400000000000000000000014321203326130700176500ustar00rootroot00000000000000function varargout = click(varargin)
% VL_CLICK  Click a point
%  P=VL_CLICK() let the user click a point in the current figure and
%  returns its coordinates in P. P is a two dimensiona vectors where
%  P(1) is the point X-coordinate and P(2) the point Y-coordinate. The
%  user can abort the operation by pressing any key, in which case the
%  empty matrix is returned.
%
%  P=VL_CLICK(N) lets the user select N points in a row. The user can
%  stop inserting points by pressing any key, in which case the
%  partial list is returned.
%
%  VL_CLICK() accepts the following options:
%
%  PlotMarker:: [0]
%    Plot a marker as points are selected. The markers are deleted on
%    exiting the function.
%
%  See also: VL_CLICKPOINT(), VL_HELP().
[varargout{1:nargout}] = vl_click(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/clickpoint.m000066400000000000000000000016671203326130700207340ustar00rootroot00000000000000function varargout = clickpoint(varargin)
% VL_CLICKPOINT  Select a point by clicking
%   SEL = VL_CLICKPOINT(V) let the user vl_click a point in the current
%   figure and returns the index v of the closest point (in Euclidean
%   norm) in the collection V. The 2xK matrix V has a a column for
%   each point.
%
%   The user can abort the operation by pressing any key. In this case
%   the function returns the empty matrix.
%
%   VL_CLICKPOINT(V,N) selects N points in a row. The user can stop the
%   selection at any time by pressing any key. In this case the
%   partial selection is returned. This can be used in combination
%   with N=inf to get an arbitrary number of points.
%
%   VL_CLICKPOINT() accepts the following options:
%
%   PlotMarker:: [0]
%     Put a marker as points are selected. The markers are deleted on
%     exiting the function.
%
%   See also: VL_CLICK(), VL_HELP().
[varargout{1:nargout}] = vl_clickpoint(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/clicksegment.m000066400000000000000000000007101203326130700212310ustar00rootroot00000000000000function varargout = clicksegment(varargin)
% VL_CLICKSEGMENT  Select a segment by clicking
%  [P1,P2] = VL_CLICKSEGMENT() lets the user select a segment in the
%  current figure and returns the starting and ending point P1 and P2.
%
%  The user can abort the operation by pressing any key. In this case
%  the function returns the empty matrix.
%
%  See also: VL_CLICK(), VL_CLICKPOINT(), VL_HELP().
[varargout{1:nargout}] = vl_clicksegment(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/colsubset.m000066400000000000000000000020701203326130700205650ustar00rootroot00000000000000function varargout = colsubset(varargin)
% VL_COLSUBSET Select a given number of columns
%   Y = VL_COLSUBSET(X, N) returns a random subset Y of N columns of
%   X. The selection is order-preserving and without replacement. If N
%   is larger or equal to the number of columns of X (e.g. N = Inf),
%   then the function returns all the columns (i.e., Y = X).
%
%   If 0 < N < 1, then the function returns a fraction N of the
%   columns (rounded to the closest integer).
%
%   [Y, SEL] = VL_COLSUBSET(...) returns the indexes SEL of the
%   selected columns.
%
%   The function accepts the following options:
%
%   Beginning::
%     Returns the fist N columns.
%
%   Ending::
%     Returns the last N columns.
%
%   Random:: [default]
%     Returns N columns selected at random (using RANDPERM()).
%
%   Uniform::
%     Returns N uniformly spaced columns.
%
%   Largest::
%     Returns the N largest columns (using SORTROWS()).
%
%   Smallest::
%     Returns the N smallest columns (using SORTROWS()).
%
%  See also: VL_HELP().
[varargout{1:nargout}] = vl_colsubset(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/covdet.m000066400000000000000000000131171203326130700200520ustar00rootroot00000000000000function varargout = covdet(varargin)
% VL_COVDET  Covariant feature detectors and descriptors
%   VL_COVDET() implements a number of co-variant feature detectors
%   (e.g., DoG, Harris-Affine, Harris-Laplace) and allow to compute
%   corresponding feature descriptors (SIFT, raw patches).
%
%   F = VL_COVDET(I) detects upright scale and translation covariant
%   features based on the Difference of Gaussian (Dog) cornerness
%   measure from image I (a grayscale image of class SINGLE). F is in
%   the format of oriented ellipse feature frames (see VL_PLOTFRAME()
%   for the definition) even if features are only scale-invariant
%   (discs or oriented discs).
%
%   VL_COVDET(I, 'Method', METHOD) allows using one of the
%   following methods instead:
%
%   DoG::
%     The Difference of Gaussians is an approximate version of the
%     multiscale trace of Laplacian operator [1].
%
%   Hessian::
%     Determinant Hessian operator [2].
%
%   HessianLaplace::
%     Determinant of Hessian for space localisation, trace of
%     Laplacian for scale detection [2].
%
%   HarrisLaplace::
%     Harris cornerness measure for space localisation, trace
%     of Laplacian for scale detection [2].
%
%   MultiscaleHessian::
%     Same as HessianLaplace, but Laplacian scale detection is not
%     performend (features are simply detected at multiple scales) [2].
%
%   MultiscaleHarris::
%     Same as HarrisLaplace, but Laplacian scale detection is not
%     performend (features are simply detected at multiple scales) [2].
%
%   The number of detected features is affected by the
%   'PeakThreshold', which sets the minimum absolute vale of the
%   cornerness measure to accept a feature. A larger threshold select
%   fewer features. To adjust the threshold, the score of the detected
%   features can be obtained in the INFO structure (see later).
%
%   Features can also be filtered by setting the 'EdgeThreshold'
%   parameters, which sets an upper bound on the ratio of the maxium
%   over the minium curvature of the cornerness measure at the
%   detected location. The idea is that unbalanced curvatures
%   correspond to features detected along image edges, and should
%   therefore be discarded as spatially unstable.
%
%   VL_COVDET(..., 'EstimateAffineShape', true) switches on affine
%   adaptation, which attempts to estimate the affine co-variant shape
%   of each feature based on the algorihtm of [2].
%
%   VL_COVDET(..., 'EstimateOrientations', true) switches on the
%   estimation of the orientation of features (which are therefore not
%   upright anymore) []. Note that more than one orientation can be
%   associated to each feature, creating copies of them.
%
%   VL_COVDET(..., 'Frames', F) allows to specify user defined frames
%   F. This skips detection, but estimating the affine shape or the
%   orietnations can still be applied. Moreover, descriptors for these
%   frames can be computed.
%
%   [F,D] = VL_COVDET(I, ...) computes the SIFT descriptors [1] for
%   the detected features. Each column of D is the descriptor of the
%   corresponding frame in F. A descriptor is a 128-dimensional vector
%   of class SINGLE. The same format of VL_SIFT() is used. SIFT
%   features are computed on normalised image patches that are
%   affected by the parameters explained next (for example, to comptue
%   SIFT on a larger measurement reagion, increase the value of
%   PatchRelativeExtent.
%
%   [F,D] = VL_COVDET(I, 'descriptor', 'patch') can be used to extract
%   raw patches instead of SIFT descriptors. In this case, each column
%   of D is a stacked square image patch. The following parameters
%   can be used to control the produced patches:
%
%   PatchResolution:: 15
%     The size of the patch R in pixel. Specifically, the patch is a
%     square of side 2*R+1 pixels.
%
%   PatchRelativeExtent:: 7.5
%     The extent E of the patch in the feature frame. A feature F
%     define a mapping from the feature reference frame to the image
%     reference frame as an affine transformation A,T (see
%     VL_PLOTFRAME()). The patch is a square [-E, E]^2 in this frame
%     (transform this square by A,T to find the extent in the image).
%
%   PatchRelativeSigma: 1.0
%     The smoothing SIGMA of the patch in the patch frame. The
%     computed patch can be thought as being obtained by first
%     warping the image (as a continous signal) by A,T, then
%     smoothing the results by SIGMA, and then sampling.
%
%   [F,D,INFO] = VL_COVDET(...) returns an additiona structure INFO
%   with the following members:
%
%   info.peakScores::
%     The peak scores of the detected features.
%
%   info.edgeScores::
%     The edge scores of the detected features.
%
%   info.gss::
%     The Gaussian scale space (see VL_PLOTSS()).
%
%   info.css::
%     The cornerness measure scale space (see VL_PLOTSS()).
%
%   The function supports the following options:
%
%   OctaveResolution:: 3
%     The number of scale levels sampled per octave when constructing
%     the scale spaces.
%
%   DoubleImage:: true
%     Whether to double the image before extracting features. This
%     allows to detect features at a smoothing level of 0.5 and up
%     rathern than 1.0 and up, resulting in many more small
%     features being detected.
%
%   Verbose::
%     If specified, it incerases the verbosity level.
%
%   REFERENCES::
%   [1] D. G. Lowe, Distinctive image features from scale-invariant
%   keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.
%
%   [2] K. Mikolajcyk and C. Schmid, An affine invariant interest
%   point detector. ICCV, vol. 2350, pp. 128-142, 2002.
%
%   See also: VL_SIFT(), VL_PLOTFRAME(), VL_PLOTSS(), VL_HELP().
[varargout{1:nargout}] = vl_covdet(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/cummax.m000066400000000000000000000013611203326130700200560ustar00rootroot00000000000000function varargout = cummax(varargin)
% VL_CUMMAX  Cumulative maximum
%   If X is a vector, VL_CUMMAX(X) is the vector with the cumulative
%   maximum of X. If X is a matrix, VL_CUMMAX(X) is the matrix of the
%   cumulative maximum of the columns of X. If X is a multi-dimensional
%   array, VL_CUMMAX(X) operates along the first non-singleton
%   dimension.
%
%   The function is analogous to CUMSUM() and CUMPROD(), but it
%   computes the cumulative maximum rather than the cumulative sum or
%   product.
%
%   The array X can be of any numeric class.
%
%   Example::
%     The cumulative maximum VL_CUMMAX([1 2 3 2 1]) is the vector
%     [1 2 3 3 3].
%
%   See also: CUMSUM(), CUMPROD(), VL_HELP().
[varargout{1:nargout}] = vl_cummax(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ddgaussian.m000066400000000000000000000006771203326130700207170ustar00rootroot00000000000000function varargout = ddgaussian(varargin)
% VL_DDGAUSSIAN Second derivative of the Gaussian density function
%   Y=VL_DDGAUSSIAN(X) computes the second derivative of the standard
%   Gaussian density.
%
%   To obtain the second derivative of the Gaussian density of
%   standard deviation S, do
%
%     Y = 1/S^3 * VL_DDGAUSSIAN(X/S) .
%
%   See also: VL_GAUSSIAN(), VL_DGAUSSIAN(), VL_HELP().
[varargout{1:nargout}] = vl_ddgaussian(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/det.m000066400000000000000000000015241203326130700173410ustar00rootroot00000000000000function varargout = det(varargin)
% VL_DET  Compute DET curve
%  [MISSRATE, FALSEALRAM] = VL_DET(LABELS, SCORES) computes the
%  Detection Error Trade-off (DET) curve for the given set LABELS and
%  SCORES. The function is a simple wrapper to VL_ROC(LABELS,
%  SCORES). In fact, MISSRATE is simply the false positive rate and
%  FALSEARALM the false negative rate returned by VL_ROC().
%
%  VL_DET(...) without output arguments plots the curves in the
%  current axis. Note that the DET curves use logarithmic axis.
%
%  VL_DET(..., OPT, ARG, ...) accepts the same options as VL_ROC().
%
%  REFERENCES:
%  [1] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and
%  M. Przybocki. The DET curve in assessment of detection task
%  performance. In Proc. Conf. on Speech Communication and Technology,
%  1997.
[varargout{1:nargout}] = vl_det(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/dgaussian.m000066400000000000000000000006221203326130700205410ustar00rootroot00000000000000function varargout = dgaussian(varargin)
% VL_DGAUSSIAN  Derivative of the Gaussian density function
%   Y=VL_DGAUSSIAN(X) evaluates the derivative of the standard Gaussian
%   density.
%
%   To obtain the Gaussian density of standard deviation S, do
%
%     Y = 1/S^2 * VL_DGAUSSIAN(X/S) .
%
%   See also: VL_GAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().
[varargout{1:nargout}] = vl_dgaussian(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/dsift.m000066400000000000000000000116161203326130700177010ustar00rootroot00000000000000function varargout = dsift(varargin)
% VL_DSIFT  Dense SIFT
%   [FRAMES,DESCRS] = VL_DSIFT(I) extracts a dense set of SIFT
%   keypoints from image I. I must be of class SINGLE and grayscale.
%   FRAMES is a 2 x NUMKEYPOINTS, each colum storing the center (X,Y)
%   of a keypoint frame (all frames have the same scale and
%   orientation). DESCRS is a 128 x NUMKEYPOINTS matrix with one
%   descriptor per column, in the same format of VL_SIFT().
%
%   VL_DSIFT() does NOT compute a Gaussian scale space of the image
%   I. Instead, the image should be pre-smoothed at the desired scale
%   level, e.b. by using the VL_IMSMOOTH() function.
%
%   The scale of the extracted descriptors is controlled by the option
%   SIZE, i.e. the width in pixels of a spatial bin (recall that a
%   SIFT descriptor is a spatial histogram with 4 x 4 bins).
%
%   The sampling density is controlled by the option STEP, which is
%   the horizontal and vertical displacement of each feature cetner to
%   the next.
%
%   The sampled image area is controlled by the option BOUNDS,
%   defining a rectangle in which features are comptued. A descriptor
%   is included in the rectangle if all the centers of the spatial
%   bins are included. The upper-left descriptor is placed so that the
%   uppler-left spatial bin center is algined with the upper-left
%   corner of the rectangle.
%
%   By default, VL_DSIFT() computes features equivalent to
%   VL_SIFT(). However, the FAST option can be used to turn on an
%   variant of the descriptor (see VLFeat C API documentation for
%   further details) which, while not strictly equivalent, it is much
%   faster.
%
%   VL_DSIFT() accepts the following options:
%
%   Step:: [1]
%     Extracts a SIFT descriptor each STEP pixels.
%
%   Size:: [3]
%     A spatial bin covers SIZE pixels.
%
%   Bounds:: [whole image]
%     Specifies a rectangular area where descriptors should be
%     extracted. The format is [XMIN, YMIN, XMAX, YMAX]. If this
%     option is not specified, the entiere image is used.  The
%     bounding box is clipped to the image boundaries.
%
%   Norm::
%     If specified, adds to the FRAMES ouptut argument a third
%     row containint the descriptor norm, or engergy, before
%     contrast normalization. This information can be used to
%     suppress low contrast descriptors.
%
%   Fast::
%     If specified, use a piecewise-flat, rather than Gaussian,
%     windowing function. While this breaks exact SIFT equivalence,
%     in practice is much faster to compute.
%
%   FloatDescriptors::
%     If specified, the descriptor are returned in floating point
%     rather than integer format.
%
%   Verbose::
%     If specified, be verbose.
%
%   RELATION TO THE SIFT DETECTOR
%
%   In the standard SIFT detector/descriptor, implemented by
%   VL_SIFT(), the size of a spatial bin is related to the keypoint
%   scale by a multiplier, called magnification factor, and denoted
%   MAGNIF. Therefore, the keypoint scale corresponding to the
%   descriptors extracted by VL_DSIFT() is equal to SIZE /
%   MAGNIF. VL_DSIFT() does not use MAGNIF because, by using dense
%   sampling, it avoids detecting keypoints in the first plance.
%
%   VL_DSIFT() does not smooth the image as SIFT does. Therefore, in
%   order to obtain equivalent results, the image should be
%   pre-smoothed approriately. Recall that in SIFT, for a keypoint of
%   scale S, the image is pre-smoothed by a Gaussian of variance S.^2
%   - 1/4 (see VL_SIFT() and VLFeat C API documentation).
%
%   Example::
%     This example produces equivalent SIFT descriptors using
%     VL_DSIFT() and VL_SIFT():
%
%      binSize = 8 ;
%      magnif = 3 ;
%      Is = vl_imsmooth(I, sqrt((binSize/magnif)^2 - .25)) ;
%
%      [f, d] = vl_dsift(Is, 'size', binSize) ;
%      f(3,:) = binSize/magnif ;
%      f(4,:) = 0 ;
%      [f_, d_] = vl_sift(I, 'frames', f) ;
%
%   Remark::
%     The equivalence is never exact due to (i) boundary effects
%     and (ii) the fact that VL_SIFT() downsamples the image to save
%     computation. It is, however, usually very good.
%
%   Remark::
%     In categorization it is often useful to under-smooth the image,
%     comared to standard SIFT, in order to keep the gradients
%     sharp.
%
%   FURTHER DETAILS ON THE GEOMETRY
%
%   As mentioned, the VL_DSIFT() descriptors cover the bounding box
%   specified by BOUNDS = [XMIN YMIN XMAX YMAX]. Thus the top-left bin
%   of the top-left descriptor is placed at (XMIN, YMIN). The next
%   three bins to the right are at XMIN + SIZE, XMIN + 2*SIZE, XMIN +
%   3*SIZE. The X coordiante of the center of the first descriptor is
%   therefore at (XMIN + XMIN + 3*SIZE) / 2 = XMIN + 3/2 * SIZE.  For
%   instance, if XMIN = 1 and SIZE = 3 (default values), the X
%   coordinate of the center of the first descriptor is at 1 + 3/2 * 3
%   = 5.5. For the second descriptor immediately to its right this is
%   5.5 + STEP, and so on.
%
%   See also: VL_SIFT(), VL_HELP().
[varargout{1:nargout}] = vl_dsift(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/dsigmoid.m000066400000000000000000000004701203326130700203630ustar00rootroot00000000000000function varargout = dsigmoid(varargin)
% VL_DSIGMOID  Derivative of the sigmoid function
%   Y = VL_DSIGMOID(X) returns the derivative of VL_SIGMOID(X). This is
%   calculated as - VL_SIGMOID(X) * (1 - VL_SIGMOID(X)).
%
%   See also: VL_SIGMOID(X), VL_HELP().
[varargout{1:nargout}] = vl_dsigmoid(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/dwaffine.m000066400000000000000000000005301203326130700203440ustar00rootroot00000000000000function varargout = dwaffine(varargin)
% VL_DWAFFINE  Derivative of an affine warp
%   [DWX,DWY]=VL_DWAFFINE(X,Y) returns the derivative of the 2-D affine
%   warp [WX; WY] = [A T] [X; Y] with respect to the parameters A,T
%   computed at points X,Y.
%
%   See also: VL_WAFFINE(), VL_HELP().
[varargout{1:nargout}] = vl_dwaffine(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/erfill.m000066400000000000000000000007401203326130700200410ustar00rootroot00000000000000function varargout = erfill(varargin)
% VL_ERFILL  Fill extremal region
%  MEMBERS=VL_ERFILL(I,ER) returns the list MEMBERS of the pixels which
%  belongs to the extremal region represented by the pixel ER.
%
%  The selected region is the one that contains pixel ER and of
%  intensity I(ER).
%
%  I must be of class UINT8 and ER must be a (scalar) index of the
%  region representative point.
%
%  See also: VL_MSER(), VL_HELP().
[varargout{1:nargout}] = vl_erfill(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ertr.m000066400000000000000000000006571203326130700175470ustar00rootroot00000000000000function varargout = ertr(varargin)
% VL_ERTR  Transpose exremal regions frames
%  F = VL_ERTR(F) transposes the frames F as returned by VL_MSER(). This
%  conversion is required as the VL_MSER algorithm considers the column
%  index I as the frist image index, while according standard image
%  convention the first coordinate is the abscissa X.
%
%  See also: VL_MSER(), VL_HELP().
[varargout{1:nargout}] = vl_ertr(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/figaspect.m000066400000000000000000000005361203326130700205340ustar00rootroot00000000000000function varargout = figaspect(varargin)
% VL_FIGASPECT  Set figure aspect ratio
%   VL_FIGASPECT(A) sets the current figure aspect ratio to A. It
%   leaves the length of the shortest side unaltered. Both the
%   screen and paper positions are affected.
%
%   See also: VL_PRINTSIZE(), VL_HELP().
[varargout{1:nargout}] = vl_figaspect(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/flatmap.m000066400000000000000000000006411203326130700202100ustar00rootroot00000000000000function varargout = flatmap(varargin)
% VL_FLATMAP Flatten a tree, assigning the label of the root to each node
%   [LABELS CLUSTERS] = VL_FLATMAP(MAP) labels each tree of the forest contained
%   in MAP. LABELS contains the linear index of the root node in MAP, CLUSTERS
%   instead contains a label between 1 and the number of clusters.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_flatmap(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/gaussian.m000066400000000000000000000006111203326130700203730ustar00rootroot00000000000000function varargout = gaussian(varargin)
% VL_GAUSSIAN  Standard Gaussian density function
%   Y=VL_GAUSSIAN(X) computes the standard (zero mean, unit variance)
%   Gaussian density.
%
%   To obtain the Gaussian density of standard deviation S do
%
%     Y = 1/S * VL_GAUSSIAN(X/S).
%
%   See also: VL_DGAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().
[varargout{1:nargout}] = vl_gaussian(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/getpid.m000066400000000000000000000005461203326130700200440ustar00rootroot00000000000000function varargout = getpid(varargin)
% VL_GETPID Get MATLAB process ID
%   VL_GETPID() returns MATLAB process ID.
%
%   Algorithm::
%     VL_GETPID() returns the result of the getpid() system call on
%     UNIX-like operating systems and of GetCurrentProcessID() on
%     Windows.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_getpid(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/grad.m000066400000000000000000000015731203326130700175060ustar00rootroot00000000000000function varargout = grad(varargin)
% VL_GRAD Compute the gradient of an image
%   [IX,IY] = VL_GRAD(I) returns the gradient components IX,IY of the
%   2-D discrete function I. I must be a two-dimensional
%   matrix. VL_GRAD() computes the gradient by using finite
%   differences; specifically, it uses central differences for all but
%   the boundary pixels, for which it uses forward/backward
%   differences as appropriate.
%
%   Remark::
%     VL_GRAD() is similar to the MATLAB built-in GRADIENT() function,
%     excepts that it supports different gradient approximations.
%
%   VL_GRAD() accepts the following options:
%
%   Type:: central
%     Specify which type of finite differences to use for all but the
%     boundary samples. TYPE can be one of 'central', 'forward', or
%     'backward'.
%
%   See also: GRADIENT(), VL_HELP().
[varargout{1:nargout}] = vl_grad(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/harris.m000066400000000000000000000052621203326130700200600ustar00rootroot00000000000000function varargout = harris(varargin)
% VL_HARRIS  Harris corner strength
%  H = VL_HARRIS(I,SI) computes the Harris corner strength of the image I
%  at ``integration'' scale SI.
%
%  The Harris strength [1] of a pixel is a statistic of the gradient
%  of the image integrated in a neighborhood of that pixel. This
%  neighborhood is a Gaussian window of variance SI.
%
%  In computing the Harris corner strength, there is a second scale
%  parameter, the ``derivation'' scale SD, which is the variance of
%  the Gaussian kernel used to pre-smooth the image I before computing
%  its gradient. SI and SD are independent parameters and VL_HARRIS(I,SI)
%  assumes that I is already smoothed at level SD.
%
%  VL_HARRIS(I,SI) uses Noble's variation [2] of the Harris score. If
%  SIGMAP and SIGMAM are respectively the biggest and smallest
%  eigenvalue of the structure tensor at a pixel, the score is given
%  by (SIGMAP*SIGMAM) / (SIGMAP+SIGMAM/2).  Let GAMMA = SIGMAM/SIGMAP
%  the ratio between the eigenvalues, which measures the degree of
%  anisotropy of the tensor and is always comprised in the range
%  [0,1].  Noble's score can be decomposed in two factors: the biggest
%  eigenvalue SIGMAP and the number
%
%    RHO = (2 GAMMA) / (GAMMA + 1).
%
%  RHO is another measure of isotropy that has value one for a
%  symmetric tensor and and zero for maximally anisotropic tensor.
%  [H,DETAILS] = VL_HARRIS(I,SIGMA) returns the additional structure
%  DETAILS with the following fields:
%
%    DETAILS.SIGMAP
%    DETAILS.RHO
%
%  VL_HARRIS(I,SI,ALPHA) uses Harris' original score [1], defined to be
%  SIGMAP*SIGMAM - ALPHA*(SIGMAP+SIGMAM)^2. This can be decomposed in
%  the factors SIGMAP^2 (note the square) and
%
%    RHO = GAMMA - ALPHA (1+GAMMA)^2.
%
%  Note that RHO is equal to -ALPHA for a maximally anisotropic
%  tensor. Typically ALPHA=0.04 and this is what is used by
%  VL_HARRIS(I,SI,[]).
%
%  REMARK. The gradient of the image I, used to compute the structure
%  tensor, is computed using central differencies. This means that a
%  function line [+1,-1,+1,...] has null Harris' score. This is
%  generally assumed to be a sampling artifact, and might be
%  avoided by oversampling the image.
%
%  EXAMPLE::
%    To extacts Harris points from image I:
%      idx = vl_localmax( vl_harris( vl_imsmooth( I, sd ), si ) ) ;
%      [i,j] = ind2sub( size(I), idx )
%
%  REFERENCES::
%    [1] C. Harris and M. Stephens, "A combined corner and edge detector,"
%    in Proceedings of The Fourth Alvey Vision Conference, pp. 147-151,
%    1988.
%
%    [2] J. A. Noble, "Finding corners, "Image Vision Computing, vol. 6,
%    no. 2, pp. 121-128, 1988.
%
%  See also: VL_HELP().
[varargout{1:nargout}] = vl_harris(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/hat.m000066400000000000000000000003601203326130700173360ustar00rootroot00000000000000function varargout = hat(varargin)
% VL_HAT  Hat operator
%   H = VL_HAT(OM) returns the skew symmetric matrix by taking the "hat"
%   of the 3D vector OM.
%
%   See also: VL_IHAT(), VL_HELP().
[varargout{1:nargout}] = vl_hat(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/hikmeans.m000066400000000000000000000024461203326130700203700ustar00rootroot00000000000000function varargout = hikmeans(varargin)
% VL_HIKMEANS  Hierachical integer K-means
%   [TREE,ASGN] = VL_HIKMEANS(DATA,K,NLEAVES) applies recursive integer
%   K-menas to cluster the data DATA, returing a structure TREE
%   representing the clusters and a vector ASGN with the data to
%   cluster assignments. The depth of the recursive partition is
%   computed so that at least NLEAVES are generated.
%
%   VL_HIKMEANS() is built on top of VL_IKMEANS() and requires the data to
%   be of class UINT8.
%
%   TREE is a structure representing the hierarchical clusters.  Each
%   node of the tree is also a structure with fields:
%
%   DEPTH::
%     Depth of the tree (only at the root node)
%
%   CENTERS::
%     K cluster centers
%
%   SUB::
%     Array of K node structures representing subtrees
%     (this field is missing at leaves).
%
%   ASGN is a matrix with one column per datum and height equal to the
%   depth of the tree. Each column encodes the branch of the tree that
%   correspond to each datum.
%
%   Example::
%     ASGN(:,7) = [1 5 3] means that the tree as depth equal to 3 and
%     that the datum X(:,7) corresponds to the branch
%     ROOT->SUB(1)->SUB(5)->SUB(3).
%
%   See also: VL_HIKMEANSPUSH(), VL_HIKMEANSHIST(), VL_IKMEANS(), VL_HELP().
[varargout{1:nargout}] = vl_hikmeans(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/hikmeanshist.m000066400000000000000000000020161203326130700212510ustar00rootroot00000000000000function varargout = hikmeanshist(varargin)
% VL_HIKMEANSHIST  Compute histogram of quantized data
%  H = VL_HIKMEANSHIST(TREE,PATH) computes the histogram of the HIKM tree
%  nodes activated by the root-to-leaf paths PATH. PATH is usually
%  obtained by quantizing data by means of VL_HIKMEANSPUSH().
%
%  The histogram H has one bin for each node of the HIKM tree TREE.
%  The tree has K = TREE.K nodes and depth D = TREE.DEPTH.  Therefore
%  there are M = (K^(D+1) - 1) / (K - 1) nodes in the tree (not
%  counting the root which carries no information). Nodes are stacked
%  into a vector of bins in breadth first order.
%
%  Example::
%    The following relations illustrate the structure of PATH:
%      H(1)   = # of paths such that PATH(1,:) = 1
%      H(K)   = # of paths such that PATH(1,:) = K
%      H(K+1) = # of paths such that PATH(1:2,:) = [1 ; 1]
%      H(K+K) = # of paths such that PATH(1:2,:) = [1 ; K]
%
%  See also: VL_HIKMEANS(), VL_HIKMEANSPUSH(), VL_HELP().
[varargout{1:nargout}] = vl_hikmeanshist(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/hikmeanspush.m000066400000000000000000000012711203326130700212630ustar00rootroot00000000000000function varargout = hikmeanspush(varargin)
% VL_HIKMEANSPUSH   Push data down an integer K-means tree
%   PATH = VL_HIKMEANSPUSH(TREE,X) quanizes the data X with the
%   hierachical integer K-means tree TREE. This is obtained by
%   calculating the path of each datum from the root of TREE down to a
%   leaf. Here X has a datum for each column and each column of PATH
%   represents the corresponding root-to-leaf path.
%
%   Example::
%     PATH(:,1) = [2 1 4] means that the first datum follows
%     the branches number 2, 1 and 4 starting from the root of the
%     HIKM tree ending to a leaf.
%
%   See also: VL_HIKMEANS(), VL_HELP().
[varargout{1:nargout}] = vl_hikmeanspush(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/histmarg.m000066400000000000000000000010321203326130700203750ustar00rootroot00000000000000function varargout = histmarg(varargin)
% VL_HISTMARG  Marginal of histogram
%   H = VL_HISTMARG(H, DIMS) marginalizes the historgram H w.r.t the
%   dimensions DIMS. This is done by summing out all dimensions not
%   listed in DIMS and deleting them.
%
%   Remark::
%     If DIMS lists only one dimension, the returned histogram H is a
%     column vector. Notice that this way of deleting dimensions is
%     not always consistent with the SQUEEZE function.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_histmarg(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/hog.m000066400000000000000000000031031203326130700173350ustar00rootroot00000000000000function varargout = hog(varargin)
% VL_HOG Compute HOG features
%   HOG = VL_HOG(IM, CELLSIZE) computes the HOG features for image IM
%   and the specified CELLSIZE. IM can be either grayscale or colour
%   in SINGLE storage class. HOG is an array of cells: its number
%   of columns is approximately the number of columns of IM divided
%   by CELLSIZE and the same for the number of rows. The third
%   dimension spans the feature compoents.
%
%   PERM = VL_HOG('permutation') returns the left-right permutation
%   to apply to each HOG cell to flip it.
%
%   IMAGE = VL_HOG('render', HOG) returns an IMAGE containing an
%   iconic representation of the array of cells HOG.
%
%   Options:
%
%   Variant:: 'UoCTTI'
%     Choose a HOG variant: 'UoCTTI' or 'Dalal-Triggs'.
%
%   NumOrientations:: 9
%     Choose a number of undirected orientations in the orientation
%     histograms. The angle [0,pi) is divided in to NumOrientation
%     equal parts.
%
%   DirectedPolarField::
%     By specifying this flag the image IM is interpreted as samples
%     from a 2D vector field specified by their argument IM(:,:,2) and
%     modulus IM(:,:,1).
%
%   UndirectedPolarField::
%     Same as above, but wraps angles in [0,pi).
%
%   BilinearOrientations::
%     This flags activates the use of bilinear interpolation to assign
%     orientations to bins. This produces a smoother feature, but is
%     not some other implementations (e.g. UoCTTI).
%
%   Example:: computing and visualizing HOG features
%     hog = vl_hog(im2single(im)) ; % compute HOG features
[varargout{1:nargout}] = vl_hog(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/homkermap.m000066400000000000000000000047601203326130700205550ustar00rootroot00000000000000function varargout = homkermap(varargin)
% VL_HOMKERMAP Homogeneous kernel map
%   V = VL_HOMKERMAP(X, N) computes a 2*N+1 dimensional approximated
%   kernel map for the Chi2 kernel. X is an array of data points. Each
%   point is expanded into a vector of dimension 2*N+1 and saved to
%   the output V. The expanded feature vectors are stacked along the
%   first dimension, so that the output array V has the same
%   dimensions of the input array X except for the first one, which is
%   2*N+1 times larger.
%
%   The function accepts the following options:
%
%   KChi2::
%     Compute the map for the Chi2 kernel.
%
%   KINTERS::
%     Compute the map for the intersection kernel.
%
%   KL1::
%     Same as KINTERS, but deprecated as the name is not fully
%     accurate.
%
%   KJS::
%     Compute the map for the JS (Jensen-Shannon) kernel.
%
%   Period:: [automatically tuned]
%     Set the period of the kernel specturm. The approximation is
%     based on periodicizing the kernel specturm. If not specified,
%     the period is automatically set based on the heuristic described
%     in [2].
%
%   Window:: [RECTANGULAR]
%     Set the window used to truncate the spectrum before The window
%     can be either RECTANGULAR or UNIFORM window. See [2] and the API
%     documentation for details.
%
%   Gamma:: [1]
%     Set the homogeneity degree of the kernel. The standard kernels
%     are 1-homogeneous, but sometimes smaller values perform better
%     in applications. See [2] for details.
%
%   Example::
%     The following code results in approximatively the same
%     similarities matrices between points X and Y:
%
%       x = rand(10,1) ;
%       y = rand(10,100) ;
%       psix = vl_homkermap(x, 3) ;
%       psiy = vl_homkermap(y, 3) ;
%       figure(1) ; clf ;
%       ker = vl_alldist(x, y, 'kchi2') ;
%       ker_ = psix' * psiy ;
%       plot([ker ; ker_]') ;
%
%   Note::
%     The homogeneous kernels K(X,Y) are normally defined for
%     non-negative data only. VL_HOMKERMAP defines them for both
%     positive and negative data by using the definition
%     SIGN(X)SIGN(Y)K(ABS(X),ABS(Y)) -- note that other extensions are
%     possible as well (see [2]).
%
%   REFERENCES::
%     [1] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     Proc. CVPR, 2010.
%
%     [2] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     PAMI, 2011 (submitted).
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_homkermap(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ihashfind.m000066400000000000000000000006241203326130700205220ustar00rootroot00000000000000function varargout = ihashfind(varargin)
% VL_IHASHFIND  Find labels in an integer hash table
%   SEL = VL_IHASHFIND(ID, NEXT, K, X) returns a vector SEL of the
%   entires in the hash table ID,NEXT,K corresponding to the labels
%   stored as columns of X.
%
%   The format is the same as for the functino VL_IHASHSUM().
%
%   See also: VL_IHASHSUM().
[varargout{1:nargout}] = vl_ihashfind(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ihashsum.m000066400000000000000000000043511203326130700204070ustar00rootroot00000000000000function varargout = ihashsum(varargin)
% VL_IHASHSUM  Accumulate integer labels into a hash table
%   [H,ID,NEXT] = VL_IHASHSUM(H,ID,NEXT,K,X) counts the number of
%   occurences of the columns of X, accumulating these to the hash
%   table represented by the tripled H,ID,NEXT.
%
%   X is a D x N array of class UINT8 each row of which defines an D
%   dimensional label. Labels cannot be all zeros.
%
%   H and NEXT are 1 x C arrays of class UINT32 and ID is a D x C
%   array of class UINT8. H is a vector of counts, ID stores, for each
%   element of H, the corresponding label, and NEXT is a vector of
%   indexes.
%
%   Once constructed, the hash table can be searched by means of the
%   VL_IHASHFIND() function.
%
%   The hash table uses double hashing [1] with an initial size equal
%   to K (so that C >= K). Given a label X, this is first hashed by
%   using the FNV algorithm [2] to one of K bucket. If this bucket is
%   free, it is assigned to label X and the count is incremented.  If
%   the bucket is already assigned to the same label X, the count is
%   incremented. If the bucket is already assigned to a different
%   label, a second hash is used to scan (probe) the table for a free
%   bucket.
%
%   If no free/matching bucket is found (because the hash table is
%   full) an overflow area containing extra buckets is used. This is
%   visited by reading off indexe from the NEXT vector, until a
%   matching bucket is found or the overflow area is enlarged.
%
%   Example::
%     The following example counts integer bi-dimensional label
%     occurences:
%
%       K = 5 ;
%       h = zeros(1,K,'uint32') ;
%       id = zeros(2,K,'uint8');
%       next = zeros(1,K,'uint32') ;
%       X = uint8([1 1 ; 1 2 ; 2 1 ; 1 1]') ;
%       [h,id,next] = vl_ihashsum(h,id,next,K,X) ;
%
%     resulting in
%
%       h = [1 0 1 2 0]
%       id = [1    0    2    1    0
%             2    0    1    1    0]
%       next = [0 0 0 0 0]
%
%     For example, [1;2] has a count of 1 and [1;1] has a count of
%     2. NEXT is zero because there have been no collisions.
%
%   REFERENCES::
%   [1] http://en.wikipedia.org/wiki/Double_hashing
%   [2] http://www.isthe.com/chongo/tech/comp/fnv
%
%   See also: VL_IHASHFIND().
[varargout{1:nargout}] = vl_ihashsum(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ihat.m000066400000000000000000000004011203326130700175030ustar00rootroot00000000000000function varargout = ihat(varargin)
% VL_IHAT Inverse vl_hat operator
%   OM = VL_IHAT(H) returns a vector OM such that VL_HAT(OM) = H.
%   H hast to be 3x3 skew-symmetric.
%
%   See also: VL_HAT(), VL_HELP().
[varargout{1:nargout}] = vl_ihat(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ikmeans.m000066400000000000000000000014021203326130700202070ustar00rootroot00000000000000function varargout = ikmeans(varargin)
% VL_IKMEANS  Integer K-means
%   C = VL_IKMEANS(X,K) returns the centers of a K-means paritioning of
%   the data space X. X must be of class UINT8. C is of class UINT32.
%
%   [C, I] = VL_IKMEANS(...) returns the cluster associations I of the
%   data as well.
%
%   VL_IKMEANS() accepts the following options:
%
%   MaxPasses:: 200
%     Maximum number of iterations before giving up (the algorithm
%     stops as soon as there is no change in the data to cluster
%     associations).
%
%   Method:: Lloyd
%     Algorithm to use ('Lloyd', 'Elkan').
%
%   Verbose::
%     Increase the verbosity level.
%
%  See also: VL_IKMEANSPUSH(), VL_IKMEANSHIST(), VL_HIKMEANS(), VL_HELP().
[varargout{1:nargout}] = vl_ikmeans(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ikmeanshist.m000066400000000000000000000005041203326130700211010ustar00rootroot00000000000000function varargout = ikmeanshist(varargin)
% VL_IKMEANSHIST  Compute histogram of quantized data
%  H = VL_IKMEANSHIST(K,ASGN) computes the histogram of the IKM clusters
%  activated by cluster assignments ASGN.
%
%  See also: VL_IKMEANS(), VL_IKMEANSPUSH(), VL_HELP().
[varargout{1:nargout}] = vl_ikmeanshist(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ikmeanspush.m000066400000000000000000000005111203326130700211070ustar00rootroot00000000000000function varargout = ikmeanspush(varargin)
% VL_IKMEANSPUSH  Project data on integer K-means paritions
%   I = VL_IKMEANSPUSH(X,C) projects the data X to the integer K-meanns
%   clusters of centers C returning the cluster indeces I.
%
%   See also: VL_IKMEANS(), VL_HELP().
[varargout{1:nargout}] = vl_ikmeanspush(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imarray.m000066400000000000000000000024531203326130700202330ustar00rootroot00000000000000function varargout = imarray(varargin)
% VL_IMARRAY  Flattens image array
%   J=VL_IMARRAY(A) creates a mosaic J from the array of images A. A
%   can be either a M*N*K array, storing one gray-scale image per
%   slice, or a M*N*3*K or M*N*K*3 array, storing a true color RGB
%   image per slice. The function returns an image J which is a tiling
%   of the images in the array. Tiles are filled from left to right
%   and top to bottom.
%
%   VL_IMARRAY(...) displays the image J rather than returning it.
%
%   VL_IMARRAY() accepts the following options:
%
%   Spacing:: 0
%     Separate the images by a border of the specified width (the
%     border is assigned 0 value, which usually corresponds to black).
%
%   Layout:: empty
%     Specify a vector [TM TN] with the number of rows and columns of
%     the tiling. If equal to [] the layout is computed automatically.
%
%   Movie:: false
%     Display or return a movie instead of generating a tiling.
%
%   CMap:: []
%     Specify a colormap to construct a movie when the input is an
%     indexed image array. If not specified, MATLAB default colormap
%     is used.
%
%   Reverse:: true
%     Start filling the mosaic tiles from the bottom rather than from
%     the top.
%
%   See also:VL_IMARRAYSC(), VL_HELP().
[varargout{1:nargout}] = vl_imarray(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imarraysc.m000066400000000000000000000027171203326130700205640ustar00rootroot00000000000000function varargout = imarraysc(varargin)
% VL_IMARRAYSC  Scale and flattens image array
%   J=VL_IMARRAYSC(A) constructs an image mosaic similar to
%   J=VL_IMARRAY(A), but it rescales the range of each image in the
%   array. If A is an array of grayscale images, J will index all the
%   colors in the current colormap; if A is a true color image, J will
%   span the range [0,1].
%
%   If A is of an integer class, J will be of class single SINGLE class.
%
%   VL_IMARRAYSC(...) displays the image J rather than returning it.
%
%   VL_IMARRAYSC() accepts the options of VL_IMARRAY() and:
%
%   CLim:: []
%     Rescale the specified range of values rather than the actual
%     range of each image.
%
%   Uniform:: [false]
%     Rescale the range of all the images together, rather than on
%     an image-by-image basis.
%
%   CMap:: []
%     Use the specified color map as a reference rather than the
%     current or default one.
%
%   Algorithm::
%     CLim is seet to the image range [m, M], where m is the minimum
%     value of an image and M is the maximum. The image range CLim is
%     then affinely mapped to the integers from 1 to C, where C is the
%     number of colors in the colormap, or to the range [0,1] for true
%     color images. The mapping is done so that the first color is
%     assigned the first subinterval of length C of the range [m,M]
%     and so on.
%
%   See also: VL_IMARRAY(), VL_HELP(), IMAGE().
[varargout{1:nargout}] = vl_imarraysc(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imdisttf.m000066400000000000000000000016711203326130700204130ustar00rootroot00000000000000function varargout = imdisttf(varargin)
% VL_IMDISTTF  Image distance transform
%   DT = VL_IMDISTTF(I) computes the distance transform of image I.
%   The distance transform is defined as
%
%       DT(x,y) = min_{u,v} I(u,v) + (u - x)^2 + (v - y)^2.
%
%   [D, INDEXES] = VL_IMDISTTF(...) returns a matrix INDEXES that
%   contains for each pixel (x,y) the index of the pixel (u,v) which
%   is the minimizer of the distance transform objective.
%
%   VL_IMDSITTF(I, PARAM) uses differenet parameters for the
%   transform:
%
%      DT(u,v) = min_{u,v} I(u,v) + PARAM(1) (u - x - PARAM(2))^2
%                                 + PARAM(3) (v - y - PARAM(4))^2
%
%   The function uses the fast algorithm from [1].
%
%   REFERENCES::
%     [1] P. F. Felzenszwalb and D. P. Huttenlocher. Distance transforms
%     of sampled functions. Technical report, Cornell University, 2004.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_imdisttf(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imdown.m000066400000000000000000000006671203326130700200710ustar00rootroot00000000000000function varargout = imdown(varargin)
% VL_IMDOWN  Downsample an image by two
%   J = VL_IMDOWN(I) downsamples the image I by half by discarding
%   each other pixel.
%
%   VL_IMDOWN() accepts the following options:
%
%   Method:: Sample
%     'Sample' downsamples the image by discarding
%     pixels. 'Average' instead averages groups of 2x2 pixels.
%
%   See also: VL_IMUP(), VL_HELP().
[varargout{1:nargout}] = vl_imdown(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imgrad.m000066400000000000000000000011311203326130700200220ustar00rootroot00000000000000function varargout = imgrad(varargin)
% VL_IMGRAD  Image gradient
%   [Fx,Fy] = VL_GRAD(F) returns the finite differencies gradient of the
%   image F. The function uses central differencies and for all but
%   the boundaries pixels, for which it uses forward/backward
%   differencies as appropriate.
%
%   VL_GRAD(F,'forward') uses only forward differencies (except on the
%   lower and right boundaries, where backward difference is used).
%   Similarly, VL_GRAD(F,'backward') uses only backward differencies.
%
%   See also: GRADIENT(), VL_HELP().
[varargout{1:nargout}] = vl_imgrad(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imintegral.m000066400000000000000000000011301203326130700207110ustar00rootroot00000000000000function varargout = imintegral(varargin)
% VL_IMINTEGRAL  Compute integral image
%   J = VL_IMINTEGRAL(I) calculates the integral image J of the image
%   I.  I must a matrix with DOUBLE, SINGLE, UINT32, or INT32 storage
%   class. J is given by
%
%    J(i,j) = sum(I(1:i,1:j)).
%
%   J has the same size as I and the same storage class.
%
%   Example::
%     The following identity holds:
%       VL_IMINTEGRAL(ONES(3)) = [ 1 2 3 ;
%                                  2 4 6 ;
%                                  3 6 9 ]
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_imintegral(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/impattern.m000066400000000000000000000035551203326130700205760ustar00rootroot00000000000000function varargout = impattern(varargin)
% VL_IMPATTERN Generate an image from a stock pattern
%   IM=VLPATTERN(NAME) returns an instance of the specified
%   pattern. These stock patterns are useful for testing algoirthms.
%
%   All generated patterns are returned as an image of class
%   DOUBLE. Both gray-scale and colour images have range in [0,1].
%
%   VL_IMPATTERN() without arguments shows a gallery of the stock
%   patterns. The following patterns are supported:
%
%   Wedge::
%     The image of a wedge.
%
%   Cone::
%     The image of a cone.
%
%   SmoothChecker::
%     A checkerboard with Gaussian filtering on top. Use the
%     option-value pair 'sigma', SIGMA to specify the standard
%     deviation of the smoothing and the pair 'step', STEP to specfity
%     the checker size in pixels.
%
%   ThreeDotsSquare::
%     A pattern with three small dots and two squares.
%
%   UniformNoise::
%     Random i.i.d. noise.
%
%   Blobs:
%     Gaussian blobs of various sizes and anisotropies.
%
%   Blobs1:
%     Gaussian blobs of various orientations and anisotropies.
%
%   Blob:
%     One Gaussian blob. Use the option-value pairs 'sigma',
%     'orientation', and 'anisotropy' to specify the respective
%     parameters. 'sigma' is the scalar standard deviation of an
%     isotropic blob (the image domain is the rectangle
%     [-1,1]^2). 'orientation' is the clockwise rotation (as the Y
%     axis points downards). 'anisotropy' (>= 1) is the ratio of the
%     the largest over the smallest axis of the blob (the smallest
%     axis length is set by 'sigma'). Set 'cut' to TRUE to cut half
%     half of the blob.
%
%   A stock image::
%     Any of 'box', 'roofs1', 'roofs2', 'river1', 'river2', 'spotted'.
%
%   All pattern accept a SIZE parameter [WIDTH,HEIGHT]. For all but
%   the stock images, the default size is [128,128].
[varargout{1:nargout}] = vl_impattern(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imreadbw.m000066400000000000000000000006261203326130700203610ustar00rootroot00000000000000function varargout = imreadbw(varargin)
% VL_IMREADGRAY  Reads an image as gray-scale
%   I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
%   result to a gray scale image (DOUBLE storage class ranging in
%   [0,1]).
%
%   VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).
%
%   See also: RGB2DOUBLE(), VL_HELP().
[varargout{1:nargout}] = vl_imreadbw(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imreadgray.m000066400000000000000000000006321203326130700207100ustar00rootroot00000000000000function varargout = imreadgray(varargin)
% VL_IMREADGRAY  Reads an image as gray-scale
%   I=VL_IMREADGRAY(FILE) reads the image from file FILE and converts the
%   result to a gray scale image (DOUBLE storage class ranging in
%   [0,1]).
%
%   VL_IMREADGRAY(FILE,FMT) specifies the file format FMT (see IMREAD()).
%
%   See also: RGB2DOUBLE(), VL_HELP().
[varargout{1:nargout}] = vl_imreadgray(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imsc.m000066400000000000000000000003541203326130700175200ustar00rootroot00000000000000function varargout = imsc(varargin)
% VL_IMSC  Scale image
%   J=VL_IMSC(I) scales the range of the gray-scale or color image I to
%   fit in the interval [0,1].
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_imsc(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imseg.m000066400000000000000000000004251203326130700176700ustar00rootroot00000000000000function varargout = imseg(varargin)
% VL_IMSEG Color an image based on the segmentation
%   ISEG = VL_IMSEG(I,LABELS) labels ISEG with the average color from I of
%   each cluster indicated by LABELS.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_imseg(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imsmooth.m000066400000000000000000000021071203326130700204220ustar00rootroot00000000000000function varargout = imsmooth(varargin)
% VL_IMSMOOTH  Smooth image
%   J = VL_IMSMOOTH(I,SIGMA) convolves the image I by an isotropic
%   Gaussian kernel of standard deviation SIGMA.  I must be an array
%   of doubles. IF the array is three dimensional, the third dimension
%   is assumed to span different channels (e.g. R,G,B). In this case,
%   each channel is convolved independently.
%
%   VL_IMSMOOTH() accepts the following options:
%
%   Kernel::
%     Selects between GAUSSIAN and TRIANGULAR kernels. The triangular
%     kernel support has 2*SIGMA-1 sampels. Kernels have unit mass.
%
%   Padding::
%     Selects between ZERO or CONTINUITY padding method to handle the
%     image boundaries. ZERO extends the input image with zeroes
%     around the border, and CONTINUITY extends the image with
%     constant pixels.
%
%   Step::
%     Sets the subsampling step. A subsampling step of STEP pixels
%     causes J(1:STEPS:end, 1:STEPS:end, :) to be computed. This is
%     useful to downsample the image.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_imsmooth(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imup.m000066400000000000000000000003721203326130700175370ustar00rootroot00000000000000function varargout = imup(varargin)
% VL_IMUP Upsample an image by two
%   J=VL_IMUP(I) doubles the resolution of the image I by using
%   bilinear interpolation.
%
%   See also: VL_IMDOWN(), VL_HELP().
[varargout{1:nargout}] = vl_imup(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imwbackward.m000066400000000000000000000015531203326130700210620ustar00rootroot00000000000000function varargout = imwbackward(varargin)
% VL_IMWBACKWARD  Image backward warping
%   J = VL_IMWBACKWARD(I, X, Y) returns the values of image I at
%   locations X,Y. X and Y are real matrices of arbitrary but
%   identical dimensions. I is bilinearly interpolated between samples
%   and extended with NaNs to the whole real plane.
%
%   [J,JX,JY] = VL_IMWBACKWARD(...) returns the warped derivatives JX and
%   JY too.
%
%   By default, VL_IMWBACKWARD() assumes that the image I uses the standard
%   coordinate system. VL_IMWBACKWARD(XR,YR,I,X,Y) assumes instead that I
%   is defined on a rectangular grid specified by the vectors XR and
%   YR.
%
%   VL_IMWBACKWARD() is less general than the MATLAB native function
%   INTERP2(), but it is significantly faster.
%
%   See also: IMWFORWARD(), INTERP2(), VL_HELP().
[varargout{1:nargout}] = vl_imwbackward(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/imwhiten.m000066400000000000000000000011341203326130700204060ustar00rootroot00000000000000function varargout = imwhiten(varargin)
% VL_IMWHITEN  Whiten image
%   J = VL_IMWHITEN(I,ALPHA) approximatively whitens the power spectrum
%   of the natural image I. The algorithm assumes that the modulus of
%   the spectrum decays as 1/f^ALPHA (f is the frequency).
%
%   VL_IMWHITEN(I) uses ALPHA=1 (a typical value for natural images).
%
%   VL_IMWHITEN(I,ALPHA,CUTOFF) also applies a low-pass filter with
%   cutoff frequency equal to CUTOFF x FN, where FN is the Nyquist
%   frequency (half of the sampling frequency).
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_imwhiten(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/inthist.m000066400000000000000000000021541203326130700202470ustar00rootroot00000000000000function varargout = inthist(varargin)
% VL_INTHIST  Calculate Integral Histogram
%   INTHIST = VL_INTHIST(LABELS) computes the integral histogram for
%   the label map(s) LABELS.
%
%   LABELS is a [M,N,L] UINT32 array containing L label maps (one for
%   each MxN layer). Each label map associates to each of the MxN
%   pixels one of K labels (a value of 0 denotes no association) with
%   unitary mass.
%
%   INTHIST is the [M,N,K] integral histogram obtained by integrating
%   the label maps (an integral histogram is just an array of K
%   integral images, one for each of the K labels). All layers of
%   labels are accumulated to the same integral histogram.
%
%   The total number of labels K is obtained as the maximum value of
%   LABELS. VL_INTHIST(..., 'NUMLABELS', K) specifies the number of
%   labels explicitly.
%
%   VL_INTHIST(..., 'MASS', MASSES) specifies a mass MASSES for each
%   entry of LABELS. MASSES can be either of class UINT32 or DOUBLE,
%   and the class of INTHIST varies accordingly.
%
%   See also: VL_IMINTEGRAL(), VL_SAMPLEINTHIST(), VL_HELP().
[varargout{1:nargout}] = vl_inthist(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/irodr.m000066400000000000000000000014011203326130700176760ustar00rootroot00000000000000function varargout = irodr(varargin)
% VL_IRODR  Inverse Rodrigues' formula
%   OM = VL_IRODR(R) where R is a rotation matrix computes the the
%   inverse Rodrigues' formula of om, returning the rotation matrix R
%   = dehat(Logm(OM)).
%
%   [OM,DOM] = VL_IRODR(R) computes also the derivative of the Rodrigues'
%   formula. In matrix notation this is the expression
%
%          d( dehat logm(vl_hat(R)) )
%     dom = ----------------------.
%                  d(vec R)^T
%
%   [OM,DOM] = VL_IRODR(R) when R is a 9xK matrix repeats the operation
%   for each column (or equivalently matrix with 9*K elements). In
%   this case OM and DOM are arrays with K slices, one per rotation.
%
%   See also: VL_RODR(), VL_HELP().
[varargout{1:nargout}] = vl_irodr(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/kdtreebuild.m000066400000000000000000000042721203326130700210660ustar00rootroot00000000000000function varargout = kdtreebuild(varargin)
% VL_KDTREEBUILD  Build randomized kd-tree
%   FOREST = VL_KDTREEBUILD(X) returns a structure FOREST containing
%   the kd-tree indexing the data X. X is a M x N dimensional matrix
%   of class DOUBLE or SINGLE with one data point per column. Use
%   VL_KDTREEQUERY() to query the index.
%
%   VL_KDETREEBUILD() accepts the following options:
%
%   NumTrees:: [1]
%     Specifies the number of semi-randomized KD-trees to add to the
%     forest. Multiple trees can be used to improve approximate
%     nearest-neighbors searches with VL_KDTREEQUERY().
%
%   ThresholdMethod:: [MEDIAN]
%     Specifies the thresholding method used to split the data.  Two
%     methods are supported: split around the median (MEDIAN) or split
%     around the mean (MEAN).
%
%   Verbose::
%     Increases the verbosity level (can be repeated).
%
%   The FOREST structure has the following fields:
%
%   FOREST.TREES::
%     A structure array with one element per tree.
%
%   FOREST.DIMENSION::
%     Dimensionality of the indexed data.
%
%   FOREST.NUMDATA::
%     Number of indexed data points.
%
%   The TREE structure has the following fields:
%
%   TREE.NODES::
%      A structure array representing the nodes of the tree.
%
%   TREE.DATAINDEX::
%      A 1 x NUMDATA vector of class UINT32 representing a permutation
%      of the data.
%
%   Nodes are numbered from 1 to NUMNODES.  The NODES structure array
%   has the following fields:
%
%   NODES.LOWERCHILD and NODES.UPPERCHILD::
%      1 x NUMNODES vectors of class INT32. A positive value is the
%      index of the lower/upper child node. A negative value denotes a
%      leaf and is (after negation) is the first or last element plus
%      one of a range of entries in the permutation TREE.DATAINDEX.
%      Such entries are in turn indexes of the data points that belong
%      to that leaf. Typically there is one point per leaf.
%
%   NODES.SPLITDIMENSION and NODES.SPLITTHRESHOLD::
%      1 x NUMNODES vector of class UINT32 and DOUBLE, respectively,
%      with the index of the splitting dimension and the threshold for
%      each node.
%
%   See also: VL_KDTREEQUERY(), VL_HELP().
[varargout{1:nargout}] = vl_kdtreebuild(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/kdtreequery.m000066400000000000000000000033011203326130700211240ustar00rootroot00000000000000function varargout = kdtreequery(varargin)
% VL_KDTREEQUERY Query KD-tree
%   [INDEX, DIST] = VL_KDTREEQUERY(KDTREE, X, Y) computes the nearest
%   column of X to each column of Y (in Euclidean distance). KDTREE is
%   a forest of kd-trees build by VL_KDTREEBUILD(). X is a
%   NUMDIMENSIONS x NUMDATA data matrix of class SINGLE or DOUBLE with
%   the data indexed by the kd-trees (it must be the same data matrix
%   passed to VK_KDTREEBUILD() to build the trees). Y is the
%   NUMDIMENSIONS x NUMQUERIES matrix of query points and must have
%   the same class of X. INDEX is a 1 x NUMQUERIES matrix of class
%   UINT32 with the index of the nearest column of X for each column
%   of Y. DIST is a 1 x NUMQUERIES vector of class SINGLE or DOUBLE
%   (depending on the class of X and Y) with the corresponding squared
%   Euclidean distances.
%
%   [INDEX, DIST] = VL_KDTREEQUERY(..., 'NUMNEIGHBORS', NN) can be
%   used to return the N nearest neighbors rather than just the
%   nearest one. In this case INDEX and DIST are NN x NUMQUERIES
%   matrices. Neighbors are returned by increasing distance.
%
%   VL_KDTREEQUERY(..., 'MAXNUMCOMPARISONS', NCOMP) performs at most
%   NCOMP comparisons for each query point. In this case the result is
%   only approximate (i.e. approximated nearest-neighbors, or ANNs)
%   but the speed can be greatly improved.
%
%   Options:
%
%   NumNeighbors::
%     Sets the number of neighbors to compute for each query point (by
%     default 1).
%
%   MaxNumComparisons::
%     Sets the maximum number of comparisons per query point. The
%     special value 0 means unbounded. The default is 0.
%
%   See also: VL_KDTREEBUILD(), VL_HELP().
[varargout{1:nargout}] = vl_kdtreequery(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/kmeans.m000066400000000000000000000027301203326130700200430ustar00rootroot00000000000000function varargout = kmeans(varargin)
% VL_KMEANS  Cluster data using k-means
%   [C, A] = VL_KMEANS(X, NUMCENTERS) clusters the columns of the
%   matrix X in NUMCENTERS centers C using k-means. X may be either
%   SINGLE or DOUBLE. C has the same number of rows of X and NUMCENTER
%   columns, with one column per center. A is a UINT32 row vector
%   specifying the assignments of the data X to the NUMCENTER
%   centers.
%
%   [C, A, ENERGY] = VL_KMEANS(...) returns the energy of the solution
%   (or an upper bound for the ELKAN algorithm) as well.
%
%   KMEANS() supports different initialization and optimization
%   methods and different clustering distances. Specifically, the
%   following options are supported:
%
%   Verbose::
%     Increase the verbosity level (may be specified multiple times).
%
%   Distance:: [L2]
%     Use either L1 or L2 distance.
%
%   Initialization::
%     Use either random data points (RANDSEL) or k-means++ (PLUSPLUS)
%     to initialize the centers.
%
%   Algorithm:: [LLOYD]
%     Use either the standard LLOYD or the accelerated
%     ELKAN algorithm for optimization.
%
%   NumRepetitions:: [1]
%     Number of time to restart k-means. The solution with minimal
%     energy is returned.
%
%   Example::
%     VL_KMEANS(X, 10, 'verbose', 'distance', 'l1', 'algorithm',
%     'elkan') clusters the data point X using 10 centers, l1
%     distance, and the Elkan's algorithm.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_kmeans(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/lbp.m000066400000000000000000000010131203326130700173330ustar00rootroot00000000000000function varargout = lbp(varargin)
% VL_LBP  Local Binary Patterns
%   F = VL_LBP(IM, CELLSIZE) computes the Local Binary Pattern (LBP)
%   features for image I.
%
%   IM is divided in cells of size CELLSIZE. F is a three-dimensional
%   array containing one histograms of quantized LBP features per
%   cell. The witdh of F is FLOOR(WIDTH/CELLSIZE), where WIDTH is the
%   width of the image. The same for the height. The third dimension
%   is 58.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_lbp(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/lbpfliplr.m000066400000000000000000000007421203326130700205540ustar00rootroot00000000000000function varargout = lbpfliplr(varargin)
% VL_LBPFLIPLR  Flip LBP features left-right
%   F = VL_LBPFLIPLR(F) flips the LBP features F from left to
%   right.
%
%   Example::
%     The following instructions return results almost identical
%     assuming that the width of I is exactly divisible by the cell
%     size:
%       F = VL_LBP(FLIPLR(I), 8)
%       F_ = VL_LBPFLIPLR(VL_LBP(I), 8)
%
%   See also: VL_LBP(), VL_HELP().
[varargout{1:nargout}] = vl_lbpfliplr(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/linespec2prop.m000066400000000000000000000007161203326130700213540ustar00rootroot00000000000000function varargout = linespec2prop(varargin)
% VL_LINESPEC2PROP  Convert PLOT style line specs to properties
%  PROPR = VL_LINESPEC2PROP(SPEC) converts the string SPEC to a cell
%  array of properties PROPR. SPEC is in the format of PLOT().
%
%  If SPEC is not in a recognized format, the string SPEC is returned
%  unaltered as the only element of PROPR.
%
%  See also: VL_PLOTFRAME(), PLOT(), VL_HELP().
[varargout{1:nargout}] = vl_linespec2prop(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/localmax.m000066400000000000000000000033261203326130700203670ustar00rootroot00000000000000function varargout = localmax(varargin)
% VL_LOCALMAX  Find local maximizers
%   SEL=VL_LOCALMAX(F) returns the indexes of the local maximizers of
%   the Q-dimensional array F.
%
%   A local maximizer is an array element whose value is larger than
%   the value of all its neighbors.  The neighbors of an element
%   i1...iQ have subscripts j1...jQ such that iq-1 <= jq <= iq
%   (excluding i1...iQ itself).  For example, if Q=1 the neighbors of
%   an element are its predecessor and successor in the linear order;
%   if Q=2, its neighbors are the elements immediately to its north,
%   south, west, est, north-west, north-est, south-west and south-est
%   (8-neighborhood).
%
%   Points on the boundary of F are ignored (and never selected as
%   local maximizers).
%
%   SEL=VL_LOCALMAX(F,THRESH) accepts an element as a mazimizer only
%   if it is not smaller than THRESH.
%
%   SEL=VL_LOCALMAX(F,THRESH,P) looks for neighbors only in the first
%   P dimensions of the Q-dimensional array F. This allows to process
%   F in ``slices''.
%
%   Remark::
%     Matrices (2-array) with a singleton dimension are
%     interpreted as vectors (1-array). So for example VL_LOCALMAX([0 1
%     0]) and VL_LOCALMAX([0 1 0]') both return 2 as an aswer. However,
%     if [0 1 0] is to be interpreted as a 1x2 matrix, then the
%     correct answer is the empty set, as all elements are on the
%     boundary. Unfortunately MATLAB does not distinguish between
%     vectors and 2-matrices with a singleton dimension.  To forece
%     the interpretation of all matrices as 2-arrays, use
%     VL_LOCALMAX(F,TRESH,2) (but note that in this case the result is
%     always empty!).
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_localmax(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/maketrainingset.m000066400000000000000000000043711203326130700217550ustar00rootroot00000000000000function varargout = maketrainingset(varargin)
% VL_MAKETRAININGSET Make Training Dataset
%   D = VL_MAKETRAININGSET(X, Y) creates a training set struct D, given
%   the training vectors X and their labels Y. The training set D has
%   the fields DATA and LABELS. 
% 
%   If the HOMKERMAP option is used, a third field MAP is present in
%   D. MAP is another struct with the following fields: 
% 
%   order::
%     Order of the homogeneous kernel map.
% 
%   kernelType::
%     Type of kernel.
% 
%   windowType::
%     Type of window.
% 
%   gamma::
%     Value of the parameter GAMMA.
% 
%   period::
%     Value of the parameter PERIOD.
% 
%   VL_MAKETRAININGSET() accepts the following options:
% 
%   HOMKERMAP:: [empty]
%     Specify the use of an Homogeneus Kernel map for the training
%     data (See [2],[3]). The passed value N is such that a 2*N+1
%     dimensional approximated kernel map is computed. Each
%     training data point is expanded online into a vector of
%     dimension 2*N+1.
%  
%   KChi2::
%     Compute the map for the Chi2 kernel.
%
%   KINTERS::
%     Compute the map for the intersection kernel.
%
%   KL1::
%     Same as KINTERS, but deprecated as the name is not fully
%     accurate.
%
%   KJS::
%     Compute the map for the JS (Jensen-Shannon) kernel.
%
%   Period:: [automatically tuned]
%     Set the period of the kernel specturm. The approximation is
%     based on periodicizing the kernel specturm. If not specified,
%     the period is automatically set based on the heuristic described
%     in [2].
%
%   Window:: [RECTANGULAR]
%     Set the window used to truncate the spectrum before The window
%     can be either RECTANGULAR or UNIFORM window. See [2] and the API
%     documentation for details.
%
%   Gamma:: [1]
%     Set the homogeneity degree of the kernel. The standard kernels
%     are 1-homogeneous, but sometimes smaller values perform better
%     in applications. See [2] for details.
% 
%   Example::
%     VL_MAKETRAININGSET must be used together with VL_SVMPEGASOS,  
%
%       vl_twister('state',0) ;
%       dataset = vl_maketrainingset(x,y) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;
% 
%   See also: VL_SVMPEGASOS(), VL_HOMKERMAP(), VL_HELP().
[varargout{1:nargout}] = vl_maketrainingset(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/mser.m000066400000000000000000000053401203326130700175330ustar00rootroot00000000000000function varargout = mser(varargin)
% VL_MSER  Maximally Stable Extremal Regions
%   R=VL_MSER(I) computes the Maximally Stable Extremal Regions (MSER)
%   [1] of image I with stability threshold DELTA. I is any array of
%   class UINT8. R is a vector of region seeds.
%
%   A (maximally stable) extremal region is just a connected component
%   of one of the level sets of the image I.  An extremal region can
%   be recovered from a seed X as the connected component of the level
%   set {Y: I(Y) <= I(X)} which contains the pixel o index X.
%
%   The function supports images of arbitrary dimension D.
%
%   [R,F]=VL_MSER(...) also returns ellipsoids F fitted to the regions.
%   Each column of F describes an ellipsoid; F(1:D,i) is the center of
%   the elliposid and F(D:end,i) are the independent elements of the
%   co-variance matrix of the ellipsoid.
%
%   Ellipsoids are computed according to the same reference frame of I
%   seen as a matrix. This means that the first coordinate spans the
%   first dimension of I.
%
%   Notice that for 2-D images usually the opposite convention is used
%   (i.e. the first coordinate is the x-axis, which corresponds to the
%   column index). Thus, if the function VL_PLOTFRAME() is used to plot
%   the ellipses, the frames F should be `transposed' as in F = F([2
%   1 5 4 3],:). VL_ERTR() exists for this purpose.
%
%   VL_MSER(I,'Option'[,Value]...) accepts the following options
%
%   Delta:: [5]
%       Set the DELTA parameter of the VL_MSER algorithm. Roughly
%       speaking, the stability of a region is the relative variation
%       of the region area when the intensity is changed of +/-
%       Delta/2.
%
%   MaxArea:: [0.75]
%       Set the maximum area (volume) of the regions relative to
%       the image domain area (volume).
%
%   MinArea:: [3 / numPixels]
%       Set the minimum area (volume) of the regions relative to
%       the image domain area (volume).
%
%   MaxVariation:: [0.25]
%       Set the maximum variation (absolute stability score) of the
%       regions.
%
%   MinDiversity:: [0.2]
%       Set the minimum diversity of the region. When the relative
%       area variation of two nested regions is below this threshold,
%       then only the most stable one is selected.
%
%   BrightOnDark:: [1]
%       Detect bright-on-dark MSERs. This corresponds to MSERs of the
%       inverted image.
%
%   DarkOnBright:: [1]
%       Detect dark-on-bright MSERs. This corresponds to MSERs of the
%       original image.
%
%   Verbose::
%       Be verbose.
%
%   REFERENCES::
%     [1] J. Matas, O. Chum, M. Urban, and T. Pajdla, "Robust wide
%     baseline stereo from maximally stable extremal regions," in
%     Proc. BMVC, 2002.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_mser(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/noprefix.m000066400000000000000000000007401203326130700204160ustar00rootroot00000000000000function varargout = noprefix(varargin)
% VL_NOPREFIX  Create a prefix-less version of VLFeat commands
%   VL_NOPREFIX() creats prefix-less stubs for VLFeat functions
%   (e.g. SIFT for VL_SIFT). This function is seldom used as the stubs
%   are included in the VLFeat binary distribution anyways. Moreover,
%   on UNIX platforms, the stubs are generally constructed by the
%   Makefile.
%
%   See also: VL_COMPILE(), VL_HELP().
[varargout{1:nargout}] = vl_noprefix(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/numder.m000066400000000000000000000006731203326130700200630ustar00rootroot00000000000000function varargout = numder(varargin)
% VL_NUMDER  Numerical derivative
%   D = VL_NUMDER(FUNC, X) computes the numerical derivative of the
%   function FUNC at point X. X is a real array and is passed as first
%   argument of FUNC.
%
%   D = VL_NUMDER(FUNC, X, ARG1, ARG2, ...) passes ARG1, ARG2, ...  as
%   additional arguments to the function FUNC.
%
%   See also: VL_NUMDER2(), VL_HELP().
[varargout{1:nargout}] = vl_numder(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/numder2.m000066400000000000000000000005751203326130700201460ustar00rootroot00000000000000function varargout = numder2(varargin)
% VL_NUMDER2  Numerical second derivative
%   D = VL_NUMDER2(FUNC, X) computes the numerical second derivative of
%   the function FUNC at point X.
%
%   D = VL_NUMDER2(FUNC, X, ARG1, ARG2, ...) allow to pass extra
%   parameters to the function FUNC.
%
%   See also: VL_NUMDER(), VL_HELP().
[varargout{1:nargout}] = vl_numder2(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/override.m000066400000000000000000000030671203326130700204100ustar00rootroot00000000000000function varargout = override(varargin)
% VL_OVERRIDE  Override structure subset
%   CONFIG = VL_OVERRIDE(CONFIG, UPDATE) copies recursively the fileds
%   of the structure UPDATE to the corresponding fields of the
%   struture CONFIG.
%
%   Usually CONFIG is interpreted as a list of paramters with their
%   default values and UPDATE as a list of new paramete values.
%
%   VL_OVERRIDE(..., 'Warn') prints a warning message whenever: (i)
%   UPDATE has a field not found in CONFIG, or (ii) non-leaf values of
%   CONFIG are overwritten.
%
%   VL_OVERRIDE(..., 'Skip') skips fields of UPDATE that are not found
%   in CONFIG instead of copying them.
%
%   VL_OVERRIDE(..., 'CaseI') matches field names in a
%   case-insensitive manner.
%
%   Remark::
%     Fields are copied at the deepest possible level. For instance,
%     if CONFIG has fields A.B.C1=1 and A.B.C2=2, and if UPDATE is the
%     structure A.B.C1=3, then VL_OVERRIDE() returns a strucuture with
%     fields A.B.C1=3, A.B.C2=2. By contrast, if UPDATE is the
%     structure A.B=4, then the field A.B is copied, and VL_OVERRIDE()
%     returns the structure A.B=4 (specifying 'Warn' would warn about
%     the fact that the substructure B.C1, B.C2 is being deleted).
%
%   Remark::
%     Two fields are matched if they correspond exactly. Specifically,
%     two fileds A(IA).(FA) and B(IA).FB of two struct arrays A and B
%     match if, and only if, (i) A and B have the same dimensions,
%     (ii) IA == IB, and (iii) FA == FB.
%
%   See also: VL_ARGPARSE(), VL_HELP().
[varargout{1:nargout}] = vl_override(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/pegasos.m000066400000000000000000000134001203326130700202220ustar00rootroot00000000000000function varargout = pegasos(varargin)
% VL_PEGASOS PEGASOS linear SVM solver
%   W = VL_PEGASOS(X, Y, LAMBDA) learns a linear SVM W given training
%   vectors X, their labels Y, and the regularization parameter LAMBDA
%   using the PEGASOS [1] solver. The algorithm finds a minimizer W of
%   the objective function
%
%     LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))
%
%   where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
%   the number of training vectors in X.
%
%   [W B INFO] = VL_SVMPEGASOS(X, Y, LAMBDA) learns a linear SVM W
%   and a bias B given training vectors X, their labels Y, and the
%   regularization parameter LAMBDA using the PEGASOS [1]
%   solver. INFO is a struct containing the input parameters plus
%   diagnostic informations:
% 
%   energy::
%     SVM energy value.
% 
%   iterations::
%     Number of iterations performed.
% 
%   elapseTime::
%     Elapsed time since the start of the SVM learning.
% 
%   regulizerTerm::
%     Value of the SVM regulizer term.
% 
%   lossPos::
%     Value of loss function only for data points labeled positives.
% 
%   lossNeg::
%     Value of loss function onlt for data points labeled negatives.
% 
%   hardLossPos::
%     Number of mislabeled positive points.
% 
%   hardLossNeg::
%     Number of mislabeled negative points.
% 
%   ALGORITHM. PEGASOS is an implementation of stochastic subgradient
%   descent. At each iteration a data point is selected at random, the
%   subgradient of the cost function relative to that data point is
%   computed, and a step is taken in that direction. The step size is
%   inversely proportional to the iteration number. See [1] for
%   details.
%
%   VL_SVMPEGASOS() accepts the following options:
% 
%   Epsilon:: [empty]
%     Specify the SVM stopping criterion threshold. If not
%     specified VL_SVMPEGASOS will finish when the maximum number
%     of iterations is reached. The stopping criterion is tested
%     after each ENERGYFREQ iteration. 
% 
%   MaxIterations:: [10 / LAMBDA]
%     Sets the maximum number of iterations.
%
%   BiasMultiplier:: [0]
%     Appends to the data X the specified scalar value B. This
%     approximates the training of a linear SVM with bias.  
%
%   StartingModel:: [null vector]
%     Specify the initial value for the weight vector W.
%
%   StartingIteration:: [1]
%     Specify the iteration number to start from. The only effect
%     is to change the step size, as this is inversely proportional
%     to the iteration number.
%
%   StartingBias:: [0]
%     Specify the inital bias value.
% 
%   BiasLearningRate:: [1]
%     Specify the frequency of the bias learning. The default
%     setting updates the bias at each iteration.
% 
%   Permutation:: [empty]
%     Specify a permutation PERM to be used to sample the data (this
%     disables random sampling). Specifically, at the T-th iteration
%     the algorithm takes a step w.r.t. the PERM[T']-th data point,
%     where T' is T modulo the number of data samples
%     (i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
%     bijective. This allows specifying certain data points more or
%     less frequently, implicitly increasing their relative weight in
%     the error term. A common application is to balance an unbalanced
%     dataset.
%
%   DiagnosticFunction:: [empty]
%     Specify a function handle to be called every ENERGYFREQ iterations.
% 
%   DiagnosticCallRef:: [empty]
%     Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.
% 
%   EnergyFreq:: [100]
%     Specify how often the SVM energy is computed.
% 
%   HOMKERMAP:: [empty]
%     Specify the use of an Homogeneus Kernel map for the training
%     data (See [2],[3]). The passed value N is such that a 2*N+1
%     dimensional approximated kernel map is computed. Each
%     training data point is expanded online into a vector of
%     dimension 2*N+1.
%  
%   KChi2::
%     Compute the map for the Chi2 kernel.
%
%   KINTERS::
%     Compute the map for the intersection kernel.
%
%   KL1::
%     Same as KINTERS, but deprecated as the name is not fully
%     accurate.
%
%   KJS::
%     Compute the map for the JS (Jensen-Shannon) kernel.
%
%   Period:: [automatically tuned]
%     Set the period of the kernel specturm. The approximation is
%     based on periodicizing the kernel specturm. If not specified,
%     the period is automatically set based on the heuristic described
%     in [2].
%
%   Window:: [RECTANGULAR]
%     Set the window used to truncate the spectrum before The window
%     can be either RECTANGULAR or UNIFORM window. See [2] and the API
%     documentation for details.
%
%   Gamma:: [1]
%     Set the homogeneity degree of the kernel. The standard kernels
%     are 1-homogeneous, but sometimes smaller values perform better
%     in applications. See [2] for details.
% 
%   Verbose::
%     Be verbose.
%
%   Example::
%     The options StartingModel and StartingIteration can be used
%     to continue training. I.e., the command
%
%       vl_twister('state',0) ;
%       w = vl_pegasos(x,y,lambda,'NumIterations',1000) ;
%
%     produces the same result as the sequence
%
%       vl_twister('state',0) ;
%       w = vl_pegasos(x,y,lambda,'NumIterations',500) ;
%       w = vl_pegasos(x,y,lambda,'NumIterations',500, ...
%                      'StartingIteration', 501, ...
%                      'StartingModel', w) ;
%
%   REFERENCES::
%     [1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
%     A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
%     SVM. MBP, 2010.
% 
%     [2] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     Proc. CVPR, 2010.
%
%     [3] A. Vedaldi and A. Zisserman
%     `Efficient Additive Kernels via Explicit Feature Maps',
%     PAMI, 2011 (submitted).
%
%   See also: VL_HOMKERMAP(), VL_HELP().
[varargout{1:nargout}] = vl_pegasos(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/phow.m000066400000000000000000000031451203326130700175430ustar00rootroot00000000000000function varargout = phow(varargin)
% VL_PHOW  Extract PHOW features
%   [FRAMES, DESCRS] = VL_PHOW(IM) extracts PHOW features from the
%   image IM. This function is a wrapper around VL_DSIFT() and
%   VL_IMSMOOTH().
%
%   The PHOW descriptors where introduced in [1]. By default,
%   VL_PHOW() computes the gray-scale variant of the descriptor.  The
%   COLOR option can be used to compute the color variant instead.
%
%   Verbose:: [false]
%     Set to true to turn on verbose output.
%
%   Sizes:: [[4 6 8 10]]
%     Scales at which the dense SIFT features are extracted. Each
%     value is used as bin size for the VL_DSIFT() function.
%
%   Fast:: [true]
%     Set to false to turn off the fast SIFT features computation by
%     VL_DSIFT().
%
%   Step:: [2]
%     Step (in pixels) of the grid at which the dense SIFT features
%     are extracted.
%
%   Color:: [GRAY]
%     Choose between GRAY (PHOW-gray), RGB, HSV, and OPPONENT
%     (PHOW-color).
%
%   ContrastThreshold:: [0.005]
%     Contrast threshold below which SIFT features are mapped to
%     zero. The input image is scaled to have intensity range in [0,1]
%     (rather than [0,255]) and this value is compared to the
%     descriptor norm as returned by VL_DSIFT().
%
%   WindowSize:: [1.5]
%     Size of the Gaussian window in units of spatial bins.
%
%   Magnif:: [6]
%     The image is smoothed by a Gaussian kernel of standard deviation
%     SIZE / MAGNIF.
%
%   FloatDescriptors:: [false]
%     If set to TRUE, the descriptors are returned in floating point
%     format.
%
%   See also: VL_DSIFT(), VL_HELP().
[varargout{1:nargout}] = vl_phow(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/plotframe.m000066400000000000000000000025471203326130700205640ustar00rootroot00000000000000function varargout = plotframe(varargin)
% VL_PLOTFRAME  Plot feature frame
%  VL_PLOTFRAME(FRAME) plots the frames FRAME.  Frames are attributed
%  image regions (as, for example, extracted by a feature detector). A
%  frame is a vector of D=2,3,..,6 real numbers, depending on its
%  class. VL_PLOTFRAME() supports the following classes:
%
%   * POINTS
%     + FRAME(1:2)   coordinates
%
%   * CIRCLES
%     + FRAME(1:2)   center
%     + FRAME(3)     radius
%
%   * ORIENTED CIRCLES
%     + FRAME(1:2)   center
%     + FRAME(3)     radius
%     + FRAME(4)     orientation
%
%   * ELLIPSES
%     + FRAME(1:2)   center
%     + FRAME(3:5)   S11, S12, S22 such that ELLIPSE = {x: x' inv(S) x = 1}.
%
%   * ORIENTED ELLIPSES
%     + FRAME(1:2)   center
%     + FRAME(3:6)   stacking of A such that ELLIPSE = {A x : |x| = 1}
%
%  H = VL_PLOTFRAME(...) returns the handle of the graphical object
%  representing the frames.
%
%  VL_PLOTFRAME(FRAMES) where FRAMES is a matrix whose column are
%  FRAME vectors plots all frames simultaneously. Using this call is
%  much faster than calling VL_PLOTFRAME() for each frame.
%
%  VL_PLOTFRAME(FRAMES,...) passes any extra argument to the
%  underlying plot function. The first optional argument can be a line
%  specification string such as the one used by PLOT().
%
%  See also: VL_HELP().
[varargout{1:nargout}] = vl_plotframe(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/plotgrid.m000066400000000000000000000005011203326130700204030ustar00rootroot00000000000000function varargout = plotgrid(varargin)
% VL_PLOTGRID  Plot a 2-D grid
%  VL_PLOTGRID(X,Y) plots a grid with vertices (X,Y). X and Y are MxN
%  matrices, with one entry per vertex.
%
%  H=VL_PLOTGRID(...) returns the handle to the grid object.
%
%  See also: VL_HELP().
[varargout{1:nargout}] = vl_plotgrid(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/plotpoint.m000066400000000000000000000012131203326130700206100ustar00rootroot00000000000000function varargout = plotpoint(varargin)
% VL_PLOTPOINT  Plot 2 or 3 dimensional points
%   VL_PLOTPOINT(V) plots the 2 or 3 dimensional points V. V is a 2xK or
%   3xK array, with one point per column.
%
%   H=VL_PLOTPOINT(...) returns the handle H of the plot.
%
%   VL_PLOTPOINT() is a simple wrapper around the PLOT() and PLOT3()
%   functions. By default, VL_PLOTPOINT(V) plots the points with line
%   style '.'.  VL_PLOTPOINT(V,...) does not use the default line style;
%   rather it passess any extra argument to the underlying plot
%   function.
%
%   See also: PLOT(), PLOT3(), VL_HELP().
[varargout{1:nargout}] = vl_plotpoint(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/plotsiftdescriptor.m000066400000000000000000000017521203326130700225330ustar00rootroot00000000000000function varargout = plotsiftdescriptor(varargin)
% VL_PLOTSIFTDESCRIPTOR   Plot SIFT descriptor
%   VL_PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptors D, stored as
%   columns of the matrix D. D has the same format used by VL_SIFT().
%
%   VL_PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warped to
%   the SIFT frames F, specified as columns of the matrix F. F has the
%   same format used by VL_SIFT().
%
%   H=VL_PLOTSIFTDESCRIPTOR(...) returns the handle H to the line drawing
%   representing the descriptors.
%
%   REMARK. By default, the function assumes descriptors with 4x4
%   spatial bins and 8 orientation bins (Lowe's default.)
%
%   The function supports the following options
%
%   NumSpatialBins:: [4]
%     Number of spatial bins in each spatial direction.
%
%   NumOrientBins:: [8]
%     Number of orientation bis.
%
%   Magnif:: [3]
%     Magnification factor.
%
%   See also: VL_SIFT(), VL_PLOTFRAME(), VL_HELP().
[varargout{1:nargout}] = vl_plotsiftdescriptor(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/plotss.m000066400000000000000000000047651203326130700201230ustar00rootroot00000000000000function varargout = plotss(varargin)
% VL_PLOTSS Plot scale space
%   VL_PLOTSS(SS) plots the scale space SS. SS is a structure
%   with the following members:
%
%   ss.firstOctave::
%     The index of the first octave in the scale space.
%
%   ss.lastOctave::
%     The index of the last octave in the scale space.
%
%   ss.octaveResolution::
%     The octave resolution, i.e. the nubmer of subdivisions
%     per octave.
%
%   ss.octaveFirstLevel::
%     The index of the first level of subdivisions for each octave.
%
%   ss.octaveLastLevel::
%     The iundex of last leve of subdivisions for each cotave.
%
%   ss.data::
%     A cell array of 3D arrays representing the scale space data.
%     The cell array has a length equal to the nubmer of octaves
%     contained in the scale space. Each entry is a 3D array, the
%     first two dimensions of which correspond to image rows and
%     columns respectively, and the third to scale levels.
%
%   ss.sigma0::
%     Base smoothing.
%
%   A scale space is a representation of a 2D signal (image) at
%   multiple scales. In the simplest case, a scale SIGMA is defined as
%   the input image I(x,y) convolved by a Gaussian kernel of isotropic
%   standard deviation SIGMA:
%
%     I(x,y;sigma) = (g_sigma * I)(x,y)
%
%   where scales are sampled as follows:
%
%     sigma(o,s) = sigma0 2^{o + s / ss.octaveResolution),
%     ss.firstOctave <= o <= ss.lastOctave,
%     ss.octaveFirstLeve <= s <= ss.octaveLastLevel.
%
%   Moving from one octave to the next, the size of the kernel
%   doubles. Hence the effective bandwith of the signal halves, and
%   resolution can be reduced by half. Typically, for example, sigma0
%   = 1.6, so at octave 0 the image can be effectively sampled with a
%   step of 1, and the resolution of octave 0 is the same as the one
%   at which the input image is presented. Then at octave o the
%   sampling step is 2^o.
%
%   ss.octaveResolution is the number of scale subdivisions per
%   octave. ss.firstOctave and ss.lastOctave give the additional
%   flexibility of specifying a range for the level index s to exceed
%   the standard setting [0, ss.octaveResolution-1]. In this manner
%   the same scales can be represented twice, at two sampling
%   rates. This is often convenient in feature computation (e.g. to
%   find local maxima in scale of a function).
%
%   VL_PLOTSS(SS, 'Option', value) supports the following options:
%
%   Uniform:: false
%     If TRUE then use a fixed gray scale for all the levels.
[varargout{1:nargout}] = vl_plotss(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/plotstyle.m000066400000000000000000000022041203326130700206200ustar00rootroot00000000000000function varargout = plotstyle(varargin)
% VL_PLOTSTYLES  Get a plot style
%   STYLES = VL_PLOTSTYLE(INDEX) returns a cell array of PLOT() options
%   for the color/line style of index INDEX. The available styles are
%   defined the ColorOrder and LineStyleOrder properties of the
%   current axes and cycled first by color and then by line style.
%
%   If there is no current axes can be found, then VL_PLOTSTYLE() uses
%   the DefaultAxesColorOrder and DefaultLineStyleOrder root
%   properties.
%
%   If INDEXES has more than one element, then VL_PLOTSTYLE(INDEXES)
%   returns a cell array of styles of the same size of INDEXES.
%
%   Example::
%     The code fragment
%
%        set(gca,'LineStyleOrder', {'-','-.'}, 'NextPlot', 'replacechildren') ;
%        plot([1 2], [1:20 ; 1:20]') ;
%
%     and
%
%       set(gca,'NextPlot', 'replacechildren') ;
%       set(gca,'LineStyleOrder', {'-','-.'}) ;
%       for i = 1:20
%         style = vl_plotstyle(i) ;
%         plot([1 2], [i i], style{:}) ;
%         hold on ;
%       end
%
%     produce visually similar results.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_plotstyle(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/pr.m000066400000000000000000000117521203326130700172120ustar00rootroot00000000000000function varargout = pr(varargin)
%VL_PR   Precision-recall curve.
%   [RECALL, PRECISION] = VL_PR(LABELS, SCORES) computes the
%   precision-recall (PR) curve. LABELS are the ground truth labels,
%   greather than zero for a positive sample and smaller than zero for
%   a negative one. SCORES are the scores of the samples obtained from
%   a classifier, where lager scores should correspond to positive
%   samples.
%
%   Samples are ranked by decreasing scores, starting from rank 1.
%   PRECISION(K) and RECALL(K) are the precison and recall when
%   samples of rank smaller or equal to K-1 are predicted to be
%   positive and the remaining to be negative. So for example
%   PRECISION(3) is the percentage of positive samples among the two
%   samples with largest score. PRECISION(1) is the precision when no
%   samples are predicted to be positive and is conventionally set to
%   the value 1.
%
%   Set the zero the lables of samples that should be ignored in the
%   evaluation. Set to -INF the scores of samples which are not
%   retrieved. If there are samples with -INF score, then the PR curve
%   may have maximum recall smaller than 1, unless the INCLUDEINF
%   option is used (see below). The options NUMNEGATIVES and
%   NUMPOSITIVES can be used to specify additional samples with -INF
%   score (see below).
%
%   [RECALL, PRECISION, INFO] = VL_PR(...) returns an additional
%   structure INFO with the following fields:
%
%   info.auc::
%     The area under the precision-recall curve. If the INTERPOLATE
%     option is set to FALSE, then trapezoidal interpolation is used
%     to integrate the PR curve. If the INTERPOLATE option is set to
%     TRUE, then the curve is piecewise constant and no other
%     approximation is introduced in the calculation of the area. In
%     the latter case, INFO.AUC is the same as INFO.AP.
%
%   info.ap::
%     Average precision as defined by TREC. This is the average of the
%     precision observed each time a new positive sample is
%     recalled. In this calculation, any sample with -INF score
%     (unless INCLUDEINF is used) and any additional positive induced
%     by NUMPOSITIVES has precision equal to zero. If the INTERPOLATE
%     option is set to true, the AP is computed from the interpolated
%     precision and the result is the same as INFO.AUC. Note that AP
%     as defined by TREC normally does not use interpolation [1].
%
%   info.ap_interp_11::
%     11-points interpolated average precision as defined by TREC.
%     This is the average of the maximum precision for recall levels
%     greather than 0.0, 0.1, 0.2, ..., 1.0. This measure was used in
%     the PASCAL VOC challenge up to the 2008 edition.
%
%   info.auc_pa08::
%     Deprecated. It is the same of INFO.AP_INTERP_11.
%
%   VL_PR(...) with no output arguments plots the PR curve in the
%   current axis.
%
%   VL_PR() accepts the following options:
%
%   Interpolate:: false
%     If set to true, use interpolated precision. The interpolated
%     precision is defined as the maximum precision for a given recall
%     level and onwards. Here it is implemented as the culumative
%     maximum from low to high scores of the precision.
%
%   NumPositives:: []
%   NumNegatives:: []
%     If set to a number, pretend that LABELS contains this may
%     positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
%     smaller than the actual number of positive/negative entrires in
%     LABELS. The additional positive/negative labels are appended to
%     the end of the sequence, as if they had -INF scores (not
%     retrieved). This is useful to evaluate large retrieval systems
%     for which one stores ony a handful of top results for efficiency
%     reasons.
%
%   IncludeInf:: false
%     If set to true, data with -INF score SCORES is included in the
%     evaluation and the maximum recall is 1 even if -INF scores are
%     present. This option does not include any additional positive or
%     negative data introduced by specifying NUMPOSITIVES and
%     NUMNEGATIVES.
%
%   Stable:: false
%     If set to true, RECALL and PRECISION are returned the same order
%     of LABELS and SCORES rather than being sorted by decreasing
%     score (increasing recall). Samples with -INF scores are assigned
%     RECALL and PRECISION equal to NaN.
%
%   About the PR curve::
%     This section uses the same symbols used in the documentation of
%     the VL_ROC() function. In addition to those quantities, define:
%
%       PRECISION(S) = TP(S) / (TP(S) + FP(S))
%       RECALL(S) = TPR(S) = TP(S) / P
%
%     The precision is the fraction of positivie predictions which are
%     correct, and the recall is the fraction of positive labels that
%     have been correctly classified (recalled). Notice that the recall
%     is also equal to the true positive rate for the ROC curve (see
%     VL_ROC()).
%
%   REFERENCES:
%   [1] C. D. Manning, P. Raghavan, and H. Schutze. An Introduction to
%   Information Retrieval. Cambridge University Press, 2008.
%
%   See also VL_ROC(), VL_HELP().
[varargout{1:nargout}] = vl_pr(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/printsize.m000066400000000000000000000023571203326130700206210ustar00rootroot00000000000000function varargout = printsize(varargin)
% VL_PRINTSIZE  Set the print size of a figure
%   VL_PRINTSIZE(R) sets the PaperPosition property of the current
%   figure so that the width of the figure is the fraction R of a
%   'uslsetter' page. It also sets the PaperSize property to tightly
%   match the figure size. In this way, printing to any format crops
%   the figure similar to what printing to EPS would do.
%
%   VL_PRINTSIZE(FIG,R) opearates on the specified figure FIG.
%
%   This command is useful to resize a figure before printing it so
%   that elements are scaled appropriately to match the desired figure
%   size in print. The function accepts the following optional
%   arguments:
%
%   Aspect:: []
%     Change the figure aspect ratio (widht/height) to the specified
%     value.
%
%   Reference:: 'vertical'
%     If set to 'horizontal' the ratio R is the widht of the figure
%     over the width of the page. If 'vertical', the ratio R is the
%     height of the figure over the height of the page.
%
%   PaperType:: 'letter'
%     Set the type (size) of the reference paperReference. Any of the
%     paper types supported by MATLAB can be used (see PRINT())).
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_printsize(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/quickseg.m000066400000000000000000000031041203326130700203740ustar00rootroot00000000000000function varargout = quickseg(varargin)
% VL_QUICKSEG Produce a quickshift segmentation of a grayscale or color image
%   [ISEG LABELS MAPS GAPS E] = VL_QUICKSEG(I, RATIO, KERNELSIZE, MAXDIST)
%
% Produces a Quickshift segmentation of an image. See VL_QUICKSHIFT for more
% details.
%
% Inputs:
%   I           Input image, may be RGB or Grayscale. RGB images are first
%               converted to LAB.
%   RATIO       Tradeoff between spatial consistency and color consistency.
%               Small ratio gives more importance to the spatial component.
%               Note that distance calculations happen in unnormalized image
%               coordinates, so RATIO should be adjusted to compensate for
%               larger images.
%   KERNELSIZE  The standard deviation of the parzen window density estimator.
%   MAXDIST     The maximum distance between nodes in the quickshift tree. Used
%               to cut links in the tree to form the segmentation.
%
% Outputs:
%   ISEG   A color image where each pixel is labeled by the mean color in its
%          region.
%   LABELS A labeled image where the number corresponds to the cluster identity
%   MAP    MAP as returned by VL_QUICKSHIFT: For each pixel, the pointer to the
%          nearest pixel which increases the estimate of the density
%   GAPS   GAPS as returned by VL_QUICKSHIFT: For each pixel, the distance to
%          the nearest pixel which increases the estimate of the density
%   E      E as returned by VL_QUICKSHIFT: The estimate of the density
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_quickseg(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/quickshift.m000066400000000000000000000032511203326130700207360ustar00rootroot00000000000000function varargout = quickshift(varargin)
% VL_QUICKSHIFT Quick shift image segmentation
%   Quick shift is a mode seeking algorithm which links each pixel to
%   its nearest neighbor which has an increase in the estimate of the
%   density. These links form a tree, where the root of the tree is
%   the pixel which correspond to the highest mode in the image.
%
%   [MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) computes quick shift on the
%   image I. KERNELSIZE is the bandwidth of the Parzen window estimator of
%   the density. Since searching over all pixels for the nearest
%   neighbor which increases the density would be prohibitively
%   expensive, MAXDIST controls the maximum L2 distance between neighbors
%   that should be linked. MAP and GAP represent the resulting forest
%   of trees. They are array of the same size of I.  Each element
%   (pixel) of MAP is and index to the parent elemen in the forest and
%   GAP contains the corresponding branch length. Pixels which are at
%   the root of their respective tree have MAP(x) = x and GAPS(x) =
%   inf.
%
%   [MAP,GAPS,E] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) also returns the estimate
%   of the density E.
%
%   [MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE) uses a default MAXDIST of 3 * KERNELSIZE.
%
%   Notes::
%     The distance between pixels is always measured in image
%     coordinates (not normalized), so the importance of the color
%     component should be weighted accordingly before calling this
%     function.
%
%   Options:
%
%   Verbose::
%     Toggles verbose output.
%
%   Medoid::
%     Run medoid shift instead of quick shift.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_quickshift(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/quickvis.m000066400000000000000000000023601203326130700204220ustar00rootroot00000000000000function varargout = quickvis(varargin)
% VL_QUICKVIS Create an edge image from a Quickshift segmentation.
%   IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge
%   stability image from a Quickshift segmentation. RATIO controls the tradeoff
%   between color consistency and spatial consistency (See VL_QUICKSEG) and
%   KERNELSIZE controls the bandwidth of the density estimator (See VL_QUICKSEG,
%   VL_QUICKSHIFT). MAXDIST is the maximum distance between neighbors which
%   increase the density.
%
%   VL_QUICKVIS takes at most MAXCUTS thresholds less than MAXDIST, forming at
%   most MAXCUTS segmentations. The edges between regions in each of these
%   segmentations are labeled in IEDGE, where the label corresponds to the
%   largest DIST which preserves the edge.
%
%   [IEDGE,DISTS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) also
%   returns the DIST thresholds that were chosen.
%
%   IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, DISTS) will use the DISTS
%   specified
%
%   [IEDGE,DISTS,MAP,GAPS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS)
%   also returns the MAP and GAPS from VL_QUICKSHIFT.
%
%   See Also: VL_QUICKSHIFT(), VL_QUICKSEG(), VL_HELP().
[varargout{1:nargout}] = vl_quickvis(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/rcos.m000066400000000000000000000003071203326130700175310ustar00rootroot00000000000000function varargout = rcos(varargin)
% VL_RCOS RCOS function
%   Y = VL_RCOS(R,X) computes the RCOS function with roll-off R.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_rcos(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/rgb2xyz.m000066400000000000000000000010371203326130700201730ustar00rootroot00000000000000function varargout = rgb2xyz(varargin)
% VL_RGB2XYZ  Convert RGB color space to XYZ
%   J=VL_RGB2XYZ(I) converts the CIE RGB image I to the image J in
%   CIE XYZ format. CIE RGB has a white point of R=G=B=1.0
%
%   VL_RGB2XYZ(I,WS) uses the specified RGB working space WS. The
%   function supports the following RGB working spaces:
%
%   * `CIE'    E illuminant, gamma=2.2
%   * `Adobe'  D65 illuminant, gamma=2.2
%
%   The default workspace is CIE.
%
%   See also: VL_XYZ2RGB(), VL_HELP().
[varargout{1:nargout}] = vl_rgb2xyz(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/roc.m000066400000000000000000000103211203326130700173430ustar00rootroot00000000000000function varargout = roc(varargin)
%VL_ROC   ROC curve.
%   [TPR,TNR] = VL_ROC(LABELS, SCORES) computes the Receiver Operating
%   Characteristic (ROC) curve. LABELS are the ground truth labels,
%   greather than zero for a positive sample and smaller than zero for
%   a negative one. SCORES are the scores of the samples obtained from
%   a classifier, where lager scores should correspond to positive
%   labels.
%
%   Samples are ranked by decreasing scores, starting from rank 1.
%   TPR(K) and TNR(K) are the true positive and true negative rates
%   when samples of rank smaller or equal to K-1 are predicted to be
%   positive. So for example TPR(3) is the true positive rate when the
%   two samples with largest score are predicted to be
%   positive. Similarly, TPR(1) is the true positive rate when no
%   samples are predicted to be positive, i.e. the constant 0.
%
%   Set the zero the lables of samples that should be ignored in the
%   evaluation. Set to -INF the scores of samples which are not
%   retrieved. If there are samples with -INF score, then the ROC curve
%   may have maximum TPR and TNR smaller than 1.
%
%   [TPR,TNR,INFO] = VL_ROC(...) returns an additional structure INFO
%   with the following fields:
%
%   info.auc:: Area under the ROC curve (AUC).
%     The ROC curve has a `staircase shape' because for each sample
%     only TP or TN changes, but not both at the same time. Therefore
%     there is no approximation involved in the computation of the
%     area.
%
%   info.eer:: Equal error rate (EER).
%     The equal error rate is the value of FPR (or FNR) when the ROC
%     curves intersects the line connecting (0,0) to (1,1).
%
%   VL_ROC(...) with no output arguments plots the ROC curve in the
%   current axis.
%
%   VL_ROC() acccepts the following options:
%
%   Plot:: []
%     Setting this option turns on plotting unconditionally. The
%     following plot variants are supported:
%
%     tntp:: Plot TPR against TNR (standard ROC plot).
%     tptn:: Plot TNR against TPR (recall on the horizontal axis).
%     fptp:: Plot TPR against FPR.
%     fpfn:: Plot FNR against FPR (similar to DET curve).
%
%   NumPositives:: []
%   NumNegatives:: []
%     If set to a number, pretend that LABELS contains this may
%     positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
%     smaller than the actual number of positive/negative entrires in
%     LABELS. The additional positive/negative labels are appended to
%     the end of the sequence, as if they had -INF scores (not
%     retrieved). This is useful to evaluate large retrieval systems in
%     which one stores ony a handful of top results for efficiency
%     reasons.
%
%   About the ROC curve::
%     Consider a classifier that predicts as positive all samples whose
%     score is not smaller than a threshold S. The ROC curve represents
%     the performance of such classifier as the threshold S is
%     changed. Formally, define
%
%       P = overall num. of positive samples,
%       N = overall num. of negative samples,
%
%     and for each threshold S
%
%       TP(S) = num. of samples that are correctly classified as positive,
%       TN(S) = num. of samples that are correctly classified as negative,
%       FP(S) = num. of samples that are incorrectly classified as positive,
%       FN(S) = num. of samples that are incorrectly classified as negative.
%
%     Consider also the rates:
%
%       TPR = TP(S) / P,      FNR = FN(S) / P,
%       TNR = TN(S) / N,      FPR = FP(S) / N,
%
%     and notice that by definition
%
%       P = TP(S) + FN(S) ,    N = TN(S) + FP(S),
%       1 = TPR(S) + FNR(S),   1 = TNR(S) + FPR(S).
%
%     The ROC curve is the parametric curve (TPR(S), TNR(S)) obtained
%     as the classifier threshold S is varied in the reals. The TPR is
%     also known as recall (see VL_PR()).
%
%     The ROC curve is contained in the square with vertices (0,0) The
%     (average) ROC curve of a random classifier is a line which
%     connects (1,0) and (0,1).
%
%     The ROC curve is independent of the prior probability of the
%     labels (i.e. of P/(P+N) and N/(P+N)).
%
%   REFERENCES:
%   [1] http://en.wikipedia.org/wiki/Receiver_operating_characteristic
%
%   See also: VL_PR(), VL_DET(), VL_HELP().
[varargout{1:nargout}] = vl_roc(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/rodr.m000066400000000000000000000013471203326130700175360ustar00rootroot00000000000000function varargout = rodr(varargin)
% VL_RODR  Rodrigues' formula
%   R = VL_RODR(OM) where OM a 3-dimensional column vector computes the
%   Rodrigues' formula of OM, returning the rotation matrix R =
%   expm(vl_hat(OM)).
%
%   [R,DR] = VL_RODR(OM) computes also the derivative of the Rodrigues
%   formula. In matrix notation this is the expression
%
%           d(vec expm(vl_hat(OM)) )
%     dR = ----------------------.
%                  d om^T
%
%   [R,DR]=VL_RODR(OM) when OM is a 3xK matrix repeats the operation for
%   each column (or equivalently matrix with 3*K elements). In this
%   case R and DR are arrays with K slices, one per rotation.
%
%   See also: VL_IRODR(), VL_HELP().
[varargout{1:nargout}] = vl_rodr(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/sampleinthist.m000066400000000000000000000015241203326130700214510ustar00rootroot00000000000000function varargout = sampleinthist(varargin)
% VL_SAMPLINTHIST  Sample integral histogram
%   HISTS = VL_SAMPLINTHIST(INTHIST, BOXES) samples the integral
%   histogram INTHIST to obtain the histograms of the specified
%   BOXES.
%
%   INTHIST is a MxNxK array, where M x N are ``spatial'' dimensions,
%   and K is the number of histogram bins. INTHIST may be of class
%   UINT32 or DOUBLE.
%
%   Each box is a four dimensional vector [IMIN JMIN IMAX JMAX]' of
%   class UINT32 and correspond to the index set [IMIN, IMAX] x [JMIN,
%   JMAX]. To specify an empty box, let IMIN > IMAX.
%
%   HISTS stores one histogram per column (one for each box) and has K
%   rows, one for each histogram bin. HIST is of the same class of
%   INTHIST.
%
%   See also: VL_INTHIST(), VL_IMINTEGRAL(), VL_HELP().
[varargout{1:nargout}] = vl_sampleinthist(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/sift.m000066400000000000000000000045111203326130700175310ustar00rootroot00000000000000function varargout = sift(varargin)
% VL_SIFT  Scale-Invariant Feature Transform
%   F = VL_SIFT(I) computes the SIFT frames [1] (keypoints) F of the
%   image I. I is a gray-scale image in single precision. Each column
%   of F is a feature frame and has the format [X;Y;S;TH], where X,Y
%   is the (fractional) center of the frame, S is the scale and TH is
%   the orientation (in radians).
%
%   [F,D] = VL_SIFT(I) computes the SIFT descriptors [1] as well. Each
%   column of D is the descriptor of the corresponding frame in F. A
%   descriptor is a 128-dimensional vector of class UINT8.
%
%   VL_SIFT() accepts the following options:
%
%   Octaves:: [maximum possible]
%     Set the number of octave of the DoG scale space.
%
%   Levels:: [3]
%     Set the number of levels per octave of the DoG scale space.
%
%   FirstOctave:: [0]
%     Set the index of the first octave of the DoG scale space.
%
%   PeakThresh:: [0]
%     Set the peak selection threshold.
%
%   EdgeThresh:: [10]
%     Set the non-edge selection threshold.
%
%   NormThresh:: [-inf]
%     Set the minimum l2-norm of the descriptors before
%     normalization. Descriptors below the threshold are set to zero.
%
%   Magnif:: [3]
%     Set the descriptor magnification factor. The scale of the
%     keypoint is multiplied by this factor to obtain the width (in
%     pixels) of the spatial bins. For instance, if there are there
%     are 4 spatial bins along each spatial direction, the
%     ``side'' of the descriptor is approximatively 4 * MAGNIF.
%
%   WindowSize:: [2]
%     Set the variance of the Gaussian window that determines the
%     descriptor support. It is expressend in units of spatial
%     bins.
%
%   Frames:: [not specified]
%     If specified, set the frames to use (bypass the detector). If
%     frames are not passed in order of increasing scale, they are
%     re-orderded.
%
%   Orientations::
%     If specified, compute the orietantions of the frames overriding
%     the orientation specified by the 'Frames' option.
%
%   Verbose::
%     If specfified, be verbose (may be repeated to increase the
%     verbosity level).
%
%   REFERENCES::
%     [1] D. G. Lowe, Distinctive image features from scale-invariant
%     keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.
%
%   See also: VL_UBCMATCH(), VL_DSIFT(), VL_HELP().
[varargout{1:nargout}] = vl_sift(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/siftdescriptor.m000066400000000000000000000041051203326130700216270ustar00rootroot00000000000000function varargout = siftdescriptor(varargin)
% VL_SIFTDESCRIPTOR  Raw SIFT descriptor
%   D = VL_SIFTDESCRIPTOR(GRAD, F) calculates the SIFT descriptors of
%   the keypoints F on the pre-processed image GRAD. GRAD is a 2xMxN
%   array. The first layer GRAD(1,:,:) contains the modulus of
%   gradient of the original image modulus. The second layer
%   GRAD(2,:,:) contains the gradient angle (measured in radians,
%   clockwise, starting from the X axis -- this assumes that the Y
%   axis points down). The matrix F contains one column per keypoint
%   with the X, Y, SGIMA and ANLGE parameters.
%
%   In order to match the standard SIFT descriptor, the gradient GRAD
%   should be calculated after mapping the image to the keypoint
%   scale. This is obtained by smoothing the image by a a Gaussian
%   kernel of variance equal to the scale of the keypoint.
%   Additionaly, SIFT assumes that the input image is pre-smoothed at
%   scale 0.5 (this roughly compensates for the effect of the CCD
%   integrators), so the amount of smoothing that needs to be applied
%   is slightly less. The following code computes a standard SIFT
%   descriptor by using VL_SIFTDESCRIPTOR():
%
%     I_       = vl_imsmooth(im2double(I), sqrt(f(3)^2 - 0.5^2)) ;
%     [Ix, Iy] = vl_grad(I_) ;
%     mod      = sqrt(Ix.^2 + Iy.^2) ;
%     ang      = atan2(Iy,Ix) ;
%     grd      = shiftdim(cat(3,mod,ang),2) ;
%     grd      = single(grd) ;
%     d        = vl_siftdescriptor(grd, f) ;
%
%   Remark::
%     The above fragment generates results which are very close
%     but not identical to the output of VL_SIFT() as the latter
%     samples the scale space at finite steps.
%
%   Remark::
%     For object categorization is sometimes useful to compute
%     SIFT descriptors without smoothing the image.
%
%   Options:
%
%   Magnif:: [3]
%     Magnification factor (see VL_SIFT()).
%
%   NormThresh:: [-inf]
%     Set the minimum l2-norm of the descriptors before
%     normalization. Descriptors below the threshold are set to zero.
%
%  See also: VL_SIFT(), VL_HELP().
[varargout{1:nargout}] = vl_siftdescriptor(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/sigmoid.m000066400000000000000000000007121203326130700202160ustar00rootroot00000000000000function varargout = sigmoid(varargin)
% VL_SIGMOID Sigmoid function
%   Y = VL_SIGMOID(X) returns
%
%    Y = 1 ./ (1 + EXP(X)) ;
%
%   Remark::
%     Useful properties of the sigmoid function are:
%
%     -  1 - VL_SIGMOID(X) = VL_SIGMOID(-X)
%     -  Centered sigmoid: 2 * VL_SIGMOID(X) - 1 ;
%     -  VL_SIGMOID(X) = (EXP(X/2) - EXP(X/2)) / (EXP(X/2) + EXP(X/2))
%
%   See also: VL_DSIGMOID(), VL_HELP().
[varargout{1:nargout}] = vl_sigmoid(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/simdctrl.m000066400000000000000000000005501203326130700204040ustar00rootroot00000000000000function varargout = simdctrl(varargin)
% VL_SIMDCTRL  Toggle VLFeat SIMD optimizations
%   VL_SIMDCTRL() returns TRUE if VLFeat SIMD optimizations are enabled
%   and FALSE otherwise.
%
%   VL_SIMDCTRL(TRUE) enables VLFeat SIMD optimizations. VL_SIMDCTRL(FALSE)
%   disables them.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_simdctrl(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/slic.m000066400000000000000000000022421203326130700175150ustar00rootroot00000000000000function varargout = slic(varargin)
% VL_SLIC  SLIC superpixels
%   SEGMENTS = VL_SLIC(IM, REGIONSIZE, REGULARIZER) extracts the SLIC
%   superpixes [1] from image IM. REGIONSIZE is the starting size of
%   the superpixels and REGULARIZER is the trades-off appearance for
%   spatial regularity when clustering (a larger value results in more
%   spatial regularization). SEGMENTS is a UINT32 array containing the
%   superpixel identifier for each image pixel.
%
%   The image IM is a SINGLE array with two or three dimensions. The
%   third dimension is arbitrary, but it is usually three for RGB or
%   LAB images.
%
%   VL_SLIC() accepts the following options:
%
%   Verbose::
%     Be verbose.
%
%   MinRegionSize:: (1/6 of REGIONSIZE)^2
%     The minimum size (in pixel area) of the extracted
%     superpixels.
%
%   Example::
%     If IM contains an RGB images, the SLIC superpixels can be
%     extracted as:
%
%   REFERENCES::
%     [1] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and
%     S. Susstrunk. SLIC superpixels. Technical report, EPFL, 2010.
%
%   See also:: http://www.vlfeat.org/doc/api/slic.html, VL_HELP().
[varargout{1:nargout}] = vl_slic(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/svmpegasos.m000066400000000000000000000120341203326130700207520ustar00rootroot00000000000000function varargout = svmpegasos(varargin)
% VL_SVMPEGASOS PEGASOS linear SVM solver
%   W = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W given training
%   struct DATA, and the regularization parameter LAMBDA using the
%   PEGASOS [1] solver. The algorithm finds a minimizer W of the
%   objective function
%
%     LAMBDA/2 |W|^2 + 1/N SUM_i LOSS(W, X(:,i), Y(i))
%
%   where LOSS(W,X,Y) = MAX(0, 1 - Y W'X) is the hinge loss and N is
%   the number of training vectors in X.
%
%   The training struct DATA is created using the function
%   VL_MAKETRAININGSET.
% 
%   [W B INFO] = VL_SVMPEGASOS(DATA, LAMBDA) learns a linear SVM W
%   and a bias B given training struct DATA, and the regularization
%   parameter LAMBDA using the PEGASOS [1] solver. INFO is a struct
%   containing the input parameters plus diagnostic informations:
% 
%   energy::
%     SVM energy value.
% 
%   iterations::
%     Number of iterations performed.
% 
%   elapseTime::
%     Elapsed time since the start of the SVM learning.
% 
%   regulizerTerm::
%     Value of the SVM regulizer term.
% 
%   lossPos::
%     Value of loss function only for data points labeled positives.
% 
%   lossNeg::
%     Value of loss function onlt for data points labeled negatives.
% 
%   hardLossPos::
%     Number of mislabeled positive points.
% 
%   hardLossNeg::
%     Number of mislabeled negative points.
%   
%   ALGORITHM. PEGASOS is an implementation of stochastic subgradient
%   descent. At each iteration a data point is selected at random, the
%   subgradient of the cost function relative to that data point is
%   computed, and a step is taken in that direction. The step size is
%   inversely proportional to the iteration number. See [1] for
%   details.
%
%   VL_SVMPEGASOS() accepts the following options:
% 
%   Epsilon:: [empty]
%     Specify the SVM stopping criterion threshold. If not
%     specified VL_SVMPEGASOS will finish when the maximum number
%     of iterations is reached. The stopping criterion is tested
%     after each ENERGYFREQ iteration. 
% 
%   MaxIterations:: [10 / LAMBDA]
%     Sets the maximum number of iterations.
%
%   BiasMultiplier:: [0]
%     Appends to the data X the specified scalar value B. This
%     approximates the training of a linear SVM with bias.  
%
%   StartingModel:: [null vector]
%     Specify the initial value for the weight vector W.
%
%   StartingIteration:: [1]
%     Specify the iteration number to start from. The only effect
%     is to change the step size, as this is inversely proportional
%     to the iteration number.
%
%   StartingBias:: [0]
%     Specify the inital bias value.
% 
%   BiasLearningRate:: [1]
%     Specify the frequency of the bias learning. The default
%     setting updates the bias at each iteration.
% 
%   Permutation:: [empty]
%     Specify a permutation PERM to be used to sample the data (this
%     disables random sampling). Specifically, at the T-th iteration
%     the algorithm takes a step w.r.t. the PERM[T']-th data point,
%     where T' is T modulo the number of data samples
%     (i.e. MOD(T'-1,NUMSAMPLES)+1). PERM needs not to be
%     bijective. This allows specifying certain data points more or
%     less frequently, implicitly increasing their relative weight in
%     the error term. A common application is to balance an unbalanced
%     dataset.
%
%   DiagnosticFunction:: [empty] 
%     Specify a function handle to be called every ENERGYFREQ
%     iterations.
%     The function must be of the form:
%       
%       function o = diagnostics(svm,x)
%     
%     Where in the first iteration x is the variable passed as 
%     "DiagnosticCallRef", and the consecutive ones x is the
%     variable o returned in the previous iteration.
% 
%   DiagnosticCallRef:: [empty]
%     Specify a paramater to be passed to the DIAGNOSTICFUNCTION handle.
% 
%   EnergyFreq:: [100]
%     Specify how often the SVM energy is computed.
% 
%   ValidationData::
%     Specify a validation dataset. The validation dataset must be
%     created using VL_MAKETRAININGSET. If specified, the energy
%     value and all the diagnostic informations are computed on the
%     validation dataset, otherwise the training dataset is used.
%
%   Verbose::
%     Be verbose.
%
%   Example::
%     The options StartingModel and StartingIteration can be used
%     to continue training. I.e., the command
%
%       vl_twister('state',0) ;
%       dataset = vl_maketrainingset(x,y) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',1000) ;
%
%     produces the same result as the sequence
%
%       vl_twister('state',0) ;
%       dataset = vl_maketrainingset(x,y) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',500) ;
%       w = vl_svmpegasos(dataset,lambda,'NumIterations',500, ...
%                      'StartingIteration', 501, ...
%                      'StartingModel', w) ;
%
%   REFERENCES::
%     [1] S. Shalev-Shwartz, Y. Singer, N. Srebro, and
%     A. Cotter. Pegasos: Primal Estimated sub-GrAdient SOlver for
%     SVM. MBP, 2010.
%
%   See also: VL_MAKETRAININGSET(), VL_HOMKERMAP(), VL_HELP().
[varargout{1:nargout}] = vl_svmpegasos(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/test.m000066400000000000000000000011701203326130700175410ustar00rootroot00000000000000function varargout = test(varargin)
% VL_TEST  Run test suite
%  RESULTS = VL_TEST() runs all VLFeat test suites. The tests
%  verify that VLFeat is working correctly.
%
%  RESULTS is a structure listing the result of each test.
%  It has fileds:
%
%  TESTNAME:   name of the test
%  SUCCEDED:   a boolean flag indicating whether the test succeded
%  EXCEPTION:  the exception generated if the test failed
%
%  VL_TEST(SUITE) runs only the specified SUITE.
%
%  VL_TEST(SUITE, TEST) runs the specified SUITE/TEST without catching
%  the potential exception. Useful to DBSTOP to debug.
[varargout{1:nargout}] = vl_test(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/tightsubplot.m000066400000000000000000000026031203326130700213140ustar00rootroot00000000000000function varargout = tightsubplot(varargin)
% VL_TIGHTSUBPLOT  Tiles axes without wasting space
%   H = VL_TIGHTSUBPLOT(K,P) returns an handle to the P-th axis in a
%   regular grid of K axes. The K axes are numbered from left to right
%   and from top to bottom.  The function operates similarly to
%   SUBPLOT(), but by default it does not put any margin between
%   axes. This is done by tiling the axes inner box rather than the
%   axes outer box.
%
%   H = VL_TIGHTSUBPLOT(M,N,P) retursn an handle to the P-th axes in a
%   regular subdivision with M rows and N columns.
%
%   VL_TIGHTSUBPLOT() accepts the following options:
%
%   Margin:: [0]
%   MarginLeft:: [0]
%   MarginRight:: [0]
%   MarginTop:: [0]
%   MarginBottom:: [0]
%     Set the axes inner box margin, either uniformly in all
%     directions, or specifically to the left, right, top or bottom.
%
%   Box:: [0]
%     If set to 'outer', tile the axes outer box, thus protecting
%     title and labels. Unfortunately this usually produces
%     unnecesarily large margins.
%
%   Spacing:: [0] (legacy option)
%     Set extra spacing between axes.  The space is added between the
%     inner or outer boxes, depending on the setting below.
%
%   REMARK. While SUBPLOT kills any pre-existing axes that overalps a
%   new one, this function does not.
%
%   See also: SUBPLOT(), VL_HELP().
[varargout{1:nargout}] = vl_tightsubplot(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/tpfp.m000066400000000000000000000004031203326130700175310ustar00rootroot00000000000000function varargout = tpfp(varargin)
% VL_TPFP  Compute true positives and false positives
%  This is an helper function used by VL_PR(), VL_ROC(), VL_DET().
%
%  See also: VL_PR(), VL_ROC(), VL_DET(), VL_HELP().
[varargout{1:nargout}] = vl_tpfp(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/tps.m000066400000000000000000000014261203326130700173740ustar00rootroot00000000000000function varargout = tps(varargin)
% VL_TPS  Compute the thin-plate spline basis
%   PHI=VL_TPS(X1,X2,Y) returns the basis PHI of a thin-plate spline
%   (TPS) defined on the domain X1,X2 with control points Y.
%
%   X1 and X2 are MxN matrices specifying the grid vertices.  When
%   warping images, these usually correspond to image pixels.
%
%   Y is a 2xK matrix specifying the control points, one per
%   column. Ofthen Y is a subset of the domain X1,X2, but this is not
%   required.
%
%   PHI is a (K+3)xNxM matrix, with one layer per basis element. Each
%   basis element is a function of the domain X1,X2.
%
%   [PHI,S] = VL_TPS(X1,X2,Y) additionally returns the stiffness matrix S
%   of the TPS.
%
%   See also: VL_WTPS(), VL_HELP().
[varargout{1:nargout}] = vl_tps(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/tpsu.m000066400000000000000000000013701203326130700175570ustar00rootroot00000000000000function varargout = tpsu(varargin)
% VL_TPSU  Compute the U matrix of a thin-plate spline transformation
%   U=VL_TPSU(X,Y) returns the matrix
%
%   [ U(|X(:,1) - Y(:,1)|) ... U(|X(:,1) - Y(:,N)|) ]
%   [                                               ]
%   [ U(|X(:,M) - Y(:,1)|) ... U(|X(:,M) - Y(:,N)|) ]
%
%   where X is a 2xM matrix and Y a 2xN matrix of points and U(r) is
%   the opposite -r^2 log(r^2) of the radial basis function of the
%   thin plate spline specified by X and Y.
%
%   [U,dU]=vl_tpsu(x,y) returns the derivatives of the columns of U with
%   respect to the parameters Y. The derivatives are arranged in a
%   Mx2xN array, one layer per column of U.
%
%   See also: VL_TPS(), VL_HELP().
[varargout{1:nargout}] = vl_tpsu(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/twister.m000066400000000000000000000021161203326130700202640ustar00rootroot00000000000000function varargout = twister(varargin)
% VL_TWISTER Random number generator
%    VL_TWISTER() is essentially equivalent to MATLAB native RAND()
%    when using the Twister random number generator. VL_TWISTER(),
%    VL_TWISTER(M,N,P,...)  and VL_TWISTER([M N P ...]) are equivalent
%    to RAND(), RAND(M,N,P,...)  and RAND([M N P ...]) respectively.
%
%    The state of the random generator can be seeded by
%    VL_TWISTER('STATE', X), where X is a DOUBLE scalar (this is
%    equivalent to RAND('TWISTER', X)). The state can be read by
%    VL_TWISTER('STATE') (equivalent to RAND('TWISTER')) and set by
%    VL_TWISTER('STATE', STATE) (equivalent to RAND('TWISTER',
%    STATE)). Here STATE is a vector of 625 elements of class
%    UINT32. Finally VL_TWISTER('STATE',KEY) seeds the generator by a
%    vector of DOUBLE of length not greater than 624.
%
%    VL_TWISTER() is slightly faster than RAND(). Moreover it can be
%    used to control the state of the random number generator used by
%    all VLFEAT functions.
%
%    See also: VL_HELP().
[varargout{1:nargout}] = vl_twister(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ubcmatch.m000066400000000000000000000020721203326130700203520ustar00rootroot00000000000000function varargout = ubcmatch(varargin)
% VL_UBCMATCH  Match SIFT features
%   MATCHES = VL_UBCMATCH(DESCR1, DESCR2) matches the two sets of SIFT
%   descriptors DESCR1 and DESCR2.
%
%   [MATCHES,SCORES] = VL_UBCMATCH(DESCR1, DESCR2) retuns the matches and
%   also the squared Euclidean distance between the matches.
%
%   The function uses the algorithm suggested by D. Lowe [1] to reject
%   matches that are too ambiguous.
%
%   VL_UBCMATCH(DESCR1, DESCR2, THRESH) uses the specified threshold
%   THRESH. A descriptor D1 is matched to a descriptor D2 only if the
%   distance d(D1,D2) multiplied by THRESH is not greater than the
%   distance of D1 to all other descriptors. The default value of
%   THRESH is 1.5.
%
%   The storage class of the descriptors can be either DOUBLE, FLOAT,
%   INT8 or UINT8. Usually integer classes are faster.
%
%   REFERENCES::
%     [1] D. G. Lowe, Distinctive image features from scale-invariant
%     keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.
%
%   See also: VL_HELP(), VL_SIFT().
[varargout{1:nargout}] = vl_ubcmatch(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/ubcread.m000066400000000000000000000007301203326130700201700ustar00rootroot00000000000000function varargout = ubcread(varargin)
% SIFTREAD Read Lowe's SIFT implementation data files
%   [F,D] = VL_UBCREAD(FILE) reads the frames F and the descriptors D
%   from FILE in UBC (Lowe's original implementation of SIFT) format
%   and returns F and D as defined by VL_SIFT().
%
%   VL_UBCREAD(FILE, 'FORMAT', 'OXFORD') assumes the format used by
%   Oxford VGG implementations .
%
%   See also: VL_SIFT(), VL_HELP().
[varargout{1:nargout}] = vl_ubcread(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/waffine.m000066400000000000000000000007221203326130700202030ustar00rootroot00000000000000function varargout = waffine(varargin)
% VL_WAFFINE  Apply affine transformation to points
%  Y = VL_WAFFINE(A,T,X) applies the affine transformatio (A,T) to points
%  X. X contains one point per column.
%
%  [Y1,Y2,...] = VL_WAFFINE(A,T,X1,X2,...) applies the affine
%  transformation (A,T) to the points (X1,X2,...). Each array
%  X1,X2,... contains one of the coordinates of the points.
%
%  See also: VL_HELP().
[varargout{1:nargout}] = vl_waffine(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/whistc.m000066400000000000000000000004561203326130700200710ustar00rootroot00000000000000function varargout = whistc(varargin)
% VL_WHISTC Weighted histogram
%   H = VL_WHISTC(X,W,EDGES) behaves exactly like HISTC(X,EDGES), but
%   weights the samples X by W. Samples that have NaN weight are
%   skipped.
%
%   See also: HITSC(), VL_HELP().
[varargout{1:nargout}] = vl_whistc(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/witps.m000066400000000000000000000010371203326130700177320ustar00rootroot00000000000000function varargout = witps(varargin)
% VL_WITPS  Inverse thin-plate spline warping
%   [X1,X2]=VL_WITPS(XP1,XP2,Y,Yp) computes the inverse thin-plate spline
%   (TPS) warp of the points XP1,XP2.
%
%   Remark::
%     The inverse of a thin-plate spline in general is NOT a
%     thin-plate spline and some splines do not have an inverse.  This
%     function uses Gauss-Newton to compute a set of points (X1,X2)
%     such that [XP1,XP2]=VL_WTPS(X1,X2,Y,Yp).
%
%   See also: VL_WTPS(), VL_HELP().
[varargout{1:nargout}] = vl_witps(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/wtps.m000066400000000000000000000017471203326130700175710ustar00rootroot00000000000000function varargout = wtps(varargin)
% VL_WTPS  Thin-plate spline warping
%   [XP1,XP2]=VL_WTPS(PHI,YP) computes the thin-plate spline (TPS)
%   specified by the basis PHI and the warped control point Yp.
%
%   Yp is a 2xK matrix with one column per control point and the basis
%   PHI is calculated by means of the VL_TPS function.
%
%   The thin-palte spline is defined on a domain X1,X2 and specified
%   by a set of points Y and their warp YP. The spline passes
%   interpolates exaclty the control points.
%
%   The parameters X1,X2 and Y are used to compute the basis PHI. This
%   operation is fairily slow, but computing the spline for a given Yp
%   is then very quick, as the operation is just a linear combination
%   of the basis.
%
%   Example::
%     To calculate the warped grid [X1,X2] by moving the control points Y to
%     the control points YP use:
%       [xp1,xp2]=VL_WTPS(VL_TPS(x1,x2,Y),Yp).
%
%   See also: VL_TPS(), VL_HELP().
[varargout{1:nargout}] = vl_wtps(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/xmkdir.m000066400000000000000000000013121203326130700200560ustar00rootroot00000000000000function varargout = xmkdir(varargin)
% VL_XMKDIR  Create a directory recursively.
%   VL_XMKDIR(PATH) creates all directory specified by PATH if they
%   do not exist (existing directories are skipped).
%
%   The function is meant as a silent replacement of MATLAB's builtin
%   MKDIR() function. It can also be used to show more clearly what
%   directories are or would be created by the command.
%
%   The function accepts the following options:
%
%   Pretend:: false
%     If TRUE the function does not create any directoty (implies
%     'Verbose').
%
%   Verbose:: false
%     If TRUE the function prints the operations performed.
%
%   See also: VL_HELP().
[varargout{1:nargout}] = vl_xmkdir(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/xyz2lab.m000066400000000000000000000005601203326130700201570ustar00rootroot00000000000000function varargout = xyz2lab(varargin)
% VL_XYZ2LAB  Convert XYZ color space to LAB
%   J = VL_XYZ2LAB(I) converts the image from XYZ format to LAB format.
%
%   VL_XYZ2LAB(I,IL) uses one of the illuminants A, B, C, E, D50, D55,
%   D65, D75, D93. The default illuminatn is E.
%
%   See also: VL_XYZ2LUV(), VL_HELP().
[varargout{1:nargout}] = vl_xyz2lab(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/xyz2luv.m000066400000000000000000000006741203326130700202350ustar00rootroot00000000000000function varargout = xyz2luv(varargin)
% VL_XYZ2LUV  Convert XYZ color space to LUV
%   J = VL_XYZ2LUV(I) converts the image I in XYZ format to the image J
%   in Luv format.
%
%   J = VL_XYZ2LUV(I,IL) uses the specified illuminant. The following
%   illuminant are supported: A, B, C, E, D50, D55, D65, D75, D93.  IL
%   is the name of the illuminant.
%
%   See also: VL_XYZ2LAB(), VL_HELP().
[varargout{1:nargout}] = vl_xyz2luv(varargin{:});
vlfeat-0.9.16/toolbox/noprefix/xyz2rgb.m000066400000000000000000000006261203326130700201760ustar00rootroot00000000000000function varargout = xyz2rgb(varargin)
% VL_XYZ2RGB  Convert XYZ to RGB
%   J = VL_XYZ2RGB(I) the XYZ image I in RGB format.
%
%   VL_XYZ2RGB(I,WS) uses the RGB workspace WS. WS is a string in
%
%   - CIE:    E illuminant and 2.2 gamma
%   - Adobe:  D65 illuminant and 2.2 gamma
%
%   The default workspace is CIE.
%
%   See also: VL_RGB2XYZ(), VL_HELP().
[varargout{1:nargout}] = vl_xyz2rgb(varargin{:});
vlfeat-0.9.16/toolbox/plotop/000077500000000000000000000000001203326130700160705ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/plotop/vl_cf.m000066400000000000000000000012221203326130700173340ustar00rootroot00000000000000function h = vl_cf(h0)
% VL_CF Creates a copy of a figure
%   VL_CF() creates a copy of the current figure and returns VL_CF(H0)
%   creates a copy of the figure(s) whose handle is H0.  H =
%   VL_CF(...) returns the handles of the copies.
%
%   See also: VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin < 1
  h0 = gcf ;
end

h=zeros(size(h0)) ;
for i=1:numel(h0)
  h(i) = copyobj(h0(i),get(h0(i),'Parent')) ;
end

if nargout < 1
  clear h ;
end
vlfeat-0.9.16/toolbox/plotop/vl_click.m000066400000000000000000000051451203326130700200410ustar00rootroot00000000000000function P = vl_click(N,varargin) ;
% VL_CLICK  Click a point
%  P=VL_CLICK() let the user click a point in the current figure and
%  returns its coordinates in P. P is a two dimensiona vectors where
%  P(1) is the point X-coordinate and P(2) the point Y-coordinate. The
%  user can abort the operation by pressing any key, in which case the
%  empty matrix is returned.
%
%  P=VL_CLICK(N) lets the user select N points in a row. The user can
%  stop inserting points by pressing any key, in which case the
%  partial list is returned.
%
%  VL_CLICK() accepts the following options:
%
%  PlotMarker:: [0]
%    Plot a marker as points are selected. The markers are deleted on
%    exiting the function.
%
%  See also: VL_CLICKPOINT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

plot_marker = 0 ;
for k=1:2:length(varargin)
  switch lower(varargin{k})
    case 'plotmarker'
      plot_marker = varargin{k+1} ;
    otherwise
      error(['Uknown option ''', varargin{k}, '''.']) ;
  end
end

if nargin < 1
  N=1;
end

% --------------------------------------------------------------------
%                                                               Do job
% --------------------------------------------------------------------

fig = gcf ;

is_hold = ishold ;
hold on ;

bhandler = get(fig,'WindowButtonDownFcn') ;
khandler = get(fig,'KeyPressFcn') ;
pointer  = get(fig,'Pointer') ;

set(fig,'WindowButtonDownFcn',@click_handler) ;
set(fig,'KeyPressFcn',@key_handler) ;
set(fig,'Pointer','crosshair') ;

P=[] ;
h=[] ;
data.exit=0;
guidata(fig,data) ;
while size(P,2) < N
  uiwait(fig) ;
  data = guidata(fig) ;
  if(data.exit)
    break ;
  end
  P = [P data.P] ;
  if( plot_marker )
    h=[h plot(data.P(1),data.P(2),'rx')] ;
  end
end

if ~is_hold
  hold off ;
end

if( plot_marker )
  pause(.1);
  delete(h) ;
end

set(fig,'WindowButtonDownFcn',bhandler) ;
set(fig,'KeyPressFcn',khandler) ;
set(fig,'Pointer',pointer) ;

% ====================================================================
function click_handler(obj,event)
% --------------------------------------------------------------------
data = guidata(gcbo) ;

P = get(gca, 'CurrentPoint') ;
P = [P(1,1); P(1,2)] ;

data.P = P ;
guidata(obj,data) ;
uiresume(gcbo) ;

% ====================================================================
function key_handler(obj,event)
% --------------------------------------------------------------------
data = guidata(gcbo) ;
data.exit = 1 ;
guidata(obj,data) ;
uiresume(gcbo) ;
vlfeat-0.9.16/toolbox/plotop/vl_clickpoint.m000066400000000000000000000037171203326130700211160ustar00rootroot00000000000000function sel = vl_clickpoint(V,N,varargin)
% VL_CLICKPOINT  Select a point by clicking
%   SEL = VL_CLICKPOINT(V) let the user vl_click a point in the current
%   figure and returns the index v of the closest point (in Euclidean
%   norm) in the collection V. The 2xK matrix V has a a column for
%   each point.
%
%   The user can abort the operation by pressing any key. In this case
%   the function returns the empty matrix.
%
%   VL_CLICKPOINT(V,N) selects N points in a row. The user can stop the
%   selection at any time by pressing any key. In this case the
%   partial selection is returned. This can be used in combination
%   with N=inf to get an arbitrary number of points.
%
%   VL_CLICKPOINT() accepts the following options:
%
%   PlotMarker:: [0]
%     Put a marker as points are selected. The markers are deleted on
%     exiting the function.
%
%   See also: VL_CLICK(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

plot_marker = 0 ;
for k=1:2:length(varargin)
  switch lower(varargin{k})
    case 'plotmarker'
      plot_marker = varargin{k+1} ;
    otherwise
      error(['Uknown option ''', varargin{k}, '''.']) ;
  end
end

if nargin < 2
  N=1;
end

if size(V,1) ~= 2
  error('Array V should be 2xK') ;
end

% --------------------------------------------------------------------
%                                                               Do job
% --------------------------------------------------------------------

fig = gcf ;
is_hold = ishold(fig) ;
hold on ;

sel = [] ;
h = [] ;
for n=1:N
  P=vl_click ;
  if ~isempty( P )
    d = (V(1,:)-P(1)).^2 + (V(2,:)-P(2)).^2;
    [drop,v]=min(d(:)) ;
    if(plot_marker)
      h=[h plot(V(1,v),V(2,v),'go')] ;
    end
    sel = [sel v] ;
  else
    return ;
  end
end

if ~is_hold
  hold off ;
end

if( plot_marker )
  pause(.1);
  delete(h) ;
end
vlfeat-0.9.16/toolbox/plotop/vl_clicksegment.m000066400000000000000000000015231203326130700214200ustar00rootroot00000000000000function [P1,P2] = vl_clicksegment
% VL_CLICKSEGMENT  Select a segment by clicking
%  [P1,P2] = VL_CLICKSEGMENT() lets the user select a segment in the
%  current figure and returns the starting and ending point P1 and P2.
%
%  The user can abort the operation by pressing any key. In this case
%  the function returns the empty matrix.
%
%  See also: VL_CLICK(), VL_CLICKPOINT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% Click first segment
P1=vl_click ;
if isempty(P1)
  P2=P1 ;
  return ;
end

was_hold = ishold(gca) ;
hold on ;
h=plot(P1(1),P1(2),'rx') ;

% Click second segment
P2=vl_click ;
if isempty(P2)
  P1=P2 ;
end
delete(h) ;
if ~was_hold, hold off ; end
vlfeat-0.9.16/toolbox/plotop/vl_det.m000066400000000000000000000033261203326130700175270ustar00rootroot00000000000000function [missRate, falseAlarm] = vl_det(labels, scores, varargin)
% VL_DET  Compute DET curve
%  [MISSRATE, FALSEALRAM] = VL_DET(LABELS, SCORES) computes the
%  Detection Error Trade-off (DET) curve for the given set LABELS and
%  SCORES. The function is a simple wrapper to VL_ROC(LABELS,
%  SCORES). In fact, MISSRATE is simply the false positive rate and
%  FALSEARALM the false negative rate returned by VL_ROC().
%
%  VL_DET(...) without output arguments plots the curves in the
%  current axis. Note that the DET curves use logarithmic axis.
%
%  VL_DET(..., OPT, ARG, ...) accepts the same options as VL_ROC().
%
%  REFERENCES:
%  [1] A. Martin, G. Doddington, T. Kamm, M. Ordowski, and
%  M. Przybocki. The DET curve in assessment of detection task
%  performance. In Proc. Conf. on Speech Communication and Technology,
%  1997.

[tp,tn] = vl_roc(labels, scores, varargin{:}) ;
missRate = 1 - tp ;
falseAlarm = 1 - tn ;

if nargout == 0
  cla ;
  loglog(falseAlarm,missRate,'linewidth',2) ;
  grid on ;
  axis square ;
  xlabel('false alaram (false positive) rate') ;
  ylabel('miss (false negative) rate') ;
  title('DET') ;
end

% %conf = vl_argparse(conf, varargin{:}) ;

% for i = 1:2:length(varargin)
%   opt = varargin{i} ;
%   val = varargin{i+1} ;
%   switch lower(opt)
%     case 'numnegatives'
%       N = val ;
%     otherwise
%       error('Unknown option %s', opt) ;
%   end
% end

% P = sum(labels > 0) ;
% if ~exist('N'), N = sum(labels < 0) ; end

% if N < sum(labels < 0), warning('NumNegatives < number of provided negatives') ; end

% N_=N-sum(labels<0) ;
% [scores, perm] = sort(scores) ;

% disp(sum(labels<0)/N)

% tp = [0 cumsum(labels(fliplr(perm)) > 0)/P 1] ;
% tn = [1 (fliplr(cumsum(labels(perm) < 0))+N_)/N 0] ;

vlfeat-0.9.16/toolbox/plotop/vl_figaspect.m000066400000000000000000000014151203326130700207150ustar00rootroot00000000000000function vl_figaspect(a)
% VL_FIGASPECT  Set figure aspect ratio
%   VL_FIGASPECT(A) sets the current figure aspect ratio to A. It
%   leaves the length of the shortest side unaltered. Both the
%   screen and paper positions are affected.
%
%   See also: VL_PRINTSIZE(), VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

pos = get(gcf, 'Position') ;

if a >= 1
  pos(3) = a * pos(4) ;
else
  pos(4) = pos(3) / a ;
end

set(gcf,'Position',pos) ;

pos = get(gcf, 'PaperPosition') ;

if a >= 1
  pos(3) = a * pos(4) ;
else
  pos(4) = pos(3) / a ;
end

set(gcf,'PaperPosition', pos) ;
vlfeat-0.9.16/toolbox/plotop/vl_linespec2prop.m000066400000000000000000000022301203326130700215310ustar00rootroot00000000000000function prop=vl_linespec2prop(spec)
% VL_LINESPEC2PROP  Convert PLOT style line specs to properties
%  PROPR = VL_LINESPEC2PROP(SPEC) converts the string SPEC to a cell
%  array of properties PROPR. SPEC is in the format of PLOT().
%
%  If SPEC is not in a recognized format, the string SPEC is returned
%  unaltered as the only element of PROPR.
%
%  See also: VL_PLOTFRAME(), PLOT(), VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

prop = {} ;

if ~ ischar(spec)
  error('SPEC must be a string') ;
end

spec_ = spec ;

switch spec(1:min(numel(spec),1))
  case {'b' 'g' 'r' 'c' 'm' 'y' 'k' 'w'}
    prop = {prop{:}, 'Color', spec(1)} ;
    spec(1) = [] ;
end

switch spec(1:min(numel(spec),1))
  case {'.' 'o' 'x' '+' '*' 's' 'd' 'v' '^' '<' '>' 'p' 'h'}
    prop = {prop{:}, 'Marker', spec(1)} ;
    spec(1) = [] ;
end

if isempty(spec)
  return ;
end

switch spec
  case {'-' ':' '-.' '--'}
    prop = {prop{:}, 'LineStyle', spec} ;
  otherwise
    prop = {spec_} ;
end
vlfeat-0.9.16/toolbox/plotop/vl_plotframe.m000066400000000000000000000124251203326130700207440ustar00rootroot00000000000000function h = vl_plotframe(frames,varargin)
% VL_PLOTFRAME  Plot feature frame
%  VL_PLOTFRAME(FRAME) plots the frames FRAME.  Frames are attributed
%  image regions (as, for example, extracted by a feature detector). A
%  frame is a vector of D=2,3,..,6 real numbers, depending on its
%  class. VL_PLOTFRAME() supports the following classes:
%
%   * POINTS
%     + FRAME(1:2)   coordinates
%
%   * CIRCLES
%     + FRAME(1:2)   center
%     + FRAME(3)     radius
%
%   * ORIENTED CIRCLES
%     + FRAME(1:2)   center
%     + FRAME(3)     radius
%     + FRAME(4)     orientation
%
%   * ELLIPSES
%     + FRAME(1:2)   center
%     + FRAME(3:5)   S11, S12, S22 such that ELLIPSE = {x: x' inv(S) x = 1}.
%
%   * ORIENTED ELLIPSES
%     + FRAME(1:2)   center
%     + FRAME(3:6)   stacking of A such that ELLIPSE = {A x : |x| = 1}
%
%  H = VL_PLOTFRAME(...) returns the handle of the graphical object
%  representing the frames.
%
%  VL_PLOTFRAME(FRAMES) where FRAMES is a matrix whose column are
%  FRAME vectors plots all frames simultaneously. Using this call is
%  much faster than calling VL_PLOTFRAME() for each frame.
%
%  VL_PLOTFRAME(FRAMES,...) passes any extra argument to the
%  underlying plot function. The first optional argument can be a line
%  specification string such as the one used by PLOT().
%
%  See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% number of vertices drawn for each frame
np = 40 ;

lineprop = {} ;
if length(varargin) > 0
  lineprop = vl_linespec2prop(varargin{1}) ;
  lineprop = {lineprop{:}, varargin{2:end}} ;
end

% --------------------------------------------------------------------
%                                         Handle various frame classes
% --------------------------------------------------------------------

% if just a vector, make sure it is column
if(min(size(frames))==1)
  frames = frames(:) ;
end

[D,K] = size(frames) ;
zero_dimensional = D==2 ;

% just points?
if zero_dimensional
  h = plot(frames(1,:),frames(2,:),'g.',lineprop{:}) ;
  return ;
end

% reduce all other cases to ellipses/oriented ellipses
frames    = frame2oell(frames) ;
do_arrows = (D==4 || D==6) ;

% --------------------------------------------------------------------
%                                                                 Draw
% --------------------------------------------------------------------

K   = size(frames,2) ;
thr = linspace(0,2*pi,np) ;

% allx and ally are nan separated lists of the vertices describing the
% boundary of the frames
allx = nan*ones(1, np*K+(K-1)) ;
ally = nan*ones(1, np*K+(K-1)) ;

if do_arrows
  % allxf and allyf are nan separated lists of the vertices of the
  allxf = nan*ones(1, 3*K) ;
  allyf = nan*ones(1, 3*K) ;
end

% vertices around a unit circle
Xp = [cos(thr) ; sin(thr) ;] ;

for k=1:K

  % frame center
	xc = frames(1,k) ;
	yc = frames(2,k) ;

  % frame matrix
  A = reshape(frames(3:6,k),2,2) ;

  % vertices along the boundary
  X = A * Xp ;
  X(1,:) = X(1,:) + xc ;
  X(2,:) = X(2,:) + yc ;

  % store
	allx((k-1)*(np+1) + (1:np)) = X(1,:) ;
	ally((k-1)*(np+1) + (1:np)) = X(2,:) ;

  if do_arrows
    allxf((k-1)*3 + (1:2)) = xc + [0 A(1,1)] ;
    allyf((k-1)*3 + (1:2)) = yc + [0 A(2,1)] ;
  end

end

if do_arrows
  h = line([allx nan allxf], ...
           [ally nan allyf], ...
           'Color','g','LineWidth',3, ...
           lineprop{:}) ;
else
  h = line(allx, ally, ...
           'Color','g','LineWidth',3, ...
           lineprop{:}) ;
end


% --------------------------------------------------------------------
function eframes = frame2oell(frames)
% FRAMES2OELL  Convert generic frame to oriented ellipse
%   EFRAMES = FRAME2OELL(FRAMES) converts the frames FRAMES to
%   oriented ellipses EFRAMES. This is useful because many tasks are
%   almost equivalent for all kind of regions and are immediately
%   reduced to the most general case.

% Determine the kind of frames
[D,K] = size(frames) ;
switch D
  case 2, kind = 'point' ;
  case 3, kind = 'disk' ;
  case 4, kind = 'odisk' ;
  case 5, kind = 'ellipse' ;
  case 6, kind = 'oellipse' ;
  otherwise
    error(['FRAMES format is unknown']) ;
end
eframes = zeros(6,K) ;

% Convert frames to oriented ellipses
switch kind
  case 'point'
    eframes(1:2,:) = frames(1:2,:) ;

  case 'disk'
    eframes(1:2,:) = frames(1:2,:) ;
    eframes(3,:)   = frames(3,:) ;
    eframes(6,:)   = frames(3,:) ;

  case 'odisk'
    r = frames(3,:) ;
    c = r.*cos(frames(4,:)) ;
    s = r.*sin(frames(4,:)) ;

    eframes(1:2,:) = frames(1:2,:) ;
    eframes(3:6,:) = [c ; s ; -s ; c] ;

  case 'ellipse'
    eframes(1:2,:) = frames(1:2,:) ;
    eframes(3:6,:) = mapFromS(frames(3:5,:)) ;

  case 'oellipse'
    eframes = frames ;
end

% --------------------------------------------------------------------
function A = mapFromS(S)
% --------------------------------------------------------------------
% Returns the (stacking of the) 2x2 matrix A that maps the unit circle
% into the ellipses satisfying the equation x' inv(S) x = 1. Here S
% is a stacked covariance matrix, with elements S11, S12 and S22.

tmp = sqrt(S(3,:)) + eps ;
A(1,:) = sqrt(S(1,:).*S(3,:) - S(2,:).^2) ./ tmp ;
A(2,:) = zeros(1,length(tmp));
A(3,:) = S(2,:) ./ tmp ;
A(4,:) = tmp ;
vlfeat-0.9.16/toolbox/plotop/vl_plotgrid.m000066400000000000000000000012731203326130700205760ustar00rootroot00000000000000function h=vl_plotgrid(x,y,varargin)
% VL_PLOTGRID  Plot a 2-D grid
%  VL_PLOTGRID(X,Y) plots a grid with vertices (X,Y). X and Y are MxN
%  matrices, with one entry per vertex.
%
%  H=VL_PLOTGRID(...) returns the handle to the grid object.
%
%  See also: VL_HELP().

washold = ishold ;

[M,N] = size(x) ;

hold on ;

xh = [x' ; nan*ones(1,M) ] ;
yh = [y' ; nan*ones(1,M) ] ;

xh = xh(:) ;
yh = yh(:) ;

xv = [x ; nan*ones(1,N) ] ;
yv = [y ; nan*ones(1,N) ] ;

xv = xv(:) ;
yv = yv(:) ;

lineprop = {} ;
if length(varargin) > 0
  lineprop = vl_linespec2prop(varargin{1}) ;
  lineprop = {lineprop{:}, varargin{2:end}} ;
end

h = line([xh' xv'], [yh' yv'],lineprop{:}) ;

if ~washold
  hold off ;
end
vlfeat-0.9.16/toolbox/plotop/vl_plotpoint.m000066400000000000000000000020211203326130700207720ustar00rootroot00000000000000function h=vl_plotpoint(V,varargin)
% VL_PLOTPOINT  Plot 2 or 3 dimensional points
%   VL_PLOTPOINT(V) plots the 2 or 3 dimensional points V. V is a 2xK or
%   3xK array, with one point per column.
%
%   H=VL_PLOTPOINT(...) returns the handle H of the plot.
%
%   VL_PLOTPOINT() is a simple wrapper around the PLOT() and PLOT3()
%   functions. By default, VL_PLOTPOINT(V) plots the points with line
%   style '.'.  VL_PLOTPOINT(V,...) does not use the default line style;
%   rather it passess any extra argument to the underlying plot
%   function.
%
%   See also: PLOT(), PLOT3(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if length(varargin) == 0
  varargin = {'.'};
end

switch size(V,1)
  case 2
    h=plot(V(1,:),V(2,:),varargin{:}) ;
  case 3
    h=plot3(V(1,:),V(2,:),V(3,:),varargin{:}) ;
  otherwise
    error(['V must be either 2xK or 3xK.']) ;
end
vlfeat-0.9.16/toolbox/plotop/vl_plotstyle.m000066400000000000000000000040461203326130700210120ustar00rootroot00000000000000function style = vl_plotstyle(index)
% VL_PLOTSTYLES  Get a plot style
%   STYLES = VL_PLOTSTYLE(INDEX) returns a cell array of PLOT() options
%   for the color/line style of index INDEX. The available styles are
%   defined the ColorOrder and LineStyleOrder properties of the
%   current axes and cycled first by color and then by line style.
%
%   If there is no current axes can be found, then VL_PLOTSTYLE() uses
%   the DefaultAxesColorOrder and DefaultLineStyleOrder root
%   properties.
%
%   If INDEXES has more than one element, then VL_PLOTSTYLE(INDEXES)
%   returns a cell array of styles of the same size of INDEXES.
%
%   Example::
%     The code fragment
%
%        set(gca,'LineStyleOrder', {'-','-.'}, 'NextPlot', 'replacechildren') ;
%        plot([1 2], [1:20 ; 1:20]') ;
%
%     and
%
%       set(gca,'NextPlot', 'replacechildren') ;
%       set(gca,'LineStyleOrder', {'-','-.'}) ;
%       for i = 1:20
%         style = vl_plotstyle(i) ;
%         plot([1 2], [i i], style{:}) ;
%         hold on ;
%       end
%
%     produce visually similar results.
%
%   See also: VL_HELP().

% Author: Andrea Vedaldi

colors = [] ;
lines = {} ;

% try to get from current axes, if any
fig = get(0, 'CurrentFigure') ;
if ~isempty(fig)
  ax = get(fig, 'CurrentAxes') ;
  if ~isempty(ax)
    colors = get(gca, 'ColorOrder') ;
    lines = get(gca, 'LineStyleOrder') ;
  end
end

% if not, pick matlab defaults
if isempty(colors)
  colors = get(0,'DefaultAxesColorOrder') ;
  lines = get(0,'DefaultAxesLineStyleOrder') ;
end

% make sure lines is a cell and not a char array
if ~iscell(lines)
  lines_ = lines ;
  lines = {} ;
  for i = 1:size(lines_,1)
    lines{i} = deblank(lines_(i,:)) ;
  end
end

% if more than one style specified
style = cell(size(index)) ;
for i = 1:numel(index)
  ci = mod(index(i) - 1, size(colors,1)) + 1 ;
  li = mod(floor((index(i) - 1) / size(colors,1)), numel(lines)) + 1 ;
  style{i} = {'Color', colors(ci,:), 'LineStyle', lines{li}} ;
end

% remove one layer of cell array if single style requested
if numel(index) == 1
  style = [style{:}] ;
end
vlfeat-0.9.16/toolbox/plotop/vl_pr.m000066400000000000000000000177031203326130700174000ustar00rootroot00000000000000function [recall, precision, info] = vl_pr(labels, scores, varargin)
%VL_PR   Precision-recall curve.
%   [RECALL, PRECISION] = VL_PR(LABELS, SCORES) computes the
%   precision-recall (PR) curve. LABELS are the ground truth labels,
%   greather than zero for a positive sample and smaller than zero for
%   a negative one. SCORES are the scores of the samples obtained from
%   a classifier, where lager scores should correspond to positive
%   samples.
%
%   Samples are ranked by decreasing scores, starting from rank 1.
%   PRECISION(K) and RECALL(K) are the precison and recall when
%   samples of rank smaller or equal to K-1 are predicted to be
%   positive and the remaining to be negative. So for example
%   PRECISION(3) is the percentage of positive samples among the two
%   samples with largest score. PRECISION(1) is the precision when no
%   samples are predicted to be positive and is conventionally set to
%   the value 1.
%
%   Set the zero the lables of samples that should be ignored in the
%   evaluation. Set to -INF the scores of samples which are not
%   retrieved. If there are samples with -INF score, then the PR curve
%   may have maximum recall smaller than 1, unless the INCLUDEINF
%   option is used (see below). The options NUMNEGATIVES and
%   NUMPOSITIVES can be used to specify additional samples with -INF
%   score (see below).
%
%   [RECALL, PRECISION, INFO] = VL_PR(...) returns an additional
%   structure INFO with the following fields:
%
%   info.auc::
%     The area under the precision-recall curve. If the INTERPOLATE
%     option is set to FALSE, then trapezoidal interpolation is used
%     to integrate the PR curve. If the INTERPOLATE option is set to
%     TRUE, then the curve is piecewise constant and no other
%     approximation is introduced in the calculation of the area. In
%     the latter case, INFO.AUC is the same as INFO.AP.
%
%   info.ap::
%     Average precision as defined by TREC. This is the average of the
%     precision observed each time a new positive sample is
%     recalled. In this calculation, any sample with -INF score
%     (unless INCLUDEINF is used) and any additional positive induced
%     by NUMPOSITIVES has precision equal to zero. If the INTERPOLATE
%     option is set to true, the AP is computed from the interpolated
%     precision and the result is the same as INFO.AUC. Note that AP
%     as defined by TREC normally does not use interpolation [1].
%
%   info.ap_interp_11::
%     11-points interpolated average precision as defined by TREC.
%     This is the average of the maximum precision for recall levels
%     greather than 0.0, 0.1, 0.2, ..., 1.0. This measure was used in
%     the PASCAL VOC challenge up to the 2008 edition.
%
%   info.auc_pa08::
%     Deprecated. It is the same of INFO.AP_INTERP_11.
%
%   VL_PR(...) with no output arguments plots the PR curve in the
%   current axis.
%
%   VL_PR() accepts the following options:
%
%   Interpolate:: false
%     If set to true, use interpolated precision. The interpolated
%     precision is defined as the maximum precision for a given recall
%     level and onwards. Here it is implemented as the culumative
%     maximum from low to high scores of the precision.
%
%   NumPositives:: []
%   NumNegatives:: []
%     If set to a number, pretend that LABELS contains this may
%     positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
%     smaller than the actual number of positive/negative entrires in
%     LABELS. The additional positive/negative labels are appended to
%     the end of the sequence, as if they had -INF scores (not
%     retrieved). This is useful to evaluate large retrieval systems
%     for which one stores ony a handful of top results for efficiency
%     reasons.
%
%   IncludeInf:: false
%     If set to true, data with -INF score SCORES is included in the
%     evaluation and the maximum recall is 1 even if -INF scores are
%     present. This option does not include any additional positive or
%     negative data introduced by specifying NUMPOSITIVES and
%     NUMNEGATIVES.
%
%   Stable:: false
%     If set to true, RECALL and PRECISION are returned the same order
%     of LABELS and SCORES rather than being sorted by decreasing
%     score (increasing recall). Samples with -INF scores are assigned
%     RECALL and PRECISION equal to NaN.
%
%   About the PR curve::
%     This section uses the same symbols used in the documentation of
%     the VL_ROC() function. In addition to those quantities, define:
%
%       PRECISION(S) = TP(S) / (TP(S) + FP(S))
%       RECALL(S) = TPR(S) = TP(S) / P
%
%     The precision is the fraction of positivie predictions which are
%     correct, and the recall is the fraction of positive labels that
%     have been correctly classified (recalled). Notice that the recall
%     is also equal to the true positive rate for the ROC curve (see
%     VL_ROC()).
%
%   REFERENCES:
%   [1] C. D. Manning, P. Raghavan, and H. Schutze. An Introduction to
%   Information Retrieval. Cambridge University Press, 2008.
%
%   See also VL_ROC(), VL_HELP().

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[tp, fp, p, n, perm, varargin] = vl_tpfp(labels, scores, varargin{:}) ;
opts.stable = false ;
opts.interpolate = false ;
opts = vl_argparse(opts,varargin) ;

% compute precision and recall
small = 1e-10 ;
recall = tp / max(p, small) ;
precision = max(tp, small) ./ max(tp + fp, small) ;

% interpolate precision if needed
if opts.interpolate
  precision = fliplr(vl_cummax(fliplr(precision))) ;
end

% --------------------------------------------------------------------
%                                                      Additional info
% --------------------------------------------------------------------

if nargout > 2 || nargout == 0

  % area under the curve using trapezoid interpolation
  if ~opts.interpolate
    info.auc = 0.5 * sum((precision(1:end-1) + precision(2:end)) .* diff(recall)) ;
  end

  % average precision (for each recalled positive sample)
  sel = find(diff(recall)) + 1 ;
  info.ap = sum(precision(sel)) / p ;
  if opts.interpolate
    info.auc = info.ap ;
  end

  % TREC 11 points average interpolated precision
  info.ap_interp_11 = 0.0 ;
  for rc = linspace(0,1,11)
    pr = max([0, precision(recall >= rc)]) ;
    info.ap_interp_11 = info.ap_interp_11 + pr / 11 ;
  end

  % legacy definition
  info.auc_pa08 = info.ap_interp_11 ;
end

% --------------------------------------------------------------------
%                                                                 Plot
% --------------------------------------------------------------------

if nargout == 0
  cla ; hold on ;
  plot(recall,precision,'linewidth',2) ;
  spline([0 1], [1 1] * p / length(labels), 'r--', 'linewidth', 2) ;
  axis square ; grid on ;
  xlim([0 1]) ; xlabel('recall') ;
  ylim([0 1]) ; ylabel('precision') ;
  title(sprintf('PR (AUC: %.2f%%, AP: %.2f%%, AP11: %.2f%%)', ...
                info.auc * 100, ...
                info.ap * 100, ...
                info.ap_interp_11 * 100)) ;
  if opts.interpolate
    legend('PR interp.', 'PR rand.', 'Location', 'SouthEast') ;
  else
    legend('PR', 'PR rand.', 'Location', 'SouthEast') ;
  end
  clear recall precision info ;
end

% --------------------------------------------------------------------
%                                                        Stable output
% --------------------------------------------------------------------

if opts.stable
  precision(1) = [] ;
  recall(1) = [] ;
  precision_ = precision ;
  recall_ = recall ;
  precision = NaN(size(precision)) ;
  recall = NaN(size(recall)) ;
  precision(perm) = precision_ ;
  recall(perm) = recall_ ;
end

% --------------------------------------------------------------------
function h = spline(x,y,spec,varargin)
% --------------------------------------------------------------------
prop = vl_linespec2prop(spec) ;
h = line(x,y,prop{:},varargin{:}) ;
vlfeat-0.9.16/toolbox/plotop/vl_printsize.m000066400000000000000000000062141203326130700210010ustar00rootroot00000000000000function vl_printsize(varargin)
% VL_PRINTSIZE  Set the print size of a figure
%   VL_PRINTSIZE(R) sets the PaperPosition property of the current
%   figure so that the width of the figure is the fraction R of a
%   'uslsetter' page. It also sets the PaperSize property to tightly
%   match the figure size. In this way, printing to any format crops
%   the figure similar to what printing to EPS would do.
%
%   VL_PRINTSIZE(FIG,R) opearates on the specified figure FIG.
%
%   This command is useful to resize a figure before printing it so
%   that elements are scaled appropriately to match the desired figure
%   size in print. The function accepts the following optional
%   arguments:
%
%   Aspect:: []
%     Change the figure aspect ratio (widht/height) to the specified
%     value.
%
%   Reference:: 'vertical'
%     If set to 'horizontal' the ratio R is the widht of the figure
%     over the width of the page. If 'vertical', the ratio R is the
%     height of the figure over the height of the page.
%
%   PaperType:: 'letter'
%     Set the type (size) of the reference paperReference. Any of the
%     paper types supported by MATLAB can be used (see PRINT())).
%
%   See also: VL_HELP().

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if length(varargin) >= 2 && isnumeric(varargin{2})
  % called with two numeric arguments
  fig = varargin{1} ;
  varargin(1) = [] ;
else
  fig = gcf ;
end

sizeRatio = varargin{1} ;
varargin(1) = [] ;

aspectRatio = NaN ;
reference = 'horizontal' ;
paperType = 'usletter' ;
margin = 0 ;

for ai=1:2:length(varargin)
  opt = lower(varargin{ai}) ;
  arg = varargin{ai+1} ;
  switch lower(opt)
    case 'aspect'
      aspectRatio = arg ;
    case 'reference'
      switch lower(arg)
        case 'horizontal'
          reference = 'horizontal' ;
        case 'vertical'
          reference = 'vertical' ;
        otherwise
          error('Invalid value ''%s'' for option ''%s''.', arg, opt) ;
      end
    case 'papertype'
      paperType = opt ;
    case 'margin'
      margin = arg ;
    otherwise
      error('Unknown option ''%s''.', opt) ;
  end
end

% set the paper size to the reference type
set(fig, 'PaperType', paperType) ;
paperSize = get(fig, 'PaperSize') ;

% get the current figure position to compute the current aspect ratio
position = get(fig, 'PaperPosition') ;

% if not specified, compute current aspect ratio
if isnan(aspectRatio)
  aspectRatio = position(3) / position(4) ;
end

% resize the figure
switch reference
  case 'horizontal'
    s = paperSize(1) / position(3) * sizeRatio ;
  case 'vertical'
    s = paperSize(2) / position(4) * sizeRatio ;
end
position(3:4) = position(3) * s * [1 1/aspectRatio] ;

% add margin
switch reference
  case 'horizontal'
    position(1) = position(3) * margin ;
    position(2) = position(3) * margin ;
  case 'vertical'
    position(1) = position(4) * margin ;
    position(2) = position(4) * margin ;
end

set(fig, 'PaperPosition', position, ...
         'PaperSize', 2 * position(1:2) + position(3:4)) ;
end
vlfeat-0.9.16/toolbox/plotop/vl_roc.m000066400000000000000000000210471203326130700175360ustar00rootroot00000000000000function [tpr,tnr,info] = vl_roc(labels, scores, varargin)
%VL_ROC   ROC curve.
%   [TPR,TNR] = VL_ROC(LABELS, SCORES) computes the Receiver Operating
%   Characteristic (ROC) curve. LABELS are the ground truth labels,
%   greather than zero for a positive sample and smaller than zero for
%   a negative one. SCORES are the scores of the samples obtained from
%   a classifier, where lager scores should correspond to positive
%   labels.
%
%   Samples are ranked by decreasing scores, starting from rank 1.
%   TPR(K) and TNR(K) are the true positive and true negative rates
%   when samples of rank smaller or equal to K-1 are predicted to be
%   positive. So for example TPR(3) is the true positive rate when the
%   two samples with largest score are predicted to be
%   positive. Similarly, TPR(1) is the true positive rate when no
%   samples are predicted to be positive, i.e. the constant 0.
%
%   Set the zero the lables of samples that should be ignored in the
%   evaluation. Set to -INF the scores of samples which are not
%   retrieved. If there are samples with -INF score, then the ROC curve
%   may have maximum TPR and TNR smaller than 1.
%
%   [TPR,TNR,INFO] = VL_ROC(...) returns an additional structure INFO
%   with the following fields:
%
%   info.auc:: Area under the ROC curve (AUC).
%     The ROC curve has a `staircase shape' because for each sample
%     only TP or TN changes, but not both at the same time. Therefore
%     there is no approximation involved in the computation of the
%     area.
%
%   info.eer:: Equal error rate (EER).
%     The equal error rate is the value of FPR (or FNR) when the ROC
%     curves intersects the line connecting (0,0) to (1,1).
%
%   VL_ROC(...) with no output arguments plots the ROC curve in the
%   current axis.
%
%   VL_ROC() acccepts the following options:
%
%   Plot:: []
%     Setting this option turns on plotting unconditionally. The
%     following plot variants are supported:
%
%     tntp:: Plot TPR against TNR (standard ROC plot).
%     tptn:: Plot TNR against TPR (recall on the horizontal axis).
%     fptp:: Plot TPR against FPR.
%     fpfn:: Plot FNR against FPR (similar to DET curve).
%
%   NumPositives:: []
%   NumNegatives:: []
%     If set to a number, pretend that LABELS contains this may
%     positive/negative labels. NUMPOSITIVES/NUMNEGATIVES cannot be
%     smaller than the actual number of positive/negative entrires in
%     LABELS. The additional positive/negative labels are appended to
%     the end of the sequence, as if they had -INF scores (not
%     retrieved). This is useful to evaluate large retrieval systems in
%     which one stores ony a handful of top results for efficiency
%     reasons.
%
%   About the ROC curve::
%     Consider a classifier that predicts as positive all samples whose
%     score is not smaller than a threshold S. The ROC curve represents
%     the performance of such classifier as the threshold S is
%     changed. Formally, define
%
%       P = overall num. of positive samples,
%       N = overall num. of negative samples,
%
%     and for each threshold S
%
%       TP(S) = num. of samples that are correctly classified as positive,
%       TN(S) = num. of samples that are correctly classified as negative,
%       FP(S) = num. of samples that are incorrectly classified as positive,
%       FN(S) = num. of samples that are incorrectly classified as negative.
%
%     Consider also the rates:
%
%       TPR = TP(S) / P,      FNR = FN(S) / P,
%       TNR = TN(S) / N,      FPR = FP(S) / N,
%
%     and notice that by definition
%
%       P = TP(S) + FN(S) ,    N = TN(S) + FP(S),
%       1 = TPR(S) + FNR(S),   1 = TNR(S) + FPR(S).
%
%     The ROC curve is the parametric curve (TPR(S), TNR(S)) obtained
%     as the classifier threshold S is varied in the reals. The TPR is
%     also known as recall (see VL_PR()).
%
%     The ROC curve is contained in the square with vertices (0,0) The
%     (average) ROC curve of a random classifier is a line which
%     connects (1,0) and (0,1).
%
%     The ROC curve is independent of the prior probability of the
%     labels (i.e. of P/(P+N) and N/(P+N)).
%
%   REFERENCES:
%   [1] http://en.wikipedia.org/wiki/Receiver_operating_characteristic
%
%   See also: VL_PR(), VL_DET(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[tp, fp, p, n, perm, varargin] = vl_tpfp(labels, scores, varargin{:}) ;
opts.plot = [] ;
opts.stable = false ;
opts = vl_argparse(opts,varargin) ;

% compute the rates
small = 1e-10 ;
tpr = tp / max(p, small) ;
fpr = fp / max(n, small) ;
fnr = 1 - tpr ;
tnr = 1 - fpr ;

% --------------------------------------------------------------------
%                                                      Additional info
% --------------------------------------------------------------------

if nargout > 2 || nargout == 0
  % Area under the curve. Since the curve is a staircase (in the
  % sense that for each sample either tn is decremented by one
  % or tp is incremented by one but the other remains fixed),
  % the integral is particularly simple and exact.

  info.auc = sum(tnr .* diff([0 tpr])) ;

  % Equal error rate. One must find the index S for which there is a
  % crossing between TNR(S) and TPR(s). If such a crossing exists,
  % there are two cases:
  %
  %                  o             tnr o
  %                 /                   \
  % 1-eer =  tnr o-x-o     1-eer = tpr o-x-o
  %               /                       \
  %          tpr o                         o
  %
  % Moreover, if the maximum TPR is smaller than 1, then it is
  % possible that neither of the two cases realizes (then EER=NaN).

  s = max(find(tnr > tpr)) ;
  if s == length(tpr)
    info.eer = NaN ;
  else
    if tpr(s) == tpr(s+1)
      info.eer = 1 - tpr(s) ;
    else
      info.eer = 1 - tnr(s) ;
    end
  end
end

% --------------------------------------------------------------------
%                                                                 Plot
% --------------------------------------------------------------------

if ~isempty(opts.plot) || nargout == 0
  if isempty(opts.plot), opts.plot = 'tntp' ; end
  cla ; hold on ;
  switch lower(opts.plot)
    case {'truenegatives', 'tn', 'tntp'}
      hroc = plot(tnr, tpr, 'b', 'linewidth', 2) ;
      hrand = spline([0 1], [1 0], 'r--', 'linewidth', 2) ;
      spline([0 1], [0 1], 'k--', 'linewidth', 1) ;
      plot(1-info.eer, 1-info.eer, 'k*', 'linewidth', 1) ;
      xlabel('true negative rate') ;
      ylabel('true positve rate (recall)') ;
      loc = 'sw' ;

    case {'falsepositives', 'fp', 'fptp'}
      hroc = plot(fpr, tpr, 'b', 'linewidth', 2) ;
      hrand = spline([0 1], [0 1], 'r--', 'linewidth', 2) ;
      spline([1 0], [0 1], 'k--', 'linewidth', 1) ;
      plot(info.eer, 1-info.eer, 'k*', 'linewidth', 1) ;
      xlabel('false positve rate') ;
      ylabel('true positve rate (recall)') ;
      loc = 'se' ;

    case {'tptn'}
      hroc = plot(tpr, tnr, 'b', 'linewidth', 2) ;
      hrand = spline([0 1], [1 0], 'r--', 'linewidth', 2) ;
      spline([0 1], [0 1], 'k--', 'linewidth', 1) ;
      plot(1-info.eer, 1-info.eer, 'k*', 'linewidth', 1) ;
      xlabel('true positve rate (recall)') ;
      ylabel('false positive rate') ;
      loc = 'sw' ;

    case {'fpfn'}
      hroc = plot(fpr, fnr, 'b', 'linewidth', 2) ;
      hrand = spline([0 1], [1 0], 'r--', 'linewidth', 2) ;
      spline([0 1], [0 1], 'k--', 'linewidth', 1) ;
      plot(info.eer, info.eer, 'k*', 'linewidth', 1) ;
      xlabel('false positive (false alarm) rate') ;
      ylabel('false negative (miss) rate') ;
      loc = 'ne' ;

    otherwise
      error('''%s'' is not a valid PLOT type.', opts.plot);
  end

  grid on ;
  xlim([0 1]) ;
  ylim([0 1]) ;
  axis square ;
  title(sprintf('ROC (AUC: %.2f%%, EER: %.2f%%)', info.auc * 100, info.eer * 100), ...
        'interpreter', 'none') ;
  legend([hroc hrand], 'ROC', 'ROC rand.', 'location', loc) ;
end

% --------------------------------------------------------------------
%                                                        Stable output
% --------------------------------------------------------------------

if opts.stable
  tpr(1) = [] ;
  tnr(1) = [] ;
  tpr_ = tpr ;
  tnr_ = tnr ;
  tpr = NaN(size(tpr)) ;
  tnr = NaN(size(tnr)) ;
  tpr(perm) = tpr_ ;
  tnr(perm) = tnr_ ;
end

% --------------------------------------------------------------------
function h = spline(x,y,spec,varargin)
% --------------------------------------------------------------------
prop = vl_linespec2prop(spec) ;
h = line(x,y,prop{:},varargin{:}) ;
vlfeat-0.9.16/toolbox/plotop/vl_tightsubplot.m000066400000000000000000000070201203326130700214760ustar00rootroot00000000000000function H = vl_tightsubplot(varargin)
% VL_TIGHTSUBPLOT  Tiles axes without wasting space
%   H = VL_TIGHTSUBPLOT(K,P) returns an handle to the P-th axis in a
%   regular grid of K axes. The K axes are numbered from left to right
%   and from top to bottom.  The function operates similarly to
%   SUBPLOT(), but by default it does not put any margin between
%   axes. This is done by tiling the axes inner box rather than the
%   axes outer box.
%
%   H = VL_TIGHTSUBPLOT(M,N,P) retursn an handle to the P-th axes in a
%   regular subdivision with M rows and N columns.
%
%   VL_TIGHTSUBPLOT() accepts the following options:
%
%   Margin:: [0]
%   MarginLeft:: [0]
%   MarginRight:: [0]
%   MarginTop:: [0]
%   MarginBottom:: [0]
%     Set the axes inner box margin, either uniformly in all
%     directions, or specifically to the left, right, top or bottom.
%
%   Box:: [0]
%     If set to 'outer', tile the axes outer box, thus protecting
%     title and labels. Unfortunately this usually produces
%     unnecesarily large margins.
%
%   Spacing:: [0] (legacy option)
%     Set extra spacing between axes.  The space is added between the
%     inner or outer boxes, depending on the setting below.
%
%   REMARK. While SUBPLOT kills any pre-existing axes that overalps a
%   new one, this function does not.
%
%   See also: SUBPLOT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% margins
ml = 0 ;
mr = 0 ;
mt = 0 ;
mb = 0 ;

use_outer=0 ;

% --------------------------------------------------------------------
%                                                      Parse arguments
% --------------------------------------------------------------------

K = varargin{1} ;
p = varargin{2} ;
N = ceil(sqrt(K)) ;
M = ceil(K/N) ;

a=3 ;
NA = length(varargin) ;
if NA > 2
  if isa(varargin{3},'char')
    % Called with K and p
  else
    % Called with M,N and p
    a = 4 ;
    M = K ;
    N = p ;
    p = varargin{3} ;
  end
end

for a=a:2:NA
  opt=lower(varargin{a}) ;
  arg=varargin{a+1} ;
  switch opt
    case 'margin'
      mt = arg ;
      mb = arg ;
      ml = arg ;
      mr = arg ;
    case 'marginleft'
      ml = arg ;
    case 'marginright'
      mr = arg ;
    case 'margintop'
      mt = arg ;
    case 'marginbottom'
      mb = arg ;
    case 'spacing'
      mt = arg/2 ;
      mb = arg/2 ;
      ml = arg/2 ;
      mr = arg/2 ;
    case 'box'
      switch lower(arg)
        case 'inner'
          use_outer = 0 ;
        case 'outer'
          use_outer = 1 ;
        otherwise
          error(['Box is either ''inner'' or ''outer''']) ;
      end
    otherwise
      error(['Uknown parameter ''', varargin{a}, '''.']) ;
  end
end

% --------------------------------------------------------------------
%                                                  Check the arguments
% --------------------------------------------------------------------

[j,i]=ind2sub([N M],p) ;
i=i-1 ;
j=j-1 ;

pos = [    j * 1/N       + ml,...
       1 - i * 1/M - 1/M + mb,...
       1/N - ml - mr, ...
       1/M - mt - mb] ;

switch use_outer
  case 0
    H = findobj(gcf, 'Type', 'axes', 'Position', pos) ;
    if(isempty(H))
      H = axes('Position', pos) ;
    else
      axes(H) ;
    end

  case 1
    H = findobj(gcf, 'Type', 'axes', 'OuterPosition', pos) ;
    if(isempty(H))
      H = axes('ActivePositionProperty', 'outerposition',...
               'OuterPosition', pos) ;
    else
      axes(H) ;
    end
end
vlfeat-0.9.16/toolbox/plotop/vl_tpfp.m000066400000000000000000000032151203326130700177210ustar00rootroot00000000000000function [tp, fp, p, n, perm, varargin] = vl_tpfp(labels, scores, varargin)
% VL_TPFP  Compute true positives and false positives
%  This is an helper function used by VL_PR(), VL_ROC(), VL_DET().
%
%  See also: VL_PR(), VL_ROC(), VL_DET(), VL_HELP().

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% extraNeg and extraPos depend on numNegatives and numPositives:
%
%    [           labels            |    -1       +1    ]
%    [ +inf | finite scores | -inf | extraNeg  extraPos]

opts.includeInf = false ;
opts.numNegatives = [] ;
opts.numPositives = [] ;
[opts, varargin] = vl_argparse(opts, varargin) ;

% make row vectors
labels = labels(:)' ;
scores = scores(:)' ;

% count labels
p = sum(labels > 0) ;
n = sum(labels < 0) ;

if ~isempty(opts.numPositives)
  if opts.numPositives < p
    warning('NUMPOSITIVES is smaller than the number of positives in LABELS.') ;
  end
  p = opts.numPositives ;
end

if ~isempty(opts.numNegatives)
  if opts.numNegatives < n
    warning('NUMNEGATIVES is smaller than the number of negatives in LABELS.') ;
  end
  n = opts.numNegatives ;
end

% sort by descending scores
[scores, perm] = sort(scores, 'descend') ;

% assume that data with -INF score is never retrieved
if opts.includeInf
  stop = length(scores) ;
else
  stop = max(find(scores > -inf)) ;
end
perm = perm(1:stop) ;
labels = labels(perm) ;

% accumulate true positives and false positives by scores
% in descending order
tp = [0 cumsum(labels > 0)] ;
fp = [0 cumsum(labels < 0)] ;
vlfeat-0.9.16/toolbox/quickshift/000077500000000000000000000000001203326130700167255ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/quickshift/vl_flatmap.m000066400000000000000000000013701203326130700212310ustar00rootroot00000000000000function [map, C] = vl_flatmap(map)
% VL_FLATMAP Flatten a tree, assigning the label of the root to each node
%   [LABELS CLUSTERS] = VL_FLATMAP(MAP) labels each tree of the forest contained
%   in MAP. LABELS contains the linear index of the root node in MAP, CLUSTERS
%   instead contains a label between 1 and the number of clusters.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% follow the parents list to the root nodes (where nothing changes)
while 1
  map_ = map(map) ;
  if isequal(map_,map) ; break ; end
  map = map_ ;
end

[drop,drop,C] = unique(map)  ;
vlfeat-0.9.16/toolbox/quickshift/vl_imseg.m000066400000000000000000000012571203326130700207150ustar00rootroot00000000000000function Q = vl_imseg(I,labels)
% VL_IMSEG Color an image based on the segmentation
%   ISEG = VL_IMSEG(I,LABELS) labels ISEG with the average color from I of
%   each cluster indicated by LABELS.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[M,N,K] = size(I) ;
Q = 0*I ;
for k=1:size(I,3)
  acc = zeros(M,N) ;
  nrm = zeros(M,N) ;
  acc = vl_binsum(acc,  I(:,:,k), labels) ;
  nrm = vl_binsum(nrm, ones(M,N), labels) ;
  acc = acc ./ (nrm+eps) ;
  Q(:,:,k) = acc(labels) ;
end

Q = min(1,Q);
vlfeat-0.9.16/toolbox/quickshift/vl_quickseg.m000066400000000000000000000053101203326130700214160ustar00rootroot00000000000000function [Iseg labels map gaps E] = vl_quickseg(I, ratio, kernelsize, maxdist)
% VL_QUICKSEG Produce a quickshift segmentation of a grayscale or color image
%   [ISEG LABELS MAPS GAPS E] = VL_QUICKSEG(I, RATIO, KERNELSIZE, MAXDIST)
%
% Produces a Quickshift segmentation of an image. See VL_QUICKSHIFT for more
% details.
%
% Inputs:
%   I           Input image, may be RGB or Grayscale. RGB images are first
%               converted to LAB.
%   RATIO       Tradeoff between spatial consistency and color consistency.
%               Small ratio gives more importance to the spatial component.
%               Note that distance calculations happen in unnormalized image
%               coordinates, so RATIO should be adjusted to compensate for
%               larger images.
%   KERNELSIZE  The standard deviation of the parzen window density estimator.
%   MAXDIST     The maximum distance between nodes in the quickshift tree. Used
%               to cut links in the tree to form the segmentation.
%
% Outputs:
%   ISEG   A color image where each pixel is labeled by the mean color in its
%          region.
%   LABELS A labeled image where the number corresponds to the cluster identity
%   MAP    MAP as returned by VL_QUICKSHIFT: For each pixel, the pointer to the
%          nearest pixel which increases the estimate of the density
%   GAPS   GAPS as returned by VL_QUICKSHIFT: For each pixel, the distance to
%          the nearest pixel which increases the estimate of the density
%   E      E as returned by VL_QUICKSHIFT: The estimate of the density
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

I = im2double(I);
% Add less than one pixel noise to break ties caused by constant regions in an
% arbitrary fashon
I = I + rand(size(I))/2550;
if size(I,3) == 1
  Ix = ratio * I;
else
  Ix = ratio * vl_xyz2lab(vl_rgb2xyz(I));
  %Ix = Ix(:,:,2:3); % Throw away L
end

% Perform quickshift to obtain the segmentation tree, which is already cut by
% maxdist. If a pixel has no nearest neighbor which increases the density, its
% parent in the tree is itself, and gaps is inf.
[map,gaps,E] = vl_quickshift(Ix, kernelsize, maxdist) ;

% Follow the parents of the tree until we have reached the root nodes
% mapped: a labeled segmentation where the labels are the indicies of the modes
% in the original image.
% labels: mapped after having been renumbered 1:nclusters and reshaped into a
% vector
[mapped labels] = vl_flatmap(map) ;
labels = reshape(labels, size(map));

% imseg builds an average description of the region by color
Iseg = vl_imseg(I, labels);
vlfeat-0.9.16/toolbox/quickshift/vl_quickshift.c000066400000000000000000000071521203326130700217510ustar00rootroot00000000000000/** @internal
 ** @file:       quickshift.c
 ** @author:     Andrea Vedaldi
 ** @author:     Brian Fulkerson
 ** @brief:      Quickshift MEX driver
 **/

/*
Copyright
*/

#include 

#include 
#include 

enum {
  opt_medoid,
  opt_verbose
} ;

vlmxOption options [] = {
  {"Medoid",              0,   opt_medoid         },
  {"Verbose",             0,   opt_verbose        },
  {0,                     0,   0                  }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {
    IN_I=0,     /* Input image */
    IN_KERNEL_SIZE,  /* The bandwidth parameter for density estimation */
    IN_MAX_DIST,     /* The maximum distance to a neighbor which increases
                   the density */
    IN_END
  } ;
  enum {
    OUT_PARENTS=0, /* parents (same size as I) */
    OUT_DISTS,     /* dists (same size as I) */
    OUT_DENSITY    /* density (same size as I) */
  } ;

  int             verb = 0 ;
  int             opt ;
  int             next = IN_END ;
  mxArray const  *optarg ;

  double const *I ;
  double *parents, *dists, *density ;
  int *parentsi;
  double sigma ;
  double tau ;

  int K,N1,N2;

  int medoid = 0 ;

  mwSize const *dims ;
  int ndims ;

  int i;

  VlQS * q;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                                   Check arguments
   * -------------------------------------------------------------- */

  if (nin < 2) {
    mexErrMsgTxt("At least two arguments.") ;
  }

  if (nout > 3) {
    mexErrMsgTxt("At most three output arguments.") ;
  }

  ndims = mxGetNumberOfDimensions(in[IN_I]) ;
  dims  = mxGetDimensions(in[IN_I]) ;

  if (ndims > 3) {
    mexErrMsgTxt("I must have at most 3 dimensions.") ;
  }

  if (mxGetClassID(in[IN_I]) != mxDOUBLE_CLASS) {
    mexErrMsgTxt("I must be DOUBLE.")  ;
  }

  N1 = dims [0] ;
  N2 = dims [1] ;
  K = (ndims == 3) ? dims [2] : 1 ;

  I     =  mxGetPr (in[IN_I]) ;
  sigma = *mxGetPr (in[IN_KERNEL_SIZE]) ;
  tau   = 3*sigma;
  if (nin > 2)
    tau = *mxGetPr (in[IN_MAX_DIST]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
    case opt_medoid: /* Do medoid shift instead of mean shift */
      medoid = 1 ;
      break ;
    case opt_verbose :
      ++ verb ;
      break ;
    }
  } /* while opts */

  /* Create outputs */
  out[OUT_PARENTS] = mxCreateDoubleMatrix(N1, N2, mxREAL) ;
  parents          = mxGetPr (out[OUT_PARENTS]) ;

  out[OUT_DISTS]   = mxCreateDoubleMatrix(N1, N2, mxREAL) ;
  dists            = mxGetPr (out[OUT_DISTS]) ;

  out[OUT_DENSITY] = mxCreateDoubleMatrix(N1, N2, mxREAL) ;
  density          = mxGetPr (out[OUT_DENSITY]) ;

  if (verb) {
    mexPrintf("quickshift: [N1,N2,K]: [%d,%d,%d]\n", N1,N2,K) ;
    mexPrintf("quickshift: type: %s\n", medoid ? "medoid" : "quick");
    mexPrintf("quickshift: kernel size:  %g\n", sigma) ;
    mexPrintf("quickshift: maximum gap:  %g\n", tau) ;
  }

  /* Do job */
  q = vl_quickshift_new(I, N1, N2, K);

  vl_quickshift_set_kernel_size (q, sigma) ;
  vl_quickshift_set_max_dist     (q, tau) ;
  vl_quickshift_set_medoid      (q, medoid) ;

  vl_quickshift_process(q);

  parentsi = vl_quickshift_get_parents(q);
  /* Copy results */
  for(i = 0; i < N1*N2; i++) parents[i] = parentsi[i] + 1;
  memcpy(dists, vl_quickshift_get_dists(q), sizeof(double)*N1*N2);
  memcpy(density, vl_quickshift_get_density(q), sizeof(double)*N1*N2);

  /* Delete quick shift object */
  vl_quickshift_delete(q);
}
vlfeat-0.9.16/toolbox/quickshift/vl_quickshift.m000066400000000000000000000034351203326130700217630ustar00rootroot00000000000000% VL_QUICKSHIFT Quick shift image segmentation
%   Quick shift is a mode seeking algorithm which links each pixel to
%   its nearest neighbor which has an increase in the estimate of the
%   density. These links form a tree, where the root of the tree is
%   the pixel which correspond to the highest mode in the image.
%
%   [MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) computes quick shift on the
%   image I. KERNELSIZE is the bandwidth of the Parzen window estimator of
%   the density. Since searching over all pixels for the nearest
%   neighbor which increases the density would be prohibitively
%   expensive, MAXDIST controls the maximum L2 distance between neighbors
%   that should be linked. MAP and GAP represent the resulting forest
%   of trees. They are array of the same size of I.  Each element
%   (pixel) of MAP is and index to the parent elemen in the forest and
%   GAP contains the corresponding branch length. Pixels which are at
%   the root of their respective tree have MAP(x) = x and GAPS(x) =
%   inf.
%
%   [MAP,GAPS,E] = VL_QUICKSHIFT(I, KERNELSIZE, MAXDIST) also returns the estimate
%   of the density E.
%
%   [MAP,GAPS] = VL_QUICKSHIFT(I, KERNELSIZE) uses a default MAXDIST of 3 * KERNELSIZE.
%
%   Notes::
%     The distance between pixels is always measured in image
%     coordinates (not normalized), so the importance of the color
%     component should be weighted accordingly before calling this
%     function.
%
%   Options:
%
%   Verbose::
%     Toggles verbose output.
%
%   Medoid::
%     Run medoid shift instead of quick shift.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/quickshift/vl_quickvis.m000066400000000000000000000071601203326130700214460ustar00rootroot00000000000000function [Iedge dists map gaps] = vl_quickvis(I, ratio, kernelsize, maxdist, maxcuts)
% VL_QUICKVIS Create an edge image from a Quickshift segmentation.
%   IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) creates an edge
%   stability image from a Quickshift segmentation. RATIO controls the tradeoff
%   between color consistency and spatial consistency (See VL_QUICKSEG) and
%   KERNELSIZE controls the bandwidth of the density estimator (See VL_QUICKSEG,
%   VL_QUICKSHIFT). MAXDIST is the maximum distance between neighbors which
%   increase the density.
%
%   VL_QUICKVIS takes at most MAXCUTS thresholds less than MAXDIST, forming at
%   most MAXCUTS segmentations. The edges between regions in each of these
%   segmentations are labeled in IEDGE, where the label corresponds to the
%   largest DIST which preserves the edge.
%
%   [IEDGE,DISTS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS) also
%   returns the DIST thresholds that were chosen.
%
%   IEDGE = VL_QUICKVIS(I, RATIO, KERNELSIZE, DISTS) will use the DISTS
%   specified
%
%   [IEDGE,DISTS,MAP,GAPS] = VL_QUICKVIS(I, RATIO, KERNELSIZE, MAXDIST, MAXCUTS)
%   also returns the MAP and GAPS from VL_QUICKSHIFT.
%
%   See Also: VL_QUICKSHIFT(), VL_QUICKSEG(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin == 4
  dists = maxdist;
  maxdist = max(dists);
  [Iseg labels map gaps E] = vl_quickseg(I, ratio, kernelsize, maxdist);
else
  [Iseg labels map gaps E] = vl_quickseg(I, ratio, kernelsize, maxdist);
  dists = unique(floor(gaps(:)));
  dists = dists(2:end-1); % remove the inf thresh and the lowest level thresh
  if length(dists) > maxcuts
    ind = round(linspace(1,length(dists), maxcuts));
    dists = dists(ind);
  end
end

[Iedge dists] = mapvis(map, gaps, dists);

function [Iedge dists] = mapvis(map, gaps, maxdist, maxcuts)
% MAPVIS Create an edge image from a Quickshift segmentation.
%   IEDGE = MAPVIS(MAP, GAPS, MAXDIST, MAXCUTS) creates an edge
%   stability image from a Quickshift segmentation. MAXDIST is the maximum
%   distance between neighbors which increase the density.
%
%   MAPVIS takes at most MAXCUTS thresholds less than MAXDIST, forming at most
%   MAXCUTS segmentations. The edges between regions in each of these
%   segmentations are labeled in IEDGE, where the label corresponds to the
%   largest DIST which preserves the edge.
%
%   [IEDGE,DISTS] = MAPVIS(MAP, GAPS, MAXDIST, MAXCUTS) also returns the DIST
%   thresholds that were chosen.
%
%   IEDGE = MAPVIS(MAP, GAPS, DISTS) will use the DISTS specified
%
% See Also: VL_QUICKVIS, VL_QUICKSHIFT, VL_QUICKSEG

if nargin == 3
  dists = maxdist;
  maxdist = max(dists);
else
  dists = unique(floor(gaps(:)));
  dists = dists(2:end-1); % remove the inf thresh and the lowest level thresh
  % throw away min region size instead of maxdist?
  ind = find(dists < maxdist);
  dists = dists(ind);
  if length(dists) > maxcuts
    ind = round(linspace(1,length(dists), maxcuts));
    dists = dists(ind);
  end
end


Iedge = zeros(size(map));

for i = 1:length(dists)
  s = find(gaps >= dists(i));
  mapdist = map;
  mapdist(s) = s;
  [mapped labels] = vl_flatmap(mapdist);
  fprintf('%d/%d %d regions\n', i, length(dists), length(unique(mapped)))

  borders = getborders(mapped);

  Iedge(borders) = dists(i);
  %Iedge(borders) = Iedge(borders) + 1;
  %Iedge(borders) = i;
end

%%%%%%%%% GETBORDERS
function borders = getborders(map)

dx = conv2(map, [-1 1], 'same');
dy = conv2(map, [-1 1]', 'same');
borders = find(dx ~= 0 | dy ~= 0);
vlfeat-0.9.16/toolbox/sift/000077500000000000000000000000001203326130700155205ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/sift/vl_covdet.c000066400000000000000000000574771203326130700176750ustar00rootroot00000000000000/** @internal @file covdet.c
 ** @brief Covariant Detector - MEX
 ** @author Karel Lenc
 ** @author Andrea Vedaldi
 ** @author Michal Perdoch
 **/

/*
Copyright (C) 2007-12 Karel Lencl, Andrea Vedaldi and Michal Perdoch.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 
#include 

#include 
#include 

/* option codes */
enum {
  opt_method = 0,
  opt_octave_resolution,
  opt_double_image,
  opt_peak_threshold,
  opt_edge_threshold,
  opt_estimate_orientation,
  opt_estimate_affine_shape,
  opt_frames,
  opt_descriptor,
  opt_patch_resolution,
  opt_patch_relative_smoothing,
  opt_patch_relative_extent,
  opt_verbose
} ;

/* options */
vlmxOption  options [] = {
  {"Method",                1,   opt_method                  },
  {"OctaveResolution",      1,   opt_octave_resolution       },
  {"DoubleImage",           1,   opt_double_image            },
  {"PeakThreshold",         1,   opt_peak_threshold          },
  {"EdgeThreshold",         1,   opt_edge_threshold          },

  {"EstimateOrientation",   1,   opt_estimate_orientation    },
  {"EstimateAffineShape",   1,   opt_estimate_affine_shape   },

  {"Frames",                1,   opt_frames                  },

  {"Descriptor",            1,   opt_descriptor              },
  {"PatchResolution",       1,   opt_patch_resolution        },
  {"PatchRelativeExtent",   1,   opt_patch_relative_extent   },
  {"PatchRelativeSmoothing",1,   opt_patch_relative_smoothing},
  {"Verbose",               0,   opt_verbose                 },
  {0,                       0,   0                           }
} ;


/** @brief Types of feature frames */
typedef enum _VlCovDetDescritporType {
  VL_COVDET_DESC_NONE = 0,
  VL_COVDET_DESC_PATCH,
  VL_COVDET_DESC_SIFT,
  VL_COVDET_DESC_NUM
} VlCovDetDescriptorType ;

const char* vlCovDetDescriptorNames [VL_COVDET_DESC_NUM] =
{
  "None", "Patch", "SIFT"
} ;

VlEnumerator vlCovDetDescriptorTypes [VL_COVDET_DESC_NUM] =
{
  {"None" ,   (vl_index)VL_COVDET_DESC_NONE             },
  {"Patch",   (vl_index)VL_COVDET_DESC_PATCH            },
  {"SIFT",    (vl_index)VL_COVDET_DESC_SIFT             }
} ;

/** ------------------------------------------------------------------
 ** @brief Export scale space into a MATLAB structure
 ** @param ss Pointer to the scale space to be xported
 ** @return Pointer to matlab structure with the scale space
 **/
static mxArray *
_createArrayFromScaleSpace(VlScaleSpace const *ss)
{
  mxArray *data_array = NULL;
  vl_size numOctaves, numSubdivisions ;
  vl_index o ;
  VlScaleSpaceGeometry geom ;

  if (ss == NULL) {
    return mxCreateDoubleMatrix(0,0,mxREAL);
  }

  geom = vl_scalespace_get_geometry(ss) ;

  numOctaves = geom.lastOctave - geom.firstOctave + 1 ;
  numSubdivisions = geom.octaveLastSubdivision - geom.octaveFirstSubdivision + 1 ;

  data_array = mxCreateCellMatrix(1, numOctaves);
  for (o = geom.firstOctave ; o <= geom.lastOctave ; ++o) {
    VlScaleSpaceOctaveGeometry oct = vl_scalespace_get_octave_geometry(ss, o) ;
    float const * octave = vl_scalespace_get_level(ss, o, geom.octaveFirstSubdivision) ;
    mwSize dims [3] = {oct.width, oct.height, numSubdivisions} ;
    mxArray * octave_array = mxCreateNumericArray(3, dims, mxSINGLE_CLASS, mxREAL) ;
    memcpy(mxGetData(octave_array),
           octave, oct.width * oct.height * numSubdivisions * sizeof(float)) ;
    mxSetCell(data_array, o - geom.firstOctave, octave_array) ;
  }

  {
    const char* names[] = {
      "firstOctave",
      "lastOctave",
      "octaveResolution",
      "octaveFirstSubdivision",
      "octaveLastSubdivision",
      "sigma0",
      "data" };
    mxArray * array = mxCreateStructMatrix(1, 1, 7, names) ;
    mxSetFieldByNumber(array, 0, 0, vlmxCreatePlainScalar((double)geom.firstOctave)) ;
    mxSetFieldByNumber(array, 0, 1, vlmxCreatePlainScalar((double)geom.lastOctave)) ;
    mxSetFieldByNumber(array, 0, 2, vlmxCreatePlainScalar((double)geom.octaveResolution)) ;
    mxSetFieldByNumber(array, 0, 3, vlmxCreatePlainScalar((double)geom.octaveFirstSubdivision)) ;
    mxSetFieldByNumber(array, 0, 4, vlmxCreatePlainScalar((double)geom.octaveLastSubdivision)) ;
    mxSetFieldByNumber(array, 0, 5, vlmxCreatePlainScalar(geom.sigma0)) ;
    mxSetFieldByNumber(array, 0, 6, data_array);
    return array ;
  }
}

/** ------------------------------------------------------------------
 ** @internal @brief Transpose desriptor
 ** @param dst destination buffer.
 ** @param src source buffer.
 **
 ** The function writes to @a dst the transpose of the SIFT descriptor
 ** @a src. The tranpsose is defined as the descriptor that one
 ** obtains from computing the normal descriptor on the transposed
 ** image.
 **/

static void
flip_descriptor (float *dst, float const *src)
{
  int const BO = 8 ;  /* number of orientation bins */
  int const BP = 4 ;  /* number of spatial bins     */
  int i, j, t ;

  for (j = 0 ; j < BP ; ++j) {
    int jp = BP - 1 - j ;
    for (i = 0 ; i < BP ; ++i) {
      int o  = BO * i + BP*BO * j  ;
      int op = BO * i + BP*BO * jp ;
      dst [op] = src[o] ;
      for (t = 1 ; t < BO ; ++t)
        dst [BO - t + op] = src [t + o] ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_I = 0, IN_END} ;
  enum {OUT_FRAMES=0, OUT_DESCRIPTORS, OUT_INFO, OUT_END} ;

  int verbose = 0 ;
  int opt ;
  int next = IN_END ;
  mxArray const *optarg ;
  VlEnumerator *pair ;

  float const *image ;
  vl_size numCols, numRows ;

  VlCovDetMethod method = VL_COVDET_METHOD_DOG;
  vl_bool estimateAffineShape = VL_FALSE ;
  vl_bool estimateOrientation = VL_FALSE ;

  vl_bool doubleImage = VL_TRUE ;
  vl_index octaveResolution = -1 ;
  double edgeThreshold = -1 ;
  double peakThreshold = -1 ;

  int descriptorType = -1 ;
  vl_index patchResolution = -1 ;
  double patchRelativeExtent = -1 ;
  double patchRelativeSmoothing = -1 ;
  float *patch = NULL ;
  float *patchXY = NULL ;

  double boundaryMargin = 2.0 ;

  double * userFrames = NULL ;
  vl_size userFrameDimension = 0 ;
  vl_size numUserFrames = 0 ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < IN_END) {
    vlmxError(vlmxErrNotEnoughInputArguments, 0) ;
  } else if (nout > OUT_END) {
    vlmxError(vlmxErrTooManyOutputArguments, 0) ;
  }

  if (mxGetNumberOfDimensions(IN(I)) != 2 ||
      mxGetClassID(IN(I)) != mxSINGLE_CLASS){
    vlmxError(vlmxErrInvalidArgument, "I must be a matrix of class SINGLE.") ;
  }

  image = (float*) mxGetData(IN(I)) ;
  numRows = mxGetM(IN(I)) ;
  numCols = mxGetN(IN(I)) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {

    switch (opt) {

    case opt_verbose :
      ++ verbose ;
      break ;

    case opt_method:
      pair = vlmxDecodeEnumeration(optarg, vlCovdetMethods, VL_TRUE) ;
      if (pair == NULL) {
        vlmxError(vlmxErrInvalidArgument, "METHOD is not a supported detection method.") ;
      }
      method = (VlCovDetMethod)pair->value ;
      break;

      case opt_descriptor:
        pair = vlmxDecodeEnumeration(optarg, vlCovDetDescriptorTypes, VL_TRUE) ;
        if (pair == NULL) {
          vlmxError(vlmxErrInvalidArgument, "DESCRIPTOR is not a supported descriptor.") ;
        }
        descriptorType = (VlCovDetDescriptorType)pair->value ;
        break;

    case opt_estimate_affine_shape:
      if (!mxIsLogicalScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "ESTIMATEAFFINESHAPE must be a logical scalar value.") ;
      } else {
        estimateAffineShape = *mxGetLogicals(optarg) ;
      }
      break ;

    case opt_estimate_orientation:
      if (!mxIsLogicalScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "ESTIMATEORIENTATION must be a logical scalar value.") ;
      } else {
        estimateOrientation = *mxGetLogicals(optarg);
      }
      break ;

    case opt_double_image:
      if (!mxIsLogicalScalar(optarg)) {
        vlmxError(vlmxErrInvalidArgument, "DOUBLEIMAGE must be a logical scalar value.") ;
      } else {
        doubleImage = *mxGetLogicals(optarg);
      }
      break ;

    case opt_octave_resolution :
      if (!vlmxIsPlainScalar(optarg) || (octaveResolution = (vl_index)*mxGetPr(optarg)) < 1) {
        vlmxError(vlmxErrInvalidArgument, "OCTAVERESOLUTION must be an integer not smaller than 1.") ;
      }
      break ;

    case opt_edge_threshold :
      if (!vlmxIsPlainScalar(optarg) || (edgeThreshold = *mxGetPr(optarg)) < 1) {
        vlmxError(vlmxErrInvalidArgument, "EDGETHRESHOLD must be a real not smaller than 1.") ;
      }
      break ;

    case opt_peak_threshold :
      if (!vlmxIsPlainScalar(optarg) || (peakThreshold = *mxGetPr(optarg)) < 0) {
        vlmxError(vlmxErrInvalidArgument, "PEAKTHRESHOLD must be a non-negative real.") ;
      }
      break ;

    case opt_patch_relative_smoothing :
      if (!vlmxIsPlainScalar(optarg) || (patchRelativeSmoothing = *mxGetPr(optarg)) < 0) {
        vlmxError(vlmxErrInvalidArgument, "PATCHRELATIVESMOOTHING must be a non-negative real.") ;
      }
      break ;

    case opt_patch_relative_extent :
      if (!vlmxIsPlainScalar(optarg) || (patchRelativeExtent = *mxGetPr(optarg)) <= 0) {
        vlmxError(vlmxErrInvalidArgument, "PATCHRELATIVEEXTENT must be a posiive real.") ;
      }
      break ;

    case opt_patch_resolution :
      if (!vlmxIsPlainScalar(optarg) || (patchResolution = (vl_index)*mxGetPr(optarg)) <= 0) {
        vlmxError(vlmxErrInvalidArgument, "PATCHRESOLUTION must be a positive integer.") ;
      }
      break ;

    case opt_frames:
      if (!vlmxIsPlainMatrix(optarg,-1,-1)) {
        vlmxError(vlmxErrInvalidArgument, "FRAMES must be a palin matrix.") ;
      }
      numUserFrames = mxGetN (optarg) ;
      userFrameDimension = mxGetM (optarg) ;
      userFrames = mxGetPr (optarg) ;
      switch (userFrameDimension) {
        case 2:
        case 3:
        case 4:
        case 5:
        case 6:
            /* ok */
          break ;
        default:
          vlmxError(vlmxErrInvalidArgument,
                    "FRAMES of dimensions %d are not recognised",
                    userFrameDimension); ;
      }
      break ;

    default :
      abort() ;
    }
  }

  if (descriptorType < 0) descriptorType = VL_COVDET_DESC_SIFT ;

  switch (descriptorType) {
    case VL_COVDET_DESC_NONE :
      break ;

    case VL_COVDET_DESC_PATCH :
      if (patchResolution < 0)  patchResolution = 20 ;
      if (patchRelativeExtent < 0) patchRelativeExtent = 6 ;
      if (patchRelativeSmoothing < 0) patchRelativeSmoothing = 1 ;
      break ;

    case VL_COVDET_DESC_SIFT :
      /* the patch parameters are selected to match the SIFT descriptor geometry */
      if (patchResolution < 0)  patchResolution = 15 ;
      if (patchRelativeExtent < 0) patchRelativeExtent = 7.5 ;
      if (patchRelativeSmoothing < 0) patchRelativeSmoothing = 1 ;
      break ;
  }



  if (patchResolution > 0) {
    vl_size w = 2*patchResolution + 1 ;
    patch = mxMalloc(sizeof(float) * w * w);
    patchXY = mxMalloc(2 * sizeof(float) * w * w);
  }

  /* -----------------------------------------------------------------
   *                                                          Detector
   * -------------------------------------------------------------- */
  {
    VlCovDet * covdet = vl_covdet_new(method) ;

    /* set covdet parameters */
    vl_covdet_set_transposed(covdet, VL_TRUE) ;
    vl_covdet_set_first_octave(covdet, doubleImage ? -1 : 0) ;
    if (octaveResolution >= 0) vl_covdet_set_octave_resolution(covdet, octaveResolution) ;
    if (peakThreshold >= 0) vl_covdet_set_peak_threshold(covdet, peakThreshold) ;
    if (edgeThreshold >= 0) vl_covdet_set_edge_threshold(covdet, edgeThreshold) ;

    if (verbose) {
      VL_PRINTF("vl_covdet: doubling image: %s\n",
                VL_YESNO(vl_covdet_get_first_octave(covdet) < 0)) ;
    }

    /* process the image */
    vl_covdet_put_image(covdet, image, numRows, numCols) ;

    /* fill with frames: eitehr run the detector of poure them in */
    if (numUserFrames > 0) {
      vl_index k ;

      if (verbose) {
        mexPrintf("vl_covdet: sourcing %d frames\n", numUserFrames) ;
      }

      for (k = 0 ; k < (signed)numUserFrames ; ++k) {
        double const * uframe = userFrames + userFrameDimension * k ;
        double a11, a21, a12, a22 ;
        VlCovDetFeature feature ;
        feature.peakScore = VL_INFINITY_F ;
        feature.edgeScore = 1.0 ;
        feature.frame.x = (float)uframe[1] - 1 ;
        feature.frame.y = (float)uframe[0] - 1 ;

        switch (userFrameDimension) {
          case 2:
            a11 = 1.0 ;
            a21 = 0.0 ;
            a12 = 0.0 ;
            a22 = 1.0 ;
            break ;
          case 3:
            a11 = uframe[2] ;
            a21 = 0.0 ;
            a12 = 0.0 ;
            a22 = uframe[2] ;
            break ;
          case 4:
          {
            double sigma = uframe[2] ;
            double c = cos(uframe[3]) ;
            double s = sin(uframe[3]) ;
            a11 = sigma * c ;
            a21 = sigma * s ;
            a12 = sigma * (-s) ;
            a22 = sigma * c ;
            break ;
          }
          case 5:
          {
            double d2 ;
            if (uframe[2] < 0) {
              vlmxError(vlmxErrInvalidArgument, "FRAMES(:,%d) does not have a PSD covariance.", k+1) ;
            }
            a11 = sqrt(uframe[2]) ;
            a21 = uframe[3] / VL_MAX(a11, 1e-10) ;
            a12 = 0.0 ;
            d2 = uframe[4] - a21*a21 ;
            if (d2 < 0) {
              vlmxError(vlmxErrInvalidArgument, "FRAMES(:,%d) does not have a PSD covariance.", k+1) ;
            }
            a22 = sqrt(d2) ;
            break ;
          }
          case 6:
          {
            a11 = uframe[2] ;
            a21 = uframe[3] ;
            a12 = uframe[4] ;
            a22 = uframe[5] ;
            break ;
          }
          default:
            a11 = 0 ;
            a21 = 0 ;
            a12 = 0 ;
            a22 = 0 ;
            assert(0) ;
        }
        feature.frame.a11 = (float)a22 ;
        feature.frame.a21 = (float)a12 ;
        feature.frame.a12 = (float)a21 ;
        feature.frame.a22 = (float)a11 ;
        vl_covdet_append_feature(covdet, &feature) ;
      }
    } else {
      if (verbose) {
        mexPrintf("vl_covdet: detector: %s\n",
                  vl_enumeration_get_by_value(vlCovdetMethods, method)->name) ;
        mexPrintf("vl_covdet: peak threshold: %g, edge threshold: %g\n",
                  vl_covdet_get_peak_threshold(covdet),
                  vl_covdet_get_edge_threshold(covdet)) ;
      }

      vl_covdet_detect(covdet) ;

      if (verbose) {
        vl_index i ;
        vl_size numFeatures = vl_covdet_get_num_features(covdet) ;
        mexPrintf("vl_covdet: %d features suppressed as duplicate (threshold: %g)\n",
                  vl_covdet_get_num_non_extrema_suppressed(covdet),
                  vl_covdet_get_non_extrema_suppression_threshold(covdet)) ;
        switch (method) {
        case VL_COVDET_METHOD_HARRIS_LAPLACE:
        case VL_COVDET_METHOD_HESSIAN_LAPLACE:
          {
            vl_size numScales ;
            vl_size const * numFeaturesPerScale ;
            numFeaturesPerScale = vl_covdet_get_laplacian_scales_statistics
              (covdet, &numScales) ;
            mexPrintf("vl_covdet: Laplacian scales:") ;
            for (i = 0 ; i <= (signed)numScales ; ++i) {
              mexPrintf("%d with %d scales;", numFeaturesPerScale[i], i) ;
            }
            mexPrintf("\n") ;
          }
          break ;
        default:
          break ;
        }
        mexPrintf("vl_covdet: detected %d features\n", numFeatures) ;
      }

      if (boundaryMargin > 0) {
        vl_covdet_drop_features_outside (covdet, boundaryMargin) ;
        if (verbose) {
          vl_size numFeatures = vl_covdet_get_num_features(covdet) ;
          mexPrintf("vl_covdet: kept %d inside the boundary margin (%g)\n",
                    numFeatures, boundaryMargin) ;
        }
      }
    }

    /* affine adaptation if needed */
    if (estimateAffineShape) {
      if (verbose) {
        vl_size numFeaturesBefore = vl_covdet_get_num_features(covdet) ;
        mexPrintf("vl_covdet: estimating affine shape for %d features\n", numFeaturesBefore) ;
      }

      vl_covdet_extract_affine_shape(covdet) ;

      if (verbose) {
        vl_size numFeaturesAfter = vl_covdet_get_num_features(covdet) ;
        mexPrintf("vl_covdet: %d features passed affine adaptation\n", numFeaturesAfter) ;
      }
    }

    /* orientation estimation if needed */
    if (estimateOrientation) {
      if (verbose) {
        vl_size numFeaturesBefore = vl_covdet_get_num_features(covdet) ;
        mexPrintf("vl_covdet: estimating orientations for %d features\n", numFeaturesBefore) ;
      }

      vl_covdet_extract_orientations(covdet) ;

      if (verbose) {
        vl_size numFeaturesAfter = vl_covdet_get_num_features(covdet) ;
        mexPrintf("vl_covdet: %d features after estimating orientations\n", numFeaturesAfter) ;
      }

    }

    /* store results back */
    {
      vl_index i  ;
      vl_size numFeatures = vl_covdet_get_num_features(covdet) ;
      VlCovDetFeature const * feature = vl_covdet_get_features(covdet);
      double * pt ;

      OUT(FRAMES) = mxCreateDoubleMatrix (6, numFeatures, mxREAL) ;
      pt = mxGetPr(OUT(FRAMES)) ;

      for (i = 0 ; i < (signed)numFeatures ; ++i) {
        /* save the transposed frame, adjust origin to MATLAB's*/
        *pt++ = feature[i].frame.y + 1 ;
        *pt++ = feature[i].frame.x + 1 ;
        *pt++ = feature[i].frame.a22 ;
        *pt++ = feature[i].frame.a12 ;
        *pt++ = feature[i].frame.a21 ;
        *pt++ = feature[i].frame.a11 ;
      }
    }

    if (nout >= 2) {
      //      descriptorType = DESC_NONE;
      switch (descriptorType) {
        case VL_COVDET_DESC_NONE:
          OUT(DESCRIPTORS) = mxCreateDoubleMatrix(0,0,mxREAL);
          break ;

        case VL_COVDET_DESC_PATCH:
        {
		  vl_size numFeatures ;
		  VlCovDetFeature const * feature ;
          vl_index i ;
          vl_size w = 2*patchResolution + 1 ;
          float * desc ;

          if (verbose) {
            mexPrintf("vl_covdet: descriptors: type=patch, "
                      "resolution=%d, extent=%g, smoothing=%g\n",
                      patchResolution, patchRelativeExtent,
                      patchRelativeSmoothing);
          }
          numFeatures = vl_covdet_get_num_features(covdet) ;
          feature = vl_covdet_get_features(covdet);
          OUT(DESCRIPTORS) = mxCreateNumericMatrix(w*w, numFeatures, mxSINGLE_CLASS, mxREAL) ;
          desc = mxGetData(OUT(DESCRIPTORS)) ;
          for (i = 0 ; i < (signed)numFeatures ; ++i) {
            vl_covdet_extract_patch_for_frame(covdet,
                                    desc,
                                    patchResolution,
                                    patchRelativeExtent,
                                    patchRelativeSmoothing,
                                    feature[i].frame) ;
            desc += w*w ;
          }
          break ;
        }
        case VL_COVDET_DESC_SIFT:
        {
          vl_size numFeatures = vl_covdet_get_num_features(covdet) ;
          VlCovDetFeature const * feature = vl_covdet_get_features(covdet);
          VlSiftFilt * sift = vl_sift_new(16, 16, 1, 3, 0) ;
          vl_index i ;
          vl_size dimension = 128 ;
          vl_size patchSide = 2 * patchResolution + 1 ;
          double patchStep = (double)patchRelativeExtent / patchResolution ;
          float tempDesc [128] ;
          float * desc ;
          if (verbose) {
            mexPrintf("vl_covdet: descriptors: type=sift, "
                      "resolution=%d, extent=%g, smoothing=%g\n",
                      patchResolution, patchRelativeExtent,
                      patchRelativeSmoothing);
          }
          OUT(DESCRIPTORS) = mxCreateNumericMatrix(dimension, numFeatures, mxSINGLE_CLASS, mxREAL) ;
          desc = mxGetData(OUT(DESCRIPTORS)) ;
          vl_sift_set_magnif(sift, 3.0) ;
          for (i = 0 ; i < (signed)numFeatures ; ++i) {
            vl_covdet_extract_patch_for_frame(covdet,
                                              patch,
                                              patchResolution,
                                              patchRelativeExtent,
                                              patchRelativeSmoothing,
                                              feature[i].frame) ;

            vl_imgradient_polar_f (patchXY, patchXY +1,
                                   2, 2 * patchSide,
                                   patch, patchSide, patchSide, patchSide) ;


            /*
             Note: the patch is transposed, so that x and y are swapped.
             However, if NBO is not divisible by 4, then the configuration
             of the SIFT orientations is not symmetric by rotations of pi/2.
             Hence the only option is to rotate the descriptor further by
             an angle we need to compute the descriptor rotaed by an additional pi/2
             angle. In this manner, x concides and y is flipped.
             */
            vl_sift_calc_raw_descriptor (sift,
                                         patchXY,
                                         tempDesc,
                                         (int)patchSide, (int)patchSide,
                                         (double)(patchSide-1) / 2, (double)(patchSide-1) / 2,
                                         (double)patchRelativeExtent / (3.0 * (4 + 1) / 2) /
                                         patchStep,
                                         VL_PI / 2) ;

            //VL_PRINTF("%g\n", (double)patchRelativeExtent / (3.0 * (4 + 1) / 2)) ;

            flip_descriptor (desc, tempDesc) ;
            desc += dimension ;
          }
          vl_sift_delete(sift) ;
          break ;
        }
        default:
          assert(0) ; /* descriptor type */
      }
    }

    if (nout >= 3) {
      vl_index i ;
      vl_size numFeatures = vl_covdet_get_num_features(covdet) ;
      VlCovDetFeature const * feature = vl_covdet_get_features(covdet);
      const char* names[] = {
        "gss",
        "css",
        "peakScores",
        "edgeScores",
        "orientationScore",
        "laplacianScaleScore"
      };
      mxArray * gss_array = _createArrayFromScaleSpace(vl_covdet_get_gss(covdet)) ;
      mxArray * css_array = _createArrayFromScaleSpace(vl_covdet_get_css(covdet)) ;
      mxArray * peak_array = mxCreateNumericMatrix(1,numFeatures,mxSINGLE_CLASS,mxREAL) ;
      mxArray * edge_array = mxCreateNumericMatrix(1,numFeatures,mxSINGLE_CLASS,mxREAL) ;
      mxArray * orientation_array = mxCreateNumericMatrix(1,numFeatures,mxSINGLE_CLASS,mxREAL) ;
      mxArray * laplacian_array = mxCreateNumericMatrix(1,numFeatures,mxSINGLE_CLASS,mxREAL) ;

      float * peak = mxGetData(peak_array) ;
      float * edge = mxGetData(edge_array) ;
      float * orientation = mxGetData(orientation_array) ;
      float * laplacian = mxGetData(laplacian_array) ;
      for (i = 0 ; i < (signed)numFeatures ; ++i) {
        peak[i] = feature[i].peakScore ;
        edge[i] = feature[i].edgeScore ;
        orientation[i] = feature[i].orientationScore ;
        laplacian[i] = feature[i].laplacianScaleScore ;
      }

      OUT(INFO) = mxCreateStructMatrix(1, 1, 6, names) ;
      mxSetFieldByNumber(OUT(INFO), 0, 0, gss_array) ;
      mxSetFieldByNumber(OUT(INFO), 0, 1, css_array) ;
      mxSetFieldByNumber(OUT(INFO), 0, 2, peak_array) ;
      mxSetFieldByNumber(OUT(INFO), 0, 3, edge_array) ;
      mxSetFieldByNumber(OUT(INFO), 0, 4, orientation_array) ;
      mxSetFieldByNumber(OUT(INFO), 0, 5, laplacian_array) ;
    }
    /* cleanup */
    vl_covdet_delete (covdet) ;
  }

  if (patchXY) mxFree(patchXY) ;
  if (patch) mxFree(patch) ;
}
vlfeat-0.9.16/toolbox/sift/vl_covdet.m000066400000000000000000000133261203326130700176700ustar00rootroot00000000000000% VL_COVDET  Covariant feature detectors and descriptors
%   VL_COVDET() implements a number of co-variant feature detectors
%   (e.g., DoG, Harris-Affine, Harris-Laplace) and allow to compute
%   corresponding feature descriptors (SIFT, raw patches).
%
%   F = VL_COVDET(I) detects upright scale and translation covariant
%   features based on the Difference of Gaussian (Dog) cornerness
%   measure from image I (a grayscale image of class SINGLE). F is in
%   the format of oriented ellipse feature frames (see VL_PLOTFRAME()
%   for the definition) even if features are only scale-invariant
%   (discs or oriented discs).
%
%   VL_COVDET(I, 'Method', METHOD) allows using one of the
%   following methods instead:
%
%   DoG::
%     The Difference of Gaussians is an approximate version of the
%     multiscale trace of Laplacian operator [1].
%
%   Hessian::
%     Determinant Hessian operator [2].
%
%   HessianLaplace::
%     Determinant of Hessian for space localisation, trace of
%     Laplacian for scale detection [2].
%
%   HarrisLaplace::
%     Harris cornerness measure for space localisation, trace
%     of Laplacian for scale detection [2].
%
%   MultiscaleHessian::
%     Same as HessianLaplace, but Laplacian scale detection is not
%     performend (features are simply detected at multiple scales) [2].
%
%   MultiscaleHarris::
%     Same as HarrisLaplace, but Laplacian scale detection is not
%     performend (features are simply detected at multiple scales) [2].
%
%   The number of detected features is affected by the
%   'PeakThreshold', which sets the minimum absolute vale of the
%   cornerness measure to accept a feature. A larger threshold select
%   fewer features. To adjust the threshold, the score of the detected
%   features can be obtained in the INFO structure (see later).
%
%   Features can also be filtered by setting the 'EdgeThreshold'
%   parameters, which sets an upper bound on the ratio of the maxium
%   over the minium curvature of the cornerness measure at the
%   detected location. The idea is that unbalanced curvatures
%   correspond to features detected along image edges, and should
%   therefore be discarded as spatially unstable.
%
%   VL_COVDET(..., 'EstimateAffineShape', true) switches on affine
%   adaptation, which attempts to estimate the affine co-variant shape
%   of each feature based on the algorihtm of [2].
%
%   VL_COVDET(..., 'EstimateOrientations', true) switches on the
%   estimation of the orientation of features (which are therefore not
%   upright anymore) []. Note that more than one orientation can be
%   associated to each feature, creating copies of them.
%
%   VL_COVDET(..., 'Frames', F) allows to specify user defined frames
%   F. This skips detection, but estimating the affine shape or the
%   orietnations can still be applied. Moreover, descriptors for these
%   frames can be computed.
%
%   [F,D] = VL_COVDET(I, ...) computes the SIFT descriptors [1] for
%   the detected features. Each column of D is the descriptor of the
%   corresponding frame in F. A descriptor is a 128-dimensional vector
%   of class SINGLE. The same format of VL_SIFT() is used. SIFT
%   features are computed on normalised image patches that are
%   affected by the parameters explained next (for example, to comptue
%   SIFT on a larger measurement reagion, increase the value of
%   PatchRelativeExtent.
%
%   [F,D] = VL_COVDET(I, 'descriptor', 'patch') can be used to extract
%   raw patches instead of SIFT descriptors. In this case, each column
%   of D is a stacked square image patch. The following parameters
%   can be used to control the produced patches:
%
%   PatchResolution:: 15
%     The size of the patch R in pixel. Specifically, the patch is a
%     square of side 2*R+1 pixels.
%
%   PatchRelativeExtent:: 7.5
%     The extent E of the patch in the feature frame. A feature F
%     define a mapping from the feature reference frame to the image
%     reference frame as an affine transformation A,T (see
%     VL_PLOTFRAME()). The patch is a square [-E, E]^2 in this frame
%     (transform this square by A,T to find the extent in the image).
%
%   PatchRelativeSigma: 1.0
%     The smoothing SIGMA of the patch in the patch frame. The
%     computed patch can be thought as being obtained by first
%     warping the image (as a continous signal) by A,T, then
%     smoothing the results by SIGMA, and then sampling.
%
%   [F,D,INFO] = VL_COVDET(...) returns an additiona structure INFO
%   with the following members:
%
%   info.peakScores::
%     The peak scores of the detected features.
%
%   info.edgeScores::
%     The edge scores of the detected features.
%
%   info.gss::
%     The Gaussian scale space (see VL_PLOTSS()).
%
%   info.css::
%     The cornerness measure scale space (see VL_PLOTSS()).
%
%   The function supports the following options:
%
%   OctaveResolution:: 3
%     The number of scale levels sampled per octave when constructing
%     the scale spaces.
%
%   DoubleImage:: true
%     Whether to double the image before extracting features. This
%     allows to detect features at a smoothing level of 0.5 and up
%     rathern than 1.0 and up, resulting in many more small
%     features being detected.
%
%   Verbose::
%     If specified, it incerases the verbosity level.
%
%   REFERENCES::
%   [1] D. G. Lowe, Distinctive image features from scale-invariant
%   keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.
%
%   [2] K. Mikolajcyk and C. Schmid, An affine invariant interest
%   point detector. ICCV, vol. 2350, pp. 128-142, 2002.
%
%   See also: VL_SIFT(), VL_PLOTFRAME(), VL_PLOTSS(), VL_HELP().

% Copyright (C) 2007-12 Karel Lenc, Andrea Vedaldi, and Michal Perdoch
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/sift/vl_dsift.c000066400000000000000000000206711203326130700175040ustar00rootroot00000000000000/** @internal
 ** @file     dsift.c
 ** @author   Andrea Vedaldi
 ** @brief    Dense Feature Transform (SIFT) - MEX
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

#include 
#include 

/* option codes */
enum {
  opt_step = 0,
  opt_bounds,
  opt_size,
  opt_fast,
  opt_norm,
  opt_window_size,
  opt_float_descriptors,
  opt_verbose
} ;

/* options */
vlmxOption  options [] = {
{"Bounds",           1,   opt_bounds           },
{"Step",             1,   opt_step             },
{"Size",             1,   opt_size             },
{"Fast",             0,   opt_fast             },
{"Norm",             0,   opt_norm             },
{"WindowSize",       1,   opt_window_size      },
{"FloatDescriptors", 0,   opt_float_descriptors},
{"Verbose",          0,   opt_verbose          },
{0,                  0,   0                    }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_I=0, IN_END} ;
  enum {OUT_FRAMES=0, OUT_DESCRIPTORS} ;

  int                verbose = 0 ;
  int                opt ;
  int                next = IN_END ;
  mxArray const     *optarg ;

  float const       *data ;
  int                M, N ;

  int                step = 1 ;
  int                size = 3 ;
  vl_bool            norm = 0 ;

  vl_bool floatDescriptors = VL_FALSE ;
  vl_bool useFlatWindow = VL_FALSE ;
  double windowSize = -1.0 ;

  double *bounds = NULL ;
  double boundBuffer [4] ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    vlmxError(vlmxErrNotEnoughInputArguments, NULL) ;
  } else if (nout > 2) {
    vlmxError(vlmxErrTooManyOutputArguments, NULL) ;
  }

  if (mxGetNumberOfDimensions (in[IN_I]) != 2              ||
      mxGetClassID            (in[IN_I]) != mxSINGLE_CLASS ) {
    vlmxError(vlmxErrInvalidArgument,
              "I must be a matrix of class SINGLE.") ;
  }

  data = (float*) mxGetData (in[IN_I]) ;
  M    = mxGetM (in[IN_I]) ;
  N    = mxGetN (in[IN_I]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {

      case opt_verbose :
        ++ verbose ;
        break ;

      case opt_fast :
        useFlatWindow = 1 ;
        break ;

      case opt_norm :
        norm = 1 ;
        break ;

      case opt_bounds :
        if (!vlmxIsPlainVector(optarg, 4)) {
          mexErrMsgTxt("BOUNDS must be a 4-dimensional vector.") ;
        }
        bounds = boundBuffer ;
        bounds [0] = mxGetPr(optarg)[0] - 1 ;
        bounds [1] = mxGetPr(optarg)[1] - 1 ;
        bounds [2] = mxGetPr(optarg)[2] - 1 ;
        bounds [3] = mxGetPr(optarg)[3] - 1 ;
        break ;

      case opt_size :
        if (!vlmxIsPlainScalar(optarg) || (size = (int) *mxGetPr(optarg)) <= 0) {
          vlmxError(vlmxErrInvalidArgument,"SIZE is not a scalar or it is negative.") ;
        }
        break ;

      case opt_step :
        if (!vlmxIsPlainScalar(optarg) || (step = (int) *mxGetPr(optarg)) <= 0) {
          vlmxError(vlmxErrInvalidArgument,"STEP is not a scalar or it is negative.") ;
        }
        break ;

      case opt_window_size :
        if (!vlmxIsPlainScalar(optarg) || (windowSize = *mxGetPr(optarg)) < 0) {
          vlmxError(vlmxErrInvalidArgument,"WINDOWSIZE is not a scalar or it is negative.") ;
        }
        break ;

      case opt_float_descriptors :
        floatDescriptors = VL_TRUE ;
        break ;

      default :
        abort() ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */
  {
    int numFrames ;
    int descrSize ;
    VlDsiftKeypoint const *frames ;
    VlDsiftDescriptorGeometry const *geom ;
    float const *descrs ;
    int k, i ;

    VlDsiftFilter *dsift ;

    /* note that the image received from MATLAB is transposed */
    dsift = vl_dsift_new_basic (M, N, step, size) ;
    if (bounds) {
      vl_dsift_set_bounds(dsift,
                          VL_MAX(bounds[1], 0),
                          VL_MAX(bounds[0], 0),
                          VL_MIN(bounds[3], M - 1),
                          VL_MIN(bounds[2], N - 1));
    }
    vl_dsift_set_flat_window(dsift, useFlatWindow) ;

    if (windowSize >= 0) {
      vl_dsift_set_window_size(dsift, windowSize) ;
    }

    numFrames = vl_dsift_get_keypoint_num (dsift) ;
    descrSize = vl_dsift_get_descriptor_size (dsift) ;
    geom = vl_dsift_get_geometry (dsift) ;

    if (verbose) {
      int stepX ;
      int stepY ;
      int minX ;
      int minY ;
      int maxX ;
      int maxY ;
      vl_bool useFlatWindow ;

      vl_dsift_get_steps (dsift, &stepY, &stepX) ;
      vl_dsift_get_bounds (dsift, &minY, &minX, &maxY, &maxX) ;
      useFlatWindow = vl_dsift_get_flat_window(dsift) ;

      mexPrintf("vl_dsift: image size         [W, H] = [%d, %d]\n", N, M) ;
      mexPrintf("vl_dsift: bounds:            [minX,minY,maxX,maxY] = [%d, %d, %d, %d]\n",
                minX+1, minY+1, maxX+1, maxY+1) ;
      mexPrintf("vl_dsift: subsampling steps: stepX=%d, stepY=%d\n", stepX, stepY) ;
      mexPrintf("vl_dsift: num bins:          [numBinT, numBinX, numBinY] = [%d, %d, %d]\n",
                geom->numBinT,
                geom->numBinX,
                geom->numBinY) ;
      mexPrintf("vl_dsift: descriptor size:   %d\n", descrSize) ;
      mexPrintf("vl_dsift: bin sizes:         [binSizeX, binSizeY] = [%d, %d]\n",
                geom->binSizeX,
                geom->binSizeY) ;
      mexPrintf("vl_dsift: flat window:       %s\n", VL_YESNO(useFlatWindow)) ;
      mexPrintf("vl_dsift: window size:       %g\n", vl_dsift_get_window_size(dsift)) ;
      mexPrintf("vl_dsift: num of features:   %d\n", numFrames) ;
    }

    vl_dsift_process (dsift, data) ;

    frames = vl_dsift_get_keypoints (dsift) ;
    descrs = vl_dsift_get_descriptors (dsift) ;

    /* ---------------------------------------------------------------
     *                                            Create output arrays
     * ------------------------------------------------------------ */
    {
      mwSize dims [2] ;

      dims [0] = descrSize ;
      dims [1] = numFrames ;

      if (floatDescriptors) {
        out[OUT_DESCRIPTORS] = mxCreateNumericArray
        (2, dims, mxSINGLE_CLASS, mxREAL) ;
      } else {
        out[OUT_DESCRIPTORS] = mxCreateNumericArray
        (2, dims, mxUINT8_CLASS, mxREAL) ;
      }

      dims [0] = norm ? 3 : 2 ;

      out[OUT_FRAMES] = mxCreateNumericArray
      (2, dims, mxDOUBLE_CLASS, mxREAL) ;
    }

    /* ---------------------------------------------------------------
     *                                                       Copy back
     * ------------------------------------------------------------ */
    {
      float *tmpDescr = mxMalloc(sizeof(float) * descrSize) ;
      double *outFrameIter = mxGetPr(out[OUT_FRAMES]) ;
      void *outDescrIter = mxGetData(out[OUT_DESCRIPTORS]) ;
      for (k = 0 ; k < numFrames ; ++k) {
        *outFrameIter++ = frames[k].y + 1 ;
        *outFrameIter++ = frames[k].x + 1 ;

        /* We have an implied / 2 in the norm, because of the clipping
           below */
        if (norm)
          *outFrameIter++ = frames [k].norm ;

        vl_dsift_transpose_descriptor (tmpDescr,
                                       descrs + descrSize * k,
                                       geom->numBinT,
                                       geom->numBinX,
                                       geom->numBinY) ;

        if (floatDescriptors) {
          for (i = 0 ; i < descrSize ; ++i) {
            float * pt = (float*) outDescrIter ;
            *pt++ = VL_MIN(512.0F * tmpDescr[i], 255.0F) ;
            outDescrIter = pt ;
          }
        } else {
          for (i = 0 ; i < descrSize ; ++i) {
            vl_uint8 * pt = (vl_uint8*) outDescrIter ;
            *pt++ = (vl_uint8) (VL_MIN(512.0F * tmpDescr[i], 255.0F)) ;
            outDescrIter = pt ;

          }
        }
      }
      mxFree(tmpDescr) ;
    }
    vl_dsift_delete (dsift) ;
  }
}
vlfeat-0.9.16/toolbox/sift/vl_dsift.m000066400000000000000000000120141203326130700175060ustar00rootroot00000000000000% VL_DSIFT  Dense SIFT
%   [FRAMES,DESCRS] = VL_DSIFT(I) extracts a dense set of SIFT
%   keypoints from image I. I must be of class SINGLE and grayscale.
%   FRAMES is a 2 x NUMKEYPOINTS, each colum storing the center (X,Y)
%   of a keypoint frame (all frames have the same scale and
%   orientation). DESCRS is a 128 x NUMKEYPOINTS matrix with one
%   descriptor per column, in the same format of VL_SIFT().
%
%   VL_DSIFT() does NOT compute a Gaussian scale space of the image
%   I. Instead, the image should be pre-smoothed at the desired scale
%   level, e.b. by using the VL_IMSMOOTH() function.
%
%   The scale of the extracted descriptors is controlled by the option
%   SIZE, i.e. the width in pixels of a spatial bin (recall that a
%   SIFT descriptor is a spatial histogram with 4 x 4 bins).
%
%   The sampling density is controlled by the option STEP, which is
%   the horizontal and vertical displacement of each feature cetner to
%   the next.
%
%   The sampled image area is controlled by the option BOUNDS,
%   defining a rectangle in which features are comptued. A descriptor
%   is included in the rectangle if all the centers of the spatial
%   bins are included. The upper-left descriptor is placed so that the
%   uppler-left spatial bin center is algined with the upper-left
%   corner of the rectangle.
%
%   By default, VL_DSIFT() computes features equivalent to
%   VL_SIFT(). However, the FAST option can be used to turn on an
%   variant of the descriptor (see VLFeat C API documentation for
%   further details) which, while not strictly equivalent, it is much
%   faster.
%
%   VL_DSIFT() accepts the following options:
%
%   Step:: [1]
%     Extracts a SIFT descriptor each STEP pixels.
%
%   Size:: [3]
%     A spatial bin covers SIZE pixels.
%
%   Bounds:: [whole image]
%     Specifies a rectangular area where descriptors should be
%     extracted. The format is [XMIN, YMIN, XMAX, YMAX]. If this
%     option is not specified, the entiere image is used.  The
%     bounding box is clipped to the image boundaries.
%
%   Norm::
%     If specified, adds to the FRAMES ouptut argument a third
%     row containint the descriptor norm, or engergy, before
%     contrast normalization. This information can be used to
%     suppress low contrast descriptors.
%
%   Fast::
%     If specified, use a piecewise-flat, rather than Gaussian,
%     windowing function. While this breaks exact SIFT equivalence,
%     in practice is much faster to compute.
%
%   FloatDescriptors::
%     If specified, the descriptor are returned in floating point
%     rather than integer format.
%
%   Verbose::
%     If specified, be verbose.
%
%   RELATION TO THE SIFT DETECTOR
%
%   In the standard SIFT detector/descriptor, implemented by
%   VL_SIFT(), the size of a spatial bin is related to the keypoint
%   scale by a multiplier, called magnification factor, and denoted
%   MAGNIF. Therefore, the keypoint scale corresponding to the
%   descriptors extracted by VL_DSIFT() is equal to SIZE /
%   MAGNIF. VL_DSIFT() does not use MAGNIF because, by using dense
%   sampling, it avoids detecting keypoints in the first plance.
%
%   VL_DSIFT() does not smooth the image as SIFT does. Therefore, in
%   order to obtain equivalent results, the image should be
%   pre-smoothed approriately. Recall that in SIFT, for a keypoint of
%   scale S, the image is pre-smoothed by a Gaussian of variance S.^2
%   - 1/4 (see VL_SIFT() and VLFeat C API documentation).
%
%   Example::
%     This example produces equivalent SIFT descriptors using
%     VL_DSIFT() and VL_SIFT():
%
%      binSize = 8 ;
%      magnif = 3 ;
%      Is = vl_imsmooth(I, sqrt((binSize/magnif)^2 - .25)) ;
%
%      [f, d] = vl_dsift(Is, 'size', binSize) ;
%      f(3,:) = binSize/magnif ;
%      f(4,:) = 0 ;
%      [f_, d_] = vl_sift(I, 'frames', f) ;
%
%   Remark::
%     The equivalence is never exact due to (i) boundary effects
%     and (ii) the fact that VL_SIFT() downsamples the image to save
%     computation. It is, however, usually very good.
%
%   Remark::
%     In categorization it is often useful to under-smooth the image,
%     comared to standard SIFT, in order to keep the gradients
%     sharp.
%
%   FURTHER DETAILS ON THE GEOMETRY
%
%   As mentioned, the VL_DSIFT() descriptors cover the bounding box
%   specified by BOUNDS = [XMIN YMIN XMAX YMAX]. Thus the top-left bin
%   of the top-left descriptor is placed at (XMIN, YMIN). The next
%   three bins to the right are at XMIN + SIZE, XMIN + 2*SIZE, XMIN +
%   3*SIZE. The X coordiante of the center of the first descriptor is
%   therefore at (XMIN + XMIN + 3*SIZE) / 2 = XMIN + 3/2 * SIZE.  For
%   instance, if XMIN = 1 and SIZE = 3 (default values), the X
%   coordinate of the center of the first descriptor is at 1 + 3/2 * 3
%   = 5.5. For the second descriptor immediately to its right this is
%   5.5 + STEP, and so on.
%
%   See also: VL_SIFT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/sift/vl_phow.m000066400000000000000000000134261203326130700173620ustar00rootroot00000000000000function [frames, descrs] = vl_phow(im, varargin)
% VL_PHOW  Extract PHOW features
%   [FRAMES, DESCRS] = VL_PHOW(IM) extracts PHOW features from the
%   image IM. This function is a wrapper around VL_DSIFT() and
%   VL_IMSMOOTH().
%
%   The PHOW descriptors where introduced in [1]. By default,
%   VL_PHOW() computes the gray-scale variant of the descriptor.  The
%   COLOR option can be used to compute the color variant instead.
%
%   Verbose:: [false]
%     Set to true to turn on verbose output.
%
%   Sizes:: [[4 6 8 10]]
%     Scales at which the dense SIFT features are extracted. Each
%     value is used as bin size for the VL_DSIFT() function.
%
%   Fast:: [true]
%     Set to false to turn off the fast SIFT features computation by
%     VL_DSIFT().
%
%   Step:: [2]
%     Step (in pixels) of the grid at which the dense SIFT features
%     are extracted.
%
%   Color:: [GRAY]
%     Choose between GRAY (PHOW-gray), RGB, HSV, and OPPONENT
%     (PHOW-color).
%
%   ContrastThreshold:: [0.005]
%     Contrast threshold below which SIFT features are mapped to
%     zero. The input image is scaled to have intensity range in [0,1]
%     (rather than [0,255]) and this value is compared to the
%     descriptor norm as returned by VL_DSIFT().
%
%   WindowSize:: [1.5]
%     Size of the Gaussian window in units of spatial bins.
%
%   Magnif:: [6]
%     The image is smoothed by a Gaussian kernel of standard deviation
%     SIZE / MAGNIF.
%
%   FloatDescriptors:: [false]
%     If set to TRUE, the descriptors are returned in floating point
%     format.
%
%   See also: VL_DSIFT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% -------------------------------------------------------------------
%                                                 Parse the arguments
% -------------------------------------------------------------------

  opts.verbose = false ;
  opts.fast = true ;
  opts.sizes = [4 6 8 10] ;
  opts.step = 2 ;
  opts.color = 'gray' ;
  opts.floatdescriptors = false ;
  opts.magnif = 6 ;
  opts.windowsize = 1.5 ;
  opts.contrastthreshold = 0.005 ;
  opts = vl_argparse(opts,varargin) ;

  dsiftOpts = {'norm', 'windowsize', opts.windowsize} ;
  if opts.verbose, dsiftOpts{end+1} = 'verbose' ; end
  if opts.fast, dsiftOpts{end+1} = 'fast' ; end
  if opts.floatdescriptors, dsiftOpts{end+1} = 'floatdescriptors' ; end
  dsiftOpts(end+(1:2)) = {'step', opts.step} ;

% -------------------------------------------------------------------
%                                                Extract the features
% -------------------------------------------------------------------


  % standarize the image
  imageSize = [size(im,2) ; size(im,1)] ;
  if strcmp(lower(opts.color), 'gray')
    numChannels = 1 ;
    if size(im,3) > 1, im = rgb2gray(im) ; end
  else
    numChannels = 3 ;
    if size(im,3) == 1, im = cat(3, im, im, im) ; end
    switch lower(opts.color)
      case 'rgb'
      case 'opponent'
        % Note that the mean differs from the standard definition of opponent
        % space and is the regular intesity (for compatibility with
        % the contrast thresholding).
        %
        % Note also that the mean is added pack to the other two
        % components with a small multipliers for monochromatic
        % regions.
        mu = 0.3*im(:,:,1) + 0.59*im(:,:,2) + 0.11*im(:,:,3) ;
        alpha = 0.01 ;
        im = cat(3, mu, ...
                 (im(:,:,1) - im(:,:,2))/sqrt(2) + alpha*mu, ...
                 (im(:,:,1) + im(:,:,2) - 2*im(:,:,3))/sqrt(6) + alpha*mu) ;
      case 'hsv'
        im = rgb2hsv(im) ;
      otherwise
        opts.color = 'hsv' ;
        warning('Color space not recongized, defaulting to HSV color space.') ;
    end
  end

  if opts.verbose
    fprintf('%s: color space: %s\n', mfilename, opts.color) ;
    fprintf('%s: image size: %d x %d\n', mfilename, imageSize(1), imageSize(2)) ;
    fprintf('%s: sizes: [%s]\n', mfilename, sprintf(' %d', opts.sizes)) ;
  end

  for si = 1:length(opts.sizes)

    % Recall from VL_DSIFT() that the first descriptor for scale SIZE has
    % center located at XC = XMIN + 3/2 SIZE (the Y coordinate is
    % similar). It is convenient to align the descriptors at different
    % scales so that they have the same geometric centers. For the
    % maximum size we pick XMIN = 1 and we get centers starting from
    % XC = 1 + 3/2 MAX(OPTS.SIZES). For any other scale we pick XMIN so
    % that XMIN + 3/2 SIZE = 1 + 3/2 MAX(OPTS.SIZES).
    %
    % In pracrice, the offset must be integer ('bounds'), so the
    % alignment works properly only if all OPTS.SZES are even or odd.

    off = floor(1 + 3/2 * (max(opts.sizes) - opts.sizes(si))) ;

    % smooth the image to the appropriate scale based on the size
    % of the SIFT bins
    sigma = opts.sizes(si) / opts.magnif ;
    ims = vl_imsmooth(im, sigma) ;

    % extract dense SIFT features from all channels
    for k = 1:numChannels
      [f{k}, d{k}] = vl_dsift(...
        ims(:,:,k), ...
        dsiftOpts{:},  ...
        'size', opts.sizes(si), ...
        'bounds', [off off +inf +inf]) ;
    end

    % remove low contrast descriptors
    % note that for color descriptors the V component is
    % thresholded
    switch opts.color
      case {'gray', 'opponent'}
        contrast = f{1}(3,:) ;
      case 'rgb'
        contrast = mean([f{1}(3,:) ; f{2}(3,:) ; f{3}(3,:)],1) ;
      otherwise % hsv
        contrast = f{3}(3,:) ;
    end
    for k = 1:numChannels
      d{k}(:, contrast < opts.contrastthreshold) = 0 ;
    end

    % save only x,y, and the scale
    frames{si} = [f{1}(1:3, :) ; opts.sizes(si) * ones(1,size(f{1},2))] ;
    descrs{si} = cat(1, d{:}) ;
  end
  descrs = cell2mat(descrs) ;
  frames = cell2mat(frames) ;
end
vlfeat-0.9.16/toolbox/sift/vl_plotsiftdescriptor.m000066400000000000000000000103741203326130700223470ustar00rootroot00000000000000function h=vl_plotsiftdescriptor(d,f,varargin)
% VL_PLOTSIFTDESCRIPTOR   Plot SIFT descriptor
%   VL_PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptors D, stored as
%   columns of the matrix D. D has the same format used by VL_SIFT().
%
%   VL_PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warped to
%   the SIFT frames F, specified as columns of the matrix F. F has the
%   same format used by VL_SIFT().
%
%   H=VL_PLOTSIFTDESCRIPTOR(...) returns the handle H to the line drawing
%   representing the descriptors.
%
%   REMARK. By default, the function assumes descriptors with 4x4
%   spatial bins and 8 orientation bins (Lowe's default.)
%
%   The function supports the following options
%
%   NumSpatialBins:: [4]
%     Number of spatial bins in each spatial direction.
%
%   NumOrientBins:: [8]
%     Number of orientation bis.
%
%   Magnif:: [3]
%     Magnification factor.
%
%   See also: VL_SIFT(), VL_PLOTFRAME(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

magnif = 3.0 ;
NBP    = 4 ;
NBO    = 8 ;
maxv   = 0 ;

if nargin > 1
  if ~ isnumeric(f)
    error('F must be a numeric type (use [] to leave it unspecified)') ;
  end
end

for k=1:2:length(varargin)
  opt=lower(varargin{k}) ;
  arg=varargin{k+1} ;
  switch opt
    case 'numspatialbins'
      NBP = arg ;
    case 'numorientbins'
      NBO = arg ;
    case 'magnif'
      magnif = arg ;
    case 'maxv'
      maxv = arg ;
    otherwise
      error(sprintf('Unknown option ''%s''', opt)) ;
  end
end

% --------------------------------------------------------------------
%                                                  Check the arguments
% --------------------------------------------------------------------

if(size(d,1) ~= NBP*NBP*NBO)
  error('The number of rows of D does not match the geometry of the descriptor') ;
end

if nargin > 1
  if (~isempty(f) & size(f,1) < 2 | size(f,1) > 4)
    error('F should be a 2xK, 3xK, 4xK matrix or the empty matrix');
  end

  if size(f,1) == 2
    f = [f; 10 * ones(1, size(f,2)) ; 0 * zeros(1, size(f,2))] ;
  end

  if size(f,1) == 3
    f = [f; 0 * zeros(1, size(f,2))] ;
  end

  if(~isempty(f) & size(f,2) ~= size(d,2))
    error('D and F have incompatible dimension') ;
  end
end

% Descriptors are often non-double numeric arrays
d = double(d) ;
K = size(d,2) ;

if nargin < 2 | isempty(f)
  f = repmat([0;0;1;0],1,K) ;
end

% --------------------------------------------------------------------
%                                                           Do the job
% --------------------------------------------------------------------

xall=[] ;
yall=[] ;

for k=1:K
  SBP = magnif * f(3,k) ;
  th=f(4,k) ;
  c=cos(th) ;
  s=sin(th) ;

  [x,y] = render_descr(d(:,k), NBP, NBO, maxv) ;
  xall = [xall SBP*(c*x-s*y)+f(1,k)] ;
  yall = [yall SBP*(s*x+c*y)+f(2,k)] ;
end

h=line(xall,yall) ;


% --------------------------------------------------------------------
function [x,y] = render_descr(d, BP, BO, maxv)
% --------------------------------------------------------------------

[x,y] = meshgrid(-BP/2:BP/2,-BP/2:BP/2) ;

% Rescale d so that the biggest peak fits inside the bin diagram
if maxv
    d = 0.4 * d / maxv ;
else
    d = 0.4 * d / max(d(:)+eps) ;
end

% We have BP*BP bins to plot. Here are the centers:
xc = x(1:end-1,1:end-1) + 0.5 ;
yc = y(1:end-1,1:end-1) + 0.5 ;

% We scramble the the centers to have the in row major order
% (descriptor convention).
xc = xc' ;
yc = yc' ;

% Each spatial bin contains a star with BO tips
xc = repmat(xc(:)',BO,1) ;
yc = repmat(yc(:)',BO,1) ;

% Do the stars
th=linspace(0,2*pi,BO+1) ;
th=th(1:end-1) ;
xd = repmat(cos(th), 1, BP*BP) ;
yd = repmat(sin(th), 1, BP*BP) ;
xd = xd .* d(:)' ;
yd = yd .* d(:)' ;

% Re-arrange in sequential order the lines to draw
nans = NaN * ones(1,BP^2*BO) ;
x1 = xc(:)' ;
y1 = yc(:)' ;
x2 = x1 + xd ;
y2 = y1 + yd ;
xstars = [x1;x2;nans] ;
ystars = [y1;y2;nans] ;

% Horizontal lines of the grid
nans = NaN * ones(1,BP+1);
xh = [x(:,1)' ; x(:,end)' ; nans] ;
yh = [y(:,1)' ; y(:,end)' ; nans] ;

% Verical lines of the grid
xv = [x(1,:) ; x(end,:) ; nans] ;
yv = [y(1,:) ; y(end,:) ; nans] ;

x=[xstars(:)' xh(:)' xv(:)'] ;
y=[ystars(:)' yh(:)' yv(:)'] ;
vlfeat-0.9.16/toolbox/sift/vl_plotss.m000066400000000000000000000062731203326130700177330ustar00rootroot00000000000000function vl_plotss(ss, varargin)
% VL_PLOTSS Plot scale space
%   VL_PLOTSS(SS) plots the scale space SS. SS is a structure
%   with the following members:
%
%   ss.firstOctave::
%     The index of the first octave in the scale space.
%
%   ss.lastOctave::
%     The index of the last octave in the scale space.
%
%   ss.octaveResolution::
%     The octave resolution, i.e. the nubmer of subdivisions
%     per octave.
%
%   ss.octaveFirstLevel::
%     The index of the first level of subdivisions for each octave.
%
%   ss.octaveLastLevel::
%     The iundex of last leve of subdivisions for each cotave.
%
%   ss.data::
%     A cell array of 3D arrays representing the scale space data.
%     The cell array has a length equal to the nubmer of octaves
%     contained in the scale space. Each entry is a 3D array, the
%     first two dimensions of which correspond to image rows and
%     columns respectively, and the third to scale levels.
%
%   ss.sigma0::
%     Base smoothing.
%
%   A scale space is a representation of a 2D signal (image) at
%   multiple scales. In the simplest case, a scale SIGMA is defined as
%   the input image I(x,y) convolved by a Gaussian kernel of isotropic
%   standard deviation SIGMA:
%
%     I(x,y;sigma) = (g_sigma * I)(x,y)
%
%   where scales are sampled as follows:
%
%     sigma(o,s) = sigma0 2^{o + s / ss.octaveResolution),
%     ss.firstOctave <= o <= ss.lastOctave,
%     ss.octaveFirstLeve <= s <= ss.octaveLastLevel.
%
%   Moving from one octave to the next, the size of the kernel
%   doubles. Hence the effective bandwith of the signal halves, and
%   resolution can be reduced by half. Typically, for example, sigma0
%   = 1.6, so at octave 0 the image can be effectively sampled with a
%   step of 1, and the resolution of octave 0 is the same as the one
%   at which the input image is presented. Then at octave o the
%   sampling step is 2^o.
%
%   ss.octaveResolution is the number of scale subdivisions per
%   octave. ss.firstOctave and ss.lastOctave give the additional
%   flexibility of specifying a range for the level index s to exceed
%   the standard setting [0, ss.octaveResolution-1]. In this manner
%   the same scales can be represented twice, at two sampling
%   rates. This is often convenient in feature computation (e.g. to
%   find local maxima in scale of a function).
%
%   VL_PLOTSS(SS, 'Option', value) supports the following options:
%
%   Uniform:: false
%     If TRUE then use a fixed gray scale for all the levels.

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Karel Lenc, Andrea Vedaldi, and Michal Perdoch
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.uniform = false ;
opts.clim = [] ;
opts = vl_argparse(opts, varargin) ;

numOctaves = numel(ss.data) ;

if opts.uniform & isempty(opts.clim)
  minv = +inf ;
  maxv = -inf ;
  for i = 1:numOctaves
    minv = min(minv, min(ss.data{i}(:))) ;
    maxv = max(maxv, max(ss.data{i}(:))) ;
  end
  opts.clim = [minv maxv] ;
end

clf ;
for i = 1:numOctaves
  vl_tightsubplot(numOctaves, i) ;
  vl_imarraysc(ss.data{i}, 'clim', opts.clim) ;
  axis image off ;
  title(sprintf('octave %d', ss.firstOctave - 1 + i)) ;
end
vlfeat-0.9.16/toolbox/sift/vl_sift.c000066400000000000000000000346761203326130700173520ustar00rootroot00000000000000/** @internal
 ** @file     sift.c
 ** @author   Andrea Vedaldi
 ** @brief    Scale Invariant Feature Transform (SIFT) - MEX
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

#include 
#include 

/* option codes */
enum {
  opt_octaves = 0,
  opt_levels,
  opt_first_octave,
  opt_frames,
  opt_edge_thresh,
  opt_peak_thresh,
  opt_norm_thresh,
  opt_magnif,
  opt_window_size,
  opt_orientations,
  opt_float_descriptors,
  opt_verbose
} ;

/* options */
vlmxOption  options [] = {
  {"Octaves",          1,   opt_octaves           },
  {"Levels",           1,   opt_levels            },
  {"FirstOctave",      1,   opt_first_octave      },
  {"Frames",           1,   opt_frames            },
  {"PeakThresh",       1,   opt_peak_thresh       },
  {"EdgeThresh",       1,   opt_edge_thresh       },
  {"NormThresh",       1,   opt_norm_thresh       },
  {"Magnif",           1,   opt_magnif            },
  {"WindowSize",       1,   opt_window_size       },
  {"Orientations",     0,   opt_orientations      },
  {"FloatDescriptors", 0,   opt_float_descriptors },
  {"Verbose",          0,   opt_verbose           },
  {0,                  0,   0                     }
} ;

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Transpose desriptor
 **
 ** @param dst destination buffer.
 ** @param src source buffer.
 **
 ** The function writes to @a dst the transpose of the SIFT descriptor
 ** @a src. The tranpsose is defined as the descriptor that one
 ** obtains from computing the normal descriptor on the transposed
 ** image.
 **/

VL_INLINE void
transpose_descriptor (vl_sift_pix* dst, vl_sift_pix* src)
{
  int const BO = 8 ;  /* number of orientation bins */
  int const BP = 4 ;  /* number of spatial bins     */
  int i, j, t ;

  for (j = 0 ; j < BP ; ++j) {
    int jp = BP - 1 - j ;
    for (i = 0 ; i < BP ; ++i) {
      int o  = BO * i + BP*BO * j  ;
      int op = BO * i + BP*BO * jp ;
      dst [op] = src[o] ;
      for (t = 1 ; t < BO ; ++t)
        dst [BO - t + op] = src [t + o] ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Ordering of tuples by increasing scale
 **
 ** @param a tuple.
 ** @param b tuble.
 **
 ** @return @c a[2] < b[2]
 **/

static int
korder (void const* a, void const* b) {
  double x = ((double*) a) [2] - ((double*) b) [2] ;
  if (x < 0) return -1 ;
  if (x > 0) return +1 ;
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Check for sorted keypoints
 **
 ** @param keys keypoint list to check
 ** @param nkeys size of the list.
 **
 ** @return 1 if the keypoints are storted.
 **/

vl_bool
check_sorted (double const * keys, vl_size nkeys)
{
  vl_uindex k ;
  for (k = 0 ; k + 1 < nkeys ; ++ k) {
    if (korder(keys, keys + 4) > 0) {
      return VL_FALSE ;
    }
    keys += 4 ;
  }
  return VL_TRUE ;
}

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_I=0,IN_END} ;
  enum {OUT_FRAMES=0, OUT_DESCRIPTORS} ;

  int                verbose = 0 ;
  int                opt ;
  int                next = IN_END ;
  mxArray const     *optarg ;

  vl_sift_pix const *data ;
  int                M, N ;

  int                O     = - 1 ;
  int                S     =   3 ;
  int                o_min =   0 ;

  double             edge_thresh = -1 ;
  double             peak_thresh = -1 ;
  double             norm_thresh = -1 ;
  double             magnif      = -1 ;
  double             window_size = -1 ;

  mxArray           *ikeys_array = 0 ;
  double            *ikeys = 0 ;
  int                nikeys = -1 ;
  vl_bool            force_orientations = 0 ;
  vl_bool            floatDescriptors = 0 ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 1) {
    mexErrMsgTxt("One argument required.") ;
  } else if (nout > 2) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if (mxGetNumberOfDimensions (in[IN_I]) != 2              ||
      mxGetClassID            (in[IN_I]) != mxSINGLE_CLASS  ) {
    mexErrMsgTxt("I must be a matrix of class SINGLE") ;
  }

  data = (vl_sift_pix*) mxGetData (in[IN_I]) ;
  M    = mxGetM (in[IN_I]) ;
  N    = mxGetN (in[IN_I]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {

    case opt_verbose :
      ++ verbose ;
      break ;

    case opt_octaves :
      if (!vlmxIsPlainScalar(optarg) || (O = (int) *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'Octaves' must be a positive integer.") ;
      }
      break ;

    case opt_levels :
      if (! vlmxIsPlainScalar(optarg) || (S = (int) *mxGetPr(optarg)) < 1) {
        mexErrMsgTxt("'Levels' must be a positive integer.") ;
      }
      break ;

    case opt_first_octave :
      if (!vlmxIsPlainScalar(optarg)) {
        mexErrMsgTxt("'FirstOctave' must be an integer") ;
      }
      o_min = (int) *mxGetPr(optarg) ;
      break ;

    case opt_edge_thresh :
      if (!vlmxIsPlainScalar(optarg) || (edge_thresh = *mxGetPr(optarg)) < 1) {
        mexErrMsgTxt("'EdgeThresh' must be not smaller than 1.") ;
      }
      break ;

    case opt_peak_thresh :
      if (!vlmxIsPlainScalar(optarg) || (peak_thresh = *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'PeakThresh' must be a non-negative real.") ;
      }
      break ;

    case opt_norm_thresh :
      if (!vlmxIsPlainScalar(optarg) || (norm_thresh = *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'NormThresh' must be a non-negative real.") ;
      }
      break ;

    case opt_magnif :
      if (!vlmxIsPlainScalar(optarg) || (magnif = *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'Magnif' must be a non-negative real.") ;
      }
      break ;

    case opt_window_size :
      if (!vlmxIsPlainScalar(optarg) || (window_size = *mxGetPr(optarg)) < 0) {
        mexErrMsgTxt("'WindowSize' must be a non-negative real.") ;
      }
      break ;

    case opt_frames :
      if (!vlmxIsMatrix(optarg, 4, -1)) {
        mexErrMsgTxt("'Frames' must be a 4 x N matrix.") ;
      }
      ikeys_array = mxDuplicateArray (optarg) ;
      nikeys      = mxGetN (optarg) ;
      ikeys       = mxGetPr (ikeys_array) ;
      if (! check_sorted (ikeys, nikeys)) {
        qsort (ikeys, nikeys, 4 * sizeof(double), korder) ;
      }
      break ;

    case opt_orientations :
      force_orientations = 1 ;
      break ;

    case opt_float_descriptors :
      floatDescriptors = 1 ;
      break ;

    default :
      abort() ;
    }
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */
  {
    VlSiftFilt        *filt ;
    vl_bool            first ;
    double            *frames = 0 ;
    void              *descr  = 0 ;
    int                nframes = 0, reserved = 0, i,j,q ;

    /* create a filter to process the image */
    filt = vl_sift_new (M, N, O, S, o_min) ;

    if (peak_thresh >= 0) vl_sift_set_peak_thresh (filt, peak_thresh) ;
    if (edge_thresh >= 0) vl_sift_set_edge_thresh (filt, edge_thresh) ;
    if (norm_thresh >= 0) vl_sift_set_norm_thresh (filt, norm_thresh) ;
    if (magnif      >= 0) vl_sift_set_magnif      (filt, magnif) ;
    if (window_size >= 0) vl_sift_set_window_size (filt, window_size) ;

    if (verbose) {
      mexPrintf("vl_sift: filter settings:\n") ;
      mexPrintf("vl_sift:   octaves      (O)      = %d\n",
                vl_sift_get_noctaves      (filt)) ;
      mexPrintf("vl_sift:   levels       (S)      = %d\n",
                vl_sift_get_nlevels       (filt)) ;
      mexPrintf("vl_sift:   first octave (o_min)  = %d\n",
                vl_sift_get_octave_first  (filt)) ;
      mexPrintf("vl_sift:   edge thresh           = %g\n",
                vl_sift_get_edge_thresh   (filt)) ;
      mexPrintf("vl_sift:   peak thresh           = %g\n",
                vl_sift_get_peak_thresh   (filt)) ;
      mexPrintf("vl_sift:   norm thresh           = %g\n",
                vl_sift_get_norm_thresh   (filt)) ;
      mexPrintf("vl_sift:   window size           = %g\n",
                vl_sift_get_window_size   (filt)) ;
      mexPrintf("vl_sift:   float descriptor      = %d\n",
                floatDescriptors) ;

      mexPrintf((nikeys >= 0) ?
                "vl_sift: will source frames? yes (%d read)\n" :
                "vl_sift: will source frames? no\n", nikeys) ;
      mexPrintf("vl_sift: will force orientations? %s\n",
                force_orientations ? "yes" : "no") ;
    }

    /* ...............................................................
     *                                             Process each octave
     * ............................................................ */
    i     = 0 ;
    first = 1 ;
    while (1) {
      int                   err ;
      VlSiftKeypoint const *keys  = 0 ;
      int                   nkeys = 0 ;

      if (verbose) {
        mexPrintf ("vl_sift: processing octave %d\n",
                   vl_sift_get_octave_index (filt)) ;
      }

      /* Calculate the GSS for the next octave .................... */
      if (first) {
        err   = vl_sift_process_first_octave (filt, data) ;
        first = 0 ;
      } else {
        err   = vl_sift_process_next_octave  (filt) ;
      }

      if (err) break ;

      if (verbose > 1) {
        mexPrintf("vl_sift: GSS octave %d computed\n",
                  vl_sift_get_octave_index (filt));
      }

      /* Run detector ............................................. */
      if (nikeys < 0) {
        vl_sift_detect (filt) ;

        keys  = vl_sift_get_keypoints  (filt) ;
        nkeys = vl_sift_get_nkeypoints (filt) ;
        i     = 0 ;

        if (verbose > 1) {
          printf ("vl_sift: detected %d (unoriented) keypoints\n", nkeys) ;
        }
      } else {
        nkeys = nikeys ;
      }

      /* For each keypoint ........................................ */
      for (; i < nkeys ; ++i) {
        double                angles [4] ;
        int                   nangles ;
        VlSiftKeypoint        ik ;
        VlSiftKeypoint const *k ;

        /* Obtain keypoint orientations ........................... */
        if (nikeys >= 0) {
          vl_sift_keypoint_init (filt, &ik,
                                 ikeys [4 * i + 1] - 1,
                                 ikeys [4 * i + 0] - 1,
                                 ikeys [4 * i + 2]) ;

          if (ik.o != vl_sift_get_octave_index (filt)) {
            break ;
          }

          k = &ik ;

          /* optionally compute orientations too */
          if (force_orientations) {
            nangles = vl_sift_calc_keypoint_orientations
              (filt, angles, k) ;
          } else {
            angles [0] = VL_PI / 2 - ikeys [4 * i + 3] ;
            nangles    = 1 ;
          }
        } else {
          k = keys + i ;
          nangles = vl_sift_calc_keypoint_orientations
            (filt, angles, k) ;
        }

        /* For each orientation ................................... */
        for (q = 0 ; q < nangles ; ++q) {
          vl_sift_pix  buf [128] ;
          vl_sift_pix rbuf [128] ;

          /* compute descriptor (if necessary) */
          if (nout > 1) {
            vl_sift_calc_keypoint_descriptor (filt, buf, k, angles [q]) ;
            transpose_descriptor (rbuf, buf) ;
          }

          /* make enough room for all these keypoints and more */
          if (reserved < nframes + 1) {
            reserved += 2 * nkeys ;
            frames = mxRealloc (frames, 4 * sizeof(double) * reserved) ;
            if (nout > 1) {
              if (! floatDescriptors) {
                descr  = mxRealloc (descr,  128 * sizeof(vl_uint8) * reserved) ;
              } else {
                descr  = mxRealloc (descr,  128 * sizeof(float) * reserved) ;
              }
            }
          }

          /* Save back with MATLAB conventions. Notice tha the input
           * image was the transpose of the actual image. */
          frames [4 * nframes + 0] = k -> y + 1 ;
          frames [4 * nframes + 1] = k -> x + 1 ;
          frames [4 * nframes + 2] = k -> sigma ;
          frames [4 * nframes + 3] = VL_PI / 2 - angles [q] ;

          if (nout > 1) {
            if (! floatDescriptors) {
              for (j = 0 ; j < 128 ; ++j) {
                float x = 512.0F * rbuf [j] ;
                x = (x < 255.0F) ? x : 255.0F ;
                ((vl_uint8*)descr) [128 * nframes + j] = (vl_uint8) x ;
              }
            } else {
              for (j = 0 ; j < 128 ; ++j) {
                float x = 512.0F * rbuf [j] ;
                ((float*)descr) [128 * nframes + j] = x ;
              }
            }
          }

          ++ nframes ;
        } /* next orientation */
      } /* next keypoint */
    } /* next octave */

    if (verbose) {
      mexPrintf ("vl_sift: found %d keypoints\n", nframes) ;
    }

    /* ...............................................................
     *                                                       Save back
     * ............................................................ */

    {
      mwSize dims [2] ;

      /* create an empty array */
      dims [0] = 0 ;
      dims [1] = 0 ;
      out[OUT_FRAMES] = mxCreateNumericArray
        (2, dims, mxDOUBLE_CLASS, mxREAL) ;

      /* set array content to be the frames buffer */
      dims [0] = 4 ;
      dims [1] = nframes ;
      mxSetPr         (out[OUT_FRAMES], frames) ;
      mxSetDimensions (out[OUT_FRAMES], dims, 2) ;

      if (nout > 1) {

        /* create an empty array */
        dims [0] = 0 ;
        dims [1] = 0 ;
        out[OUT_DESCRIPTORS]= mxCreateNumericArray
          (2, dims,
           floatDescriptors ? mxSINGLE_CLASS : mxUINT8_CLASS,
           mxREAL) ;

        /* set array content to be the descriptors buffer */
        dims [0] = 128 ;
        dims [1] = nframes ;
        mxSetData       (out[OUT_DESCRIPTORS], descr) ;
        mxSetDimensions (out[OUT_DESCRIPTORS], dims, 2) ;
      }
    }

    /* cleanup */
    vl_sift_delete (filt) ;

    if (ikeys_array)
      mxDestroyArray(ikeys_array) ;

  } /* end: do job */
}
vlfeat-0.9.16/toolbox/sift/vl_sift.m000066400000000000000000000047111203326130700173470ustar00rootroot00000000000000% VL_SIFT  Scale-Invariant Feature Transform
%   F = VL_SIFT(I) computes the SIFT frames [1] (keypoints) F of the
%   image I. I is a gray-scale image in single precision. Each column
%   of F is a feature frame and has the format [X;Y;S;TH], where X,Y
%   is the (fractional) center of the frame, S is the scale and TH is
%   the orientation (in radians).
%
%   [F,D] = VL_SIFT(I) computes the SIFT descriptors [1] as well. Each
%   column of D is the descriptor of the corresponding frame in F. A
%   descriptor is a 128-dimensional vector of class UINT8.
%
%   VL_SIFT() accepts the following options:
%
%   Octaves:: [maximum possible]
%     Set the number of octave of the DoG scale space.
%
%   Levels:: [3]
%     Set the number of levels per octave of the DoG scale space.
%
%   FirstOctave:: [0]
%     Set the index of the first octave of the DoG scale space.
%
%   PeakThresh:: [0]
%     Set the peak selection threshold.
%
%   EdgeThresh:: [10]
%     Set the non-edge selection threshold.
%
%   NormThresh:: [-inf]
%     Set the minimum l2-norm of the descriptors before
%     normalization. Descriptors below the threshold are set to zero.
%
%   Magnif:: [3]
%     Set the descriptor magnification factor. The scale of the
%     keypoint is multiplied by this factor to obtain the width (in
%     pixels) of the spatial bins. For instance, if there are there
%     are 4 spatial bins along each spatial direction, the
%     ``side'' of the descriptor is approximatively 4 * MAGNIF.
%
%   WindowSize:: [2]
%     Set the variance of the Gaussian window that determines the
%     descriptor support. It is expressend in units of spatial
%     bins.
%
%   Frames:: [not specified]
%     If specified, set the frames to use (bypass the detector). If
%     frames are not passed in order of increasing scale, they are
%     re-orderded.
%
%   Orientations::
%     If specified, compute the orietantions of the frames overriding
%     the orientation specified by the 'Frames' option.
%
%   Verbose::
%     If specfified, be verbose (may be repeated to increase the
%     verbosity level).
%
%   REFERENCES::
%     [1] D. G. Lowe, Distinctive image features from scale-invariant
%     keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.
%
%   See also: VL_UBCMATCH(), VL_DSIFT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/sift/vl_siftdescriptor.c000066400000000000000000000151231203326130700214330ustar00rootroot00000000000000/** @internal
 ** @file     vl_siftdescriptor.c
 ** @brief    vl_siftdescriptor - MEX definition
 ** @author   Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 
#include 

#include 
#include 

/* option codes */
enum {
  opt_magnif,
  opt_float_descriptors,
  opt_norm_thresh,
  opt_verbose
} ;

/* options */
vlmxOption  options [] = {
  {"Magnif",           1,   opt_magnif            },
  {"Verbose",          0,   opt_verbose           },
  {"FloatDescriptors", 0,   opt_float_descriptors },
  {"NormThresh",       1,   opt_norm_thresh       },
  {0,              0,   0                         }
} ;

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Transpose descriptor
 **
 ** @param dst destination buffer.
 ** @param src source buffer.
 **
 ** The function writes to @a dst the transpose of the SIFT descriptor
 ** @a src. The transpose is defined as the descriptor that one
 ** obtains from computing the normal descriptor on the transposed
 ** image.
 **/

VL_INLINE void
transpose_descriptor (vl_sift_pix* dst, vl_sift_pix* src)
{
  int const BO = 8 ;  /* number of orientation bins */
  int const BP = 4 ;  /* number of spatial bins     */
  int i, j, t ;

  for (j = 0 ; j < BP ; ++j) {
    int jp = BP - 1 - j ;
    for (i = 0 ; i < BP ; ++i) {
      int o  = BO * i + BP*BO * j  ;
      int op = BO * i + BP*BO * jp ;
      dst [op] = src[o] ;
      for (t = 1 ; t < BO ; ++t)
        dst [BO - t + op] = src [t + o] ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_GRAD=0,IN_FRAMES,IN_END} ;
  enum {OUT_DESCRIPTORS} ;

  int                verbose = 0 ;
  int                opt ;
  int                next = IN_END ;
  mxArray const     *optarg ;

  mxArray           *grad_array ;
  vl_sift_pix       *grad ;
  int                M, N ;

  vl_bool            floatDescriptors = 0 ;
  double             magnif = -1 ;
  double             norm_thresh = -1 ;
  double            *ikeys = 0 ;
  int                nikeys = 0 ;

  int i,j ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 2) {
    mexErrMsgTxt("Two arguments required.") ;
  } else if (nout > 1) {
    mexErrMsgTxt("Too many output arguments.");
  }

  if (mxGetNumberOfDimensions (in[IN_GRAD])    != 3              ||
      mxGetClassID            (in[IN_GRAD])    != mxSINGLE_CLASS ||
      mxGetDimensions         (in[IN_GRAD])[0] != 2              ) {
    mexErrMsgTxt("GRAD must be a 2xMxN matrix of class SINGLE.") ;
  }

  if (!vlmxIsMatrix(in[IN_FRAMES], 4, -1)) {
    mexErrMsgTxt("FRAMES must be a 4xN matrix.") ;
  }
  nikeys = mxGetN (in[IN_FRAMES]) ;
  ikeys  = mxGetPr(in[IN_FRAMES]) ;

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {

      case opt_verbose :
        ++ verbose ;
        break ;

      case opt_magnif :
        if (!vlmxIsPlainScalar(optarg) || (magnif = *mxGetPr(optarg)) < 0) {
          mexErrMsgTxt("MAGNIF must be a non-negative scalar.") ;
        }
        break ;

      case opt_float_descriptors :
        floatDescriptors = 1 ;
        break ;

      case opt_norm_thresh :
        if (!vlmxIsPlainScalar(optarg) || (norm_thresh = *mxGetPr(optarg)) < 0) {
          mexErrMsgTxt("NORMTHRESH must be a non-negative scalar.") ;
        }
        break ;

      default :
        abort() ;
    }
  }

  grad_array = mxDuplicateArray(in[IN_GRAD]) ;
  grad = (vl_sift_pix*) mxGetData (grad_array) ;
  M    = mxGetDimensions(in[IN_GRAD])[1] ;
  N    = mxGetDimensions(in[IN_GRAD])[2] ;

  /* transpose angles */
  for (i = 1 ; i < 2*M*N ; i+=2) {
    grad [i] = VL_PI/2 - grad [i] ;
  }

  /* -----------------------------------------------------------------
   *                                                            Do job
   * -------------------------------------------------------------- */
  {
    VlSiftFilt * filt = 0 ;
    void * descr = 0 ;

    /* create a filter to process the image */
    filt = vl_sift_new (M, N, -1, -1, 0) ;

    if (magnif >= 0) vl_sift_set_magnif (filt, magnif) ;
    if (norm_thresh >= 0) vl_sift_set_norm_thresh (filt, norm_thresh) ;
    if (verbose) {
      mexPrintf("vl_siftdescriptor: filter settings:\n") ;
      mexPrintf("vl_siftdescriptor:   magnif                = %g\n",
                vl_sift_get_magnif (filt)) ;
      mexPrintf("vl_siftdescriptor:   num of frames         = %d\n",
                nikeys) ;
      mexPrintf("vl_siftdescriptor:   float descriptor      = %d\n",
                floatDescriptors) ;
      mexPrintf("vl_siftdescriptor:   norm thresh           = %g\n",
                vl_sift_get_norm_thresh (filt));
    }

    {
      mwSize dims [2] ;
      dims [0] = 128 ;
      dims [1] = nikeys ;
      out[OUT_DESCRIPTORS]= mxCreateNumericArray
        (2, dims,
         floatDescriptors ? mxSINGLE_CLASS : mxUINT8_CLASS,
         mxREAL) ;
      descr = mxGetData(out[OUT_DESCRIPTORS]) ;
    }

    /* ...............................................................
     *                                             Process each octave
     * ............................................................ */
    for (i = 0 ; i < nikeys ; ++i) {
      vl_sift_pix  buf [128], rbuf [128] ;

      double y  = *ikeys++ - 1 ;
      double x  = *ikeys++ - 1 ;
      double s  = *ikeys++ ;
      double th = VL_PI / 2 - *ikeys++ ;

      vl_sift_calc_raw_descriptor (filt,
                                   grad,
                                   buf,
                                   M, N,
                                   x, y, s, th) ;

      transpose_descriptor (rbuf, buf) ;

      if (! floatDescriptors) {
        vl_uint8 * descr_ = descr ;
        for (j = 0 ; j < 128 ; ++j) {
          float x = 512.0F * rbuf [j] ;
          x = (x < 255.0F) ? x : 255.0F ;
          *descr_++ = (vl_uint8) (x) ;
        }
        descr = descr_ ;
      } else {
        float * descr_ = descr ;
        for (j = 0 ; j < 128 ; ++j) {
          *descr_++ = 512.0F * rbuf [j] ;
        }
        descr = descr_ ;
      }
    }
    /* cleanup */
    mxDestroyArray (grad_array) ;
    vl_sift_delete (filt) ;
  } /* job done */
}
vlfeat-0.9.16/toolbox/sift/vl_siftdescriptor.m000066400000000000000000000042611203326130700214460ustar00rootroot00000000000000% VL_SIFTDESCRIPTOR  Raw SIFT descriptor
%   D = VL_SIFTDESCRIPTOR(GRAD, F) calculates the SIFT descriptors of
%   the keypoints F on the pre-processed image GRAD. GRAD is a 2xMxN
%   array. The first layer GRAD(1,:,:) contains the modulus of
%   gradient of the original image modulus. The second layer
%   GRAD(2,:,:) contains the gradient angle (measured in radians,
%   clockwise, starting from the X axis -- this assumes that the Y
%   axis points down). The matrix F contains one column per keypoint
%   with the X, Y, SGIMA and ANLGE parameters.
%
%   In order to match the standard SIFT descriptor, the gradient GRAD
%   should be calculated after mapping the image to the keypoint
%   scale. This is obtained by smoothing the image by a a Gaussian
%   kernel of variance equal to the scale of the keypoint.
%   Additionaly, SIFT assumes that the input image is pre-smoothed at
%   scale 0.5 (this roughly compensates for the effect of the CCD
%   integrators), so the amount of smoothing that needs to be applied
%   is slightly less. The following code computes a standard SIFT
%   descriptor by using VL_SIFTDESCRIPTOR():
%
%     I_       = vl_imsmooth(im2double(I), sqrt(f(3)^2 - 0.5^2)) ;
%     [Ix, Iy] = vl_grad(I_) ;
%     mod      = sqrt(Ix.^2 + Iy.^2) ;
%     ang      = atan2(Iy,Ix) ;
%     grd      = shiftdim(cat(3,mod,ang),2) ;
%     grd      = single(grd) ;
%     d        = vl_siftdescriptor(grd, f) ;
%
%   Remark::
%     The above fragment generates results which are very close
%     but not identical to the output of VL_SIFT() as the latter
%     samples the scale space at finite steps.
%
%   Remark::
%     For object categorization is sometimes useful to compute
%     SIFT descriptors without smoothing the image.
%
%   Options:
%
%   Magnif:: [3]
%     Magnification factor (see VL_SIFT()).
%
%   NormThresh:: [-inf]
%     Set the minimum l2-norm of the descriptors before
%     normalization. Descriptors below the threshold are set to zero.
%
%  See also: VL_SIFT(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/sift/vl_ubcmatch.c000066400000000000000000000205621203326130700201600ustar00rootroot00000000000000/** @internal
 ** @file    vl_siftmatch.c
 ** @brief   vl_sitfmatch - MEX definition
 ** @author  Andrea Vedaldi
 **/


/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 

#include 

#include
#include
#include

#define TYPEOF_mxDOUBLE_CLASS double
#define TYPEOF_mxSINGLE_CLASS float
#define TYPEOF_mxINT8_CLASS   char
#define TYPEOF_mxUINT8_CLASS  unsigned char

#define PROMOTE_mxDOUBLE_CLASS double
#define PROMOTE_mxSINGLE_CLASS float
#define PROMOTE_mxINT8_CLASS   int
#define PROMOTE_mxUINT8_CLASS  int

#define MAXVAL_mxDOUBLE_CLASS mxGetInf()
#define MAXVAL_mxSINGLE_CLASS ((float)mxGetInf())
#define MAXVAL_mxINT8_CLASS   0x7fffffff
#define MAXVAL_mxUINT8_CLASS  0x7fffffff

typedef struct
{
  int k1 ;
  int k2 ;
  double score ;
} Pair ;

/*
 * This macro defines the matching function for abstract type; that
 * is, it is a sort of C++ template.  This is also a good illustration
 * of why C++ is preferable for templates :-)
 */
#define _COMPARE_TEMPLATE(MXC)                                          \
  Pair* compare_##MXC (Pair* pairs_iterator,                            \
                       const TYPEOF_##MXC * L1_pt,                      \
                       const TYPEOF_##MXC * L2_pt,                      \
                       int K1, int K2, int ND, float thresh)            \
  {                                                                     \
    int k1, k2 ;                                                        \
    const PROMOTE_##MXC maxval = MAXVAL_##MXC ;                         \
    for(k1 = 0 ; k1 < K1 ; ++k1, L1_pt += ND ) {                        \
                                                                        \
      PROMOTE_##MXC best = maxval ;                                     \
      PROMOTE_##MXC second_best = maxval ;                              \
      int bestk = -1 ;                                                  \
                                                                        \
      /* For each point P2[k2] in the second image... */                \
      for(k2 =  0 ; k2 < K2 ; ++k2, L2_pt += ND) {                      \
                                                                        \
        int bin ;                                                       \
        PROMOTE_##MXC acc = 0 ;                                         \
        for(bin = 0 ; bin < ND ; ++bin) {                               \
          PROMOTE_##MXC delta =                                         \
            ((PROMOTE_##MXC) L1_pt[bin]) -                              \
            ((PROMOTE_##MXC) L2_pt[bin]) ;                              \
          acc += delta*delta ;                                          \
        }                                                               \
                                                                        \
        /* Filter the best and second best matching point. */           \
        if(acc < best) {                                                \
          second_best = best ;                                          \
          best = acc ;                                                  \
          bestk = k2 ;                                                  \
        } else if(acc < second_best) {                                  \
          second_best = acc ;                                           \
        }                                                               \
      }                                                                 \
                                                                        \
      L2_pt -= ND*K2 ;                                                  \
                                                                        \
      /* Lowe's method: accept the match only if unique. */             \
      if(thresh * (float) best < (float) second_best &&                 \
         bestk != -1) {                                                 \
        pairs_iterator->k1 = k1 ;                                       \
        pairs_iterator->k2 = bestk ;                                    \
        pairs_iterator->score = best ;                                  \
        pairs_iterator++ ;                                              \
      }                                                                 \
    }                                                                   \
                                                                        \
    return pairs_iterator ;                                             \
  }                                                                     \

_COMPARE_TEMPLATE( mxDOUBLE_CLASS )
_COMPARE_TEMPLATE( mxSINGLE_CLASS )
_COMPARE_TEMPLATE( mxINT8_CLASS   )
_COMPARE_TEMPLATE( mxUINT8_CLASS  )

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  int unsigned K1, K2, ND ;
  void* L1_pt ;
  void* L2_pt ;
  double thresh = 1.5 ;
  mxClassID data_class ;
  enum {L1=0,L2,THRESH} ;
  enum {MATCHES=0,D} ;

  /* ------------------------------------------------------------------
  **                                                Check the arguments
  ** --------------------------------------------------------------- */
  if (nin < 2) {
    mexErrMsgTxt("At least two input arguments required");
  } else if (nout > 2) {
    mexErrMsgTxt("Too many output arguments");
  }

  if(!mxIsNumeric(in[L1]) ||
     !mxIsNumeric(in[L2]) ||
     mxGetNumberOfDimensions(in[L1]) > 2 ||
     mxGetNumberOfDimensions(in[L2]) > 2) {
    mexErrMsgTxt("L1 and L2 must be two dimensional numeric arrays") ;
  }

  K1 = mxGetN(in[L1]) ;
  K2 = mxGetN(in[L2]) ;
  ND = mxGetM(in[L1]) ;

  if(mxGetM(in[L2]) != ND) {
    mexErrMsgTxt("L1 and L2 must have the same number of rows") ;
  }

  data_class = mxGetClassID(in[L1]) ;
  if(mxGetClassID(in[L2]) != data_class) {
    mexErrMsgTxt("L1 and L2 must be of the same class") ;
  }

  L1_pt = mxGetData(in[L1]) ;
  L2_pt = mxGetData(in[L2]) ;

  if(nin == 3) {
    if(!vlmxIsPlainScalar(in[THRESH])) {
      mexErrMsgTxt("THRESH should be a real scalar") ;
    }
    thresh = *mxGetPr(in[THRESH]) ;
  } else if(nin > 3) {
    mexErrMsgTxt("At most three arguments are allowed") ;
  }

  /* ------------------------------------------------------------------
  **                                                         Do the job
  ** --------------------------------------------------------------- */
  {
    Pair* pairs_begin = (Pair*) mxMalloc(sizeof(Pair) * (K1+K2)) ;
    Pair* pairs_iterator = pairs_begin ;


#define _DISPATCH_COMPARE( MXC )                                        \
    case MXC :                                                          \
      pairs_iterator = compare_##MXC(pairs_iterator,                    \
                                     (const TYPEOF_##MXC*) L1_pt,       \
                                     (const TYPEOF_##MXC*) L2_pt,       \
                                     K1,K2,ND,thresh) ;                 \
    break ;                                                             \

    switch (data_class) {
    _DISPATCH_COMPARE( mxDOUBLE_CLASS ) ;
    _DISPATCH_COMPARE( mxSINGLE_CLASS ) ;
    _DISPATCH_COMPARE( mxINT8_CLASS   ) ;
    _DISPATCH_COMPARE( mxUINT8_CLASS  ) ;
    default :
      mexErrMsgTxt("Unsupported numeric class") ;
      break ;
    }

    /* ---------------------------------------------------------------
     *                                                        Finalize
     * ------------------------------------------------------------ */
    {
      Pair* pairs_end = pairs_iterator ;
      double* M_pt ;
      double* D_pt = NULL ;

      out[MATCHES] = mxCreateDoubleMatrix
        (2, pairs_end-pairs_begin, mxREAL) ;

      M_pt = mxGetPr(out[MATCHES]) ;

      if(nout > 1) {
        out[D] = mxCreateDoubleMatrix(1,
                                      pairs_end-pairs_begin,
                                      mxREAL) ;
        D_pt = mxGetPr(out[D]) ;
      }

      for(pairs_iterator = pairs_begin ;
          pairs_iterator < pairs_end  ;
          ++pairs_iterator) {
        *M_pt++ = pairs_iterator->k1 + 1 ;
        *M_pt++ = pairs_iterator->k2 + 1 ;
        if(nout > 1) {
          *D_pt++ = pairs_iterator->score ;
        }
      }
    }
    mxFree(pairs_begin) ;
  }
}
vlfeat-0.9.16/toolbox/sift/vl_ubcmatch.m000066400000000000000000000022621203326130700201670ustar00rootroot00000000000000% VL_UBCMATCH  Match SIFT features
%   MATCHES = VL_UBCMATCH(DESCR1, DESCR2) matches the two sets of SIFT
%   descriptors DESCR1 and DESCR2.
%
%   [MATCHES,SCORES] = VL_UBCMATCH(DESCR1, DESCR2) retuns the matches and
%   also the squared Euclidean distance between the matches.
%
%   The function uses the algorithm suggested by D. Lowe [1] to reject
%   matches that are too ambiguous.
%
%   VL_UBCMATCH(DESCR1, DESCR2, THRESH) uses the specified threshold
%   THRESH. A descriptor D1 is matched to a descriptor D2 only if the
%   distance d(D1,D2) multiplied by THRESH is not greater than the
%   distance of D1 to all other descriptors. The default value of
%   THRESH is 1.5.
%
%   The storage class of the descriptors can be either DOUBLE, FLOAT,
%   INT8 or UINT8. Usually integer classes are faster.
%
%   REFERENCES::
%     [1] D. G. Lowe, Distinctive image features from scale-invariant
%     keypoints. IJCV, vol. 2, no. 60, pp. 91-110, 2004.
%
%   See also: VL_HELP(), VL_SIFT().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).
vlfeat-0.9.16/toolbox/sift/vl_ubcread.m000066400000000000000000000057071203326130700200150ustar00rootroot00000000000000function [f,d] = vl_ubcread(file, varargin)
% SIFTREAD Read Lowe's SIFT implementation data files
%   [F,D] = VL_UBCREAD(FILE) reads the frames F and the descriptors D
%   from FILE in UBC (Lowe's original implementation of SIFT) format
%   and returns F and D as defined by VL_SIFT().
%
%   VL_UBCREAD(FILE, 'FORMAT', 'OXFORD') assumes the format used by
%   Oxford VGG implementations .
%
%   See also: VL_SIFT(), VL_HELP().

% Authors: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

opts.verbosity = 0 ;
opts.format = 'ubc' ;
opts = vl_argparse(opts, varargin) ;

g = fopen(file, 'r');
if g == -1
    error(['Could not open file ''', file, '''.']) ;
end
[header, count] = fscanf(g, '%d', [1 2]) ;
if count ~= 2
    error('Invalid keypoint file header.');
end
switch opts.format
  case 'ubc'
    numKeypoints  = header(1) ;
    descrLen      = header(2) ;

  case 'oxford'
    numKeypoints  = header(2) ;
    descrLen      = header(1) ;

  otherwise
    error('Unknown format ''%s''.', opts.format) ;
end

if(opts.verbosity > 0)
	fprintf('%d keypoints, %d descriptor length.\n', numKeypoints, descrLen) ;
end

%creates two output matrices
switch opts.format
  case 'ubc'
    P = zeros(4,numKeypoints) ;

  case 'oxford'
    P = zeros(5,numKeypoints) ;
end

L = zeros(descrLen, numKeypoints) ;

%parse tmp.key
for k = 1:numKeypoints

  switch opts.format
    case 'ubc'
      % Record format: i,j,s,th
      [record, count] = fscanf(g, '%f', [1 4]) ;
      if count ~= 4
        error(...
          sprintf('Invalid keypoint file (parsing keypoint %d, frame part)',k) );
      end
      P(:,k) = record(:) ;

    case 'oxford'
      % Record format: x, y, a, b, c such that x' [a b ; b c] x = 1
      [record, count] = fscanf(g, '%f', [1 5]) ;
      if count ~= 5
        error(...
          sprintf('Invalid keypoint file (parsing keypoint %d, frame part)',k) );
      end
      P(:,k) = record(:) ;
  end


	% Record format: descriptor
	[record, count] = fscanf(g, '%d', [1 descrLen]) ;
	if count ~= descrLen
		error(...
			sprintf('Invalid keypoint file (parsing keypoint %d, descriptor part)',k) );
	end
	L(:,k) = record(:) ;

end
fclose(g) ;

switch opts.format
  case 'ubc'
    P(1:2,:) = flipud(P(1:2,:)) + 1 ; % i,j -> x,y

    f=[ P(1:2,:) ; P(3,:) ; -P(4,:) ] ;
    d=uint8(L) ;

    p=[1 2 3 4 5 6 7 8] ;
    q=[1 8 7 6 5 4 3 2] ;
    for j=0:3
      for i=0:3
        d(8*(i+4*j)+p,:) = d(8*(i+4*j)+q,:) ;
      end
    end

  case 'oxford'
    P(1:2,:) = P(1:2,:) + 1 ; % matlab origin
    f = P  ;
    f(3:5,:) = inv2x2(f(3:5,:)) ;
    d = uint8(L) ;
end


% --------------------------------------------------------------------
function S = inv2x2(C)
% --------------------------------------------------------------------

den = C(1,:) .* C(3,:) - C(2,:) .* C(2,:) ;
S = [C(3,:) ; -C(2,:) ; C(1,:)] ./ den([1 1 1], :) ;
vlfeat-0.9.16/toolbox/slic/000077500000000000000000000000001203326130700155055ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/slic/vl_slic.c000066400000000000000000000104661203326130700173130ustar00rootroot00000000000000/** @file vl_slic.c
 ** @brief vl_slic
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include 
#include 

#include 
#include 

/* option codes */
enum {
  opt_verbose,
  opt_min_segment_size
} ;

/* options */
vlmxOption  options [] = {
  {"Verbose",           0,   opt_verbose             },
  {"MinRegionSize",     1,   opt_min_segment_size    },
  {0,                   0,   0                       }
} ;

/** ------------------------------------------------------------------
 ** @brief MEX entry point
 **/

void
mexFunction(int nout, mxArray *out[],
            int nin, const mxArray *in[])
{
  enum {IN_IMAGE, IN_REGIONSIZE, IN_REGULARIZER, IN_END} ;
  enum {OUT_SEGMENTATION = 0} ;

  int            verbose = 0 ;
  int            opt ;
  int            next = IN_END ;
  mxArray const *optarg ;

  float const * image ;
  vl_size width ;
  vl_size height ;
  vl_size numChannels ;
  vl_size regionSize ;
  double regularizer ;
  vl_uint32 * segmentation ;
  int minRegionSize = -1 ;

  VL_USE_MATLAB_ENV ;

  /* -----------------------------------------------------------------
   *                                               Check the arguments
   * -------------------------------------------------------------- */

  if (nin < 3) {
    vlmxError(vlmxErrInvalidArgument,
              "At least three arguments are required.") ;
  } else if (nout > 1) {
    vlmxError(vlmxErrInvalidArgument,
              "Too many output arguments.");
  }

  image = mxGetData(IN(IMAGE)) ;
  if (!mxIsNumeric(IN(IMAGE)) || mxIsComplex(IN(IMAGE))) {
    vlmxError(vlmxErrInvalidArgument, "IMAGE is not a real matrix.") ;
  }
  if (mxGetClassID(IN(IMAGE)) != mxSINGLE_CLASS) {
    vlmxError(vlmxErrInvalidArgument, "IMAGE is not of class SINGLE.") ;
  }
  if (mxGetNumberOfDimensions(IN(IMAGE)) > 3) {
    vlmxError(vlmxErrInvalidArgument, "IMAGE has more than three dimensions.") ;
  }

  width = mxGetDimensions(IN(IMAGE))[1] ;
  height = mxGetDimensions(IN(IMAGE))[0] ;
  if (mxGetNumberOfDimensions(IN(IMAGE)) == 2) {
    numChannels = 1 ;
  } else {
    numChannels = mxGetDimensions(IN(IMAGE))[2] ;
  }

  if (!vlmxIsPlainScalar(IN(REGIONSIZE))) {
    vlmxError(vlmxErrInvalidArgument, "REGIONSIZE is not a plain scalar.") ;
  }
  regionSize = mxGetScalar(IN(REGIONSIZE)) ;
  if (regionSize < 1) {
    vlmxError(vlmxErrInvalidArgument, "REGIONSIZE=%d is smaller than one.", regionSize) ;
  }

  if (!vlmxIsPlainScalar(IN(REGULARIZER))) {
    vlmxError(vlmxErrInvalidArgument, "REGULARIZER is not a plain scalar.") ;
  }
  regularizer = mxGetScalar(IN(REGULARIZER)) ;
  if (regularizer < 0) {
    vlmxError(vlmxErrInvalidArgument, "REGULARIZER=%g is smaller than one.", regularizer) ;
  }

  while ((opt = vlmxNextOption (in, nin, options, &next, &optarg)) >= 0) {
    switch (opt) {
      case opt_verbose :
        ++ verbose ;
        break ;
      case opt_min_segment_size :
        if (!vlmxIsPlainScalar(optarg)) {
          vlmxError(vlmxErrInvalidArgument, "MINREGIONSIZE is not a plain scalar.") ;
        }
        minRegionSize = mxGetScalar(optarg) ;
        if (minRegionSize < 0) {
          vlmxError(vlmxErrInvalidArgument, "MINREGIONSIZE=%d is smaller than zero.", minRegionSize) ;
        }
        break ;
    }
  }

  if (minRegionSize < 0) {
    minRegionSize = (regionSize * regionSize) / (6*6) ;
  }

  if (verbose) {
    mexPrintf("vl_slic: image = [%d x %d x %d]\n",
              width, height, numChannels) ;
    mexPrintf("vl_slic: regionSize = %d\n", regionSize) ;
    mexPrintf("vl_slic: regularizer = %g\n", regularizer) ;
    mexPrintf("vl_slic: minRegionSize = %d\n", minRegionSize) ;
  }

  /* -----------------------------------------------------------------
   *                                                           Do work
   * -------------------------------------------------------------- */

  OUT(SEGMENTATION) = mxCreateNumericMatrix((mwSize)height, (mwSize)width, mxUINT32_CLASS, mxREAL) ;
  segmentation = mxGetData(OUT(SEGMENTATION)) ;

  vl_slic_segment(segmentation,
                  image, height, width, numChannels, /* the image is transposed */
                  regionSize, regularizer, minRegionSize) ;
}
vlfeat-0.9.16/toolbox/slic/vl_slic.m000066400000000000000000000021171203326130700173170ustar00rootroot00000000000000% VL_SLIC  SLIC superpixels
%   SEGMENTS = VL_SLIC(IM, REGIONSIZE, REGULARIZER) extracts the SLIC
%   superpixes [1] from image IM. REGIONSIZE is the starting size of
%   the superpixels and REGULARIZER is the trades-off appearance for
%   spatial regularity when clustering (a larger value results in more
%   spatial regularization). SEGMENTS is a UINT32 array containing the
%   superpixel identifier for each image pixel.
%
%   The image IM is a SINGLE array with two or three dimensions. The
%   third dimension is arbitrary, but it is usually three for RGB or
%   LAB images.
%
%   VL_SLIC() accepts the following options:
%
%   Verbose::
%     Be verbose.
%
%   MinRegionSize:: (1/6 of REGIONSIZE)^2
%     The minimum size (in pixel area) of the extracted
%     superpixels.
%
%   Example::
%     If IM contains an RGB images, the SLIC superpixels can be
%     extracted as:
%
%   REFERENCES::
%     [1] R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and
%     S. Susstrunk. SLIC superpixels. Technical report, EPFL, 2010.
%
%   See also:: http://www.vlfeat.org/doc/api/slic.html, VL_HELP().
vlfeat-0.9.16/toolbox/special/000077500000000000000000000000001203326130700161735ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/special/vl_ddgaussian.m000066400000000000000000000012001203326130700211650ustar00rootroot00000000000000function y = vl_ddgaussian(x)
% VL_DDGAUSSIAN Second derivative of the Gaussian density function
%   Y=VL_DDGAUSSIAN(X) computes the second derivative of the standard
%   Gaussian density.
%
%   To obtain the second derivative of the Gaussian density of
%   standard deviation S, do
%
%     Y = 1/S^3 * VL_DDGAUSSIAN(X/S) .
%
%   See also: VL_GAUSSIAN(), VL_DGAUSSIAN(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

y = (x.^2 - 1)/sqrt(2*pi) .* exp(-0.5*x.^2) ;
vlfeat-0.9.16/toolbox/special/vl_dgaussian.m000066400000000000000000000011141203326130700210250ustar00rootroot00000000000000function y = vl_dgaussian(x)
% VL_DGAUSSIAN  Derivative of the Gaussian density function
%   Y=VL_DGAUSSIAN(X) evaluates the derivative of the standard Gaussian
%   density.
%
%   To obtain the Gaussian density of standard deviation S, do
%
%     Y = 1/S^2 * VL_DGAUSSIAN(X/S) .
%
%   See also: VL_GAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

y = -x/sqrt(2*pi) .* exp(-0.5*x.^2) ;
vlfeat-0.9.16/toolbox/special/vl_dsigmoid.m000066400000000000000000000007641203326130700206600ustar00rootroot00000000000000function y = vl_dsigmoid(x)
% VL_DSIGMOID  Derivative of the sigmoid function
%   Y = VL_DSIGMOID(X) returns the derivative of VL_SIGMOID(X). This is
%   calculated as - VL_SIGMOID(X) * (1 - VL_SIGMOID(X)).
%
%   See also: VL_SIGMOID(X), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

t = vl_sigmoid(x) ;
y = t .* (1 - t) ;
vlfeat-0.9.16/toolbox/special/vl_gaussian.m000066400000000000000000000011001203326130700206540ustar00rootroot00000000000000function y = vl_gaussian(x)
% VL_GAUSSIAN  Standard Gaussian density function
%   Y=VL_GAUSSIAN(X) computes the standard (zero mean, unit variance)
%   Gaussian density.
%
%   To obtain the Gaussian density of standard deviation S do
%
%     Y = 1/S * VL_GAUSSIAN(X/S).
%
%   See also: VL_DGAUSSIAN(), VL_DDGAUSSIAN(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

y = 1/sqrt(2*pi)*exp(-0.5*x.^2) ;
vlfeat-0.9.16/toolbox/special/vl_rcos.m000066400000000000000000000010021203326130700200110ustar00rootroot00000000000000function y = vl_rcos(r,x)
% VL_RCOS RCOS function
%   Y = VL_RCOS(R,X) computes the RCOS function with roll-off R.
%
%   See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

x = abs(x) ;
if(r > 0)
  y = (x < (1 - r)) + ...
      0.5 * (1 + cos((1 - r - x)/r*pi)) .* ...
      (x <= 1) .* (x >= 1 - r) ;
else
  y = (abs(x) <= 1) ;
end
vlfeat-0.9.16/toolbox/special/vl_sigmoid.m000066400000000000000000000011711203326130700205050ustar00rootroot00000000000000function y = vl_sigmoid(x)
% VL_SIGMOID Sigmoid function
%   Y = VL_SIGMOID(X) returns
%
%    Y = 1 ./ (1 + EXP(X)) ;
%
%   Remark::
%     Useful properties of the sigmoid function are:
%
%     -  1 - VL_SIGMOID(X) = VL_SIGMOID(-X)
%     -  Centered sigmoid: 2 * VL_SIGMOID(X) - 1 ;
%     -  VL_SIGMOID(X) = (EXP(X/2) - EXP(X/2)) / (EXP(X/2) + EXP(X/2))
%
%   See also: VL_DSIGMOID(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

y = 1 ./ (1 + exp(-x)) ;
vlfeat-0.9.16/toolbox/vl_compile.m000066400000000000000000000117041203326130700170650ustar00rootroot00000000000000function vl_compile(compiler)
% VL_COMPILE  Compile VLFeat MEX files
%   VL_COMPILE() uses MEX() to compile VLFeat MEX files. This command
%   works only under Windows and is used to re-build problematic
%   binaries. The preferred method of compiling VLFeat on both UNIX
%   and Windows is through the provided Makefiles.
%
%   VL_COMPILE() only compiles the MEX files and assumes that the
%   VLFeat DLL (i.e. the file VLFEATROOT/bin/win{32,64}/vl.dll) has
%   already been built. This file is built by the Makefiles.
%
%   By default VL_COMPILE() assumes that Visual C++ is the active
%   MATLAB compiler. VL_COMPILE('lcc') assumes that the active
%   compiler is LCC instead (see MEX -SETUP). Unfortunately LCC does
%   not seem to be able to compile the latest versions of VLFeat due
%   to bugs in the support of 64-bit integers. Therefore it is
%   recommended to use Visual C++ instead.
%
%   See also: VL_NOPREFIX(), VL_HELP().

% Authors: Andrea Vedadli, Jonghyun Choi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin < 1, compiler = 'visualc' ; end
switch lower(compiler)
  case 'visualc'
    fprintf('%s: assuming that Visual C++ is the active compiler\n', mfilename) ;
    useLcc = false ;
  case 'lcc'
    fprintf('%s: assuming that LCC is the active compiler\n', mfilename) ;
    warning('LCC may fail to compile VLFeat. See help vl_compile.') ;
    useLcc = true ;
  otherwise
    error('Unknown compiler ''%s''.', compiler)
end

vlDir = vl_root ;
toolboxDir = fullfile(vlDir, 'toolbox') ;

switch computer
  case 'PCWIN'
    fprintf('%s: compiling for PCWIN (32 bit)\n', mfilename);
    mexwDir = fullfile(toolboxDir, 'mex', 'mexw32') ;
    binwDir = fullfile(vlDir, 'bin', 'win32') ;
  case 'PCWIN64'
    fprintf('%s: compiling for PCWIN64 (64 bit)\n', mfilename);
    mexwDir = fullfile(toolboxDir, 'mex', 'mexw64') ;
    binwDir = fullfile(vlDir, 'bin', 'win64') ;
  otherwise
    error('The architecture is neither PCWIN nor PCWIN64. See help vl_compile.') ;
end

impLibPath = fullfile(binwDir, 'vl.lib') ;
libDir = fullfile(binwDir, 'vl.dll') ;

mkd(mexwDir) ;

% find the subdirectories of toolbox that we should process
subDirs = dir(toolboxDir) ;
subDirs = subDirs([subDirs.isdir]) ;
discard = regexp({subDirs.name}, '^(.|..|noprefix|mex.*)$', 'start') ;
keep    = cellfun('isempty', discard) ;
subDirs = subDirs(keep) ;
subDirs = {subDirs.name} ;

% Copy support files  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
if ~exist(fullfile(binwDir, 'vl.dll'))
  error('The VLFeat DLL (%s) could not be found. See help vl_compile.', ...
    fullfile(binwDir, 'vl.dll')) ;
end
tmp = dir(fullfile(binwDir, '*.dll')) ;
supportFileNames = {tmp.name} ;
for fi = 1:length(supportFileNames)
  name = supportFileNames{fi} ;
  cp(fullfile(binwDir, name),  ...
     fullfile(mexwDir, name)   ) ;
end

% Ensure implib for LCC ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
if useLcc
  lccImpLibDir  = fullfile(mexwDir, 'lcc') ;
  lccImpLibPath = fullfile(lccImpLibDir, 'VL.lib') ;
  lccRoot       = fullfile(matlabroot, 'sys', 'lcc', 'bin') ;
  lccImpExePath = fullfile(lccRoot, 'lcc_implib.exe') ;

  mkd(lccImpLibDir) ;
  cp(fullfile(binwDir, 'vl.dll'), fullfile(lccImpLibDir, 'vl.dll')) ;

  cmd = ['"' lccImpExePath '"', ' -u ', '"' fullfile(lccImpLibDir, 'vl.dll') '"'] ;
  fprintf('Running:\n> %s\n', cmd) ;

  curPath = pwd ;
  try
    cd(lccImpLibDir) ;
    [d,w] = system(cmd) ;
    if d, error(w); end
    cd(curPath) ;
  catch
    cd(curPath) ;
    error(lasterr) ;
  end
end

% Compile each mex file ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
for i = 1:length(subDirs)
  thisDir = fullfile(toolboxDir, subDirs{i}) ;
  fileNames = ls(fullfile(thisDir, '*.c'));

  for f = 1:size(fileNames,1)
    fileName = fileNames(f, :) ;

    sp  = strfind(fileName, ' ');
    if length(sp) > 0, fileName = fileName(1:sp-1); end

    filePath = fullfile(thisDir, fileName);
    fprintf('MEX %s\n', filePath);

    dot = strfind(fileName, '.');
    mexFile = fullfile(mexwDir, [fileName(1:dot) 'dll']);
    if exist(mexFile)
      delete(mexFile)
    end

    cmd = {['-I' toolboxDir],   ...
           ['-I' vlDir],        ...
           '-O',                ...
          '-outdir', mexwDir, ...
           filePath             } ;

    if useLcc
      cmd{end+1} = lccImpLibPath ;
    else
      cmd{end+1} = impLibPath ;
    end
    mex(cmd{:}) ;
  end
end

% --------------------------------------------------------------------
function cp(src,dst)
% --------------------------------------------------------------------
if ~exist(dst,'file')
  fprintf('Copying ''%s'' to ''%s''.\n', src,dst) ;
  copyfile(src,dst) ;
end

% --------------------------------------------------------------------
function mkd(dst)
% --------------------------------------------------------------------
if ~exist(dst, 'dir')
  fprintf('Creating directory ''%s''.', dst) ;
  mkdir(dst) ;
end
vlfeat-0.9.16/toolbox/vl_demo.m000066400000000000000000000020261203326130700163560ustar00rootroot00000000000000function vl_demo
% VL_DEMO Run VLFeat demos
%   VL_DEMO runs all VLFeat demos in a row, exporting figures for
%   the documentation. Edit this file to see a list of the vailable
%   demos, or look into the toolbox/demo directory.

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

root = vl_root ;
demo_path = fullfile(root,'toolbox','demo') ;
addpath(demo_path) ;

vl_demo_covdet ;

vl_demo_sift_basic ;
vl_demo_sift_peak ;
vl_demo_sift_edge ;
vl_demo_sift_cmd ;
vl_demo_sift_or ;
vl_demo_sift_match ;
vl_demo_sift_vs_ubc ;

vl_demo_mser_basic ;
vl_demo_mser_delta ;
vl_demo_mser_cmd ;

vl_demo_aib ;
vl_demo_quickshift ;
vl_demo_slic ;
vl_demo_dsift ;
vl_demo_hog ;

vl_demo_svmpegasos ;

vl_demo_kdtree ;
vl_demo_kdtree_sift ;
vl_demo_kdtree_self ;
vl_demo_kdtree_forest ;
vl_demo_kdtree_ann ;

vl_demo_imdisttf ;

vl_demo_plots_rank ;

rmpath(demo_path);
vlfeat-0.9.16/toolbox/vl_harris.m000066400000000000000000000073321203326130700167270ustar00rootroot00000000000000function [H,details] = vl_harris(I,si,alpha)
% VL_HARRIS  Harris corner strength
%  H = VL_HARRIS(I,SI) computes the Harris corner strength of the image I
%  at ``integration'' scale SI.
%
%  The Harris strength [1] of a pixel is a statistic of the gradient
%  of the image integrated in a neighborhood of that pixel. This
%  neighborhood is a Gaussian window of variance SI.
%
%  In computing the Harris corner strength, there is a second scale
%  parameter, the ``derivation'' scale SD, which is the variance of
%  the Gaussian kernel used to pre-smooth the image I before computing
%  its gradient. SI and SD are independent parameters and VL_HARRIS(I,SI)
%  assumes that I is already smoothed at level SD.
%
%  VL_HARRIS(I,SI) uses Noble's variation [2] of the Harris score. If
%  SIGMAP and SIGMAM are respectively the biggest and smallest
%  eigenvalue of the structure tensor at a pixel, the score is given
%  by (SIGMAP*SIGMAM) / (SIGMAP+SIGMAM/2).  Let GAMMA = SIGMAM/SIGMAP
%  the ratio between the eigenvalues, which measures the degree of
%  anisotropy of the tensor and is always comprised in the range
%  [0,1].  Noble's score can be decomposed in two factors: the biggest
%  eigenvalue SIGMAP and the number
%
%    RHO = (2 GAMMA) / (GAMMA + 1).
%
%  RHO is another measure of isotropy that has value one for a
%  symmetric tensor and and zero for maximally anisotropic tensor.
%  [H,DETAILS] = VL_HARRIS(I,SIGMA) returns the additional structure
%  DETAILS with the following fields:
%
%    DETAILS.SIGMAP
%    DETAILS.RHO
%
%  VL_HARRIS(I,SI,ALPHA) uses Harris' original score [1], defined to be
%  SIGMAP*SIGMAM - ALPHA*(SIGMAP+SIGMAM)^2. This can be decomposed in
%  the factors SIGMAP^2 (note the square) and
%
%    RHO = GAMMA - ALPHA (1+GAMMA)^2.
%
%  Note that RHO is equal to -ALPHA for a maximally anisotropic
%  tensor. Typically ALPHA=0.04 and this is what is used by
%  VL_HARRIS(I,SI,[]).
%
%  REMARK. The gradient of the image I, used to compute the structure
%  tensor, is computed using central differencies. This means that a
%  function line [+1,-1,+1,...] has null Harris' score. This is
%  generally assumed to be a sampling artifact, and might be
%  avoided by oversampling the image.
%
%  EXAMPLE::
%    To extacts Harris points from image I:
%      idx = vl_localmax( vl_harris( vl_imsmooth( I, sd ), si ) ) ;
%      [i,j] = ind2sub( size(I), idx )
%
%  REFERENCES::
%    [1] C. Harris and M. Stephens, "A combined corner and edge detector,"
%    in Proceedings of The Fourth Alvey Vision Conference, pp. 147-151,
%    1988.
%
%    [2] J. A. Noble, "Finding corners, "Image Vision Computing, vol. 6,
%    no. 2, pp. 121-128, 1988.
%
%  See also: VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[Ix,Iy] = gradient(I) ;
H11 = vl_imsmooth(Ix.*Ix, si) ;
H12 = vl_imsmooth(Ix.*Iy, si) ;
H22 = vl_imsmooth(Iy.*Iy, si) ;

if nargin > 2
  % Harris' original
  if isempty(alpha)
    alpha = 0.04 ;
  end
  H = (H11.*H22 - H12.^2) - alpha*(H11+H22).^2 ;
else
  % Noble's variation
  H = 2 *  (H11.*H22 - H12.^2)./(H11+H22+eps) ;
end

% -------------------------------------------------------------------
%                                              Extract auxiliary info
% -------------------------------------------------------------------

if nargout > 1
  tr = H11 + H22 ;
  dt = H11.*H22 - H12.^2 ;
  Lm = 0.5 * (tr - sqrt(tr.^2 - 4*dt));
  Lp = 0.5 * (tr + sqrt(tr.^2 - 4*dt));
  Lm = real(Lm) ;
  Lp = real(Lp) ;

  gamma=sqrt(Lm./Lp) ;

  details.sigmap = Lp ;
  if nargin > 2
    details.rho = gamma - alpha * (1+gamma).^2 ;
  else
    details.rho   = 2*gamma ./ (1 + gamma) ;
  end
end
vlfeat-0.9.16/toolbox/vl_help.m000066400000000000000000000020041203326130700163560ustar00rootroot00000000000000function vl_help(mode)
% VL_HELP VLFeat Toolbox
%   The VLFeat MATLAB toolbox provides implementations of common
%   computer vision algorithms (HOG, SIFT, dense SIFT, MSER, AIB,
%   KMEANS, learning large scale SVMs...) and many utility functions
%   (e.g. precision-recall, ROC, DET curve calculation, plotting
%   functions). To get started:
%
%   * Type vl_help doc
%   * Type vl_help online
%   * Use the help command to get information about any VLFeat function
%   * Directly check the documentation online: http://www.vlfeat.org

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

if nargin == 0
  help vl_help ;
else
  switch lower(mode)
    case 'doc', web(fullfile(vl_root, 'doc', 'index.html'), '-helpbrowser') ;
    case 'online', web('http://www.vlfeat.org/') ;
    otherwise
      error('Unkown help mode %s', mode);
  end
end
vlfeat-0.9.16/toolbox/vl_noprefix.m000066400000000000000000000035231203326130700172670ustar00rootroot00000000000000function vl_noprefix
% VL_NOPREFIX  Create a prefix-less version of VLFeat commands
%   VL_NOPREFIX() creats prefix-less stubs for VLFeat functions
%   (e.g. SIFT for VL_SIFT). This function is seldom used as the stubs
%   are included in the VLFeat binary distribution anyways. Moreover,
%   on UNIX platforms, the stubs are generally constructed by the
%   Makefile.
%
%   See also: VL_COMPILE(), VL_HELP().

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

root = fileparts(which(mfilename)) ;
list = listMFilesX(root);
outDir = fullfile(root, 'noprefix') ;

if ~exist(outDir, 'dir')
  mkdir(outDir) ;
end

for li = 1:length(list)
  name = list(li).name(1:end-2) ; % remove .m
  nname = name(4:end) ; % remove vl_
  stubPath = fullfile(outDir, [nname '.m']) ;
  fout = fopen(stubPath, 'w') ;

  fprintf('Creating stub %s for %s\n', stubPath, nname) ;

  fprintf(fout, 'function varargout = %s(varargin)\n', nname) ;
  fprintf(fout, '%% %s Stub for %s\n', upper(nname), upper(name)) ;
  fprintf(fout, '[varargout{1:nargout}] = %s(varargin{:})\n', name) ;

  fclose(fout) ;
end

end

function list = listMFilesX(root)
list = struct('name', {}, 'path', {}) ;
files = dir(root) ;
for fi = 1:length(files)
  name = files(fi).name ;
  if files(fi).isdir
    if any(regexp(name, '^(\.|\.\.|noprefix)$'))
      continue ;
    else
      tmp = listMFilesX(fullfile(root, name)) ;
      list = [list, tmp] ;
    end
  end
  if any(regexp(name, '^vl_(demo|test).*m$'))
    continue ;
  elseif any(regexp(name, '^vl_(demo|setup|compile|help|root|noprefix)\.m$'))
    continue ;
  elseif any(regexp(name, '\.m$'))
    list(end+1) = struct(...
      'name', {name}, ...
      'path', {fullfile(root, name)}) ;
  end
end
end
vlfeat-0.9.16/toolbox/vl_root.m000066400000000000000000000007701203326130700164210ustar00rootroot00000000000000function path = vl_root
% VL_ROOT  Obtain VLFeat root path
%   PATH = VL_ROOT() returns the path to the VLFeat installation.
%
%   See also: VL_SETUP(), VL_HELP().

% Authors: Andrea Vedaldi and Brian Fulkerson

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

[a,b,c] = fileparts(mfilename('fullpath')) ;
[a,b,c] = fileparts(a) ;
path = a ;
vlfeat-0.9.16/toolbox/vl_setup.m000066400000000000000000000051541203326130700165770ustar00rootroot00000000000000function path = vl_setup(varargin)
% VL_SETUP Add VLFeat Toolbox to the path
%   PATH = VL_SETUP() adds the VLFeat Toolbox to MATLAB path and
%   returns the path PATH to the VLFeat package.
%
%   VL_SETUP('NOPREFIX') adds aliases to each function that do not
%   contain the VL_ prefix. For example, with this option it is
%   possible to use SIFT() instead of VL_SIFT().
%
%   VL_SETUP('TEST') or VL_SETUP('XTEST') adds VLFeat unit test
%   function suite. See also VL_TEST().
%
%   VL_SETUP('QUIET') does not print the greeting message.
%
%   See also: VL_ROOT(), VL_HELP().

% Authors: Andrea Vedaldi and Brian Fulkerson

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

noprefix = false ;
quiet = true ;
xtest = false ;
demo = false ;

for ai=1:length(varargin)
  opt = varargin{ai} ;
  switch lower(opt)
    case {'noprefix', 'usingvl'}
      noprefix = true ;
    case {'test', 'xtest'}
      xtest = true ;
    case {'demo'}
      demo = true ;
    case {'quiet'}
      quiet = true ;
    case {'verbose'}
      quiet = false ;
    otherwise
      error('Unknown option ''%s''.', opt) ;
  end
end

if exist('octave_config_info')
  bindir = 'octave' ;
else
  bindir = mexext ;
  if strcmp(bindir, 'dll'), bindir = 'mexw32' ; end
end
bindir = fullfile('mex',bindir) ;

% Do not use vl_root() to avoid conflicts with other VLFeat
% installations.

[a,b,c] = fileparts(mfilename('fullpath')) ;
[a,b,c] = fileparts(a) ;
root = a ;

addpath(fullfile(root,'toolbox'             )) ;
addpath(fullfile(root,'toolbox','aib'       )) ;
addpath(fullfile(root,'toolbox','geometry'  )) ;
addpath(fullfile(root,'toolbox','imop'      )) ;
addpath(fullfile(root,'toolbox','kmeans'    )) ;
addpath(fullfile(root,'toolbox','misc'      )) ;
addpath(fullfile(root,'toolbox','mser'      )) ;
addpath(fullfile(root,'toolbox','plotop'    )) ;
addpath(fullfile(root,'toolbox','quickshift')) ;
addpath(fullfile(root,'toolbox','sift'      )) ;
addpath(fullfile(root,'toolbox','special'   )) ;
addpath(fullfile(root,'toolbox','slic'      )) ;
addpath(fullfile(root,'toolbox',bindir      )) ;

if noprefix
  addpath(fullfile(root,'toolbox','noprefix')) ;
end

if xtest
  addpath(fullfile(root,'toolbox','xtest')) ;
end

if demo
  addpath(fullfile(root,'toolbox','demo')) ;
end

if ~quiet
  if exist('vl_version') == 3
    fprintf('VLFeat %s ready.\n', vl_version) ;
  else
    warning('VLFeat does not seem to be installed correctly. Make sure that the MEX files are compiled.') ;
  end
end

if nargout == 0
  clear path ;
end
vlfeat-0.9.16/toolbox/xtest/000077500000000000000000000000001203326130700157225ustar00rootroot00000000000000vlfeat-0.9.16/toolbox/xtest/vl_assert_almost_equal.m000066400000000000000000000012311203326130700226450ustar00rootroot00000000000000function vl_assert_almost_equal(x, y, varargin)
  epsilon = 1e-6 ;
  if length(varargin) > 0
    if isnumeric(varargin{1})
      epsilon = varargin{1} ;
      varargin(1) = [] ;
    end
  end
  assert(isequal(class(x), class(y)), varargin{:}) ;
  assert(isequal(size(x),size(y)), varargin{:}) ;
  if isstruct(x)
    fx = fieldnames(x) ;
    fy = fieldnames(y) ;
    assert(isequal(fx,fy), varargin{:}) ;
    for i=1:numel(fx)
      vl_assert_almost_equal(x.(fx{i}), y.(fy{i}), epsilon, varargin{:}) ;
    end
  else
    i = isnan(x) ;
    j = isnan(y) ;
    assert(isequal(i,j), varargin{:}) ;
    assert(max(abs(x(~i) - y(~i))) < epsilon, varargin{:}) ;
  end
end
vlfeat-0.9.16/toolbox/xtest/vl_assert_equal.m000066400000000000000000000001371203326130700212720ustar00rootroot00000000000000function vl_assert_equal(x, y, varargin)
  assert(isequalwithequalnans(x,y),varargin{:}) ;
end
vlfeat-0.9.16/toolbox/xtest/vl_assert_exception.m000066400000000000000000000010151203326130700221550ustar00rootroot00000000000000function vl_assert_exception(func, errorId, errorMessage)
% VL_ASSERT_EXCEPTION

try
  func() ;
catch
  e = lasterror ;
  if nargin >= 2
    assert(isequal(e.identifier, errorId), ...
           'Exception ID ''%s'' is not ''%s''.', ...
           e.identifier, errorId) ;
  end
  if nargin >= 3
    assert(isequal(e.message, errorMessage), ...
           'Exception message ''%s'' is not ''%s''.', ...
           e.message, errorMessage) ;
  end
  return ;
end
assert(0, 'The function did not generate an exception.') ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test.m000066400000000000000000000034071203326130700175640ustar00rootroot00000000000000function results = vl_test(suite, test)
% VL_TEST  Run test suite
%  RESULTS = VL_TEST() runs all VLFeat test suites. The tests
%  verify that VLFeat is working correctly.
%
%  RESULTS is a structure listing the result of each test.
%  It has fileds:
%
%  TESTNAME:   name of the test
%  SUCCEDED:   a boolean flag indicating whether the test succeded
%  EXCEPTION:  the exception generated if the test failed
%
%  VL_TEST(SUITE) runs only the specified SUITE.
%
%  VL_TEST(SUITE, TEST) runs the specified SUITE/TEST without catching
%  the potential exception. Useful to DBSTOP to debug.

% Author: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

clear functions ;

testRoot = fileparts(mfilename('fullpath')) ;

if nargin == 0
  files = dir(fullfile(testRoot, 'vl_test_*m')) ;
elseif nargin == 1
  files.name = fullfile(['vl_test_' suite '.m']) ;
end

if nargin < 2
  results = {} ;
  for i = 1:length(files)
    testCommand = files(i).name(1:end-2) ;
    if strcmp(testCommand, 'vl_test_init'), continue ; end
    fprintf('vl_test: running %s\n', testCommand) ;
    results{i} = feval(str2func(testCommand)) ;
  end

  results = cat(2, results{:}) ;
  for i = 1:length(results)
    if results(i).succeded
      fprintf('vl_test: %-35s ... passed\n', results(i).testName) ;
    else
      fprintf('vl_test: %-35s ... failed\n', results(i).testName) ;
      fprintf('%s:%d: %s\n', ...
              results(i).exception.stack(1).name, ...
              results(i).exception.stack(1).line, ...
              results(i).exception.message) ;
    end
  end

else
  feval(str2func(sprintf('vl_test_%s', suite)), test) ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_aib.m000066400000000000000000000023751203326130700204020ustar00rootroot00000000000000function results = vl_test_aib(varargin)
% VL_TEST_AIB
vl_test_init ;

function s = setup()
s = [] ;

function test_basic(s)
Pcx = [.3 .3 0   0
       0   0   .2 .2] ;

% This results in the AIB tree
%
%  1 - \
%       5 - \
%  2 - /     \
%             - 7
%  3 - \     /
%       6 - /
%  4 - /
%
% coded by the map [5 5 6 6 7 1] (1 denotes the root).

[parents,cost] = vl_aib(Pcx) ;
vl_assert_equal(parents, [5 5 6 6 7 7 1]) ;
vl_assert_almost_equal(mi(Pcx)*[1 1 1], cost(1:3), 1e-3) ;

[cut,map,short] = vl_aibcut(parents,2) ;
vl_assert_equal(cut, [5 6]) ;
vl_assert_equal(map, [1 1 2 2 1 2 0]) ;
vl_assert_equal(short, [5 5 6 6 5 6 7]) ;

function test_cluster_null(s)
Pcx = [.5 .5   0   0
       0   0   0   0] ;

% This results in the AIB tree
%
%  1 - \
%       5
%  2 - /
%
%  3 x
%
%  4 x
%
% If ClusterNull is specified, the values 3 and 4
% which have zero probability are merged first
%
%  1 ----------\
%               7
%  2 ----- \   /
%           6-/
%  3 -\    /
%      5 -/
%  4 -/

parents1 = vl_aib(Pcx) ;
parents2 = vl_aib(Pcx,'ClusterNull') ;
vl_assert_equal(parents1, [5 5 0 0 1 0 0]) ;
vl_assert_equal(parents2(3), parents2(4)) ;

function x = mi(P)
% mutual information
P1 = sum(P,1) ;
P2 = sum(P,2) ;
x = sum(sum(P .* log(max(P,1e-10) ./ (P2*P1)))) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_alldist.m000066400000000000000000000045051203326130700213000ustar00rootroot00000000000000function results = vl_test_alldist(varargin)
% VL_TEST_ALLDIST
vl_test_init ;

function s = setup()
vl_twister('state', 0) ;
s.X = 3.1 * vl_twister(10,10) ;
s.Y = 4.7 * vl_twister(10,7) ;

function test_null_args(s)
vl_assert_equal(...
  vl_alldist(zeros(15,12), zeros(15,0), 'kl2'), ...
  zeros(12,0)) ;

vl_assert_equal(...
  vl_alldist(zeros(15,0), zeros(15,0), 'kl2'), ...
  zeros(0,0)) ;

vl_assert_equal(...
  vl_alldist(zeros(15,0), zeros(15,12), 'kl2'), ...
  zeros(0,12)) ;

vl_assert_equal(...
  vl_alldist(zeros(0,15), zeros(0,12), 'kl2'), ...
  zeros(15,12)) ;

function test_self(s)
vl_assert_almost_equal(...
  vl_alldist(s.X, 'kl2'), ...
  makedist(@(x,y) x*y, s.X, s.X), ...
  1e-6) ;

function test_distances(s)
dists = {'chi2', 'l2', 'l1', 'hell', 'js', ...
         'kchi2', 'kl2', 'kl1', 'khell', 'kjs'} ;
distsEquiv = { ...
  @(x,y) (x-y)^2 / (x + y), ...
  @(x,y) (x-y)^2, ...
  @(x,y) abs(x-y), ...
  @(x,y) (sqrt(x) - sqrt(y))^2, ...
  @(x,y) x - x .* log2(1 + y/x) + y - y .* log2(1 + x/y), ...
  @(x,y) 2 * (x*y) / (x + y), ...
  @(x,y) x*y, ...
  @(x,y) min(x,y), ...
  @(x,y) sqrt(x.*y), ...
  @(x,y) .5 * (x .* log2(1 + y/x) + y .* log2(1 + x/y))} ;
types = {'single', 'double'} ;

for simd = [0 1]
  for d = 1:length(dists)
    for t = 1:length(types)
      vl_simdctrl(simd) ;
      X = feval(str2func(types{t}), s.X) ;
      Y = feval(str2func(types{t}), s.Y) ;
      vl_assert_almost_equal(...
        vl_alldist(X,Y,dists{d}), ...
        makedist(distsEquiv{d},X,Y), ...
        1e-4, ...
        'alldist failed for dist=%s type=%s simd=%d', ...
        dists{d}, ...
        types{t}, ...
        simd) ;
    end
  end
end

function test_distance_kernel_pairs(s)
dists = {'chi2', 'l2', 'l1', 'hell', 'js'} ;
for d = 1:length(dists)
  dist = char(dists{d}) ;
  X = s.X ;
  Y = s.Y ;
  ker = ['k' dist] ;
  kxx = vl_alldist(X,X,ker) ;
  kyy = vl_alldist(Y,Y,ker) ;
  kxy = vl_alldist(X,Y,ker) ;
  kxx = repmat(diag(kxx), 1, size(s.Y,2)) ;
  kyy = repmat(diag(kyy), 1, size(s.X,1))' ;
  d2  = vl_alldist(X,Y,dist) ;
  vl_assert_almost_equal(d2, kxx + kyy - 2 * kxy, '1e-6') ;
end

function D = makedist(cmp,X,Y)
[d,m] = size(X) ;
[d,n] = size(Y) ;
D = zeros(m,n) ;
for i = 1:m
  for j = 1:n
    acc = 0 ;
    for k = 1:d
      acc = acc + cmp(X(k,i),Y(k,j)) ;
    end
    D(i,j) = acc ;
  end
end
conv = str2func(class(X)) ;
D = conv(D) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_alldist2.m000066400000000000000000000043541203326130700213640ustar00rootroot00000000000000function results = vl_test_alldist2(varargin)
% VL_TEST_ALLDIST
vl_test_init ;

% TODO: test integer classes

function s = setup()
vl_twister('state', 0) ;
s.X = 3.1 * vl_twister(10,10) ;
s.Y = 4.7 * vl_twister(10,7) ;

function test_null_args(s)
vl_assert_equal(...
  vl_alldist2(zeros(15,12), zeros(15,0), 'kl2'), ...
  zeros(12,0)) ;

vl_assert_equal(...
  vl_alldist2(zeros(15,0), zeros(15,0), 'kl2'), ...
  zeros(0,0)) ;

vl_assert_equal(...
  vl_alldist2(zeros(15,0), zeros(15,12), 'kl2'), ...
  zeros(0,12)) ;

vl_assert_equal(...
  vl_alldist2(zeros(0,15), zeros(0,12), 'kl2'), ...
  zeros(15,12)) ;

function test_self(s)
vl_assert_almost_equal(...
  vl_alldist2(s.X, 'kl2'), ...
  makedist(@(x,y) x*y, s.X, s.X), ...
  1e-6) ;

function test_distances(s)
dists = {'chi2', 'l2', 'l1', 'hell', ...
         'kchi2', 'kl2', 'kl1', 'khell'} ;
distsEquiv = { ...
  @(x,y) (x-y)^2 / (x + y), ...
  @(x,y) (x-y)^2, ...
  @(x,y) abs(x-y), ...
  @(x,y) (sqrt(x) - sqrt(y))^2, ...
  @(x,y) 2 * (x*y) / (x + y), ...
  @(x,y) x*y, ...
  @(x,y) min(x,y), ...
  @(x,y) sqrt(x.*y)};
types = {'single', 'double', 'sparse'} ;

for simd = [0 1]
  for d = 1:length(dists)
    for t = 1:length(types)
      vl_simdctrl(simd) ;
      X = feval(str2func(types{t}), s.X) ;
      Y = feval(str2func(types{t}), s.Y) ;
      a = vl_alldist2(X,Y,dists{d}) ;
      b = makedist(distsEquiv{d},X,Y) ;
      vl_assert_almost_equal(a,b, ...
        1e-4, ...
        'alldist failed for dist=%s type=%s simd=%d', ...
        dists{d}, ...
        types{t}, ...
        simd) ;
    end
  end
end

function test_distance_kernel_pairs(s)
dists = {'chi2', 'l2', 'l1', 'hell'} ;
for d = 1:length(dists)
  dist = char(dists{d}) ;
  X = s.X ;
  Y = s.Y ;
  ker = ['k' dist] ;
  kxx = vl_alldist2(X,X,ker) ;
  kyy = vl_alldist2(Y,Y,ker) ;
  kxy = vl_alldist2(X,Y,ker) ;
  kxx = repmat(diag(kxx), 1, size(s.Y,2)) ;
  kyy = repmat(diag(kyy), 1, size(s.X,1))' ;
  d2  = vl_alldist2(X,Y,dist) ;
  vl_assert_almost_equal(d2, kxx + kyy - 2 * kxy, '1e-6') ;
end

function D = makedist(cmp,X,Y)
[d,m] = size(X) ;
[d,n] = size(Y) ;
D = zeros(m,n) ;
for i = 1:m
  for j = 1:n
    acc = 0 ;
    for k = 1:d
      acc = acc + cmp(X(k,i),Y(k,j)) ;
    end
    D(i,j) = acc ;
  end
end
conv = str2func(class(X)) ;
D = conv(D) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_alphanum.m000066400000000000000000000031301203326130700214420ustar00rootroot00000000000000function results = vl_test_alphanum(varargin)
% VL_TEST_ALPHANUM
vl_test_init ;

function s = setup()

s.strings = ...
    {'1000X Radonius Maximus','10X Radonius','200X Radonius','20X Radonius','20X Radonius Prime','30X Radonius','40X Radonius','Allegia 50 Clasteron','Allegia 500 Clasteron','Allegia 50B Clasteron','Allegia 51 Clasteron','Allegia 6R Clasteron','Alpha 100','Alpha 2','Alpha 200','Alpha 2A','Alpha 2A-8000','Alpha 2A-900','Callisto Morphamax','Callisto Morphamax 500','Callisto Morphamax 5000','Callisto Morphamax 600','Callisto Morphamax 6000 SE','Callisto Morphamax 6000 SE2','Callisto Morphamax 700','Callisto Morphamax 7000','Xiph Xlater 10000','Xiph Xlater 2000','Xiph Xlater 300','Xiph Xlater 40','Xiph Xlater 5','Xiph Xlater 50','Xiph Xlater 500','Xiph Xlater 5000','Xiph Xlater 58'} ;

s.sortedStrings = ...
    {'10X Radonius','20X Radonius','20X Radonius Prime','30X Radonius','40X Radonius','200X Radonius','1000X Radonius Maximus','Allegia 6R Clasteron','Allegia 50 Clasteron','Allegia 50B Clasteron','Allegia 51 Clasteron','Allegia 500 Clasteron','Alpha 2','Alpha 2A','Alpha 2A-900','Alpha 2A-8000','Alpha 100','Alpha 200','Callisto Morphamax','Callisto Morphamax 500','Callisto Morphamax 600','Callisto Morphamax 700','Callisto Morphamax 5000','Callisto Morphamax 6000 SE','Callisto Morphamax 6000 SE2','Callisto Morphamax 7000','Xiph Xlater 5','Xiph Xlater 40','Xiph Xlater 50','Xiph Xlater 58','Xiph Xlater 300','Xiph Xlater 500','Xiph Xlater 2000','Xiph Xlater 5000','Xiph Xlater 10000'} ;

function test_basic(s)
sorted = vl_alphanum(s.strings) ;
assert(isequal(sorted,s.sortedStrings)) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_argparse.m000066400000000000000000000014331203326130700214450ustar00rootroot00000000000000function results = vl_test_argparse(varargin)
% VL_TEST_ARGPARSE
vl_test_init ;

function test_basic()
opts.field1 = 1 ;
opts.field2 = 2 ;
opts.field3 = 3 ;

opts_ = opts ;
opts_.field1 = 3 ;
opts_.field2 = 10 ;

opts = vl_argparse(opts, {'field2', 10, 'field1', 3}) ;
assert(isequal(opts, opts_)) ;

opts_.field1 = 9 ;
opts = vl_argparse(opts, {'field1', 4, 'field1', 9}) ;
assert(isequal(opts, opts_)) ;

function test_error()
opts.field1 = 1 ;
try
  opts = vl_argparse(opts, {'field2', 5}) ;
catch e
  return ;
end
assert(false) ;

function test_leftovers()
opts1.field1 = 1 ;
opts2.field2 = 1 ;
opts1_.field1 = 2 ;
opts2_.field2 = 2 ;

[opts1,args] = vl_argparse(opts1, {'field1', 2, 'field2', 2}) ;
opts2 = vl_argparse(opts2, args) ;

assert(isequal(opts1,opts1_), isequal(opts2,opts2_)) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_binsearch.m000066400000000000000000000024731203326130700216040ustar00rootroot00000000000000function results = vl_test_binsearch(varargin)
% VL_TEST_BINSEARCH
vl_test_init ;

function test_inf_bins()
x = [-inf -1 0 1 +inf] ;
vl_assert_equal(vl_binsearch([],          x), [0 0 0 0 0]) ;
vl_assert_equal(vl_binsearch([-inf 0],    x), [1 1 2 2 2]) ;
vl_assert_equal(vl_binsearch([-inf],      x), [1 1 1 1 1]) ;
vl_assert_equal(vl_binsearch([-inf +inf], x), [1 1 1 1 2]) ;

function test_empty()
vl_assert_equal(vl_binsearch([], []), []) ;

function test_bnd()
vl_assert_equal(vl_binsearch([], [1]),    [0]) ;
vl_assert_equal(vl_binsearch([], [-inf]), [0]) ;
vl_assert_equal(vl_binsearch([], [+inf]), [0]) ;

vl_assert_equal(vl_binsearch([1], [.9]),   [0]) ;
vl_assert_equal(vl_binsearch([1], [1]),    [1]) ;
vl_assert_equal(vl_binsearch([1], [-inf]), [0]) ;
vl_assert_equal(vl_binsearch([1], [+inf]), [1]) ;

function test_basic()
vl_assert_equal(vl_binsearch(-10:10, -10:10), 1:21) ;
vl_assert_equal(vl_binsearch(-10:10, -11:10), 0:21) ;
vl_assert_equal(vl_binsearch(-10:10, [-inf, -11:10, +inf]), [0 0:21 21]) ;

function test_frac()
vl_assert_equal(vl_binsearch(1:10, 1:.5:10), floor(1:.5:10))
vl_assert_equal(vl_binsearch(1:10, fliplr(1:.5:10)), ...
                fliplr(floor(1:.5:10))) ;

function test_array()
a = reshape(1:100,10,10) ;
b = reshape(1:.5:100.5, 2, []) ;
c = floor(b) ;
vl_assert_equal(vl_binsearch(a,b), c) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_binsum.m000066400000000000000000000024251203326130700211400ustar00rootroot00000000000000function results = vl_test_binsum(varargin)
% VL_TEST_BINSUM
vl_test_init ;

function test_three_args()
vl_assert_almost_equal(...
  vl_binsum([0 0], 1, 2), [0 1]) ;
vl_assert_almost_equal(...
  vl_binsum([1 7], -1, 1), [0 7]) ;
vl_assert_almost_equal(...
  vl_binsum([1 7], -1, [1 2 2 2 2 2 2 2]), [0 0]) ;

function test_four_args()
vl_assert_almost_equal(...
  vl_binsum(eye(3), [1 1 1],  [1 2 3],  1), 2*eye(3)) ;
vl_assert_almost_equal(...
  vl_binsum(eye(3), [1 1 1]', [1 2 3]', 2), 2*eye(3)) ;
vl_assert_almost_equal(...
  vl_binsum(eye(3), 1, [1 2 3], 1), 2*eye(3)) ;
vl_assert_almost_equal(...
  vl_binsum(eye(3), 1, [1 2 3]', 2), 2*eye(3)) ;

function test_3d_one()
Z = zeros(3,3,3) ;
B = 3*ones(3,1,3) ;
R = Z ; R(:,3,:) = 17 ;
vl_assert_almost_equal(...
  vl_binsum(Z, 17, B, 2), R) ;

function test_3d_two()
Z = zeros(3,3,3) ;
B = 3*ones(3,3,1) ;
X = zeros(3,3,1) ; X(:,:,1) = 17 ;
R = Z ; R(:,:,3) = 17 ;
vl_assert_almost_equal(...
  vl_binsum(Z, X, B, 3), R) ;

function test_storage_classes()
types = {@double, @single, @int64, @uint64, ...
         @int32, @uint32, @int16, @uint16, ...
         @int8, @uint8} ;
for a = types
  a = a{1} ;
  for b = types
    b = b{1} ;
    vl_assert_almost_equal(...
      vl_binsum(a(eye(3)), a([1 1 1]),  b([1 2 3]),  1), a(2*eye(3))) ;
  end
end
vlfeat-0.9.16/toolbox/xtest/vl_test_colsubset.m000066400000000000000000000014741203326130700216510ustar00rootroot00000000000000function results = vl_test_colsubset(varargin)
% VL_TEST_COLSUBSET
vl_test_init ;

function s = setup()
s.x = [5 2 3 6 4 7 1 9 8 0] ;

function test_beginning(s)
vl_assert_equal(1:5, vl_colsubset(1:10, 5, 'beginning')) ;
vl_assert_equal(1:5, vl_colsubset(1:10, .5, 'beginning')) ;

function test_ending(s)
vl_assert_equal(6:10, vl_colsubset(1:10, 5, 'ending')) ;
vl_assert_equal(6:10, vl_colsubset(1:10, .5, 'ending')) ;

function test_largest(s)
vl_assert_equal([5 6 7 9 8], vl_colsubset(s.x, 5, 'largest')) ;
vl_assert_equal([5 6 7 9 8], vl_colsubset(s.x, .5, 'largest')) ;

function test_smallest(s)
vl_assert_equal([2 3 4 1 0], vl_colsubset(s.x, 5, 'smallest')) ;
vl_assert_equal([2 3 4 1 0], vl_colsubset(s.x, .5, 'smallest')) ;

function test_random(s)
assert(numel(intersect(s.x, vl_colsubset(s.x, 5, 'random'))) == 5) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_cummax.m000066400000000000000000000013721203326130700211350ustar00rootroot00000000000000function results = vl_test_cummax(varargin)
% VL_TEST_CUMMAX
vl_test_init ;

function test_basic()
vl_assert_almost_equal(...
  vl_cummax(1), 1) ;
vl_assert_almost_equal(...
  vl_cummax([1 2 3 4], 2), [1 2 3 4]) ;

function test_multidim()
a = [1 2 3 4 3 2 1] ;
b = [1 2 3 4 4 4 4] ;
for k=1:6
  dims = ones(1,6) ;
  dims(k) = numel(a) ;
  a = reshape(a, dims) ;
  b = reshape(b, dims) ;
  vl_assert_almost_equal(...
    vl_cummax(a, k), b) ;
end

function test_storage_classes()
types = {@double, @single, @int64, @uint64, ...
         @int32, @uint32, @int16, @uint16, ...
         @int8, @uint8} ;
for a = types
  a = a{1} ;
  for b = types
    b = b{1} ;
    vl_assert_almost_equal(...
      vl_cummax(a(eye(3))), a(toeplitz([1 1 1], [1 0 0 ]))) ;
  end
end
vlfeat-0.9.16/toolbox/xtest/vl_test_dsift.m000066400000000000000000000040001203326130700207430ustar00rootroot00000000000000function results = vl_test_dsift(varargin)
% VL_TEST_DSIFT
vl_test_init ;

function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = rgb2gray(single(I)) ;

function test_fast_slow(s)
binSize     = 4 ; % bin size in pixels
magnif      = 3 ; % bin size / keypoint scale
scale       = binSize / magnif ;
windowSize  = 5 ;

[f, d] = vl_dsift(vl_imsmooth(s.I, sqrt(scale.^2 - .25)), ...
                  'size', binSize, ...
                  'step', 10, ...
                  'bounds', [20,20,210,140], ...
                  'windowsize', windowSize, ...
                  'floatdescriptors') ;

[f_, d_] = vl_dsift(vl_imsmooth(s.I, sqrt(scale.^2 - .25)), ...
                    'size', binSize, ...
                    'step', 10, ...
                    'bounds', [20,20,210,140], ...
                    'windowsize', windowSize, ...
                    'floatdescriptors', ...
                    'fast') ;

error = std(d_(:) - d(:)) / std(d(:)) ;
assert(error < 0.1,  'dsift fast approximation not close') ;

function test_sift(s)
binSize     = 4 ; % bin size in pixels
magnif      = 3 ; % bin size / keypoint scale
scale       = binSize / magnif ;

windowSizeRange = [1 1.2 5] ;
for wi = 1:length(windowSizeRange)
  windowSize = windowSizeRange(wi) ;

  [f, d] = vl_dsift(vl_imsmooth(s.I, sqrt(scale.^2 - .25)), ...
                    'size', binSize, ...
                    'step', 10, ...
                    'bounds', [20,20,210,140], ...
                    'windowsize', windowSize, ...
                    'floatdescriptors') ;

  numKeys = size(f, 2) ;
  f_ = [f ; ones(1, numKeys) * scale ; zeros(1, numKeys)] ;

  [f_, d_] = vl_sift(s.I, ...
                     'magnif', magnif, ...
                     'frames', f_, ...
                     'firstoctave', -1, ...
                     'levels', 5, ...
                     'floatdescriptors', ...
                     'windowsize', windowSize) ;

  error = std(d_(:) - d(:)) / std(d(:)) ;
  assert(error < 0.1,  'dsift and sift equivalence') ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_grad.m000066400000000000000000000006621203326130700205610ustar00rootroot00000000000000function results = vl_test_grad(varargin)
% VL_TEST_GRAD
vl_test_init ;

function s = setup()
s.I = rand(150,253) ;
s.I_small = rand(2,2) ;

function test_equiv(s)
vl_assert_equal(gradient(s.I), vl_grad(s.I)) ;

function test_equiv_small(s)
vl_assert_equal(gradient(s.I_small), vl_grad(s.I_small)) ;

function test_equiv_forward(s)
Ix = diff(s.I,2,1) ;
Iy = diff(s.I,2,1) ;

vl_assert_equal(gradient(s.I_small), vl_grad(s.I_small)) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_hikmeans.m000066400000000000000000000007171203326130700214440ustar00rootroot00000000000000function results = vl_test_hikmeans(varargin)
% VL_TEST_IKMEANS
vl_test_init ;

function s = setup()
rand('state',0) ;
s.data = uint8(rand(2,1000) * 255) ;

function test_basic(s)
[tree, assign] = vl_hikmeans(s.data,3,100) ;
assign_ = vl_hikmeanspush(tree, s.data) ;
vl_assert_equal(assign,assign_) ;

function test_elkan(s)
[tree, assign] = vl_hikmeans(s.data,3,100,'method','elkan') ;
assign_ = vl_hikmeanspush(tree, s.data) ;
vl_assert_equal(assign,assign_) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_hog.m000066400000000000000000000030231203326130700204130ustar00rootroot00000000000000function results = vl_test_hog(varargin)
% VL_TEST_HOG
vl_test_init ;

function s = setup()
s.im = im2single(vl_impattern('roofs1')) ;
[x,y]= meshgrid(linspace(-1,1,128)) ;
s.round = single(x.^2+y.^2);
s.imSmall = s.im(1:128,1:128,:) ;
s.imSmall = s.im ;
s.imSmallFlipped = s.imSmall(:,end:-1:1,:) ;

function test_basic_call(s)
cellSize = 8 ;
hog = vl_hog(s.im, cellSize) ;

function test_bilinear_orientations(s)
cellSize = 8 ;
vl_hog(s.im, cellSize, 'bilinearOrientations') ;

function test_variants_and_flipping(s)
variants = {'uoctti', 'dalaltriggs'} ;
numOrientationsRange = 3:9 ;
cellSize = 8 ;

for cellSize = [4 8 16]
  for i=1:numel(variants)
    for j=1:numel(numOrientationsRange)
      args = {'bilinearOrientations', ...
              'variant', variants{i}, ...
              'numOrientations', numOrientationsRange(j)} ;
      hog = vl_hog(s.imSmall, cellSize, args{:}) ;
      perm = vl_hog('permutation', args{:}) ;
      hog1 = vl_hog(s.imSmallFlipped, cellSize, args{:}) ;
      hog2 = hog(:,end:-1:1,perm) ;
      %norm(hog1(:)-hog2(:))
      vl_assert_almost_equal(hog1,hog2,1e-3) ;
    end
  end
end

function test_polar(s)
cellSize = 8 ;
im = s.round ;
for b = [0 1]
  if b
    args = {'bilinearOrientations'} ;
  else
    args = {} ;
  end
  hog1 = vl_hog(im, cellSize, args{:}) ;
  [ix,iy] = vl_grad(im) ;
  m = sqrt(ix.^2 + iy.^2) ;
  a = atan2(iy,ix) ;
  m(:,[1 end]) = 0 ;
  m([1 end],:) = 0 ;
  hog2 = vl_hog(cat(3,m,a), cellSize, 'DirectedPolarField', args{:}) ;
  vl_assert_almost_equal(hog1,hog2,norm(hog1(:))/1000) ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_homkermap.m000066400000000000000000000035571203326130700216350ustar00rootroot00000000000000function results = vl_test_homkermap(varargin)
% VL_TEST_HOMKERMAP
vl_test_init ;

function check_ker(ker, n, window, period)
args = {n, ker, 'window', window} ;
if nargin > 3
  args = {args{:}, 'period', period} ;
end
x = [-1 -.5 0 .5 1] ;
y = linspace(0,2,100) ;
for conv = {@single, @double}
  x = feval(conv{1}, x) ;
  y = feval(conv{1}, y) ;
  sx = sign(x) ;
  sy = sign(y) ;
  psix = vl_homkermap(x, args{:}) ;
  psiy = vl_homkermap(y, args{:}) ;
  k = vl_alldist(psix,psiy,'kl2') ;
  k_ = (sx'*sy) .* vl_alldist(sx.*x,sy.*y,ker) ;
  vl_assert_almost_equal(k, k_, 2e-2) ;
end

function test_uniform_kchi2(),     check_ker('kchi2', 3,  'uniform', 15) ;
function test_uniform_kjs(),       check_ker('kjs',   3,  'uniform', 15) ;
function test_uniform_kl1(),       check_ker('kl1',  29,  'uniform', 15) ;
function test_rect_kchi2(),        check_ker('kchi2', 3,  'rectangular', 15) ;
function test_rect_kjs(),          check_ker('kjs',   3,  'rectangular', 15) ;
function test_rect_kl1(),          check_ker('kl1',  29,  'rectangular', 10) ;
function test_auto_uniform_kchi2(),check_ker('kchi2', 3,  'uniform') ;
function test_auto_uniform_kjs(),  check_ker('kjs',   3,  'uniform') ;
function test_auto_uniform_kl1(),  check_ker('kl1',  25,  'uniform') ;
function test_auto_rect_kchi2(),   check_ker('kchi2', 3,  'rectangular') ;
function test_auto_rect_kjs(),     check_ker('kjs',   3,  'rectangular') ;
function test_auto_rect_kl1(),     check_ker('kl1',  25,  'rectangular') ;

function test_gamma()
x = linspace(0,1,20) ;
for gamma = linspace(.2,2,10)
  k = vl_alldist(x, 'kchi2') .* (x'*x + 1e-12).^((gamma-1)/2) ;
  psix = vl_homkermap(x, 3, 'kchi2', 'gamma', gamma) ;
  assert(norm(k - psix'*psix) < 1e-2) ;
end

function test_negative()
x = linspace(-1,1,20) ;
k = vl_alldist(abs(x), 'kchi2') .* (sign(x)'*sign(x)) ;
psix = vl_homkermap(x, 3, 'kchi2') ;
assert(norm(k - psix'*psix) < 1e-2) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_ihashsum.m000066400000000000000000000011051203326130700214560ustar00rootroot00000000000000function results = vl_test_ihashsum(varargin)
% VL_TEST_IHASHSUM
vl_test_init ;

function s = setup()
rand('state',0) ;
s.data = uint8(round(16*rand(2,100))) ;
sel = find(all(s.data==0)) ;
s.data(1,sel)=1 ;

function test_hash(s)
D = size(s.data,1) ;
K = 5 ;
h = zeros(1,K,'uint32') ;
id = zeros(D,K,'uint8');
next = zeros(1,K,'uint32') ;
[h,id,next] = vl_ihashsum(h,id,next,K,s.data) ;

sel = vl_ihashfind(id,next,K,s.data) ;
count = double(h(sel)) ;

[drop,i,j] = unique(s.data','rows') ;
for k=1:size(s.data,2)
  count_(k) = sum(j == j(k)) ;
end
vl_assert_equal(count,count_) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_ikmeans.m000066400000000000000000000007221203326130700212700ustar00rootroot00000000000000function results = vl_test_ikmeans(varargin)
% VL_TEST_IKMEANS
vl_test_init ;

function s = setup()
rand('state',0) ;
s.data = uint8(rand(2,1000) * 255) ;

function test_basic(s)
[centers, assign] = vl_ikmeans(s.data,100) ;
assign_ = vl_ikmeanspush(s.data, centers) ;
vl_assert_equal(assign,assign_) ;

function test_elkan(s)
[centers, assign] = vl_ikmeans(s.data,100,'method','elkan') ;
assign_ = vl_ikmeanspush(s.data, centers) ;
vl_assert_equal(assign,assign_) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_imarray.m000066400000000000000000000014331203326130700213050ustar00rootroot00000000000000function results = vl_test_imarray(varargin)
% VL_TEST_IMARRAY
vl_test_init ;

function test_movie_rgb(s)
A = rand(23,15,3,4) ;
B = vl_imarray(A,'movie',true) ;

function test_movie_indexed(s)
cmap = get(0,'DefaultFigureColormap') ;
A = uint8(size(cmap,1)*rand(23,15,4)) ;
A = min(A,size(cmap,1)-1) ;
B = vl_imarray(A,'movie',true) ;

function test_movie_gray_indexed(s)
A = uint8(255*rand(23,15,4)) ;
B = vl_imarray(A,'movie',true,'cmap',gray(256)) ;

for k=1:size(A,3)
  vl_assert_equal(squeeze(A(:,:,k)), ...
                  frame2im(B(k))) ;
end

function test_basic(s)
M = 3 ;
N = 4 ;
width = 32 ;
height = 15 ;
for i=1:M
  for j=1:N
    A{i,j} = rand(width,height) ;
  end
end
A1 = A';
A1 = cat(3,A1{:}) ;
A2 = cell2mat(A) ;
B = vl_imarray(A1, 'layout', [M N]) ;
vl_assert_equal(A2,B) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_imdisttf.m000066400000000000000000000035351203326130700214710ustar00rootroot00000000000000function results = vl_test_imdisttf(varargin)
% VL_TEST_DISTTF
vl_test_init ;

function test_basic()
for conv = {@single, @double}
  conv = conv{1} ;

  I = conv([0 0 0 ; 0 -2 0 ; 0 0 0]) ;
  D = vl_imdisttf(I);
  assert(isequal(D, conv(- [0 1 0 ; 1 2 1 ; 0 1 0]))) ;

  I(2,2) = -3 ;
  [D,map] = vl_imdisttf(I) ;
  assert(isequal(D, conv(-1 - [0 1 0 ; 1 2 1 ; 0 1 0]))) ;
  assert(isequal(map, 5 * ones(3))) ;
end

function test_1x1()
assert(isequal(1, vl_imdisttf(1))) ;

function test_rand()
I = rand(13,31) ;
for t=1:4
  param = [rand randn rand randn] ;
  [D0,map0] = imdisttf_equiv(I,param) ;
  [D,map] = vl_imdisttf(I,param) ;
  vl_assert_almost_equal(D,D0,1e-10)
  assert(isequal(map,map0)) ;
end

function test_param()
I = zeros(3,4) ;
I(1,1) = -1 ;

[D,map] = vl_imdisttf(I,[1 0 1 0]);
assert(isequal(-[1 0 0 0 ;
                 0 0 0 0 ;
                 0 0 0 0 ;], D)) ;

D0 = -[1 .9 .6 .1 ;
       0 0 0 0 ;
       0 0 0 0 ;] ;
[D,map] = vl_imdisttf(I,[.1 0 1 0]);
vl_assert_almost_equal(D,D0,1e-10);

D0 = -[1  .9 .6 .1 ;
       .9 .8 .5  0 ;
       .6 .5 .2  0 ;]  ;
[D,map] = vl_imdisttf(I,[.1 0 .1 0]);
vl_assert_almost_equal(D,D0,1e-10);

D0 = -[.9  1  .9  .6 ;
       .8 .9  .8  .5 ;
       .5 .6  .5  .2 ; ] ;
[D,map] = vl_imdisttf(I,[.1 1 .1 0]);
vl_assert_almost_equal(D,D0,1e-10);

function test_special()
I = rand(13,31) -.5 ;
D = vl_imdisttf(I, [0 0 1e5 0]) ;
vl_assert_almost_equal(D(:,1),min(I,[],2),1e-10);
D = vl_imdisttf(I, [1e5 0 0 0]) ;
vl_assert_almost_equal(D(1,:),min(I,[],1),1e-10);

function [D,map]=imdisttf_equiv(I,param)
D = inf + zeros(size(I)) ;
map = zeros(size(I)) ;
ur = 1:size(D,2) ;
vr = 1:size(D,1) ;
[u,v] = meshgrid(ur,vr) ;
for v_=vr
  for u_=ur
    E = I(v_,u_) + ...
        param(1) * (u - u_ - param(2)).^2 + ...
        param(3) * (v - v_ - param(4)).^2 ;
    map(E < D) = sub2ind(size(I),v_,u_) ;
    D = min(D,E) ;
  end
end
vlfeat-0.9.16/toolbox/xtest/vl_test_imintegral.m000066400000000000000000000026251203326130700220000ustar00rootroot00000000000000function results = vl_test_imintegral(varargin)
% VL_TEST_IMINTEGRAL
vl_test_init ;

function state = setup()
state.I = ones(5,6) ;
state.correct = [ 1     2     3     4     5     6 ;
                  2     4     6     8    10    12 ;
                  3     6     9    12    15    18 ;
                  4     8    12    16    20    24 ;
                  5    10    15    20    25    30 ; ] ;

function test_matlab_equivalent(s)
vl_assert_equal(slow_imintegral(s.I), s.correct) ;

function test_basic(s)
vl_assert_equal(vl_imintegral(s.I), s.correct) ;

function test_multi_dimensional(s)
vl_assert_equal(vl_imintegral(repmat(s.I, [1 1 3])), ...
                repmat(s.correct, [1 1 3])) ;

function test_random(s)
numTests = 50 ;
for i = 1:numTests
    I = rand(5) ;
    vl_assert_almost_equal(vl_imintegral(s.I), ...
                           slow_imintegral(s.I)) ;
end

function test_datatypes(s)
vl_assert_equal(single(vl_imintegral(s.I)), single(s.correct)) ;
vl_assert_equal(double(vl_imintegral(s.I)), double(s.correct)) ;
vl_assert_equal(uint32(vl_imintegral(s.I)), uint32(s.correct)) ;
vl_assert_equal(int32(vl_imintegral(s.I)), int32(s.correct)) ;
vl_assert_equal(int32(vl_imintegral(-s.I)), -int32(s.correct)) ;

function integral = slow_imintegral(I)
integral = zeros(size(I));
for k = 1:size(I,3)
  for r = 1:size(I,1)
    for c = 1:size(I,2)
      integral(r,c,k) = sum(sum(I(1:r,1:c,k)));
    end
  end
end
vlfeat-0.9.16/toolbox/xtest/vl_test_imsmooth.m000066400000000000000000000034551203326130700215060ustar00rootroot00000000000000function results = vl_test_imsmooth(varargin)
% VL_TEST_IMSMOOTH
vl_test_init ;

function s = setup()
I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
I = max(min(vl_imdown(I),1),0) ;
s.I = single(I) ;

function test_pad_by_continuity(s)
% Convolving a constant signal padded with continuity does not change
% the signal.
I = ones(3) ;
for ker = {'triangular', 'gaussian'}
  ker = char(ker) ;
  J  = vl_imsmooth(I, 2, ...
                   'kernel', ker, ...
                   'padding', 'continuity') ;
  vl_assert_almost_equal(J, I, 1e-4, ...
                         'padding by continutiy with kernel = %s', ker) ;
end

function test_kernels(s)
for ker = {'triangular', 'gaussian'}
  ker = char(ker) ;
  for type = {@single, @double}
    for simd = [0 1]
      for sigma = [1 2 7]
        for step = [1 2 3]
          vl_simdctrl(simd) ;
          conv = type{1} ;
          g = equivalent_kernel(ker, sigma) ;
          J  = vl_imsmooth(conv(s.I), sigma, ...
                           'kernel', ker, ...
                           'padding', 'zero', ...
                           'subsample', step) ;
          J_ = conv(convolve(s.I, g, step)) ;
          vl_assert_almost_equal(J, J_, 1e-4, ...
                                 'kernel=%s sigma=%f step=%d simd=%d', ...
                                 ker, sigma, step, simd) ;
        end
      end
    end
  end
end

function g = equivalent_kernel(ker, sigma)
switch ker
  case 'gaussian'
    W = ceil(4*sigma) ;
    g = exp(-.5*((-W:W)/(sigma+eps)).^2) ;
  case 'triangular'
    W = max(round(sigma),1) ;
    g = W - abs(-W+1:W-1) ;
end
g = g / sum(g) ;

function I = convolve(I, g, step)
if strcmp(class(I),'single')
  g = single(g) ;
else
  g = double(g) ;
end
for k=1:size(I,3)
  I(:,:,k) = conv2(g,g,I(:,:,k),'same');
end
I = I(1:step:end,1:step:end,:) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_imwbackward.m000066400000000000000000000010021203326130700221240ustar00rootroot00000000000000function results = vl_test_imwbackward(varargin)
% VL_TEST_IMWBACKWARD
vl_test_init ;

function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;

function test_identity(s)
xr = 1:size(s.I,2) ;
yr = 1:size(s.I,1) ;
[x,y] = meshgrid(xr,yr) ;
vl_assert_almost_equal(s.I, vl_imwbackward(xr,yr,s.I,x,y)) ;

function test_invalid_args(s)
xr = 1:size(s.I,2) ;
yr = 1:size(s.I,1) ;
[x,y] = meshgrid(xr,yr) ;
vl_assert_exception(@() vl_imwbackward(xr,yr,single(s.I),x,y), 'vl:invalidArgument') ;
vlfeat-0.9.16/toolbox/xtest/vl_test_init.m000066400000000000000000000051341203326130700206060ustar00rootroot00000000000000% VL_TEST_INIT  Intialize test file
%   This is a VLFeat internal function used to initialize
%   a file containing tests.
%
%   See also: VL_TEST(), VL_HELP().

% Author:: Andrea Vedaldi

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

% obtain path to caller m-file
stack = dbstack(1) ;
mfilePath = stack(1).file ;
mfileName = stack(1).name ;
fid = fopen(mfilePath, 'r') ;

% Parse source code to get subfunction names. It could use
% which('-subfun', stack(1).name) instead, but it is undocumented.

setupFunc = [] ;
teardownFunc = [] ;

tests = {} ;
l = 0 ;
t = 0 ;
while 1
  tline = fgetl(fid) ;
  l = l + 1 ;
  if ~ischar(tline), break ; end
  mo = regexp(tline, '^\s*function\s+(\w\s*=\s*)?test_(?[\w_]+)\s*\(.*\).*$', ...
              'names') ;
  if length(mo) > 0
    t = t + 1 ;
    tests{t}.name = mo(1).name ;
    tests{t}.func = str2func(['test_' mo(1).name]) ;
    tests{t}.lineNumber = l ;
  end

  mo = regexp(tline, '^\s*function\s+(\w+\s*=\s*)?(?setup|teardown)\s*\(.*\).*$', ...
              'names') ;
  if length(mo) > 0
    switch mo(1).name
      case 'setup'
        if isempty(setupFunc)
          setupFunc = @setup ;
        else
          warning('%s:%d: ignoring redundant definition of the setup function', ...
                  mfilePath) ;
        end
      case 'teardown'
        if isempty(teardownFunc)
          teardownFunc = @teardown ;
        else
          warning('%s:%d: ignoring redundant definition of the setup function', ...
                  mfilePath) ;
        end
      otherwise
        assert(0) ;
    end
  end
end

if ~isempty(setupFunc), state = setupFunc() ; end

if length(varargin) > 0
  testFunc = str2func(sprintf('test_%s', varargin{1})) ;
  if exist('state','var')
    testFunc(state) ;
  else
    testFunc() ;
  end
  if ~isempty(teardownFunc), teardownFunc(state) ; end
  return ;
end

% Run all tests collecting the results.
if length(tests) == 0
  error('No tests found in ''%s''', mfileName)  ;
end

for t = 1:length(tests)
  subTestName = sprintf('test_%s', tests{t}.name) ;
  results{t}.testName = sprintf('%s:%s', mfileName(9:end), tests{t}.name) ;
  results{t}.succeded = true ;
  results{t}.exception = [] ;
  try
    if exist('state', 'var')
      tests{t}.func(state) ;
    else
      tests{t}.func() ;
    end
  catch exception
    results{t}.succeded = false ;
    results{t}.exception = exception ;
  end
end

if ~isempty(teardownFunc), teardownFunc(state) ; end

results = cat(2, results{:}) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_inthist.m000066400000000000000000000014531203326130700213250ustar00rootroot00000000000000function results = vl_test_inthist(varargin)
% VL_TEST_INTHIST
vl_test_init ;

function s = setup()
rand('state',0) ;
s.labels = uint32(8*rand(123, 76, 3)) ;

function test_basic(s)
l = 10 ;
hist = vl_inthist(s.labels, 'numlabels', l) ;
hist_ = inthist_slow(s.labels, l) ;
vl_assert_equal(double(hist),hist_) ;

function test_sample(s)
rand('state',0) ;
boxes = 10 * rand(4,20) + .5 ;
boxes(3:4,:) = boxes(3:4,:) + boxes(1:2,:) ;
boxes = min(boxes, 10) ;
boxes = uint32(boxes) ;
inthist = vl_inthist(s.labels) ;
hist = vl_sampleinthist(inthist, boxes) ;

function hist = inthist_slow(labels, numLabels)
m = size(labels,1) ;
n = size(labels,2) ;
l = numLabels ;
b = zeros(m*n,l) ;
b = vl_binsum(b, 1, reshape(labels,m*n,[]), 2) ;
b = reshape(b,m,n,l) ;
for k=1:l
  hist(:,:,k) = cumsum(cumsum(b(:,:,k)')') ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_kdtree.m000066400000000000000000000046201203326130700211200ustar00rootroot00000000000000function results = vl_test_kdtree(varargin)
% VL_TEST_KDTREE
vl_test_init ;

function s = setup()
randn('state',0) ;
s.X = single(randn(10, 1000)) ;
s.Q = single(randn(10, 10)) ;

function test_nearest(s)
for tmethod = {'median', 'mean'}
  for type = {@single, @double}
    conv = type{1} ;
    tmethod = char(tmethod) ;

    X = conv(s.X) ;
    Q = conv(s.Q) ;
    tree = vl_kdtreebuild(X,'ThresholdMethod', tmethod) ;
    [nn, d2] = vl_kdtreequery(tree, X,Q) ;

    D2 = vl_alldist2(X, Q, 'l2') ;
    [d2_, nn_] = min(D2) ;

    vl_assert_equal(...
      nn,uint32(nn_),...
      'incorrect nns: type=%s th. method=%s', func2str(conv), tmethod) ;
    vl_assert_almost_equal(...
      d2,d2_,...
      'incorrect distances: type=%s th. method=%s', func2str(conv), tmethod) ;
  end
end

function test_nearests(s)
numNeighbors = 7 ;
tree = vl_kdtreebuild(s.X) ;
[nn, d2] = vl_kdtreequery(tree, s.X, s.Q, ...
                          'numNeighbors', numNeighbors) ;

D2 = vl_alldist2(s.X, s.Q, 'l2') ;
[d2_, nn_] = sort(D2) ;
d2_ = d2_(1:numNeighbors, :) ;
nn_ = nn_(1:numNeighbors, :) ;

vl_assert_equal(nn,uint32(nn_)) ;
vl_assert_almost_equal(d2,d2_) ;

function test_ann(s)
vl_twister('state', 1) ;
numNeighbors = 7 ;
maxComparisons = numNeighbors * 50 ;
tree = vl_kdtreebuild(s.X) ;
[nn, d2] = vl_kdtreequery(tree, s.X, s.Q, ...
                          'numNeighbors', numNeighbors, ...
                          'maxComparisons', maxComparisons) ;

D2 = vl_alldist2(s.X, s.Q, 'l2') ;
[d2_, nn_] = sort(D2) ;
d2_ = d2_(1:numNeighbors, :) ;
nn_ = nn_(1:numNeighbors, :) ;

for i=1:size(s.Q,2)
  overlap = numel(intersect(nn(:,i), nn_(:,i))) / ...
            numel(union(nn(:,i), nn_(:,i))) ;
  assert(overlap > 0.6, 'ANN did not return enough correct nearest neighbors') ;
end

function test_ann_forest(s)
vl_twister('state', 1) ;
numNeighbors = 7 ;
maxComparisons = numNeighbors * 25 ;
numTrees = 5 ;
tree = vl_kdtreebuild(s.X, 'numTrees', 5) ;
[nn, d2] = vl_kdtreequery(tree, s.X, s.Q, ...
                          'numNeighbors', numNeighbors, ...
                          'maxComparisons', maxComparisons) ;

D2 = vl_alldist2(s.X, s.Q, 'l2') ;
[d2_, nn_] = sort(D2) ;
d2_ = d2_(1:numNeighbors, :) ;
nn_ = nn_(1:numNeighbors, :) ;

for i=1:size(s.Q,2)
  overlap = numel(intersect(nn(:,i), nn_(:,i))) / ...
            numel(union(nn(:,i), nn_(:,i))) ;
  assert(overlap > 0.6, 'ANN did not return enough correct nearest neighbors') ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_kmeans.m000066400000000000000000000053441203326130700211240ustar00rootroot00000000000000function results = vl_test_kmeans(varargin)
% VL_TEST_KMEANS

% Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
% All rights reserved.
%
% This file is part of the VLFeat library and is made available under
% the terms of the BSD license (see the COPYING file).

vl_test_init ;

function s = setup()
randn('state',0) ;
s.X = randn(128, 100) ;

function test_basic(s)
[centers, assignments, en] = vl_kmeans(s.X, 10, 'NumRepetitions', 10) ;
[centers_, assignments_, en_] = simpleKMeans(s.X, 10) ;
assert(en_ <= 1.1 * en, 'vl_kmeans did not optimize enough') ;

function test_algorithms(s)
distances = {'l1', 'l2'} ;
dataTypes = {'single','double'} ;

for dataType = dataTypes
  for distance = distances
    distance = char(distance) ;
    conversion = str2func(char(dataType)) ;
    X = conversion(s.X) ;
    vl_twister('state',0) ;
    [centers, assignments, en] = vl_kmeans(X, 10, ...
                                           'NumRepetitions', 1, ...
                                           'MaxNumIterations', 10, ...
                                           'Algorithm', 'Lloyd', ...
                                           'Distance', distance) ;
    vl_twister('state',0) ;
    [centers_, assignments_, en_] = vl_kmeans(X, 10, ...
                                              'NumRepetitions', 1, ...
                                              'MaxNumIterations', 10, ...
                                              'Algorithm', 'Elkan', ...
                                              'Distance', distance) ;
    vl_assert_almost_equal(centers, centers_, 1e-5) ;
    vl_assert_almost_equal(assignments, assignments_, 1e-5) ;
    vl_assert_almost_equal(en, en_, 1e-5) ;
  end
end

function test_patterns(s)
distances = {'l1', 'l2'} ;
dataTypes = {'single','double'} ;
for dataType = dataTypes
  for distance = distances
    distance = char(distance) ;
    conversion = str2func(char(dataType)) ;
    data = [1 1 0 0 ;
            1 0 1 0] ;
    data = conversion(data) ;
    [centers, assignments, en] = vl_kmeans(data, 4, ...
                                           'NumRepetitions', 100, ...
                                           'Distance', distance) ;
    assert(isempty(setdiff(data', centers', 'rows'))) ;
  end
end

function [centers, assignments, en] = simpleKMeans(X, numCenters)
[dimension, numData] = size(X) ;
centers = randn(dimension, numCenters) ;

for iter = 1:10
  [dists, assignments] = min(vl_alldist(centers, X)) ;
  en = sum(dists) ;
  centers = [zeros(dimension, numCenters) ; ones(1, numCenters)] ;
  centers = vl_binsum(centers, ...
                      [X ; ones(1,numData)], ...
                      repmat(assignments, dimension+1, 1), 2) ;
  centers = centers(1:end-1, :) ./ repmat(centers(end,:), dimension, 1) ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_lbp.m000066400000000000000000000020401203326130700204110ustar00rootroot00000000000000function results = vl_test_lbp(varargin)
% VL_TEST_TWISTER
vl_test_init ;

function test_one_on()
I = {} ;
I{1} = [0 0 0 ; 0 0 1 ; 0 0 0] ;
I{2} = [0 0 0 ; 0 0 0 ; 0 0 1] ;
I{3} = [0 0 0 ; 0 0 0 ; 0 1 0] ;
I{4} = [0 0 0 ; 0 0 0 ; 1 0 0] ;
I{5} = [0 0 0 ; 1 0 0 ; 0 0 0] ;
I{6} = [1 0 0 ; 0 0 0 ; 0 0 0] ;
I{7} = [0 1 0 ; 0 0 0 ; 0 0 0] ;
I{8} = [0 0 1 ; 0 0 0 ; 0 0 0] ;

for j=0:7
  h = vl_lbp(single(I{j+1}), 3) ;
  h = find(squeeze(h)) ;
  vl_assert_equal(h, j * 7 + 1) ;
end

function test_two_on()
I = {} ;
I{1} = [0 0 0 ; 0 0 1 ; 0 0 1] ;
I{2} = [0 0 0 ; 0 0 0 ; 0 1 1] ;
I{3} = [0 0 0 ; 0 0 0 ; 1 1 0] ;
I{4} = [0 0 0 ; 1 0 0 ; 1 0 0] ;
I{5} = [1 0 0 ; 1 0 0 ; 0 0 0] ;
I{6} = [1 1 0 ; 0 0 0 ; 0 0 0] ;
I{7} = [0 1 1 ; 0 0 0 ; 0 0 0] ;
I{8} = [0 0 1 ; 0 0 1 ; 0 0 0] ;

for j=0:7
  h = vl_lbp(single(I{j+1}), 3) ;
  h = find(squeeze(h)) ;
  vl_assert_equal(h, j * 7 + 2) ;
end

function test_fliplr()
randn('state',0) ;
I = randn(256,256,1,'single') ;
f = vl_lbp(fliplr(I), 8) ;
f_ = vl_lbpfliplr(vl_lbp(I, 8)) ;
vl_assert_almost_equal(f,f_,1e-3) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_maketrainingset.m000066400000000000000000000017661203326130700230370ustar00rootroot00000000000000function results = vl_test_maketrainingset(varargin)
% VL_TEST_KDTREE
vl_test_init ;

function s = setup()
randn('state',0) ;

s.biasMultiplier = 10 ;
s.lambda = 0.01 ;

Np = 10 ;
Nn = 10 ;
Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2 + 1 ;
Xn(1,:) = Xn(1,:) - 2 + 1 ;

s.X = [Xp Xn] ;
s.y = [ones(1,Np) -ones(1,Nn)] ;


function test_plain_trainingset(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;
  tset = vl_maketrainingset(conv(s.X),int8(s.y)) ;
  vl_assert_almost_equal(tset.data, conv(s.X), 0.1) ;
  vl_assert_almost_equal(tset.labels, int8(s.y), 0.1) ;
end


function test_homkermap(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;
  tset = vl_maketrainingset(conv(s.X),int8(s.y),'homkermap',1, ...
                            'kchi2', 'gamma', .5) ;
  
  vl_assert_almost_equal(tset.data, conv(s.X), 0.1) ;
  vl_assert_almost_equal(tset.labels, int8(s.y), 0.1) ;
  vl_assert_equal(tset.map.order, 1) ;
end
vlfeat-0.9.16/toolbox/xtest/vl_test_mser.m000066400000000000000000000003621203326130700206070ustar00rootroot00000000000000function results = vl_test_mser(varargin)
% VL_TEST_MSER
vl_test_init ;

function s = setup()
s.im = im2uint8(rgb2gray(vl_impattern('roofs1'))) ;

function test_mser(s)
[regions,frames] = vl_mser(s.im) ;
mask = vl_erfill(s.im, regions(1)) ;

vlfeat-0.9.16/toolbox/xtest/vl_test_pegasos.m000066400000000000000000000124641203326130700213100ustar00rootroot00000000000000function results = vl_test_pegasos(varargin)
% VL_TEST_KDTREE
vl_test_init ;

function s = setup()
randn('state',0) ;

s.biasMultiplier = 10 ;
s.lambda = 0.01 ;

Np = 10 ;
Nn = 10 ;
Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2 + 1 ;
Xn(1,:) = Xn(1,:) - 2 + 1 ;

s.X = [Xp Xn] ;
s.y = [ones(1,Np) -ones(1,Nn)] ;
%s.w = exact_solver(s.X, s.y, s.lambda, s.biasMultiplier)
s.w = [1.181106685845652 ;
       0.098478251033487 ;
       -0.154057992404545 ] ;

function test_problem_1(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;
  [w b info] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                 'MaxIterations', 100000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'BiasLearningRate', .1) ;
  
  % test input
  vl_assert_equal(info.biasMultiplier,s.biasMultiplier); 
  vl_assert_almost_equal(info.biasLearningRate,.1,1e-3); 
  vl_assert_almost_equal(conv([w; b]), conv(s.w), 0.1) ;
end

function test_continue_training(s)
for conv = {@single,@double}
  conv = conv{1} ;

  vl_twister('state',0) ;
  [w b] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                 'MaxIterations', 3000, ...
                 'BiasMultiplier', s.biasMultiplier) ;

  vl_twister('state',0) ;
  [w1 b1] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                 'StartingIteration', 1, ...
                 'MaxIterations', 1500, ...
                  'BiasMultiplier', s.biasMultiplier) ;
  [w2 b2] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                  'StartingIteration', 1501, ...
                  'StartingModel', w1, ...
                  'StartingBias', b1, ...
                  'MaxIterations', 3000, ...
                  'BiasMultiplier', s.biasMultiplier) ;
  vl_assert_almost_equal([w; b],[w2; b2],1e-7) ;
end

function test_continue_training_with_perm(s)
perm = uint32(randperm(size(s.X,2))) ;
for conv = {@single,@double}
  conv = conv{1} ;

  vl_twister('state',0) ;
  [w b] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                 'MaxIterations', 3000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'Permutation', perm) ;

  vl_twister('state',0) ;
  [w1 b1] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                 'StartingIteration', 1, ...
                 'MaxIterations', 1500, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                  'Permutation', perm) ;
  [w2 b2] = vl_pegasos(conv(s.X), int8(s.y), s.lambda, ...
                  'StartingIteration', 1501, ...
                  'StartingModel', w1, ...
                  'StartingBias', b1, ...
                  'MaxIterations', 3000, ...
                  'BiasMultiplier', s.biasMultiplier, ...
                  'Permutation', perm) ;

  vl_assert_almost_equal([w; b],[w2; b2],1e-7) ;
end


function test_homkermap(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;
  sxe = vl_homkermap(conv(s.X), 1, 'kchi2', 'gamma', .5) ;
  [we be] = vl_pegasos(sxe, int8(s.y), s.lambda, ...
                 'MaxIterations', 100000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'BiasLearningRate', .1) ;
  vl_twister('state',0) ;
  [w b] = vl_pegasos(s.X, int8(s.y), s.lambda, ...
                 'MaxIterations', 100000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'BiasLearningRate', .1,...
                 'homkermap',1,...
                 'gamma',.5,...
                 'kchi2') ;

  vl_assert_almost_equal([w; b],[we; be], 1e-7) ;
end

function test_diagnostic(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;

  x = 0;
  dhandle = @(x,stat) (assert(stat.elapsedTime == 0 || stat.elapsedTime ~= 0)) ;

  [w b] = vl_pegasos(s.X, int8(s.y), s.lambda, ...
                        'MaxIterations', 100000, ...
                        'BiasMultiplier', s.biasMultiplier, ...
                        'BiasLearningRate', .1) ;
  vl_twister('state',0) ;
  [wd bd] = vl_pegasos(s.X, int8(s.y), s.lambda, ...
                          'MaxIterations', 100000, ...
                          'BiasMultiplier', s.biasMultiplier, ...
                          'BiasLearningRate', .1,...
                          'DiagnosticFunction',dhandle,...
                          'DiagnosticCallRef',x) ;

  vl_assert_almost_equal([w; b], [wd; bd], 1e-7) ;
end

function test_epsilon(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;

  [w b info] = vl_pegasos(s.X, int8(s.y), s.lambda, ...
                        'MaxIterations', 1000000, ...
                        'BiasMultiplier', s.biasMultiplier, ...
                        'BiasLearningRate', .1) ;
  vl_twister('state',0) ;
  [we be infoe] = vl_pegasos(s.X, int8(s.y), s.lambda, ...
                          'MaxIterations', 1000000, ...
                          'Epsilon',1e-7,...
                          'BiasMultiplier', s.biasMultiplier, ...
                          'BiasLearningRate', .1) ;

  vl_assert_almost_equal([w; b], [we; be], 1e-2) ;
  assert(info.iterations > infoe.iterations);
end

function w = exact_solver(X, y, lambda, biasMultiplier)
N = size(X,2) ;
model = svmtrain(y', [(1:N)' X'*X], sprintf(' -c %f -t 4 ', 1/(lambda*N))) ;
w = X(:,model.SVs) * model.sv_coef ;
w(3) = - model.rho / biasMultiplier ;
format long ;
disp('model w:')
disp(w)
vlfeat-0.9.16/toolbox/xtest/vl_test_phow.m000066400000000000000000000010451203326130700206150ustar00rootroot00000000000000function results = vl_test_phow(varargin)
% VL_TEST_PHOPW
vl_test_init ;

function s = setup()
s.I = im2double(imread(fullfile(vl_root,'data','spots.jpg'))) ;
s.I = single(s.I) ;

function test_gray(s)
[f,d] = vl_phow(s.I, 'color', 'gray') ;
assert(size(d,1) == 128) ;

function test_rgb(s)
[f,d] = vl_phow(s.I, 'color', 'rgb') ;
assert(size(d,1) == 128*3) ;

function test_hsv(s)
[f,d] = vl_phow(s.I, 'color', 'hsv') ;
assert(size(d,1) == 128*3) ;

function test_opponent(s)
[f,d] = vl_phow(s.I, 'color', 'opponent') ;
assert(size(d,1) == 128*3) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_pr.m000066400000000000000000000056061203326130700202700ustar00rootroot00000000000000function results = vl_test_pr(varargin)
% VL_TEST_PR
vl_test_init ;

function s = setup()
s.scores0 = [5 4 3 2 1] ;
s.scores1 = [5 3 4 2 1] ;
s.labels = [1 1 -1 -1 -1] ;

function test_perfect_tptn(s)
[rc,pr] = vl_pr(s.labels,s.scores0) ;
vl_assert_almost_equal(pr, [1 1/1 2/2 2/3 2/4 2/5]) ;
vl_assert_almost_equal(rc, [0 1 2 2 2 2] / 2) ;

function test_perfect_metrics(s)
[rc,pr,info] = vl_pr(s.labels,s.scores0) ;
vl_assert_almost_equal(info.auc, 1) ;
vl_assert_almost_equal(info.ap, 1) ;
vl_assert_almost_equal(info.ap_interp_11, 1) ;

function test_swap1_tptn(s)
[rc,pr] = vl_pr(s.labels,s.scores1) ;
vl_assert_almost_equal(pr, [1 1/1 1/2 2/3 2/4 2/5]) ;
vl_assert_almost_equal(rc, [0 1 1 2 2 2] / 2) ;

function test_swap1_tptn_stable(s)
[rc,pr] = vl_pr(s.labels,s.scores1,'stable',true) ;
vl_assert_almost_equal(pr, [1/1 2/3 1/2 2/4 2/5]) ;
vl_assert_almost_equal(rc, [1 2 1 2 2] / 2) ;

function test_swap1_metrics(s)
[rc,pr,info] = vl_pr(s.labels,s.scores1) ;
clf; vl_pr(s.labels,s.scores1) ;
vl_assert_almost_equal(info.auc, [.5 + .5 * (.5 + 2/3)/2]) ;
vl_assert_almost_equal(info.ap, [1/1 + 2/3]/2) ;
vl_assert_almost_equal(info.ap_interp_11, mean([1 1 1 1 1 1 2/3 2/3 2/3 2/3 2/3])) ;

function test_inf(s)
scores = [1 -inf -1 -1 -1 -1] ;
labels = [1 1    -1 -1 -1 -1] ;
[rc1,pr1,info1] = vl_pr(labels, scores, 'includeInf', true) ;
[rc2,pr2,info2] = vl_pr(labels, scores, 'includeInf', false) ;

vl_assert_equal(numel(rc1), numel(rc2) + 1) ;

vl_assert_almost_equal(info1.auc, [1 * .5 + (1/5 + 2/6)/2 * .5]) ;
vl_assert_almost_equal(info1.ap,  [1 * .5 + 2/6 * .5]) ;
vl_assert_almost_equal(info1.ap_interp_11, [1 * 6/11 + 2/6 * 5/11]) ;

vl_assert_almost_equal(info2.auc, 0.5) ;
vl_assert_almost_equal(info2.ap,  0.5) ;
vl_assert_almost_equal(info2.ap_interp_11, 1 * 6 / 11) ;

function test_inf_stable(s)
scores = [-1 -1 -1 -1 -inf +1] ;
labels = [-1 -1 -1 -1 +1   +1] ;
[rc1,pr1,info1] = vl_pr(labels, scores, 'includeInf', true, 'stable', true) ;
[rc2,pr2,info2] = vl_pr(labels, scores, 'includeInf', false, 'stable', true) ;
[rc1_,pr1_,info1_] = vl_pr(labels, scores, 'includeInf', true, 'stable', false) ;
[rc2_,pr2_,info2_] = vl_pr(labels, scores, 'includeInf', false, 'stable', false) ;

% stability does not change scores
vl_assert_almost_equal(info1,info1_) ;
vl_assert_almost_equal(info2,info2_) ;

% unstable with inf (first point (0,1) is conventional)
vl_assert_almost_equal(rc1_, [0 .5 .5 .5 .5 .5 1])
vl_assert_almost_equal(pr1_, [1  1  1/2 1/3 1/4 1/5 2/6])

% unstable without inf
vl_assert_almost_equal(rc2_, [0 .5 .5 .5 .5 .5])
vl_assert_almost_equal(pr2_, [1  1  1/2 1/3 1/4 1/5])

% stable with inf (no conventional point here)
vl_assert_almost_equal(rc1, [.5  .5  .5  .5  1   .5]) ;
vl_assert_almost_equal(pr1, [1/2 1/3 1/4 1/5 2/6  1]) ;

% stable without inf (no conventional point and -inf are NaN)
vl_assert_almost_equal(rc2, [.5  .5  .5  .5  NaN .5]) ;
vl_assert_almost_equal(pr2, [1/2 1/3 1/4 1/5 NaN  1]) ;
vlfeat-0.9.16/toolbox/xtest/vl_test_roc.m000066400000000000000000000017731203326130700204330ustar00rootroot00000000000000function results = vl_test_roc(varargin)
% VL_TEST_ROC
vl_test_init ;

function s = setup()
s.scores0 = [5 4 3 2 1] ;
s.scores1 = [5 3 4 2 1] ;
s.labels = [1 1 -1 -1 -1] ;

function test_perfect_tptn(s)
[tpr,tnr] = vl_roc(s.labels,s.scores0) ;
vl_assert_almost_equal(tpr, [0 1 2 2 2 2] / 2) ;
vl_assert_almost_equal(tnr, [3 3 3 2 1 0] / 3) ;

function test_perfect_metrics(s)
[tpr,tnr,info] = vl_roc(s.labels,s.scores0) ;
vl_assert_almost_equal(info.eer, 0) ;
vl_assert_almost_equal(info.auc, 1) ;

function test_swap1_tptn(s)
[tpr,tnr] = vl_roc(s.labels,s.scores1) ;
vl_assert_almost_equal(tpr, [0 1 1 2 2 2] / 2) ;
vl_assert_almost_equal(tnr, [3 3 2 2 1 0] / 3) ;

function test_swap1_tptn_stable(s)
[tpr,tnr] = vl_roc(s.labels,s.scores1,'stable',true) ;
vl_assert_almost_equal(tpr, [1 2 1 2 2] / 2) ;
vl_assert_almost_equal(tnr, [3 2 2 1 0] / 3) ;

function test_swap1_metrics(s)
[tpr,tnr,info] = vl_roc(s.labels,s.scores1) ;
vl_assert_almost_equal(info.eer, 1/3) ;
vl_assert_almost_equal(info.auc, 1 - 1/(2*3)) ;


vlfeat-0.9.16/toolbox/xtest/vl_test_sift.m000066400000000000000000000024461203326130700206130ustar00rootroot00000000000000function results = vl_test_sift(varargin)
% VL_TEST_SIFT
vl_test_init ;

function s = setup()
s.I = im2single(imread(fullfile(vl_root,'data','box.pgm'))) ;
[s.ubc.f, s.ubc.d] = ...
    vl_ubcread(fullfile(vl_root,'data','box.sift')) ;

function test_ubc_descriptor(s)
err = [] ;
[f, d] = vl_sift(s.I,...
                 'firstoctave', -1, ...
                 'frames', s.ubc.f) ;
D2 = vl_alldist(f, s.ubc.f) ;
[drop, perm] = min(D2) ;
f = f(:,perm) ;
d = d(:,perm) ;
error = mean(sqrt(sum((single(s.ubc.d) - single(d)).^2))) ...
        / mean(sqrt(sum(single(s.ubc.d).^2))) ;
assert(error < 0.1, ...
       'sift descriptor did not produce desctiptors similar to UBC ones') ;

function test_ubc_detector(s)
[f, d] = vl_sift(s.I,...
                 'firstoctave', -1, ...
                 'peakthresh', .01, ...
                 'edgethresh', 10) ;

s.ubc.f(4,:) = mod(s.ubc.f(4,:), 2*pi) ;
f(4,:) = mod(f(4,:), 2*pi) ;

% scale the components so that 1 pixel erro in x,y,z is equal to a
% 10-th of angle.
S = diag([1 1 1 20/pi]);
D2 = vl_alldist(S * s.ubc.f, S * f) ;
[d2,perm] = sort(min(D2)) ;
error = sqrt(d2) ;
quant80 = round(.8 * size(f,2)) ;

% check for less than one pixel error at 80% quantile
assert(error(quant80) < 1, ...
       'sift detector did not produce enough keypoints similar to UBC ones') ;
vlfeat-0.9.16/toolbox/xtest/vl_test_slic.m000066400000000000000000000003231203326130700205700ustar00rootroot00000000000000function results = vl_test_slic(varargin)
% VL_TEST_SLIC
vl_test_init ;

function s = setup()
s.im = im2single(vl_impattern('roofs1')) ;

function test_slic(s)
segmentation = vl_slic(s.im, 10, 0.1, 'verbose') ;
vlfeat-0.9.16/toolbox/xtest/vl_test_svmpegasos.m000066400000000000000000000132521203326130700220320ustar00rootroot00000000000000function results = vl_test_svmpegasos(varargin)
% VL_TEST_KDTREE
vl_test_init ;

function s = setup()
randn('state',0) ;

s.biasMultiplier = 10 ;
s.lambda = 0.01 ;

Np = 10 ;
Nn = 10 ;
Xp = diag([1 3])*randn(2, Np) ;
Xn = diag([1 3])*randn(2, Nn) ;
Xp(1,:) = Xp(1,:) + 2 + 1 ;
Xn(1,:) = Xn(1,:) - 2 + 1 ;

s.X = [Xp Xn] ;
s.y = [ones(1,Np) -ones(1,Nn)] ;
%s.w = exact_solver(s.X, s.y, s.lambda, s.biasMultiplier)
s.w = [1.181106685845652 ;
       0.098478251033487 ;
       -0.154057992404545 ] ;

function test_problem_1(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;
  dataset = vl_maketrainingset(conv(s.X), int8(s.y)) ;
  [w b info] = vl_svmpegasos(dataset, s.lambda, ...
                 'MaxIterations', 100000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'BiasLearningRate', .1) ;
  
  % test input
  vl_assert_equal(info.biasMultiplier,s.biasMultiplier); 
  vl_assert_almost_equal(info.biasLearningRate,.1,1e-3); 
  vl_assert_almost_equal(conv([w; b]), conv(s.w), 0.1) ;
end

function test_continue_training(s)
for conv = {@single,@double}
  conv = conv{1} ;

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(conv(s.X), int8(s.y)) ;
  [w b] = vl_svmpegasos(dataset, s.lambda, ...
                 'MaxIterations', 3000, ...
                 'BiasMultiplier', s.biasMultiplier) ;

  vl_twister('state',0) ;
  [w1 b1] = vl_svmpegasos(dataset, s.lambda, ...
                 'StartingIteration', 1, ...
                 'MaxIterations', 1500, ...
                  'BiasMultiplier', s.biasMultiplier) ;
  [w2 b2] = vl_svmpegasos(dataset, s.lambda, ...
                  'StartingIteration', 1501, ...
                  'StartingModel', w1, ...
                  'StartingBias', b1, ...
                  'MaxIterations', 3000, ...
                  'BiasMultiplier', s.biasMultiplier) ;
  vl_assert_almost_equal([w; b],[w2; b2],1e-7) ;
end

function test_continue_training_with_perm(s)
perm = uint32(randperm(size(s.X,2))) ;
for conv = {@single,@double}
  conv = conv{1} ;

  vl_twister('state',0) ;
  dataset = vl_maketrainingset(conv(s.X), int8(s.y)) ;
  [w b] = vl_svmpegasos(dataset, s.lambda, ...
                 'MaxIterations', 3000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'Permutation', perm) ;

  vl_twister('state',0) ;
  [w1 b1] = vl_svmpegasos(dataset, s.lambda, ...
                 'StartingIteration', 1, ...
                 'MaxIterations', 1500, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                  'Permutation', perm) ;
  [w2 b2] = vl_svmpegasos(dataset, s.lambda, ...
                  'StartingIteration', 1501, ...
                  'StartingModel', w1, ...
                  'StartingBias', b1, ...
                  'MaxIterations', 3000, ...
                  'BiasMultiplier', s.biasMultiplier, ...
                  'Permutation', perm) ;

  vl_assert_almost_equal([w; b],[w2; b2],1e-7) ;
end


function test_homkermap(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;
  sxe = vl_homkermap(conv(s.X), 1, 'kchi2', 'gamma', .5) ;
  dataset = vl_maketrainingset(conv(s.X), int8(s.y),...
                               'homkermap',1,...
                               'gamma',.5,...
                               'kchi2') ;
  [we be] = vl_svmpegasos(dataset, s.lambda, ...
                 'MaxIterations', 100000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'BiasLearningRate', .1) ;
  vl_twister('state',0) ;
  [w b] = vl_pegasos(s.X, int8(s.y), s.lambda, ...
                 'MaxIterations', 100000, ...
                 'BiasMultiplier', s.biasMultiplier, ...
                 'BiasLearningRate', .1,...
                 'homkermap',1,...
                 'gamma',.5,...
                 'kchi2') ;

  vl_assert_almost_equal([w; b],[we; be], 1e-7) ;
end

function test_diagnostic(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;

  x = [];
  dhandle = @(stat,x) ([x stat.energy]) ;
  
  dataset = vl_maketrainingset(conv(s.X), int8(s.y)) ;
  [w b] = vl_svmpegasos(dataset, s.lambda, ...
                        'MaxIterations', 100000, ...
                        'BiasMultiplier', s.biasMultiplier, ...
                        'BiasLearningRate', .1) ;
  vl_twister('state',0) ;
  [wd bd info] = vl_svmpegasos(dataset, s.lambda, ...
                               'MaxIterations', 100000, ...
                               'BiasMultiplier', s.biasMultiplier, ...
                               'BiasLearningRate', .1,...
                               'DiagnosticFunction',dhandle,...
                               'DiagnosticCallRef',x) ;

  vl_assert_almost_equal([w; b], [wd; bd], 1e-7) ;
end

function test_epsilon(s)
for conv = {@single,@double}
  vl_twister('state',0) ;
  conv = conv{1} ;

  dataset = vl_maketrainingset(conv(s.X), int8(s.y)) ;
  [w b info] = vl_svmpegasos(dataset, s.lambda, ...
                        'MaxIterations', 1000000, ...
                        'BiasMultiplier', s.biasMultiplier, ...
                        'BiasLearningRate', .1) ;
  vl_twister('state',0) ;
  [we be infoe] = vl_svmpegasos(dataset, s.lambda, ...
                          'MaxIterations', 1000000, ...
                          'Epsilon',1e-7,...
                          'BiasMultiplier', s.biasMultiplier, ...
                          'BiasLearningRate', .1) ;
  vl_assert_almost_equal([w; b], [we; be], 1e-2) ;
  assert(info.iterations > infoe.iterations);
end

function w = exact_solver(X, y, lambda, biasMultiplier)
N = size(X,2) ;
model = svmtrain(y', [(1:N)' X'*X], sprintf(' -c %f -t 4 ', 1/(lambda*N))) ;
w = X(:,model.SVs) * model.sv_coef ;
w(3) = - model.rho / biasMultiplier ;
format long ;
disp('model w:')
disp(w)
vlfeat-0.9.16/toolbox/xtest/vl_test_twister.m000066400000000000000000000022121203326130700213360ustar00rootroot00000000000000function results = vl_test_twister(varargin)
% VL_TEST_TWISTER
vl_test_init ;

function test_illegal_args()
vl_assert_exception(@() vl_twister(-1), 'vl:invalidArgument') ;
vl_assert_exception(@() vl_twister(1, -1), 'vl:invalidArgument') ;
vl_assert_exception(@() vl_twister([1, -1]), 'vl:invalidArgument') ;

function test_seed_by_scalar()
rand('twister',1) ; a = rand ;
vl_twister('state',1) ; b = vl_twister ;
vl_assert_equal(a,b,'seed by scalar + VL_TWISTER()') ;

function test_get_set_state()
rand('twister',1) ; a = rand('twister') ;
vl_twister('state',1) ; b = vl_twister('state') ;
vl_assert_equal(a,b,'read state') ;

a(1) = a(1) + 1 ;
vl_twister('state',a) ; b = vl_twister('state') ;
vl_assert_equal(a,b,'set state') ;

function test_multi_dimensions()
b = rand('twister') ;
rand('twister',b) ;
vl_twister('state',b) ;
a=rand([1 2 3 4 5]) ;
b=vl_twister([1 2 3 4 5]) ;
vl_assert_equal(a,b,'VL_TWISTER([M N P ...])') ;

function test_multi_multi_args()
a=rand(1, 2, 3, 4, 5) ;
b=vl_twister(1, 2, 3, 4, 5) ;
vl_assert_equal(a,b,'VL_TWISTER(M, N, P, ...)') ;

function test_square()
a=rand(10) ;
b=vl_twister(10) ;
vl_assert_equal(a,b,'VL_TWISTER(N)') ;
vlfeat-0.9.16/toolbox/xtest/vl_test_whistc.m000066400000000000000000000025501203326130700211430ustar00rootroot00000000000000function results = vl_test_whistc(varargin)
% VL_TEST_WHISTC
vl_test_init ;

function test_acc()
x = ones(1, 10) ;
e = 1 ;
o = 1:10 ;
vl_assert_equal(vl_whistc(x, o, e), 55) ;

function test_basic()
x = 1:10 ;
e = 1:10 ;
o = ones(1, 10) ;
vl_assert_equal(histc(x, e), vl_whistc(x, o, e)) ;

x = linspace(-1,11,100) ;
o = ones(size(x)) ;
vl_assert_equal(histc(x, e), vl_whistc(x, o, e)) ;

function test_multidim()
x = rand(10, 20, 30) ;
e = linspace(0,1,10) ;
o = ones(size(x)) ;

vl_assert_equal(histc(x, e), vl_whistc(x, o, e)) ;
vl_assert_equal(histc(x, e, 1), vl_whistc(x, o, e, 1)) ;
vl_assert_equal(histc(x, e, 2), vl_whistc(x, o, e, 2)) ;
vl_assert_equal(histc(x, e, 3), vl_whistc(x, o, e, 3)) ;

function test_nan()
x = rand(10, 20, 30) ;
e = linspace(0,1,10) ;
o = ones(size(x)) ;
x(1:7:end) = NaN ;

vl_assert_equal(histc(x, e), vl_whistc(x, o, e)) ;
vl_assert_equal(histc(x, e, 1), vl_whistc(x, o, e, 1)) ;
vl_assert_equal(histc(x, e, 2), vl_whistc(x, o, e, 2)) ;
vl_assert_equal(histc(x, e, 3), vl_whistc(x, o, e, 3)) ;

function test_no_edges()
x = rand(10, 20, 30) ;
o = ones(size(x)) ;
vl_assert_equal(histc(1, []), vl_whistc(1, 1, [])) ;
vl_assert_equal(histc(x, []), vl_whistc(x, o, [])) ;
vl_assert_equal(histc(x, [], 1), vl_whistc(x, o, [], 1)) ;
vl_assert_equal(histc(x, [], 2), vl_whistc(x, o, [], 2)) ;
vl_assert_equal(histc(x, [], 3), vl_whistc(x, o, [], 3)) ;
vlfeat-0.9.16/vl/000077500000000000000000000000001203326130700135065ustar00rootroot00000000000000vlfeat-0.9.16/vl/aib.c000066400000000000000000000517171203326130700144200ustar00rootroot00000000000000/** @file aib.c
 ** @brief AIB - Definition
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**


@page aib Agglomerative Information Bottleneck (AIB)
@author Brian Fulkerson
@author Andrea Vedaldi


@ref aib.h implemens the Agglomerative Information Bottleneck (AIB)
algorithm as first described in @cite{slonim99agglomerative}.

AIB takes a discrete valued feature @f$x@f$ and a label @f$c@f$ and
gradually compresses @f$x@f$ by iteratively merging values which
minimize the loss in mutual information @f$I(x,c)@f$.

While the algorithm is equivalent to the one described in
@cite{slonim99agglomerative}, it has some speedups that enable
handling much larger datasets. Let N be the number of feature
values and C the number of labels. The algorithm of
@cite{slonim99agglomerative} is @f$O(N^2)@f$ in space and @f$O(C
N^3)@f$ in time. This algorithm is @f$O(N)@f$ space and @f$O(C N^2)@f$
time in common cases (@f$O(C N^3)@f$ in the worst case).


@section aib-overview Overview


Given a discrete feature @f$x \in \mathcal{X} = \{x_1,\dots,x_N\}@f$
and a category label @f$c = 1,\dots,C@f$ with joint probability
@f$p(x,c)@f$, AIB computes a compressed feature @f$[x]_{ij}@f$ by
merging two values @f$x_i@f$ and @f$x_j@f$.  Among all the pairs
@f$ij@f$, AIB chooses the one that yields the smallest loss in the
mutual information

@f[
   D_{ij} = I(x,c) - I([x]_{ij},c) =
   \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)}   +
   \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)}   -
   \sum_c (p(x_i)+p(x_j)) \log \frac {p(x_i,c)+p(x_i,c)}{(p(x_i)+p(x_j))p(c)}
@f]

AIB iterates this procedure until the desired level of
compression is achieved.

@section aib-algorithm Algorithm details

Computing @f$D_{ij}@f$ requires @f$O(C)@f$ operations. For example, in
standard AIB we need to calculate

@f[
   D_{ij} = I(x,c) - I([x]_{ij},c) =
   \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)}   +
   \sum_c p(x_i) \log \frac{p(x_i,c)}{p(x_i)p(c)}   -
   \sum_c (p(x_i)+p(x_j)) \log \frac {p(x_i,c)+p(x_i,c)}{(p(x_i)+p(x_j))p(c)}
@f]

Thus in a basic implementation of AIB, finding the optimal pair
@f$ij@f$ of feature values requires @f$O(CN^2)@f$ operations in
total. In order to join all the @f$N@f$ values, we repeat this
procedure @f$O(N)@f$ times, yielding @f$O(N^3 C)@f$ time and
@f$O(1)@f$ space complexity (this does not account for the space need
to store the input).

The complexity can be improved by reusing computations. For instance,
we can store the matrix @f$D = [ D_{ij} ]@f$ (which requires
@f$O(N^2)@f$ space). Then, after joining @f$ij@f$, all of the matrix
D except the rows and columns (the matrix is symmetric) of
indexes i and j is unchanged. These two rows and
columns are deleted and a new row and column, whose computation
requires @f$O(NC)@f$ operations, are added for the merged value
@f$x_{ij}@f$.  Finding the minimal element of the matrix still
requires @f$O(N^2)@f$ operations, so the complexity of this algorithm
is @f$O(N^2C + N^3)@f$ time and @f$O(N^2)@f$ space.

We can obtain a much better expected complexity as follows. First,
instead of storing the whole matrix D, we store the smallest
element (index and value) of each row as @f$(q_i, D_i)@f$ (notice that
this is also the best element of each column since D is
symmetric). This requires @f$O(N)@f$ space and finding the minimal
element of the matrix requires @f$O(N)@f$ operations.  After joining
@f$ij@f$, we have to efficiently update this representation. This is
done as follows:

- The entries @f$(q_i,D_i)@f$ and @f$(q_j,D_j)@f$ are deleted.
- A new entry @f$(q_{ij},D_{ij})@f$ for the joint value @f$x_{ij}@f$
  is added. This requires @f$O(CN)@f$ operations.
- We test which other entries @f$(q_{k},D_{k})@f$ need to
  be updated. Recall that @f$(q_{k},D_{k})@f$ means that, before the
  merge, the value
  closest to @f$x_k@f$ was @f$x_{q_k}@f$ at a distance @f$D_k@f$. Then
  - If @f$q_k \not = i@f$, @f$q_k \not = j@f$ and @f$D_{k,ij} \geq D_k@f$, then
    @f$q_k@f$ is still the closest element and we do not do anything.
  - If @f$q_k \not = i@f$, @f$q_k \not = j@f$ and @f$D_{k,ij} <
    D_k@f$, then the closest element is @f$ij@f$ and we update the
    entry in constant time.
  - If @f$q_k = i@f$ or @f$q_k = j@f$, then we need to re-compute
    the closest element in @f$O(CN)@f$ operations.

This algorithm requires only @f$O(N)@f$ space and @f$O(\gamma(N) C
N^2)@f$ time, where @f$\gamma(N)@f$ is the expected number of times we
fall in the last case. In common cases one has @f$\gamma(N) \approx
\mathrm{const.}@f$, so the time saving is significant.

**/

#include "aib.h"
#include 
#include 
#include 
#include 

/* The maximum value which beta may take */
#define BETA_MAX DBL_MAX

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Normalizes an array of probabilities to sum to 1
 **
 ** @param P        The array of probabilities
 ** @param nelem    The number of elements in the array
 **
 ** @return Modifies P to contain values which sum to 1
 **/

void vl_aib_normalize_P (double * P, vl_uint nelem)
{
    vl_uint i;
    double sum = 0;
    for(i=0; ibeta to find the minimum value and fills @a minbeta and
 ** @a besti and @a bestj with this information.
 **/

void vl_aib_min_beta
(VlAIB * aib, vl_uint * besti, vl_uint * bestj, double * minbeta)
{
    vl_uint i;
    *minbeta = aib->beta[0];
    *besti   = 0;
    *bestj   = aib->bidx[0];

    for(i=0; inentries; i++)
    {
        if(aib->beta[i] < *minbeta)
        {
            *minbeta = aib->beta[i];
            *besti = i;
            *bestj = aib->bidx[i];
        }
    }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Merges two nodes i,j in the internal datastructure
 **
 ** @param aib  A pointer to the internal data structure
 ** @param i    The index of one member of the pair to merge
 ** @param j    The index of the other member of the pair to merge
 ** @param new  The index of the new node which corresponds to the union of
 **             (@a i, @a j).
 **
 ** Nodes are merged by replacing the entry @a i with the union of @c
 ** ij, moving the node stored in last position (called @c lastnode)
 ** back to jth position and the entry at the end.
 **
 ** After the nodes have been merged, it updates which nodes should be
 ** considered on the next iteration based on which beta values could
 ** potentially change. The merged node will always be part of this
 ** list.
 **/

void
vl_aib_merge_nodes (VlAIB * aib, vl_uint i, vl_uint j, vl_uint new)
{
  vl_uint last_entry = aib->nentries - 1 ;
  vl_uint c, n ;

  /* clear the list of nodes to update */
  aib->nwhich = 0;

  /* make sure that i is smaller than j */
  if(i > j) { vl_uint tmp = j; j = i; i = tmp; }

  /* -----------------------------------------------------------------
   *                    Merge entries i and j, storing the result in i
   * -------------------------------------------------------------- */

  aib-> Px   [i] += aib->Px[j] ;
  aib-> beta [i]  = BETA_MAX ;
  aib-> nodes[i]  = new ;

  for (c = 0; c < aib->nlabels; c++)
    aib-> Pcx [i*aib->nlabels + c] += aib-> Pcx [j*aib->nlabels + c] ;

  /* -----------------------------------------------------------------
   *                                              Move last entry to j
   * -------------------------------------------------------------- */

  aib-> Px    [j]  = aib-> Px    [last_entry];
  aib-> beta  [j]  = aib-> beta  [last_entry];
  aib-> bidx  [j]  = aib-> bidx  [last_entry];
  aib-> nodes [j]  = aib-> nodes [last_entry];

  for (c = 0 ;  c < aib->nlabels ; c++)
    aib-> Pcx[j*aib->nlabels + c] = aib-> Pcx [last_entry*aib->nlabels + c] ;

  /* delete last entry */
  aib-> nentries -- ;

  /* -----------------------------------------------------------------
   *                                        Scan for entries to update
   * -------------------------------------------------------------- */

  /*
   * After mergin entries i and j, we need to update all other entries
   * that had one of these two as closest match. We also need to
   * update the renewend entry i. This is added by the loop below
   * since bidx [i] = j exactly because i was merged.
   *
   * Additionaly, since we moved the last entry back to the entry j,
   * we need to adjust the valeus of bidx to reflect this.
   */

  for (n = 0 ; n < aib->nentries; n++) {
    if(aib->bidx[n] == i || aib->bidx[n] == j) {
        aib->bidx  [n] = 0;
        aib->beta  [n] = BETA_MAX;
        aib->which [aib->nwhich++] = n ;
      }
    else if(aib->bidx[n] == last_entry) {
      aib->bidx[n] = j ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Updates @c aib->beta and @c aib->bidx according to @c aib->which
 **
 ** @param aib AIB data structure.
 **
 ** The function calculates @c beta[i] and @c bidx[i] for the nodes @c
 ** i listed in @c aib->which.  @c beta[i] is the minimal variation of mutual
 ** information (or other score) caused by merging entry @c i with another entry
 ** and @c bidx[i] is the index of this best matching entry.
 **
 ** Notice that for each entry @c i that we need to update, a full
 ** scan of all the other entries must be performed.
 **/

void
vl_aib_update_beta (VlAIB * aib)
{

#define PLOGP(x) ((x)*log((x)))

  vl_uint i;
  double * Px  = aib->Px;
  double * Pcx = aib->Pcx;
  double * tmp = vl_malloc(sizeof(double)*aib->nentries);
  vl_uint a, b, c ;

  /*
   * T1 = I(x,c) - I([x]_ij) = A + B - C
   *
   * A  = \sum_c p(xa,c)           \log ( p(xa,c)          /  p(xa)       )
   * B  = \sum_c p(xb,c)           \log ( p(xb,c)          /  p(xb)       )
   * C  = \sum_c (p(xa,c)+p(xb,c)) \log ((p(xa,c)+p(xb,c)) / (p(xa)+p(xb)))
   *
   * C  = C1 + C2
   * C1 = \sum_c (p(xa,c)+p(xb,c)) \log (p(xa,c)+p(xb,c))
   * C2 = - (p(xa)+p(xb) \log (p(xa)+p(xb))
   */

  /* precalculate A and B */
  for (a = 0; a < aib->nentries; a++) {
    tmp[a] = 0;
    for (c = 0; c < aib->nlabels; c++) {
        double Pac = Pcx [a*aib->nlabels + c] ;
        if(Pac != 0) tmp[a] += Pac * log (Pac / Px[a]) ;
    }
  }

  /* for each entry listed in which */
  for (i = 0 ; i < aib->nwhich; i++) {
    a = aib->which[i];

    /* for each other entry */
    for(b = 0 ; b < aib->nentries ; b++) {
      double T1 = 0 ;

      if (a == b || Px [a] == 0 || Px [b] == 0) continue ;


      T1 = PLOGP ((Px[a] + Px[b])) ;                  /* - C2 */
      T1 += tmp[a] + tmp[b] ;                         /* + A + B */

      for (c = 0 ; c < aib->nlabels; ++ c) {
        double Pac = Pcx [a*aib->nlabels + c] ;
        double Pbc = Pcx [b*aib->nlabels + c] ;
        if (Pac == 0 && Pbc == 0) continue;
        T1 += - PLOGP ((Pac + Pbc)) ;                 /* - C1 */
      }

      /*
       * Now we have beta(a,b). We check wether this is the best beta
       * for entries a and b.
       */
      {
        double beta = T1 ;

        if (beta < aib->beta[a])
          {
            aib->beta[a] = beta;
            aib->bidx[a] = b;
          }
        if (beta < aib->beta[b])
          {
            aib->beta[b] = beta;
            aib->bidx[b] = a;
          }
      }
    }
  }
  vl_free(tmp);
}

/** ------------------------------------------------------------------
 ** @internal @brief Calculates the current information and entropy
 **
 ** @param aib      A pointer to the internal data structure
 ** @param I        The current mutual information (out).
 ** @param H        The current entropy (out).
 **
 ** Calculates the current mutual information and entropy of Pcx and sets
 ** @a I and @a H to these new values.
 **/
void vl_aib_calculate_information(VlAIB * aib, double * I, double * H)
{
    vl_uint r, c;
    *H = 0;
    *I = 0;

    /*
     * H(x)   = - sum_x p(x)    \ log p(x)
     * I(x,c) =   sum_xc p(x,c) \ log (p(x,c) / p(x)p(c))
     */

    /* for each entry */
    for(r = 0 ; r< aib->nentries ; r++) {

      if (aib->Px[r] == 0) continue ;
      *H += -log(aib->Px[r]) * aib->Px[r] ;

      for(c=0; cnlabels; c++) {
        if (aib->Pcx[r*aib->nlabels+c] == 0) continue;
        *I += aib->Pcx[r*aib->nlabels+c] *
          log (aib->Pcx[r*aib->nlabels+c] / (aib->Px[r]*aib->Pc[c])) ;
      }
    }
}

/** ------------------------------------------------------------------
 ** @brief Allocates and initializes the internal data structure
 **
 ** @param Pcx      A pointer to a 2D array of probabilities
 ** @param nvalues    The number of rows in the array
 ** @param nlabels    The number of columns in the array
 **
 ** Creates a new @a VlAIB struct containing pointers to all the data that
 ** will be used during the AIB process.
 **
 ** Allocates memory for the following:
 ** - Px (nvalues*sizeof(double))
 ** - Pc (nlabels*sizeof(double))
 ** - nodelist (nvalues*sizeof(vl_uint))
 ** - which (nvalues*sizeof(vl_uint))
 ** - beta (nvalues*sizeof(double))
 ** - bidx (nvalues*sizeof(vl_uint))
 ** - parents ((2*nvalues-1)*sizeof(vl_uint))
 ** - costs (nvalues*sizeof(double))
 **
 ** Since it simply copies to pointer to Pcx, the total additional memory
 ** requirement is:
 **
 ** (3*nvalues+nlabels)*sizeof(double) + 4*nvalues*sizeof(vl_uint)
 **
 ** @returns An allocated and initialized @a VlAIB pointer
 **/
VlAIB * vl_aib_new(double * Pcx, vl_uint nvalues, vl_uint nlabels)
{
    VlAIB * aib = vl_malloc(sizeof(VlAIB));
    vl_uint i ;

    aib->verbosity = 0 ;
    aib->Pcx   = Pcx ;
    aib->nvalues = nvalues ;
    aib->nlabels = nlabels ;

    vl_aib_normalize_P (aib->Pcx, aib->nvalues * aib->nlabels) ;

    aib->Px = vl_aib_new_Px (aib->Pcx, aib->nvalues, aib->nlabels) ;
    aib->Pc = vl_aib_new_Pc (aib->Pcx, aib->nvalues, aib->nlabels) ;

    aib->nentries = aib->nvalues ;
    aib->nodes    = vl_aib_new_nodelist(aib->nentries) ;
    aib->beta     = vl_malloc(sizeof(double) * aib->nentries) ;
    aib->bidx     = vl_malloc(sizeof(vl_uint)   * aib->nentries) ;

    for(i = 0 ; i < aib->nentries ; i++)
      aib->beta [i] = BETA_MAX ;

    /* Initially we must consider all nodes */
    aib->nwhich = aib->nvalues;
    aib->which  = vl_aib_new_nodelist (aib->nwhich) ;

    aib->parents = vl_malloc(sizeof(vl_uint)*(aib->nvalues*2-1));
    /* Initially, all parents point to a nonexistent node */
    for (i = 0 ; i < 2 * aib->nvalues - 1 ; i++)
      aib->parents [i] = 2 * aib->nvalues ;

    /* Allocate cost output vector */
    aib->costs = vl_malloc (sizeof(double) * (aib->nvalues - 1 + 1)) ;


    return aib ;
}

/** ------------------------------------------------------------------
 ** @brief Deletes AIB data structure
 ** @param aib data structure to delete.
 **/

void
vl_aib_delete (VlAIB * aib)
{
  if (aib) {
    if (aib-> nodes)   vl_free (aib-> nodes);
    if (aib-> beta)    vl_free (aib-> beta);
    if (aib-> bidx)    vl_free (aib-> bidx);
    if (aib-> which)   vl_free (aib-> which);
    if (aib-> Px)      vl_free (aib-> Px);
    if (aib-> Pc)      vl_free (aib-> Pc);
    if (aib-> parents) vl_free (aib-> parents);
    if (aib-> costs)   vl_free (aib-> costs);

    vl_free (aib) ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Runs AIB on Pcx
 **
 ** @param aib     AIB object to process
 **
 ** The function runs Agglomerative Information Bottleneck (AIB) on
 ** the joint probability table @a aib->Pcx which has labels along the
 ** columns and feature values along the rows. AIB iteratively merges
 ** the two values of the feature @c x that causes the smallest
 ** decrease in mutual information between the random variables @c x
 ** and @c c.
 **
 ** Merge operations are arranged in a binary tree. The nodes of the
 ** tree correspond to the original feature values and any other value
 ** obtained as a result of a merge operation. The nodes are indexed
 ** in breadth-first order, starting from the leaves. The first index
 ** is zero. In this way, the leaves correspond directly to the
 ** original feature values.  In total there are @c 2*nvalues-1 nodes.
 **
 ** The results may be accessed through vl_aib_get_parents which
 ** returns an array with one element per tree node. Each
 ** element is the index the parent node. The root parent is equal to
 ** zero. The array has @c 2*nvalues-1 elements.
 **
 ** Feature values with null probability are ignored by the algorithm
 ** and their nodes have parents indexing a non-existent tree node (a
 ** value bigger than @c 2*nvalues-1).
 **
 ** Then the function will also compute the information level after each
 ** merge. vl_get_costs will return a vector with the information level
 ** after each merge. @a
 ** cost has @c nvalues entries: The first is the value of the cost
 ** functional before any merge, and the others are the cost after the
 ** @c nvalues-1 merges.
 **
 **/

VL_EXPORT
void vl_aib_process(VlAIB *aib)
{
    vl_uint i, besti, bestj, newnode, nodei, nodej;
    double I, H;
    double minbeta;

    /* Calculate initial value of cost function */
    vl_aib_calculate_information (aib, &I, &H) ;
    aib->costs[0] = I;

    /* Initially which = all */

    /* For each merge */
    for(i = 0 ; i < aib->nvalues - 1 ; i++) {

      /* update entries in aib-> which */
      vl_aib_update_beta(aib);

      /* find best pair of nodes to merge */
      vl_aib_min_beta (aib, &besti, &bestj, &minbeta);

      if(minbeta == BETA_MAX)
        /* only null-probability entries remain */
        break;

      /* Add the parent pointers for the new node */
      newnode = aib->nvalues + i ;
      nodei = aib->nodes[besti];
      nodej = aib->nodes[bestj];

      aib->parents [nodei] = newnode ;
      aib->parents [nodej] = newnode ;
      aib->parents [newnode] = 0 ;

      /* Merge the nodes which produced the minimum beta */
      vl_aib_merge_nodes (aib, besti, bestj, newnode) ;
      vl_aib_calculate_information (aib, &I, &H) ;

      aib->costs[i+1] = I;

      if (aib->verbosity > 0) {
        VL_PRINTF ("aib: (%5d,%5d)=%5d dE: %10.3g I: %6.4g H: %6.4g updt: %5d\n",
                   nodei,
                   nodej,
                   newnode,
                   minbeta,
                   I,
                   H,
                   aib->nwhich) ;
      }
    }

    /* fill ignored entries with NaNs */
    for(; i < aib->nvalues - 1 ; i++)
        aib->costs[i+1] = VL_NAN_D ;
}
vlfeat-0.9.16/vl/aib.h000066400000000000000000000067411203326130700144220ustar00rootroot00000000000000/** @file aib.h
 ** @brief AIB (@ref aib)
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_AIB_H
#define VL_AIB_H

#include "generic.h"
#include "mathop.h"

/** ------------------------------------------------------------------
 ** @internal
 ** @brief AIB algorithm data
 **
 ** The implementation is quite straightforward, but the way feature
 ** values are handled in order to support efficient joins,
 ** deletions and re-arrangement needs to be explained. This is
 ** achieved by adding a layer of indirection:
 ** - Call each feature value (either original or obtained by a join
 **   operation) a node. Nodes are identified by numbers.
 ** - Call each element of the various arrays (such as VlAIB::Px)
 **    an entry.
 ** - Entries are dynamically associated to nodes as specified by
 **   VlAIB::nodes. For example, @c Px[i] refers to the node @c
 **   nodes[i].
 **/

typedef struct _VlAIB
{
  vl_uint   *nodes ;    /**< Entires to nodes */
  vl_uint    nentries ; /**< Total number of entries (= # active nodes) */
  double    *beta ;     /**< Minimum distance to an entry  */
  vl_uint   *bidx ;     /**< Closest entry */


  vl_uint   *which ;    /**< List of entries to update */
  vl_uint    nwhich ;   /**< Number of entries to update */

  double    *Pcx;       /**< Joint probability table */
  double    *Px;        /**< Marginal. */
  double    *Pc;        /**< Marginal. */
  vl_uint    nvalues;   /**< Number of feature values */
  vl_uint    nlabels;   /**< Number of labels */

  vl_uint   *parents;   /**< Array of parents */
  double    *costs;     /**< Cost of each merge */

  vl_uint verbosity ; /** Verbosity level */
} VlAIB;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT
VlAIB * vl_aib_new(double * Pcx, vl_uint nvalues, vl_uint nlabels);

VL_EXPORT
void vl_aib_delete (VlAIB * aib);
/** @} */

/** @name Process data
 ** @{
 **/
VL_EXPORT
void vl_aib_process(VlAIB * aib);
/** @} */

/** @name Retrieve results
 ** @{
 **/
VL_INLINE vl_uint * vl_aib_get_parents(VlAIB const * aib);
VL_INLINE double  * vl_aib_get_costs(VlAIB const * aib);
/** @} */


/* -------------------------------------------------------------------
 *                                     Inline functions implementation
 * ---------------------------------------------------------------- */

/** ------------------------------------------------------------------
 ** @brief Get resulting list of parents
 ** @param aib AIB filter.
 ** @return An array of parents
 **/
VL_INLINE
vl_uint * vl_aib_get_parents(VlAIB const * aib)
{
  return aib->parents;
}

/** ------------------------------------------------------------------
 ** @brief Get a list of merge costs
 ** @param aib AIB filter.
 ** @return An array of costs
 **/
VL_INLINE
double * vl_aib_get_costs(VlAIB const * aib)
{
  return aib->costs;
}

/* ----------------------------------------------------------------- */
/** @brief Set the verbosity
 ** @param self AIB object.
 ** @param verbosity a non-negative integer.
 **/
VL_INLINE void
vl_aib_set_verbosity (VlAIB * self, int verbosity)
{
  self->verbosity = verbosity ;
}

/** @brief Get the verbosity
 ** @param self AIB object.
 ** @return the verbosity level.
 **/
VL_INLINE int
vl_aib_get_verbosity (VlAIB const * self)
{
  return self->verbosity ;
}

/* VL_AIB_H */
#endif
vlfeat-0.9.16/vl/array.c000066400000000000000000000130511203326130700147700ustar00rootroot00000000000000/** @file array.h
 ** @brief Array
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "array.h"
#include 

/** @brief Get number of elements in array
 ** @param self array.
 ** @return number of elements.
 **/

VL_EXPORT vl_size
vl_array_get_num_elements (VlArray const * self)
{
  vl_size numElements = 1 ;
  vl_uindex k ;
  if (self->numDimensions == 0) {
    return 0 ;
  }
  for (k = 0 ; k < self->numDimensions ; ++k) {
    numElements *= self->dimensions[k] ;
  }
  return numElements ;
}

/* ---------------------------------------------------------------- */
/*                                                  init &  dealloc */
/* ---------------------------------------------------------------- */

/** @brief New numeric array
 ** @param self array to initialize.
 ** @param type data type.
 ** @param numDimensions number of dimensions.
 ** @param dimensions dimensions.
 **
 ** The function initializes the specified array and allocates
 ** the necessary memory for storage.
 **/

VL_EXPORT VlArray *
vl_array_init (VlArray* self, vl_type type,
               vl_size numDimensions, vl_size const * dimensions)
{
  assert (numDimensions <= VL_ARRAY_MAX_NUM_DIMENSIONS) ;
  self->type = type ;
  self->numDimensions = numDimensions ;
  memcpy(self->dimensions, dimensions, sizeof(vl_size) * numDimensions) ;
  self->data = vl_malloc(vl_get_type_size(type) * vl_array_get_num_elements (self)) ;
  self->isEnvelope = VL_FALSE ;
  self->isSparse = VL_FALSE ;
  return self ;
}

/** @brief New numeric array envelope
 ** @param self array to initialize.
 ** @param data data to envelople.
 ** @param type data type.
 ** @param numDimensions number of dimensions.
 ** @param dimensions dimensions.
 **
 ** The function initializes the specified array wrapping the
 ** specified buffer.
 **/

VL_EXPORT VlArray *
vl_array_init_envelope (VlArray * self, void * data, vl_type type,
                        vl_size numDimensions, vl_size const * dimensions)
{
  assert (numDimensions <= VL_ARRAY_MAX_NUM_DIMENSIONS) ;
  self->type = type ;
  self->numDimensions = numDimensions ;
  memcpy(self->dimensions, dimensions, sizeof(vl_size) * numDimensions) ;
  self->data = data ;
  self->isEnvelope = VL_TRUE ;
  self->isSparse = VL_FALSE ;
  return self ;
}

/** @brief New numeric array with matrix shape
 ** @param self array to initialize.
 ** @param type type.
 ** @param numRows number of rows.
 ** @param numColumns number of columns.
 **/

VL_EXPORT VlArray *
vl_array_init_matrix (VlArray * self, vl_type type, vl_size numRows, vl_size numColumns)
{
  vl_size dimensions [2] = {numRows, numColumns} ;
  return vl_array_init (self, type, 2, dimensions) ;
}

/** @brief New numeric array envelpe with matrix shape
 ** @param self array to initialize.
 ** @param data data to envelope.
 ** @param type type.
 ** @param numRows number of rows.
 ** @param numColumns number of columns.
 **/

VL_EXPORT VlArray *
vl_array_init_matrix_envelope (VlArray * self, void * data,
                                vl_type type, vl_size numRows, vl_size numColumns)
{
  vl_size dimensions [2] = {numRows, numColumns} ;
  return vl_array_init_envelope (self, data, type, 2, dimensions) ;
}

/** @brief Delete array
 ** @param self array.
 **/

VL_EXPORT void
vl_array_dealloc (VlArray * self)
{
  if (! self->isEnvelope) {
    if (self->data) {
      vl_free(self->data) ;
      self->data = NULL ;
    }
  }
}

/* ---------------------------------------------------------------- */
/*                                                    new &  delete */
/* ---------------------------------------------------------------- */


/** @brief New numeric array
 ** @param type data type.
 ** @param numDimensions number of dimensions.
 ** @param dimensions dimensions.
 **
 ** The function creates a new VLArray instance and allocates
 ** the necessary memory for storage.
 **/

VL_EXPORT VlArray *
vl_array_new (vl_type type, vl_size numDimensions, vl_size const * dimensions)
{
  VlArray * self = vl_malloc(sizeof(VlArray)) ;
  return vl_array_init(self, type, numDimensions, dimensions) ;
}

/** @brief New numeric array with matrix shape
 ** @param type type.
 ** @param numRows number of rows.
 ** @param numColumns number of columns.
 **/

VL_EXPORT VlArray *
vl_array_new_matrix (vl_type type, vl_size numRows, vl_size numColumns)
{
  vl_size dimensions [2] = {numRows, numColumns} ;
  return vl_array_new (type, 2, dimensions) ;
}

/** @brief New numeric array envelope
 ** @param data data to envelople.
 ** @param type data type.
 ** @param numDimensions number of dimensions.
 ** @param dimensions dimensions.
 **/

VL_EXPORT VlArray *
vl_array_new_envelope (void * data, vl_type type,
                       vl_size numDimensions, vl_size const * dimensions)
{
  VlArray * self = vl_malloc(sizeof(VlArray)) ;
  return vl_array_init_envelope(self, data, type, numDimensions, dimensions) ;
}

/** @brief New numeric array envelpe with matrix shape
 ** @param data data to envelope.
 ** @param type type.
 ** @param numRows number of rows.
 ** @param numColumns number of columns.
 **/

VL_EXPORT VlArray *
vl_array_new_matrix_envelope (void * data, vl_type type, vl_size numRows, vl_size numColumns)
{
  vl_size dimensions [2] = {numRows, numColumns} ;
  return vl_array_new_envelope (data, type, 2, dimensions) ;
}

/** @brief Delete array
 ** @param self array.
 **/

VL_EXPORT void
vl_array_delete (VlArray * self)
{
  vl_array_dealloc(self) ;
  vl_free(self) ;
}
vlfeat-0.9.16/vl/array.h000066400000000000000000000051361203326130700150020ustar00rootroot00000000000000/** @file array.h
 ** @brief Array - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_ARRAY_H
#define VL_ARRAY_H

#include "generic.h"

/** @brief Maximum number of array dimensions */
#define VL_ARRAY_MAX_NUM_DIMENSIONS 16

/** @brief Numeric array */
typedef struct _VlArray
{
  vl_type type ;
  vl_bool isEnvelope ;
  vl_bool isSparse ;
  vl_size numDimensions ;
  vl_size dimensions [VL_ARRAY_MAX_NUM_DIMENSIONS] ;
  void * data ;
  void * rowPointers ;
  void * columnPointers ;
} VlArray ;


/** @name Get data and parameters
 ** @{ */

/** @brief Get number of dimensions
 ** @param self array.
 ** @return number of dimensions.
 **/

VL_INLINE vl_size
vl_array_get_num_dimensions (VlArray const * self)
{
  return self->numDimensions ;
}

/** @brief Get dimensions
 ** @param self array.
 ** @return dimensions.
 **/

VL_INLINE vl_size const *
vl_array_get_dimensions (VlArray const * self)
{
  return self->dimensions ;
}

/** @brief Get data
 ** @param self array.
 ** @return data.
 **/

VL_INLINE void *
vl_array_get_data (VlArray const * self)
{
  return self->data;
}

/** @brief Get type
 ** @param self array.
 ** @return type.
 **/

VL_INLINE vl_type
vl_array_get_data_type (VlArray const * self)
{
  return self->type ;
}

VL_EXPORT vl_size vl_array_get_num_elements (VlArray const * self) ;

/** @{ */

/** @name Constructing and destroying
 ** @{ */

VL_EXPORT VlArray * vl_array_init (VlArray * self, vl_type type, vl_size numDimension, vl_size const * dimensions) ;
VL_EXPORT VlArray * vl_array_init_envelope (VlArray *self, void * data, vl_type type, vl_size numDimension, vl_size const * dimensions) ;
VL_EXPORT VlArray * vl_array_init_matrix (VlArray * self, vl_type type, vl_size numRows, vl_size numColumns) ;
VL_EXPORT VlArray * vl_array_init_matrix_envelope (VlArray * self, void * data, vl_type type, vl_size numRows, vl_size numColumns) ;

VL_EXPORT VlArray * vl_array_new (vl_type type, vl_size numDimension, vl_size const * dimensions) ;
VL_EXPORT VlArray * vl_array_new_envelope (void * data, vl_type type, vl_size numDimension, vl_size const * dimensions) ;
VL_EXPORT VlArray * vl_array_new_matrix (vl_type type, vl_size numRows, vl_size numColumns) ;
VL_EXPORT VlArray * vl_array_new_matrix_envelope (void * data, vl_type type, vl_size numRows, vl_size numColumns) ;

VL_EXPORT void vl_array_dealloc (VlArray * self) ;
VL_EXPORT void vl_array_delete (VlArray * self) ;
/** @} */

/* VL_ARRAY_H */
#endif
vlfeat-0.9.16/vl/covdet.c000066400000000000000000002247611203326130700151520ustar00rootroot00000000000000/** @file covdet.c
 ** @brief Covariant feature detectors - Definition
 ** @author Karel Lenc
 ** @author Andrea Vedaldi
 ** @author Michal Perdoch
 **/

/*
 Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
 All rights reserved.

 This file is part of the VLFeat library and is made available under
 the terms of the BSD license (see the COPYING file).
 */

/**

@page covdet Covariant feature detectors
@auhtor Karel Lenc
@author Andrea Vedaldi
@author Michal Perdoch


@ref covdet.h implements a number of covariant feature detectors, based
on three cornerness measures (determinant of the Hessian, trace of the Hessian
(aka Difference of Gaussians, and Harris). It supprots affine adaptation,
orientation estimation, as well as Laplacian scale detection.

**/

#include "covdet.h"
#include 

/** @brief Reallocate buffer
 ** @param buffer
 ** @param bufferSize
 ** @param targetSize
 ** @return error code
 **/

static int
_vl_resize_buffer (void ** buffer, vl_size * bufferSize, vl_size targetSize) {
  void * newBuffer ;
  if (*buffer == NULL) {
    *buffer = vl_malloc(targetSize) ;
    if (*buffer) {
      *bufferSize = targetSize ;
      return VL_ERR_OK ;
    } else {
      *bufferSize = 0 ;
      return VL_ERR_ALLOC ;
    }
  }
  newBuffer = vl_realloc(*buffer, targetSize) ;
  if (newBuffer) {
    *buffer = newBuffer ;
    *bufferSize = targetSize ;
    return VL_ERR_OK ;
  } else {
    return VL_ERR_ALLOC ;
  }
}

/** @brief Enlarge buffer
 ** @param buffer
 ** @param bufferSize
 ** @param targetSize
 ** @return error code
 **/

static int
_vl_enlarge_buffer (void ** buffer, vl_size * bufferSize, vl_size targetSize) {
  if (*bufferSize >= targetSize) return VL_ERR_OK ;
  return _vl_resize_buffer(buffer,bufferSize,targetSize) ;
}

/* ---------------------------------------------------------------- */
/*                                            Finding local extrema */
/* ---------------------------------------------------------------- */

/* Todo: make this generally available in the library */

typedef struct _VlCovDetExtremum2
{
  vl_index xi ;
  vl_index yi ;
  float x ;
  float y ;
  float peakScore ;
  float edgeScore ;
} VlCovDetExtremum2 ;

typedef struct _VlCovDetExtremum3
{
  vl_index xi ;
  vl_index yi ;
  vl_index zi ;
  float x ;
  float y ;
  float z ;
  float peakScore ;
  float edgeScore ;
} VlCovDetExtremum3 ;

VL_EXPORT vl_size
vl_find_local_extrema_3 (vl_index ** extrema, vl_size * bufferSize,
                         float const * map,
                         vl_size width, vl_size height, vl_size depth,
                         double threshold) ;

VL_EXPORT vl_size
vl_find_local_extrema_2 (vl_index ** extrema, vl_size * bufferSize,
                         float const * map,
                         vl_size width, vl_size height,
                         double threshold) ;

VL_EXPORT vl_bool
vl_refine_local_extreum_3 (VlCovDetExtremum3 * refined,
                           float const * map,
                           vl_size width, vl_size height, vl_size depth,
                           vl_index x, vl_index y, vl_index z) ;

VL_EXPORT vl_bool
vl_refine_local_extreum_2 (VlCovDetExtremum2 * refined,
                           float const * map,
                           vl_size width, vl_size height,
                           vl_index x, vl_index y) ;

/** @brief Find extrema in 3D function
 ** @param extrema
 ** @param bufferSize
 ** @param map a 3D array representing the map.
 ** @param width of the map.
 ** @param height of the map.
 ** @param deepth of the map.
 ** @param threshold minumum extremum value.
 ** @return number of extrema found.
 **/

vl_size
vl_find_local_extrema_3 (vl_index ** extrema, vl_size * bufferSize,
                         float const * map,
                         vl_size width, vl_size height, vl_size depth,
                         double threshold)
{
  vl_index x, y, z ;
  vl_size const xo = 1 ;
  vl_size const yo = width ;
  vl_size const zo = width * height ;
  float const *pt = map + xo + yo + zo ;

  vl_size numExtrema = 0 ;
  vl_size requiredSize = 0 ;

#define CHECK_NEIGHBORS_3(v,CMP,SGN)     (\
v CMP ## = SGN threshold &&               \
v CMP *(pt + xo) &&                       \
v CMP *(pt - xo) &&                       \
v CMP *(pt + zo) &&                       \
v CMP *(pt - zo) &&                       \
v CMP *(pt + yo) &&                       \
v CMP *(pt - yo) &&                       \
\
v CMP *(pt + yo + xo) &&                  \
v CMP *(pt + yo - xo) &&                  \
v CMP *(pt - yo + xo) &&                  \
v CMP *(pt - yo - xo) &&                  \
\
v CMP *(pt + xo      + zo) &&             \
v CMP *(pt - xo      + zo) &&             \
v CMP *(pt + yo      + zo) &&             \
v CMP *(pt - yo      + zo) &&             \
v CMP *(pt + yo + xo + zo) &&             \
v CMP *(pt + yo - xo + zo) &&             \
v CMP *(pt - yo + xo + zo) &&             \
v CMP *(pt - yo - xo + zo) &&             \
\
v CMP *(pt + xo      - zo) &&             \
v CMP *(pt - xo      - zo) &&             \
v CMP *(pt + yo      - zo) &&             \
v CMP *(pt - yo      - zo) &&             \
v CMP *(pt + yo + xo - zo) &&             \
v CMP *(pt + yo - xo - zo) &&             \
v CMP *(pt - yo + xo - zo) &&             \
v CMP *(pt - yo - xo - zo) )

  for (z = 1 ; z < (signed)depth - 1 ; ++z) {
    for (y = 1 ; y < (signed)height - 1 ; ++y) {
      for (x = 1 ; x < (signed)width - 1 ; ++x) {
        float value = *pt ;
        if (CHECK_NEIGHBORS_3(value,>,+) || CHECK_NEIGHBORS_3(value,<,-)) {
          numExtrema ++ ;
          requiredSize += sizeof(vl_index) * 3 ;
          if (*bufferSize < requiredSize) {
            int err = _vl_resize_buffer((void**)extrema, bufferSize,
                                        requiredSize + 2000 * 3 * sizeof(vl_index)) ;
            assert(err == VL_ERR_OK) ;
          }
          (*extrema) [3 * (numExtrema - 1) + 0] = x ;
          (*extrema) [3 * (numExtrema - 1) + 1] = y ;
          (*extrema) [3 * (numExtrema - 1) + 2] = z ;
        }
        pt += xo ;
      }
      pt += 2*xo ;
    }
    pt += 2*yo ;
  }
  return numExtrema ;
}

/** @brief Find extrema in 3D function
 ** @param extrema
 ** @param bufferSize
 ** @param map a 3D array representing the map.
 ** @param width of the map.
 ** @param height of the map.
 ** @param deepth of the map.
 ** @param threshold minumum extremum value.
 ** @return number of extrema found.
 **/

vl_size
vl_find_local_extrema_2 (vl_index ** extrema, vl_size * bufferSize,
                         float const* map,
                         vl_size width, vl_size height,
                         double threshold)
{
  vl_index x, y ;
  vl_size const xo = 1 ;
  vl_size const yo = width ;
  float const *pt = map + xo + yo ;

  vl_size numExtrema = 0 ;
  vl_size requiredSize = 0 ;
#define CHECK_NEIGHBORS_2(v,CMP,SGN)     (\
v CMP ## = SGN threshold &&               \
v CMP *(pt + xo) &&                       \
v CMP *(pt - xo) &&                       \
v CMP *(pt + yo) &&                       \
v CMP *(pt - yo) &&                       \
\
v CMP *(pt + yo + xo) &&                  \
v CMP *(pt + yo - xo) &&                  \
v CMP *(pt - yo + xo) &&                  \
v CMP *(pt - yo - xo) )

  for (y = 1 ; y < (signed)height - 1 ; ++y) {
    for (x = 1 ; x < (signed)width - 1 ; ++x) {
      float value = *pt ;
      if (CHECK_NEIGHBORS_2(value,>,+) || CHECK_NEIGHBORS_2(value,<,-)) {
        numExtrema ++ ;
        requiredSize += sizeof(vl_index) * 2 ;
        if (*bufferSize < requiredSize) {
          int err = _vl_resize_buffer((void**)extrema, bufferSize,
                                      requiredSize + 2000 * 2 * sizeof(vl_index)) ;
          assert(err == VL_ERR_OK) ;
        }
        (*extrema) [2 * (numExtrema - 1) + 0] = x ;
        (*extrema) [2 * (numExtrema - 1) + 1] = y ;
      }
      pt += xo ;
    }
    pt += 2*xo ;
  }
  return numExtrema ;
}

/** @brief Refine extrema in 3D function
 ** @param refined refined extrema.
 ** @param map a 3D array representing the map.
 ** @param width of the map.
 ** @param height of the map.
 ** @param deepth of the map.
 ** @param x
 ** @param y
 ** @param z
 ** @return extrema refinement was stable.
 **/

VL_EXPORT vl_bool
vl_refine_local_extreum_3 (VlCovDetExtremum3 * refined,
                           float const * map,
                           vl_size width, vl_size height, vl_size depth,
                           vl_index x, vl_index y, vl_index z)
{
  vl_size const xo = 1 ;
  vl_size const yo = width ;
  vl_size const zo = width * height ;

  double Dx=0,Dy=0,Dz=0,Dxx=0,Dyy=0,Dzz=0,Dxy=0,Dxz=0,Dyz=0 ;
  double A [3*3], b [3] ;

#define at(dx,dy,dz) (*(pt + (dx)*xo + (dy)*yo + (dz)*zo))
#define Aat(i,j) (A[(i)+(j)*3])

  float const * pt ;
  vl_index dx = 0 ;
  vl_index dy = 0 ;
  /*vl_index dz = 0 ;*/
  vl_index iter ;
  int err ;

  assert (map) ;
  assert (1 <= x && x <= (signed)width - 2) ;
  assert (1 <= y && y <= (signed)height - 2) ;
  assert (1 <= z && z <= (signed)depth - 2) ;

  for (iter = 0 ; iter < 5 ; ++iter) {
    x += dx ;
    y += dy ;
    pt = map + x*xo + y*yo + z*zo ;

    /* compute the gradient */
    Dx = 0.5 * (at(+1,0,0) - at(-1,0,0)) ;
    Dy = 0.5 * (at(0,+1,0) - at(0,-1,0));
    Dz = 0.5 * (at(0,0,+1) - at(0,0,-1)) ;

    /* compute the Hessian */
    Dxx = (at(+1,0,0) + at(-1,0,0) - 2.0 * at(0,0,0)) ;
    Dyy = (at(0,+1,0) + at(0,-1,0) - 2.0 * at(0,0,0)) ;
    Dzz = (at(0,0,+1) + at(0,0,-1) - 2.0 * at(0,0,0)) ;

    Dxy = 0.25 * (at(+1,+1,0) + at(-1,-1,0) - at(-1,+1,0) - at(+1,-1,0)) ;
    Dxz = 0.25 * (at(+1,0,+1) + at(-1,0,-1) - at(-1,0,+1) - at(+1,0,-1)) ;
    Dyz = 0.25 * (at(0,+1,+1) + at(0,-1,-1) - at(0,-1,+1) - at(0,+1,-1)) ;

    /* solve linear system */
    Aat(0,0) = Dxx ;
    Aat(1,1) = Dyy ;
    Aat(2,2) = Dzz ;
    Aat(0,1) = Aat(1,0) = Dxy ;
    Aat(0,2) = Aat(2,0) = Dxz ;
    Aat(1,2) = Aat(2,1) = Dyz ;

    b[0] = - Dx ;
    b[1] = - Dy ;
    b[2] = - Dz ;

    err = vl_solve_linear_system_3(b, A, b) ;

    if (err != VL_ERR_OK) {
      b[0] = 0 ;
      b[1] = 0 ;
      b[2] = 0 ;
      break ;
    }

    /* Keep going if there is sufficient translation */

    dx = (b[0] > 0.6 && x < (signed)width - 2 ?  1 : 0)
    + (b[0] < -0.6 && x > 1 ? -1 : 0) ;

    dy = (b[1] > 0.6 && y < (signed)height - 2 ?  1 : 0)
    + (b[1] < -0.6 && y > 1 ? -1 : 0) ;

    if (dx == 0 && dy == 0) break ;
  }

  /* check threshold and other conditions */
  {
    double peakScore = at(0,0,0)
    + 0.5 * (Dx * b[0] + Dy * b[1] + Dz * b[2]) ;
    double alpha = (Dxx+Dyy)*(Dxx+Dyy) / (Dxx*Dyy - Dxy*Dxy) ;
    double edgeScore ;

    if (alpha < 0) {
      /* not an extremum */
      edgeScore = VL_INFINITY_D ;
    } else {
      edgeScore = (0.5*alpha - 1) + sqrt(VL_MAX(0.25*alpha - 1,0)*alpha) ;
    }

    refined->xi = x ;
    refined->yi = y ;
    refined->zi = z ;
    refined->x = x + b[0] ;
    refined->y = y + b[1] ;
    refined->z = z + b[2] ;
    refined->peakScore = peakScore ;
    refined->edgeScore = edgeScore ;

    return
    err == VL_ERR_OK &&
    vl_abs_d(b[0]) < 1.5 &&
    vl_abs_d(b[1]) < 1.5 &&
    vl_abs_d(b[2]) < 1.5 &&
    0 <= refined->x && refined->x <= (signed)width - 1 &&
    0 <= refined->y && refined->y <= (signed)height - 1 &&
    0 <= refined->z && refined->z <= (signed)depth - 1 ;
  }
#undef Aat
#undef at
}

/** @brief Refine extrema in 3D function
 ** @param refined refined extrema.
 ** @param map a 3D array representing the map.
 ** @param width of the map.
 ** @param height of the map.
 ** @param deepth of the map.
 ** @param x
 ** @param y
 ** @param z
 ** @return extrema refinement was stable.
 **/

VL_EXPORT vl_bool
vl_refine_local_extreum_2 (VlCovDetExtremum2 * refined,
                           float const * map,
                           vl_size width, vl_size height,
                           vl_index x, vl_index y)
{
  vl_size const xo = 1 ;
  vl_size const yo = width ;

  double Dx=0,Dy=0,Dxx=0,Dyy=0,Dxy=0;
  double A [2*2], b [2] ;

#define at(dx,dy) (*(pt + (dx)*xo + (dy)*yo ))
#define Aat(i,j) (A[(i)+(j)*2])

  float const * pt ;
  vl_index dx = 0 ;
  vl_index dy = 0 ;
  vl_index iter ;
  int err ;

  assert (map) ;
  assert (1 <= x && x <= (signed)width - 2) ;
  assert (1 <= y && y <= (signed)height - 2) ;

  for (iter = 0 ; iter < 5 ; ++iter) {
    x += dx ;
    y += dy ;
    pt = map + x*xo + y*yo  ;

    /* compute the gradient */
    Dx = 0.5 * (at(+1,0) - at(-1,0)) ;
    Dy = 0.5 * (at(0,+1) - at(0,-1));

    /* compute the Hessian */
    Dxx = (at(+1,0) + at(-1,0) - 2.0 * at(0,0)) ;
    Dyy = (at(0,+1) + at(0,-1) - 2.0 * at(0,0)) ;
    Dxy = 0.25 * (at(+1,+1) + at(-1,-1) - at(-1,+1) - at(+1,-1)) ;

    /* solve linear system */
    Aat(0,0) = Dxx ;
    Aat(1,1) = Dyy ;
    Aat(0,1) = Aat(1,0) = Dxy ;

    b[0] = - Dx ;
    b[1] = - Dy ;

    err = vl_solve_linear_system_2(b, A, b) ;

    if (err != VL_ERR_OK) {
      b[0] = 0 ;
      b[1] = 0 ;
      break ;
    }

    /* Keep going if there is sufficient translation */

    dx = (b[0] > 0.6 && x < (signed)width - 2 ?  1 : 0)
    + (b[0] < -0.6 && x > 1 ? -1 : 0) ;

    dy = (b[1] > 0.6 && y < (signed)height - 2 ?  1 : 0)
    + (b[1] < -0.6 && y > 1 ? -1 : 0) ;

    if (dx == 0 && dy == 0) break ;
  }

  /* check threshold and other conditions */
  {
    double peakScore = at(0,0) + 0.5 * (Dx * b[0] + Dy * b[1]) ;
    double alpha = (Dxx+Dyy)*(Dxx+Dyy) / (Dxx*Dyy - Dxy*Dxy) ;
    double edgeScore ;

    if (alpha < 0) {
      /* not an extremum */
      edgeScore = VL_INFINITY_D ;
    } else {
      edgeScore = (0.5*alpha - 1) + sqrt(VL_MAX(0.25*alpha - 1,0)*alpha) ;
    }

    refined->xi = x ;
    refined->yi = y ;
    refined->x = x + b[0] ;
    refined->y = y + b[1] ;
    refined->peakScore = peakScore ;
    refined->edgeScore = edgeScore ;

    return
    err == VL_ERR_OK &&
    vl_abs_d(b[0]) < 1.5 &&
    vl_abs_d(b[1]) < 1.5 &&
    0 <= refined->x && refined->x <= (signed)width - 1 &&
    0 <= refined->y && refined->y <= (signed)height - 1 ;
  }
#undef Aat
#undef at
}

/* ---------------------------------------------------------------- */
/*                                                Covarant detector */
/* ---------------------------------------------------------------- */

#define VL_COVDET_MAX_NUM_ORIENTATIONS 4
#define VL_COVDET_MAX_NUM_LAPLACIAN_SCALES 4
#define VL_COVDET_AA_PATCH_RESOLUTION 20
#define VL_COVDET_AA_MAX_NUM_ITERATIONS 15
#define VL_COVDET_OR_NUM_ORIENTATION_HISTOGAM_BINS 36
#define VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA 3
#define VL_COVDET_AA_RELATIVE_DERIVATIVE_SIGMA 1
#define VL_COVDET_AA_MAX_ANISOTROPY 5
#define VL_COVDET_AA_CONVERGENCE_THRESHOLD 1.001
#define VL_COVDET_AA_ACCURATE_SMOOTHING VL_FALSE
#define VL_COVDET_AA_PATCH_EXTENT (3*VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA)
#define VL_COVDET_OR_ADDITIONAL_PEAKS_RELATIVE_SIZE 0.8
#define VL_COVDET_LAP_NUM_LEVELS 10
#define VL_COVDET_LAP_PATCH_RESOLUTION 16
#define VL_COVDET_DOG_DEF_PEAK_THRESHOLD 0.01
#define VL_COVDET_DOG_DEF_EDGE_THRESHOLD 10.0
#define VL_COVDET_HARRIS_DEF_PEAK_THRESHOLD 0.000002
#define VL_COVDET_HARRIS_DEF_EDGE_THRESHOLD 10.0
#define VL_COVDET_HESSIAN_DEF_PEAK_THRESHOLD 0.003
#define VL_COVDET_HESSIAN_DEF_EDGE_THRESHOLD 10.0

/** @brief Covariant feature detector */
struct _VlCovDet
{
  VlScaleSpace *gss ;        /**< Gaussian scale space. */
  VlScaleSpace *css ;        /**< Cornerness scale space. */
  VlCovDetMethod method ;    /**< feature extraction method. */
  double peakThreshold ;     /**< peak threshold. */
  double edgeThreshold ;     /**< edge threshold. */
  vl_size octaveResolution ; /**< resolution of each octave. */
  vl_index firstOctave ;     /**< index of the first octave. */

  double nonExtremaSuppression ;
  vl_size numNonExtremaSuppressed ;

  VlCovDetFeature *features ;
  vl_size numFeatures ;
  vl_size numFeatureBufferSize ;

  float * patch ;
  vl_size patchBufferSize ;

  vl_bool transposed ;
  VlCovDetFeatureOrientation orientations [VL_COVDET_MAX_NUM_ORIENTATIONS] ;
  VlCovDetFeatureLaplacianScale scales [VL_COVDET_MAX_NUM_LAPLACIAN_SCALES] ;

  vl_bool aaAccurateSmoothing ;
  float aaPatch [(2*VL_COVDET_AA_PATCH_RESOLUTION+1)*(2*VL_COVDET_AA_PATCH_RESOLUTION+1)] ;
  float aaPatchX [(2*VL_COVDET_AA_PATCH_RESOLUTION+1)*(2*VL_COVDET_AA_PATCH_RESOLUTION+1)] ;
  float aaPatchY [(2*VL_COVDET_AA_PATCH_RESOLUTION+1)*(2*VL_COVDET_AA_PATCH_RESOLUTION+1)] ;
  float aaMask [(2*VL_COVDET_AA_PATCH_RESOLUTION+1)*(2*VL_COVDET_AA_PATCH_RESOLUTION+1)] ;

  float lapPatch [(2*VL_COVDET_LAP_PATCH_RESOLUTION+1)*(2*VL_COVDET_LAP_PATCH_RESOLUTION+1)] ;
  float laplacians [(2*VL_COVDET_LAP_PATCH_RESOLUTION+1)*(2*VL_COVDET_LAP_PATCH_RESOLUTION+1)*VL_COVDET_LAP_NUM_LEVELS] ;
  vl_size numFeaturesWithNumScales [VL_COVDET_MAX_NUM_LAPLACIAN_SCALES + 1] ;
}  ;

VlEnumerator vlCovdetMethods [VL_COVDET_METHOD_NUM] = {
  {"DoG" ,              (vl_index)VL_COVDET_METHOD_DOG               },
  {"Hessian",           (vl_index)VL_COVDET_METHOD_HESSIAN           },
  {"HessianLaplace",    (vl_index)VL_COVDET_METHOD_HESSIAN_LAPLACE   },
  {"HarrisLaplace",     (vl_index)VL_COVDET_METHOD_HARRIS_LAPLACE    },
  {"MultiscaleHessian", (vl_index)VL_COVDET_METHOD_MULTISCALE_HESSIAN},
  {"MultiscaleHarris",  (vl_index)VL_COVDET_METHOD_MULTISCALE_HARRIS },
  {0,                   0                                            }
} ;

/** @brief Create a new object instance
 ** @param method method for covariant feature detection.
 ** @return new covariant detector.
 **/

VlCovDet *
vl_covdet_new (VlCovDetMethod method)
{
  VlCovDet * self = vl_calloc(sizeof(VlCovDet),1) ;
  self->method = method ;
  self->octaveResolution = 3 ;
  self->firstOctave = -1 ;
  switch (self->method) {
    case VL_COVDET_METHOD_DOG :
      self->peakThreshold = VL_COVDET_DOG_DEF_PEAK_THRESHOLD ;
      self->edgeThreshold = VL_COVDET_DOG_DEF_EDGE_THRESHOLD ;
      break ;
    case VL_COVDET_METHOD_HARRIS_LAPLACE:
    case VL_COVDET_METHOD_MULTISCALE_HARRIS:
      self->peakThreshold = VL_COVDET_HARRIS_DEF_PEAK_THRESHOLD ;
      self->edgeThreshold = VL_COVDET_HARRIS_DEF_EDGE_THRESHOLD ;
      break ;
    case VL_COVDET_METHOD_HESSIAN :
    case VL_COVDET_METHOD_HESSIAN_LAPLACE:
    case VL_COVDET_METHOD_MULTISCALE_HESSIAN:
      self->peakThreshold = VL_COVDET_HESSIAN_DEF_PEAK_THRESHOLD ;
      self->edgeThreshold = VL_COVDET_HESSIAN_DEF_EDGE_THRESHOLD ;
      break;
    default:
      assert(0) ;
  }

  self->nonExtremaSuppression = 0.5 ;
  self->features = NULL ;
  self->numFeatures = 0 ;
  self->numFeatureBufferSize = 0 ;
  self->patch = NULL ;
  self->patchBufferSize = 0 ;
  self->transposed = VL_FALSE ;
  self->aaAccurateSmoothing = VL_COVDET_AA_ACCURATE_SMOOTHING ;

  {
    vl_index const w = VL_COVDET_AA_PATCH_RESOLUTION ;
    vl_index i,j ;
    double step = (2.0 * VL_COVDET_AA_PATCH_EXTENT) / (2*w+1) ;
    double sigma = VL_COVDET_AA_RELATIVE_INTEGRATION_SIGMA ;
    for (j = -w ; j <= w ; ++j) {
      for (i = -w ; i <= w ; ++i) {
        double dx = i*step/sigma ;
        double dy = j*step/sigma ;
        self->aaMask[(i+w) + (2*w+1)*(j+w)] = exp(-0.5*(dx*dx+dy*dy)) ;
      }
    }
  }

  {
    /*
     Covers one octave of Laplacian filters, from sigma=1 to sigma=2.
     The spatial sampling step is 0.5.
     */
    vl_index s ;
    for (s = 0 ; s < VL_COVDET_LAP_NUM_LEVELS ; ++s) {
      double sigmaLap = pow(2.0, -0.5 +
                            (double)s / (VL_COVDET_LAP_NUM_LEVELS - 1)) ;
      double const sigmaImage = 1.0 / sqrt(2.0) ;
      double const step = 0.5 * sigmaImage ;
      double const sigmaDelta = sqrt(sigmaLap*sigmaLap - sigmaImage*sigmaImage) ;
      vl_size const w = VL_COVDET_LAP_PATCH_RESOLUTION ;
      vl_size const num = 2 * w + 1  ;
      float * pt = self->laplacians + s * (num * num) ;

      memset(pt, 0, num * num * sizeof(float)) ;

#define at(x,y) pt[(x+w)+(y+w)*(2*w+1)]
      at(0,0) = - 4.0 ;
      at(-1,0) = 1.0 ;
      at(+1,0) = 1.0 ;
      at(0,1) = 1.0 ;
      at(0,-1) = 1.0 ;
#undef at

      vl_imsmooth_f(pt, num,
                    pt, num, num, num,
                    sigmaDelta / step, sigmaDelta / step) ;

#if 0
      {
        char name [200] ;
        snprintf(name, 200, "/tmp/%f-lap.pgm", sigmaDelta) ;
        vl_pgm_write_f(name, pt, num, num) ;
      }
#endif

    }
  }
  return self ;
}


/** @brief Reset object
 ** @param self object.
 **
 ** This function removes any buffered features and frees other
 ** internal buffers.
 **/

void
vl_covdet_reset (VlCovDet * self)
{
  if (self->features) {
    vl_free(self->features) ;
    self->features = NULL ;
  }
  if (self->css) {
    vl_scalespace_delete(self->css) ;
    self->css = NULL ;
  }
  if (self->gss) {
    vl_scalespace_delete(self->gss) ;
    self->gss = NULL ;
  }
}

/** @brief Delete object instance
 ** @param self object.
 **/

void
vl_covdet_delete (VlCovDet * self)
{
  vl_covdet_reset(self) ;
  if (self->patch) vl_free (self->patch) ;
  vl_free(self) ;
}

/** @brief Append a feature to the internal buffer.
 ** @param self object.
 ** @param feature a pointer to the feature to append.
 ** @return status.
 **
 ** The feature is copied. The function may fail with @c status
 ** equal to ::VL_ERR_ALLOC if there is insufficient memory.
 **/

int
vl_covdet_append_feature (VlCovDet * self, VlCovDetFeature const * feature)
{
  vl_size requiredSize ;
  assert(self) ;
  assert(feature) ;
  self->numFeatures ++ ;
  requiredSize = self->numFeatures * sizeof(VlCovDetFeature) ;
  if (requiredSize > self->numFeatureBufferSize) {
    int err = _vl_resize_buffer((void**)&self->features, &self->numFeatureBufferSize,
                                (self->numFeatures + 1000) * sizeof(VlCovDetFeature)) ;
    if (err) {
      self->numFeatures -- ;
      return err ;
    }
  }
  self->features[self->numFeatures - 1] = *feature ;
  return VL_ERR_OK ;
}

/* ---------------------------------------------------------------- */
/*                                              Process a new image */
/* ---------------------------------------------------------------- */

/** @brief Detect features in an image
 ** @param self object.
 ** @param image image to process.
 ** @param width image width.
 ** @param height image height.
 ** @return status.
 **
 ** The function may fail with ::VL_ERR_ALLOC if memory is insufficient.
 **/

int
vl_covdet_put_image (VlCovDet * self,
                     float const * image,
                     vl_size width, vl_size height)
{
  vl_size const minOctaveSize = 16 ;
  vl_index lastOctave ;
  vl_index octaveFirstSubdivision ;
  vl_index octaveLastSubdivision ;
  vl_bool gssReady = VL_FALSE ;

  assert (self) ;
  assert (image) ;
  assert (width >= 1) ;
  assert (height >= 1) ;

  /* (minOctaveSize - 1) 2^lastOctave <= min(width,height) - 1 */
  lastOctave = vl_floor_d(vl_log2_d(VL_MIN((double)width-1,(double)height-1) / (minOctaveSize - 1))) ;

  if (self->method == VL_COVDET_METHOD_DOG) {
    octaveFirstSubdivision = -2 ;
    octaveLastSubdivision = self->octaveResolution ;
  } else if (self->method == VL_COVDET_METHOD_HESSIAN) {
    octaveFirstSubdivision = -1 ;
    octaveLastSubdivision = self->octaveResolution ;
  } else {
    octaveFirstSubdivision = 0 ;
    octaveLastSubdivision = self->octaveResolution - 1 ;
  }

  if (self->gss) {
    VlScaleSpaceGeometry geom = vl_scalespace_get_geometry (self->gss);
    gssReady =
    geom.width == width &&
    geom.height == height &&
    geom.firstOctave == self->firstOctave &&
    geom.lastOctave == lastOctave &&
    geom.octaveResolution == self->octaveResolution &&
    geom.octaveFirstSubdivision == octaveFirstSubdivision &&
    geom.octaveLastSubdivision == octaveLastSubdivision ;
  }

  /* see if the gss must be re-allocated */
  if (! gssReady) {
    if (self->gss) vl_scalespace_delete(self->gss) ;
    self->gss = vl_scalespace_new(width, height,
                                  lastOctave - self->firstOctave + 1,
                                  self->firstOctave,
                                  self->octaveResolution,
                                  octaveFirstSubdivision, octaveLastSubdivision) ;
    if (self->gss == NULL) return VL_ERR_ALLOC ;
  }
  vl_scalespace_put_image(self->gss, image) ;
  return VL_ERR_OK ;
}

/* ---------------------------------------------------------------- */
/*                                              Cornerness measures */
/* ---------------------------------------------------------------- */

/** @brief Scaled derminant of the Hessian filter
 ** @param hessian output image.
 ** @param image input image.
 ** @param width image width.
 ** @param height image height.
 ** @param step image sampling step (pixel size).
 ** @param sigma Gaussian smoothing of the input image.
 **/

static void
_vl_det_hessian_response (float * hessian,
                          float const * image,
                          vl_size width, vl_size height,
                          double step, double sigma)
{
  float factor = (float) pow(sigma/step, 4.0) ;
  vl_index const xo = 1 ; /* x-stride */
  vl_index const yo = width;  /* y-stride */
  vl_size r, c;

  float p11, p12, p13, p21, p22, p23, p31, p32, p33;

  /* setup input pointer to be centered at 0,1 */
  float const *in = image + yo ;

  /* setup output pointer to be centered at 1,1 */
  float *out = hessian + xo + yo;

  /* move 3x3 window and convolve */
  for (r = 1; r < height - 1; ++r)
  {
    /* fill in shift registers at the beginning of the row */
    p11 = in[-yo]; p12 = in[xo - yo];
    p21 = in[  0]; p22 = in[xo     ];
    p31 = in[+yo]; p32 = in[xo + yo];
    /* setup input pointer to (2,1) of the 3x3 square */
    in += 2;
    for (c = 1; c < width - 1; ++c)
    {
      float Lxx, Lyy, Lxy;
      /* fetch remaining values (last column) */
      p13 = in[-yo]; p23 = *in; p33 = in[+yo];

      /* Compute 3x3 Hessian values from pixel differences. */
      Lxx = (-p21 + 2*p22 - p23);
      Lyy = (-p12 + 2*p22 - p32);
      Lxy = ((p11 - p31 - p13 + p33)/4.0f);

      /* normalize and write out */
      *out = (Lxx * Lyy - Lxy * Lxy) * factor ;

      /* move window */
      p11=p12; p12=p13;
      p21=p22; p22=p23;
      p31=p32; p32=p33;

      /* move input/output pointers */
      in++; out++;
    }
    out += 2;
  }

  /* Copy the computed values to borders */
  in = hessian + yo + xo ;
  out = hessian + xo ;

  /* Top row without corners */
  memcpy(out, in, (width - 2)*sizeof(float));
  out--;
  in -= yo;

  /* Left border columns without last row */
  for (r = 0; r < height - 1; r++){
    *out = *in;
    *(out + yo - 1) = *(in + yo - 3);
    in += yo;
    out += yo;
  }

  /* Bottom corners */
  in -= yo;
  *out = *in;
  *(out + yo - 1) = *(in + yo - 3);

  /* Bottom row without corners */
  out++;
  memcpy(out, in, (width - 2)*sizeof(float));
}

/** @brief Scale-normalised Harris response
 ** @param harris output image.
 ** @param image input image.
 ** @param width image width.
 ** @param height image height.
 ** @param step image sampling step (pixel size).
 ** @param sigma Gaussian smoothing of the input image.
 ** @param sigmaI integration scale.
 ** @param alpha factor in the definition of the Harris score.
 **/

static void
_vl_harris_response (float * harris,
                     float const * image,
                     vl_size width, vl_size height,
                     double step, double sigma,
                     double sigmaI, double alpha)
{
  float factor = (float) pow(sigma/step, 4.0) ;
  vl_index k ;

  float * LxLx ;
  float * LyLy ;
  float * LxLy ;

  LxLx = vl_malloc(sizeof(float) * width * height) ;
  LyLy = vl_malloc(sizeof(float) * width * height) ;
  LxLy = vl_malloc(sizeof(float) * width * height) ;

  vl_imgradient_f (LxLx, LyLy, 1, width, image, width, height, width) ;

  for (k = 0 ; k < (signed)(width * height) ; ++k) {
    float dx = LxLx[k] ;
    float dy = LyLy[k] ;
    LxLx[k] = dx*dx ;
    LyLy[k] = dy*dy ;
    LxLy[k] = dx*dy ;
  }

  vl_imsmooth_f(LxLx, width, LxLx, width, height, width,
                sigmaI / step, sigmaI / step) ;

  vl_imsmooth_f(LyLy, width, LyLy, width, height, width,
                sigmaI / step, sigmaI / step) ;

  vl_imsmooth_f(LxLy, width, LxLy, width, height, width,
                sigmaI / step, sigmaI / step) ;

  for (k = 0 ; k < (signed)(width * height) ; ++k) {
    float a = LxLx[k] ;
    float b = LyLy[k] ;
    float c = LxLy[k] ;

    float determinant = a * b - c * c ;
    float trace = a + b ;

    harris[k] = factor * (determinant - alpha * (trace * trace)) ;
  }

  vl_free(LxLy) ;
  vl_free(LyLy) ;
  vl_free(LxLx) ;
}

/** @brief Difference of Gaussian
 ** @param dog output image.
 ** @param level1 input image at the smaller Gaussian scale.
 ** @param level2 input image at the larger Gaussian scale.
 ** @param width image width.
 ** @param height image height.
 **/

static void
_vl_dog_response (float * dog,
                  float const * level1,
                  float const * level2,
                  vl_size width, vl_size height)
{
  vl_index k ;
  for (k = 0 ; k < (signed)(width*height) ; ++k) {
    dog[k] = level2[k] - level1[k] ;
  }
}

/* ---------------------------------------------------------------- */
/*                                                  Detect features */
/* ---------------------------------------------------------------- */

/** @brief Detect scale-space features
 ** @param method
 ** @return new covariant detector.
 **/

void
vl_covdet_detect (VlCovDet * self)
{
  VlScaleSpaceGeometry geom = vl_scalespace_get_geometry(self->gss) ;
  VlScaleSpaceGeometry cgeom ;
  vl_bool cssReady = VL_FALSE ;
  float * levelxx = NULL ;
  float * levelyy = NULL ;
  float * levelxy = NULL ;
  vl_index o, s ;

  assert (self) ;
  assert (self->gss) ;

  /* clear previous detections if any */
  self->numFeatures = 0 ;

  /* prepare buffers ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
  cgeom = geom ;
  if (self->method == VL_COVDET_METHOD_DOG) {
    cgeom.octaveFirstSubdivision = -1 ;
  }
  if (self->css) {
    VlScaleSpaceGeometry cssGeom = vl_scalespace_get_geometry(self->css) ;
    cssReady =
    cssGeom.width == cgeom.width &&
    cssGeom.height == cgeom.height &&
    cssGeom.firstOctave == cgeom.firstOctave &&
    cssGeom.lastOctave == cgeom.lastOctave &&
    cssGeom.octaveResolution == cgeom.octaveResolution &&
    cssGeom.octaveFirstSubdivision == cgeom.octaveFirstSubdivision &&
    cssGeom.octaveLastSubdivision == cgeom.octaveLastSubdivision ;
  }
  if (! cssReady) {
    if (self->css) vl_scalespace_delete(self->css) ;
    self->css = vl_scalespace_new(cgeom.width, cgeom.height,
                                  cgeom.lastOctave - cgeom.firstOctave + 1,
                                  cgeom.firstOctave,
                                  cgeom.octaveResolution,
                                  cgeom.octaveFirstSubdivision,
                                  cgeom.octaveLastSubdivision) ;
  }
  if (self->method == VL_COVDET_METHOD_HARRIS_LAPLACE ||
      self->method == VL_COVDET_METHOD_MULTISCALE_HARRIS) {
    VlScaleSpaceOctaveGeometry oct = vl_scalespace_get_octave_geometry(self->gss, geom.firstOctave) ;
    levelxx = vl_malloc(oct.width * oct.height * sizeof(float)) ;
    levelyy = vl_malloc(oct.width * oct.height * sizeof(float)) ;
    levelxy = vl_malloc(oct.width * oct.height * sizeof(float)) ;
  }

  /* compute cornerness ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
  for (o = cgeom.firstOctave ; o <= cgeom.lastOctave ; ++o) {
    VlScaleSpaceOctaveGeometry oct = vl_scalespace_get_octave_geometry(self->css, o) ;

    for (s = cgeom.octaveFirstSubdivision ; s <= cgeom.octaveLastSubdivision ; ++s) {
      float * level = vl_scalespace_get_level(self->gss, o, s) ;
      float * clevel = vl_scalespace_get_level(self->css, o, s) ;
      double sigma = vl_scalespace_get_level_sigma(self->css, o, s) ;
      switch (self->method) {
        case VL_COVDET_METHOD_DOG:
          _vl_dog_response(clevel, level,
                           vl_scalespace_get_level(self->gss, o, s - 1),
                           oct.width, oct.height) ;
          break ;

        case VL_COVDET_METHOD_HARRIS_LAPLACE:
        case VL_COVDET_METHOD_MULTISCALE_HARRIS:
          _vl_harris_response(clevel,
                              level, oct.width, oct.height, oct.step,
                              sigma, 1.4 * sigma, 0.05) ;
          break ;

        case VL_COVDET_METHOD_HESSIAN:
        case VL_COVDET_METHOD_HESSIAN_LAPLACE:
        case VL_COVDET_METHOD_MULTISCALE_HESSIAN:
          _vl_det_hessian_response(clevel, level, oct.width, oct.height, oct.step, sigma) ;
          break ;

        default:
          assert(0) ;
      }
    }
  }

  /* find and refine local maxima ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
  {
    vl_index * extrema = NULL ;
    vl_size extremaBufferSize = 0 ;
    vl_size numExtrema ;
    vl_size index ;
    for (o = cgeom.firstOctave ; o <= cgeom.lastOctave ; ++o) {
      VlScaleSpaceOctaveGeometry octgeom = vl_scalespace_get_octave_geometry(self->css, o) ;
      double step = octgeom.step ;
      vl_size width = octgeom.width ;
      vl_size height = octgeom.height ;
      vl_size depth = cgeom.octaveLastSubdivision - cgeom.octaveFirstSubdivision + 1 ;

      switch (self->method) {
        case VL_COVDET_METHOD_DOG:
        case VL_COVDET_METHOD_HESSIAN:
        {
          /* scale-space extrema */
          float const * octave =
          vl_scalespace_get_level(self->css, o, cgeom.octaveFirstSubdivision) ;
          numExtrema = vl_find_local_extrema_3(&extrema, &extremaBufferSize,
                                               octave, width, height, depth,
                                               0.8 * self->peakThreshold);
          for (index = 0 ; index < numExtrema ; ++index) {
            VlCovDetExtremum3 refined ;
            VlCovDetFeature feature ;
            vl_bool ok ;
            memset(&feature, 0, sizeof(feature)) ;
            ok = vl_refine_local_extreum_3(&refined,
                                           octave, width, height, depth,
                                           extrema[3*index+0],
                                           extrema[3*index+1],
                                           extrema[3*index+2]) ;
            ok &= fabs(refined.peakScore) > self->peakThreshold ;
            ok &= refined.edgeScore < self->edgeThreshold ;
            if (ok) {
              double sigma = cgeom.sigma0 *
              pow(2.0, o + (refined.z - cgeom.octaveFirstSubdivision)
                  / cgeom.octaveResolution) ;
              feature.frame.x = refined.x * step ;
              feature.frame.y = refined.y * step ;
              feature.frame.a11 = sigma ;
              feature.frame.a12 = 0.0 ;
              feature.frame.a21 = 0.0 ;
              feature.frame.a22 = sigma ;
              feature.peakScore = refined.peakScore ;
              feature.edgeScore = refined.edgeScore ;
              vl_covdet_append_feature(self, &feature) ;
            }
          }
          break ;
        }

        default:
        {
          for (s = cgeom.octaveFirstSubdivision ; s < cgeom.octaveLastSubdivision ; ++s) {
            /* space extrema */
            float const * level = vl_scalespace_get_level(self->css,o,s) ;
            numExtrema = vl_find_local_extrema_2(&extrema, &extremaBufferSize,
                                                 level,
                                                 width, height,
                                                 0.8 * self->peakThreshold);
            for (index = 0 ; index < numExtrema ; ++index) {
              VlCovDetExtremum2 refined ;
              VlCovDetFeature feature ;
              vl_bool ok ;
              memset(&feature, 0, sizeof(feature)) ;
              ok = vl_refine_local_extreum_2(&refined,
                                             level, width, height,
                                             extrema[2*index+0],
                                             extrema[2*index+1]);
              ok &= fabs(refined.peakScore) > self->peakThreshold ;
              ok &= refined.edgeScore < self->edgeThreshold ;
              if (ok) {
                double sigma = cgeom.sigma0 *
                pow(2.0, o + (double)s / cgeom.octaveResolution) ;
                feature.frame.x = refined.x * step ;
                feature.frame.y = refined.y * step ;
                feature.frame.a11 = sigma ;
                feature.frame.a12 = 0.0 ;
                feature.frame.a21 = 0.0 ;
                feature.frame.a22 = sigma ;
                feature.peakScore = refined.peakScore ;
                feature.edgeScore = refined.edgeScore ;
                vl_covdet_append_feature(self, &feature) ;
              }
            }
          }
          break ;
        }
      }
    } /* next octave */

    if (extrema) { vl_free(extrema) ; extrema = 0 ; }
  }

  /* Laplacian scale selection for certain methods */
  switch (self->method) {
    case VL_COVDET_METHOD_HARRIS_LAPLACE :
    case VL_COVDET_METHOD_HESSIAN_LAPLACE :
      vl_covdet_extract_laplacian_scales (self) ;
      break ;
    default:
      break ;
  }

  if (self->nonExtremaSuppression) {
    vl_index i, j ;
    double tol = self->nonExtremaSuppression ;
    self->numNonExtremaSuppressed = 0 ;
    for (i = 0 ; i < (signed)self->numFeatures ; ++i) {
      double x = self->features[i].frame.x ;
      double y = self->features[i].frame.y ;
      double sigma = self->features[i].frame.a11 ;
      double score = self->features[i].peakScore ;

      for (j = 0 ; j < (signed)self->numFeatures ; ++j) {
        double dx_ = self->features[j].frame.x - x ;
        double dy_ = self->features[j].frame.y - y ;
        double sigma_ = self->features[j].frame.a11 ;
        double score_ = self->features[j].peakScore ;
        if (score_ == 0) continue ;
        if (sigma < (1+tol) * sigma_ &&
            sigma_ < (1+tol) * sigma &&
            vl_abs_d(dx_) < tol * sigma &&
            vl_abs_d(dy_) < tol * sigma &&
            vl_abs_d(score) > vl_abs_d(score_)) {
          self->features[j].peakScore = 0 ;
          self->numNonExtremaSuppressed ++ ;
        }
      }
    }
    j = 0 ;
    for (i = 0 ; i < (signed)self->numFeatures ; ++i) {
      VlCovDetFeature feature = self->features[i] ;
      if (self->features[i].peakScore != 0) {
        self->features[j++] = feature ;
      }
    }
    self->numFeatures = j ;
  }

  if (levelxx) vl_free(levelxx) ;
  if (levelyy) vl_free(levelyy) ;
  if (levelxy) vl_free(levelxy) ;
}

/* ---------------------------------------------------------------- */
/*                                                  Extract patches */
/* ---------------------------------------------------------------- */

/** @brief Helper for extracting patches
 ** @param self object.
 ** @param sigma1 actual patch smoothing along the first axis (out).
 ** @param sigma2 actual patch smoothing along the second axis (out).
 ** @param patch buffer.
 ** @param resolution patch resolution.
 ** @param extent patch extent.
 ** @param sigma desired smoothing in the patch frame.
 ** @param A linear transfomration from patch to image.
 ** @param T translation from patch to image.
 ** @param d1 first singular value @a A.
 ** @param d2 second singular value of @a A.
 **/

vl_bool
vl_covdet_extract_patch_helper (VlCovDet * self,
                                double * sigma1,
                                double * sigma2,
                                float * patch,
                                vl_size resolution,
                                double extent,
                                double sigma,
                                double (A_) [4],
                                double (T_) [2],
                                double d1, double d2)
{
  vl_index o, s ;
  double factor ;
  double sigma_ ;
  float const * level ;
  vl_size width, height ;
  double step ;

  double A [4] = {A_[0], A_[1], A_[2], A_[3]} ;
  double T [2] = {T_[0], T_[1]} ;

  VlScaleSpaceGeometry geom = vl_scalespace_get_geometry(self->gss) ;
  VlScaleSpaceOctaveGeometry oct ;

  /* Starting from a pre-smoothed image at scale sigma_
     because of the mapping A the resulting smoothing in
     the warped patch is S, where

        sigma_^2 I = A S A',

        S = sigma_^2 inv(A) inv(A)' = sigma_^2 V D^-2 V',

        A = U D V'.

     Thus we rotate A by V to obtain an axis-aligned smoothing:

        A = U*D,

        S = sigma_^2 D^-2.

     Then we search the scale-space for the best sigma_ such
     that the target smoothing is approximated from below:

        max sigma_(o,s) :    simga_(o,s) factor <= sigma,
        factor = max{abs(D11), abs(D22)}.
   */


  /*
   Determine the best level (o,s) such that sigma_(o,s) factor <= sigma.
   This can be obtained by scanning octaves from smalles to largest
   and stopping when no level in the octave satisfies the relation.

   Given the range of octave availables, do the best you can.
   */

  factor = 1.0 / VL_MIN(d1, d2) ;

  for (o = geom.firstOctave + 1 ; o <= geom.lastOctave ; ++o) {
    s = vl_floor_d(vl_log2_d(sigma / (factor * geom.sigma0)) - o) ;
    s = VL_MAX(s, geom.octaveFirstSubdivision) ;
    s = VL_MIN(s, geom.octaveLastSubdivision) ;
    sigma_ = geom.sigma0 * pow(2.0, o + (double)s / geom.octaveResolution) ;
    /*VL_PRINTF(".. %d D=%g %g; sigma_=%g factor*sigma_=%g\n", o, d1, d2, sigma_, factor* sigma_) ;*/
    if (factor * sigma_ > sigma) {
      o -- ;
      break ;
    }
  }
  o = VL_MIN(o, geom.lastOctave) ;
  s = vl_floor_d(vl_log2_d(sigma / (factor * geom.sigma0)) - o) ;
  s = VL_MAX(s, geom.octaveFirstSubdivision) ;
  s = VL_MIN(s, geom.octaveLastSubdivision) ;
  sigma_ = geom.sigma0 * pow(2.0, o + (double)s / geom.octaveResolution) ;
  if (sigma1) *sigma1 = sigma_ / d1 ;
  if (sigma2) *sigma2 = sigma_ / d2 ;

  /*VL_PRINTF("%d %d %g %g %g %g\n", o, s, factor, sigma_, factor * sigma_, sigma) ;*/

  /*
   Now the scale space level to be used for this warping has been
   determined.

   If the patch is partially or completely out of the image boundary,
   create a padded copy of the required region first.
   */

  level = vl_scalespace_get_level(self->gss, o, s) ;
  oct = vl_scalespace_get_octave_geometry(self->gss, o) ;
  width = oct.width ;
  height = oct.height ;
  step = oct.step ;

  A[0] /= step ;
  A[1] /= step ;
  A[2] /= step ;
  A[3] /= step ;
  T[0] /= step ;
  T[1] /= step ;

  {
    /*
     Warp the patch domain [x0hat,y0hat,x1hat,y1hat] to the image domain/
     Obtain a box [x0,y0,x1,y1] enclosing that wrapped box, and then
     an integer vertexes version [x0i, y0i, x1i, y1i], making room
     for one pixel at the boundaty to simplify bilinear interpolation
     later on.
     */
    vl_index x0i, y0i, x1i, y1i ;
    double x0 = +VL_INFINITY_D ;
    double x1 = -VL_INFINITY_D ;
    double y0 = +VL_INFINITY_D ;
    double y1 = -VL_INFINITY_D ;
    double boxx [4] = {extent, extent, -extent, -extent} ;
    double boxy [4] = {-extent, extent, extent, -extent} ;
    int i ;
    for (i = 0 ; i < 4 ; ++i) {
      double x = A[0] * boxx[i] + A[2] * boxy[i] + T[0] ;
      double y = A[1] * boxx[i] + A[3] * boxy[i] + T[1] ;
      x0 = VL_MIN(x0, x) ;
      x1 = VL_MAX(x1, x) ;
      y0 = VL_MIN(y0, y) ;
      y1 = VL_MAX(y1, y) ;
    }

    /* Leave one pixel border for bilinear interpolation. */
    x0i = floor(x0) - 1 ;
    y0i = floor(y0) - 1 ;
    x1i = ceil(x1) + 1 ;
    y1i = ceil(y1) + 1 ;

    /*
     If the box [x0i,y0i,x1i,y1i] is not fully contained in the
     image domain, then create a copy of this region by padding
     the image. The image is extended by continuity.
     */

    if (x0i < 0 || x1i > (signed)width-1 ||
        y0i < 0 || y1i > (signed)height-1) {
      vl_index xi, yi ;

      /* compute the amount of l,r,t,b padding needed to complete the patch */
      vl_index padx0 = VL_MAX(0, - x0i) ;
      vl_index pady0 = VL_MAX(0, - y0i) ;
      vl_index padx1 = VL_MAX(0, x1i - ((signed)width - 1)) ;
      vl_index pady1 = VL_MAX(0, y1i - ((signed)height - 1)) ;

      /* make enough room for the patch */
      vl_index patchWidth = x1i - x0i + 1 ;
      vl_index patchHeight = y1i - y0i + 1 ;
      vl_size patchBufferSize = patchWidth * patchHeight * sizeof(float) ;
      if (patchBufferSize > self->patchBufferSize) {
        int err = _vl_resize_buffer((void**)&self->patch, &self->patchBufferSize, patchBufferSize) ;
        if (err) return vl_set_last_error(VL_ERR_ALLOC, NULL) ;
      }

      if (pady0 < patchHeight - pady1) {
        /* start by filling the central horizontal band */
        for (yi = y0i + pady0 ; yi < y0i + patchHeight - pady1 ; ++ yi) {
          float *dst = self->patch + (yi - y0i) * patchWidth ;
          float const *src = level + yi * width + VL_MIN(VL_MAX(0, x0i),width-1) ;
          for (xi = x0i ; xi < x0i + padx0 ; ++xi) *dst++ = *src ;
          for ( ; xi < x0i + patchWidth - padx1 - 2 ; ++xi) *dst++ = *src++ ;
          for ( ; xi < x0i + patchWidth ; ++xi) *dst++ = *src ;
        }
        /* now extend the central band up and down */
        for (yi = 0 ; yi < pady0 ; ++yi) {
          memcpy(self->patch + yi * patchWidth,
                 self->patch + pady0 * patchWidth,
                 patchWidth * sizeof(float)) ;
        }
        for (yi = patchHeight - pady1 ; yi < patchHeight ; ++yi) {
          memcpy(self->patch + yi * patchWidth,
                 self->patch + (patchHeight - pady1 - 1) * patchWidth,
                 patchWidth * sizeof(float)) ;
        }
      } else {
        /* should be handled better! */
        memset(self->patch, 0, self->patchBufferSize) ;
      }
#if 0
      {
        char name [200] ;
        snprintf(name, 200, "/tmp/%20.0f-ext.pgm", 1e10*vl_get_cpu_time()) ;
        vl_pgm_write_f(name, patch, patchWidth, patchWidth) ;
      }
#endif

      level = self->patch ;
      width = patchWidth ;
      height = patchHeight ;
      T[0] -= x0i ;
      T[1] -= y0i ;
    }
  }

  /*
   Resample by using bilinear interpolation.
   */
  {
    float * pt = patch ;
    double yhat = -extent ;
    vl_index xxi ;
    vl_index yyi ;
    double stephat = extent / resolution ;

    for (yyi = 0 ; yyi < 2 * (signed)resolution + 1 ; ++yyi) {
      double xhat = -extent ;
      double rx = A[2] * yhat + T[0] ;
      double ry = A[3] * yhat + T[1] ;
      for (xxi = 0 ; xxi < 2 * (signed)resolution + 1 ; ++xxi) {
        double x = A[0] * xhat + rx ;
        double y = A[1] * xhat + ry ;
        vl_index xi = vl_floor_d(x) ;
        vl_index yi = vl_floor_d(y) ;
        double i00 = level[yi * width + xi] ;
        double i10 = level[yi * width + xi + 1] ;
        double i01 = level[(yi + 1) * width + xi] ;
        double i11 = level[(yi + 1) * width + xi + 1] ;
        double wx = x - xi ;
        double wy = y - yi ;

        assert(xi >= 0 && xi <= (signed)width - 1) ;
        assert(yi >= 0 && yi <= (signed)height - 1) ;

        *pt++ =
        (1.0 - wy) * ((1.0 - wx) * i00 + wx * i10) +
        wy * ((1.0 - wx) * i01 + wx * i11) ;

        xhat += stephat ;
      }
      yhat += stephat ;
    }
  }
#if 0
    {
      char name [200] ;
      snprintf(name, 200, "/tmp/%20.0f.pgm", 1e10*vl_get_cpu_time()) ;
      vl_pgm_write_f(name, patch, 2*resolution+1, 2*resolution+1) ;
    }
#endif
  return VL_ERR_OK ;
}

/** @brief Helper for extracting patches
 ** @param self object.
 ** @param patch buffer.
 ** @param resolution patch resolution.
 ** @param extent patch extent.
 ** @param sigma desired smoothing in the patch frame.
 ** @param frame feature frame.
 **
 ** The function considers a patch of extent [-extent,extent]
 ** on each side, with a side counting 2*resolution+1 pixels.
 ** In attempts to extract from the scale space a patch
 ** baed on the affine warping specified by @a frame in such a way
 ** that the resulting smoothing of the image is @a sigma (in the
 ** patch frame).
 **
 ** The transformation is specified by the matrices @c A and @c T
 ** embedded in the feature @a frame. Note that this transformation maps
 ** pixels from the patch frame to the image frame.
 **/

vl_bool
vl_covdet_extract_patch_for_frame (VlCovDet * self,
                                   float * patch,
                                   vl_size resolution,
                                   double extent,
                                   double sigma,
                                   VlFrameOrientedEllipse frame)
{
  double A[2*2] = {frame.a11, frame.a21, frame.a12, frame.a22} ;
  double T[2] = {frame.x, frame.y} ;
  double D[4], U[4], V[4] ;

  vl_svd2(D, U, V, A) ;

  return vl_covdet_extract_patch_helper
  (self, NULL, NULL, patch, resolution, extent, sigma, A, T, D[0], D[3]) ;
}

/* ---------------------------------------------------------------- */
/*                                                     Affine shape */
/* ---------------------------------------------------------------- */

/** @brief Extract the affine shape for a feature frame
 ** @param self object.
 ** @param adapted the shape-adapted frame.
 ** @param frame the input frame.
 ** @return ::VL_ERR_OK if affine adaptation is successful.
 **
 ** This function may fail if adaptation is unsuccessful or if
 ** memory is insufficient.
 **/

int
vl_covdet_extract_affine_shape_for_frame (VlCovDet * self,
                                          VlFrameOrientedEllipse * adapted,
                                          VlFrameOrientedEllipse frame)
{
  vl_index iter = 0 ;

  double A [2*2] = {frame.a11, frame.a21, frame.a12, frame.a22} ;
  double T [2] = {frame.x, frame.y} ;
  double U [2*2] ;
  double V [2*2] ;
  double D [2*2] ;
  double M [2*2] ;
  double P [2*2] ;
  double P_ [2*2] ;
  double Q [2*2] ;
  double sigma1, sigma2 ;
  double sigmaD = VL_COVDET_AA_RELATIVE_DERIVATIVE_SIGMA ;
  double factor ;
  double anisotropy ;
  double referenceScale ;
  vl_size const resolution = VL_COVDET_AA_PATCH_RESOLUTION ;
  vl_size const side = 2*VL_COVDET_AA_PATCH_RESOLUTION + 1 ;
  double const extent = VL_COVDET_AA_PATCH_EXTENT ;


  *adapted = frame ;

  while (1) {
    double lxx = 0, lxy = 0, lyy = 0 ;
    vl_index k ;
    int err ;

    /* A = U D V' */
    vl_svd2(D, U, V, A) ;
    anisotropy = VL_MAX(D[0]/D[3], D[3]/D[0]) ;

    /* VL_PRINTF("anisot: %g\n", anisotropy); */

    if (anisotropy > VL_COVDET_AA_MAX_ANISOTROPY) {
      /* diverged, give up with current solution */
      break ;
    }

    /* make sure that the smallest singluar value stays fixed
       after the first iteration */
    if (iter == 0) {
      referenceScale = VL_MIN(D[0], D[3]) ;
      factor = 1.0 ;
    } else {
      factor = referenceScale / VL_MIN(D[0],D[3]) ;
    }

    D[0] *= factor ;
    D[3] *= factor ;

    A[0] = U[0] * D[0] ;
    A[1] = U[1] * D[0] ;
    A[2] = U[2] * D[3] ;
    A[3] = U[3] * D[3] ;

    adapted->a11 = A[0] ;
    adapted->a21 = A[1] ;
    adapted->a12 = A[2] ;
    adapted->a22 = A[3] ;

    if (++iter >= VL_COVDET_AA_MAX_NUM_ITERATIONS) break ;

    err = vl_covdet_extract_patch_helper(self,
                                         &sigma1, &sigma2,
                                         self->aaPatch,
                                         resolution,
                                         extent,
                                         sigmaD,
                                         A, T, D[0], D[3]) ;
    if (err) return err ;

    if (self->aaAccurateSmoothing ) {
      double deltaSigma1 = sqrt(VL_MAX(sigmaD*sigmaD - sigma1*sigma1,0)) ;
      double deltaSigma2 = sqrt(VL_MAX(sigmaD*sigmaD - sigma2*sigma2,0)) ;
      double stephat = extent / resolution ;
      vl_imsmooth_f(self->aaPatch, side,
                    self->aaPatch, side, side, side,
                    deltaSigma1 / stephat, deltaSigma2 / stephat) ;
    }

    /* compute second moment matrix */
    vl_imgradient_f (self->aaPatchX, self->aaPatchY, 1, side,
                     self->aaPatch, side, side, side) ;

    for (k = 0 ; k < (signed)(side*side) ; ++k) {
      double lx = self->aaPatchX[k] ;
      double ly = self->aaPatchY[k] ;
      lxx += lx * lx * self->aaMask[k] ;
      lyy += ly * ly * self->aaMask[k] ;
      lxy += lx * ly * self->aaMask[k] ;
    }
    M[0] = lxx ;
    M[1] = lxy ;
    M[2] = lxy ;
    M[3] = lyy ;

    if (lxx == 0 || lyy == 0) {
      *adapted = frame ;
      break ;
    }

    /* decompose M = P * Q * P' */
    vl_svd2 (Q, P, P_, M) ;

    /*
     Setting A <- A * dA results in M to change approximatively as

     M --> dA'  M dA = dA' P Q P dA

     To make this proportional to the identity, we set

     dA ~= P Q^1/2

     we also make it so the smallest singular value of A is unchanged.
     */

    if (Q[3]/Q[0] < VL_COVDET_AA_CONVERGENCE_THRESHOLD &&
        Q[0]/Q[3] < VL_COVDET_AA_CONVERGENCE_THRESHOLD) {
      break ;
    }

    {
      double Ap [4] ;
      double q0 = sqrt(Q[0]) ;
      double q1 = sqrt(Q[3]) ;
      Ap[0] = (A[0] * P[0] + A[2] * P[1]) / q0 ;
      Ap[1] = (A[1] * P[0] + A[3] * P[1]) / q0 ;
      Ap[2] = (A[0] * P[2] + A[2] * P[3]) / q1 ;
      Ap[3] = (A[1] * P[2] + A[3] * P[3]) / q1 ;
      memcpy(A,Ap,4*sizeof(double)) ;
    }

  } /* next iteration */

  /*
   Make upright.

   Shape adaptation does not estimate rotation. This is fixed by default
   so that a selected axis is not rotated at all (usually this is the
   vertical axis for upright features). To do so, the frame is rotated
   as follows.
   */
  {
    double A [2*2] = {adapted->a11, adapted->a21, adapted->a12, adapted->a22} ;
    double ref [2] ;
    double ref_ [2] ;
    double angle ;
    double angle_ ;
    double dangle ;
    double r1, r2 ;

    if (self->transposed) {
      /* up is the x axis */
      ref[0] = 1 ;
      ref[1] = 0 ;
    } else {
      /* up is the y axis */
      ref[0] = 0 ;
      ref[1] = 1 ;
    }

    vl_solve_linear_system_2 (ref_, A, ref) ;
    angle = atan2(ref[1], ref[0]) ;
    angle_ = atan2(ref_[1], ref_[0]) ;
    dangle = angle_ - angle ;
    r1 = cos(dangle) ;
    r2 = sin(dangle) ;
    adapted->a11 = + A[0] * r1 + A[2] * r2 ;
    adapted->a21 = + A[1] * r1 + A[3] * r2 ;
    adapted->a12 = - A[0] * r2 + A[2] * r1 ;
    adapted->a22 = - A[1] * r2 + A[3] * r1 ;
  }

  return VL_ERR_OK ;
}

/** @brief Extract the affine shape for the stored features
 ** @param self object.
 **
 ** This function may discard features for which no affine
 ** shape can reliably be detected.
 **/

void
vl_covdet_extract_affine_shape (VlCovDet * self)
{
  vl_index i, j = 0 ;
  vl_size numFeatures = vl_covdet_get_num_features(self) ;
  VlCovDetFeature * feature = vl_covdet_get_features(self);
  for (i = 0 ; i < (signed)numFeatures ; ++i) {
    int status ;
    VlFrameOrientedEllipse adapted ;
    status = vl_covdet_extract_affine_shape_for_frame(self, &adapted, feature[i].frame) ;
    if (status == VL_ERR_OK) {
      feature[j] = feature[i] ;
      feature[j].frame = adapted ;
      ++ j ;
    }
  }
  self->numFeatures = j ;
}

/* ---------------------------------------------------------------- */
/*                                                      Orientation */
/* ---------------------------------------------------------------- */

static int
_vl_covdet_compare_orientations_descending (void const * a_,
                                            void const * b_)
{
  VlCovDetFeatureOrientation const * a = a_ ;
  VlCovDetFeatureOrientation const * b = b_ ;
  if (a->score > b->score) return -1 ;
  if (a->score < b->score) return +1 ;
  return 0 ;
}

/** @brief Extract the orientation(s) for a feature frame
 ** @param self object.
 ** @param numOrientations the number of detected orientations.
 ** @return an array of detected orientations with their scores.
 **
 ** The returned array is a matrix of size @f$ 2 \times n @f$
 ** where n is the number of detected orientations.
 **
 ** The function returns @c NULL if memory is insufficient.
 **/

VlCovDetFeatureOrientation *
vl_covdet_extract_orientations_for_frame (VlCovDet * self,
                                          vl_size * numOrientations,
                                          VlFrameOrientedEllipse frame)
{
  int err ;
  vl_index k, i ;
  vl_index iter ;

  double extent = VL_COVDET_AA_PATCH_EXTENT ;
  vl_size resolution = VL_COVDET_AA_PATCH_RESOLUTION ;
  vl_size side = 2 * resolution + 1  ;

  vl_size const numBins = VL_COVDET_OR_NUM_ORIENTATION_HISTOGAM_BINS ;
  double hist [VL_COVDET_OR_NUM_ORIENTATION_HISTOGAM_BINS] ;
  double const binExtent = 2 * VL_PI / VL_COVDET_OR_NUM_ORIENTATION_HISTOGAM_BINS ;
  double const peakRelativeSize = VL_COVDET_OR_ADDITIONAL_PEAKS_RELATIVE_SIZE ;
  double maxPeakValue ;

  double A [2*2] = {frame.a11, frame.a21, frame.a12, frame.a22} ;
  double T [2] = {frame.x, frame.y} ;
  double U [2*2] ;
  double V [2*2] ;
  double D [2*2] ;
  double sigma1, sigma2 ;
  double sigmaD = 1.0 ;
  double theta0 ;

  assert(self);
  assert(numOrientations) ;

  /*
   The goal is to estimate a rotation R(theta) such that the patch given
   by the transformation A R(theta) has the strongest average
   gradient pointing right (or down for transposed conventions).

   To compensate for tha anisotropic smoothing due to warping,
   A is decomposed as A = U D V' and the patch is warped by
   U D only, meaning that the matrix R_(theta) will be estimated instead,
   where:

      A R(theta) = U D V' R(theta) = U D R_(theta)

   such that R(theta) = V R(theta). That is an extra rotation of
   theta0 = atan2(V(2,1),V(1,1)).
   */

  /* axis aligned anisotropic smoothing for easier compensation */
  vl_svd2(D, U, V, A) ;

  A[0] = U[0] * D[0] ;
  A[1] = U[1] * D[0] ;
  A[2] = U[2] * D[3] ;
  A[3] = U[3] * D[3] ;

  theta0 = atan2(V[1],V[0]) ;

  err = vl_covdet_extract_patch_helper(self,
                                       &sigma1, &sigma2,
                                       self->aaPatch,
                                       resolution,
                                       extent,
                                       sigmaD,
                                       A, T, D[0], D[3]) ;

  if (err) {
    *numOrientations = 0 ;
    return NULL ;
  }

  if (1) {
    double deltaSigma1 = sqrt(VL_MAX(sigmaD*sigmaD - sigma1*sigma1,0)) ;
    double deltaSigma2 = sqrt(VL_MAX(sigmaD*sigmaD - sigma2*sigma2,0)) ;
    double stephat = extent / resolution ;
    vl_imsmooth_f(self->aaPatch, side,
                  self->aaPatch, side, side, side,
                  deltaSigma1 / stephat, deltaSigma2 / stephat) ;
  }

  /* histogram of oriented gradients */
  vl_imgradient_polar_f (self->aaPatchX, self->aaPatchY, 1, side,
                         self->aaPatch, side, side, side) ;

  memset (hist, 0, sizeof(double) * numBins) ;

  for (k = 0 ; k < (signed)(side*side) ; ++k) {
    double modulus = self->aaPatchX[k] ;
    double angle = self->aaPatchY[k] ;
    double weight = self->aaMask[k] ;

    double x = angle / binExtent ;
    vl_index bin = vl_floor_d(x) ;
    double w2 = x - bin ;
    double w1 = 1.0 - w2 ;

    hist[(bin + numBins) % numBins] += w1 * (modulus * weight) ;
    hist[(bin + numBins + 1) % numBins] += w2 * (modulus * weight) ;
  }

  /* smooth histogram */
  for (iter = 0; iter < 6; iter ++) {
    double prev = hist [numBins - 1] ;
    double first = hist [0] ;
    vl_index i ;
    for (i = 0; i < (signed)numBins - 1; ++i) {
      double curr = (prev + hist[i] + hist[(i + 1) % numBins]) / 3.0 ;
      prev = hist[i] ;
      hist[i] = curr ;
    }
    hist[i] = (prev + hist[i] + first) / 3.0 ;
  }

  /* find the histogram maximum */
  maxPeakValue = 0 ;
  for (i = 0 ; i < (signed)numBins ; ++i) {
    maxPeakValue = VL_MAX (maxPeakValue, hist[i]) ;
  }

  /* find peaks within 80% from max */
  *numOrientations = 0 ;
  for(i = 0 ; i < (signed)numBins ; ++i) {
    double h0 = hist [i] ;
    double hm = hist [(i - 1 + numBins) % numBins] ;
    double hp = hist [(i + 1 + numBins) % numBins] ;

    /* is this a peak? */
    if (h0 > peakRelativeSize * maxPeakValue && h0 > hm && h0 > hp) {
      /* quadratic interpolation */
      double di = - 0.5 * (hp - hm) / (hp + hm - 2 * h0) ;
      double th = binExtent * (i + di) + theta0 ;
      if (self->transposed) {
        /* the axis to the right is y, measure orientations from this */
        th = th - VL_PI/2 ;
      }
      self->orientations[*numOrientations].angle = th ;
      self->orientations[*numOrientations].score = h0 ;
      *numOrientations += 1 ;
      //VL_PRINTF("%d %g\n", *numOrientations, th) ;

      if (*numOrientations >= VL_COVDET_MAX_NUM_ORIENTATIONS) break ;
    }
  }

  /* sort the oritentations by decreasing scores */
  qsort(self->orientations,
        *numOrientations,
        sizeof(VlCovDetFeatureOrientation),
        _vl_covdet_compare_orientations_descending) ;

  return self->orientations ;
}

/** @brief Extract the orientation(s) for the stored features.
 ** @param self object.
 **
 ** Note that, since more than one orientation can be detected
 ** for each feature, this function may create copies of them,
 ** one for each orientation.
 **/

void
vl_covdet_extract_orientations (VlCovDet * self)
{
  vl_index i, j  ;
  vl_size numFeatures = vl_covdet_get_num_features(self) ;
  for (i = 0 ; i < (signed)numFeatures ; ++i) {
    vl_size numOrientations ;
    VlCovDetFeature feature = self->features[i] ;
    VlCovDetFeatureOrientation* orientations =
    vl_covdet_extract_orientations_for_frame(self, &numOrientations, feature.frame) ;

    for (j = 0 ; j < (signed)numOrientations ; ++j) {
      double A [2*2] = {
        feature.frame.a11,
        feature.frame.a21,
        feature.frame.a12,
        feature.frame.a22} ;
      double r1 = cos(orientations[j].angle) ;
      double r2 = sin(orientations[j].angle) ;
      VlCovDetFeature * oriented ;

      if (j == 0) {
        oriented = & self->features[i] ;
      } else {
        vl_covdet_append_feature(self, &feature) ;
        oriented = & self->features[self->numFeatures -1] ;
      }

      oriented->orientationScore = orientations[j].score ;
      oriented->frame.a11 = + A[0] * r1 + A[2] * r2 ;
      oriented->frame.a21 = + A[1] * r1 + A[3] * r2 ;
      oriented->frame.a12 = - A[0] * r2 + A[2] * r1 ;
      oriented->frame.a22 = - A[1] * r2 + A[3] * r1 ;
    }
  }
}

/* ---------------------------------------------------------------- */
/*                                                 Laplacian scales */
/* ---------------------------------------------------------------- */

/** @brief Extract the Laplacian scale(s) for a feature frame.
 ** @param self object.
 ** @param numScales the number of detected scales.
 ** @return an array of detected scales.
 **
 ** The function returns @c NULL if memory is insufficient.
 **/

VlCovDetFeatureLaplacianScale *
vl_covdet_extract_laplacian_scales_for_frame (VlCovDet * self,
                                              vl_size * numScales,
                                              VlFrameOrientedEllipse frame)
{
  /*
   We try to explore one octave, with the nominal detection scale 1.0
   (in the patch reference frame) in the middle. Thus the goal is to sample
   the response of the tr-Laplacian operator at logarithmically
   spaced scales in 1/sqrt(2), sqrt(2).

   To this end, the patch is warped with a smoothing of at most
   sigmaImage = 1 / sqrt(2) (beginning of the scale), sampled at
   roughly twice the Nyquist frequency (so step = 1 / (2*sqrt(2))).
   This maes it possible to approximate the Laplacian operator at
   that scale by simple finite differences.

   */
  int err ;
  double const sigmaImage = 1.0 / sqrt(2.0) ;
  double const step = 0.5 * sigmaImage ;
  double actualSigmaImage ;
  vl_size const resolution = VL_COVDET_LAP_PATCH_RESOLUTION ;
  vl_size const num = 2 * resolution + 1 ;
  double extent = step * resolution ;
  double scores [VL_COVDET_LAP_NUM_LEVELS] ;
  double factor = 1.0 ;
  float const * pt ;
  vl_index k ;

  double A[2*2] = {frame.a11, frame.a21, frame.a12, frame.a22} ;
  double T[2] = {frame.x, frame.y} ;
  double D[4], U[4], V[4] ;
  double sigma1, sigma2 ;

  assert(self) ;
  assert(numScales) ;

  *numScales = 0 ;

  vl_svd2(D, U, V, A) ;

  err = vl_covdet_extract_patch_helper
  (self, &sigma1, &sigma2, self->lapPatch, resolution, extent, sigmaImage, A, T, D[0], D[3]) ;
  if (err) return NULL ;

  /* the actual smoothing after warping is never the target one */
  if (sigma1 == sigma2) {
    actualSigmaImage = sigma1 ;
  } else {
    /* here we could compensate */
    actualSigmaImage = sqrt(sigma1*sigma2) ;
  }

  /* now multiply by the bank of Laplacians */
  pt = self->laplacians ;
  for (k = 0 ; k < VL_COVDET_LAP_NUM_LEVELS ; ++k) {
    vl_index q ;
    double score = 0 ;
    double sigmaLap = pow(2.0, -0.5 + (double)k / (VL_COVDET_LAP_NUM_LEVELS - 1)) ;
    /* note that the sqrt argument cannot be negative since by construction
     sigmaLap >= sigmaImage */
    sigmaLap = sqrt(sigmaLap*sigmaLap
                    - sigmaImage*sigmaImage
                    + actualSigmaImage*actualSigmaImage) ;

    for (q = 0 ; q < (signed)(num * num) ; ++q) {
      score += (*pt++) * self->lapPatch[q] ;
    }
    scores[k] = score * sigmaLap * sigmaLap ;
  }

  /* find and interpolate maxima */
  for (k = 1 ; k < VL_COVDET_LAP_NUM_LEVELS - 1 ; ++k) {
    double a = scores[k-1] ;
    double b = scores[k] ;
    double c = scores[k+1] ;
    double t = VL_COVDET_DOG_DEF_PEAK_THRESHOLD ;

    if ((b > a && b > c) || (b < a && b < c) && vl_abs_d(b) >= t) {
      double dk = - 0.5 * (c - a) / (c + a - 2 * b) ;
      double s = k + dk ;
      double sigmaLap = pow(2.0, -0.5 + s / (VL_COVDET_LAP_NUM_LEVELS - 1)) ;
      double scale ;
      sigmaLap = sqrt(sigmaLap*sigmaLap
                      - sigmaImage*sigmaImage
                      + actualSigmaImage*actualSigmaImage) ;
      scale = sigmaLap / 1.0 ;
      /*
       VL_PRINTF("** k:%d, s:%f, sigmaLapFilter:%f, sigmaLap%f, scale:%f (%f %f %f)\n",
       k,s,sigmaLapFilter,sigmaLap,scale,a,b,c) ;
       */
      if (*numScales < VL_COVDET_MAX_NUM_LAPLACIAN_SCALES) {
        self->scales[*numScales].scale = scale * factor ;
        self->scales[*numScales].score = b + 0.5 * (c - a) * dk ;
        *numScales += 1 ;
      }
    }
  }
  return self->scales ;
}

/** @brief Extract the Laplacian scales for the stored features
 ** @param self object.
 **
 ** Note that, since more than one orientation can be detected
 ** for each feature, this function may create copies of them,
 ** one for each orientation.
 **/
void
vl_covdet_extract_laplacian_scales (VlCovDet * self)
{
  vl_index i, j  ;
  vl_bool dropFeaturesWithoutScale = VL_TRUE ;
  vl_size numFeatures = vl_covdet_get_num_features(self) ;
  memset(self->numFeaturesWithNumScales, 0,
         sizeof(self->numFeaturesWithNumScales)) ;

  for (i = 0 ; i < (signed)numFeatures ; ++i) {
    vl_size numScales ;
    VlCovDetFeature feature = self->features[i] ;
    VlCovDetFeatureLaplacianScale const * scales =
    vl_covdet_extract_laplacian_scales_for_frame(self, &numScales, feature.frame) ;

    self->numFeaturesWithNumScales[numScales] ++ ;

    if (numScales == 0 && dropFeaturesWithoutScale) {
      self->features[i].peakScore = 0 ;
    }

    for (j = 0 ; j < (signed)numScales ; ++j) {
      VlCovDetFeature * scaled ;

      if (j == 0) {
        scaled = & self->features[i] ;
      } else {
        vl_covdet_append_feature(self, &feature) ;
        scaled = & self->features[self->numFeatures -1] ;
      }

      scaled->laplacianScaleScore = scales[j].score ;
      scaled->frame.a11 *= scales[j].scale ;
      scaled->frame.a21 *= scales[j].scale ;
      scaled->frame.a12 *= scales[j].scale ;
      scaled->frame.a22 *= scales[j].scale ;
    }
  }
  if (dropFeaturesWithoutScale) {
    j = 0 ;
    for (i = 0 ; i < (signed)self->numFeatures ; ++i) {
      VlCovDetFeature feature = self->features[i] ;
      if (feature.peakScore) {
        self->features[j++] = feature ;
      }
    }
    self->numFeatures = j ;
  }

}

/* ---------------------------------------------------------------- */
/*                       Checking that features are inside an image */
/* ---------------------------------------------------------------- */

vl_bool
_vl_covdet_check_frame_inside (VlCovDet * self, VlFrameOrientedEllipse frame, double margin)
{
  double extent = margin ;
  double A [2*2] = {frame.a11, frame.a21, frame.a12, frame.a22} ;
  double T[2] = {frame.x, frame.y} ;
  double x0 = +VL_INFINITY_D ;
  double x1 = -VL_INFINITY_D ;
  double y0 = +VL_INFINITY_D ;
  double y1 = -VL_INFINITY_D ;
  double boxx [4] = {extent, extent, -extent, -extent} ;
  double boxy [4] = {-extent, extent, extent, -extent} ;
  int i ;
  for (i = 0 ; i < 4 ; ++i) {
    double x = A[0] * boxx[i] + A[2] * boxy[i] + T[0] ;
    double y = A[1] * boxx[i] + A[3] * boxy[i] + T[1] ;
    x0 = VL_MIN(x0, x) ;
    x1 = VL_MAX(x1, x) ;
    y0 = VL_MIN(y0, y) ;
    y1 = VL_MAX(y1, y) ;
  }

  return
  0 <= x0 && x1 <= self->gss->geom.width-1 &&
  0 <= y0 && y1 <= self->gss->geom.height-1 ;
}

/** @brief Drop features (partially) outside the image
 ** @param self object.
 ** @param margin geometric marging.
 **
 ** The feature extent is defined by @c maring. A bounding box
 ** in the normalised feature frame containin a circle of radius
 ** @a maring is created and mapped to the image by
 ** the feature frame transformation. Then the feature
 ** is dropped if the bounding box is not contained in the image.
 **
 ** For example, setting @c margin to zero drops a feature only
 ** if its center is not contained.
 **
 ** Typically a valua of @c margin equal to 1 or 2 is used.
 **/

void
vl_covdet_drop_features_outside (VlCovDet * self, double margin)
{
  vl_index i, j = 0 ;
  vl_size numFeatures = vl_covdet_get_num_features(self) ;
  for (i = 0 ; i < (signed)numFeatures ; ++i) {
    vl_bool inside =
    _vl_covdet_check_frame_inside (self, self->features[i].frame, margin) ;
    if (inside) {
      self->features[j] = self->features[i] ;
      ++j ;
    }
  }
  self->numFeatures = j ;
}

/* ---------------------------------------------------------------- */
/*                                              Setters and getters */
/* ---------------------------------------------------------------- */

/* ---------------------------------------------------------------- */
/** @brief Get wether images are passed in transposed
 ** @param self ::VlCovDet object.
 ** @return whether images are transposed.
 **/
vl_bool
vl_covdet_get_transposed (VlCovDet const  * self)
{
  return self->transposed ;
}

/** @brief Set the index of the first octave
 ** @param self ::VlCovDet object.
 ** @param t whether images are transposed.
 **/
void
vl_covdet_set_transposed (VlCovDet * self, vl_bool t)
{
  self->transposed = t ;
}

/* ---------------------------------------------------------------- */
/** @brief Get the edge threshold
 ** @param self ::VlCovDet object.
 ** @return the edge threshold.
 **/
double
vl_covdet_get_edge_threshold (VlCovDet const * self)
{
  return self->edgeThreshold ;
}

/** @brief Set the edge threshold
 ** @param self ::VlCovDet object.
 ** @param the edge threshold.
 **
 ** The edge threshold must be non-negative.
 **/
void
vl_covdet_set_edge_threshold (VlCovDet * self, double edgeThreshold)
{
  assert(edgeThreshold >= 0) ;
  self->edgeThreshold = edgeThreshold ;
}

/* ---------------------------------------------------------------- */
/** @brief Get the peak threshold
 ** @param self ::VlCovDet object.
 ** @return the peak threshold.
 **/
double
vl_covdet_get_peak_threshold (VlCovDet const * self)
{
  return self->peakThreshold ;
}

/** @brief Set the peak threshold
 ** @param self ::VlCovDet object.
 ** @param the peak threshold.
 **
 ** The peak threshold must be non-negative.
 **/
void
vl_covdet_set_peak_threshold (VlCovDet * self, double peakThreshold)
{
  assert(peakThreshold >= 0) ;
  self->peakThreshold = peakThreshold ;
}

/* ---------------------------------------------------------------- */
/** @brief Get the index of the first octave
 ** @param self ::VlCovDet object.
 ** @return index of the first octave.
 **/
vl_index
vl_covdet_get_first_octave (VlCovDet const * self)
{
  return self->firstOctave ;
}

/** @brief Set the index of the first octave
 ** @param self ::VlCovDet object.
 ** @param index of the first octave.
 **
 ** Calling this function resets the detector.
 **/
void
vl_covdet_set_first_octave (VlCovDet * self, vl_index o)
{
  self->firstOctave = o ;
  vl_covdet_reset(self) ;
}

/* ---------------------------------------------------------------- */
/** @brief Get the octave resolution.
 ** @param self ::VlCovDet object.
 ** @return octave resolution.
 **/

vl_size
vl_covdet_get_octave_resolution (VlCovDet const * self)
{
  return self->octaveResolution ;
}

/** @brief Set the octave resolutuon.
 ** @param self ::VlCovDet object.
 ** @param octave resoltuion.
 **
 ** Calling this function resets the detector.
 **/

void
vl_covdet_set_octave_resolution (VlCovDet * self, vl_size r)
{
  self->octaveResolution = r ;
  vl_covdet_reset(self) ;
}

/* ---------------------------------------------------------------- */
/** @brief Get whether affine adaptation uses accurate smoothing.
 ** @param self object.
 ** @return @c true if accurate smoothing is used.
 **/

vl_bool
vl_covdet_get_aa_accurate_smoothing (VlCovDet const * self)
{
  return self->aaAccurateSmoothing ;
}

/** @brief Set whether affine adaptation uses accurate smoothing.
 ** @param self object.
 ** @param x whether accurate smoothing should be usd.
 **/

void
vl_covdet_set_aa_accurate_smoothing (VlCovDet * self, vl_bool x)
{
  self->aaAccurateSmoothing = x ;
}

/* ---------------------------------------------------------------- */
/** @brief Get the non-extrema suppression threshold
 ** @param self object.
 ** @return threshold.
 **/

double
vl_covdet_get_non_extrema_suppression_threshold (VlCovDet const * self)
{
  return self->nonExtremaSuppression ;
}

/** @brief Set the non-extrema suppression threshod
 ** @param self object.
 ** @param x threshold.
 **/

void
vl_covdet_set_non_extrema_suppression_threshold (VlCovDet * self, double x)
{
  self->nonExtremaSuppression = x ;
}

/** @brief Get the number of non-extrema suppressed
 ** @param self object.
 ** @return number.
 **/

vl_size
vl_covdet_get_num_non_extrema_suppressed (VlCovDet const * self)
{
  return self->numNonExtremaSuppressed ;
}


/* ---------------------------------------------------------------- */
/** @brief Get number of stored frames
 ** @return number of frames stored in the detector.
 **/
vl_size
vl_covdet_get_num_features (VlCovDet const * self)
{
  return self->numFeatures ;
}

/** @brief Get the stored frames
 ** @return frames stored in the detector.
 **/
void *
vl_covdet_get_features (VlCovDet * self)
{
  return self->features ;
}

/** @brief Get the Gaussian scale space
 ** @return Gaussian scale space.
 **
 ** A Gaussian scale space exists only after calling ::vl_covdet_put_image.
 ** Otherwise the function returns @c NULL.
 **/

VlScaleSpace *
vl_covdet_get_gss (VlCovDet const * self)
{
  return self->gss ;
}

/** @brief Get the cornerness measure scale space
 ** @return cornerness measure scale space.
 **
 ** A cornerness measure scale space exists only after calling
 ** ::vl_covdet_detect. Otherwise the function returns @c NULL.
 **/

VlScaleSpace *
vl_covdet_get_css (VlCovDet const * self)
{
  return self->css ;
}

/** @brief Get the number of features found with a certain number of scales
 ** @param sellf object.
 ** @param numScales length of the histogram (out).
 ** @return histogram.
 **
 ** Calling this function makes sense only after running a detector
 ** that uses the Laplacian as a secondary measure for scale
 ** detection
 **/

vl_size const *
vl_covdet_get_laplacian_scales_statistics (VlCovDet const * self,
                                           vl_size * numScales)
{
  *numScales = VL_COVDET_MAX_NUM_LAPLACIAN_SCALES ;
  return self->numFeaturesWithNumScales ;
}
vlfeat-0.9.16/vl/covdet.h000066400000000000000000000203351203326130700151460ustar00rootroot00000000000000/** @file covdet.h
 ** @brief Covariant feature detectors (@ref covdet)
 ** @author Karel Lenc
 ** @author Andrea Vedaldi
 ** @author Michal Perdoch
 **/

/*
 Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
 All rights reserved.

 This file is part of the VLFeat library and is made available under
 the terms of the BSD license (see the COPYING file).
 */

#ifndef VL_COVDET_H
#define VL_COVDET_H

#include "generic.h"
#include "stringop.h"
#include "scalespace.h"

#include 

/* ---------------------------------------------------------------- */
/*                                                   Feature Frames */
/* ---------------------------------------------------------------- */

/** @name Feature frames
 ** @{ */

/** @brief Types of feature frames */
typedef enum _VlFrameType {
  VL_FRAMETYPE_DISC = 1,         /**< A disc. */
  VL_FRAMETYPE_ORIENTED_DISC,    /**< An oriented disc. */
  VL_FRAMETYPE_ELLIPSE,          /**< An ellipse. */
  VL_FRAMETYPE_ORIENTED_ELLIPSE, /**< An oriented ellipse. */
  VL_FRAMETYPE_NUM
} VlFrameType ;

/** @brief Names of the frame types */
VL_EXPORT const char* vlFrameNames [VL_FRAMETYPE_NUM] ;

/** @brief Mapping between string values and VlFrameType values */
VL_EXPORT VlEnumerator vlFrameTypes [VL_FRAMETYPE_NUM] ;

/** @brief Disc feature frame */
typedef struct _VlFrameDisc
{
  float x ;     /**< center x-coordinate */
  float y ;     /**< center y-coordinate */
  float sigma ; /**< radius or scale */
} VlFrameDisc ;

/** @brief Oriented disc feature frame
 ** An upright frame has @c angle equal to zero.
 **/
typedef struct _VlFrameOrientedDisc {
  float x ;     /**< center x-coordinate */
  float y ;     /**< center y-coordinate */
  float sigma ; /**< radius or scale */
  float angle ; /**< rotation angle (rad) */
} VlFrameOrientedDisc ;

/** @brief Ellipse feature frame */
typedef struct _VlFrameEllipse {
  float x ;     /**< center x-coordinate */
  float y ;     /**< center y-coordinate */
  float e11 ;   /**< */
  float e12 ;
  float e22 ;
} VlFrameEllipse ;

/** @brief Oriented ellipse feature frame
 ** The affine transformation transforms the ellipse shape into
 ** a circular region. */
typedef struct _VlFrameOrientedEllipse {
  float x ;     /**< center x-coordinate */
  float y ;     /**< center y-coordinate */
  float a11 ;   /**< */
  float a12 ;
  float a21 ;
  float a22 ;
} VlFrameOrientedEllipse;

/** @brief Get the size of a frame structure
 ** @param frameType identifier of the type of frame.
 ** @return size of the corresponding frame structure in bytes.
 **/
VL_INLINE vl_size
vl_get_frame_size (VlFrameType frameType) {
  switch (frameType) {
    case VL_FRAMETYPE_DISC: return sizeof(VlFrameDisc);
    case VL_FRAMETYPE_ORIENTED_DISC: return sizeof(VlFrameOrientedDisc);
    case VL_FRAMETYPE_ELLIPSE: return sizeof(VlFrameEllipse);
    case VL_FRAMETYPE_ORIENTED_ELLIPSE: return sizeof(VlFrameOrientedEllipse);
    default:
      assert(0);
      break;
  }
  return 0;
}

/** @brief Get the size of a frame structure
 ** @param frameType identifier of the type of frame.
 ** @return size of the corresponding frame structure in bytes.
 **/
VL_INLINE VlFrameType
vl_get_frame_type (vl_bool affineAdaptation, vl_bool orientation)
{
  if (affineAdaptation) {
    if (orientation) {
      return VL_FRAMETYPE_ORIENTED_ELLIPSE;
    } else {
      return VL_FRAMETYPE_ELLIPSE;
    }
  } else {
    if (orientation) {
      return VL_FRAMETYPE_ORIENTED_DISC;
    } else {
      return VL_FRAMETYPE_DISC;
    }
  }
}

/* ---------------------------------------------------------------- */
/*                                       Covariant Feature Detector */
/* ---------------------------------------------------------------- */

/** @brief A detected feature */
typedef struct _VlCovDetFeature
{
  VlFrameOrientedEllipse frame ; /**< feature frame. */
  float peakScore ; /**< peak score. */
  float edgeScore ; /**< edge score. */
  float orientationScore ; /**< orientation score. */
  float laplacianScaleScore ; /**< Laplacian scale score. */
} VlCovDetFeature ;

typedef struct _VlCovDetFeatureOrientation
{
  double angle ;
  double score ;
} VlCovDetFeatureOrientation ;

typedef struct _VlCovDetFeatureLaplacianScale
{
  double scale ;
  double score ;
} VlCovDetFeatureLaplacianScale ;

/** @brief Covariant feature detection method */
typedef enum _VlCovDetMethod
{
  VL_COVDET_METHOD_DOG = 1,
  VL_COVDET_METHOD_HESSIAN,
  VL_COVDET_METHOD_HESSIAN_LAPLACE,
  VL_COVDET_METHOD_HARRIS_LAPLACE,
  VL_COVDET_METHOD_MULTISCALE_HESSIAN,
  VL_COVDET_METHOD_MULTISCALE_HARRIS,
  VL_COVDET_METHOD_NUM
} VlCovDetMethod;

/** @brief Mapping between strings and ::VlCovDetMethod values */
VL_EXPORT VlEnumerator vlCovdetMethods [VL_COVDET_METHOD_NUM] ;

typedef struct _VlCovDet VlCovDet ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT VlCovDet * vl_covdet_new (VlCovDetMethod method) ;
VL_EXPORT void vl_covdet_delete (VlCovDet * self) ;
VL_EXPORT void vl_covdet_reset (VlCovDet * self) ;
/** @} */

/** @name Process data
 ** @{
 **/
VL_EXPORT int vl_covdet_put_image (VlCovDet * self,
                                    float const * image,
                                    vl_size width, vl_size height) ;

VL_EXPORT void vl_covdet_detect (VlCovDet * self) ;
VL_EXPORT int vl_covdet_append_feature (VlCovDet * self, VlCovDetFeature const * feature) ;
VL_EXPORT void vl_covdet_extract_orientations (VlCovDet * self) ;
VL_EXPORT void vl_covdet_extract_laplacian_scales (VlCovDet * self) ;
VL_EXPORT void vl_covdet_extract_affine_shape (VlCovDet * self) ;

VL_EXPORT VlCovDetFeatureOrientation *
vl_covdet_extract_orientations_for_frame (VlCovDet * self,
                                          vl_size *numOrientations,
                                          VlFrameOrientedEllipse frame) ;

VL_EXPORT VlCovDetFeatureLaplacianScale *
vl_covdet_extract_laplacian_scales_for_frame (VlCovDet * self,
                                              vl_size * numScales,
                                              VlFrameOrientedEllipse frame) ;
VL_EXPORT int
vl_covdet_extract_affine_shape_for_frame (VlCovDet * self,
                                          VlFrameOrientedEllipse * adapted,
                                          VlFrameOrientedEllipse frame) ;

VL_EXPORT vl_bool
vl_covdet_extract_patch_for_frame (VlCovDet * self, float * patch,
                                   vl_size resolution,
                                   double extent,
                                   double sigma,
                                   VlFrameOrientedEllipse frame) ;

VL_EXPORT void
vl_covdet_drop_features_outside (VlCovDet * self, double margin) ;

/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_EXPORT vl_size vl_covdet_get_num_features (VlCovDet const * self) ;
VL_EXPORT void * vl_covdet_get_features (VlCovDet * self) ;
VL_EXPORT vl_index vl_covdet_get_first_octave (VlCovDet const * self) ;
VL_EXPORT vl_size vl_covdet_get_octave_resolution (VlCovDet const * self) ;
VL_EXPORT double vl_covdet_get_peak_threshold (VlCovDet const * self) ;
VL_EXPORT double vl_covdet_get_edge_threshold (VlCovDet const * self) ;
VL_EXPORT vl_bool vl_covdet_get_transposed (VlCovDet const * self) ;
VL_EXPORT VlScaleSpace *  vl_covdet_get_gss (VlCovDet const * self) ;
VL_EXPORT VlScaleSpace *  vl_covdet_get_css (VlCovDet const * self) ;
VL_EXPORT vl_bool vl_covdet_get_aa_accurate_smoothing (VlCovDet const * self) ;
VL_EXPORT vl_size const * vl_covdet_get_laplacian_scales_statistics (VlCovDet const * self, vl_size * numScales) ;
VL_EXPORT double vl_covdet_get_non_extrema_suppression_threshold (VlCovDet const * self) ;
VL_EXPORT vl_size vl_covdet_get_num_non_extrema_suppressed (VlCovDet const * self) ;

/** @} */

/** @name Set parameters
 ** @{
 **/
VL_EXPORT void vl_covdet_set_first_octave (VlCovDet * self, vl_index o) ;
VL_EXPORT void vl_covdet_set_octave_resolution (VlCovDet * self, vl_size r) ;
VL_EXPORT void vl_covdet_set_peak_threshold (VlCovDet * self, double peakThreshold) ;
VL_EXPORT void vl_covdet_set_edge_threshold (VlCovDet * self, double edgeThreshold) ;
VL_EXPORT void vl_covdet_set_transposed (VlCovDet * self, vl_bool t) ;
VL_EXPORT void vl_covdet_set_aa_accurate_smoothing (VlCovDet * self, vl_bool x) ;
VL_EXPORT void vl_covdet_set_non_extrema_suppression_threshold (VlCovDet * self, double x) ;
/** @} */

/* VL_COVDET_H */
#endif
vlfeat-0.9.16/vl/dsift.c000066400000000000000000000603761203326130700147770ustar00rootroot00000000000000/** @file dsift.c
 ** @brief Dense SIFT - Definition
 ** @author Andrea Vedaldi
 ** @author Brian Fulkerson
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "dsift.h"
#include "pgm.h"
#include "mathop.h"
#include "imopv.h"
#include 
#include 

/**

@page dsift Dense Scale Invariant Feature Transform (DSIFT)
@author Andrea Vedaldi
@author Brian Fulkerson


@ref dsift.h implements a dense version of @ref sift.h "SIFT". This is
an object that can quickly compute descriptors for densely sampled
keypoints with identical size and orientation. It can be reused for
multiple images of the same size.

- @ref dsift-intro
- @ref dsift-usage
- @ref dsift-tech
  - @ref dsift-tech-descriptor-dense
  - @ref dsift-tech-sampling


@section dsift-intro Overview


@sa @ref sift "The SIFT module", @ref dsift-tech "Technical details"

This module implements a fast algorithm for the calculation of a large
number of SIFT descriptors of densely sampled features of the same
scale and orientation. See the @ref sift "SIFT module" for an
overview of SIFT.

The feature frames (keypoints) are indirectly specified by the
sampling steps (::vl_dsift_set_steps) and the sampling bounds
(::vl_dsift_set_bounds).  The descriptor geometry (number and size of
the spatial bins and number of orientation bins) can be customized
(::vl_dsift_set_geometry, ::VlDsiftDescriptorGeometry).

@image html dsift-geom.png "Dense SIFT descriptor geometry"

By default, SIFT uses a Gaussian windowing function that discounts
contributions of gradients further away from the descriptor
centers. This function can be changed to a flat window by invoking
::vl_dsift_set_flat_window. In this case, gradients are accumulated
using only bilinear interpolation, but instad of being reweighted by a
Gassuain window, they are all weighted equally. However, after
gradients have been accumulated into a spatial bin, the whole bin is
reweighted by the average of the Gaussian window over the spatial
support of that bin. This “approximation” substantially
improves speed with little or no loss of performance in applications.

Keypoints are sampled in such a way that the centers of the spatial
bins are at integer coordinates within the image boundaries. For
instance, the top-left bin of the top-left descriptor is centered on
the pixel (0,0). The bin immediately to the right at
(binSizeX,0), where binSizeX is a paramtere
in the ::VlDsiftDescriptorGeometry structure. ::vl_dsift_set_bounds
can be used to further restrict sampling to the keypoints in an image.


 @section dsift-usage Usage


DSIFT is implemented by a ::VlDsiftFilter object that can be used
to process a sequence of images of a given geometry.
To use the DSIFT filter:

- Initialize a new DSIFT filter object by ::vl_dsift_new (or the simplified
::vl_dsift_new_basic). Customize the descriptor parameters by
::vl_dsift_set_steps, ::vl_dsift_set_geometry, etc.
- Process an image by ::vl_dsift_process.
- Retrieve the number of keypoints (::vl_dsift_get_keypoint_num), the
  keypoints (::vl_dsift_get_keypoints), and their descriptors
  (::vl_dsift_get_descriptors).
- Optionally repeat for more images.
- Delete the DSIFT filter by ::vl_dsift_delete.


@section dsift-tech Technical details


This section extends the @ref sift-tech-descriptor "SIFT descriptor section"
and specialzies it to the case of dense keypoints.


@subsection dsift-tech-descriptor-dense Dense descriptors


When computing descriptors for many keypoints differing only by their
position (and with null rotation), further simplifications are
possible. In this case, in fact,

@f{eqnarray*}
     \mathbf{x} &=& m \sigma \hat{\mathbf{x}} + T,\\
 h(t,i,j)
 &=&
 m \sigma \int
 g_{\sigma_\mathrm{win}}(\mathbf{x} - T)\,
 w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta_t)\,
 w\left(\frac{x - T_x}{m\sigma} - \hat{x}_i\right)\,
 w\left(\frac{y - T_y}{m\sigma} - \hat{y}_j\right)\,
 |J(\mathbf{x})|\,
 d\mathbf{x}.
@f}

Since many different values of @e T are sampled, this is conveniently
expressed as a separable convolution. First, we translate by @f$
\mathbf{x}_{ij} = m\sigma(\hat x_i,\ \hat y_i)^\top @f$ and we use the
symmetry of the various binning and windowing functions to write

@f{eqnarray*}
 h(t,i,j)
 &=&
 m \sigma \int
 g_{\sigma_\mathrm{win}}(T' - \mathbf{x} - \mathbf{x}_{ij})\,
 w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta_t)\,
 w\left(\frac{T'_x - x}{m\sigma}\right)\,
 w\left(\frac{T'_y - y}{m\sigma}\right)\,
 |J(\mathbf{x})|\,
 d\mathbf{x},
\\
T' &=& T + m\sigma
\left[\begin{array}{cc} x_i \\ y_j \end{array}\right].
@f}

Then we define kernels

@f{eqnarray*}
 k_i(x) &=&
 \frac{1}{\sqrt{2\pi} \sigma_{\mathrm{win}}}
 \exp\left(
 -\frac{1}{2}
 \frac{(x-x_i)^2}{\sigma_{\mathrm{win}}^2}
 \right)
 w\left(\frac{x}{m\sigma}\right),
 \\
 k_j(y) &=&
 \frac{1}{\sqrt{2\pi} \sigma_{\mathrm{win}}}
 \exp\left(
 -\frac{1}{2}
 \frac{(y-y_j)^2}{\sigma_{\mathrm{win}}^2}
 \right)
 w\left(\frac{y}{m\sigma}\right),
@f}

and obtain

@f{eqnarray*}
 h(t,i,j) &=& (k_ik_j * \bar J_t)\left( T + m\sigma
\left[\begin{array}{cc} x_i \\ y_j \end{array}\right] \right),
\\
\bar J_t(\mathbf{x}) &=&  w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta_t)\,|J(\mathbf{x})|.
@f}

Furthermore, if we use a flat rather than Gaussian windowing function,
the kernels do not depend on the bin, and we have

@f{eqnarray*}
 k(z) &=&
 \frac{1}{\sigma_{\mathrm{win}}}
 w\left(\frac{z}{m\sigma}\right),
\\
 h(t,i,j) &=& (k(x)k(y) * \bar J_t)\left( T + m\sigma
\left[\begin{array}{cc} x_i \\ y_j \end{array}\right] \right),
@f}

(here @f$ \sigma_\mathrm{win} @f$ is the side of the flat window).

@note In this case the binning functions @f$ k(z) @f$ are triangular
and the convolution can be computed in time independent on the filter
(i.e. descriptor bin) support size by integral signals.


@subsection dsift-tech-sampling Sampling


To avoid resampling and dealing with special boundary conditions, we
impose some mild restrictions on the geometry of the descriptors that
can be computed. In particular, we impose that the bin centers @f$ T +
m\sigma (x_i,\ y_j) @f$ are always at integer coordinates within the
image boundaries. This eliminates the need for costly interpolation.
This condition amounts to (expressed in terms of the @e x coordinate,
and equally applicable to @e y)

@f[
 \{0,\dots, W-1\} \ni T_x + m\sigma x_i =
 T_x + m\sigma i - \frac{N_x-1}{2}
 = \bar T_x + m\sigma i,
 \qquad i = 0,\dots,N_x-1.
@f]

Notice that for this condition to be satisfied, the @em descriptor
center @f$ T_x @f$ needs to be either fractional or integer depending
on @f$ N_x @f$ being even or odd. To eliminate this complication,
it is simpler to use as a reference not the descriptor center @e T,
but the coordinates of the upper-left bin @f$ \bar T @f$. Thus we
sample the latter on a regular (integer) grid

@f[
 \left[\begin{array}{cc}
   0 \\
   0
 \end{array}\right]
 \leq
 \bar T =
 \left[\begin{array}{cc}
   \bar T_x^{\min} + p \Delta_x \\
   \bar T_y^{\min} + q \Delta_y \\
 \end{array}\right]
 \leq
 \left[\begin{array}{cc}
   W - 1 - m\sigma N_x \\
   H - 1 - m\sigma N_y
 \end{array}\right],
 \quad
 \bar T =
 \left[\begin{array}{cc}
   T_x - \frac{N_x - 1}{2} \\
   T_y - \frac{N_y - 1}{2} \\
  \end{array}\right]
@f]

and we impose that the bin size @f$ m \sigma @f$ is integer as well.

**/

/** ------------------------------------------------------------------
 ** @internal @brief Initialize new convolution kernel
 ** @param binSize
 ** @param numBins
 ** @param binIndex negative to use flat window.
 ** @param windowSize
 ** @return a pointer to new filter.
 **/

float *
_vl_dsift_new_kernel (int binSize, int numBins, int binIndex, double windowSize)
{
  int filtLen = 2 * binSize - 1 ;
  float * ker = vl_malloc (sizeof(float) * filtLen) ;
  float * kerIter = ker ;
  float delta = binSize * (binIndex - 0.5F * (numBins - 1)) ;
  /*
  float sigma = 0.5F * ((numBins - 1) * binSize + 1) ;
  float sigma = 0.5F * ((numBins) * binSize) ;
  */
  float sigma = (float) binSize * (float) windowSize ;
  int x ;

  for (x = - binSize + 1 ; x <= + binSize - 1 ; ++ x) {
    float z = (x - delta) / sigma ;
    *kerIter++ = (1.0F - fabsf(x) / binSize) *
      ((binIndex >= 0) ? expf(- 0.5F * z*z) : 1.0F) ;
  }
  return ker ;
}

static float
_vl_dsift_get_bin_window_mean
(int binSize, int numBins, int binIndex, double windowSize)
{
  float delta = binSize * (binIndex - 0.5F * (numBins - 1)) ;
  /*float sigma = 0.5F * ((numBins - 1) * binSize + 1) ;*/
  float sigma = (float) binSize * (float) windowSize ;
  int x ;

  float acc = 0.0 ;
  for (x = - binSize + 1 ; x <= + binSize - 1 ; ++ x) {
    float z = (x - delta) / sigma ;
    acc += ((binIndex >= 0) ? expf(- 0.5F * z*z) : 1.0F) ;
  }
  return acc /= (2 * binSize - 1) ;
}

/** ------------------------------------------------------------------
 ** @internal @brief Normalize histogram
 ** @param begin first element of the histogram.
 ** @param end last plus one element of the histogram.
 **
 ** The function divides the specified histogram by its l2 norm.
 **/

VL_INLINE float
_vl_dsift_normalize_histogram (float * begin, float * end)
{
  float * iter ;
  float  norm = 0.0F ;

  for (iter = begin ; iter < end ; ++ iter) {
    norm += (*iter) * (*iter) ;
  }
  norm = vl_fast_sqrt_f (norm) + VL_EPSILON_F ;

  for (iter = begin; iter < end ; ++ iter) {
    *iter /= norm ;
  }
  return norm ;
}

/** ------------------------------------------------------------------
 ** @internal @brief Free internal buffers
 ** @param self DSIFT filter.
 **/

static void
_vl_dsift_free_buffers (VlDsiftFilter* self)
{
  if (self->frames) {
    vl_free(self->frames) ;
    self->frames = NULL ;
  }
  if (self->descrs) {
    vl_free(self->descrs) ;
    self->descrs = NULL ;
  }
  if (self->grads) {
    int t ;
    for (t = 0 ; t < self->numGradAlloc ; ++t)
      if (self->grads[t]) vl_free(self->grads[t]) ;
    vl_free(self->grads) ;
    self->grads = NULL ;
  }
  self->numFrameAlloc = 0 ;
  self->numBinAlloc = 0 ;
  self->numGradAlloc = 0 ;
}

/** ------------------------------------------------------------------
 ** @internal @brief Updates internal buffers to current geometry
 **/

VL_EXPORT void
_vl_dsift_update_buffers (VlDsiftFilter * self)
{
  int x1 = self->boundMinX ;
  int x2 = self->boundMaxX ;
  int y1 = self->boundMinY ;
  int y2 = self->boundMaxY ;

  int rangeX = x2 - x1 - (self->geom.numBinX - 1) * self->geom.binSizeX ;
  int rangeY = y2 - y1 - (self->geom.numBinY - 1) * self->geom.binSizeY ;

  int numFramesX = (rangeX >= 0) ? rangeX / self->stepX + 1 : 0 ;
  int numFramesY = (rangeY >= 0) ? rangeY / self->stepY + 1 : 0 ;

  self->numFrames = numFramesX * numFramesY ;
  self->descrSize = self->geom.numBinT *
                    self->geom.numBinX *
                    self->geom.numBinY ;
}

/** ------------------------------------------------------------------
 ** @internal @brief Allocate internal buffers
 ** @param self DSIFT filter.
 **
 ** The function (re)allocates the internal buffers in accordance with
 ** the current image and descriptor geometry.
 **/

static void
_vl_dsift_alloc_buffers (VlDsiftFilter* self)
{
  _vl_dsift_update_buffers (self) ;
  {
    int numFrameAlloc = vl_dsift_get_keypoint_num (self) ;
    int numBinAlloc   = vl_dsift_get_descriptor_size (self) ;
    int numGradAlloc  = self->geom.numBinT ;

    /* see if we need to update the buffers */
    if (numBinAlloc != self->numBinAlloc ||
        numGradAlloc != self->numGradAlloc ||
        numFrameAlloc != self->numFrameAlloc) {

      int t ;

      _vl_dsift_free_buffers(self) ;

      self->frames = vl_malloc(sizeof(VlDsiftKeypoint) * numFrameAlloc) ;
      self->descrs = vl_malloc(sizeof(float) * numBinAlloc * numFrameAlloc) ;
      self->grads  = vl_malloc(sizeof(float*) * numGradAlloc) ;
      for (t = 0 ; t < numGradAlloc ; ++t) {
        self->grads[t] =
          vl_malloc(sizeof(float) * self->imWidth * self->imHeight) ;
      }
      self->numBinAlloc = numBinAlloc ;
      self->numGradAlloc = numGradAlloc ;
      self->numFrameAlloc = numFrameAlloc ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief Create a new DSIFT filter
 **
 ** @param imWidth width of the image.
 ** @param imHeight height of the image
 **
 ** @return new filter.
 **/

VL_EXPORT VlDsiftFilter *
vl_dsift_new (int imWidth, int imHeight)
{
  VlDsiftFilter * self = vl_malloc (sizeof(VlDsiftFilter)) ;
  self->imWidth  = imWidth ;
  self->imHeight = imHeight ;

  self->stepX = 5 ;
  self->stepY = 5 ;

  self->boundMinX = 0 ;
  self->boundMinY = 0 ;
  self->boundMaxX = imWidth - 1 ;
  self->boundMaxY = imHeight - 1 ;

  self->geom.numBinX = 4 ;
  self->geom.numBinY = 4 ;
  self->geom.numBinT = 8 ;
  self->geom.binSizeX = 5 ;
  self->geom.binSizeY = 5 ;

  self->useFlatWindow = VL_FALSE ;
  self->windowSize = 2.0 ;

  self->convTmp1 = vl_malloc(sizeof(float) * self->imWidth * self->imHeight) ;
  self->convTmp2 = vl_malloc(sizeof(float) * self->imWidth * self->imHeight) ;

  self->numBinAlloc = 0 ;
  self->numFrameAlloc = 0 ;
  self->numGradAlloc = 0 ;

  self->descrSize = 0 ;
  self->numFrames = 0 ;
  self->grads = NULL ;
  self->frames = NULL ;
  self->descrs = NULL ;

  _vl_dsift_update_buffers(self) ;
  return self ;
}

/** ------------------------------------------------------------------
 ** @brief Create a new DSIFT filter (basic interface)
 ** @param imWidth width of the image.
 ** @param imHeight height of the image.
 ** @param step sampling step.
 ** @param binSize bin size.
 ** @return new filter.
 **
 ** The descriptor geometry matches the standard SIFT descriptor.
 **/

VL_EXPORT VlDsiftFilter *
vl_dsift_new_basic (int imWidth, int imHeight, int step, int binSize)
{
  VlDsiftFilter* self = vl_dsift_new(imWidth, imHeight) ;
  VlDsiftDescriptorGeometry geom = *vl_dsift_get_geometry(self) ;
  geom.binSizeX = binSize ;
  geom.binSizeY = binSize ;
  vl_dsift_set_geometry(self, &geom) ;
  vl_dsift_set_steps(self, step, step) ;
  return self ;
}

/** ------------------------------------------------------------------
 ** @brief Delete DSIFT filter
 ** @param self DSIFT filter.
 **/

VL_EXPORT void
vl_dsift_delete (VlDsiftFilter * self)
{
  _vl_dsift_free_buffers (self) ;
  if (self->convTmp2) vl_free (self->convTmp2) ;
  if (self->convTmp1) vl_free (self->convTmp1) ;
  vl_free (self) ;
}


/** ------------------------------------------------------------------
 ** @internal @brief Process with Gaussian window
 ** @param self DSIFT filter.
 **/

VL_INLINE void
_vl_dsift_with_gaussian_window (VlDsiftFilter * self)
{
  int binx, biny, bint ;
  int framex, framey ;
  float *xker, *yker ;

  int Wx = self->geom.binSizeX - 1 ;
  int Wy = self->geom.binSizeY - 1 ;

  for (biny = 0 ; biny < self->geom.numBinY ; ++biny) {

    yker = _vl_dsift_new_kernel (self->geom.binSizeY,
                                 self->geom.numBinY,
                                 biny,
                                 self->windowSize) ;

    for (binx = 0 ; binx < self->geom.numBinX ; ++binx) {

      xker = _vl_dsift_new_kernel(self->geom.binSizeX,
                                  self->geom.numBinX,
                                  binx,
                                  self->windowSize) ;

      for (bint = 0 ; bint < self->geom.numBinT ; ++bint) {

        vl_imconvcol_vf (self->convTmp1, self->imHeight,
                         self->grads[bint], self->imWidth, self->imHeight,
                         self->imWidth,
                         yker, -Wy, +Wy, 1,
                         VL_PAD_BY_CONTINUITY|VL_TRANSPOSE) ;

        vl_imconvcol_vf (self->convTmp2, self->imWidth,
                         self->convTmp1, self->imHeight, self->imWidth,
                         self->imHeight,
                         xker, -Wx, +Wx, 1,
                         VL_PAD_BY_CONTINUITY|VL_TRANSPOSE) ;

        {
          float *dst = self->descrs
            + bint
            + binx * self->geom.numBinT
            + biny * (self->geom.numBinX * self->geom.numBinT)  ;

          float *src = self->convTmp2 ;

          int frameSizeX = self->geom.binSizeX * (self->geom.numBinX - 1) + 1 ;
          int frameSizeY = self->geom.binSizeY * (self->geom.numBinY - 1) + 1 ;
          int descrSize = vl_dsift_get_descriptor_size (self) ;

          for (framey  = self->boundMinY ;
               framey <= self->boundMaxY - frameSizeY + 1 ;
               framey += self->stepY) {
            for (framex  = self->boundMinX ;
                 framex <= self->boundMaxX - frameSizeX + 1 ;
                 framex += self->stepX) {
              *dst = src [(framex + binx * self->geom.binSizeX) * 1 +
                          (framey + biny * self->geom.binSizeY) * self->imWidth]  ;
              dst += descrSize ;
            } /* framex */
          } /* framey */
        }

      } /* for bint */
      vl_free (xker) ;
    } /* for binx */
    vl_free (yker) ;
  } /* for biny */
}

/** ------------------------------------------------------------------
 ** @internal @brief Process with flat window.
 ** @param self DSIFT filter object.
 **/

VL_INLINE void
_vl_dsift_with_flat_window (VlDsiftFilter* self)
{
  int binx, biny, bint ;
  int framex, framey ;

  /* for each orientation bin */
  for (bint = 0 ; bint < self->geom.numBinT ; ++bint) {

    vl_imconvcoltri_f (self->convTmp1, self->imHeight,
                       self->grads [bint], self->imWidth, self->imHeight,
                       self->imWidth,
                       self->geom.binSizeY, /* filt size */
                       1, /* subsampling step */
                       VL_PAD_BY_CONTINUITY|VL_TRANSPOSE) ;

    vl_imconvcoltri_f (self->convTmp2, self->imWidth,
                       self->convTmp1, self->imHeight, self->imWidth,
                       self->imHeight,
                       self->geom.binSizeX,
                       1,
                       VL_PAD_BY_CONTINUITY|VL_TRANSPOSE) ;

    for (biny = 0 ; biny < self->geom.numBinY ; ++biny) {

      /*
      This fast version of DSIFT does not use a proper Gaussian
      weighting scheme for the gradiens that are accumulated on the
      spatial bins. Instead each spatial bins is accumulated based on
      the triangular kernel only, equivalent to bilinear interpolation
      plus a flat, rather than Gaussian, window. Eventually, however,
      the magnitude of the spatial bins in the SIFT descriptor is
      reweighted by the average of the Gaussian window on each bin.
      */

      float wy = _vl_dsift_get_bin_window_mean
        (self->geom.binSizeY, self->geom.numBinY, biny,
         self->windowSize) ;

      /* The convolution functions vl_imconvcoltri_* convolve by a
       * triangular kernel with unit integral. Instead for SIFT the
       * triangular kernel should have unit height. This is
       * compensated for by multiplying by the bin size:
       */

      wy *= self->geom.binSizeY ;

      for (binx = 0 ; binx < self->geom.numBinX ; ++binx) {
        float w ;
        float wx = _vl_dsift_get_bin_window_mean (self->geom.binSizeX,
                                                  self->geom.numBinX,
                                                  binx,
                                                  self->windowSize) ;

        float *dst = self->descrs
          + bint
          + binx * self->geom.numBinT
          + biny * (self->geom.numBinX * self->geom.numBinT)  ;

        float *src = self->convTmp2 ;

        int frameSizeX = self->geom.binSizeX * (self->geom.numBinX - 1) + 1 ;
        int frameSizeY = self->geom.binSizeY * (self->geom.numBinY - 1) + 1 ;
        int descrSize = vl_dsift_get_descriptor_size (self) ;

        wx *= self->geom.binSizeX ;
        w = wx * wy ;

        for (framey  = self->boundMinY ;
             framey <= self->boundMaxY - frameSizeY + 1 ;
             framey += self->stepY) {
          for (framex  = self->boundMinX ;
               framex <= self->boundMaxX - frameSizeX + 1 ;
               framex += self->stepX) {
            *dst = w * src [(framex + binx * self->geom.binSizeX) * 1 +
                            (framey + biny * self->geom.binSizeY) * self->imWidth]  ;
            dst += descrSize ;
          } /* framex */
        } /* framey */
      } /* binx */
    } /* biny */
  } /* bint */
}

/** ------------------------------------------------------------------
 ** @brief Compute keypoints and descriptors
 **
 ** @param self DSIFT filter.
 ** @param im   image data.
 **/

void vl_dsift_process (VlDsiftFilter* self, float const* im)
{
  int t, x, y ;

  /* update buffers */
  _vl_dsift_alloc_buffers (self) ;

  /* clear integral images */
  for (t = 0 ; t < self->geom.numBinT ; ++t)
    memset (self->grads[t], 0,
            sizeof(float) * self->imWidth * self->imHeight) ;

#undef at
#define at(x,y) (im[(y)*self->imWidth+(x)])

  /* Compute gradients, their norm, and their angle */

  for (y = 0 ; y < self->imHeight ; ++ y) {
    for (x = 0 ; x < self->imWidth ; ++ x) {
      float gx, gy ;
      float angle, mod, nt, rbint ;
      int bint ;

      /* y derivative */
      if (y == 0) {
        gy = at(x,y+1) - at(x,y) ;
      } else if (y == self->imHeight - 1) {
        gy = at(x,y) - at(x,y-1) ;
      } else {
        gy = 0.5F * (at(x,y+1) - at(x,y-1)) ;
      }

      /* x derivative */
      if (x == 0) {
        gx = at(x+1,y) - at(x,y) ;
      } else if (x == self->imWidth - 1) {
        gx = at(x,y) - at(x-1,y) ;
      } else {
        gx = 0.5F * (at(x+1,y) - at(x-1,y)) ;
      }

      /* angle and modulus */
      angle = vl_fast_atan2_f (gy,gx) ;
      mod = vl_fast_sqrt_f (gx*gx + gy*gy) ;

      /* quantize angle */
      nt = vl_mod_2pi_f (angle) * (self->geom.numBinT / (2*VL_PI)) ;
      bint = (int) vl_floor_f (nt) ;
      rbint = nt - bint ;

      /* write it back */
      self->grads [(bint    ) % self->geom.numBinT][x + y * self->imWidth] = (1 - rbint) * mod ;
      self->grads [(bint + 1) % self->geom.numBinT][x + y * self->imWidth] = (    rbint) * mod ;
    }
  }

  if (self->useFlatWindow) {
    _vl_dsift_with_flat_window(self) ;
  } else {
    _vl_dsift_with_gaussian_window(self) ;
  }

  {
    VlDsiftKeypoint* frameIter = self->frames ;
    float * descrIter = self->descrs ;
    int framex, framey, bint ;

    int frameSizeX = self->geom.binSizeX * (self->geom.numBinX - 1) + 1 ;
    int frameSizeY = self->geom.binSizeY * (self->geom.numBinY - 1) + 1 ;
    int descrSize = vl_dsift_get_descriptor_size (self) ;

    float deltaCenterX = 0.5F * self->geom.binSizeX * (self->geom.numBinX - 1) ;
    float deltaCenterY = 0.5F * self->geom.binSizeY * (self->geom.numBinY - 1) ;

    float normConstant = frameSizeX * frameSizeY ;

    for (framey  = self->boundMinY ;
         framey <= self->boundMaxY - frameSizeY + 1 ;
         framey += self->stepY) {

      for (framex  = self->boundMinX ;
           framex <= self->boundMaxX - frameSizeX + 1 ;
           framex += self->stepX) {

        frameIter->x    = framex + deltaCenterX ;
        frameIter->y    = framey + deltaCenterY ;

        /* mass */
        {
          float mass = 0 ;
          for (bint = 0 ; bint < descrSize ; ++ bint)
            mass += descrIter[bint] ;
          mass /= normConstant ;
          frameIter->norm = mass ;
        }

        /* L2 normalize */
        _vl_dsift_normalize_histogram (descrIter, descrIter + descrSize) ;

        /* clamp */
        for(bint = 0 ; bint < descrSize ; ++ bint)
          if (descrIter[bint] > 0.2F) descrIter[bint] = 0.2F ;

        /* L2 normalize */
        _vl_dsift_normalize_histogram (descrIter, descrIter + descrSize) ;

        frameIter ++ ;
        descrIter += descrSize ;
      } /* for framex */
    } /* for framey */
  }
}
vlfeat-0.9.16/vl/dsift.h000066400000000000000000000254541203326130700150020ustar00rootroot00000000000000/** @file dsift.h
 ** @brief Dense SIFT (@ref dsift)
 ** @author Andrea Vedaldi
 ** @author Brian Fulkerson
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_DSIFT_H
#define VL_DSIFT_H

#include "generic.h"

/** @brief Dense SIFT keypoint */
typedef struct VlDsiftKeypoint_
{
  double x ; /**< x coordinate */
  double y ; /**< y coordinate */
  double s ; /**< scale */
  double norm ; /**< SIFT descriptor norm */
} VlDsiftKeypoint ;

/** @brief Dense SIFT descriptor geometry */
typedef struct VlDsiftDescriptorGeometry_
{
  int numBinT ;  /**< number of orientation bins */
  int numBinX ;  /**< number of bins along X */
  int numBinY ;  /**< number of bins along Y */
  int binSizeX ; /**< size of bins along X */
  int binSizeY ; /**< size of bins along Y */
} VlDsiftDescriptorGeometry ;

/** @brief Dense SIFT filter */
typedef struct VlDsiftFilter_
{
  int imWidth ;            /**< @internal @brief image width */
  int imHeight ;           /**< @internal @brief image height */

  int stepX ;              /**< frame sampling step X */
  int stepY ;              /**< frame sampling step Y */

  int boundMinX ;          /**< frame bounding box min X */
  int boundMinY ;          /**< frame bounding box min Y */
  int boundMaxX ;          /**< frame bounding box max X */
  int boundMaxY ;          /**< frame bounding box max Y */

  /** descriptor parameters */
  VlDsiftDescriptorGeometry geom ;

  int useFlatWindow ;      /**< flag: whether to approximate the Gaussian window with a flat one */
  double windowSize ;      /**< size of the Gaussian window */

  int numFrames ;          /**< number of sampled frames */
  int descrSize ;          /**< size of a descriptor */
  VlDsiftKeypoint *frames ; /**< frame buffer */
  float *descrs ;          /**< descriptor buffer */

  int numBinAlloc ;        /**< buffer allocated: descriptor size */
  int numFrameAlloc ;      /**< buffer allocated: number of frames  */
  int numGradAlloc ;       /**< buffer allocated: number of orientations */

  float **grads ;          /**< gradient buffer */
  float *convTmp1 ;        /**< temporary buffer */
  float *convTmp2 ;        /**< temporary buffer */
}  VlDsiftFilter ;

VL_EXPORT VlDsiftFilter *vl_dsift_new (int width, int height) ;
VL_EXPORT VlDsiftFilter *vl_dsift_new_basic (int width, int height, int step, int binSize) ;
VL_EXPORT void vl_dsift_delete (VlDsiftFilter *self) ;
VL_EXPORT void vl_dsift_process (VlDsiftFilter *self, float const* im) ;
VL_INLINE void vl_dsift_transpose_descriptor (float* dst,
                                             float const* src,
                                             int numBinT,
                                             int numBinX,
                                             int numBinY) ;

/** @name Setting parameters
 ** @{
 **/
VL_INLINE void vl_dsift_set_steps (VlDsiftFilter *self,
                                  int stepX,
                                  int stepY) ;
VL_INLINE void vl_dsift_set_bounds (VlDsiftFilter *self,
                                   int minX,
                                   int minY,
                                   int maxX,
                                   int maxY) ;
VL_INLINE void vl_dsift_set_geometry (VlDsiftFilter *self,
                                      VlDsiftDescriptorGeometry const* geom) ;
VL_INLINE void vl_dsift_set_flat_window (VlDsiftFilter *self, vl_bool useFlatWindow) ;
VL_INLINE void vl_dsift_set_window_size (VlDsiftFilter *self, double windowSize) ;
/** @} */

/** @name Retrieving data and parameters
 ** @{
 **/
VL_INLINE float const    *vl_dsift_get_descriptors     (VlDsiftFilter const *self) ;
VL_INLINE int             vl_dsift_get_descriptor_size (VlDsiftFilter const *self) ;
VL_INLINE int             vl_dsift_get_keypoint_num    (VlDsiftFilter const *self) ;
VL_INLINE VlDsiftKeypoint const *vl_dsift_get_keypoints (VlDsiftFilter const *self) ;
VL_INLINE void            vl_dsift_get_bounds          (VlDsiftFilter const *self,
                                                       int* minX,
                                                       int* minY,
                                                       int* maxX,
                                                       int* maxY) ;
VL_INLINE void            vl_dsift_get_steps           (VlDsiftFilter const* self,
                                                       int* stepX,
                                                       int* stepY) ;
VL_INLINE VlDsiftDescriptorGeometry const* vl_dsift_get_geometry (VlDsiftFilter const *self) ;
VL_INLINE vl_bool         vl_dsift_get_flat_window     (VlDsiftFilter const *self) ;
VL_INLINE double          vl_dsift_get_window_size     (VlDsiftFilter const *self) ;
/** @} */

VL_EXPORT
void _vl_dsift_update_buffers (VlDsiftFilter *self) ;

/** ------------------------------------------------------------------
 ** @brief Get descriptor size.
 ** @param self DSIFT filter object.
 ** @return size of a descriptor.
 **/

int
vl_dsift_get_descriptor_size (VlDsiftFilter const *self)
{
  return self->descrSize ;
}

/** ------------------------------------------------------------------
 ** @brief Get descriptors.
 ** @param self DSIFT filter object.
 ** @return descriptors.
 **/

float const *
vl_dsift_get_descriptors (VlDsiftFilter const *self)
{
  return self->descrs ;
}

/** ------------------------------------------------------------------
 ** @brief Get keypoints
 ** @param self DSIFT filter object.
 **/

VlDsiftKeypoint const *
vl_dsift_get_keypoints (VlDsiftFilter const *self)
{
  return self->frames ;
}

/** ------------------------------------------------------------------
 ** @brief Get number of keypoints
 ** @param self DSIFT filter object.
 **/

int
vl_dsift_get_keypoint_num (VlDsiftFilter const *self)
{
  return self->numFrames ;
}

/** ------------------------------------------------------------------
 ** @brief Get SIFT descriptor geometry
 ** @param self DSIFT filter object.
 ** @return DSIFT descriptor geometry.
 **/

VlDsiftDescriptorGeometry const* vl_dsift_get_geometry (VlDsiftFilter const *self)
{
  return &self->geom ;
}

/** ------------------------------------------------------------------
 ** @brief Get bounds
 ** @param self DSIFT filter object.
 ** @param minX bounding box minimum X coordinate.
 ** @param minY bounding box minimum Y coordinate.
 ** @param maxX bounding box maximum X coordinate.
 ** @param maxY bounding box maximum Y coordinate.
 **/

void
vl_dsift_get_bounds (VlDsiftFilter const* self,
                    int *minX, int *minY, int *maxX, int *maxY)
{
  *minX = self->boundMinX ;
  *minY = self->boundMinY ;
  *maxX = self->boundMaxX ;
  *maxY = self->boundMaxY ;
}

/** ------------------------------------------------------------------
 ** @brief Get flat window flag
 ** @param self DSIFT filter object.
 ** @return @c TRUE if the DSIFT filter uses a flat window.
 **/

int
vl_dsift_get_flat_window (VlDsiftFilter const* self)
{
  return self->useFlatWindow ;
}

/** ------------------------------------------------------------------
 ** @brief Get steps
 ** @param self DSIFT filter object.
 ** @param stepX sampling step along X.
 ** @param stepY sampling step along Y.
 **/

void
vl_dsift_get_steps (VlDsiftFilter const* self,
                   int* stepX,
                   int* stepY)
{
  *stepX = self->stepX ;
  *stepY = self->stepY ;
}

/** ------------------------------------------------------------------
 ** @brief Set steps
 ** @param self DSIFT filter object.
 ** @param stepX sampling step along X.
 ** @param stepY sampling step along Y.
 **/

void
vl_dsift_set_steps (VlDsiftFilter* self,
                   int stepX,
                   int stepY)
{
  self->stepX = stepX ;
  self->stepY = stepY ;
  _vl_dsift_update_buffers(self) ;
}

/** ------------------------------------------------------------------
 ** @brief Set bounds
 ** @param self DSIFT filter object.
 ** @param minX bounding box minimum X coordinate.
 ** @param minY bounding box minimum Y coordinate.
 ** @param maxX bounding box maximum X coordinate.
 ** @param maxY bounding box maximum Y coordinate.
 **/

void
vl_dsift_set_bounds (VlDsiftFilter* self,
                    int minX, int minY, int maxX, int maxY)
{
  self->boundMinX = minX ;
  self->boundMinY = minY ;
  self->boundMaxX = maxX ;
  self->boundMaxY = maxY ;
  _vl_dsift_update_buffers(self) ;
}

/** ------------------------------------------------------------------
 ** @brief Set SIFT descriptor geometry
 ** @param self DSIFT filter object.
 ** @param geom descriptor geometry parameters.
 **/

void
vl_dsift_set_geometry (VlDsiftFilter *self,
                       VlDsiftDescriptorGeometry const *geom)
{
  self->geom = *geom ;
  _vl_dsift_update_buffers(self) ;
}

/** ------------------------------------------------------------------
 ** @brief Set flat window flag
 ** @param self DSIFT filter object.
 ** @param useFlatWindow @c true if the DSIFT filter should use a flat window.
 **/

void
vl_dsift_set_flat_window (VlDsiftFilter* self,
                         vl_bool useFlatWindow)
{
  self->useFlatWindow = useFlatWindow ;
}

/** ------------------------------------------------------------------
 ** @brief Transpose descriptor
 **
 ** @param dst destination buffer.
 ** @param src source buffer.
 ** @param numBinT
 ** @param numBinX
 ** @param numBinY
 **
 ** The function writes to @a dst the transpose of the SIFT descriptor
 ** @a src. Let I be an image. The transpose operator
 ** satisfies the equation transpose(dsift(I,x,y)) =
 ** dsift(transpose(I),y,x)
 **/

VL_INLINE void
vl_dsift_transpose_descriptor (float* dst,
                              float const* src,
                              int numBinT,
                              int numBinX,
                              int numBinY)
{
  int t, x, y ;

  for (y = 0 ; y < numBinY ; ++y) {
    for (x = 0 ; x < numBinX ; ++x) {
      int offset  = numBinT * (x + y * numBinX) ;
      int offsetT = numBinT * (y + x * numBinY) ;

      for (t = 0 ; t < numBinT ; ++t) {
        int tT = numBinT / 4 - t ;
        dst [offsetT + (tT + numBinT) % numBinT] = src [offset + t] ;
      }
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief Set SIFT descriptor Gaussian window size
 ** @param self DSIFT filter object.
 ** @param windowSize window size.
 **/

void
vl_dsift_set_window_size(VlDsiftFilter * self, double windowSize)
{
  assert(windowSize >= 0.0) ;
  self->windowSize = windowSize ;
}

/** ------------------------------------------------------------------
 ** @brief Get SIFT descriptor Gaussian window size
 ** @param self DSIFT filter object.
 ** @return window size.
 **/

VL_INLINE double
vl_dsift_get_window_size(VlDsiftFilter const * self)
{
  return self->windowSize ;
}

/*  VL_DSIFT_H */
#endif
vlfeat-0.9.16/vl/float.th000066400000000000000000000030331203326130700151470ustar00rootroot00000000000000/** @file float.th
 ** @brief Float - Template
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "generic.h"

#undef  T
#undef  SFX
#undef  VSIZE
#undef  VSFX
#undef  VTYPE

#if (FLT == VL_TYPE_FLOAT)
#  define T      float
#  define SFX    f
#elif (FLT == VL_TYPE_DOUBLE)
#  define T      double
#  define SFX    d
#elif (FLT == VL_TYPE_UINT32)
#  define T      vl_uint32
#  define SFX    ui32
#elif (FLT == VL_TYPE_INT32)
#  define T      vl_int32
#  define SFX    i32
#endif

#ifdef  __SSE2__

#if (FLT == VL_TYPE_FLOAT)
#  define VSIZE  4
#  define VSFX   s
#  define VTYPE  __m128
#elif (FLT == VL_TYPE_DOUBLE)
#  define VSIZE  2
#  define VSFX   d
#  define VTYPE  __m128d
#endif

#define VALIGNED(x) (! (((vl_uintptr)(x)) & 0xF))

#define VMAX  VL_XCAT(_mm_max_p,     VSFX)
#define VMUL  VL_XCAT(_mm_mul_p,     VSFX)
#define VDIV  VL_XCAT(_mm_div_p,     VSFX)
#define VADD  VL_XCAT(_mm_add_p,     VSFX)
#define VSUB  VL_XCAT(_mm_sub_p,     VSFX)
#define VSTZ  VL_XCAT(_mm_setzero_p, VSFX)
#define VLD1  VL_XCAT(_mm_load1_p,   VSFX)
#define VLDU  VL_XCAT(_mm_loadu_p,   VSFX)
#define VST1  VL_XCAT(_mm_store_s,   VSFX)
#define VSET1 VL_XCAT(_mm_set_s,     VSFX)
#define VSHU  VL_XCAT(_mm_shuffle_p, VSFX)
#define VNEQ  VL_XCAT(_mm_cmpneq_p,  VSFX)
#define VAND  VL_XCAT(_mm_and_p,     VSFX)
#define VANDN VL_XCAT(_mm_andnot_p,  VSFX)

/* __SSE2__ */
#endif
vlfeat-0.9.16/vl/generic.c000066400000000000000000001107631203326130700152760ustar00rootroot00000000000000/** @file generic.c
 ** @brief Generic - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@mainpage VLFeat -- Vision Lab Features Library
@version __VLFEAT_VERSION__
@author The VLFeat Team
@par Copyright © 2007-12 Andrea Vedaldi and Brian Fulkerson


VLFeat C library contains implementations of common computer
vision algorithms, with a special focus on visual features for
matching image regions. Applications include structure from motion and
object and category detection and recognition.

We strive to make the library free of clutter, portable (VLFeat is
largely C-89 compatible), and self- documented. Different parts of the
library are weakly interdependent, simplifying understanding and
extraction of code.


@section main-contents Contents


- Algorithms
  - @ref sift
  - @ref dsift
  - @ref mser
  - @ref kmeans
  - @ref ikmeans.h  "Integer K-means (IKM)"
  - @ref hikmeans.h "Hierarchical Integer K-means (HIKM)"
  - @ref aib
  - @ref kdtree
  - @ref homkermap
  - @ref pegasos
  - @ref slic
  - @ref quickshift
  - @ref hog
  - @ref covdet
- Support functionalities
  - @ref host.h      "Platform abstraction"
  - @ref generic
  - @ref random.h    "Random number generator"
  - @ref mathop.h    "Math operations"
  - @ref heap-def.h  "Generic heap object (priority queue)"
  - @ref stringop.h  "String operations"
  - @ref imopv.h     "Image operations"
  - @ref pgm.h       "PGM reading and writing"
  - @ref rodrigues.h "Rodrigues formula"
  - @ref mexutils.h  "MATLAB MEX helper functions"
  - @ref getopt_long.h "Drop-in @c getopt_long replacement"
- @ref design
  - @ref design-objects     "Objects"
  - @ref design-resources   "Memory and resource management"
  - @ref design-threads     "Multi-threading"
  - @ref design-portability "Portability"
- @ref dev
- @ref main-glossary


@page design VLFeat design concepts


VLFeat is designed to be portable and simple to integrate with high
level languages such as MATLAB. This section illustrates and
motivates the aspects of the design that are relevant to the users of
the library.


@section design-resources Memory and resource handling


Some VLFeat functions return pointers to memory blocks or
objects. Only ::vl_malloc, ::vl_calloc, ::vl_realloc, or functions
whose name contains either the keywords @c new or @c copy,
transfer the ownership of the memory block or object to the
caller. The caller must dispose explicitly of all the resources he
owns (by calling ::vl_free for a memory block, or the appropriate
destructor for an object).

The memory allocation functions can be customized by
::vl_set_alloc_func (which sets the implementations of ::vl_malloc,
::vl_realloc, ::vl_calloc and ::vl_free). Remapping the memory
allocation functions can be done only if there are no currently
allocated VLFeat memory blocks or objects. The memory allocation
functions are common to all threads.

VLFeat uses three rules that simplify handling exceptions:

- The library allocates local memory only through the reprogrammable
  ::vl_malloc, ::vl_calloc, and ::vl_realloc functions.

- The only resource referenced by VLFeat objects is memory (for
  instance, it is illegal for an object to reference an open file).
  Other resources such as files or threads may be allocated within a
  VLFeat function call, but they are all released before the function
  ends, or their ownership is directly transferred to the caller.

- The global library state is an exception. It cannot reference any
  local object created by the caller and uses the standard C memory
  allocation functions.

In this way, the VLFeat local state can be reset at any time simply
by disposing of all the memory allocated so far. The latter can be
done easily by mapping the memory allocation functions to
implementations that track the memory blocks allocated, and simply
disposing of all such blocks. Since the global state does not
reference any local object nor uses the remapped memory functions, it
is unaffected by such an operation; conversely, since no VLFeat
object references anything but memory, this guarantees that all
allocated resources are properly disposed (no leaks). This is used
extensively in the design of MATLAB MEX files (see @ref
design-matlab).


@section design-objects Objects


Many VLFeat algorithms are availale in the form of
“objects”. Notice that the C language, used by VLFeat,
does not support objects explicitly. Here an object indicates an
opaque data structure along with a number of functions (methods)
operationg on it.

Object names are captilaised and start with the Vl
prefix (for example ::VlSiftFilt). Object methods are lowercase and
start with the vl__ suffix
(e.g. ::vl_sift_new). Object methods typraically include a constructor
(e.g. ::vl_sift_new), a destructor (::vl_sift_delete), some getter
methods (::vl_sift_get_octave_index), and some setter methods
(::vl_sift_set_magnif).


@section design-threads Multi-threading


VLFeat can be used with multiple threads by treating appropriately
different kinds of operations:

- Local operations (reentrancy). Most VLFeat operations are
  reentrant, in the sense that they operate on local data. It is safe
  to execute such operations concurrently from multiple threads as
  long as each thread operates on an independent sets of objects or
  memory blocks.  By contrast, operating on the same object or memory
  block from multiple threads requires proper synchronization by the
  user.

- Task-specific operations. A few operations are intrinsically
  non-reentrant but thread-specific. These include: retrieving the
  last error by ::vl_get_last_error and obtaining the thread-specific
  random number generator by ::vl_get_rand. VLFeat makes such
  operations thread-safe by operating on task-specific data.

- Global operations. A small number of operations are
  non-reentrant and affect all threads simultaneously. These
  are restricted to changing certain global configuration parameters,
  such as the memory allocation functions by
  ::vl_set_alloc_func. These operations are not thread safe
  and should be executed before multiple threads are started.

Some VLFeat algorithms are randomised. Each thread has his own random
number generator (an instance of ::VlRand) accessed by
::vl_get_rand. To make calculations reproducible the random number
generator must be seeded appropriately in each thread. Notice also
that using the same VLFeat object from multiple threads (with
appropriate synchronization) will cause multiple random number
generators to be intermixed.


@section design-portability Portability features


Platform dependent details are isolated in the @ref host.h
library module. These include:

- Atomic types (e.g. ::vl_int32).
- Special syntaxes for the declaration of symbols exported by the library
  and inline functions (e.g. ::VL_EXPORT).
- Host-dependent conversion of data endianess
  (e.g. ::vl_swap_host_big_endianness_8()).

VLFeat uses processor specific features (e.g. Intel SSE) if those are
available at run time.




@section design-matlab MATLAB integration issues


The VLFeat C library is designed to integrate seamlessly with MATLAB.
Binary compatibility is simplified by the use of the C language
(rather than C++). In addition, the library design follows certain
restrictons that make it compatible with the MATLAB MEX interface.

The main issue in calling a library function from a MATLAB MEX
function is that MATLAB can abort the execution of the MEX function
at any point, either due to an error, or directly upon a user request
(Ctrl-C) (empirically, however, a MEX function seems to be
interruptible only during the invocation of certain functions of the
MEX API such as @c mexErrMsgTxt).

When a MEX function is interrupted, resources (memory blocks or
objects) whose ownership was transferred from VLFeat to the MEX
function may be leaked. Notice that interrupting a MEX function would
similarly leak any memory block allocated within the MEX function. To
solve this issue, MATLAB provides his own memory manager (@c
mxMalloc, @c mxRealloc, ...). When a MEX file is interrupted or ends,
all memory blocks allocated by using one of such functions are
released, preventing leakage.

In order to integrate VLFeat with this model in the most seamless
way, VLFeat memory allocation functions (::vl_malloc, ::vl_realloc,
::vl_calloc) are mapped to the corresponding MEX memory allocation
functions. Such functions automatically dispose of all the memory
allocated by a MEX function when the function ends (even because of
an exception). Because of the restrictions of the library design
illustrated in @ref design-resources, this operation is safe and
correctly dispose of VLFeat local state. As a consequence, it is
possible to call @c mexErrMsgTxt at any point in the MEX function
without worring about leaking resources.

This however comes at the price of some limitations. Beyond the
restrictions illustred in @ref design-resources, here we note that no
VLFeat local resoruce (memory blocks or objects) can persist across
MEX file invocations. This implies that any result produced by a
VLFeat MEX function must be converted back to a MATLAB object such as
a vector or a structure. In particular, there is no direct way of
creating an object within a MEX file, returning it to MATLAB, and
passing it again to another MEX file.


@section main-metaprogramming Preprocessor metaprogramming


Part of VLFeat code uses a simple form of perprocessor metaprogramming.
This technique is used, similarly to C++ templates, to instantiate
multiple version of a given algorithm for different data types
(e.g. @c float and @c double).

In most cases preprocessor metaprogramming is invisible to the library
user, as it is used only internally.


@page main-glossary Glossary


 - Column-major. A M x N  matrix A is
 stacked with column-major order as the sequence \f$(A_{11}, A_{21},
 \dots, A_{12}, \dots)\f$. More in general, when stacking a multi
 dimensional array this indicates that the first index is the one
 varying most quickly, with the other followed in the natural order.
 - Opaque structure. A structure is opaque if the user is not supposed
 to access its member directly, but through appropriate interface functions.
 Opaque structures are commonly used to define objects.
 - Row-major. A M x N  matrix A is
 stacked with row-major order as the sequence \f$(A_{11}, A_{12},
 \dots, A_{21}, \dots)\f$. More in general, when stacking a multi
 dimensional array this indicates that the last index is the one
 varying most quickly, with the other followed in reverse order.
 - Feature frame. A feature frame is the geometrical
 description of a visual features. For instance, the frame of
 a @ref sift.h "SIFT feature" is oriented disk and the frame of
 @ref mser.h "MSER feature" is either a compact and connected set or
 a disk.
 - Feature descriptor. A feature descriptor is a quantity
 (usually a vector) which describes compactly the appearance of an
 image region (usually corresponding to a feature frame).
**/

/**


@page dev Developing the library



@section dev-doc Coding style



      


    • Develop a sensibility for good-looking code. The coding
style should be as uniform as possible throughoug the library. The
style is specified by this set of rules. However, the quality of the
code can only be guaranteed by a reasonable application of the rules
and combined with one's eye for good code.
      • 


    • No whitespaces at the end of lines. Whitespaces introduce
invisible changes in the code that are however picked up by control
version systems such as Git.
      • 


    • Descriptive variable names. Most variable names start with
a lower case letter and are capitalized, e.g., @c numElements. Only
the following abbreviations are considered acceptable: @c num. The @c
dimension of a vector is the number of elements it contains (for other
objects that could be a @c size, a @c length, or a @c
numElements). For multi-dimensional arrays, @c dimensions could
indicate the array with each of the @c numDimensions dimensions.
      • 


    • Short variable names. For indexes in short for loops it is
fine to use short index names such as @c i, @c j, and @c k. For example:

@code
for (i = 0 ; i < numEntries ; ++i) values[i] ++ ;
@endcode

is considered acceptable.
      • 


    


@section dev-doc Documenting the code


The VLFeat C library code contains its own in documentation     Doxygen format. The
documentation consists in generic pages, such as the @ref index
"index" and the page you are reading, and documentations for each
specifid library module, usually corresponding to a certain heaader
file.


@subsection devl-doc-modules Documenting the library modules


A library module groups a number of data types and functions that
implement a certain functionaltiy of VLFeat. Consider a module called
Example Module. Then one would typically have:


      

    • A header or declaration file @c example-module.h. Such a file has an
heading of the type:

@verbinclude example-module-doc.h

This comment block contains a file directive, causing the file to be
included in the documentation, a brief directive, specifying a short
description of what the file is, and a list of authors. A
(non-Doxygen) comment block with a short the copyright notice follows.
The brief directive should include a @@ref directive to point
to the main documentation page describing the module, if there is one.

      • 


    •  An implementation or definition file @c example-module.c. This file
has an heading of the type:

@verbinclude example-module-doc.c

This is similar to the declearation file, except for the content of the
brief comment.

      • 

    


@subsection devl-doc-functions Documenting the library functions



@subsection devl-doc-bib Bibliographic references


Since version 0.9.14, the VLFeat C library documentation makes use of
a proper bibliographic reference in BibTeX format (see the file @c
docsrc/vlfeat.bib). Doxygen uses this file when it sees instances of
the @@cite{xyz} command.  Here @c xyz is a BibTeX
key. For example, @c vlfeat.bib file contains the entry:


    @@inproceedings{martin97the-det-curve,
	Author = {A. Martin and G. Doddington and T. Kamm and M. Ordowski and M. Przybocki},
	Booktitle = {Proc. Conf. on Speech Communication and Technology},
	Title = {The {DET} curve in assessment of detection task performance},
	Year = {1997}}

    

For example, the Doxygen directive
@@cite{martin97the-det-curve} generates the output
@cite{martin97the-det-curve}, which is a link to the corresponding
entry in the bibliography.

**/

/**

@file generic.h


@page generic Preprocssor, library state, etc.
@author Andrea Vedaldi


@ref generic.h provides the following functionalities:

- @ref generic-preproc
- @ref generic-state
- @ref generic-error
- @ref generic-memory
- @ref generic-logging
- @ref generic-time


@section generic-preproc C preprocessor helpers


VLFeat provides a few C preprocessor macros of general
utility. These include stringification (::VL_STRINGIFY,
::VL_XSTRINGIFY) and concatenation (::VL_CAT, ::VL_XCAT) of symbols.


@section generic-state VLFeat state and configuration parameters


VLFeat has some global configuration parameters that can
changed. Changing the configuration is thread unsave
(@ref design-threads). Use ::vl_set_simd_enabled to toggle the use of
a SIMD unit (Intel SSE code), ::vl_set_alloc_func to change
the memory allocation functions, and ::vl_set_printf_func
to change the logging function.


@section generic-error Error handling


Some VLFeat functions signal errors in a way similar to the
standard C library. In case of error, a VLFeat function
may return an error code directly,
or an invalid result (for instance a negative file descriptor or a null
pointer). Then ::vl_get_last_error and ::vl_get_last_error_message can be used
to retrieve further details about the error (these functions should be
used right after an error has occurred, before any other VLFeat call).


@section generic-memory Memory allocation


VLFeat uses the ::vl_malloc, ::vl_realloc, ::vl_calloc and ::vl_free
functions to allocate memory. Normally these functions are mapped to
the underlying standard C library implementations. However
::vl_set_alloc_func can be used to map them to other
implementations.  For instance, in MATALB MEX files these functions
are mapped to the MATLAB equivalent which has a garbage collection
mechanism to cope with interruptions during execution.


@section generic-logging Logging


VLFeat uses the macros ::VL_PRINT and ::VL_PRINTF to print progress
or debug informations. These functions are normally mapped to the @c
printf function of the underlying standard C library. However
::vl_set_printf_func can be used to map it to a different
implementation. For instance, in MATLAB MEX files this function is
mapped to @c mexPrintf. Setting the function to @c NULL disables
logging.


@section generic-time Measuring time


VLFeat provides ::vl_tic and ::vl_toc as an easy way of measuring
elapsed time.

**/

#include "generic.h"
#include 
#include 
#include 
#include 
#include 

#if defined(VL_OS_WIN)
#include 
#elif defined(_POSIX_THREADS)
#include 
#endif

#if defined(VL_OS_MACOSX) || defined(VL_OS_LINUX)
#include 
#endif

/** ------------------------------------------------------------------
 ** @brief Get version string
 ** @return library version string
 **/

VL_EXPORT char const *
vl_get_version_string ()
{
  return VL_VERSION_STRING ;
}

/** ------------------------------------------------------------------
 ** @brief Human readable library configuration
 ** @return a new string with the library configuration.
 **
 ** The function returns a new string with a human readable
 ** rendition of the library configuration.
 **/

VL_EXPORT char *
vl_configuration_to_string_copy ()
{
  char * string = 0 ;
  int length = 0 ;
  char * staticString = vl_static_configuration_to_string_copy() ;
  char * cpuString =
#if defined(VL_ARCH_IX86) || defined(VL_ARCH_X64) || defined(VL_ARCH_IA64)
  _vl_x86cpu_info_to_string_copy(&vl_get_state()->cpuInfo) ;
#else
  "Generic CPU" ;
#endif
#if defined(DEBUG)
  int const debug = 1 ;
#else
  int const debug = 0 ;
#endif

  while (string == 0) {
    if (length > 0) {
      string = vl_malloc(sizeof(char) * length) ;
      if (string == NULL) break ;
    }
    length = snprintf(string, length,
                      "VLFeat version %s\n"
                      "    Static config: %s\n"
                      "    %" VL_FMT_SIZE " CPU(s): %s\n"
                      "    Debug: %s\n",
                      vl_get_version_string (),
                      staticString,
                      vl_get_num_cpus(), cpuString,
                      VL_YESNO(debug)) ;
    length += 1 ;
  }

  if (staticString) vl_free(staticString) ;
  if (cpuString) vl_free(cpuString) ;
  return string ;
}

/** @internal @brief A printf that does not do anything */
static int
do_nothing_printf (char const* format VL_UNUSED, ...)
{
  return 0 ;
}

/** --------------------------------------------------------------- */

VlState _vl_state ;

/** ------------------------------------------------------------------
 ** @internal @brief Lock VLFeat state
 **
 ** The function locks VLFeat global state mutex.
 **
 ** The mutex is recursive: locking multiple times from the same thread
 ** is a valid operations, but requires an equivalent number
 ** of calls to ::vl_unlock_state.
 **
 ** @sa ::vl_unlock_state
 **/

VL_EXPORT void
vl_lock_state ()
{
#if ! defined(VL_DISABLE_THREADS)
#if   defined(VL_THREADS_POSIX)
  VlState * state = vl_get_state () ;
  pthread_t thisThread = pthread_self () ;
  pthread_mutex_lock (&state->mutex) ;
  if (state->mutexCount >= 1 &&
      pthread_equal (state->mutexOwner, thisThread)) {
    state->mutexCount ++ ;
  } else {
    while (state->mutexCount >= 1) {
      pthread_cond_wait (&state->mutexCondition, &state->mutex) ;
    }
    state->mutexOwner = thisThread ;
    state->mutexCount = 1 ;
  }
  pthread_mutex_unlock (&state->mutex) ;
#elif defined(VL_THREADS_WIN)
  EnterCriticalSection (&vl_get_state()->mutex) ;
#endif
#endif
}

/** ------------------------------------------------------------------
 ** @internal @brief Unlock VLFeat state
 **
 ** The function unlocks VLFeat global state mutex.
 **
 ** @sa ::vl_lock_state
 **/

VL_EXPORT void
vl_unlock_state ()
{
#if ! defined(VL_DISABLE_THREADS)
#if   defined(VL_THREADS_POSIX)
  VlState * state = vl_get_state () ;
  pthread_mutex_lock (&state->mutex) ;
  -- state->mutexCount ;
  if (state->mutexCount == 0) {
    pthread_cond_signal (&state->mutexCondition) ;
  }
  pthread_mutex_unlock (&state->mutex) ;
#elif defined(VL_THREADS_WIN)
  LeaveCriticalSection (&vl_get_state()->mutex) ;
#endif
#endif
}

/** @internal @fn ::vl_get_state()
 ** @brief Return VLFeat global state
 **
 ** The function returns a pointer to VLFeat global state.
 **
 ** @return pointer to the global state structure.
 **/

/** @internal @fn ::vl_get_thread_specific_state()
 ** @brief Get VLFeat thread state
 **
 ** The function returns a pointer to VLFeat thread state.
 **
 ** @return pointer to the thread state structure.
 **/

/** @fn ::vl_malloc(size_t)
 ** @brief Call customizable @c malloc function
 ** @param n number of bytes to allocate.
 **
 ** The function calls the user customizable @c malloc.
 **
 ** @return result of @c malloc
 **/

/** @fn ::vl_realloc(void*,size_t)
 ** @brief Call customizable @c resize function
 **
 ** @param ptr buffer to reallocate.
 ** @param n   number of bytes to allocate.
 **
 ** The function calls the user-customizable @c realloc.
 **
 ** @return result of the user-customizable @c realloc.
 **/

/** @fn ::vl_calloc(size_t,size_t)
 ** @brief Call customizable @c calloc function
 **
 ** @param n    size of each element in byte.
 ** @param size size of the array to allocate (number of elements).
 **
 ** The function calls the user-customizable @c calloc.
 **
 ** @return result of the user-customizable @c calloc.
 **/

/** @fn ::vl_free(void*)
 ** @brief Call customizable @c free function
 **
 ** @param ptr buffer to free.
 **
 ** The function calls the user customizable @c free.
 **/

/** @fn ::vl_get_last_error()
 ** @brief Get VLFeat last error code
 **
 ** The function returns the code of the last error generated
 ** by VLFeat.
 **
 ** @return laste error code.
 **/

/** @internal @fn ::vl_get_last_error_message()
 ** @brief Get VLFeat last error message
 **
 ** The function returns the message of the last
 ** error generated by VLFeat.
 **
 ** @return last error message.
 **/

/** @fn ::vl_set_simd_enabled(vl_bool)
 ** @brief Toggle usage of SIMD instructions
 ** @param x @c true if SIMD instructions are used.
 **
 ** Notice that SIMD instructions are used only if the CPU model
 ** supports them. Note also that data alignment may restrict the use
 ** of such instructions.
 **
 ** @see ::vl_cpu_has_sse2(), ::vl_cpu_has_sse3(), etc.
 **/

/** @fn ::vl_get_simd_enabled()
 ** @brief Are SIMD instructons enabled?
 ** @return @c true is SIMD instructions are enabled.
 **/

/** @fn ::vl_cpu_has_sse3()
 ** @brief Check for SSE3 instruction set
 ** @return @c true if SSE3 is present.
 **/

/** @fn ::vl_cpu_has_sse2()
 ** @brief Check for SSE2 instruction set
 ** @return @c true if SSE2 is present.
 **/

/** ------------------------------------------------------------------
 ** @internal @brief Set last VLFeat error
 **
 ** The function sets the code and optionally the error message
 ** of the last encountered error. @a errorMessage is the message
 ** format. It uses the @c printf convention and is followed by
 ** the format arguments. The maximum lenght of the error message is
 ** given by ::VL_ERR_MSG_LEN (longer messages are truncated).
 **
 ** Passing @c NULL as @a errorMessage
 ** sets the error message to the empty string.
 **
 ** @param error error code.
 ** @param errorMessage error message format string.
 ** @param ... format string arguments.
 ** @return error code.
 **/

VL_EXPORT int
vl_set_last_error (int error, char const * errorMessage, ...)
{
  VlThreadSpecificState * state = vl_get_thread_specific_state() ;
  va_list args;
  va_start(args, errorMessage) ;
  if (errorMessage) {
#ifdef VL_COMPILER_LCC
    vsprintf(state->lastErrorMessage, errorMessage, args) ;
#else
    vsnprintf(state->lastErrorMessage,
              sizeof(state->lastErrorMessage)/sizeof(char),
              errorMessage, args) ;
#endif
  } else {
    state->lastErrorMessage[0] = 0 ;
  }
  state->lastError = error ;
  va_end(args) ;
  return error ;
}

/** ------------------------------------------------------------------
 ** @brief Set memory allocation functions
 ** @param malloc_func  pointer to @c malloc.
 ** @param realloc_func pointer to @c realloc.
 ** @param calloc_func  pointer to @c calloc.
 ** @param free_func    pointer to @c free.
 **/

VL_EXPORT void
vl_set_alloc_func (void *(*malloc_func)  (size_t),
                   void *(*realloc_func) (void*, size_t),
                   void *(*calloc_func)  (size_t, size_t),
                   void  (*free_func)    (void*))
{
  VlState * state ;
  vl_lock_state () ;
  state = vl_get_state() ;
  state->malloc_func  = malloc_func ;
  state->realloc_func = realloc_func ;
  state->calloc_func  = calloc_func ;
  state->free_func    = free_func ;
  vl_unlock_state () ;
}

VL_EXPORT void
vl_set_printf_func (printf_func_t printf_func)
{
  vl_get_state()->printf_func = printf_func ? printf_func : do_nothing_printf ;
}


/** ------------------------------------------------------------------
 ** @brief Get processor time
 ** @return processor time.
 ** @sa ::vl_tic, ::vl_toc
 **/

VL_EXPORT double
vl_get_cpu_time ()
{
  #ifdef VL_OS_WIN
  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;
  LARGE_INTEGER mark ;
  QueryPerformanceCounter (&mark) ;
  return (double)mark.QuadPart / (double)threadState->ticFreq.QuadPart ;
#else
  return (double)clock() / (double)CLOCKS_PER_SEC ;
#endif
}

/** ------------------------------------------------------------------
 ** @brief Reset processor time reference
 ** The function resets VLFeat TIC/TOC time reference.
 ** @sa ::vl_get_cpu_time, ::vl_toc.
 **/

VL_EXPORT void
vl_tic ()
{
  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;
#ifdef VL_OS_WIN
  QueryPerformanceCounter (&threadState->ticMark) ;
#else
  threadState->ticMark = clock() ;
#endif
}

/** ------------------------------------------------------------------
 ** @brief Get elapsed time since tic
 **
 ** The function
 ** returns the processor time elapsed since ::vl_tic was called last.
 **
 ** @remark In multi-threaded applications, there is an independent
 ** timer for each execution thread.
 **
 ** @remark On UNIX, this function uses the @c clock() system call.
 ** On Windows, it uses the @c QueryPerformanceCounter() system call,
 ** which is more accurate than @c clock() on this platform.
 **
 ** @return elapsed time in seconds.
 **/

VL_EXPORT double
vl_toc ()
{
  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;
#ifdef VL_OS_WIN
  LARGE_INTEGER tocMark ;
  QueryPerformanceCounter(&tocMark) ;
  return (double) (tocMark.QuadPart - threadState->ticMark.QuadPart) /
    threadState->ticFreq.QuadPart ;
#else
  return (double) (clock() - threadState->ticMark) / CLOCKS_PER_SEC ;
#endif
}

/** ------------------------------------------------------------------
 ** @brief Get the random number generator for this thread
 ** @return random number generator.
 **
 ** The function returns a pointer to the random number genrator
 ** for this thread.
 **/

VL_EXPORT VlRand *
vl_get_rand ()
{
  return &vl_get_thread_specific_state()->rand ;
}

/* -------------------------------------------------------------------
 *                       Library construction and destruction routines
 *  --------------------------------------------------------------- */

VL_EXPORT VlThreadSpecificState *
vl_thread_specific_state_new ()
{
  VlThreadSpecificState * self ;
#if defined(DEBUG)
  printf("VLFeat thread constructor called\n") ;
#endif
  self = malloc(sizeof(VlThreadSpecificState)) ;
  self->lastError = 0 ;
  self->lastErrorMessage[0] = 0 ;
#if defined(VL_OS_WIN)
  QueryPerformanceFrequency (&self->ticFreq) ;
  self->ticMark.QuadPart = 0 ;
#else
  self->ticMark = 0 ;
#endif
  vl_rand_init (&self->rand) ;

  return self ;
}

VL_EXPORT void
vl_thread_specific_state_delete (VlThreadSpecificState * self)
{
#if defined(DEBUG)
  printf("VLFeat thread destructor called\n") ;
#endif
  free (self) ;
}

#if (defined(VL_OS_LINUX) || defined(VL_OS_MACOSX)) && defined(VL_COMPILER_GNUC)

static void vl_constructor () __attribute__ ((constructor)) ;
static void vl_destructor () __attribute__ ((destructor))  ;

#elif defined(VL_OS_WIN)

static void vl_constructor () ;
static void vl_destructor () ;

BOOL WINAPI DllMain(
    HINSTANCE hinstDLL,  // handle to DLL module
    DWORD fdwReason,     // reason for calling function
    LPVOID lpReserved )  // reserved
{
  VlState * state ;
  VlThreadSpecificState * threadState ;
  switch (fdwReason) {
    case DLL_PROCESS_ATTACH:
      /* Initialize once for each new process */
      vl_constructor () ;
      break ;

    case DLL_THREAD_ATTACH:
      /* Do thread-specific initialization */
      break ;

    case DLL_THREAD_DETACH:
      /* Do thread-specific cleanup */
#if ! defined(VL_DISABLE_THREADS) && defined(VL_THREADS_WIN)
      state = vl_get_state() ;
      threadState = (VlThreadSpecificState*) TlsGetValue(state->tlsIndex) ;
      if (threadState) {
        vl_thread_specific_state_delete (threadState) ;
      }
#endif
      break;

    case DLL_PROCESS_DETACH:
      /* Perform any necessary cleanup */
      vl_destructor () ;
      break;
    }
    return TRUE ; /* Successful DLL_PROCESS_ATTACH */
}

#endif

/** @internal @brief Initialize VLFeat */
static void
vl_constructor ()
{
  VlState * state ;
#if defined(DEBUG)
  printf("VLFeat DEBUG: constructor begins.\n") ;
#endif

  state = vl_get_state() ;

#if ! defined(VL_DISABLE_THREADS)
#if defined(DEBUG)
  printf("VLFeat DEBUG: constructing thread specific state.\n") ;
#endif
#if   defined(VL_THREADS_POSIX)
  {
    typedef void (*destructorType)(void * );
    pthread_key_create (&state->threadKey,
                        (destructorType)
                          vl_thread_specific_state_delete) ;
    pthread_mutex_init (&state->mutex, NULL) ;
    pthread_cond_init (&state->mutexCondition, NULL) ;
  }
#elif defined(VL_THREADS_WIN)
  InitializeCriticalSection (&state->mutex) ;
  state->tlsIndex = TlsAlloc () ;
#endif
#else
  /* threading support disabled */
#if defined(DEBUG)
  printf("VLFeat DEBUG: constructing the generic thread state instance (threading support disabled).\n") ;
#endif
  vl_get_state()->threadState = vl_thread_specific_state_new() ;
#endif

  state->malloc_func  = malloc ;
  state->realloc_func = realloc ;
  state->calloc_func  = calloc ;
  state->free_func    = free ;
  state->printf_func  = printf ;

#if defined(VL_ARCH_IX86) || defined(VL_ARCH_X64) || defined(VL_ARCH_IA64)
  _vl_x86cpu_info_init (&state->cpuInfo) ;
#endif

#if defined(VL_OS_WIN)
  {
    SYSTEM_INFO info;
    GetSystemInfo (&info) ;
    state->numCPUs = info.dwNumberOfProcessors ;
  }
#elif defined(VL_OS_MACOSX) || defined(VL_OS_LINUX)
  state->numCPUs = sysconf(_SC_NPROCESSORS_ONLN) ;
#else
  state->numCPUs = 1 ;
#endif
  state->simdEnabled = VL_TRUE ;
  state->maxNumThreads = 1 ;
#if defined(DEBUG)
  printf("VLFeat DEBUG: constructor ends.\n") ;
#endif
}

/** @internal @brief Destruct VLFeat */
static void
vl_destructor ()
{
  VlState * state ;
#if defined(DEBUG)
  printf("VLFeat DEBUG: destructor begins.\n") ;
#endif

  state = vl_get_state() ;

#if ! defined(VL_DISABLE_THREADS)
#if defined(DEBUG)
  printf("VLFeat DEBUG: destroying a thread specific state instance.\n") ;
#endif
#if   defined(VL_THREADS_POSIX)
  {
    /* Delete the thread state of this thread as the
       destructor is not called by pthread_key_delete or after
       the key is deleted. When the library
       is unloaded, this thread should also be the last one
       using the library, so this is fine.
     */
    VlThreadSpecificState * threadState =
       pthread_getspecific(state->threadKey) ;
    if (threadState) {
      vl_thread_specific_state_delete (threadState) ;
      pthread_setspecific(state->threadKey, NULL) ;
    }
  }
  pthread_cond_destroy (&state->mutexCondition) ;
  pthread_mutex_destroy (&state->mutex) ;
  pthread_key_delete (state->threadKey) ;
#elif defined(VL_THREADS_WIN)
 {
    /* Delete the thread state of this thread as the
       destructor is not called by pthread_key_delete or after
       the key is deleted. When the library
       is unloaded, this thread should also be the last one
       using the library, so this is fine.
     */
    VlThreadSpecificState * threadState =
       TlsGetValue(state->tlsIndex) ;
    if (threadState) {
      vl_thread_specific_state_delete (threadState) ;
      TlsSetValue(state->tlsIndex, NULL) ;
    }
  }
  TlsFree (state->tlsIndex) ;
  DeleteCriticalSection (&state->mutex) ;
#endif
#else
#if defined(DEBUG)
  printf("VLFeat DEBUG: destroying the generic thread state instance (threading support disabled).\n") ;
#endif
  vl_thread_specific_state_delete(vl_get_state()->threadState) ;
#endif

#if defined(DEBUG)
  printf("VLFeat DEBUG: destructor ends.\n") ;
#endif
}
vlfeat-0.9.16/vl/generic.h000066400000000000000000000244541203326130700153040ustar00rootroot00000000000000/** @file generic.h
 ** @brief Generic (@ref generic)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_GENERIC_H
#define VL_GENERIC_H

#include "host.h"
#include "random.h"

#include 
#include 
#include 
#include 

#if defined(VL_OS_WIN)
#include 
#endif

#if ! defined(VL_DISABLE_THREADS) && defined(VL_THREADS_POSIX)
#include 
#endif

/** @brief Library version string */
#define VL_VERSION_STRING "0.9.16"

/** @brief Maximum length (in characters) of an error message */
#define VL_ERR_MSG_LEN 1024

/** @name Type identidifers for atomic data types
 ** @{ */

#define VL_TYPE_FLOAT   1     /**< @c float type */
#define VL_TYPE_DOUBLE  2     /**< @c double type */
#define VL_TYPE_INT8    3     /**< @c ::vl_int8 type */
#define VL_TYPE_UINT8   4     /**< @c ::vl_uint8 type */
#define VL_TYPE_INT16   5     /**< @c ::vl_int16 type */
#define VL_TYPE_UINT16  6     /**< @c ::vl_uint16 type */
#define VL_TYPE_INT32   7     /**< @c ::vl_int32 type */
#define VL_TYPE_UINT32  8     /**< @c ::vl_uint32 type */
#define VL_TYPE_INT64   9     /**< @c ::vl_int64 type */
#define VL_TYPE_UINT64  10    /**< @c ::vl_uint64 type */

typedef vl_uint32 vl_type ;

/** @brief Get the name of a data type.
 ** @param type data type.
 ** @return data name of the data type.
 **
 ** @c type is one of ::VL_TYPE_FLOAT, ::VL_TYPE_DOUBLE,
 ** ::VL_TYPE_INT8, ::VL_TYPE_INT16, ::VL_TYPE_INT32, ::VL_TYPE_INT64,
 ** ::VL_TYPE_UINT8, ::VL_TYPE_UINT16, ::VL_TYPE_UINT32, ::VL_TYPE_UINT64.
 **/

VL_INLINE char const *
vl_get_type_name (vl_type type)
{
  switch (type) {
    case VL_TYPE_FLOAT   : return "float"  ;
    case VL_TYPE_DOUBLE  : return "double" ;
    case VL_TYPE_INT8    : return "int8"   ;
    case VL_TYPE_INT16   : return "int16"  ;
    case VL_TYPE_INT32   : return "int32"  ;
    case VL_TYPE_INT64   : return "int64"  ;
    case VL_TYPE_UINT8   : return "int8"   ;
    case VL_TYPE_UINT16  : return "int16"  ;
    case VL_TYPE_UINT32  : return "int32"  ;
    case VL_TYPE_UINT64  : return "int64"  ;
    default: return NULL ;
  }
}

/** @brief Get data type size.
 ** @param type data type.
 ** @return size (in byte)
 **
 ** @c type is one of ::VL_TYPE_FLOAT, ::VL_TYPE_DOUBLE,
 ** ::VL_TYPE_INT8, ::VL_TYPE_INT16, ::VL_TYPE_INT32, ::VL_TYPE_INT64,
 ** ::VL_TYPE_UINT8, ::VL_TYPE_UINT16, ::VL_TYPE_UINT32, ::VL_TYPE_UINT64.
 **/

VL_INLINE vl_size
vl_get_type_size (vl_type type)
{
  vl_size dataSize = 0 ;
  switch (type) {
    case VL_TYPE_DOUBLE : dataSize = sizeof(double) ; break ;
    case VL_TYPE_FLOAT  : dataSize = sizeof(float) ; break ;
    case VL_TYPE_INT64  : case VL_TYPE_UINT64 : dataSize = sizeof(vl_int64) ; break ;
    case VL_TYPE_INT32  : case VL_TYPE_UINT32 : dataSize = sizeof(vl_int32) ; break ;
    case VL_TYPE_INT16  : case VL_TYPE_UINT16 : dataSize = sizeof(vl_int16) ; break ;
    case VL_TYPE_INT8   : case VL_TYPE_UINT8  : dataSize = sizeof(vl_int8)  ; break ;
    default:
      abort() ;
  }
  return dataSize ;
}

/** @} */

/** ------------------------------------------------------------------
 ** @name Library state and configuration
 ** @{ */

/** @internal @brief VLFeat thread state */
typedef struct _VlThreadSpecificState
{
  /* errors */
  int lastError ;
  char lastErrorMessage [VL_ERR_MSG_LEN] ;

  /* random number generator */
  VlRand rand ;

  /* time */
#if defined(VL_OS_WIN)
  LARGE_INTEGER ticFreq ;
  LARGE_INTEGER ticMark ;
#else
  clock_t ticMark ;
#endif
} VlThreadSpecificState ;

/** @internal @brief VLFeat global state */
typedef struct _VlState
{

#if ! defined(VL_DISABLE_THREADS)
#if   defined(VL_THREADS_POSIX)
  pthread_key_t threadKey ;
  pthread_mutex_t mutex ;
  pthread_t mutexOwner ;
  pthread_cond_t mutexCondition ;
  size_t mutexCount ;
#elif defined(VL_THREADS_WIN)
  DWORD tlsIndex ;
  CRITICAL_SECTION mutex ;
#endif
#else
  VlThreadSpecificState * threadState ;
#endif

  int   (*printf_func)  (char const * format, ...) ;
  void *(*malloc_func)  (size_t) ;
  void *(*realloc_func) (void*,size_t) ;
  void *(*calloc_func)  (size_t, size_t) ;
  void  (*free_func)    (void*) ;

#if defined(VL_ARCH_IX86) || defined(VL_ARCH_X64) || defined(VL_ARCH_IA64)
  VlX86CpuInfo cpuInfo ;
#endif
  vl_size numCPUs ;

  vl_bool simdEnabled ;
  vl_size maxNumThreads ;

} VlState ;

/** @internal @brief VLFeat global state */
VL_EXPORT VlState _vl_state ;

VL_INLINE VlState * vl_get_state () ;
VL_INLINE VlThreadSpecificState * vl_get_thread_specific_state () ;
VL_EXPORT void vl_lock_state () ;
VL_EXPORT void vl_unlock_state () ;
VL_EXPORT VlThreadSpecificState * vl_thread_specific_state_new () ;
VL_EXPORT void vl_thread_specific_state_delete (VlThreadSpecificState * self) ;
VL_EXPORT char const * vl_get_version_string () ;
VL_EXPORT char * vl_configuration_to_string_copy () ;
VL_INLINE void vl_set_simd_enabled (vl_bool x) ;
VL_INLINE vl_bool vl_get_simd_enabled () ;
VL_INLINE vl_bool vl_cpu_has_sse3 () ;
VL_INLINE vl_bool vl_cpu_has_sse2 () ;
VL_INLINE vl_size vl_get_num_cpus () ;
VL_EXPORT VlRand * vl_get_rand () ;

/** @} */

/** ------------------------------------------------------------------
 ** @name Error handling
 ** @{ */

#define VL_ERR_OK       0  /**< No error */
#define VL_ERR_OVERFLOW 1  /**< Buffer overflow error */
#define VL_ERR_ALLOC    2  /**< Resource allocation error */
#define VL_ERR_BAD_ARG  3  /**< Bad argument or illegal data error */
#define VL_ERR_IO       4  /**< Input/output error */
#define VL_ERR_EOF      5  /**< End-of-file or end-of-sequence error */
#define VL_ERR_NO_MORE  5  /**< End-of-sequence @deprecated */

VL_INLINE int vl_get_last_error () ;
VL_INLINE char const *  vl_get_last_error_message () ;
VL_EXPORT int vl_set_last_error (int error, char const * errorMessage, ...) ;

/** @} */

/** ------------------------------------------------------------------
 ** @name Memory allocation
 ** @{ */

VL_EXPORT void
vl_set_alloc_func (void *(*malloc_func)  (size_t),
                   void *(*realloc_func) (void*,size_t),
                   void *(*calloc_func)  (size_t, size_t),
                   void  (*free_func)    (void*)) ;
VL_INLINE void *vl_malloc  (size_t n) ;
VL_INLINE void *vl_realloc (void *ptr, size_t n) ;
VL_INLINE void *vl_calloc  (size_t n, size_t size) ;
VL_INLINE void  vl_free    (void* ptr) ;

/** @} */

/** ------------------------------------------------------------------
 ** @name Logging
 ** @{ */

/** ------------------------------------------------------------------
 ** @brief Customizable printf function pointer type */
typedef int(*printf_func_t) (char const *format, ...) ;

/** @brief Set printf function
 ** @param printf_func  pointer to @c printf.
 ** Let @c print_func be NULL to disable printf.
 **/
VL_EXPORT void vl_set_printf_func (printf_func_t printf_func) ;

/** @def VL_PRINTF
 ** @brief Call user-customizable @c printf function
 **
 ** The function calls the user customizable @c printf.
 **/
#define VL_PRINTF (*vl_get_state()->printf_func)

/** @def VL_PRINT
 ** @brief Same as ::VL_PRINTF (legacy code)
 **/
#define VL_PRINT (*vl_get_state()->printf_func)

/** @} */

/** ------------------------------------------------------------------
 ** @name Common operations
 ** @{ */

/** @brief Min operation
 ** @param x value
 ** @param y value
 ** @return the minimum of @a x and @a y.
 **/
#define VL_MIN(x,y) (((x)<(y))?(x):(y))

/** @brief Max operation
 ** @param x value.
 ** @param y value.
 ** @return the maximum of @a x and @a y.
 **/
#define VL_MAX(x,y) (((x)>(y))?(x):(y))

/** @brief Signed left shift operation
 **
 ** The macro is equivalent to the builtin @c << operator, but it
 ** supports negative shifts too.
 **
 ** @param x value.
 ** @param n number of shift positions.
 ** @return @c x << n .
 **/
#define VL_SHIFT_LEFT(x,n) (((n)>=0)?((x)<<(n)):((x)>>-(n)))
/* @} */

/** ------------------------------------------------------------------
 ** @name Measuring time
 ** @{
 **/
VL_EXPORT void vl_tic () ;
VL_EXPORT double vl_toc () ;
VL_EXPORT double vl_get_cpu_time () ;
/** @} */

/* -------------------------------------------------------------------
 *                                                    Inline functions
 * ---------------------------------------------------------------- */

VL_INLINE VlState *
vl_get_state ()
{
  return &_vl_state ;
}

VL_INLINE VlThreadSpecificState *
vl_get_thread_specific_state ()
{
#ifdef VL_DISABLE_THREADS
  return vl_get_state()->threadState ;
#else
  VlState * state ;
  VlThreadSpecificState * threadState ;

  vl_lock_state() ;
  state = vl_get_state() ;

#if defined(VL_THREADS_POSIX)
  threadState = (VlThreadSpecificState *) pthread_getspecific(state->threadKey) ;
#elif defined(VL_THREADS_WIN)
  threadState = (VlThreadSpecificState *) TlsGetValue(state->tlsIndex) ;
#endif

  if (! threadState) {
    threadState = vl_thread_specific_state_new () ;
  }

#if defined(VL_THREADS_POSIX)
  pthread_setspecific(state->threadKey, threadState) ;
#elif defined(VL_THREADS_WIN)
  TlsSetValue(state->tlsIndex, threadState) ;
#endif

  vl_unlock_state() ;
  return threadState ;
#endif
}

VL_INLINE void
vl_set_simd_enabled (vl_bool x)
{
  vl_get_state()->simdEnabled = x ;
}

VL_INLINE vl_bool
vl_get_simd_enabled ()
{
  return vl_get_state()->simdEnabled ;
}

VL_INLINE vl_bool
vl_cpu_has_sse3 ()
{
#if defined(VL_ARCH_IX86) || defined(VL_ARCH_X64) || defined(VL_ARCH_IA64)
  return vl_get_state()->cpuInfo.hasSSE3 ;
#else
  return 0 ;
#endif
}

VL_INLINE vl_bool
vl_cpu_has_sse2 ()
{
#if defined(VL_ARCH_IX86) || defined(VL_ARCH_X64) || defined(VL_ARCH_IA64)
  return vl_get_state()->cpuInfo.hasSSE2 ;
#else
  return 0 ;
#endif
}

VL_INLINE vl_size
vl_get_num_cpus ()
{
  return vl_get_state()->numCPUs ;
}

VL_INLINE int
vl_get_last_error () {
  return vl_get_thread_specific_state()->lastError ;
}

VL_INLINE char const *
vl_get_last_error_message ()
{
  return vl_get_thread_specific_state()->lastErrorMessage ;
}

VL_INLINE void*
vl_malloc (size_t n)
{
  return (vl_get_state()->malloc_func)(n) ;
}

VL_INLINE void*
vl_realloc (void* ptr, size_t n)
{
  return (vl_get_state()->realloc_func)(ptr, n) ;
}

VL_INLINE void*
vl_calloc (size_t n, size_t size)
{
  return (vl_get_state()->calloc_func)(n, size) ;
}

VL_INLINE void
vl_free (void *ptr)
{
  (vl_get_state()->free_func)(ptr) ;
}

/* VL_GENERIC_H */
#endif
vlfeat-0.9.16/vl/getopt_long.c000066400000000000000000000217341203326130700162020ustar00rootroot00000000000000/** @file getopt_long.c
 ** @brief getopt_long - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**
@file   getopt_long.h
@brief  getopt_long
@author Andrea Vedaldi

This is a drop-in replacament of GNU getopt_long meant to be used
on platforms that do not support such functionality.
**/

#include 
#include 
#include 

#include "generic.h"
#include "getopt_long.h"

int    opterr = 1 ;
int    optind = 1 ;
int    optopt ;
char * optarg ;
int    optreset ;

#define BADCH	'?'
#define BADARG	':'
#define EEND    -1
#define EMSG	""

/** @brief Parse long options (BSD style)
 ** @param argc number of arguments.
 ** @param argv pointer to the vector of arguments.
 ** @param optstring list of abbreviated options
 ** @param longopts list of long options.
 ** @param longindex index of current option in @a longopts.
 ** @return the code of the next option.
 **
 ** This function extract long and short options from the argument
 ** list @a argv of @a argc entries.
 **
 ** A short options sequence is introduced by a single dash character
 ** @c -. Each short option is described by a single character in the
 ** string @a optstring, possibly followed by a @c : character to
 ** denote a (mandatory) argument of the short option. A short option
 ** with an argument cannot appear in the middle of a short option
 ** sequence, but only at the end.
 **
 ** A long option is introduced by a double dash @c --. Each long
 ** option is described by an instance of the ::option structure in
 ** the @a longopts table (the last entry must be filled with zeroes
 ** to denote the end).
 **
 ** Illegal options and missing arguments cause the function to skip
 ** the option and return '?'. If ::opterr is @c true (default), the
 ** function prints an error message to @a stderr. Finally, if @a
 ** optstring has a leading @c :, then error messages are suppressed
 ** and a missing argument causes @a : to be returned.
 **
 ** @remark The function is currently not thread safe.
 **/

VL_EXPORT int
getopt_long(int argc, char *const argv[],
            const char *optstring,
            const struct option * longopts,
            int *longindex)
{
  static char *place = EMSG;	/* option letter processing */
  static int   optbegin  = 0 ;
  static int   optend    = 0 ;
  char        *oli;		/* option letter list index */
  int          has_colon = 0 ;
  int          ret_val   = 0 ;

  /*
     A semicolon at the beginning of optstring has a special meaning.
     If we find one, we annote and remove it.
  */
  has_colon = optstring && optstring[0] == ':' ;
  if (has_colon) ++ optstring ;

  /*
   Here we are either processing a short option sequence or
   we start processing a new option. This is indicated by optreset.
  */

  if (optreset || *place == '\0') {

    /* ---------------------------------------------------------------
     *                                 Look for next short/long option
     * ------------------------------------------------------------ */
    optreset = 0 ;

    /* no more arguments ? */
    if (optind >= argc) {
      place = EMSG ;
      return -1 ;
    }

    /* next argument that may hold an option */
    optbegin = optind ;

    /* ---------------------------------------------------------------
     *                                     Look for an option to parse
     * ------------------------------------------------------------ */

  parse_option_at_optbegin :

    /* place points to the candidate option */
    place = argv [optbegin] ;

    /* an option is introduced by '-' */
    if (place [0] != '-') {
      /* this argument is not an option: try next argument */
      ++ optbegin ;
      if (optbegin >= argc) {
        /* no more arguments to look for options */
        place = EMSG ;
        return -1 ;
      }
      goto parse_option_at_optbegin ;
    }

    /* consume leading `-' */
    ++ place ;

    /* assume the option is composed of one argument only */
    optend = optbegin + 1 ;

    /* assume no argument */
    optarg = 0 ;

    /* ---------------------------------------------------------------
     *                                                     option `--'
     * ------------------------------------------------------------ */

    /* this special option (void long option) ends the option processing */
    if (place[0]        &&
        place[0] == '-' &&
        place[1] == '\0') {

      optind  = optend ;
      place   = EMSG ;
      ret_val = -1 ;
      goto done_option ;
    }

    /* ---------------------------------------------------------------
     *                                                     long option
     * ------------------------------------------------------------ */

    if (place[0]        &&
        place[0] == '-' &&
        place[1] ) {

      size_t namelen ;
      int i ;

      /* consume second `-' */
      ++ place ;

      /* count characters before `=' */
      namelen = strcspn(place, "=") ;

      /* scan longopts for this option */
      for (i = 0 ; longopts[i].name != NULL ; ++ i) {

        if (strlen  (       longopts[i].name) == namelen &&
            strncmp (place, longopts[i].name, namelen) == 0 ) {

          /* save back long option index */
          if (longindex) *longindex = i ;

          /* process long option argument */
          if (longopts[i].has_arg == required_argument ||
              longopts[i].has_arg == optional_argument) {

            /* --option=value style */
            if (place[namelen] == '=') {
              optarg = place + namelen + 1 ;
            }

            /* --option value style (only required_argument) */
            else if (longopts[i].has_arg == required_argument) {
              /* missing argument ? */
              if (optbegin >= argc - 1) {
                if (! has_colon && opterr)
                  fprintf(stderr,
                          "%s: option requires an argument -- %s\n",
                          argv[0], place);
                place   = EMSG ;
                ret_val = has_colon ? BADARG : BADCH ;
                goto done_option ;
              }
              optarg = argv [optend] ;
              ++ optend ;
            }
          }

          /* determine return value */
          if (longopts[i].flag == NULL) {
            ret_val = longopts[i].val ;
          }
          else {
            *longopts[i].flag = longopts[i].val;
            ret_val = 0 ;
          }

          /* mark sequence closed */
          place = EMSG ;
          goto done_option ;
        } /* if match */

      } /* scan longoptions */

      /* no matching option found */
      if (! has_colon && opterr)
        fprintf(stderr,
                "%s: illegal option -- %s\n", argv[0], place) ;
      place   = EMSG ;
      ret_val = BADCH ;
      goto done_option ;
    }
  } /* end new option */

  /* -----------------------------------------------------------------
   *                                      Finish short option sequence
   * -------------------------------------------------------------- */
  optopt = (int) *place++ ;

  /* search charcater in option list */
  oli = strchr(optstring, optopt);

  /* short option not found */
  if (!oli) {

    if (! has_colon && opterr)
      fprintf(stderr,
              "%s: illegal option -- %c\n",
              argv[0], optopt);

    if (*place) {
      /* more short options in the list */
      return BADCH ;
    }

    else {
      /* error occured as last option in the list */
      place   = EMSG ;
      ret_val = BADCH ;
      goto done_option ;
    }
  } /* end short option not found */

  if (oli[1] != ':') {
    /* short option with no argument */

    if (*place) {
      /* more short options in the list */
      return optopt ;
    }
    else {
      /* last option in the list */
      place   = EMSG ;
      ret_val = optopt ;
      goto done_option ;
    }

  } else {
    /* short option with argument */

    /* -ovalue style */
    if (*place) {
      optarg  = place ;
      place   = EMSG ;
      ret_val = optopt ;
      goto done_option ;
    }
    /* -o value style: missing argument */
    else if (optbegin >= argc - 1) {
      if (! has_colon && opterr)
        fprintf(stderr,
                "%s: option requires an argument -- %c\n",
                argv[0], optopt);
      place   = EMSG ;
      ret_val = has_colon ? BADARG : BADCH ;
      goto done_option ;
    }

    /* -o value style: process argument */
    optarg = argv [optend] ;
    ++ optend ;
    place   = EMSG ;
    ret_val = optopt ;
    goto done_option ;
  } /* short with argument */

 done_option :
  {
    int pos = optend - optbegin ;  /* n of circular shifts */
    int c   = pos ;

    while (c --) {
      int i ;
      char *tmp = argv [optend - 1] ;
      for (i = optend - 1 ; i > optind ; -- i) {
        ((char**)argv) [i] = argv [i-1] ;
      }
      ((char**)argv) [optind] = tmp ;
    }
    optind += pos ;
  }

  return ret_val ;
}
vlfeat-0.9.16/vl/getopt_long.h000066400000000000000000000027071203326130700162060ustar00rootroot00000000000000/** @file getopt_long.h
 ** @brief getopt_long
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_GETOPT_LONG_H
#define VL_GETOPT_LONG_H

#include "generic.h"

VL_EXPORT int    opterr ;   /**< code of the last error occured while parsing an option */
VL_EXPORT int    optind ;   /**< index of the next option to process in @c argv */
VL_EXPORT int    optopt ;   /**< current option */
VL_EXPORT char * optarg ;   /**< argument of the current option */
VL_EXPORT int    optreset ; /**< reset flag */

/** @brief ::getopt_long option */
struct option
{
  const char *name ;  /**< option long name */
  int	      has_arg ; /**< flag indicating whether the option has no, required or optional argument */
  int	     *flag ;    /**< pointer to a variable to set (if @c NULL, the value is returned instead) */
  int	      val ;     /**< value to set or to return */
} ;

#define no_argument       0 /**< ::option with no argument */
#define required_argument 1 /**< ::option with required argument */
#define optional_argument 2 /**< ::option with optional argument */

VL_EXPORT int getopt_long(int argc, char * const argv[],
                          const char * optstring,
                          const struct option * longopts, int * longindex);

/* VL_GETOPT_LONG_H */
#endif
vlfeat-0.9.16/vl/heap-def.h000066400000000000000000000325151203326130700153360ustar00rootroot00000000000000/** @file   heap-def.h
 ** @brief  Heap preprocessor metaprogram
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file heap-def.h

 A heap organizes an array of objects in a priority queue. This module
 is a template metaprogram that defines heap operations on array of
 generic objects, or even generic object containers.

 - @ref heap-def-overview "Overview"
   - @ref heap-def-overview-general "General usage"
 - @ref heap-def-tech "Technical details"

 
 @section heap-def-overview Overview
 

 To use @ref heap-def.h one must specify at least a prefix and the data
 type for the heap elements:

 @code
 #define VL_HEAP_prefix  my_heap
 #define VL_HEAP_type    float
 #include 
 @endcode

 This code fragment defines a number of functions prefixed by
 ::VL_HEAP_prefix, such as @c my_heap_push (::VL_HEAP_push) and @c
 my_heap_pop (::VL_HEAP_pop), that implement the heap operations.
 These functions operate on an array that has type ::VL_HEAP_array.
 By default, this is defined to be:

 @code
 #define VL_HEAP_array VL_HEAP_type*
 #define VL_HEAP_array_const VL_HEAP_type const*
 @endcode

 The array itself is accessed uniquely by means of two functions:

 - ::VL_HEAP_cmp, that compares two array elements. The default
   implementation assumes that ::VL_HEAP_type is numeric.
 - ::VL_HEAP_swap, that swaps two array elements. The default
   implementation assumes that ::VL_HEAP_type can be copied by the @c
   = operator.

 The heap state is a integer @c numElements (of type ::vl_size) counting
 the number of elements of the array that are currently part of the heap
 and the content of the first @c numElements elements of the array. The
 portion of the array that constitutes the heap satisfies a certain
 invariant property (heap property, @ref heap-def-tech). From a user
 viewpoint, the most important consequence is that the first element
 of the array (the one of index 0) is also the smallest (according to
 ::VL_HEAP_cmp).

 Elements are added to the heap by ::VL_HEAP_push and removed from the
 heap by ::VL_HEAP_pop.  A push operation adds to the heap the array
 element immediately after the last element already in the heap
 (i.e. the element of index @c numElements) and increases the number of
 heap elements @c numElements. Elements in the heap are swapped as required in
 order to maintain the heap consistency.  Similarly, a pop operation
 removes the first (smaller) element from the heap and decreases the
 number of heap elements @c numElements.

 The values of nodes currently in the heap can be updated by
 ::VL_HEAP_update. Notice however that using this function requires
 knowing the index of the element that needs to be updated up to the
 swapping operations that the heap performs to maintain
 consistency. Typically, this requires redefining ::VL_HEAP_swap to
 keep track of such changes (@ref heap-def-overview-general).

 
 @subsection heap-def-overview-general General usage
 

 The heap container may be mapped to any type by reimplementing
 ::VL_HEAP_cmp and ::VL_HEAP_swap explicitly. For instance
 the following code redefines ::VL_HEAP_cmp to deal with the case
 in which the heap is an array of structures:

 @code
 typedef struct _S { int x ; } S ;
 int s_cmp (S const * v, vl_uindex a, vl_uindex b) {
   return v[a].x - v[b].x ;
 }
 #define VL_HEAP_prefix  s_heap
 #define VL_HEAP_type    S
 #define VL_HEAP_cmp     s_cmp
 #include 
 @endcode

 In the following example, the heap itself is an arbitrary structure:

 @code
 typedef struct _H { int* array ; } H ;
 int h_cmp (H const * h, vl_uindex a, vl_uindex b) {
   return h->array[a] - h->array[b] ;
 }
 int h_swap (H * h, vl_uindex a, vl_uindex b) {
   int t = h->array[a] ;
   h->array[a] = h->array[b] ;
   h->array[b] = t ;
 }
 #define VL_HEAP_prefix  h_heap
 #define VL_HEAP_swap    h_swap
 #define VL_HEAP_cmp     h_cmp
 #include 
 @endcode

 
 @section heap-def-tech Technical details
 

 The heap is organised as a binary tree with the property (heap
 property) that any node is not larger than any of its
 children. In particular, the root is the smallest node.

 @ref heap-def.h uses the standard binary tree representation as a linear
 array. Tree nodes are mapped to array elements as follows:
 array[0] corresponds to the root, array[1]
 and array[2] to the root left and right children and so
 on.  In this way, the tree structure is fully specified by the total
 number of nodes N.

 Assuming that the heap has N nodes (from
 array[0] to array[N-1]), adding the node
 array[N] to the heap is done by a push down
 operation: if the node array[N] is smaller than its
 parent (violating the heap property) it is pushed down by swapping it
 with the parent, and so on recursively.

 Removing the smallest element array[0] with an heap of
 N nodes is done by swapping array[0] with
 array[N-1]. If then array[0] is larger than
 any of its children, it is swapped with the smallest of the two and
 so on recursively (push up operation).

 Restoring the heap property after an element array[i]
 has been modified can be done by a push up or push down operation on
 that node.

 **/

#include "host.h"
#include 

#ifndef VL_HEAP_prefix
#error "VL_HEAP_prefix must be defined"
#endif

#ifndef VL_HEAP_array
#ifndef VL_HEAP_type
#error "VL_HEAP_type must be defined if VL_HEAP_array is not"
#endif
#define VL_HEAP_array       VL_HEAP_type*
#define VL_HEAP_array_const VL_HEAP_type const*
#endif

#ifndef VL_HEAP_array_const
#define VL_HEAP_array_const VL_HEAP_array
#endif

#ifdef __DOXYGEN__
#define VL_HEAP_prefix  HeapObject       /**< Prefix of the heap functions */
#define VL_HEAP_type    HeapType         /**< Data type of the heap elements */
#define VL_HEAP_array   HeapType*        /**< Data type of the heap container */
#define VL_HEAP_array   HeapType const*  /**< Const data type of the heap container */
#endif

/* ---------------------------------------------------------------- */

#ifndef VL_HEAP_DEF_H
#define VL_HEAP_DEF_H

/** @internal @brief Get index of parent node
 ** @param index a node index.
 ** @return index of the parent node.
 **/

VL_INLINE vl_uindex
vl_heap_parent (vl_uindex index)
{
  if (index == 0) return 0 ;
  return (index - 1) / 2 ;
}

/** @internal @brief Get index of left child
 ** @param index a node index.
 ** @return index of the left child.
 **/

VL_INLINE vl_uindex
vl_heap_left_child (vl_uindex index)
{
  return 2 * index + 1 ;
}

/** @internal @brief Get index of right child
 ** @param index a node index.
 ** @return index of the right child.
 **/

VL_INLINE vl_uindex
vl_heap_right_child (vl_uindex index)
{
  return vl_heap_left_child (index) + 1 ;
}

/* VL_HEAP_DEF_H */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_cmp) || defined(__DOXYGEN__)
#define VL_HEAP_cmp VL_XCAT(VL_HEAP_prefix, _cmp)

/** @brief Compare two heap elements
 ** @param array heap array.
 ** @param indexA index of the first element @c A to compare.
 ** @param indexB index of the second element @c B to comapre.
 ** @return a negative number if @c AB.
 **/

VL_INLINE VL_HEAP_type
VL_HEAP_cmp
(VL_HEAP_array_const array,
 vl_uindex indexA,
 vl_uindex indexB)
{
  return array[indexA] - array[indexB] ;
}

/* VL_HEAP_cmp */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_swap) || defined(__DOXYGEN__)
#define VL_HEAP_swap VL_XCAT(VL_HEAP_prefix, _swap)

/** @brief Swap two heap elements
 ** @param array array of nodes.
 ** @param array heap array.
 ** @param indexA index of the first node to swap.
 ** @param indexB index of the second node to swap.
 **
 ** The function swaps the two heap elements @a a and @ b. The function
 ** uses a temporary element and the copy operator, which must be
 ** well defined for the heap elements.
 **/

VL_INLINE void
VL_HEAP_swap
(VL_HEAP_array array,
 vl_uindex indexA,
 vl_uindex indexB)
{
  VL_HEAP_type t = array [indexA] ;
  array [indexA] = array [indexB] ;
  array [indexB] = t ;
}

/* VL_HEAP_swap */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_up) || defined(__DOXYGEN__)
#define VL_HEAP_up VL_XCAT(VL_HEAP_prefix, _up)

/** @brief Heap up operation
 ** @param array pointer to the heap array.
 ** @param heapSize size of the heap.
 ** @param index index of the node to push up.
 **/

VL_INLINE void
VL_HEAP_up
(VL_HEAP_array array, vl_size heapSize, vl_uindex index)
{
  vl_uindex leftIndex  = vl_heap_left_child (index) ;
  vl_uindex rightIndex = vl_heap_right_child (index) ;

  /* no childer: stop */
  if (leftIndex >= heapSize) return ;

  /* only left childer: easy */
  if (rightIndex >= heapSize) {
    if (VL_HEAP_cmp (array, index, leftIndex) > 0) {
      VL_HEAP_swap (array, index, leftIndex) ;
    }
    return ;
  }

  /* both childern */
  {
    if (VL_HEAP_cmp (array, leftIndex, rightIndex) < 0) {
      /* swap with left */
      if (VL_HEAP_cmp (array, index, leftIndex) > 0) {
        VL_HEAP_swap (array, index, leftIndex) ;
        VL_HEAP_up (array, heapSize, leftIndex) ;
      }
    } else {
      /* swap with right */
      if (VL_HEAP_cmp (array, index, rightIndex) > 0) {
        VL_HEAP_swap (array, index, rightIndex) ;
        VL_HEAP_up (array, heapSize, rightIndex) ;
      }
    }
  }
}

/* VL_HEAP_up */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_down) || defined(__DOXYGEN__)
#define VL_HEAP_down VL_XCAT(VL_HEAP_prefix, _down)

/** @brief Heap down operation
 ** @param array pointer to the heap node array.
 ** @param index index of the node to push up.
 **/

VL_INLINE void
VL_HEAP_down
(VL_HEAP_array array, vl_uindex index)
{
  vl_uindex parentIndex ;

  if (index == 0) return  ;

  parentIndex = vl_heap_parent (index) ;

  if (VL_HEAP_cmp (array, index, parentIndex) < 0) {
    VL_HEAP_swap (array, index, parentIndex) ;
    VL_HEAP_down (array, parentIndex) ;
  }
}

/* VL_HEAP_down */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_push) || defined(__DOXYGEN__)
#define VL_HEAP_push VL_XCAT(VL_HEAP_prefix, _push)

/** @brief Heap push operation
 ** @param array pointer to the heap array.
 ** @param heapSize (in/out) size of the heap.
 **
 ** The function adds to the heap the element of index @c heapSize
 ** and increments @c heapSize.
 **/

VL_INLINE void
VL_HEAP_push
(VL_HEAP_array array, vl_size *heapSize)
{
  VL_HEAP_down (array, *heapSize) ;
  *heapSize += 1 ;
}

/* VL_HEAP_push */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_pop) || defined(__DOXYGEN__)
#define VL_HEAP_pop VL_XCAT(VL_HEAP_prefix, _pop)

/** @brief Heap pop operation
 ** @param array pointer to the heap array.
 ** @param heapSize (in/out) size of the heap.
 ** @return index of the popped element.
 **
 ** The function extracts from the heap the element of index 0
 ** (the smallest element) and decreases @c heapSize.
 **
 ** The element extracted is moved as the first element after
 ** the heap end (thus it has index @c heapSize). For convenience,
 ** this index is returned by the function.
 **
 ** Popping from an empty heap is undefined.
 **/

VL_INLINE vl_uindex
VL_HEAP_pop
(VL_HEAP_array array, vl_size *heapSize)
{
  assert (*heapSize) ;

  *heapSize -= 1 ;

  VL_HEAP_swap (array, 0, *heapSize) ;

  if (*heapSize > 1) {
    VL_HEAP_up (array, *heapSize, 0) ;
  }

  return *heapSize ;
}

/* VL_HEAP_pop */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_HEAP_update) || defined(__DOXYGEN__)
#define VL_HEAP_update VL_XCAT(VL_HEAP_prefix, _update)

/** @brief Heap update operation
 ** @param array pointer to the heap array.
 ** @param heapSize size of the heap.
 ** @param index index of the node to update.
 **
 ** The function updates the heap to account for a change to the
 ** element of index @c index in the heap.
 **
 ** Notice that using this
 ** function requires knowing the index of the heap index of
 ** element that was changed. Since the heap swaps elements in the
 ** array, this is in general different from the index that that
 ** element had originally.
 **/

VL_INLINE void
VL_HEAP_update
(VL_HEAP_array array,
 vl_size heapSize,
 vl_uindex index)
{
  VL_HEAP_up (array, heapSize, index) ;
  VL_HEAP_down (array, index) ;
}

/* VL_HEAP_update */
#endif

/* ---------------------------------------------------------------- */

#undef VL_HEAP_cmp
#undef VL_HEAP_swap
#undef VL_HEAP_up
#undef VL_HEAP_down
#undef VL_HEAP_push
#undef VL_HEAP_pop
#undef VL_HEAP_update
#undef VL_HEAP_prefix
#undef VL_HEAP_type
#undef VL_HEAP_array
#undef VL_HEAP_array_const
vlfeat-0.9.16/vl/hikmeans.c000066400000000000000000000166131203326130700154600ustar00rootroot00000000000000/** @file hikmeans.c
 ** @brief Hierarchical Integer K-Means Clustering - Declaration
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file hikmeans.h
 ** @brief Hierarchical integer K-Means clustering
 **
 ** Hierarchical integer K-Means clustering (HIKM) is a simple
 ** hierarchical version of integer K-Means (@ref ikmeans.h
 ** "IKM"). The algorithm recursively applies integer K-means to create
 ** more refined partitions of the data.
 **
 ** Create a tree with ::vl_hikm_new() and delete it with
 ** ::vl_hikm_delete(). Use ::vl_hikm_train() to build the tree
 ** from training data and ::vl_hikm_push() to project new data down
 ** a HIKM tree.
 **
 ** @section hikm-tree HIKM tree
 **
 ** The HIKM tree is represented by a ::VlHIKMTree structure, which
 ** contains a tree composed of ::VlHIKMNode. Each node is an
 ** integer K-means filter which partitions the data into @c K
 ** clusters.
 **/

#include 
#include 
#include 
#include 

#include "hikmeans.h"

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Copy a subset of the data to a buffer
 **
 ** @param data  Data
 ** @param ids   Data labels
 ** @param N     Number of indices
 ** @param M     Data dimensionality
 ** @param id    Label of data to copy
 ** @param N2    Number of data copied (out)
 **
 ** @return a new buffer with a copy of the selected data.
 **/

vl_uint8*
vl_hikm_copy_subset (vl_uint8 const * data,
                     vl_uint * ids,
                     int N, int M,
                     vl_uint id, int *N2)
{
  int i ;
  int count = 0;

  /* count how many data points with this label there are */
  for (i = 0 ; i < N ; i++)
    if (ids[i] == id)
      count ++ ;
  *N2 = count ;

  /* copy each datum to the buffer */
  {
    vl_uint8 * new_data = vl_malloc (sizeof(vl_uint8) * M * count);
    count = 0;
    for (i = 0 ; i < N ; i ++)
      if (ids[i] == id)
        {
          memcpy(new_data + count * M,
                 data     + i     * M,
                 sizeof(vl_uint8) * M);
          count ++ ;
        }
    *N2 = count ;
    return new_data ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Compute HIKM clustering.
 **
 ** @param tree   HIKM tree to initialize.
 ** @param data   Data to cluster.
 ** @param N      Number of data points.
 ** @param K      Number of clusters for this node.
 ** @param height Tree height.
 **
 ** @remark height cannot be smaller than 1.
 **
 ** @return a new HIKM node representing a sub-clustering.
 **/

static VlHIKMNode *
xmeans (VlHIKMTree *tree,
        vl_uint8 const *data,
        int N, int K, int height)
{
  VlHIKMNode *node = vl_malloc (sizeof(VlHIKMNode)) ;
  vl_uint     *ids = vl_malloc (sizeof(vl_uint) * N) ;

  node-> filter   = vl_ikm_new (tree -> method) ;
  node-> children = (height == 1) ? 0 : vl_malloc (sizeof(VlHIKMNode*) * K) ;

  vl_ikm_set_max_niters (node->filter, tree->max_niters) ;
  vl_ikm_set_verbosity  (node->filter, tree->verb - 1  ) ;
  vl_ikm_init_rand_data (node->filter, data, tree->M, N, K) ;
  vl_ikm_train          (node->filter, data, N) ;
  vl_ikm_push           (node->filter, ids, data, N) ;

  /* recurse for each child */
  if (height > 1) {
    int k ;
    for (k = 0 ; k < K ; k ++) {
      int partition_N ;
      int partition_K ;
      vl_uint8 *partition ;

      partition = vl_hikm_copy_subset
        (data, ids, N, tree->M, k, &partition_N) ;

      partition_K = VL_MIN (K, partition_N) ;

      node->children [k] = xmeans
        (tree, partition, partition_N, partition_K, height - 1) ;

      vl_free (partition) ;

      if (tree->verb > tree->depth - height) {
        VL_PRINTF("hikmeans: branch at depth %d: %6.1f %% completed\n",
                  tree->depth - height,
                  (double) (k+1) / K * 100) ;
      }
    }
  }

  vl_free (ids) ;
  return node ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Delete node
 **
 ** @param node to delete.
 **
 ** The function deletes recursively @a node and all its descendent.
 **/

static void
xdelete (VlHIKMNode *node)
{
  if(node) {
    int k ;
    if (node->children) {
      for(k = 0 ; k < vl_ikm_get_K (node->filter) ; ++k)
        xdelete (node->children[k]) ;
      vl_free (node->children) ;
    }
    if (node->filter)
      vl_ikm_delete (node->filter) ;
    vl_free(node);
  }
}

/** ------------------------------------------------------------------
 ** @brief New HIKM tree
 ** @param method clustering method.
 ** @return new HIKM tree.
 **/

VL_EXPORT
VlHIKMTree *
vl_hikm_new (int method)
{
  VlHIKMTree *f = vl_malloc (sizeof(VlHIKMTree)) ;
  f -> M          = 0 ;
  f -> K          = 0 ;
  f -> max_niters = 200 ;
  f -> method     = method ;
  f -> verb       = 0 ;
  f -> depth      = 0 ;
  f -> root       = 0 ;
  return f ;
}

/** ------------------------------------------------------------------
 ** @brief Delete HIKM tree
 ** @param f HIKM tree.
 **/

VL_EXPORT
void
vl_hikm_delete (VlHIKMTree *f)
{
  if (f) {
    xdelete (f -> root) ;
    vl_free (f) ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Initialize HIKM tree
 **
 ** @param f     HIKM tree.
 ** @param M     Data dimensionality.
 ** @param K     Number of clusters per node.
 ** @param depth Tree depth.
 **
 ** @remark @a depth cannot be smaller than 1.
 **
 ** @return a new HIKM tree representing the clustering.
 **/

VL_EXPORT
void
vl_hikm_init (VlHIKMTree *f, int M, int K, int depth)
{
  assert(depth > 0) ;
  assert(M     > 0) ;
  assert(K     > 0) ;

  xdelete (f -> root) ;
  f -> root = 0;

  f -> M = M ;
  f -> K = K ;
  f -> depth = depth ;
}

/** ------------------------------------------------------------------
 ** @brief Train HIKM tree
 ** @param f       HIKM tree.
 ** @param data    Data to cluster.
 ** @param N       Number of data.
 **/

VL_EXPORT
void
vl_hikm_train (VlHIKMTree *f, vl_uint8 const *data, int N)
{
  f -> root  = xmeans (f, data, N, VL_MIN(f->K, N), f->depth) ;
}

/** ------------------------------------------------------------------
 ** @brief Project data down HIKM tree
 **
 ** @param f    HIKM tree.
 ** @param asgn Path down the tree (out).
 ** @param data Data to project.
 ** @param N    Number of data.
 **
 ** The function writes to @a asgn the path of the data @a data
 ** down the HIKM tree @a f. The parameter @a asgn must point to
 ** an array of @c M by @c N elements, where @c M is the depth of
 ** the HIKM tree and @c N is the number of data point to process.
 **/

VL_EXPORT
void
vl_hikm_push (VlHIKMTree *f, vl_uint *asgn, vl_uint8 const *data, int N)
{
  int i, d,
    M = vl_hikm_get_ndims (f),
    depth = vl_hikm_get_depth (f) ;

  /* for each datum */
  for(i = 0 ; i < N ; i++) {
    VlHIKMNode *node = f->root ;
    d = 0 ;
    while (node) {
      /*
      vl_uint best =
        vl_ikm_push_one (vl_ikm_get_centers (node->filter),
                         data + i * M,
                         M,
                         vl_ikm_get_K (node->filter)) ;
      */

      vl_uint best ;
      vl_ikm_push (node->filter, &best, data + i * M, 1) ;

      asgn [i*depth + d] = best ;
      ++ d ;

      if (!node->children) break ;
      node = node->children [best] ;
    }
  }
}
vlfeat-0.9.16/vl/hikmeans.h000066400000000000000000000103161203326130700154570ustar00rootroot00000000000000/** @file hikmeans.h
 ** @brief Hierarchical Integer K-Means Clustering
 ** @author Brian Fulkerson
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_HIKMEANS_H
#define VL_HIKMEANS_H

#include "generic.h"
#include "ikmeans.h"

struct _VLHIKMTree ;
struct _VLHIKMNode ;

/** @brief HIKM tree node
 **
 ** The number of children @a K is not bigger than the @a K parameter
 ** of the HIKM tree.
 **/
typedef struct _VlHIKMNode
{
  VlIKMFilt *filter ;             /**< IKM filter for this node*/
  struct _VlHIKMNode **children ; /**< Node children (if any) */
} VlHIKMNode ;

/** @brief HIKM tree */
typedef struct _VlHIKMTree {
  int M ;               /**< IKM: data dimensionality */
  int K ;               /**< IKM: K */
  int max_niters ;      /**< IKM: maximum # of iterations */
  int method ;          /**< IKM: method */
  int verb ;            /**< Verbosity level */

  int depth ;           /**< Depth of the tree */
  VlHIKMNode * root;    /**< Tree root node */
} VlHIKMTree ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT VlHIKMTree  *vl_hikm_new    (int method) ;
VL_EXPORT void         vl_hikm_delete (VlHIKMTree *f) ;
/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE int vl_hikm_get_ndims      (VlHIKMTree const *f) ;
VL_INLINE int vl_hikm_get_K          (VlHIKMTree const *f) ;
VL_INLINE int vl_hikm_get_depth      (VlHIKMTree const *f) ;
VL_INLINE int vl_hikm_get_verbosity  (VlHIKMTree const *f) ;
VL_INLINE int vl_hikm_get_max_niters (VlHIKMTree const *f) ;
VL_INLINE VlHIKMNode const * vl_hikm_get_root (VlHIKMTree const *f) ;
/** @} */

/** @name Set parameters
 ** @{
 **/
VL_INLINE void vl_hikm_set_verbosity  (VlHIKMTree *f, int verb) ;
VL_INLINE void vl_hikm_set_max_niters (VlHIKMTree *f, int max_niters) ;
/** @} */

/** @name Process data
 ** @{
 **/
VL_EXPORT void vl_hikm_init  (VlHIKMTree *f, int M, int K, int depth) ;
VL_EXPORT void vl_hikm_train (VlHIKMTree *f, vl_uint8 const *data, int N) ;
VL_EXPORT void vl_hikm_push  (VlHIKMTree *f, vl_uint *asgn, vl_uint8 const *data, int N) ;
/** @} */

/** ------------------------------------------------------------------
 ** @brief Get data dimensionality
 ** @param f HIKM tree.
 ** @return data dimensionality.
 **/

VL_INLINE int
vl_hikm_get_ndims (VlHIKMTree const* f)
{
  return f-> M ;
}

/** ------------------------------------------------------------------
 ** @brief Get K
 ** @param f HIKM tree.
 ** @return K.
 **/

VL_INLINE int
vl_hikm_get_K (VlHIKMTree const* f)
{
  return f-> K ;
}

/** ------------------------------------------------------------------
 ** @brief Get depth
 ** @param f HIKM tree.
 ** @return depth.
 **/

VL_INLINE int
vl_hikm_get_depth (VlHIKMTree const* f)
{
  return f-> depth ;
}


/** ------------------------------------------------------------------
 ** @brief Get verbosity level
 ** @param f HIKM tree.
 ** @return verbosity level.
 **/

VL_INLINE int
vl_hikm_get_verbosity (VlHIKMTree const* f)
{
  return f-> verb ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of iterations
 ** @param f HIKM tree.
 ** @return maximum number of iterations.
 **/

VL_INLINE int
vl_hikm_get_max_niters (VlHIKMTree const* f)
{
  return f-> max_niters ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of iterations
 ** @param f HIKM tree.
 ** @return maximum number of iterations.
 **/

VL_INLINE VlHIKMNode const *
vl_hikm_get_root (VlHIKMTree const* f)
{
  return f-> root ;
}

/** ------------------------------------------------------------------
 ** @brief Set verbosity level
 ** @param f    HIKM tree.
 ** @param verb verbosity level.
 **/

VL_INLINE void
vl_hikm_set_verbosity (VlHIKMTree *f, int verb)
{
  f-> verb = verb ;
}

/** ------------------------------------------------------------------
 ** @brief Set maximum number of iterations
 ** @param f          HIKM tree.
 ** @param max_niters maximum number of iterations.
 **/

VL_INLINE void
vl_hikm_set_max_niters (VlHIKMTree *f, int max_niters)
{
  f-> max_niters = max_niters ;
}

/* VL_HIKMEANS_H */
#endif
vlfeat-0.9.16/vl/hog.c000066400000000000000000001120571203326130700144350ustar00rootroot00000000000000/** @file hog.c
 ** @brief Histogram of Oriented Gradients (HOG) - Definition
 ** @author Andrea Vedaldi
 **/

/*
 Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
 All rights reserved.

 This file is part of the VLFeat library and is made available under
 the terms of the BSD license (see the COPYING file).
*/

#include "hog.h"
#include "mathop.h"
#include 

/**


@page hog Histogram of Oriented Gradients (HOG) features
@author Andrea Vedaldi


@ref hog.h implements the Histogram of Oriented Gradients (HOG) features
in the variants of Dalal Triggs @cite{dalal05histograms} and of UOCTTI
@cite{felzenszwalb09object}. Applications include object detection
and deformable object detection.

- @ref hog-overview
- @ref hog-tech


@section hog-overview Overview


HOG is a standard image feature used, among others, in object detection
and deformable object detection. It decomposes the image into square cells
of a given size (typically eight pixels), compute a histogram of oriented
gradient in each cell (similar to @ref sift), and then renormalizes
the cells by looking into adjacent blocks.

VLFeat implements two HOG variants: the original one of Dalal-Triggs
@cite{dalal05histograms} and the one proposed in Felzenszwalb et al.
@cite{felzenszwalb09object}.

In order to use HOG, start by creating a new HOG object, set the desired
parameters, pass a (color or grayscale) image, and read off the results.

@code
VlHog * hog = vl_hog_new(VlHogVariantDalalTriggs, numOrientations, VL_FALSE) ;
vl_hog_put_image(hog, image, height, width, numChannels, cellSize) ;
hogWidth = vl_hog_get_width(hog) ;
hogHeight = vl_hog_get_height(hog) ;
hogDimenison = vl_hog_get_dimension(hog) ;
hogArray = vl_malloc(hogWidth*hogHeight*hogDimension*sizeof(float)) ;
vl_hog_extract(hog, hogArray) ;
vl_hog_delete(hog) ;
@endcode

HOG is a feature array of the dimension returned by ::vl_hog_get_width,
::vl_hog_get_height, with each feature (histogram) having
dimension ::vl_hog_get_dimension. The array is stored in row major order,
with the slowest varying dimension beying the dimension indexing the histogram
elements.

The number of entreis in the histogram as well as their meaning depends
on the HOG variant and is detailed later. However, it is usually
unnecessary to know such details. @ref hog.h provides support for
creating an inconic representation of a HOG feature array:

@code
glyphSize = vl_hog_get_glyph_size(hog) ;
imageHeight = glyphSize * hogArrayHeight ;
imageWidth = glyphSize * hogArrayWidth ;
image = vl_malloc(sizeof(float)*imageWidth*imageHeight) ;
vl_hog_render(hog, image, hogArray) ;
@endcode

It is often convenient to mirror HOG features from left to right. This
can be obtained by mirroring an array of HOG cells, but the content
of each cell must also be rearranged. This can be done by
the permutation obtaiend by ::vl_hog_get_permutation.

Furthermore, @ref hog.h suppots computing HOG features not from
images but from vector fields ::vl_


@section hog-tech Technical details


HOG divdes the input image into square cells of size @c cellSize,
fitting as many cells as possible, filling the image domain from
the upper-left corner down to the right one. For each row and column,
the last cell is at least half contained in the image.
More precisely, the number of cells obtained in this manner is:

@code
hogWidth = (width + cellSize/2) / cellSize ;
hogHeight = (height + cellSize/2) / cellSize ;
@endcode

Then the image gradient @f$ \nabla \ell(x,y) @f$
is computed by using central difference (for colour image
the channel with the largest gradient at that pixel is used).
The gradient @f$ \nabla \ell(x,y) @f$ is assigned to one of @c 2*numOrientations orientation in the
range @f$ [0,2\pi) @f$ (see @ref hog-conventions for details).
Contributions are then accumulated by using bilinear interpolation
to four neigbhour cells, as in @ref sift.
This results in an histogram  @f$h_d@f$ of dimension
2*numOrientations, called of @e directed orientations
since it accounts for the direction as well as the orientation
of the gradient. A second histogram @f$h_u@f$ of undirected orientations
of half the size is obtained by folding @f$ h_d @f$ into two.

Let a block of cell be a @f$ 2\times 2 @f$ sub-array of cells.
Let the norm of a block be the @f$ l^2 @f$ norm of the stacking of the
respective unoriented histogram. Given a HOG cell, four normalisation
factors are then obtained as the inverse of the norm of the four
blocks that contain the cell.

For the Dalal-Triggs variant, each histogram @f$ h_d @f$ is copied
four times, normalised using the four different normalisation factors,
the four vectors are stacked, saturated at 0.2, and finally stored as the descriptor
of the cell. This results in a @c numOrientations * 4 dimensional
cell descriptor. Blocks are visited from left to right and top to bottom
when forming the final descriptor.

For the UOCCTI descriptor, the same is done for both the undirected
as well as the directed orientation histograms. This would yield
a dimension of @c 4*(2+1)*numOrientations elements, but the resulting
vector is projected down to @c (2+1)*numOrientations elements
by averaging corresponding histogram dimensions. This was shown to
be an algebraic approximation of PCA for descriptors computed on natural
images.

In addition, for the UOCTTI variant the l1 norm of each of the
four l2 normalised undirected histograms is computed and stored
as additional four dimensions, for a total of
@c 4+3*numOrientations dimensions.


@subsection hog-conventions Conventions


The orientation of a gradient is expressed as the angle it forms with the
horizontal axis of the image. Angles are measured clock-wise (as the vertical
image axis points downards), and the null angle corresponds to
an horizontal vector pointing right. The quantized directed
orientations are @f$ \mathrm{k} \pi / \mathrm{numOrientations} @f$, where
@c k is an index that varies in the ingeger
range @f$ \{0, \dots, 2\mathrm{numOrientations} - 1\} @f$.

Note that the orientations capture the orientation of the gradeint;
image edges would be oriented at 90 degrees from these.

**/

/* ---------------------------------------------------------------- */
/** @brief Create a new HOG object
 ** @param variant HOG descriptor variant.
 ** @param numOrientations number of distinguished orientations.
 ** @param transposed wether images are transposed (column major).
 ** @return the new HOG object.
 **
 ** The function creates a new HOG object to extract descriptors of
 ** the prescribed @c variant. The angular resolution is set by
 ** @a numOrientations, which specifies the number of undirected
 ** orientations. The object can work with column major images
 ** by setting @a transposed to true.
 **/

VlHog *
vl_hog_new (VlHogVariant variant, vl_size numOrientations, vl_bool transposed)
{
  vl_index o, k ;
  VlHog * self = vl_calloc(1, sizeof(VlHog)) ;

  assert(numOrientations >= 1) ;

  self->variant = variant ;
  self->numOrientations = numOrientations ;
  self->glyphSize = 21 ;
  self->transposed = transposed ;
  self->useBilinearOrientationAssigment = VL_FALSE ;
  self->orientationX = vl_malloc(sizeof(float) * self->numOrientations) ;
  self->orientationY = vl_malloc(sizeof(float) * self->numOrientations) ;

  /*
   Create a vector along the center of each orientation bin. These
   are used to map gradients to bins. If the image is transposed,
   then this can be adjusted here by swapping X and Y in these
   vectors.
   */
  for(o = 0 ; o < (signed)self->numOrientations ; ++o) {
    double angle = o * VL_PI / self->numOrientations ;
    if (!self->transposed) {
      self->orientationX[o] = (float) cos(angle) ;
      self->orientationY[o] = (float) sin(angle) ;
    } else {
      self->orientationX[o] = (float) sin(angle) ;
      self->orientationY[o] = (float) cos(angle) ;
    }
  }

  /*
   If the number of orientation is equal to 9, one gets:

   Uoccti:: 18 directed orientations + 9 undirected orientations + 4 texture
   DalalTriggs:: 9 undirected orientations x 4 blocks.
   */
  switch (self->variant) {
    case VlHogVariantUoctti:
      self->dimension = 3*self->numOrientations + 4 ;
      break ;

    case VlHogVariantDalalTriggs:
      self->dimension = 4*self->numOrientations ;
      break ;

    default:
      assert(0) ;
  }

  /*
   A permutation specifies how to permute elements in a HOG
   descriptor to flip it horizontally. Since the first orientation
   of index 0 points to the right, this must be swapped with orientation
   self->numOrientation that points to the left (for the directed case,
   and to itself for the undirected one).
   */

  self->permutation = vl_malloc(self->dimension * sizeof(vl_index)) ;
  switch (self->variant) {
    case VlHogVariantUoctti:
      for(o = 0 ; o < (signed)self->numOrientations ; ++o) {
        vl_index op = self->numOrientations - o ;
        self->permutation[o] = op ;
        self->permutation[o + self->numOrientations] = (op + self->numOrientations) % (2*self->numOrientations) ;
        self->permutation[o + 2*self->numOrientations] = (op % self->numOrientations) + 2*self->numOrientations ;
      }
      for (k = 0 ; k < 4 ; ++k) {
        /* The texture features correspond to four displaced block around
         a cell. These permute with a lr flip as for DalalTriggs. */
        vl_index blockx = k % 2 ;
        vl_index blocky = k / 2 ;
        vl_index q = (1 - blockx) + blocky * 2 ;
        self->permutation[k + self->numOrientations * 3] = q + self->numOrientations * 3 ;
      }
      break ;

    case VlHogVariantDalalTriggs:
      for(k = 0 ; k < 4 ; ++k) {
        /* Find the corresponding block. Blocks are listed in order 1,2,3,4,...
           from left to right and top to bottom */
        vl_index blockx = k % 2 ;
        vl_index blocky = k / 2 ;
        vl_index q = (1 - blockx) + blocky * 2 ;
        for(o = 0 ; o < (signed)self->numOrientations ; ++o) {
          vl_index op = self->numOrientations - o ;
          self->permutation[o + k*self->numOrientations] = (op % self->numOrientations) + q*self->numOrientations ;
        }
      }
      break ;

    default:
      assert(0) ;
  }

  /*
   Create glyphs for representing the HOG features/ filters. The glyphs
   are simple bars, oriented orthogonally to the gradients to represent
   image edges. If the object is configured to work on transposed image,
   the glyphs images are also stored in column-major.
   */
  self->glyphs = vl_calloc(self->glyphSize * self->glyphSize * self->numOrientations, sizeof(float)) ;
#define atglyph(x,y,k) self->glyphs[(x) + self->glyphSize * (y) + self->glyphSize * self->glyphSize * (k)]
  for (o = 0 ; o < (signed)self->numOrientations ; ++o) {
    double angle = fmod(o * VL_PI / self->numOrientations + VL_PI/2, VL_PI) ;
    double x2 = self->glyphSize * cos(angle) / 2 ;
    double y2 = self->glyphSize * sin(angle) / 2 ;

    if (angle <= VL_PI / 4 || angle >= VL_PI * 3 / 4) {
      /* along horizontal direction */
      double slope = y2 / x2 ;
      double offset = (1 - slope) * (self->glyphSize - 1) / 2 ;
      vl_index skip = (1 - fabs(cos(angle))) / 2 * self->glyphSize ;
      vl_index i, j ;
      for (i = skip ; i < (signed)self->glyphSize - skip ; ++i) {
        j = vl_round_d(slope * i + offset) ;
        if (! self->transposed) {
          atglyph(i,j,o) = 1 ;
        } else {
          atglyph(j,i,o) = 1 ;
        }
      }
    } else {
      /* along vertical direction */
      double slope = x2 / y2 ;
      double offset = (1 - slope) * (self->glyphSize - 1) / 2 ;
      vl_index skip = (1 - sin(angle)) / 2 * self->glyphSize ;
      vl_index i, j ;
      for (j = skip ; j < (signed)self->glyphSize - skip; ++j) {
        i = vl_round_d(slope * j + offset) ;
        if (! self->transposed) {
          atglyph(i,j,o) = 1 ;
        } else {
          atglyph(j,i,o) = 1 ;
        }
      }
    }
  }
  return self ;
}

/* ---------------------------------------------------------------- */
/** @brief Delete a HOG object
 ** @param self HOG object to delete.
 **/

void
vl_hog_delete (VlHog * self)
{
  if (self->orientationX) {
    vl_free(self->orientationX) ;
    self->orientationX = NULL ;
  }

  if (self->orientationY) {
    vl_free(self->orientationY) ;
    self->orientationY = NULL ;
  }

  if (self->glyphs) {
    vl_free(self->glyphs) ;
    self->glyphs = NULL ;
  }

  if (self->permutation) {
    vl_free(self->permutation) ;
    self->permutation = NULL ;
  }

  if (self->hog) {
    vl_free(self->hog) ;
    self->hog = NULL ;
  }

  if (self->hogNorm) {
    vl_free(self->hogNorm) ;
    self->hogNorm = NULL ;
  }

  vl_free(self) ;
}


/* ---------------------------------------------------------------- */
/** @brief Get HOG glyph size
 ** @param self HOG object.
 ** @return size (height and width) of a glyph.
 **/

vl_size
vl_hog_get_glyph_size (VlHog const * self)
{
  return self->glyphSize ;
}

/* ---------------------------------------------------------------- */
/** @brief Get HOG left-right flip permutation
 ** @param self HOG object.
 ** @return left-right permutation.
 **
 ** The function returns a pointer to an array @c permutation of ::vl_hog_get_dimension
 ** elements. Given a HOG descriptor (for a cell) @c hog, which is also
 ** a vector of ::vl_hog_get_dimension elements, the
 ** descriptor obtained for the same image flipped horizotnally is
 ** given by flippedHog[i] = hog[permutation[i]].
 **/

vl_index const *
vl_hog_get_permutation (VlHog const * self)
{
  return self->permutation ;
}

/* ---------------------------------------------------------------- */
/** @brief Set wether to use bilinear interpolation assignments
 ** @param self HOG object.
 ** @param @c true if orientations should be assigned with bilinear interpolation.
 **/

vl_bool
vl_hog_get_use_bilinear_orientation_assignments (VlHog const * self) {
  return self->useBilinearOrientationAssigment ;
}

/** @brief Get wether bilinear interpolation assignments are used
 ** @param self HOG object.
 ** @return @c true if orientations are be assigned with bilinear interpolation.
 **/

void
vl_hog_set_use_bilinear_orientation_assignments (VlHog * self, vl_bool x) {
  self->useBilinearOrientationAssigment = x ;
}

/* ---------------------------------------------------------------- */
/** @brief Render a HOG descriptor to a glyph image
 ** @param self HOG object.
 ** @param image glyph image (output).
 ** @param descriptor HOG descriptor.
 ** @param width HOG descriptor width.
 ** @param height HOG descriptor height.
 **
 ** The function renders the HOG descriptor or filter
 ** @a descriptor as an image (for visualization) and stores the result in
 ** the buffer @a image. This buffer
 ** must be an array of dimensions @c width*glyphSize
 ** by @c height*glyphSize elements, where @c glyphSize is
 ** obtained from ::vl_hog_get_glyph_size and is the size in pixels
 ** of the image element used to represent the descriptor of one
 ** HOG cell.
 **/

void
vl_hog_render (VlHog const * self,
               float * image,
               float const * descriptor,
               vl_size width,
               vl_size height)
{
  vl_index x, y, k, cx, cy ;
  vl_size hogStride = width * height ;

  assert(self) ;
  assert(image) ;
  assert(descriptor) ;
  assert(width > 0) ;
  assert(height > 0) ;

  for (y = 0 ; y < (signed)height ; ++y) {
    for (x = 0 ; x < (signed)width ; ++x) {
      float minWeight = 0 ;
      float maxWeight = 0 ;

      for (k = 0 ; k < (signed)self->numOrientations ; ++k) {
        float weight ;
        float const * glyph = self->glyphs + k * (self->glyphSize*self->glyphSize) ;
        float * glyphImage = image + self->glyphSize * x + y * width * (self->glyphSize*self->glyphSize) ;

        switch (self->variant) {
          case VlHogVariantUoctti:
            weight =
            descriptor[k * hogStride] +
            descriptor[(k + self->numOrientations) * hogStride] +
            descriptor[(k + 2 * self->numOrientations) * hogStride] ;
            break ;
          case VlHogVariantDalalTriggs:
            weight =
            descriptor[k * hogStride] +
            descriptor[(k + self->numOrientations) * hogStride] +
            descriptor[(k + 2 * self->numOrientations) * hogStride] +
            descriptor[(k + 3 * self->numOrientations) * hogStride] ;
            break ;
          default:
            assert(0) ;
        }
        maxWeight = VL_MAX(weight, maxWeight) ;
        minWeight = VL_MIN(weight, minWeight);

        for (cy = 0 ; cy < (signed)self->glyphSize ; ++cy) {
          for (cx = 0 ; cx < (signed)self->glyphSize ; ++cx) {
            *glyphImage++ += weight * (*glyph++) ;
          }
          glyphImage += (width - 1) * self->glyphSize  ;
        }
      } /* next orientation */

      {
        float * glyphImage = image + self->glyphSize * x + y * width * (self->glyphSize*self->glyphSize) ;
        for (cy = 0 ; cy < (signed)self->glyphSize ; ++cy) {
          for (cx = 0 ; cx < (signed)self->glyphSize ; ++cx) {
            float value = *glyphImage ;
            *glyphImage++ = VL_MAX(minWeight, VL_MIN(maxWeight, value)) ;
          }
          glyphImage += (width - 1) * self->glyphSize  ;
        }
      }

      ++ descriptor ;
    } /* next column of cells (x) */
  } /* next row of cells (y) */
}

/* ---------------------------------------------------------------- */
/** @brief Get the dimension of the HOG features
 ** @param self HOG object.
 ** @return imension of a HOG cell descriptors.
 **/

vl_size
vl_hog_get_dimension (VlHog const * self)
{
  return self->dimension ;
}

/** @brief Get the width of the HOG cell array
 ** @param self HOG object.
 ** @return number of HOG cells in the horizontal direction.
 **/

vl_size
vl_hog_get_width (VlHog * self)
{
  return self->hogWidth ;
}

/** @brief Get the height of the HOG cell array
 ** @param self HOG object.
 ** @return number of HOG cells in the vertical direction.
 **/

vl_size
vl_hog_get_height (VlHog * self)
{
  return self->hogHeight ;
}

/* ---------------------------------------------------------------- */
/** @internal @brief Prepare internal buffers
 ** @param self HOG object.
 ** @param width image width.
 ** @param height image height.
 ** @param cellSize size of a HOG cell.
 **/

static void
vl_hog_prepare_buffers (VlHog * self, vl_size width, vl_size height, vl_size cellSize)
{
  vl_size hogWidth = (width + cellSize/2) / cellSize ;
  vl_size hogHeight = (height + cellSize/2) / cellSize ;

  assert(width > 3) ;
  assert(height > 3) ;
  assert(hogWidth > 0) ;
  assert(hogHeight > 0) ;

  if (self->hog &&
      self->hogWidth == hogWidth &&
      self->hogHeight == hogHeight) {
    /* a suitable buffer is already allocated */
    memset(self->hog, 0, sizeof(float) * hogWidth * hogHeight * self->numOrientations * 2) ;
    memset(self->hogNorm, 0, sizeof(float) * hogWidth * hogHeight) ;
    return ;
  }

  if (self->hog) {
    vl_free(self->hog) ;
    self->hog = NULL ;
  }

  if (self->hogNorm) {
    vl_free(self->hogNorm) ;
    self->hogNorm = NULL ;
  }

  self->hog = vl_calloc(hogWidth * hogHeight * self->numOrientations * 2, sizeof(float)) ;
  self->hogNorm = vl_calloc(hogWidth * hogHeight, sizeof(float)) ;
  self->hogWidth = hogWidth ;
  self->hogHeight = hogHeight ;
}

/* ---------------------------------------------------------------- */
/** @brief Process features starting from an image
 ** @param self HOG object.
 ** @param image image to process.
 ** @param width image width.
 ** @param height image height.
 ** @param numChannels number of image channles.
 ** @param cellSize size of a HOG cell.
 **
 ** The buffer @c hog must be a three-dimensional array.
 ** The first two dimensions are @c (width + cellSize/2)/cellSize and
 ** @c (height + cellSize/2)/cellSize, where divisions are integer.
 ** This is approximately @c width/cellSize and @c height/cellSize,
 ** adjusted so that the last cell is at least half contained in the
 ** image.
 **
 ** The image @c width and @c height must be not smaller than three
 ** pixels and not smaller than @c cellSize.
 **/

void
vl_hog_put_image (VlHog * self,
                  float const * image,
                  vl_size width, vl_size height, vl_size numChannels,
                  vl_size cellSize)
{
  vl_size hogStride ;
  vl_size channelStride = width * height ;
  vl_index x, y ;
  vl_uindex k ;

  assert(self) ;
  assert(image) ;

  /* clear features */
  vl_hog_prepare_buffers(self, width, height, cellSize) ;
  hogStride = self->hogWidth * self->hogHeight ;

#define at(x,y,k) (self->hog[(x) + (y) * self->hogWidth + (k) * hogStride])

  /* compute gradients and map the to HOG cells by bilinear interpolation */
  for (y = 1 ; y < (signed)height - 1 ; ++y) {
    for (x = 1 ; x < (signed)width - 1 ; ++x) {
      float gradx ;
      float grady ;
      float grad ;
      float orientationWeights [2] = {0,0} ;
      vl_index orientationBins [2] = {-1,-1} ;
      vl_index orientation = 0 ;
      float hx, hy, wx1, wx2, wy1, wy2 ;
      vl_index binx, biny, o ;

      /*
       Compute the gradient at (x,y). The image channel with
       the maximum gradient at each location is selected.
       */
      {
        float const * iter = image + y * width + x ;
        float grad2 = 0 ;
        for (k = 0 ; k < numChannels ; ++k) {
          float gradx_ = *(iter + 1) - *(iter - 1) ;
          float grady_ = *(iter + width)  - *(iter - width) ;
          float grad2_ = gradx_ * gradx_ + grady_ * grady_ ;
          if (grad2_ > grad2) {
            gradx = gradx_ ;
            grady = grady_ ;
            grad2 = grad2_ ;
          }
          iter += channelStride ;
        }
        grad = sqrtf(grad2) ;
        gradx /= VL_MAX(grad, 1e-10) ;
        grady /= VL_MAX(grad, 1e-10) ;
      }

      /*
       Map the gradient to the closest and second closets orientation bins.
       There are numOrientations orientation in the interval [0,pi).
       The next numOriantations are the symmetric ones, for a total
       of 2*numOrientation directed orientations.
       */
      for (k = 0 ; k < self->numOrientations ; ++k) {
        float orientationScore_ = gradx * self->orientationX[k] +  grady * self->orientationY[k] ;
        vl_index orientationBin_ = k ;
        if (orientationScore_ < 0) {
          orientationScore_ = - orientationScore_ ;
          orientationBin_ += self->numOrientations ;
        }
        if (orientationScore_ > orientationWeights[0]) {
          orientationBins[1] = orientationBins[0] ;
          orientationWeights[1] = orientationWeights[0] ;
          orientationBins[0] = orientationBin_ ; ;
          orientationWeights[0] = orientationScore_ ;
        } else if (orientationScore_ > orientationWeights[1]) {
          orientationBins[1] = orientationBin_ ;
          orientationWeights[1] = orientationScore_ ;
        }
      }

      if (self->useBilinearOrientationAssigment) {
        /* min(1.0,...) guards against small overflows causing NaNs */
        float angle0 = acosf(VL_MIN(orientationWeights[0],1.0)) ;
        orientationWeights[1] = angle0 / (VL_PI / self->numOrientations) ;
        orientationWeights[0] = 1 - orientationWeights[1] ;
      } else {
        orientationWeights[0] = 1 ;
        orientationBins[1] = -1 ;
      }

      for (o = 0 ; o < 2 ; ++o) {
        /*
         Accumulate the gradient. hx is the distance of the
         pixel x to the cell center at its left, in units of cellSize.
         With this parametrixation, a pixel on the cell center
         has hx = 0, which gradually increases to 1 moving to the next
         center.
         */

        orientation = orientationBins[o] ;
        if (orientation < 0) continue ;

        /*  (x - (w-1)/2) / w = (x + 0.5)/w - 0.5 */        
        hx = (x + 0.5) / cellSize - 0.5 ;
        hy = (y + 0.5) / cellSize - 0.5 ;
        binx = vl_floor_f(hx) ;
        biny = vl_floor_f(hy) ;
        wx2 = hx - binx ;
        wy2 = hy - biny ;
        wx1 = 1.0 - wx2 ;
        wy1 = 1.0 - wy2 ;

        wx1 *= orientationWeights[o] ;
        wx2 *= orientationWeights[o] ;
        wy1 *= orientationWeights[o] ;
        wy2 *= orientationWeights[o] ;

        /*VL_PRINTF("%d %d - %d %d %f %f - %f %f %f %f - %d \n ",x,y,binx,biny,hx,hy,wx1,wx2,wy1,wy2,o);*/

        if (binx >= 0 && biny >=0) {
          at(binx,biny,orientation) += grad * wx1 * wy1 ;
        }
        if (binx < (signed)self->hogWidth - 1 && biny >=0) {
          at(binx+1,biny,orientation) += grad * wx2 * wy1 ;
        }
        if (binx < (signed)self->hogWidth - 1 && biny < (signed)self->hogHeight - 1) {
          at(binx+1,biny+1,orientation) += grad * wx2 * wy2 ;
        }
        if (binx >= 0 && biny < (signed)self->hogHeight - 1) {
          at(binx,biny+1,orientation) += grad * wx1 * wy2 ;
        }
      } /* next o */
    } /* next x */
  } /* next y */
}

/* ---------------------------------------------------------------- */
/** @brief Process features starting from a field in polar notation
 ** @param self HOG object.
 ** @param modulus modulus of the vectors at each image location.
 ** @param angle angle of the vectors at each image location.
 ** @param directed wrap the angle at 2pi (directed) or pi (undirected).
 ** @param width image width.
 ** @param height image height.
 ** @param numChannels number of image channles.
 ** @param cellSize size of a HOG cell.
 **
 ** The function behaves like ::vl_hog_put_image, but foregoes the internal
 ** computation of the gradient field allowing the user to specify
 ** their own. Angles are measure clockwise (y axis pointing downwards)
 ** starting from the x axis (pointing right).
 **/

void vl_hog_put_polar_field (VlHog * self,
                             float const * modulus,
                             float const * angle,
                             vl_bool directed,
                             vl_size width, vl_size height,
                             vl_size cellSize)
{
  vl_size hogStride ;
  vl_index x, y, o ;
  vl_index period = self->numOrientations * (directed ? 2 : 1) ;
  double angleStep = VL_PI / self->numOrientations ;

  assert(self) ;
  assert(modulus) ;
  assert(angle) ;

  /* clear features */
  vl_hog_prepare_buffers(self, width, height, cellSize) ;
  hogStride = self->hogWidth * self->hogHeight ;

#define at(x,y,k) (self->hog[(x) + (y) * self->hogWidth + (k) * hogStride])
#define atNorm(x,y) (self->hogNorm[(x) + (y) * self->hogWidth])

  /* fill HOG cells from gradient field */
  for (y = 0 ; y < (signed)height ; ++y) {
    for (x = 0 ; x < (signed)width ; ++x) {
      float ho, hx, hy, wo1, wo2, wx1, wx2, wy1, wy2 ;
      vl_index bino, binx, biny ;
      float orientationWeights [2] = {0,0} ;
      vl_index orientationBins [2] = {-1,-1} ;
      vl_index orientation = 0 ;
      float thisAngle = *angle++ ;
      float thisModulus = *modulus++ ;

      if (thisModulus <= 0.0f) continue ;

      /*  (x - (w-1)/2) / w = (x + 0.5)/w - 0.5 */

      ho = (float)thisAngle / angleStep ;
      bino = vl_floor_f(ho) ;
      wo2 = ho - bino ;
      wo1 = 1.0f - wo2 ;
      
      while (bino < 0) { bino += self->numOrientations * 2 ; }
      
      if (self->useBilinearOrientationAssigment) {
        orientationBins[0] = bino % period ;
        orientationBins[1] = (bino + 1) % period ;
        orientationWeights[0] = wo1 ;
        orientationWeights[1] = wo2 ;
      } else {
        orientationBins[0] = (bino + ((wo1 > wo2) ? 0 : 1)) % period ;
        orientationWeights[0] = 1 ;
        orientationBins[1] = -1 ;
      }

      for (o = 0 ; o < 2 ; ++o) {
        /*
         Accumulate the gradient. hx is the distance of the
         pixel x to the cell center at its left, in units of cellSize.
         With this parametrixation, a pixel on the cell center
         has hx = 0, which gradually increases to 1 moving to the next
         center.
         */
        
        orientation = orientationBins[o] ;
        if (orientation < 0) continue ;
        
        hx = (x + 0.5) / cellSize - 0.5 ;
        hy = (y + 0.5) / cellSize - 0.5 ;
        binx = vl_floor_f(hx) ;
        biny = vl_floor_f(hy) ;
        wx2 = hx - binx ;
        wy2 = hy - biny ;
        wx1 = 1.0 - wx2 ;
        wy1 = 1.0 - wy2 ;
        
        wx1 *= orientationWeights[o] ;
        wx2 *= orientationWeights[o] ;
        wy1 *= orientationWeights[o] ;
        wy2 *= orientationWeights[o] ;
        
        /*VL_PRINTF("%d %d - %d %d %f %f - %f %f %f %f - %d \n ",x,y,binx,biny,hx,hy,wx1,wx2,wy1,wy2,o);*/
        
        if (binx >= 0 && biny >=0) {
          at(binx,biny,orientation) += thisModulus * wx1 * wy1 ;
        }
        if (binx < (signed)self->hogWidth - 1 && biny >=0) {
          at(binx+1,biny,orientation) += thisModulus * wx2 * wy1 ;
        }
        if (binx < (signed)self->hogWidth - 1 && biny < (signed)self->hogHeight - 1) {
          at(binx+1,biny+1,orientation) += thisModulus * wx2 * wy2 ;
        }
        if (binx >= 0 && biny < (signed)self->hogHeight - 1) {
          at(binx,biny+1,orientation) += thisModulus * wx1 * wy2 ;
        }
      } /* next o */
    } /* next x */
  } /* next y */
}


/* ---------------------------------------------------------------- */
/** @brief Extract HOG features
 ** @param self HOG object.
 ** @param features HOG features (output).
 **
 ** This method is called after ::vl_hog_put_image or ::vl_hog_put_polar_field
 ** in order to retrieve the computed HOG features. The buffer @c features must have the dimensions returned by
 ** ::vl_hog_get_width, ::vl_hog_get_height, and ::vl_hog_get_dimension.
 **/

void
vl_hog_extract (VlHog * self, float * features)
{
  vl_index x, y ;
  vl_uindex k ;
  vl_size hogStride = self->hogWidth * self->hogHeight ;

  assert(features) ;

#define at(x,y,k) (self->hog[(x) + (y) * self->hogWidth + (k) * hogStride])
#define atNorm(x,y) (self->hogNorm[(x) + (y) * self->hogWidth])

  /*
   Computes the squared L2 norm of each HOG cell. This is the norm of the
   undirected orientation histogram, counting only numOrientations. This
   histogram is obtained by folding the 2*numOrientations directed
   orientations that are computed.
   */
  {
    float const * iter = self->hog ;
    for (k = 0 ; k < self->numOrientations ; ++k) {
      float * niter = self->hogNorm ;
      float * niterEnd = self->hogNorm + self->hogWidth * self->hogHeight ;
      vl_size stride = self->hogWidth*self->hogHeight*self->numOrientations ;
      while (niter != niterEnd) {
        float h1 = *iter ;
        float h2 = *(iter + stride) ;
        float h = h1 + h2 ;
        *niter += h * h ;
        niter++ ;
        iter++ ;
      }
    }
  }

  /*
   HOG block-normalisation. For each cell, there are four 2x2 blocks
   covering it. For example, the cell number 5 in the following scheme
   is covered by the four blocks 1245, 2356, 4578, 5689.

                           +---+---+---+
                           | 1 | 2 | 3 |
                           +---+---+---+
                           | 4 | 5 | 6 |
                           +---+---+---+
                           | 7 | 8 | 9 |
                           +---+---+---+

   In the Dalal-Triggs implementation, one forms all possible 2x2 blocks
   of cells, computes a descriptor vector for each by stacking the corresponding
   2x2 HOG cells, and L2 normalizes (and truncates) the result.

   Thus each HOG cell appears in four blocks. These are then decomposed
   again to produce descriptors for each cell. Each descriptor is simply
   the stacking of the portion of each block descriptor that arised
   from that cell. This process result in a descriptor
   of each cell which contains four copies of the original HOG,
   with four different normalization factors.

   @remark By stacking together the cell descriptors for a large retangular block
   of cells, one effectively stacks together the block descriptors of
   an equal number of blocks (except for the boundaries, for which
   blocks are only partially included). Since blocks are L2 normalized
   (up to truncation), this implies that the L2 norm of the resulting
   vector is approximately equal to the area of the region.

   */
  {
    float const * iter = self->hog ;
    for (y = 0 ; y < (signed)self->hogHeight ; ++y) {
      for (x = 0 ; x < (signed)self->hogWidth ; ++x) {

        /* norm of upper-left, upper-right, ... blocks */
        vl_index xm = VL_MAX(x - 1, 0) ;
        vl_index xp = VL_MIN(x + 1, (signed)self->hogWidth - 1) ;
        vl_index ym = VL_MAX(y - 1, 0) ;
        vl_index yp = VL_MIN(y + 1, (signed)self->hogHeight - 1) ;

        double norm1 = atNorm(xm,ym) ;
        double norm2 = atNorm(x,ym) ;
        double norm3 = atNorm(xp,ym) ;
        double norm4 = atNorm(xm,y) ;
        double norm5 = atNorm(x,y) ;
        double norm6 = atNorm(xp,y) ;
        double norm7 = atNorm(xm,yp) ;
        double norm8 = atNorm(x,yp) ;
        double norm9 = atNorm(xp,yp) ;

        double factor1, factor2, factor3, factor4 ;

		double t1 = 0 ;
		double t2 = 0 ;
        double t3 = 0 ;
        double t4 = 0 ;

		float * oiter = features + x + self->hogWidth * y ;

        /* each factor is the inverse of the l2 norm of one of the 2x2 blocks surrounding
           cell x,y */
#if 0
        if (self->transposed) {
          /* if the image is transposed, y and x are swapped */
          factor1 = 1.0 / VL_MAX(sqrt(norm1 + norm2 + norm4 + norm5), 1e-10) ;
          factor3 = 1.0 / VL_MAX(sqrt(norm2 + norm3 + norm5 + norm6), 1e-10) ;
          factor2 = 1.0 / VL_MAX(sqrt(norm4 + norm5 + norm7 + norm8), 1e-10) ;
          factor4 = 1.0 / VL_MAX(sqrt(norm5 + norm6 + norm8 + norm9), 1e-10) ;
        } else {
          factor1 = 1.0 / VL_MAX(sqrt(norm1 + norm2 + norm4 + norm5), 1e-10) ;
          factor2 = 1.0 / VL_MAX(sqrt(norm2 + norm3 + norm5 + norm6), 1e-10) ;
          factor3 = 1.0 / VL_MAX(sqrt(norm4 + norm5 + norm7 + norm8), 1e-10) ;
          factor4 = 1.0 / VL_MAX(sqrt(norm5 + norm6 + norm8 + norm9), 1e-10) ;
        }
#else
        /* as implemented in UOCTTI code */
        if (self->transposed) {
          /* if the image is transposed, y and x are swapped */
          factor1 = 1.0 / sqrt(norm1 + norm2 + norm4 + norm5 + 1e-4) ;
          factor3 = 1.0 / sqrt(norm2 + norm3 + norm5 + norm6 + 1e-4) ;
          factor2 = 1.0 / sqrt(norm4 + norm5 + norm7 + norm8 + 1e-4) ;
          factor4 = 1.0 / sqrt(norm5 + norm6 + norm8 + norm9 + 1e-4) ;
        } else {
          factor1 = 1.0 / sqrt(norm1 + norm2 + norm4 + norm5 + 1e-4) ;
          factor2 = 1.0 / sqrt(norm2 + norm3 + norm5 + norm6 + 1e-4) ;
          factor3 = 1.0 / sqrt(norm4 + norm5 + norm7 + norm8 + 1e-4) ;
          factor4 = 1.0 / sqrt(norm5 + norm6 + norm8 + norm9 + 1e-4) ;
        }
#endif

        for (k = 0 ; k < self->numOrientations ; ++k) {
          double ha = iter[hogStride * k] ;
          double hb = iter[hogStride * (k + self->numOrientations)] ;
          double hc ;

          double ha1 = factor1 * ha ;
          double ha2 = factor2 * ha ;
          double ha3 = factor3 * ha ;
          double ha4 = factor4 * ha ;

          double hb1 = factor1 * hb ;
          double hb2 = factor2 * hb ;
          double hb3 = factor3 * hb ;
          double hb4 = factor4 * hb ;

          double hc1 = ha1 + hb1 ;
          double hc2 = ha2 + hb2 ;
          double hc3 = ha3 + hb3 ;
          double hc4 = ha4 + hb4 ;

          ha1 = VL_MIN(0.2, ha1) ;
          ha2 = VL_MIN(0.2, ha2) ;
          ha3 = VL_MIN(0.2, ha3) ;
          ha4 = VL_MIN(0.2, ha4) ;

          hb1 = VL_MIN(0.2, hb1) ;
          hb2 = VL_MIN(0.2, hb2) ;
          hb3 = VL_MIN(0.2, hb3) ;
          hb4 = VL_MIN(0.2, hb4) ;

          hc1 = VL_MIN(0.2, hc1) ;
          hc2 = VL_MIN(0.2, hc2) ;
          hc3 = VL_MIN(0.2, hc3) ;
          hc4 = VL_MIN(0.2, hc4) ;

          t1 += hc1 ;
          t2 += hc2 ;
          t3 += hc3 ;
          t4 += hc4 ;

          switch (self->variant) {
            case VlHogVariantUoctti :
              ha = 0.5 * (ha1 + ha2 + ha3 + ha4) ;
              hb = 0.5 * (hb1 + hb2 + hb3 + hb4) ;
              hc = 0.5 * (hc1 + hc2 + hc3 + hc4) ;
              *oiter = ha ;
              *(oiter + hogStride * self->numOrientations) = hb ;
              *(oiter + 2 * hogStride * self->numOrientations) = hc ;
              break ;

            case VlHogVariantDalalTriggs :
              *oiter = hc1 ;
              *(oiter + hogStride * self->numOrientations) = hc2 ;
              *(oiter + 2 * hogStride * self->numOrientations) = hc3 ;
              *(oiter + 3 * hogStride * self->numOrientations) = hc4 ;
              break ;
          }
          oiter += hogStride ;

        } /* next orientation */

        switch (self->variant) {
          case VlHogVariantUoctti :
            oiter += 2 * hogStride * self->numOrientations ;
            *oiter = (1.0f/sqrtf(18.0f)) * t1 ; oiter += hogStride ;
            *oiter = (1.0f/sqrtf(18.0f)) * t2 ; oiter += hogStride ;
            *oiter = (1.0f/sqrtf(18.0f)) * t3 ; oiter += hogStride ;
            *oiter = (1.0f/sqrtf(18.0f)) * t4 ; oiter += hogStride ;
            break ;

          case VlHogVariantDalalTriggs :
            break ;
        }
        ++iter ;
      } /* next x */
    } /* next y */
  } /* block normalization */
}

vlfeat-0.9.16/vl/hog.h000066400000000000000000000053301203326130700144350ustar00rootroot00000000000000/** @file hog.h
 ** @brief Histogram of Oriented Gradients (@ref hog)
 ** @author Andrea Vedaldi
 **/

/*
 Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
 All rights reserved.

 This file is part of the VLFeat library and is made available under
 the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_HOG_H
#define VL_HOG_H

#include "generic.h"

enum VlHogVariant_ { VlHogVariantDalalTriggs, VlHogVariantUoctti } ;

typedef enum VlHogVariant_ VlHogVariant ;

struct VlHog_
{
  VlHogVariant variant ;
  vl_size dimension ;
  vl_size numOrientations ;
  vl_bool transposed ;
  vl_bool useBilinearOrientationAssigment ;

  /* left-right flip permutation */
  vl_index * permutation ;

  /* glyphs */
  float * glyphs ;
  vl_size glyphSize ;

  /* helper vectors */
  float * orientationX ;
  float * orientationY ;

  /* buffers */
  float * hog ;
  float * hogNorm ;
  vl_size hogWidth ;
  vl_size hogHeight ;
} ;

typedef struct VlHog_ VlHog ;

VL_EXPORT VlHog * vl_hog_new (VlHogVariant variant, vl_size numOrientations, vl_bool transposed) ;
VL_EXPORT void vl_hog_delete (VlHog * self) ;
VL_EXPORT void vl_hog_process (VlHog * self,
                               float * features,
                               float const * image,
                               vl_size width, vl_size height, vl_size numChannels,
                               vl_size cellSize) ;

VL_EXPORT void vl_hog_put_image (VlHog * self,
                                 float const * image,
                                 vl_size width, vl_size height, vl_size numChannels,
                                 vl_size cellSize) ;

VL_EXPORT void vl_hog_put_polar_field (VlHog * self,
                                       float const * modulus,
                                       float const * angle,
                                       vl_bool directed,
                                       vl_size width, vl_size height, vl_size cellSize) ;

VL_EXPORT void vl_hog_extract (VlHog * self, float * features) ;
VL_EXPORT vl_size vl_hog_get_height (VlHog * self) ;
VL_EXPORT vl_size vl_hog_get_width (VlHog * self) ;


VL_EXPORT void vl_hog_render (VlHog const * self,
                              float * image,
                              float const * features,
                              vl_size width,
                              vl_size height) ;

VL_EXPORT vl_size vl_hog_get_dimension (VlHog const * self) ;
VL_EXPORT vl_index const * vl_hog_get_permutation (VlHog const * self) ;
VL_EXPORT vl_size vl_hog_get_glyph_size (VlHog const * self) ;

VL_EXPORT vl_bool vl_hog_get_use_bilinear_orientation_assignments (VlHog const * self) ;
VL_EXPORT void vl_hog_set_use_bilinear_orientation_assignments (VlHog * self, vl_bool x) ;

/* VL_HOG_H */
#endif
vlfeat-0.9.16/vl/homkermap.c000066400000000000000000000423051203326130700156410ustar00rootroot00000000000000/** @file homkermap.c
 ** @brief Homogeneous kernel map - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file homkermap.h


@page homkermap Homogeneous kernel map
@author Andrea Vedaldi


@ref homkermap.h implements the homogeneous kernel maps
introduced in @cite{vedaldi10efficient},@cite{vedaldi11efficient}.
Such maps are efficient linear representations of popular kernels
such as the intersection, @f$ \chij^2 @f$, and Jensen-Shannon ones.

- @ref homkermap-overview
  - @ref homkermap-overview-negative
  - @ref homkermap-overview-homogeneity
  - @ref homkermap-overview-window
- @ref homkermap-usage
- @ref homkermap-tech


@section homkermap-overview Overview


The homogeneous kernel map is a finite dimensional linear
approximation of homgeneous kernels, including the intersection,
@f$ \chi^2 @f$, and Jensen-Shannon kernels. These kernels
 are ffrequently used in computer vision applications because they
are particular suitable for data in the format of histograms, which
 encompasses many visual descriptors used.

Let @f$ x,y \in \mathbb{R}_+ @f$ be non-negative scalars and let @f$
k(x,y) \in \mathbb{R} @f$ be an homogeneous kernel such as the
@f$ \chi^2 @f$ and or the intersection ones:

@f[
  k_{\mathrm{inters}}(x,y) = \min\{x, y\},
  \quad
  k_{\chi^2}(x,y) = 2 \frac{(x - y)^2}{x+y}.
@f]

For vectorial data @f$ \mathbf{x},\mathbf{y} \in \mathbb{R}_+^d @f$, the
homogeneous kernels in an additive
combination @f$ K(\mathbf{x},\mathbf{y}) = \sum_{i=1}^d k(x_i,y_i) @f$.

The homogeneous kernel map of order @f$ n @f$ is a vectorial
function @f$ \Psi(x) \in \mathbb{R}^{2n+1} @f$ such that, for any
choice of @f$ x, y \in \mathbb{R}_+ @f$, one has

@f[
  k(x,y) \approx \langle \Psi(x), \Psi(y) \rangle.
@f]

Given the feature map for the scalar case, the corresponding feature
 map @f$ \Psi(\mathbf{x}) @f$ for the vectorial case is obtained
 by stacking @f$ [\Psi(x_1), \dots, \Psi(x_n)] @f$.
Note that the combined feature @f$ \Psi(\mathbf{x}) @f$ has dimension @f$ d(2n+1) @f$.

Using linear analysis tools (e.g. a linear support vector machine)
on top of dataset that has been encoded by the homogeneous kernel map
is therefore approximately equivalent to using a method based
on the corresponding non-linear kernel.


@subsection homkermap-overview-negative Extension to the negative reals


Any positive (semi-)definite kernel @f$ k(x,y) @f$ defined on the
non-negative reals @f$ x,y \in \mathbb{R}_+ @f$ can be extended to the
entiere real line by using the definition:

@f[
  k_\pm(x,y) = \operatorname{sign}(x) \operatorname{sign}(y) k(|x|,|y|).
@f]

The homogeneous kernel map implements this extension by defining @f$
\Psi_\pm(x) = \operatorname{sign}(x) \Psi(|x|) @f$. Note that other
extensions are possible, such as

@f[
  k_\pm(x,y) = H(xy) \operatorname{sign}(y) k(|x|,|y|)
@f]

where @f$ H @f$ is the Heavyside function, but may require higher
dimensional feature maps.


@subsection homkermap-overview-homogeneity Homogeneity order


Any (1-)homogeneous kernel @f$ k_1(x,y) @f$ can be extended to a so
called gamma-homgeneous kernel @f$ k_\gamma(x,y) @f$ by the definition

@f[
  k_\gamma(x,y) = (xy)^{\frac{\gamma}{2}} \frac{k_1(x,y)}{\sqrt{xy}}
@f]

Smaller value of @f$ \gamma @f$ enhance the kernel non-linearity and
are sometimes beneficial in applications (see [1,2] for details).


@subsection homkermap-overview-window Windowing and period


This section discusses aspects of the homogeneous kernel map which are
more technical and may be skipped. The homogeneous kernel map
approximation is based on periodicizing the kernel; given the kernel
signature

@f[
    \Kappa(\lambda) = k(e^{\frac{\lambda}{2}}, e^{-\frac{\lambda}{2}})
@f]

the homogeneous kerne map is a feature map for the windowed and
periodicized kernel whose signature is given by

@f[
   \hat{\mathcal{K}}(\lambda)
   =
   \sum_{i=-\infty}^{+\infty} \mathcal{K}(\lambda + k \Lambda) W(\lambda + k \Lambda)
@f]

where @f$ W(\lambda) @f$ is a windowing function and @f$ \Lambda @f$
is the period. This implementation of the homogeneous kernel map
supports the use of a uniform window (@f$ W(\lambda) = 1 @f$)
or of a rectangular window (@f$ W(\lambda) =
\operatorname{rect}(\lambda/\Lambda) @f$). Note that @f$ \lambda =
\log(y/x) @f$ is equal to the logarithmic ratio of the arguments of
the kernel. Empirically, the rectangular window seems to have a slight
edge in applications.


@section homkermap-usage Usage


The homogeneous kernel map is implemented as an object of type
::VlHomogeneousKernelMap. To use thois object, first create an
instance by ::vl_homogeneouskernelmap_new, then use
::vl_homogeneouskernelmap_evaluate_d or
::vl_homogeneouskernelmap_evaluate_f (depdening on whether the data is
@c double or @c float) to compute the feature map @f$ \Psi(x)
@f$. When done, dispose of the object by calling
::vl_homogeneouskernelmap_delete.

The constructor ::vl_homogeneouskernelmap_new requires the kernel type
@c kernel (see ::VlHomogeneousKernelType), the homogeneity order @c
gamma (use one for the standard kernels), the approximation order @c
order (usually order one is enough), the period @a period (use a
negative value to use the default period), and a window type @c window
(use ::VlHomogeneousKernelMapWindowRectangular if unsure). The
approximation order trades off the quality and dimensionality of the
approximation. The resulting feature map @f$ \Psi(x) @f$, computed by
::vl_homogeneouskernelmap_evaluate_d or
::vl_homogeneouskernelmap_evaluate_f , is 2*order+1
dimensional.

The code pre-computes the map @f$ \Psi(x) @f$ for efficient
evaluation. The table spans values of @f$ x @f$ in the range
@f$[2^{-20}, 2^{8}) @f$. In particular, values smaller than @f$
2^{-20} @f$ are treated as zeroes (which result in a null feature).


@section homkermap-tech Technical details


The code uses the expressions given in @cite{vedaldi10efficient},@cite{vedaldi11efficient}
to compute in closed form the maps @f$ \Psi(x) @f$ for the suppoerted kernel types.  For
efficiency reasons, it tabulates @f$ \Psi(x) @f$ when the homogeneous
kernel map object is created.

The interal table stores @f$ \Psi(x) \in \mathbb{R}^{2n+1} @f$ for
@f$ x \geq 0 @f$ by sampling this variable. In particular, @c x is
decomposed as

      x = mantissa * (2**exponent),
  minExponent <= exponent <= maxExponent,
  1 <= matnissa < 2.

    
Each octave is further subdivided in @c numSubdivisions sublevels.

When the map @f$ \Psi(x) @f$ is evaluated, @c x is decomposed back
into exponent and mantissa, and the result is computed by bilinear
interpolation from the appropriate table entries.

*/

#ifndef VL_HOMKERMAP_INSTANTIATING

#include "homkermap.h"
#include "mathop.h"

#include 

/** ------------------------------------------------------------------
 ** @brief Sample the kernel specturm
 ** @param self homogeneous kernel map.
 ** @param omega sampling frequency.
 ** @return the spectrum sampled at @a omega.
 **/

VL_INLINE double
vl_homogeneouskernelmap_get_spectrum (VlHomogeneousKernelMap const * self, double omega)
{
  assert (self) ;
  switch (self->kernelType) {
    case VlHomogeneousKernelIntersection:
      return (2.0 / VL_PI) / (1 + 4 * omega*omega) ;
    case VlHomogeneousKernelChi2:
      return 2.0 / (exp(VL_PI * omega) + exp(-VL_PI * omega)) ;
    case VlHomogeneousKernelJS:
      return (2.0 / log(4.0)) *
      2.0 / (exp(VL_PI * omega) + exp(-VL_PI * omega)) /
      (1 + 4 * omega*omega) ;
    default:
      abort() ;
  }
}

/* helper */
VL_INLINE double sinc(double x)
{
  if (x == 0.0) return 1.0 ;
  return sin(x) / x ;
}

/** ------------------------------------------------------------------
 ** @brief Sample the smoothed kernel spectrum
 ** @param self homogeneous kernel map.
 ** @param omega sampling frequency.
 ** @return the spectrum sampled at @a omega after smoothing.
 **/

VL_INLINE double
vl_homogeneouskernelmap_get_smooth_spectrum (VlHomogeneousKernelMap const * self, double omega)
{
  double kappa_hat = 0 ;
  double omegap ;
  double epsilon = 1e-2 ;
  double const omegaRange = 2.0 / (self->period * epsilon) ;
  double const domega = 2 * omegaRange / (2 * 1024.0 + 1) ;
  assert (self) ;
  switch (self->windowType) {
    case VlHomogeneousKernelMapWindowUniform:
      kappa_hat = vl_homogeneouskernelmap_get_spectrum(self, omega) ;
      break ;
    case VlHomogeneousKernelMapWindowRectangular:
      for (omegap = - omegaRange ; omegap <= omegaRange ; omegap += domega) {
        double win = sinc((self->period/2.0) * omegap) ;
        win *= (self->period/(2.0*VL_PI)) ;
        kappa_hat += win * vl_homogeneouskernelmap_get_spectrum(self, omegap + omega) ;
      }
      kappa_hat *= domega ;
      /* project on the postivie orthant (see PAMI) */
      kappa_hat = VL_MAX(kappa_hat, 0.0) ;
      break ;
    default:
      abort() ;
  }
  return kappa_hat ;
}

/** ------------------------------------------------------------------
 ** @brief Create a new homgeneous kernel map
 ** @param kernelType type of homogeneous kernel.
 ** @param gamma kernel homogeneity degree.
 ** @param order approximation order.
 ** @param period kernel period.
 ** @param windowType type of window used to truncate the kernel.
 ** @return the new homogeneous kernel map.
 **
 ** The function intializes a new homogeneous kernel map for the
 ** specified kernel type, homogeneity degree, approximation order,
 ** period, and truncation window. See @ref homkermap-overview for
 ** details.
 **
 ** The homogeneity degree @c gamma must be positive (the standard
 ** kernels are obtained by setting @c gamma to 1). When unsure, set
 ** @c windowType to ::VlHomogeneousKernelMapWindowRectangular. The @c
 ** period should be non-negative; specifying a negative or null value
 ** causes the function to switch to a default value.
 **
 ** The function returns @c NULL if there is not enough free memory.
 **/

VlHomogeneousKernelMap *
vl_homogeneouskernelmap_new (VlHomogeneousKernelType kernelType,
                             double gamma,
                             vl_size order,
                             double period,
                             VlHomogeneousKernelMapWindowType windowType)
{
  int tableWidth, tableHeight ;
  VlHomogeneousKernelMap * self = vl_malloc(sizeof(VlHomogeneousKernelMap)) ;
  if (! self) return NULL ;

  assert(gamma > 0) ;

  assert(kernelType == VlHomogeneousKernelIntersection ||
         kernelType == VlHomogeneousKernelChi2 ||
         kernelType == VlHomogeneousKernelJS) ;

  assert(windowType == VlHomogeneousKernelMapWindowUniform ||
         windowType == VlHomogeneousKernelMapWindowRectangular) ;

  if (period < 0) {
    switch (windowType) {
    case VlHomogeneousKernelMapWindowUniform:
      switch (kernelType) {
      case VlHomogeneousKernelChi2:         period = 5.86 * sqrt(order + 0)  + 3.65 ; break ;
      case VlHomogeneousKernelJS:           period = 6.64 * sqrt(order + 0)  + 7.24 ; break ;
      case VlHomogeneousKernelIntersection: period = 2.38 * log(order + 0.8) + 5.6 ; break ;
      }
      break ;
    case VlHomogeneousKernelMapWindowRectangular:
      switch (kernelType) {
      case VlHomogeneousKernelChi2:         period = 8.80 * sqrt(order + 4.44) - 12.6 ; break ;
      case VlHomogeneousKernelJS:           period = 9.63 * sqrt(order + 1.00) - 2.93;  break ;
      case VlHomogeneousKernelIntersection: period = 2.00 * log(order + 0.99)  + 3.52 ; break ;
      }
      break ;
    }
    period = VL_MAX(period, 1.0) ;
  }

  self->kernelType = kernelType ;
  self->windowType = windowType ;
  self->gamma = gamma ;
  self->order = order ;
  self->period = period ;
  self->numSubdivisions = 8 + 8*order ;
  self->subdivision = 1.0 / self->numSubdivisions ;
  self->minExponent = -20 ;
  self->maxExponent = 8 ;

  tableHeight = (int) (2*self->order + 1) ;
  tableWidth = (int) (self->numSubdivisions * (self->maxExponent - self->minExponent + 1)) ;
  self->table = vl_malloc (sizeof(double) *
                           (tableHeight * tableWidth + 2*(1+self->order))) ;
  if (! self->table) {
    vl_free(self) ;
    return NULL ;
  }

  {
    vl_index exponent ;
    vl_uindex i, j ;
    double * tablep = self->table ;
    double * kappa = self->table + tableHeight * tableWidth ;
    double * freq = kappa + (1+self->order) ;
    double L = 2.0 * VL_PI / self->period ;

    /* precompute the sampled periodicized spectrum */
    j = 0 ;
    i = 0 ;
    while (i <= self->order) {
      freq[i] = j ;
      kappa[i] = vl_homogeneouskernelmap_get_smooth_spectrum(self, j * L) ;
      ++ j ;
      if (kappa[i] > 0 || j >= 3*i) ++ i ;
    }

    /* fill table */
    for (exponent  = self->minExponent ;
         exponent <= self->maxExponent ; ++ exponent) {

      double x, Lxgamma, Llogx, xgamma ;
      double sqrt2kappaLxgamma ;
      double mantissa = 1.0 ;

      for (i = 0 ; i < self->numSubdivisions ;
           ++i, mantissa += self->subdivision) {
        x = ldexp(mantissa, (int)exponent) ;
        xgamma = pow(x, self->gamma) ;
        Lxgamma = L * xgamma ;
        Llogx = L * log(x) ;

        *tablep++ = sqrt(Lxgamma * kappa[0]) ;
        for (j = 1 ; j <= self->order ; ++j) {
          sqrt2kappaLxgamma = sqrt(2.0 * Lxgamma * kappa[j]) ;
          *tablep++ = sqrt2kappaLxgamma * cos(freq[j] * Llogx) ;
          *tablep++ = sqrt2kappaLxgamma * sin(freq[j] * Llogx) ;
        }
      } /* next mantissa */
    } /* next exponent */
  }
  return self ;
}

/** ------------------------------------------------------------------
 ** @brief Delete a map object
 ** @param self map object.
 ** The function deletes the specified map object.
 **/

VL_EXPORT void
vl_homogeneouskernelmap_delete (VlHomogeneousKernelMap * self)
{
  vl_free(self->table) ;
  self->table = NULL ;
  vl_free(self) ;
}

/** ------------------------------------------------------------------
 ** @fn ::vl_homogeneouskernelmap_evaluate_d(VlHomogeneousKernelMap const*,double*,vl_size,double)
 ** @brief Evaluate map
 ** @param self map object.
 ** @param destination output buffer.
 ** @param stride stride of the output buffer.
 ** @param x value to expand.
 **
 ** The function evaluates the feature map on @a x and stores the
 ** resulting 2*order+1 dimensional vector to
 ** @a destination[0], @a destination[stride], @a destination[2*stride], ....
 **/

/** ------------------------------------------------------------------
 ** @fn ::vl_homogeneouskernelmap_evaluate_f(VlHomogeneousKernelMap const*,float*,vl_size,double)
 ** @brief Evaluate map
 ** @param self map object.
 ** @param destination output buffer.
 ** @param stride stride of the output buffer.
 ** @param x value to expand.
 **
 ** The function evaluates the feature map on @a x and stores the
 ** resulting 2*order+1 dimensional vector to
 ** @a destination[0], @a destination[stride], @a destination[2*stride], ....
 **/

#define FLT VL_TYPE_FLOAT
#define VL_HOMKERMAP_INSTANTIATING
#include "homkermap.c"

#define FLT VL_TYPE_DOUBLE
#define VL_HOMKERMAP_INSTANTIATING
#include "homkermap.c"

#else

#include "float.th"

VL_EXPORT void
VL_XCAT(vl_homogeneouskernelmap_evaluate_,SFX)
(VlHomogeneousKernelMap const * self,
 T * destination,
 vl_size stride,
 double x)
{
  /* break value into exponent and mantissa */
  int exponent ;
  int unsigned j ;
  double mantissa = frexp(x, &exponent) ;
  double sign = (mantissa >= 0.0) ? +1.0 : -1.0 ;
  mantissa *= 2*sign ;
  exponent -- ;

  if (mantissa == 0 ||
      exponent <= self->minExponent ||
      exponent >= self->maxExponent) {
    for (j = 0 ; j <= self->order ; ++j) {
      *destination = (T) 0.0 ;
      destination += stride ;
    }
    return  ;
  }
  {
    vl_size featureDimension = 2*self->order + 1 ;
    double const * v1 = self->table +
    (exponent - self->minExponent) * self->numSubdivisions * featureDimension ;
    double const * v2 ;
    double f1, f2 ;

    mantissa -= 1.0 ;
    while (mantissa >= self->subdivision) {
      mantissa -= self->subdivision ;
      v1 += featureDimension ;
    }
    v2 = v1 + featureDimension ;
    for (j = 0 ; j < featureDimension ; ++j) {
      f1 = *v1++ ;
      f2 = *v2++ ;
      *destination = (T) sign * ((f2 - f1) * (self->numSubdivisions * mantissa) + f1) ;
      destination += stride ;
    }
  }
}

#undef FLT
#undef VL_HOMKERMAP_INSTANTIATING
#endif /* VL_HOMKERMAP_INSTANTIATING */
vlfeat-0.9.16/vl/homkermap.h000066400000000000000000000041631203326130700156460ustar00rootroot00000000000000/** @file homkermap.h
 ** @brief Homogeneous kernel map (@ref homkermap)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_HOMKERMAP_H
#define VL_HOMKERMAP_H

#include "generic.h"

#include 

/** @brief Type of kernel */
typedef enum {
  VlHomogeneousKernelIntersection = 0, /**< intersection kernel */
  VlHomogeneousKernelChi2, /**< Chi2 kernel */
  VlHomogeneousKernelJS /**< Jensen-Shannon kernel */
} VlHomogeneousKernelType ;

/** @brief Type of spectral windowing function  */
typedef enum {
  VlHomogeneousKernelMapWindowUniform = 0, /**< uniform window */
  VlHomogeneousKernelMapWindowRectangular = 1, /**< rectangular window */
} VlHomogeneousKernelMapWindowType ;

/** @brief Homogeneous kernel map */
typedef struct _VlHomogeneousKernelMap
{
  VlHomogeneousKernelType kernelType ;
  double gamma ;
  VlHomogeneousKernelMapWindowType windowType ;
  vl_size order ;
  double period ;
  vl_size numSubdivisions ;
  double subdivision  ;
  vl_index minExponent ;
  vl_index maxExponent ;
  double * table ;
} VlHomogeneousKernelMap ;

VL_EXPORT VlHomogeneousKernelMap *
vl_homogeneouskernelmap_new (VlHomogeneousKernelType kernelType,
                             double gamma,
                             vl_size order,
                             double period,
                             VlHomogeneousKernelMapWindowType windowType) ;

VL_EXPORT void
vl_homogeneouskernelmap_delete (VlHomogeneousKernelMap * self) ;

VL_EXPORT void
vl_homogeneouskernelmap_evaluate_d (VlHomogeneousKernelMap const * self,
                                    double * destination,
                                    vl_size stride,
                                    double x) ;

VL_EXPORT void
vl_homogeneouskernelmap_evaluate_f (VlHomogeneousKernelMap const * self,
                                    float * destination,
                                    vl_size stride,
                                    double x) ;
/* VL_HOMKERMAP_H */
#endif
vlfeat-0.9.16/vl/host.c000066400000000000000000000344151203326130700146360ustar00rootroot00000000000000/** @file host.c
 ** @brief Host - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**
 @file host.h

 This module provides functionalities to identify the
 host operating system, C compiler,
 and CPU architecture. It also provides a few features
 to abstract from such details.

 - @ref host-os "Host operating system"
 - @ref host-compiler "Host compiler"
   - @ref host-compiler-data-model "Data models"
   - @ref host-compiler-other "Other compiler specific features"
 - @ref host-arch "Host CPU architecture"
   - @ref host-arch-endianness "Endianness"

 @see http://predef.sourceforge.net/index.php

 @section host-os Host operating system

 The module defines a symbol to identify the host operating system:
 ::VL_OS_WIN for Windows, ::VL_OS_LINUX for Linux, ::VL_OS_MACOSX for
 Mac OS X, and so on.

 @section host-compiler Host compiler

 The module defines a symbol to identify the host compiler:
 ::VL_COMPILER_MSC for Microsoft Visual C++, ::VL_COMPILER_GNUC for
 GNU C, and so on. The (integer) value of such symbols corresponds the
 version of the compiler.

 The module defines a symbol to identify the data model of the
 compiler: ::VL_COMPILER_ILP32, ::VL_COMPILER_LP64, or
 ::VL_COMPILER_LLP64 (see Sect. @ref host-compiler-data-model).  For
 convenience, it also defines a number of atomic types of prescribed
 width (::vl_int8, ::vl_int16, ::vl_int32, etc.).

 @remark While some of such functionalities are provided by the
 standard header @c stdint.h, the latter is not supported by all
 platforms.

 @subsection host-compiler-data-model Data models

 The C language defines a number of atomic data types (such as @c
 char, @c short, @c int and so on). The number of bits (width) used to
 represent each data type depends on the compiler data model.  The
 following table summarizes the relevant conventions:

 
    Compiler data models. The table shows
 how many bits are allocated to each atomic data type according to
 each model.
 
    
 Data model
 short
 int
 long
 long long
 void*
 Compiler
 
    
 
    
 ILP32
 16
 32
 32
 64
 32
 common 32 bit architectures
 
    
 
    
 LP64
 16
 32
 64
 64
 64
 UNIX-64 (Linux, Mac OS X)
 
    
 
    
 ILP64
 16
 64
 64
 64
 64
 Alpha, Cray
 
    
 
    
 SLIP64
 64
 64
 64
 64
 64
 
 
    
 
    
 LLP64
 16
 32
 32
 64
 64
 Windows-64
 
    
 
    

 @subsection host-compiler-other Other compiler-specific features

 The module provides the macro ::VL_EXPORT to declare symbols exported
 from the library and the macro ::VL_INLINE to declare inline
 functions.  Such features are not part of the C89 standard, and
 change depending on the compiler.

 @par "Example:"
 The following header file declares a function @c f that
 should be visible from outside the library.
 @code
 #include 
 VL_EXPORT void f () ;
 VL_EXPORT int i ;
 @endcode
 Notice that the macro ::VL_EXPORT needs not to be included again
 when the function is defined.

 @par "Example:"
 The following header file declares an inline function @c f:
 @code
 #include 
 VL_INLINE int f() ;

 VL_INLINE int f() { return 1 ; }
 @endcode

 Here the first instruction defines the function @c f, where the
 second declares it. Notice that since this is an inline function, its
 definition must be found in the header file rather than in an
 implementation file.  Notice also that definition and declaration can
 be merged.

 These macros translate according to the following tables:

 
    
 Macros for exporting library symbols
 
    
 Platform
 Macro name
 Value when building the library
 Value when importing the library
 
    
 
    
 Unix/GCC
 ::VL_EXPORT
 empty (assumes -visibility=hidden GCC option)
 __attribute__((visibility ("default")))
 
    
 
    
 Win/Visual C++
 ::VL_EXPORT
 @c __declspec(dllexport)
 @c __declspec(dllimport)
 
    
 
    

 
    
 Macros for declaring inline functions
 
    
 Platform
 Macro name
 Value
 
    
 
    
 Unix/GCC
 ::VL_INLINE
 static inline
 
    
 
    
 Win/Visual C++
 ::VL_INLINE
 static __inline
 
    
 
    

 @section host-arch Host CPU architecture

 The module defines a symbol to identify the host CPU architecture:
 ::VL_ARCH_IX86 for Intel x86, ::VL_ARCH_IA64 for Intel 64, and so on.

 @subsection host-arch-endianness Endianness

 The module defines a symbol to identify the host CPU endianness:
 ::VL_ARCH_BIG_ENDIAN for big endian and ::VL_ARCH_LITTLE_ENDIAN for
 little endian. The functions ::vl_swap_host_big_endianness_8(),
 ::vl_swap_host_big_endianness_4(), ::vl_swap_host_big_endianness_2()
 to change the endianness of data (from/to host and network order).

 Recall that endianness concerns the way multi-byte data
 types (such as 16, 32 and 64 bits integers) are stored into the
 addressable memory.  All CPUs uses a contiguous address range to
 store atomic data types (e.g. a 16-bit integer could be assigned to
 the addresses 0x10001 and 0x10002), but the order may
 differ.

 - The convention is big endian, or in network
   order, if the most significant byte of the multi-byte data
   types is assigned to the smaller memory address. This is the
   convention used for instance by the PPC architecture.

 - The convention is little endian if the least significant
   byte is assigned to the smaller memory address. This is the
   convention used for instance by the x86 architecture.

 @remark The names “big endian” and “little
 endian” are a little confusing. “Big endian” means
 “big endian first”, i.e.  the address of the most
 significant byte comes first. Similarly, “little endian”
 means “little endian first”, in the sense that the
 address of the least significant byte comes first.

 Endianness is a concern when data is either exchanged with processors
 that use different conventions, transmitted over a network, or stored
 to a file. For the latter two cases, one usually saves data in big
 endian (network) order regardless of the host CPU.

@section host-threads Multi-threading

The file defines #VL_THREADS_WIN if multi-threading support is
enabled and the host supports Windows threads and #VL_THREADS_POSIX if
it supports POSIX threads.

 **/

/** @def VL_OS_LINUX
 ** @brief Defined if the host operating system is Linux.
 **/

/** @def VL_OS_MACOSX
 ** @brief Defined if the host operating system is Mac OS X.
 **/

/** @def VL_OS_WIN
 ** @brief Defined if the host operating system is Windows (32 or 64)
 **/

/** @def VL_OS_WIN64
 ** @brief Defined if the host operating system is Windows-64.
 **/

/** @def VL_COMPILER_GNUC
 ** @brief Defined if the host compiler is GNU C.
 **
 ** This macro is defined if the compiler is GNUC.
 ** Its value is calculated as
 ** @code
 ** 10000 * MAJOR + 100 * MINOR + PATCHLEVEL
 ** @endcode
 ** @see @ref host-compiler
 **/

/** @def VL_COMPILER_MSC
 ** @brief Defined if the host compiler is Microsoft Visual C++.
 ** @see @ref host-compiler
 **/

/** @def VL_COMPILER_LCC
 ** @brief Defined if the host compiler is LCC.
 ** @deprecated The LCC is not supported anymore.
 ** @see @ref host-compiler
 **/

/** @def VL_COMPILER_LLP64
 ** @brief Defined if the host compiler data model is LLP64.
 ** @see @ref host-compiler-data-model
 **/

/** @def VL_COMPILER_LP64
 ** @brief Defined if the host compiler data model is LP64.
 ** @see @ref host-compiler-data-model
 **/

/** @def VL_COMPILER_ILP32
 ** @brief Defined if the host compiler data model is ILP32.
 ** @see @ref host-compiler-data-model
 **/

/** @def VL_ARCH_IX86
 ** @brief Defined if the host CPU is of the Intel x86 family.
 ** @see @ref host-arch
 **/

/** @def VL_ARCH_IA64
 ** @brief Defined if the host CPU is of the Intel Architecture-64 family.
 ** @see @ref host-arch
 **/

/** @def VL_ARCH_LITTLE_ENDIAN
 ** @brief Defined if the host CPU is little endian
 ** @see @ref host-arch-endianness
 **/

/** @def VL_ARCH_BIG_ENDIAN
 ** @brief Defined if the host CPU is big endian
 ** @see @ref host-arch-endianness
 **/

/** @def VL_INLINE
 ** @brief Adds appropriate inline function qualifier
 ** @see @ref host-compiler-other
 **/

/** @def VL_EXPORT
 ** @brief Declares a DLL exported symbol
 ** @see @ref host-compiler-other
 **/

/** @def VL_DISABLE_SSE2
 ** @brief Defined if SSE2 support if disabled
 **
 ** Define this symbol during compliation of the library and linking
 ** to another project to disable VLFeat SSE2 support.
 **/

/** @def VL_DISABLE_THREADS
 ** @brief Defined if multi-threading support is disabled
 **
 ** Define this symbol during compilation of the library and linking
 ** to anogher project to disable VLFeat multi-threading support.
 **/

/** @def VL_THREADS_WIN
 ** @brief Defined if the host uses Windows threads.
 ** @see @ref host-threads
 **/

/** @def VL_THREADS_POSIX
 ** @brief Defiend if the host uses POISX threads.
 ** @see @ref host-threads
 **/

/** --------------------------------------------------------------- */

#include "host.h"
#include "generic.h"
#include 

#if defined(VL_ARCH_IX86) || defined(VL_ARCH_IA64) || defined(VL_ARCH_X64)
#define HAS_CPUID
#else
#undef HAS_CPUID
#endif

#if defined(HAS_CPUID) & defined(VL_COMPILER_MSC)
#include 
VL_INLINE void
_vl_cpuid (vl_int32* info, int function)
{
  __cpuid(info, function) ;
}
#endif

#if defined(HAS_CPUID) & defined(VL_COMPILER_GNUC)
VL_INLINE void
_vl_cpuid (vl_int32* info, int function)
{
#if defined(VL_ARCH_IX86) && (defined(__PIC__) || defined(__pic__))
  /* This version is compatible with -fPIC on x386 targets. This special
   * case is required becaus
   * on such platform -fPIC alocates ebx as global offset table pointer.
   * Note that =r below will be mapped to a register different from ebx,
   * so the code is sound. */
  __asm__ __volatile__
  ("pushl %%ebx      \n" /* save %ebx */
   "cpuid            \n"
   "movl %%ebx, %1   \n" /* save what cpuid just put in %ebx */
   "popl %%ebx       \n" /* restore the old %ebx */
   : "=a"(info[0]), "=r"(info[1]), "=c"(info[2]), "=d"(info[3])
   : "a"(function)
   : "cc") ; /* clobbered (cc=condition codes) */
#else /* no -fPIC or -fPIC with a 64-bit target */
  __asm__ __volatile__
  ("cpuid"
   : "=a"(info[0]), "=b"(info[1]), "=c"(info[2]), "=d"(info[3])
   : "a"(function)
   : "cc") ;
#endif
}

#endif

void
_vl_x86cpu_info_init (VlX86CpuInfo *self)
{
  vl_int32 info [4] ;
  int max_func = 0 ;
  _vl_cpuid(info, 0) ;
  max_func = info[0] ;
  self->vendor.words[0] = info[1] ;
  self->vendor.words[1] = info[3] ;
  self->vendor.words[2] = info[2] ;

  if (max_func >= 1) {
    _vl_cpuid(info, 1) ;
    self->hasMMX   = info[3] & (1 << 23) ;
    self->hasSSE   = info[3] & (1 << 25) ;
    self->hasSSE2  = info[3] & (1 << 26) ;
    self->hasSSE3  = info[2] & (1 <<  0) ;
    self->hasSSE41 = info[2] & (1 << 19) ;
    self->hasSSE42 = info[2] & (1 << 20) ;
  }
}

char *
_vl_x86cpu_info_to_string_copy (VlX86CpuInfo const *self)
{
  char * string = 0 ;
  int length = 0 ;
  while (string == 0) {
    if (length > 0) {
      string = vl_malloc(sizeof(char) * length) ;
      if (string == NULL) break ;
    }
    length = snprintf(string, length, "%s%s%s%s%s%s%s",
                      self->vendor.string,
                      self->hasMMX   ? " MMX" : "",
                      self->hasSSE   ? " SSE" : "",
                      self->hasSSE2  ? " SSE2" : "",
                      self->hasSSE3  ? " SSE3" : "",
                      self->hasSSE41 ? " SSE41" : "",
                      self->hasSSE42 ? " SSE42" : "") ;
    length += 1 ;
  }
  return string ;
}

/** ------------------------------------------------------------------
 ** @brief Human readable static library configuration
 ** @return a new string with the static configuration.
 **
 ** The string includes information about the compiler, the host, and
 ** other static configuration parameters. The string must be released
 ** by ::vl_free.
 **/

VL_EXPORT char *
vl_static_configuration_to_string_copy ()
{
  char const * hostString =
#ifdef VL_ARCH_X64
  "X64"
#endif
#ifdef VL_ARCH_IA64
  "IA64"
#endif
#ifdef VL_ARCH_IX86
  "IX86"
#endif
#ifdef VL_ARCH_PPC
  "PPC"
#endif
  ", "
#ifdef VL_ARCH_BIG_ENDIAN
  "big_endian"
#endif
#ifdef VL_ARCH_LITTLE_ENDIAN
  "little_endian"
#endif
  ;

  char compilerString [1024] ;

  char const * libraryString =
#ifndef VL_DISABLE_THREADS
#ifdef VL_THREADS_WIN
  "Windows_threads"
#elif VL_THREADS_POSIX
  "POSIX_threads"
#endif
#else
  "No_threads"
#endif
#ifndef VL_DISABLE_SSE2
  ", SSE2"
#endif
  ;

snprintf(compilerString, 1024,
#ifdef VL_COMPILER_MSC
  "Microsoft Visual C++ %d"
#define v VL_COMPILER_MSC
#endif
#ifdef VL_COMPILER_GNUC
  "GNU C %d"
#define v VL_COMPILER_GNUC
#endif
  " "
#ifdef VL_COMPILER_LP64
  "LP64"
#endif
#ifdef VL_COMPILER_LLP64
  "LP64"
#endif
#ifdef VL_COMPILER_ILP32
  "ILP32"
#endif
           , v) ;

  {
    char * string = 0 ;
    int length = 0 ;
    while (string == 0) {
      if (length > 0) {
        string = vl_malloc(sizeof(char) * length) ;
        if (string == NULL) break ;
      }
      length = snprintf(string, length, "%s, %s, %s",
                        hostString,
                        compilerString,
                        libraryString) ;
      length += 1 ;
    }
    return string ;
  }
}
vlfeat-0.9.16/vl/host.h000066400000000000000000000377041203326130700146470ustar00rootroot00000000000000/** @file host.h
 ** @brief Host
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_HOST_H
#define VL_HOST_H

/** ------------------------------------------------------------------
 ** @name Configuration options
 ** @{ */

#if defined(__DOXYGEN__)
#define VL_DISABLE_THREADS
#define VL_DISABLE_SSE2
#endif

/** @} */

/** ------------------------------------------------------------------
 ** @name Defining functions
 ** @{ */

#if defined(__DOXYGEN__)
#define VL_EXPORT
#define VL_INLINE
#endif

/** @} */

/** ------------------------------------------------------------------
 ** @name C preprocessor helper macros
 ** @{ */

/** @brief Convert the argument to a string
 **
 ** @param x value to be stringified.
 **
 ** This macro stringifies the argument @a x by means of the
 ** # prerpocessor operator.
 **
 ** The standard C preprocessor does not prescan arguments which are
 ** stringified, so
 **
 ** @code
 ** #define A B
 ** char const * str = VL_STRINGIFY(A) ;
 ** @endcode
 **
 ** initializes str with a pointer to the string
 ** "A", which mihgt be unexpected. To fix this issue,
 ** you can use ::VL_XSTRINGIFY.
 **
 ** @sa ::VL_XSTRINGIFY
 **/

#define VL_STRINGIFY(x) # x

/** @brief Expand and then convert the argument to a string
 **
 ** @param x value to be macro-expanded and converted.
 **
 ** This macro macro-expands the argument @a x and stringifies the
 ** result of the expansion. For instance
 **
 ** @code
 ** #define A B
 ** char const * str = VL_STRINGIFY(A) ;
 ** @endcode
 **
 ** initializes str with a pointer to the string
 ** "B".
 **
 ** @sa ::VL_STRINGIFY
 **/

#define VL_XSTRINGIFY(x) VL_STRINGIFY(x)

/** @brief Concatenate two arguments into a lexical unit
 **
 ** @param x first argument to be concatenated.
 ** @param y second argument to be concatenated.
 **
 ** This macro concatenates its arguments into a single lexical unit
 ** by means of the ## preprocessor operator. Notice that
 ** arguments concatenated by ## are not pre-expanded by
 ** the C preprocessor. To macro-expand the arguments and then
 ** concatenate them,use ::VL_XCAT.
 **
 ** @see ::VL_XCAT
 **/

#define VL_CAT(x,y) x ## y

/** @brief Expand and then concatenate two arguments into a lexical unit
 **
 ** @param x first argument to be concatenated.
 ** @param y second argument to be concatenated.
 **
 ** This macro is the same as ::VL_CAT, except that the arguments are
 ** macro expanded before being concatenated.
 **
 ** @see ::VL_CAT
 **/

#define VL_XCAT(x,y) VL_CAT(x,y)

/** @brief Expand and then concatenate three arguments into a lexical unit
 **
 ** @param x first argument to be concatenated.
 ** @param y second argument to be concatenated.
 ** @param z third argument to be concatenated.
 **
 ** This macro is the same as ::VL_XCAT, except that it has three arguments.
 **
 ** @see ::VL_XCAT
 **/

#define VL_XCAT3(x,y,z) VL_XCAT(VL_XCAT(x,y),z)

/** @brief Expand and then concatenate four arguments into a lexical unit
 **
 ** @param x first argument to be concatenated.
 ** @param y second argument to be concatenated.
 ** @param z third argument to be concatenated.
 ** @param u fourth argument to be concatenated.
 **
 ** This macro is the same as ::VL_XCAT, except that it has four arguments.
 **
 ** @see ::VL_XCAT
 **/

#define VL_XCAT4(x,y,z,u) VL_XCAT(VL_XCAT3(x,y,z),u)

/** @brief Expand and then concatenate five arguments into a lexical unit
 **
 ** @param x first argument to be concatenated.
 ** @param y second argument to be concatenated.
 ** @param z third argument to be concatenated.
 ** @param u fourth argument to be concatenated.
 ** @param v fifth argument to be concatenated.
 **
 ** This macro is the same as ::VL_XCAT, except that it has five arguments.
 **
 ** @see ::VL_XCAT
 **/

#define VL_XCAT5(x,y,z,u,v) VL_XCAT(VL_XCAT4(x,y,z,u),v)

/** @} */

/** @brief Convert a boolean to "yes" or "no" strings
 ** @param x boolean to convert.
 ** A pointer to either the string "yes" (if @a x is true)
 ** or the string "no".
 ** @par Example
 ** @code
 ** VL_PRINTF("Is x true? %s.", VL_YESNO(x))
 ** @endcode
 **/

#define VL_YESNO(x) ((x)?"yes":"no")

/*
 The following macros identify the host OS, architecture and compiler.
 They are derived from http://predef.sourceforge.net/
 */

/** @name Identifying the host operating system
 ** @{ */
#if defined(linux)     || \
    defined(__linux)   || \
    defined(__linux__) || \
    defined(__DOXYGEN__)
#define VL_OS_LINUX 1
#endif

#if (defined(__APPLE__) & defined(__MACH__)) || \
     defined(__DOXYGEN__)
#define VL_OS_MACOSX 1
#endif

#if defined(__WIN32__) || \
    defined(_WIN32)    || \
    defined(__DOXYGEN__)
#define VL_OS_WIN 1
#endif

#if defined(_WIN64) || \
    defined(__DOXYGEN__)
#define VL_OS_WIN64 1
#endif
/** @} */

/** @name Identifying the host threading library
 ** @{ */
#if defined(VL_OS_MACOSX) || defined(VL_OS_LINUX) || \
defined(__DOXYGEN__)
#define VL_THREADS_POSIX 1
#endif

#if defined(VL_OS_WIN) || defined(VL_OS_WIN64) || \
defined(__DOXYGEN__)
#define VL_THREADS_WIN 1
#endif
/** @} */

/** @name Identifying the host compiler
 ** @{ */
#if defined(__GNUC__) || defined(__DOXYGEN__)
# if defined(__GNUC_PATCHLEVEL__)
#  define VL_COMPILER_GNUC (__GNUC__ * 10000 \
+ __GNUC_MINOR__ * 100 \
+ __GNUC_PATCHLEVEL__)
# else
#  define VL_COMPILER_GNUC (__GNUC__ * 10000 \
+ __GNUC_MINOR__ * 100)
# endif
#endif

#if defined(_MSC_VER) || defined(__DOXYGEN__)
#define VL_COMPILER_MSC _MSC_VER
#endif

#if defined(__LCC__) || defined(__DOXYGEN__)
#warning "LCC support is experimental!"
#define VL_COMPILER_LCC 1
#endif

/** @} */

/** @name Identifying the host CPU architecture
 ** @{ */
#if defined(i386)     || \
    defined(__i386__) || \
    defined(__DOXYGEN__)
#define VL_ARCH_IX86 300
#elif defined(__i486__)
#define VL_ARCH_IX86 400
#elif defined(__i586__)
#define VL_ARCH_IX86 500
#elif defined(__i686__)
#define VL_ARCH_IX86 600
#elif defined(_M_IX86)
#define VL_ARCH_IX86 _M_IX86
#endif

#if defined(_M_X64)    || \
    defined(__amd64__) || \
    defined(__amd64)   || \
    defined(__x86_64)  || \
    defined(__x86_64)
#define VL_ARCH_X64
#endif

#if defined(__ia64__)   || \
    defined(_IA64)      || \
    defined(__IA64)     || \
    defined(__ia64)     || \
    defined(_M_IA64)    || \
    defined(__DOXYGEN__)
#define VL_ARCH_IA64
#endif
/** @} */

/** @name Identifying the host data model
 ** @{ */
#if defined(__LLP64__) || \
    defined(__LLP64)   || \
    defined(__LLP64)   || \
    (defined(VL_COMPILER_MSC) & defined(VL_OS_WIN64)) || \
    (defined(VL_COMPILER_LCC) & defined(VL_OS_WIN64)) || \
    defined(__DOXYGEN__)
#define VL_COMPILER_LLP64
#endif

#if defined(__LP64__) || \
    defined(__LP64)   || \
    defined(__LP64)   || \
    (defined(VL_OS_MACOSX) & defined(VL_ARCH_IA64)) || \
    defined(__DOXYGEN__)
#define VL_COMPILER_LP64
#endif

#if (!defined(VL_COMPILER_LLP64) & !defined(VL_COMPILER_LP64)) || \
    defined(__DOXYGEN__)
#define VL_COMPILER_ILP32
#endif
/** @} */

/** @name Identifying the host endianness
 ** @{ */
#if defined(__LITTLE_ENDIAN__) || \
    defined(VL_ARCH_IX86)      || \
    defined(VL_ARCH_IA64)      || \
    defined(VL_ARCH_X64)       || \
    defined(__DOXYGEN__)
#define VL_ARCH_LITTLE_ENDIAN
#endif

#if  defined(__DOXYGEN__) || \
    !defined(VL_ARCH_LITTLE_ENDIAN)
#define VL_ARCH_BIG_ENDIAN
#endif
/** @} */

#if defined(VL_COMPILER_MSC) & ! defined(__DOXYGEN__)
#  define VL_UNUSED
#  define VL_INLINE static __inline
#  define snprintf _snprintf
#  define isnan _isnan
#  ifdef VL_BUILD_DLL
#    ifdef __cplusplus
#      define VL_EXPORT extern "C" __declspec(dllexport)
#    else
#      define VL_EXPORT extern __declspec(dllexport)
#    endif
#  else
#    ifdef __cplusplus
#      define VL_EXPORT extern "C" __declspec(dllimport)
#    else
#      define VL_EXPORT extern __declspec(dllimport)
#    endif
#  endif
#endif

#if defined(VL_COMPILER_LCC) & ! defined(__DOXYGEN__)
#  define VL_UNUSED
#  define VL_INLINE static __inline
#  define snprintf _snprintf
#  define isnan _isnan
VL_INLINE float fabsf(float x) { return (float) fabs((double) x) ; }
#  ifdef VL_BUILD_DLL
#    define VL_EXPORT extern __declspec(dllexport)
#  else
#    define VL_EXPORT extern
#  endif
#endif

#if defined(VL_COMPILER_GNUC) & ! defined(__DOXYGEN__)
#  define VL_UNUSED __attribute__((unused))
#  define VL_INLINE static __inline__
#  ifdef VL_BUILD_DLL
#    ifdef __cplusplus
#      define VL_EXPORT __attribute__((visibility ("default"))) extern "C"
#    else
#      define VL_EXPORT __attribute__((visibility ("default"))) extern
#    endif
#  else
#    ifdef __cplusplus
#      define VL_EXPORT extern "C"
#    else
#      define VL_EXPORT extern
#    endif
#  endif
#endif

VL_EXPORT char * vl_static_configuration_to_string_copy () ;

/** ------------------------------------------------------------------
 ** @name Atomic data types
 ** @{
 **/

#define VL_TRUE 1   /**< @brief @c true (1) constant */
#define VL_FALSE 0  /**< @brief @c false (0) constant */

#if defined(VL_COMPILER_LP64) || defined(VL_COMPILER_LLP64)
typedef long long           vl_int64 ;   /**< @brief Signed 64-bit integer. */
typedef int                 vl_int32 ;   /**< @brief Signed 32-bit integer. */
typedef short               vl_int16 ;   /**< @brief Signed 16-bit integer. */
typedef char                vl_int8  ;   /**< @brief Signed  8-bit integer. */

typedef long long unsigned  vl_uint64 ;  /**< @brief Unsigned 64-bit integer. */
typedef int       unsigned  vl_uint32 ;  /**< @brief Unsigned 32-bit integer. */
typedef short     unsigned  vl_uint16 ;  /**< @brief Unsigned 16-bit integer. */
typedef char      unsigned  vl_uint8 ;   /**< @brief Unsigned  8-bit integer. */

typedef int                 vl_int ;     /**< @brief Same as @c int. */
typedef unsigned int        vl_uint ;    /**< @brief Same as unsigned int. */

typedef int                 vl_bool ;    /**< @brief Boolean. */
typedef vl_int64            vl_intptr ;  /**< @brief Integer holding a pointer. */
typedef vl_uint64           vl_uintptr ; /**< @brief Unsigned integer holding a pointer. */
typedef vl_uint64           vl_size ;    /**< @brief Unsigned integer holding the size of a memory block. */
typedef vl_int64            vl_index ;   /**< @brief Signed version of ::vl_size and ::vl_uindex */
typedef vl_uint64           vl_uindex ;  /**< @brief Same as ::vl_size */
#endif

#if defined(VL_COMPILER_ILP32)

#ifdef VL_COMPILER_MSC
typedef __int64             vl_int64 ;
#else
typedef long long           vl_int64 ;
#endif

typedef int                 vl_int32 ;
typedef short               vl_int16 ;
typedef char                vl_int8  ;

#ifdef VL_COMPILER_MSC
typedef __int64   unsigned  vl_uint64 ;
#else
typedef long long unsigned  vl_uint64 ;
#endif
typedef int       unsigned  vl_uint32 ;
typedef short     unsigned  vl_uint16 ;
typedef char      unsigned  vl_uint8 ;

typedef int                 vl_int ;
typedef unsigned int        vl_uint ;

typedef int                 vl_bool ;
typedef vl_int32            vl_intptr ;
typedef vl_uint32           vl_uintptr ;
typedef vl_uint32           vl_size ;
typedef vl_int32            vl_index ;
typedef vl_uint32           vl_uindex ;
#endif
/** @} */

/** ------------------------------------------------------------------
 ** @name Printing the atomic data types
 ** @{ */

/* Lengths only: */

/** @def VL_FL_INT64
 ** @brief @c printf length flag for ::vl_int64 and ::vl_uint64.
 **/

/** @def VL_FL_INT32
 ** @brief @c printf length flag for ::vl_int32 and ::vl_uint32.
 **/

/** @def VL_FL_INT16
 ** @brief @c printf length flag for ::vl_int16 and ::vl_uint16.
 **/

/** @def VL_FL_INT8
 ** @brief @c printf length flag for ::vl_int8 and ::vl_uint8.
 **/

/** @def VL_FL_INDEX
 ** @brief @c printf length flag for ::vl_index and ::vl_uindex
 **/

#ifdef VL_COMPILER_MSC
#define VL_FL_INT64  "I64"
#else
#define VL_FL_INT64  "ll"
#endif
#define VL_FL_INT32  ""
#define VL_FL_INT16  "h"
#define VL_FL_INT8   "hh"

#if defined(VL_COMPILER_LP64) || defined(VL_COMPILER_LLP64)
#define VL_FL_INDEX VL_FL_INT64
#endif

#if defined(VL_COMPILER_ILP32)
#define VL_FL_INDEX VL_FL_INT32
#endif

/* Formats (but not conversions!): */

/** @def VL_FMT_SIZE
 ** @brief @c printf flag for ::vl_size
 **/

/** @def VL_FMT_INDEX
 ** @brief @c printf flag for ::vl_index
 **/

/** @def VL_FMT_UINDEX
 ** @brief @c printf flag for ::vl_uindex
 **/

/** @def VL_FMT_INTPTR
 ** @brief @c printf flag for ::vl_intptr
 **/

/** @def VL_FMT_UINTPTR
 ** @brief @c printf flag for ::vl_uintptr
 **/

#define VL_FMT_INDEX   VL_FL_INDEX "d"
#define VL_FMT_INTPTR  VL_FMT_INDEX
#define VL_FMT_UINDEX  VL_FL_INDEX "u"
#define VL_FMT_SIZE    VL_FMT_UINDEX
#define VL_FMT_UINTPTR VL_FMT_UINDEX

/** @} */

/** ------------------------------------------------------------------
 ** @name Atomic data types limits
 ** @{ */

/** @brief Largest integer (math constant) */
#define VL_BIG_INT  0x7FFFFFFFL

/** @brief Smallest integer (math constant) */
#define VL_SMALL_INT  (- VL_BIG_INT - 1)

/** @brief Largest unsigned integer (math constant) */
#define VL_BIG_UINT 0xFFFFFFFFUL

/** @} */

/** ------------------------------------------------------------------
 ** @name Endianness detection and conversion
 ** @{
 **/
VL_INLINE void vl_swap_host_big_endianness_8 (void *dst, void* src) ;
VL_INLINE void vl_swap_host_big_endianness_4 (void *dst, void* src) ;
VL_INLINE void vl_swap_host_big_endianness_2 (void *dst, void* src) ;
/** @} */

/** ------------------------------------------------------------------
 ** @name Obtaining host info at run time
 ** @{ */

typedef struct _VlX86CpuInfo
{
  union {
    char string [0x20] ;
    vl_uint32 words [0x20 / 4] ;
  } vendor ;
  vl_bool hasSSE42 ;
  vl_bool hasSSE41 ;
  vl_bool hasSSE3 ;
  vl_bool hasSSE2 ;
  vl_bool hasSSE ;
  vl_bool hasMMX ;
} VlX86CpuInfo ;

void _vl_x86cpu_info_init (VlX86CpuInfo *self) ;
char * _vl_x86cpu_info_to_string_copy (VlX86CpuInfo const *self) ;

/** @} */

/** ------------------------------------------------------------------
 ** @brief Host <-> big endian transformation for 8-bytes value
 **
 ** @param dst destination 8-byte buffer.
 ** @param src source 8-byte bufffer.
 ** @see @ref host-arch-endianness.
 **/

VL_INLINE void
vl_swap_host_big_endianness_8 (void *dst, void* src)
{
  char *dst_ = (char*) dst ;
  char *src_ = (char*) src ;
#if defined(VL_ARCH_BIG_ENDIAN)
    dst_ [0] = src_ [0] ;
    dst_ [1] = src_ [1] ;
    dst_ [2] = src_ [2] ;
    dst_ [3] = src_ [3] ;
    dst_ [4] = src_ [4] ;
    dst_ [5] = src_ [5] ;
    dst_ [6] = src_ [6] ;
    dst_ [7] = src_ [7] ;
#else
    dst_ [0] = src_ [7] ;
    dst_ [1] = src_ [6] ;
    dst_ [2] = src_ [5] ;
    dst_ [3] = src_ [4] ;
    dst_ [4] = src_ [3] ;
    dst_ [5] = src_ [2] ;
    dst_ [6] = src_ [1] ;
    dst_ [7] = src_ [0] ;
#endif
}

/** ------------------------------------------------------------------
 ** @brief Host <-> big endian transformation for 4-bytes value
 **
 ** @param dst destination 4-byte buffer.
 ** @param src source 4-byte bufffer.
 ** @sa @ref host-arch-endianness.
 **/

VL_INLINE void
vl_swap_host_big_endianness_4 (void *dst, void* src)
{
  char *dst_ = (char*) dst ;
  char *src_ = (char*) src ;
#if defined(VL_ARCH_BIG_ENDIAN)
    dst_ [0] = src_ [0] ;
    dst_ [1] = src_ [1] ;
    dst_ [2] = src_ [2] ;
    dst_ [3] = src_ [3] ;
#else
    dst_ [0] = src_ [3] ;
    dst_ [1] = src_ [2] ;
    dst_ [2] = src_ [1] ;
    dst_ [3] = src_ [0] ;
#endif
}

/** ------------------------------------------------------------------
 ** @brief Host <-> big endian transformation for 2-bytes value
 **
 ** @param dst destination 2-byte buffer.
 ** @param src source 2-byte bufffer.
 ** @see @ref host-arch-endianness.
 **/

VL_INLINE void
vl_swap_host_big_endianness_2 (void *dst, void* src)
{
  char *dst_ = (char*) dst ;
  char *src_ = (char*) src ;
#if defined(VL_ARCH_BIG_ENDIAN)
    dst_ [0] = src_ [0] ;
    dst_ [1] = src_ [1] ;
#else
    dst_ [0] = src_ [1] ;
    dst_ [1] = src_ [0] ;
#endif
}

/* VL_HOST_H */
#endif
vlfeat-0.9.16/vl/ikmeans.c000066400000000000000000000145271203326130700153120ustar00rootroot00000000000000/** @file ikmeans.c
 ** @brief Integer K-Means clustering - Definition
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file ikmeans.h
 **
 ** Integer K-means (IKM) is an implementation of K-means clustering
 ** (or Vector Quantization, VQ) for integer data. This is
 ** particularly useful for clustering large collections of visual
 ** descriptors.
 **
 ** Use the function ::vl_ikm_new() to create a IKM
 ** quantizer. Initialize the IKM quantizer with @c K clusters by
 ** ::vl_ikm_init() or similar function. Use ::vl_ikm_train() to train
 ** the quantizer. Use ::vl_ikm_push() or ::vl_ikm_push_one() to
 ** quantize new data.
 **
 ** Given data @f$x_1,\dots,x_N\in R^d@f$ and a number of clusters
 ** @f$K@f$, the goal is to find assignments @f$a_i\in\{1,\dots,K\},@f$
 ** and centers @f$c_1,\dots,c_K\in R^d@f$ so that the expected
 ** distortion
 **
 ** @f[
 **   E(\{a_{i}, c_j\}) = \frac{1}{N} \sum_{i=1}^N d(x_i, c_{a_i})
 ** @f]
 **
 ** is minimized. Here @f$d(x_i, c_{a_i})@f$ is the
 ** distortion, i.e. the cost we pay for representing @f$ x_i
 ** @f$ by @f$ c_{a_i} @f$. IKM uses the squared distortion
 ** @f$d(x,y)=\|x-y\|^2_2@f$.
 **
 ** @section ikmeans-algo Algorithms
 **
 ** @subsection ikmeans-alg-init Initialization
 **
 ** Most K-means algorithms are iterative and needs an initialization
 ** in the form of an initial choice of the centers
 ** @f$c_1,\dots,c_K@f$. We include the following options:
 **
 ** - User specified centers (::vl_ikm_init);
 ** - Random centers (::vl_ikm_init_rand);
 ** - Centers from @c K randomly selected data points (::vl_ikm_init_rand_data).
 **
 ** @subsection ikmeans-alg-lloyd Lloyd
 **
 ** The Lloyd (also known as Lloyd-Max and LBG) algorithm iteratively:
 **
 ** - Fixes the centers, optimizing the assignments (minimizing by
 **   exhaustive search the association of each data point to the
 **   centers);
 ** - Fixes the assignments and optimizes the centers (by descending
 **   the distortion error function). For the squared distortion, this
 **   step is in closed form.
 **
 ** This algorithm is not particularly efficient because all data
 ** points need to be compared to all centers, for a complexity
 ** @f$O(dNKT)@f$, where T is the total number of iterations.
 **
 ** @subsection ikmeans-alg-elkan Elkan
 **
 ** The Elkan algorithm is an optimized variant of Lloyd. By making
 ** use of the triangle inequality, many comparisons of data points
 ** and centers are avoided, especially at later iterations.
 ** Usually 4-5 times less comparisons than Lloyd are preformed,
 ** providing a dramatic speedup in the execution time.
 **
 **/

#include "ikmeans.h"

#include 
#include 
#include  /* memset */
#include "assert.h"

static void    vl_ikm_init_lloyd      (VlIKMFilt*) ;
static void    vl_ikm_init_elkan      (VlIKMFilt*) ;
static int     vl_ikm_train_lloyd     (VlIKMFilt*, vl_uint8 const*, int) ;
static int     vl_ikm_train_elkan     (VlIKMFilt*, vl_uint8 const*, int) ;
static void    vl_ikm_push_lloyd      (VlIKMFilt*, vl_uint*, vl_uint8 const*, int) ;
static void    vl_ikm_push_elkan      (VlIKMFilt*, vl_uint*, vl_uint8 const*, int) ;

/** @brief Create a new IKM quantizer
 **
 ** @param method Clustering algorithm.
 **
 ** The function allocates initializes a new IKM quantizer to
 ** operate based algorithm @a method.
 **
 ** @a method has values in the enumerations ::VlIKMAlgorithms.
 **
 ** @return new IKM quantizer.
 **/

VlIKMFilt *
vl_ikm_new (int method)
{
  VlIKMFilt *f =  vl_malloc (sizeof(VlIKMFilt)) ;
  f -> centers = 0 ;
  f -> inter_dist = 0 ;

  f -> M = 0 ;
  f -> K = 0 ;
  f -> method     = method ;
  f -> max_niters = 200 ;
  f -> verb       = 0 ;

  return f ;
}

/** @brief Delete IKM quantizer
 **
 ** @param f IKM quantizer.
 **/

void vl_ikm_delete (VlIKMFilt* f)
{
  if (f) {
    if (f-> centers)    vl_free (f-> centers) ;
    if (f-> inter_dist) vl_free (f-> inter_dist) ;
    vl_free (f) ;
  }
}

/** @brief Train clusters
 **
 ** @param f     IKM quantizer.
 ** @param data  data.
 ** @param N     number of data (@a N @c >= 1).
 **
 ** @return -1 if an overflow may have occurred.
 **/

VL_EXPORT
int vl_ikm_train (VlIKMFilt *f, vl_uint8 const *data, int N)
{
  int err ;

  if (f-> verb) {
    VL_PRINTF ("ikm: training with %d data\n",  N) ;
    VL_PRINTF ("ikm: %d clusters\n",  f -> K) ;
  }

  switch (f -> method) {
  case VL_IKM_LLOYD : err = vl_ikm_train_lloyd (f, data, N) ; break ;
  case VL_IKM_ELKAN : err = vl_ikm_train_elkan (f, data, N) ; break ;
  default :
    abort() ;
  }
  return err ;
}

/** @brief Project data to clusters
 **
 ** @param f     IKM quantizer.
 ** @param asgn  Assignments (out).
 ** @param data  data.
 ** @param N     number of data (@a N @c >= 1).
 **
 ** The function projects the data @a data on the integer K-means
 ** clusters specified by the IKM quantizer @a f. Notice that the
 ** quantizer must be initialized.
 **/

VL_EXPORT
void
vl_ikm_push (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N) {
  switch (f -> method) {
  case VL_IKM_LLOYD : vl_ikm_push_lloyd (f, asgn, data, N) ; break ;
  case VL_IKM_ELKAN : vl_ikm_push_elkan (f, asgn, data, N) ; break ;
  default :
    abort() ;
  }
}

/** @brief Project one datum to clusters
 **
 ** @param centers centers.
 ** @param data    datum to project.
 ** @param K       number of centers.
 ** @param M       dimensionality of the datum.
 **
 ** The function projects the specified datum @a data on the clusters
 ** specified by the centers @a centers.
 **
 ** @return the cluster index.
 **/

VL_EXPORT
vl_uint
vl_ikm_push_one (vl_ikm_acc const *centers,
		 vl_uint8 const *data,
		 int M, int K)
{
  int i,k ;

  /* assign data to centers */
  vl_int32 best_dist = 0 ;
  vl_uint  best      = (vl_uint)-1 ;

  for(k = 0 ; k < K ; ++k) {
    vl_int32 dist = 0 ;

    /* compute distance with this center */
    for(i = 0 ; i < M ; ++i) {
      vl_int32 delta = data[i] - centers[k*M + i] ;
      dist += delta * delta ;
    }

    /* compare with current best */
    if (best == (vl_uint)-1 || dist < best_dist) {
      best = k  ;
      best_dist = dist ;
    }
  }
  return best;
}

#include "ikmeans_init.tc"
#include "ikmeans_lloyd.tc"
#include "ikmeans_elkan.tc"
vlfeat-0.9.16/vl/ikmeans.h000066400000000000000000000106001203326130700153030ustar00rootroot00000000000000/** @file ikmeans.h
 ** @brief Integer K-Means clustering
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_IKMEANS_H
#define VL_IKMEANS_H

#include "generic.h"
#include "random.h"

typedef vl_int32 vl_ikm_acc ;  /**< IKM accumulator data type */

/** ------------------------------------------------------------------
 ** @brief IKM algorithms
 **/

enum VlIKMAlgorithms {
  VL_IKM_LLOYD,       /**< Lloyd algorithm */
  VL_IKM_ELKAN        /**< Elkan algorithm */
} ;

/** ------------------------------------------------------------------
 ** @brief IKM quantizer
 **/

typedef struct _VlIKMFilt
{
  int M ;                  /**< data dimensionality */
  int K ;                  /**< number of centers   */

  int method ;             /**< Learning method */
  int max_niters ;         /**< Lloyd: maximum number of iterations */
  int verb ;               /**< verbosity level */

  vl_ikm_acc *centers ;    /**< centers */
  vl_ikm_acc *inter_dist ; /**< centers inter-distances */
} VlIKMFilt ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT VlIKMFilt *vl_ikm_new    (int method) ;
VL_EXPORT void       vl_ikm_delete (VlIKMFilt *f) ;
/** @} */

/** @name Process data
 ** @{
 **/
VL_EXPORT void vl_ikm_init           (VlIKMFilt *f, vl_ikm_acc const *centers, int M, int K) ;
VL_EXPORT void vl_ikm_init_rand      (VlIKMFilt *f, int M, int K) ;
VL_EXPORT void vl_ikm_init_rand_data (VlIKMFilt *f, vl_uint8 const *data, int M, int N, int K) ;
VL_EXPORT int  vl_ikm_train          (VlIKMFilt *f, vl_uint8 const *data, int N) ;
VL_EXPORT void vl_ikm_push           (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N) ;

VL_EXPORT
vl_uint  vl_ikm_push_one   (vl_ikm_acc const *centers,
                            vl_uint8 const *data,
                            int M, int K) ;
/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE int vl_ikm_get_ndims      (VlIKMFilt const *f) ;
VL_INLINE int vl_ikm_get_K          (VlIKMFilt const *f) ;
VL_INLINE int vl_ikm_get_verbosity  (VlIKMFilt const *f) ;
VL_INLINE int vl_ikm_get_max_niters (VlIKMFilt const *f) ;
VL_INLINE vl_ikm_acc const * vl_ikm_get_centers (VlIKMFilt const *f) ;
/** @} */

/** @name Set parameters
 ** @{
 **/
VL_INLINE void vl_ikm_set_verbosity  (VlIKMFilt *f, int verb) ;
VL_INLINE void vl_ikm_set_max_niters (VlIKMFilt *f, int max_niters) ;
/** @} */

/** ------------------------------------------------------------------
 ** @brief Get data dimensionality
 ** @param f IKM filter.
 ** @return data dimensionality.
 **/

VL_INLINE int
vl_ikm_get_ndims (VlIKMFilt const* f)
{
  return f-> M ;
}

/** ------------------------------------------------------------------
 ** @brief Get the number of centers K
 ** @param f IKM filter.
 ** @return number of centers K.
 **/

VL_INLINE int
vl_ikm_get_K (VlIKMFilt const* f)
{
  return f-> K ;
}

/** ------------------------------------------------------------------
 ** @brief Get verbosity level
 ** @param f IKM filter.
 ** @return verbosity level.
 **/

VL_INLINE int
vl_ikm_get_verbosity (VlIKMFilt const* f)
{
  return f-> verb ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of iterations
 ** @param f IKM filter.
 ** @return maximum number of iterations.
 **/

VL_INLINE int
vl_ikm_get_max_niters (VlIKMFilt const* f)
{
  return f-> max_niters ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of iterations
 ** @param f IKM filter.
 ** @return maximum number of iterations.
 **/

VL_INLINE vl_ikm_acc const *
vl_ikm_get_centers (VlIKMFilt const* f)
{
  return f-> centers ;
}

/** ------------------------------------------------------------------
 ** @brief Set verbosity level
 ** @param f    IKM filter.
 ** @param verb verbosity level.
 **/

VL_INLINE void
vl_ikm_set_verbosity (VlIKMFilt *f, int verb)
{
  f-> verb = VL_MAX(0,verb) ;
}

/** ------------------------------------------------------------------
 ** @brief Set maximum number of iterations
 ** @param f          IKM filter.
 ** @param max_niters maximum number of iterations.
 **/

VL_INLINE void
vl_ikm_set_max_niters (VlIKMFilt *f, int max_niters)
{
  f-> max_niters = max_niters ;
}

/* VL_IKMEANS_H */
#endif
vlfeat-0.9.16/vl/ikmeans_elkan.tc000066400000000000000000000236351203326130700166500ustar00rootroot00000000000000/** @file ikmeans_elkan.tc
 ** @brief Integer K-Means - Elkan Algorithm - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @internal
 ** Square root of an integer value
 **
 ** @author Jim Ulery
 **/

static unsigned long
isqrt(unsigned long val) {
  unsigned long temp, g=0, b = 0x8000, bshft = 15;
  do {
    if (val >= (temp = (((g << 1) + b)<>= 1);
  return g;
}


/** @internal
 **
 ** Update inter cluster distance table.
 **/

static void
vl_ikm_elkan_update_inter_dist (VlIKMFilt *f)
{
  int
    i, k, kp,
    K = f-> K,
    M = f-> M ;
  vl_ikm_acc dist, delta ;

  /* inter cluster distances */
  for(k = 0 ; k < K ; ++ k) {
    for(kp = 0 ; kp < K ; ++ kp) {
      dist = 0 ;
      if (k != kp) {
        for(i = 0 ; i < M ; ++i) {
          delta  = f->centers [kp*M + i] - f->centers [k*M + i] ;
          dist  += delta * delta ;
        }
      }
      f->inter_dist [k*K + kp] = f->inter_dist [kp*K + k] = dist >> 2 ;
    }
  }
}

/** @internal
 ** @brief Helper function to initialize filter for Triangle algorithm
 ** @param f filter.
 **/

static void
vl_ikm_init_elkan (VlIKMFilt *f)
{
  if (f-> inter_dist) {
    vl_free (f->  inter_dist) ;
  }
  f-> inter_dist = vl_malloc (sizeof(vl_ikm_acc) * f->K*f->K) ;
  vl_ikm_elkan_update_inter_dist (f) ;
}


/** @internal
 ** @brief Elkan algorithm
 ** @param f     IKM quantizer.
 ** @param data  Data to quantize.
 ** @param N     Number of data elements.
 **/

static int
vl_ikm_train_elkan (VlIKMFilt* f, vl_uint8 const* data, int N)
{
  /* REMARK !! All distances are squared !! */
  int i,pass,c,cp,x,cx ;
  int dist_calc = 0 ;
  int
    K = f-> K,
    M = f-> M ;

  vl_ikm_acc  dist ;
  vl_ikm_acc *m_pt = vl_malloc(sizeof(vl_ikm_acc)* M*K) ; /* new centers (temp)    */
  vl_ikm_acc *u_pt = vl_malloc(sizeof(vl_ikm_acc)*   N) ; /* upper bound (may str) */
  char       *r_pt = vl_malloc(sizeof(char)      * 1*N) ; /* flag: u is strict     */
  vl_ikm_acc *s_pt = vl_malloc(sizeof(vl_ikm_acc)*   K) ; /* min cluster dist.     */
  vl_ikm_acc *l_pt = vl_malloc(sizeof(vl_ikm_acc)* N*K) ; /* lower bound           */
  vl_ikm_acc *d_pt = f-> inter_dist ;                     /* half inter clst dist  */
  vl_uint    *asgn = vl_malloc (sizeof(vl_uint) * N) ;
  vl_uint    *counts=vl_malloc (sizeof(vl_uint) * N) ;

  int done = 0 ;

  /* do passes */
  vl_ikm_elkan_update_inter_dist (f) ;

  /* init */
  memset(l_pt, 0, sizeof(vl_ikm_acc) * N*K ) ;
  memset(u_pt, 0, sizeof(vl_ikm_acc) * N   ) ;
  memset(r_pt, 0, sizeof(char)  * N   ) ;
  for(x = 0 ; x < N ; ++x) {
    vl_ikm_acc best_dist ;

    /* do first cluster `by hand' */
    dist_calc ++ ;
    for(dist = 0, i = 0 ; i < M ; ++i) {
      vl_ikm_acc delta = data[x*M + i] - f->centers[i] ;
      dist += delta*delta ;
    }
    cx        = 0 ;
    best_dist = dist ;
    l_pt[x]   = dist ;

    /* do other clusters */
    for(c = 1 ; c < K ; ++c) {
      if(d_pt[K*cx+c] < best_dist) {
        /* might need to be updated */

        dist_calc++ ;
        for(dist=0, i = 0 ; i < M ; ++i) {
          vl_ikm_acc delta = data[x*M + i] - f->centers[c*M + i] ;
          dist += delta*delta ;
        }

        /* lower bound */
        l_pt[N*c + x] = dist ;

        if(dist < best_dist) {
          best_dist = dist ;
          cx        = c ;
        }
      }
    }

    asgn[x] = cx ;
    u_pt[x] = best_dist ;
  }

  /* --------------------------------------------------------------------
   *                                                               Passes
   * ------------------------------------------------------------------ */

  for (pass = 0 ; 1 ; ++ pass) {

    /* ------------------------------------------------------------------
     *                                                 Re-calculate means
     * ---------------------------------------------------------------- */
    memset(m_pt,    0, sizeof(vl_ikm_acc) * M * K) ;
    memset(counts,  0, sizeof(vl_ikm_acc)     * K) ;

    /* accumulate */
    for(x = 0 ; x < N ; ++x) {
      int cx = asgn[x] ;
      ++ counts[ cx ] ;
      for(i = 0 ; i < M ; ++i) {
        m_pt[cx*M + i] += data[x*M + i] ;
      }
    }

    /* normalize */
    for(c = 0 ; c < K ; ++c) {
      vl_ikm_acc n = counts[c] ;
      if(n > 0) {
        for(i = 0 ; i < M ; ++i) {
          m_pt[c*M + i] /= n ;
        }
      } else {
        for(i = 0 ; i < M ; ++i) {
          /*m_pt[c*M + i] = data[pairs_pt[c].j*M + i] ;*/
        }
      }
    }

    /* ------------------------------------------------------------------
     *                                                      Update bounds
     * --------------------------------------------------------------- */
    for(c = 0 ; c < K ; ++c) {

      /* distance d(m(c),c) and update c */
      dist_calc++ ;
      for(dist = 0, i = 0 ; i < M ; ++i) {
        vl_ikm_acc delta = m_pt[c*M + i] - f->centers[c*M + i] ;
        f->centers[c*M + i] = m_pt[c*M +i] ;
        dist += delta*delta ;
      }
      for(x = 0 ; x < N ; ++x) {
        vl_ikm_acc lxc = l_pt[c*N + x] ;
        int cx  = (int) asgn[x] ;

        /* lower bound */
        if(dist < lxc) {
          lxc = (vl_ikm_acc) (lxc + dist - 2*(isqrt(lxc)+1)*(isqrt(dist)+1)) ;
        } else {
          lxc = 0 ;
        }
        l_pt[c*N + x]  = lxc ;

        /* upper bound */
        if(c == cx) {
          vl_ikm_acc ux = u_pt[x] ;
          u_pt[x] = (vl_ikm_acc) (ux + dist + 2 * (isqrt(ux)+1)*(isqrt(dist)+1)) ;
          r_pt[x] = 1 ;
        }
      }
    }

    /* inter cluster distances */
    for(c = 0 ; c < K ; ++c) {
      for(cp = 0 ; cp < K ; ++cp) {
        dist = 0 ;
        if( c != cp ) {
          dist_calc++;
          for(i = 0 ; i < M ; ++i) {
            vl_ikm_acc delta = f->centers[ cp*M + i ] - f->centers[ c*M + i ] ;
            dist += delta*delta ;
          }
        }
        d_pt[c*K+cp] = d_pt[cp*K+c] = dist>>2 ;
      }
    }

    /* closest cluster distance */
    for(c = 0  ; c < K ; ++c) {
      vl_ikm_acc best_dist = VL_BIG_INT ;
      for(cp = 0 ; cp < K ; ++cp) {
        dist = d_pt[c*K+cp] ;
        if(c != cp && dist < best_dist) best_dist = dist ;
      }
      s_pt[c] = best_dist >> 2 ;
    }


    /* ------------------------------------------------------------------
     * Assign data to centers
     * ---------------------------------------------------------------- */
    done = 1 ;
    for(x=0 ; x < N ; ++x) {
      int cx = (int) asgn[x] ;
      vl_ikm_acc ux = u_pt[x] ;

      /* ux is an upper bound of the distance of x to its
         current center cx. s_pt[cx] is half of the minum distance
         between the cluster cx and any other cluster center.  If
         ux <= s_pt[cx] then x remains attached to cx. */

      if(ux <= s_pt[cx])  continue ;

      for(c = 0 ; c < K ; ++c) {
        vl_ikm_acc dist = 0 ;
        /* so x might need to be re-associated from cx to c. We can
           exclude c if

           1 - cx = c (trivial) or
           2 - u(x) <= l(x,c)    as this implies d(x,cx) <= d(x,c) or
           3 - u(x) <= d(cx,c)/2 as this implies d(x,cx) <= d(x,c).
        */
        if(c  == cx               ||
           ux <= l_pt[N*c +  x]   ||
           ux <= d_pt[K*c + cx] )
          continue ;

        /* we need to make a true comparison */

        /* if u_pt[x] is stale (i.e. not strictly equal to
           d(x,cx)), then re-calcualte it. */
        if( r_pt[x] ) {
          dist_calc++;
          for(dist = 0, i = 0 ; i < M ; ++i) {
            vl_ikm_acc delta = data[ x*M + i ] - f->centers[ cx*M + i ] ;
            dist += delta*delta ;
          }
          ux = u_pt[x] = dist ;
          r_pt[x] = 0 ;

          /* now that u_pt[x] is updated, we check the conditions
             again */
          if(
             ux <= l_pt[N*c +  x]  ||
             ux <= d_pt[K*c + cx]  )
            continue ;
        }

        /* no way... we need to compute the distance d(x,c) */
        dist_calc++ ;
        for(dist = 0, i = 0 ; i < M ; ++i) {
          vl_ikm_acc delta = data[ x*M + i ] - f->centers[ c*M + i ] ;
          dist += delta*delta ;
        }

        l_pt[N*c + x] =  dist ;

        if( dist < ux ) {
          ux = u_pt[x] = dist ;
          /* r_pt[x] already 0 */
          asgn[x] = c ;
          done = 0 ;
        }
      }
    } /* next data point */

      /* stopping condition */
    if(done || pass == f->max_niters) {
      break ;
    }
  }

  vl_free (counts) ;
  vl_free (asgn) ;
  vl_free (l_pt) ;
  vl_free (s_pt) ;
  vl_free (r_pt) ;
  vl_free (u_pt) ;
  vl_free (m_pt) ;

  if (f-> verb) {
    VL_PRINTF ("ikm: Elkan algorithm: total iterations: %d\n", pass) ;
    VL_PRINTF ("ikm: Elkan algorithm: distance calculations: %d (speedup: %.2f)\n",
               dist_calc, (float)N*K*(pass+2) / dist_calc -1) ;
  }
  return 0 ;
}

/** @internal
 ** @brief Elkan algorithm
 ** @param f    IKM quantizer.
 ** @param asgn Assignment of data to centers (out).
 ** @param data Data to quantize.
 ** @param N    Number of data elements.
 **/

static void
vl_ikm_push_elkan (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N)
{
  vl_uint i,c,cx,x,
    dist_calc = 0,
    K = f-> K,
    M = f-> M ;
  vl_ikm_acc dist, best_dist ;
  vl_ikm_acc *d_pt = f-> inter_dist ;

  /* assign data to centers */
  for(x=0 ; x < (vl_uint)N ; ++x) {
    best_dist = VL_BIG_INT ;
    cx = 0 ;

    for(c = 0 ; c < K ; ++c) {
      if(d_pt[K*cx+c] < best_dist) {
        /* might need to be updated */
        dist_calc ++ ;
        for(dist=0, i = 0 ; i < M ; ++i) {
          vl_ikm_acc delta = data[x*M + i] - f->centers[c*M + i] ;
          dist += delta*delta ;
        }

        /* u_pt is strict at the beginning */
        if(dist < best_dist) {
          best_dist = dist ;
          cx        = c ;
        }
      }
    }
    asgn [x] = cx ;
  }
}

/*
 * Local Variables: *
 * mode: C *
 * End: *
 */
vlfeat-0.9.16/vl/ikmeans_init.tc000066400000000000000000000072201203326130700165110ustar00rootroot00000000000000/** @file ikmeans_init.tc
 ** @brief Integer K-Means - Initialization - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "random.h"

/* pairs are used to generate random permutations of data */
typedef struct
{
  vl_int32 w;
  vl_int32 j;
} pair_t;

static int cmp_pair (void const *a, void const *b)
{
  pair_t *pa = (pair_t *) a;
  pair_t *pb = (pair_t *) b;
  vl_int32 d = pa->w - pb->w ;
  if (d) return d ;
  /* break ties (qsort not stable) */
  return pa->j - pb->j;
}

VL_INLINE vl_uint32 calc_dist2 (vl_int32 const* A, vl_uint8 const* B, int M)
{
  vl_uint32 acc = 0;
  int i = 0 ;
  for (i = 0 ; i < M ; ++i) {
    vl_int32 dist = A [i] - B [i] ;
    acc += dist * dist ;
  }
  return acc ;
}

/** @internal
 ** @brief Helper function to allocate memory for an IKM quantizer
 ** @param f quantizer.
 ** @param M data dimensionality.
 ** @param K number of clusters.
 **/

static void alloc (VlIKMFilt *f, int M, int K)
{
  if (f-> centers) vl_free (f-> centers) ;
  f-> K = K ;
  f-> M = M ;
  f-> centers = vl_malloc (sizeof(vl_ikm_acc) * M * K) ;
}


/** @brief Helper function to initialize the quantizer
 ** @param f IKM quantizer.
 **/

static
void vl_ikm_init_helper (VlIKMFilt *f)
{
  switch (f-> method) {
  case VL_IKM_LLOYD:  vl_ikm_init_lloyd (f) ; break ;
  case VL_IKM_ELKAN:  vl_ikm_init_elkan (f) ; break ;
  }
}

/** @brief Initialize quantizer with centers
 ** @param f       IKM quantizer.
 ** @param centers centers.
 ** @param M       data dimensionality.
 ** @param K       number of clusters.
 **/

VL_EXPORT
void
vl_ikm_init (VlIKMFilt* f, vl_ikm_acc const * centers, int M, int K)
{
  alloc (f, M, K) ;

  memcpy (f-> centers, centers, sizeof(vl_ikm_acc) * M * K) ;

  vl_ikm_init_helper (f) ;
}

/** @brief Initialize quantizer with random centers
 ** @param f IKM quantizer.
 ** @param M data dimensionality.
 ** @param K number of clusters.
 **/

VL_EXPORT
void
vl_ikm_init_rand
(VlIKMFilt* f, int M, int K)
{
  int k, i ;
  VlRand * rand = vl_get_rand() ;

  alloc (f, M, K) ;

  for (k = 0 ; k < K ; ++ k) {
    for (i = 0 ; i < M ; ++ i) {
      f-> centers [k * M + i] = (vl_ikm_acc) (vl_rand_uint32 (rand)) ;
    }
  }

  vl_ikm_init_helper (f) ;
}

/** @brief Initialize with centers from random data
 ** @param f IKM quantizer.
 ** @param data data.
 ** @param M data dimensionality.
 ** @param N number of data.
 ** @param K number of clusters.
 **/

VL_EXPORT
void
vl_ikm_init_rand_data
(VlIKMFilt* f, vl_uint8 const* data, int M, int N, int K)
{
  int i, j, k ;
  VlRand * rand = vl_get_rand () ;
  pair_t  *pairs = (pair_t *) vl_malloc (sizeof(pair_t) * N);

  alloc (f, M, K) ;

  /* permute the data randomly */
  for (j = 0 ; j < N ; ++j) {
    pairs[j].j = j ;
    pairs[j].w = ((vl_int32) vl_rand_uint32 (rand)) >> 2 ;
  }

  qsort (pairs, N, sizeof(pair_t), cmp_pair);

  /* initialize centers from random data points */
  for (j = 0, k = 0 ; k < K ; ++ k) {

    /* search for the next candidate which is not a dup */
    for ( ; j < N - 1 ; ++j) {
      int prevk = 0 ;
      for (prevk = 0 ; prevk < k ; ++ prevk) {
        vl_uint32 dist = calc_dist2
          (f-> centers + prevk * M,
           data + (vl_uint64)pairs[j].j * M, M) ;
        if (dist == 0)  break ;
      }
      if (prevk == k) break ;
    }

    for (i = 0 ; i < M ; ++ i) {
      f-> centers [k * M + i] = data [(vl_uint64)pairs[j].j * M + i] ;
    }

    if (j < N - 1) ++ j ;
  }

  vl_free (pairs) ;
  vl_ikm_init_helper (f) ;
}

/*
 * Local Variables: *
 * mode: C *
 * End: *
 */
vlfeat-0.9.16/vl/ikmeans_lloyd.tc000066400000000000000000000065071203326130700167000ustar00rootroot00000000000000/** @file ikmeans_lloyd.tc
 ** @brief Integer K-Means - LLoyd Algorithm - Definition
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @internal
 ** @brief Helper function to initialize a filter for Lloyd algorithm
 **
 ** @param f filter.
 **/

static void
vl_ikm_init_lloyd (VlIKMFilt * f VL_UNUSED)
{ }

/** @internal
 ** @brief LLoyd algorithm
 ** @param f     IKM quantizer.
 ** @param data  Training data.
 ** @param N     Number of traning data.
 **/

static int
vl_ikm_train_lloyd (VlIKMFilt* f, vl_uint8 const* data, int N)
{
  int iter, i, j, k,
    K = f-> K,
    M = f-> M,
    err =  0 ;
  vl_ikm_acc *centers = f->centers ;
  vl_uint    *asgn    = vl_malloc (sizeof(vl_uint) * N) ;
  vl_uint    *counts  = vl_malloc (sizeof(vl_uint) * N) ;

  for (iter = 0 ; 1 ; ++ iter) {
    vl_bool done = 1 ;

    /* ---------------------------------------------------------------
     *                                               Calc. assignments
     * ------------------------------------------------------------ */

    for (j = 0 ; j < N ; ++j) {
      vl_ikm_acc best_dist = 0 ;
      vl_uint    best = (vl_uint)-1 ;

      for (k = 0; k < K; ++k) {
        vl_ikm_acc dist = 0;

        /* compute distance with this center */
        for (i = 0; i < M; ++i) {
          vl_ikm_acc delta =
            data [j * M + i] - centers [k * M + i] ;
          dist += delta * delta ;
        }

        /* compare with current best */
        if (best == (vl_uint) -1 || dist < best_dist) {
          best = k ;
          best_dist = dist ;
        }
      }
      if (asgn [j] != best) {
        asgn [j] = best ;
        done = 0 ;
      }
    }

    /* stopping condition */
    if (done || iter == f->max_niters) break ;

    /* -----------------------------------------------------------------
     *                                                     Calc. centers
     * -------------------------------------------------------------- */

    /* re-compute centers */
    memset (centers, 0, sizeof (vl_int32) * M * K);
    memset (counts,  0, sizeof (vl_int32) * K);
    for (j = 0; j < N; ++j) {
      int this_center = asgn [j] ;
      ++ counts [this_center] ;
      for (i = 0; i < M; ++i)
        centers [this_center * M + i] += data[j * M + i];
    }

    for (k = 0; k < K; ++k) {
      vl_int32 n = counts [k];
      if (n > 0xffffff) {
        err = 1 ;
      }
      if (n > 0) {
        for (i = 0; i < M; ++i)
          centers [k * M + i] /= n;
      } else {
        /*
           If no data are assigned to the center, it is not changed
           with respect to the previous iteration, so we do not do anything.
        */
      }
    }
  }

  vl_free (counts) ;
  vl_free (asgn) ;
  return err ;
}


/** @internal
 ** @brief LLoyd algorithm
 ** @param f     IKM quantizer.
 ** @param asgn  Assignments (out).
 ** @param data  Data to quantize.
 ** @param N     Number of data.
 **/

static void
vl_ikm_push_lloyd (VlIKMFilt *f, vl_uint *asgn, vl_uint8 const *data, int N)
{
  int j ;
  for(j=0 ; j < N ; ++j) {
    asgn[j] = vl_ikm_push_one (f->centers, data + j * f->M, f->M, f->K);
  }
}

/*
 * Local Variables: *
 * mode: C *
 * End: *
 */
vlfeat-0.9.16/vl/imopv.c000066400000000000000000001046341203326130700150140ustar00rootroot00000000000000/** @file imopv.c
 ** @brief Vectorized image operations - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file imopv.h
 **
 ** This module provides the following image operations:
 **
 ** - Separable convolution. The function ::vl_imconvcol_vf()
 **   can be used to compute separable convolutions.
 **
 ** - Convolution by a triangular kernel. The function
 **   vl_imconvcoltri_vf() is an optimized convolution routine for
 **   triangular kernels.
 **
 ** - Distance transform. ::vl_image_distance_transform_f() is
 **   a linear algorithm to compute the distance transform of an
 **   image.
 **
 ** @remark  Some operations are optimized to exploit possible SIMD
 ** instructions. This requires image data to be properly aligned (typically
 ** to 16 bytes). Similalry, the image stride (the number of bytes to skip to move
 ** to the next image row), must be aligned.
  **/

#ifndef VL_IMOPV_INSTANTIATING

#include "imopv.h"
#include "imopv_sse2.h"
#include "mathop.h"

#define FLT VL_TYPE_FLOAT
#define VL_IMOPV_INSTANTIATING
#include "imopv.c"

#define FLT VL_TYPE_DOUBLE
#define VL_IMOPV_INSTANTIATING
#include "imopv.c"

#define FLT VL_TYPE_UINT32
#define VL_IMOPV_INSTANTIATING
#include "imopv.c"

#define FLT VL_TYPE_INT32
#define VL_IMOPV_INSTANTIATING
#include "imopv.c"

/* VL_IMOPV_INSTANTIATING */
#endif

#if defined(VL_IMOPV_INSTANTIATING) || defined(__DOXYGEN__)

#include "float.th"

/* ---------------------------------------------------------------- */
/*                                                Image Convolution */
/* ---------------------------------------------------------------- */

#if (FLT == VL_TYPE_FLOAT || FLT == VL_TYPE_DOUBLE)

/** @fn  vl_imconvcol_vd(double*,int,double const*,int,int,int,double const*,int,int,int,unsigned int)
 ** @brief Convolve image along columns
 **
 ** @param dst destination image.
 ** @param dst_stride width of the destination image including padding.
 ** @param src source image.
 ** @param src_width width of the source image.
 ** @param src_height height of the source image.
 ** @param src_stride width of the source image including padding.
 ** @param filt filter kernel.
 ** @param filt_begin coordinate of the first filter element.
 ** @param filt_end coordinate of the last filter element.
 ** @param step sub-sampling step.
 ** @param flags operation modes.
 **
 ** The function convolves the column of the image @a src by the
 ** filter @a filt and saves the result to the image @a dst. The size
 ** of @a dst must be equal to the size of @a src.  Formally, this
 ** results in the calculation
 **
 ** @f[
 ** \mathrm{dst} [x,y] = \sum_{p=y-\mathrm{filt\_end}}^{y-\mathrm{filt\_begin}}
 ** \mathrm{src}[x,y] \mathrm{filt}[y - p - \mathrm{filt\_begin}]
 ** @f]
 **
 ** The function subsamples the image along the columns according to
 ** the parameter @a step. Setting @a step to 1 (one) computes the
 ** elements @f$\mathrm{dst}[x,y]@f$ for all pairs (x,0), (x,1), (x,2)
 ** and so on. Setting @a step two 2 (two) computes only (x,0), (x,2)
 ** and so on (in this case the height of the destination image is
 ** floor(src_height/step)+1).
 **
 ** Calling twice the function can be used to compute 2-D separable
 ** convolutions.  Use the flag ::VL_TRANSPOSE to transpose the result
 ** (in this case @a dst has transposed dimension as well).
 **
 ** The function allows the support of the filter to be any range.
 ** Usually the support is @a filt_end = -@a filt_begin.
 **
 ** The convolution operation may pick up values outside the image
 ** boundary. To cope with this edge cases, the function either pads
 ** the image by zero (::VL_PAD_BY_ZERO) or with the values at the
 ** boundary (::VL_PAD_BY_CONTINUITY).
 **/

/** @fn vl_imconvcol_vf(float*,int,float const*,int,int,int,float const*,int,int,int,unsigned int)
 ** @see ::vl_imconvcol_vf()
 **/

VL_EXPORT void
VL_XCAT(vl_imconvcol_v, SFX)
(T* dst, vl_size dst_stride,
 T const* src,
 vl_size src_width, vl_size src_height, vl_size src_stride,
 T const* filt, vl_index filt_begin, vl_index filt_end,
 int step, unsigned int flags)
{
  vl_index x = 0 ;
  vl_index y ;
  vl_index dheight = (src_height - 1) / step + 1 ;
  vl_bool transp = flags & VL_TRANSPOSE ;
  vl_bool zeropad = (flags & VL_PAD_MASK) == VL_PAD_BY_ZERO ;

  /* dispatch to accelerated version */
#ifndef VL_DISABLE_SSE2
  if (vl_cpu_has_sse2() && vl_get_simd_enabled()) {
    VL_XCAT3(_vl_imconvcol_v,SFX,_sse2)
    (dst,dst_stride,
     src,src_width,src_height,src_stride,
     filt,filt_begin,filt_end,
     step,flags) ;
    return ;
  }
#endif

  /* let filt point to the last sample of the filter */
  filt += filt_end - filt_begin ;

  while (x < (signed)src_width) {
    /* Calculate dest[x,y] = sum_p image[x,p] filt[y - p]
     * where supp(filt) = [filt_begin, filt_end] = [fb,fe].
     *
     * CHUNK_A: y - fe <= p < 0
     *          completes VL_MAX(fe - y, 0) samples
     * CHUNK_B: VL_MAX(y - fe, 0) <= p < VL_MIN(y - fb, height - 1)
     *          completes fe - VL_MAX(fb, height - y) + 1 samples
     * CHUNK_C: completes all samples
     */
    T const *filti ;
    vl_index stop ;

    for (y = 0 ; y < (signed)src_height ; y += step) {
      T acc = 0 ;
      T v = 0, c ;
      T const* srci ;

      filti = filt ;
      stop = filt_end - y ;
      srci = src + x - stop * src_stride ;

      if (stop > 0) {
        if (zeropad) {
          v = 0 ;
        } else {
          v = *(src + x) ;
        }
        while (filti > filt - stop) {
          c = *filti-- ;
          acc += v * c ;
          srci += src_stride ;
        }
      }

      stop = filt_end - VL_MAX(filt_begin, y - (signed)src_height + 1) + 1 ;
      while (filti > filt - stop) {
        v = *srci ;
        c = *filti-- ;
        acc += v * c ;
        srci += src_stride ;
      }

      if (zeropad) v = 0 ;

      stop = filt_end - filt_begin + 1 ;
      while (filti > filt - stop) {
        c = *filti-- ;
        acc += v * c ;
      }

      if (transp) {
        *dst = acc ; dst += 1 ;
      } else {
        *dst = acc ; dst += dst_stride ;
      }
    } /* next y */
    if (transp) {
      dst += 1 * dst_stride - dheight * 1 ;
    } else {
      dst += 1 * 1 - dheight * dst_stride ;
    }
    x += 1 ;
  } /* next x */
}

/* VL_TYPE_FLOAT, VL_TYPE_DOUBLE */
#endif

/* ---------------------------------------------------------------- */
/*                                         Image distance transform */
/* ---------------------------------------------------------------- */

#if (FLT == VL_TYPE_FLOAT || FLT == VL_TYPE_DOUBLE)

/** @fn ::vl_image_distance_transform_d(double const*,vl_size,vl_size,vl_size,vl_size,double*,vl_uindex*,double,double)
 ** @brief Compute the distance transform of an image
 ** @param image image.
 ** @param numColumns number of columns of the image.
 ** @param numRows number of rows of the image.
 ** @param columnStride offset from one column to the next.
 ** @param rowStride offset from one row to the next.
 ** @param distanceTransform distance transform (out).
 ** @param indexes nearest neighbor indexes (in/out).
 ** @param coeff quadratic cost coefficient (non-negative).
 ** @param offset quadratic cost offset.
 **
 ** The function computes the distance transform along the first
 ** dimension of the image @a image. Let @f$ I(u,v) @f$ be @a image.
 ** Its distance transfrom @f$ D(u,v) @f$ is given by:
 **
 ** @f[
 **   u^*(u,v) = \min_{u'} I(u',v) + \mathtt{coeff} (u' - u - \mathtt{offset})^2,
 **   \quad D(u,v) = I(u^*(u,v),v).
 ** @f]
 **
 ** Notice that @a coeff must be non negative.
 **
 ** The function fills in the buffer @a distanceTransform with @f$ D
 ** @f$.  This buffer must have the same size as @a image.
 **
 ** If @a indexes is not @c NULL, it must be a matrix of the same size
 ** o the image. The function interprets the value of this matrix as
 ** indexes of the pixels, i.e @f$ \mathtt{indexes}(u,v) @f$ is the
 ** index of pixel @f$ (u,v) @f$. On output, the matrix @a indexes
 ** contains @f$ \mathtt{indexes}(u^*(u,v),v) @f$. This information
 ** can be used to determine for each pixel @f$ (u,v) @f$ its
 ** “nearest neighbor&rdquo.
 **
 ** Notice that by swapping @a numRows and @a numColumns and @a
 ** columnStride and @a rowStride, the function can be made to operate
 ** along the other image dimension. Specifically, to compute the
 ** distance transform along columns and rows, call the functinon
 ** twice:
 ***
 ** @code
 **   for (i = 0 ; i < numColumns * numRows ; ++i) indexes[i] = i ;
 **   vl_image_distance_transform_d(image,numColumns,numRows,1,numColumns,
 **                                 distanceTransform,indexes,u_coeff,u_offset) ;
 **   vl_image_distance_transform_d(distanceTransform,numRows,numColumns,numColumns,1,
 **                                 distanceTransform,indexes,u_coeff,u_offset) ;
 ** @endcode
 **
 ** @par Algorithm
 **
 ** The function implements the algorithm described in:
 ** P. F. Felzenszwalb and D. P. Huttenlocher, Distance Transforms
 ** of Sampled Functions, Technical Report, Cornell University,
 ** 2004.
 **
 ** Since the algorithm operates along one dimension per time,
 ** consider the 1D version of the problem for simplicity:
 **
 ** @f[
 **  d(y) = \min_{x} g(y;x), \quad g(y;x) = f(x) + \alpha (y - x - \beta)^2,
 **  \quad x,y \in \{0,1,\dots,N-1\}.
 ** @f]
 **
 ** Hence the distance transform @f$ d(y) @f$ is the lower envelope of
 ** the family of parabolas @f$ g(y;x) @f$ indexed by @f$ x
 ** @f$. Notice that all parabolas have the same curvature and that
 ** their centers are located at @f$ x + \beta, @f$ @f$ x=0,\dots,N-1
 ** @f$. The algorithm considers one parabola per time, from left to
 ** right, and finds the interval for which the parabola belongs to
 ** the lower envelope (if any).
 **
 ** Initially, only the leftmost parabola @f$ g(y;0) @f$ has been
 ** considered, and its validity interval is @f$(-\infty, \infty) @f$.
 ** Then the second parabola @f$ g(y;1) @f$ is considered. As long as
 ** @f$ \alpha > 0 @f$, the two parabolas @f$ g(y;0),\ g(y;1) @f$
 ** intersect at a unique point @f$ \bar y @f$. Then the first
 ** parabola belongs to the envelope in the interval @f$ (-\infty,
 ** \bar y] @f$ and the second one in the interval @f$ (\bar y,
 ** +\infty] @f$. When the third parabola @f$ g(y;2) @f$ is
 ** considered, the intersection point @f$ \hat y @f$ with the
 ** previously added parabola @f$ g(y;1) @f$ is found. Now two cases
 ** may arise:
 **
 ** - @f$ \hat y > \bar y @f$, in which case all three parabolas
 **   belong to the envelope in the intervals @f$ (-\infty,\bar y],
 **   (\bar y, \hat y], (\hat y, +\infty] @f$.
 **
 ** - @f$ \hat y \leq \bar y @f$, in which case the second parabola
 **   @f$ g(y;1) @f$ has no point beloning to the envelope, and it is
 **   removed.  One then remains with the two parabolas @f$ g(y;0),\
 **   g(y;2) @f$ and the algorithm is re-iterated.
 **
 ** The algorithm proceeds in this fashion. Every time a new parabola
 ** is considered, its intersection point with the previously added
 ** parabola on the left is computed, and that parabola is potentially
 ** removed.  The cost of an iteration is 1 plus the number of deleted
 ** parabolas. Since there are @f$ N @f$ iterations and at most @f$ N
 ** @f$ parabolas to delete overall, the complexity is linear,
 ** i.e. @f$ O(N) @f$.
 **/

/** @fn ::vl_image_distance_transform_f(float const*,vl_size,vl_size,vl_size,vl_size,float*,vl_uindex*,float,float)
 ** @see ::vl_image_distance_transform_d
 **/

VL_EXPORT void
VL_XCAT(vl_image_distance_transform_,SFX)
(T const * image,
 vl_size numColumns,
 vl_size numRows,
 vl_size columnStride,
 vl_size rowStride,
 T * distanceTransform,
 vl_uindex * indexes,
 T coeff,
 T offset)
{
  /* Each image pixel corresponds to a parabola. The algorithm scans
   such parabolas from left to right, keeping track of which
   parabolas belong to the lower envelope and in which interval. There are
   NUM active parabolas, FROM stores the beginning of the interval
   for which a certain parabola is part of the envoelope, and WHICH store
   the index of the parabola (that is, the pixel x from which the parabola
   originated).
   */
  vl_uindex x, y ;
  T * from = vl_malloc (sizeof(T) * (numColumns + 1)) ;
  T * base = vl_malloc (sizeof(T) * numColumns) ;
  vl_uindex * baseIndexes = vl_malloc (sizeof(vl_uindex) * numColumns) ;
  vl_uindex * which = vl_malloc (sizeof(vl_uindex) * numColumns) ;
  vl_uindex num = 0 ;

  for (y = 0 ; y < numRows ; ++y) {
    num = 0 ;
    for (x = 0 ; x < numColumns ; ++x) {
      T r = image[x  * columnStride + y * rowStride] ;
      T x2 = x * x ;
#if (FLT == VL_TYPE_FLOAT)
      T from_ = - VL_INFINITY_F ;
#else
      T from_ = - VL_INFINITY_D ;
#endif

      /*
       Add next parabola (there are NUM so far). The algorithm finds
       intersection INTERS with the previously added parabola. If
       the intersection is on the right of the "starting point" of
       this parabola, then the previous parabola is kept, and the
       new one is added to its right. Otherwise the new parabola
       "eats" the old one, which gets deleted and the check is
       repeated with the parabola added before the deleted one.
       */

      while (num >= 1) {
        vl_uindex x_ = which[num - 1] ;
        T x2_ = x_ * x_ ;
        T r_ = image[x_ * columnStride + y * rowStride] ;
        T inters ;
        if (r == r_) {
          /* handles the case r = r_ = \pm inf */
          inters = (x + x_) / 2.0 + offset ;
        }
#if (FLT == VL_TYPE_FLOAT)
        else if (coeff > VL_EPSILON_F)
#else
        else if (coeff > VL_EPSILON_D)
#endif
        {
          inters = ((r - r_) + coeff * (x2 - x2_)) / (x - x_) / (2*coeff) + offset ;
        } else {
          /* If coeff is very small, the parabolas are flat (= lines).
           In this case the previous parabola should be deleted if the current
           pixel has lower score */
#if (FLT == VL_TYPE_FLOAT)
          inters = (r < r_) ? - VL_INFINITY_F : VL_INFINITY_F ;
#else
          inters = (r < r_) ? - VL_INFINITY_D : VL_INFINITY_D ;
#endif
        }
        if (inters <= from [num - 1]) {
          /* delete a previous parabola */
          -- num ;
        } else {
          /* accept intersection */
          from_ = inters ;
          break ;
        }
      }

      /* add a new parabola */
      which[num] = x ;
      from[num] = from_ ;
      base[num] = r ;
      if (indexes) baseIndexes[num] = indexes[x  * columnStride + y * rowStride] ;
      num ++ ;
    } /* next column */

#if (FLT == VL_TYPE_FLOAT)
    from[num] = VL_INFINITY_F ;
#else
    from[num] = VL_INFINITY_D ;
#endif

    /* fill in */
    num = 0 ;
    for (x = 0 ; x < numColumns ; ++x) {
      double delta ;
      while (x >= from[num + 1]) ++ num ;
      delta = (double) x - (double) which[num] - offset ;
      distanceTransform[x  * columnStride + y * rowStride]
      = base[num] + coeff * delta * delta ;
      if (indexes) {
        indexes[x  * columnStride + y * rowStride]
        = baseIndexes[num] ;
      }
    }
  } /* next row */

  vl_free (from) ;
  vl_free (which) ;
  vl_free (base) ;
  vl_free (baseIndexes) ;
}

/* VL_TYPE_FLOAT, VL_TYPE_DOUBLE */
#endif

/* ---------------------------------------------------------------- */
/*                         Image convolution by a triangular kernel */
/* ---------------------------------------------------------------- */

#if (FLT == VL_TYPE_FLOAT || FLT == VL_TYPE_DOUBLE)

/** @fn vl_imconvcoltri_d(double*,vl_size,double const*,vl_size,vl_size,vl_size,vl_size,vl_size,int unsigned)
 ** @brief Convolve an image along the columns with a triangular kernel
 ** @param dest destination image.
 ** @param destStride destination image stride.
 ** @param image image to convolve.
 ** @param imageWidth width of the image.
 ** @param imageHeight height of the image.
 ** @param imageStride width of the image including padding.
 ** @param filterSize size of the triangular filter.
 ** @param step sub-sampling step.
 ** @param flags operation modes.
 **
 ** The function convolves the columns of the image @a image with the
 ** triangular kernel
 **
 ** @f[
 **   k(t) = \frac{1}{\Delta^2} \max\{ \Delta -  |t|, 0 \},
 **   \quad t \in \mathbb{Z}
 ** @f]
 **
 ** The paramter @f$ \Delta @f$, equal to the function argument @a
 ** filterSize, controls the width of the kernel. Notice that the
 ** support of @f$ k(x) @f$ as a continuous function of @f$ x @f$ is
 ** the open interval @f$ (-\Delta,\Delta) @f$, which has length @f$
 ** 2\Delta @f$.  However, @f$ k(x) @f$ restricted to the ingeter
 ** domain @f$ x \in \mathcal{Z} @f$ has support @f$ \{ -\Delta + 1,
 ** \Delta +2, \dots, \Delta-1 \} @f$, which counts @f$ 2 \Delta - 1
 ** @f$ elements only. In particular, the discrete kernel is symmetric
 ** about the origin for all values of @f$ \Delta @f$.
 **
 ** The normalization factor @f$ 1 / \Delta^2 @f$ guaratnees that the
 ** filter is normalized to one, i.e.:
 **
 ** @f[
 **   \sum_{t=-\infty}^{+\infty} k(t) = 1
 ** @f]
 **
 ** @par Algorithm
 **
 ** The function exploits the fact that convolution by a triangular
 ** kernel can be expressed as the repeated convolution by a
 ** rectangular kernel, and that the latter can be performed in time
 ** indepenedent on the fiter width by using an integral-image type
 ** trick. Overall, the algorithm complexity is independent on the
 ** parameter @a filterSize and linear in the nubmer of image pixels.
 **
 ** @see ::vl_imconvcol_vd for details on the meaning of the other parameters.
 **/

/** @fn vl_imconvcoltri_f(float*,vl_size,float const*,vl_size,vl_size,vl_size,vl_size,vl_size,int unsigned)
 ** @brief Convolve an image along the columns with a triangular kernel
 ** @see ::vl_imconvcoltri_d()
 **/

VL_EXPORT void
VL_XCAT(vl_imconvcoltri_, SFX)
(T * dest, vl_size destStride,
 T const * image,
 vl_size imageWidth, vl_size imageHeight, vl_size imageStride,
 vl_size filterSize,
 vl_size step, unsigned int flags)
{
  vl_index x, y, dheight ;
  vl_bool transp = flags & VL_TRANSPOSE ;
  vl_bool zeropad = (flags & VL_PAD_MASK) == VL_PAD_BY_ZERO ;
  T scale = (T) (1.0 / ((double)filterSize * (double)filterSize)) ;
  T * buffer = vl_malloc (sizeof(T) * (imageHeight + filterSize)) ;
  buffer += filterSize ;

  if (imageHeight == 0) {
    return  ;
  }

  x = 0 ;
  dheight = (imageHeight - 1) / step + 1 ;

  while (x < (signed)imageWidth) {
    T const * imagei ;
    imagei = image + x + imageStride * (imageHeight - 1) ;

    /* We decompose the convolution by a triangluar signal as the convolution
     * by two rectangular signals. The rectangular convolutions are computed
     * quickly by computing the integral signals. Each rectangular convolution
     * introduces a delay, which is compensated by convolving each in opposite
     * directions.
     */

    /* integrate backward the column */
    buffer[imageHeight - 1] = *imagei ;
    for (y = (signed)imageHeight - 2 ; y >=  0 ; --y) {
      imagei -= imageStride ;
      buffer[y] = buffer[y + 1] + *imagei ;
    }
    if (zeropad) {
      for ( ; y >= - (signed)filterSize ; --y) {
        buffer[y] = buffer[y + 1] ;
      }
    } else {
      for ( ; y >= - (signed)filterSize ; --y) {
        buffer[y] = buffer[y + 1] + *imagei ;
      }
    }

    /* compute the filter forward */
    for (y = - (signed)filterSize ;
         y < (signed)imageHeight - (signed)filterSize ; ++y) {
      buffer[y] = buffer[y] - buffer[y + filterSize] ;
    }
    if (! zeropad) {
      for (y = (signed)imageHeight - (signed)filterSize ;
           y < (signed)imageHeight ;
           ++y) {
        buffer[y] = buffer[y] - buffer[imageHeight - 1]  *
        ((signed)imageHeight - (signed)filterSize - y) ;
      }
    }

    /* integrate forward the column */
    for (y = - (signed)filterSize + 1 ;
         y < (signed)imageHeight ; ++y) {
      buffer[y] += buffer[y - 1] ;
    }

    /* compute the filter backward */
    {
      vl_size stride = transp ? 1 : destStride ;
      dest += dheight * stride ;
      for (y = step * (dheight - 1) ; y >= 0 ; y -= step) {
        dest -= stride ;
        *dest = scale * (buffer[y] - buffer[y - (signed)filterSize]) ;
      }
      dest += transp ? destStride : 1 ;
    }
    x += 1 ;
  } /* next x */
  vl_free (buffer - filterSize) ;
}

/* VL_TYPE_FLOAT, VL_TYPE_DOUBLE */
#endif

/* ---------------------------------------------------------------- */
/*                                               Gaussian Smoothing */
/* ---------------------------------------------------------------- */

#if (FLT == VL_TYPE_FLOAT || FLT == VL_TYPE_DOUBLE)

/** @fn vl_imsmooth_d(double*,vl_size,double const*,vl_size,vl_size,vl_size,double,double)
 ** @brief Smooth an image with a Gaussian filter
 ** @param smoothed
 ** @param smoothedStride
 ** @param image
 ** @param width
 ** @param height
 ** @param stride
 ** @param sigmax
 ** @param sigmay
 **/

/** @fn vl_imsmooth_f(float*,vl_size,float const*,vl_size,vl_size,vl_size,double,double)
 ** @brief Smooth an image with a Gaussian filter
 ** @see ::vl_imsmooth_d
 **/

static T*
VL_XCAT(_vl_new_gaussian_fitler_,SFX)(vl_size *size, double sigma)
{
  T* filter ;
  T mass = (T)1.0 ;
  vl_index i ;
  vl_size width = vl_ceil_d(sigma * 3.0) ;
  *size = 2 * width + 1 ;

  assert(size) ;

  filter = vl_malloc((*size) * sizeof(T)) ;
  filter[width] = 1.0 ;
  for (i = 1 ; i <= (signed)width ; ++i) {
    double x = (double)i / sigma ;
    double g = exp(-0.5 * x * x) ;
    mass += g + g ;
    filter[width-i] = g ;
    filter[width+i] = g ;
  }
  for (i = 0 ; i < (signed)(*size) ; ++i) {filter[i] /= mass ;}
  return filter ;
}

VL_EXPORT void
VL_XCAT(vl_imsmooth_, SFX)
(T * smoothed, vl_size smoothedStride,
 T const *image, vl_size width, vl_size height, vl_size stride,
 double sigmax, double sigmay)
{
  T *filterx, *filtery, *buffer ;
  vl_size sizex, sizey ;

  filterx = VL_XCAT(_vl_new_gaussian_fitler_,SFX)(&sizex,sigmax) ;
  if (sigmax == sigmay) {
    filtery = filterx ;
    sizey = sizex ;
  } else {
    filtery = VL_XCAT(_vl_new_gaussian_fitler_,SFX)(&sizey,sigmay) ;
  }
  buffer = vl_malloc(width*height*sizeof(T)) ;

  VL_XCAT(vl_imconvcol_v,SFX) (buffer, height,
                               image, width, height, stride,
                               filtery,
                               -((signed)sizey-1)/2, ((signed)sizey-1)/2,
                               1, VL_PAD_BY_CONTINUITY | VL_TRANSPOSE) ;

  VL_XCAT(vl_imconvcol_v,SFX) (smoothed, smoothedStride,
                               buffer, height, width, height,
                               filterx,
                               -((signed)sizex-1)/2, ((signed)sizex-1)/2,
                               1, VL_PAD_BY_CONTINUITY | VL_TRANSPOSE) ;

  vl_free(buffer) ;
  vl_free(filterx) ;
  if (sigmax != sigmay) {
    vl_free(filtery) ;
  }
}

/* VL_TYPE_FLOAT, VL_TYPE_DOUBLE */
#endif

/* ---------------------------------------------------------------- */
/*                                                   Image Gradient */
/* ---------------------------------------------------------------- */

#if (FLT == VL_TYPE_FLOAT || FLT == VL_TYPE_DOUBLE)

/** @fn vl_imgradient_d(double*,double*,vl_size,vl_size,double*,vl_size,vl_size,vl_size)
 ** @brief Compute image gradient
 ** @param xGradient Pointer to amplitude gradient plane
 ** @param yGradient Pointer to angle gradient plane
 ** @param gradWidthStride Width of the gradient plane including padding
 ** @param gradHeightStride Height of the gradient plane including padding
 ** @param image Pointer to the source image
 ** @param imageWidth Source image width
 ** @param imageHeight Source image height
 ** @param imageStride Width of the image including padding.
 **
 ** This functions computes the amplitudes and angles of input image gradient.
 **
 ** Gradient is computed simple by gradient kernel \f$ (-1 ~ 1) \f$,
 ** \f$ (-1 ~ 1)^T \f$ for border pixels and with sobel filter kernel
 ** \f$ (-0.5 ~ 0 ~ 0.5) \f$, \f$ (-0.5 ~ 0 ~ 0.5)^T \f$ otherwise on the input
 ** image @a image yielding x-gradient \f$ dx \f$, stored in @a xGradient and
 ** y-gradient \f$ dy \f$, stored in @a yGradient, respectively.
 **
 ** This function also allows to process only part of the input image
 ** defining the @a imageStride as original image width and @a width as
 ** width of the sub-image.
 **
 ** Also it allows to easily align the output data by definition
 ** of the @a gradWidthStride and @a gradHeightStride .
 **/

/** @fn vl_imgradient_f(float*,float*,vl_size,vl_size,float*,vl_size,vl_size,vl_size)
 ** @brief Compute image gradient
 ** @see ::vl_imgradient_d
 **/

VL_EXPORT void
VL_XCAT(vl_imgradient_, SFX)
(T * xGradient, T * yGradient,
 vl_size gradWidthStride, vl_size gradHeightStride,
 T const * image,
 vl_size imageWidth, vl_size imageHeight,
 vl_size imageStride)
{
  /* Shortcuts */
  vl_index const xo = 1 ;
  vl_index const yo = imageStride ;
  vl_size const w = imageWidth;
  vl_size const h = imageHeight;

  T const *src, *end ;
  T *pgrad_x, *pgrad_y;
  vl_size y;

  src  = image ;
  pgrad_x = xGradient ;
  pgrad_y = yGradient ;

  /* first pixel of the first row */
  *pgrad_x = src[+xo] - src[0] ;
  pgrad_x += gradWidthStride;
  *pgrad_y = src[+yo] - src[0] ;
  pgrad_y += gradWidthStride;
  src++;

  /* middle pixels of the  first row */
  end = (src - 1) + w - 1 ;
  while (src < end) {
    *pgrad_x = 0.5 * (src[+xo] - src[-xo]) ;
    pgrad_x += gradWidthStride;
    *pgrad_y =        src[+yo] - src[0] ;
    pgrad_y += gradWidthStride;
    src++;
  }

  /* last pixel of the first row */
  *pgrad_x = src[0]   - src[-xo] ;
  pgrad_x += gradWidthStride;
  *pgrad_y = src[+yo] - src[0] ;
  pgrad_y += gradWidthStride;
  src++;

  xGradient += gradHeightStride;
  pgrad_x = xGradient;
  yGradient += gradHeightStride;
  pgrad_y = yGradient;
  image += yo;
  src = image;

  for (y = 1 ; y < h -1 ; ++y) {

    /* first pixel of the middle rows */
    *pgrad_x =        src[+xo] - src[0] ;
    pgrad_x += gradWidthStride;
    *pgrad_y = 0.5 * (src[+yo] - src[-yo]) ;
    pgrad_y += gradWidthStride;
    src++;

    /* middle pixels of the middle rows */
    end = (src - 1) + w - 1 ;
    while (src < end) {
      *pgrad_x = 0.5 * (src[+xo] - src[-xo]) ;
      pgrad_x += gradWidthStride;
      *pgrad_y = 0.5 * (src[+yo] - src[-yo]) ;
      pgrad_y += gradWidthStride;
      src++;
    }

    /* last pixel of the middle row */
    *pgrad_x =        src[0]   - src[-xo] ;
    pgrad_x += gradWidthStride;
    *pgrad_y = 0.5 * (src[+yo] - src[-yo]) ;
    pgrad_y += gradWidthStride;
    src++;

    xGradient += gradHeightStride;
    pgrad_x = xGradient;
    yGradient += gradHeightStride;
    pgrad_y = yGradient;
    image += yo;
    src = image;
  }

  /* first pixel of the last row */
  *pgrad_x = src[+xo] - src[0] ;
  pgrad_x += gradWidthStride;
  *pgrad_y = src[  0] - src[-yo] ;
  pgrad_y += gradWidthStride;
  src++;

  /* middle pixels of the last row */
  end = (src - 1) + w - 1 ;
  while (src < end) {
    *pgrad_x = 0.5 * (src[+xo] - src[-xo]) ;
    pgrad_x += gradWidthStride;
    *pgrad_y =        src[0]   - src[-yo] ;
    pgrad_y += gradWidthStride;
    src++;
  }

  /* last pixel of the last row */
  *pgrad_x = src[0]   - src[-xo] ;
  *pgrad_y = src[0]   - src[-yo] ;
}
/* VL_TYPE_FLOAT, VL_TYPE_DOUBLE */
#endif


/** @fn vl_imgradient_polar_d(double*,double*,vl_size,vl_size,double const*,vl_size,vl_size,vl_size)
 ** @brief Compute gradient amplitudes and directions of an image.
 ** @param amplitudeGradient Pointer to amplitude gradient plane
 ** @param angleGradient Pointer to angle gradient plane
 ** @param gradWidthStride Width of the gradient plane including padding
 ** @param gradHeightStride Height of the gradient plane including padding
 ** @param src Pointer to the source image
 ** @param imageWidth Source image width
 ** @param imageHeight Source image height
 ** @param imageStride Width of the source image including padding.
 **
 ** This functions computes the amplitudes and angles of input image gradient.
 **
 ** Gradient is computed simple by gradient kernel \f$ (-1 ~ 1) \f$,
 ** \f$ (-1 ~ 1)^T \f$ for border pixels and with sobel filter kernel
 ** \f$ (-0.5 ~ 0 ~ 0.5) \f$, \f$ (-0.5 ~ 0 ~ 0.5)^T \f$ otherwise on the input
 ** image @a image yielding x-gradient \f$ dx \f$, stored in @a xGradient and
 ** y-gradient \f$ dy \f$, stored in @a yGradient, respectively.
 **
 ** The amplitude of the gradient, stored in plane @a amplitudeGradient,
 ** is then calculated as \f$ \sqrt(dx^2+dy^2) \f$  and the angle
 ** of the gradient, stored in @a angleGradient is \f$ atan(\frac{dy}{dx}) \f$
 ** normalised into interval 0 and @f$ 2\pi @f$.
 **
 ** This function also allows to process only part of the input image
 ** defining the @a imageStride as original image width and @a width as
 ** width of the sub-image.
 **
 ** Also it allows to easily align the output data by definition
 ** of the @a gradWidthStride and @a gradHeightStride .
 **/

/** @fn vl_imgradient_polar_f(float*,float*,vl_size,vl_size,float const*,vl_size,vl_size,vl_size)
 ** @brief Compute gradient amplitudes and directions of an image.
 ** @see ::vl_imgradient_polar_f
 **/

#if (FLT == VL_TYPE_FLOAT || FLT == VL_TYPE_DOUBLE)

VL_EXPORT void
VL_XCAT(vl_imgradient_polar_, SFX)
(T * gradientModulus, T * gradientAngle,
 vl_size gradientHorizontalStride, vl_size gradHeightStride,
 T const* image,
 vl_size imageWidth, vl_size imageHeight, vl_size imageStride)
{
  /* Shortcuts */
  vl_index const xo = 1 ;
  vl_index const yo = imageStride ;
  vl_size const w = imageWidth;
  vl_size const h = imageHeight;

  T const *src, *end;
  T *pgrad_angl, *pgrad_ampl;
  T gx, gy ;
  vl_size y;

#define SAVE_BACK                                                    \
*pgrad_ampl = vl_fast_sqrt_f (gx*gx + gy*gy) ;                       \
pgrad_ampl += gradientHorizontalStride ;                             \
*pgrad_angl = vl_mod_2pi_f   (vl_fast_atan2_f (gy, gx) + 2*VL_PI) ;  \
pgrad_angl += gradientHorizontalStride ;                             \
++src ;                                                              \

  src  = image ;
  pgrad_angl = gradientAngle ;
  pgrad_ampl = gradientModulus ;

  /* first pixel of the first row */
  gx = src[+xo] - src[0] ;
  gy = src[+yo] - src[0] ;
  SAVE_BACK ;

  /* middle pixels of the  first row */
  end = (src - 1) + w - 1 ;
  while (src < end) {
    gx = 0.5 * (src[+xo] - src[-xo]) ;
    gy =        src[+yo] - src[0] ;
    SAVE_BACK ;
  }

  /* last pixel of the first row */
  gx = src[0]   - src[-xo] ;
  gy = src[+yo] - src[0] ;
  SAVE_BACK ;

  gradientModulus += gradHeightStride;
  pgrad_ampl = gradientModulus;
  gradientAngle += gradHeightStride;
  pgrad_angl = gradientAngle;
  image += imageStride;
  src = image;

  for (y = 1 ; y < h -1 ; ++y) {

    /* first pixel of the middle rows */
    gx =        src[+xo] - src[0] ;
    gy = 0.5 * (src[+yo] - src[-yo]) ;
    SAVE_BACK ;

    /* middle pixels of the middle rows */
    end = (src - 1) + w - 1 ;
    while (src < end) {
      gx = 0.5 * (src[+xo] - src[-xo]) ;
      gy = 0.5 * (src[+yo] - src[-yo]) ;
      SAVE_BACK ;
    }

    /* last pixel of the middle row */
    gx =        src[0]   - src[-xo] ;
    gy = 0.5 * (src[+yo] - src[-yo]) ;
    SAVE_BACK ;

    gradientModulus += gradHeightStride;
    pgrad_ampl = gradientModulus;
    gradientAngle += gradHeightStride;
    pgrad_angl = gradientAngle;
    image += imageStride;
    src = image;
  }

  /* first pixel of the last row */
  gx = src[+xo] - src[0] ;
  gy = src[  0] - src[-yo] ;
  SAVE_BACK ;

  /* middle pixels of the last row */
  end = (src - 1) + w - 1 ;
  while (src < end) {
    gx = 0.5 * (src[+xo] - src[-xo]) ;
    gy =        src[0]   - src[-yo] ;
    SAVE_BACK ;
  }

  /* last pixel of the last row */
  gx = src[0]   - src[-xo] ;
  gy = src[0]   - src[-yo] ;
  SAVE_BACK ;

}
/* VL_TYPE_FLOAT, VL_TYPE_DOUBLE */
#endif

/* ---------------------------------------------------------------- */
/*                                                   Integral Image */
/* ---------------------------------------------------------------- */

/** @fn vl_imintegral_d(double*,vl_size,double const*,vl_size,vl_size,vl_size)
 ** @brief Compute integral image
 **
 ** @param integral integral image.
 ** @param integralStride integral image stride.
 ** @param image source image.
 ** @param imageWidth source image width.
 ** @param imageHeight source image height.
 ** @param imageStride source image stride.
 **
 ** Let @f$ I(x,y), (x,y) \in [0, W-1] \times [0, H-1] @f$. The
 ** function computes the integral image @f$ J(x,y) @f$ of @f$ I(x,g)
 ** @f$:
 **
 ** @f[
 **   J(x,y) = \sum_{x'=0}^{x} \sum_{y'=0}^{y} I(x',y')
 ** @f]
 **
 ** The integral image @f$ J(x,y) @f$ can be used to compute quickly
 ** the integral of of @f$ I(x,y) @f$ in a rectangular region @f$ R =
 ** [x',x'']\times[y',y''] @f$:
 **
 ** @f[
 **  \sum_{(x,y)\in[x',x'']\times[y',y'']} I(x,y) =
 **  (J(x'',y'') - J(x'-1, y'')) - (J(x'',y'-1) - J(x'-1,y'-1)).
 ** @f]
 **
 ** Note that the order of operations is important when the integral image
 ** has an unsigned data type (e.g. ::vl_uint32). The formula
 ** is easily derived as follows:
 **
 ** @f{eqnarray*}
 **   \sum_{(x,y)\in R} I(x,y)
 **   &=& \sum_{x=x'}^{x''} \sum_{y=y'}^{y''} I(x,y)\\
 **   &=& \sum_{x=0}^{x''}  \sum_{y=y'}^{y''} I(x,y)
 **     - \sum_{x=0}^{x'-1} \sum_{y=y'}^{y''} I(x,y)\\
 **   &=& \sum_{x=0}^{x''}  \sum_{y=0}^{y''}  I(x,y)
 **     - \sum_{x=0}^{x''}  \sum_{y=0}^{y'-1} I(x,y)
 **     - \sum_{x=0}^{x'-1} \sum_{y=0}^{y''}  I(x,y)
 **     + \sum_{x=0}^{x'-1} \sum_{y=0}^{y'-1} I(x,y)\\
 **   &=& J(x'',y'') - J(x'-1,y'') - J(x'',y'-1) + J(x'-1,y'-1).
 ** @f}
 **/

/** @fn vl_imintegral_f(float*,vl_size,float const*,vl_size,vl_size,vl_size)
 ** @brief Compute integral image
 ** @see ::vl_imintegral_d.
 **/

/** @fn vl_imintegral_ui32(vl_uint32*,vl_size,vl_uint32 const*,vl_size,vl_size,vl_size)
 ** @brief Compute integral image
 ** @see ::vl_imintegral_d.
 **/

/** @fn vl_imintegral_i32(vl_int32*,vl_size,vl_int32 const*,vl_size,vl_size,vl_size)
 ** @brief Compute integral image
 ** @see ::vl_imintegral_d.
 **/

VL_EXPORT void
VL_XCAT(vl_imintegral_, SFX)
(T * integral, vl_size integralStride,
 T const * image,
 vl_size imageWidth, vl_size imageHeight, vl_size imageStride)
{
  vl_uindex x, y ;
  T temp  = 0 ;

  if (imageHeight > 0) {
    for (x = 0 ; x < imageWidth ; ++ x) {
      temp += *image++ ;
      *integral++ = temp ;
    }
  }

  for (y = 1 ; y < imageHeight ; ++ y) {
    T * integralPrev ;
    integral += integralStride - imageWidth ;
    image += imageStride - imageWidth ;
    integralPrev = integral - integralStride ;

    temp = 0 ;
    for (x = 0 ; x < imageWidth ; ++ x) {
      temp += *image++ ;
      *integral++ = *integralPrev++ + temp ;
    }
  }
}

/* endif VL_IMOPV_INSTANTIATING */
#undef FLT
#undef VL_IMOPV_INSTANTIATING
#endif
vlfeat-0.9.16/vl/imopv.h000066400000000000000000000136731203326130700150230ustar00rootroot00000000000000/** @file imopv.h
 ** @brief Vectorized image operations
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_IMOPV_H
#define VL_IMPOV_H

#include "generic.h"

/** @name Image convolution flags
 ** @{ */
#define VL_PAD_BY_ZERO       (0x0 << 0) /**< @brief Pad with zeroes. */
#define VL_PAD_BY_CONTINUITY (0x1 << 0) /**< @brief Pad by continuity. */
#define VL_PAD_MASK          (0x3)      /**< @brief Padding field selector. */
#define VL_TRANSPOSE         (0x1 << 2) /**< @brief Transpose result. */
/** @} */

/** @name Image convolution
 ** @{ */
VL_EXPORT
void vl_imconvcol_vf (float* dst, vl_size dst_stride,
                      float const* src,
                      vl_size src_width, vl_size src_height, vl_size src_stride,
                      float const* filt, vl_index filt_begin, vl_index filt_end,
                      int step, unsigned int flags) ;

VL_EXPORT
void vl_imconvcol_vd (double* dst, vl_size dst_stride,
                      double const* src,
                      vl_size src_width, vl_size src_height, vl_size src_stride,
                      double const* filt, vl_index filt_begin, vl_index filt_end,
                      int step, unsigned int flags) ;

VL_EXPORT
void vl_imconvcoltri_f (float * dest, vl_size destStride,
                        float const * image,
                        vl_size imageWidth, vl_size imageHeight, vl_size imageStride,
                        vl_size filterSize,
                        vl_size step, int unsigned flags) ;

VL_EXPORT
void vl_imconvcoltri_d (double * dest, vl_size destStride,
                        double const * image,
                        vl_size imageWidth, vl_size imageHeight, vl_size imageStride,
                        vl_size filterSize,
                        vl_size step, int unsigned flags) ;
/** @} */

/** @name Integral image
 ** @{ */
VL_EXPORT
void vl_imintegral_f (float * integral,  vl_size integralStride,
                      float const * image,
                      vl_size imageWidth, vl_size imageHeight, vl_size imageStride) ;

VL_EXPORT
void vl_imintegral_d (double * integral,  vl_size integralStride,
                      double const * image,
                      vl_size imageWidth, vl_size imageHeight, vl_size imageStride) ;

VL_EXPORT
void vl_imintegral_i32 (vl_int32 * integral,  vl_size integralStride,
                        vl_int32 const * image,
                        vl_size imageWidth, vl_size imageHeight, vl_size imageStride) ;

VL_EXPORT
void vl_imintegral_ui32 (vl_uint32 * integral,  vl_size integralStride,
                         vl_uint32 const * image,
                         vl_size imageWidth, vl_size imageHeight, vl_size imageStride) ;
/** @} */

/** @name Distance transform */
/** @{ */

VL_EXPORT void
vl_image_distance_transform_d (double const * image,
                               vl_size numColumns,
                               vl_size numRows,
                               vl_size columnStride,
                               vl_size rowStride,
                               double * distanceTransform,
                               vl_uindex * indexes,
                               double coeff,
                               double offset) ;

VL_EXPORT void
vl_image_distance_transform_f (float const * image,
                               vl_size numColumns,
                               vl_size numRows,
                               vl_size columnStride,
                               vl_size rowStride,
                               float * distanceTransform,
                               vl_uindex * indexes,
                               float coeff,
                               float offset) ;

/** @} */

/* ---------------------------------------------------------------- */
/** @name Image smoothing */
/** @{ */

VL_EXPORT void
vl_imsmooth_f (float *smoothed, vl_size smoothedStride,
               float const *image, vl_size width, vl_size height, vl_size stride,
               double sigmax, double sigmay) ;

VL_EXPORT void
vl_imsmooth_d (double *smoothed, vl_size smoothedStride,
               double const *image, vl_size width, vl_size height, vl_size stride,
               double sigmax, double sigmay) ;

/** @} */

/* ---------------------------------------------------------------- */
/** @name Image gradients */
/** @{ */
VL_EXPORT void
vl_imgradient_polar_f (float* amplitudeGradient, float* angleGradient,
                       vl_size gradWidthStride, vl_size gradHeightStride,
                       float const* image,
                       vl_size imageWidth, vl_size imageHeight,
                       vl_size imageStride);

VL_EXPORT void
vl_imgradient_polar_d (double* amplitudeGradient, double* angleGradient,
                       vl_size gradWidthStride, vl_size gradHeightStride,
                       double const* image,
                       vl_size imageWidth, vl_size imageHeight,
                       vl_size imageStride);

VL_EXPORT void
vl_imgradient_f (float* xGradient, float* yGradient,
                 vl_size gradWidthStride, vl_size gradHeightStride,
                 float const *image,
                 vl_size imageWidth, vl_size imageHeight, vl_size imageStride);

VL_EXPORT void
vl_imgradient_d(double* xGradient, double* yGradient,
                vl_size gradWidthStride, vl_size gradHeightStride,
                double const *image,
                vl_size imageWidth, vl_size imageHeight, vl_size imageStride);

VL_EXPORT void
vl_imgradient_polar_f_callback(float const *sourceImage,
                               int sourceImageWidth, int sourceImageHeight,
                               float *dstImage,
                               int dstWidth, int dstHeight,
                               int octave, int level,
                               void *params);

/** @} */

/* VL_IMOPV_H */
#endif
vlfeat-0.9.16/vl/imopv_sse2.c000066400000000000000000000170331203326130700157440ustar00rootroot00000000000000/** @file imopv_sse2.c
 ** @brief Vectorized image operations - SSE2 - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#if ! defined(VL_DISABLE_SSE2) & ! defined(__SSE2__)
#error "Compiling with SSE2 enabled, but no __SSE2__ defined"
#endif

#if ! defined(VL_DISABLE_SSE2)

#ifndef VL_IMOPV_SSE2_INSTANTIATING

#include 
#include "imopv.h"
#include "imopv_sse2.h"

#define FLT VL_TYPE_FLOAT
#define VL_IMOPV_SSE2_INSTANTIATING
#include "imopv_sse2.c"

#define FLT VL_TYPE_DOUBLE
#define VL_IMOPV_SSE2_INSTANTIATING
#include "imopv_sse2.c"

/* ---------------------------------------------------------------- */
/* VL_IMOPV_SSE2_INSTANTIATING */
#else

#include "float.th"

/* ---------------------------------------------------------------- */
void
VL_XCAT3(_vl_imconvcol_v, SFX, _sse2)
(T* dst, vl_size dst_stride,
 T const* src,
 vl_size src_width, vl_size src_height, vl_size src_stride,
 T const* filt, vl_index filt_begin, vl_index filt_end,
 int step, unsigned int flags)
{
  vl_index x = 0 ;
  vl_index y ;
  vl_index dheight = (src_height - 1) / step + 1 ;
  vl_bool use_simd  = VALIGNED(src_stride) ;
  vl_bool transp    = flags & VL_TRANSPOSE ;
  vl_bool zeropad   = (flags & VL_PAD_MASK) == VL_PAD_BY_ZERO ;
  double totcol = 0 ;
  double simdcol = 0 ;

  /* let filt point to the last sample of the filter */
  filt += filt_end - filt_begin ;

  while (x < (signed)src_width) {
    /* Calculate dest[x,y] = sum_p image[x,p] filt[y - p]
     * where supp(filt) = [filt_begin, filt_end] = [fb,fe].
     *
     * CHUNK_A: y - fe <= p < 0
     *          completes VL_MAX(fe - y, 0) samples
     * CHUNK_B: VL_MAX(y - fe, 0) <= p < VL_MIN(y - fb, height - 1)
     *          completes fe - VL_MAX(fb, height - y) + 1 samples
     * CHUNK_C: completes all samples
     */

    T const *filti ;
    vl_index stop ;

    if ((x + VSIZE < (signed)src_width) &
        VALIGNED(src + x) & use_simd)
    {
      /* ----------------------------------------------  Vectorized */
      for (y = 0 ; y < (signed)src_height ; y += step)  {
        union {VTYPE v ; T x [VSIZE] ; } acc ;
        VTYPE v, c ;
        T const *srci ;
        acc.v = VSTZ () ;
        v = VSTZ() ;

        filti = filt ;
        stop = filt_end - y ;
        srci = src + x - stop * src_stride ;

        if (stop > 0) {
          if (zeropad) {
            v = VSTZ () ;
          } else {
            v = * (VTYPE*) (src + x) ;
          }
          while (filti > filt - stop) {
            c = VLD1 (filti--) ;
            acc.v = VADD (acc.v,  VMUL (v, c)) ;
            srci += src_stride ;
          }
        }

        stop = filt_end - VL_MAX(filt_begin, y - (signed)src_height + 1) + 1 ;
        while (filti > filt - stop) {
          v = * (VTYPE*) srci ;
          c = VLD1 (filti--) ;
          acc.v = VADD (acc.v, VMUL (v, c)) ;
          srci += src_stride ;
        }

        if (zeropad) v = VSTZ () ;

        stop = filt_end - filt_begin + 1;
        while (filti > filt - stop) {
          c = VLD1 (filti--) ;
          acc.v = VADD (acc.v, VMUL (v, c)) ;
        }

        if (transp) {
          *dst = acc.x[0] ; dst += dst_stride ;
          *dst = acc.x[1] ; dst += dst_stride ;
#if(VSIZE == 4)
          *dst = acc.x[2] ; dst += dst_stride ;
          *dst = acc.x[3] ; dst += dst_stride ;
#endif
          dst += 1 * 1 - VSIZE * dst_stride ;
        } else {
          *dst = acc.x[0] ; dst += 1 ;
          *dst = acc.x[1] ; dst += 1 ;
#if(VSIZE == 4)
          *dst = acc.x[2] ; dst += 1 ;
          *dst = acc.x[3] ; dst += 1 ;
#endif
          dst += 1 * dst_stride - VSIZE * 1 ;
        }
      } /* next y */
      if (transp) {
        dst += VSIZE * dst_stride - dheight * 1 ;
      } else {
        dst += VSIZE * 1 - dheight * dst_stride ;
      }
      x       += VSIZE ;
      simdcol += VSIZE ;
      totcol  += VSIZE ;
    } else {
      /* -------------------------------------------------  Vanilla */
      for (y = 0 ; y < (signed)src_height ; y += step) {
        T acc = 0 ;
        T v = 0, c ;
        T const* srci ;

        filti = filt ;
        stop = filt_end - y ;
        srci = src + x - stop * src_stride ;

        if (stop > 0) {
          if (zeropad) {
            v = 0 ;
          } else {
            v = *(src + x) ;
          }
          while (filti > filt - stop) {
            c = *filti-- ;
            acc += v * c ;
            srci += src_stride ;
          }
        }

        stop = filt_end - VL_MAX(filt_begin, y - (signed)src_height + 1) + 1 ;
        while (filti > filt - (signed)stop) {
          v = *srci ;
          c = *filti-- ;
          acc += v * c ;
          srci += src_stride ;
        }

        if (zeropad) v = 0 ;

        stop = filt_end - filt_begin + 1 ;
        while (filti > filt - stop) {
          c = *filti-- ;
          acc += v * c ;
        }

        if (transp) {
          *dst = acc ; dst += 1 ;
        } else {
          *dst = acc ; dst += dst_stride ;
        }
      } /* next y */
      if (transp) {
        dst += 1 * dst_stride - dheight * 1 ;
      } else {
        dst += 1 * 1 - dheight * dst_stride ;
      }
      x      += 1 ;
      totcol += 1 ;
    } /* next x */
  }
}

/* ---------------------------------------------------------------- */
#if 0
void
VL_XCAT(_vl_imconvcoltri_v, SFX, sse2)
(T* dst, int dst_stride,
 T const* src,
 int src_width, int src_height, int src_stride,
 int filt_size,
 int step, unsigned int flags)
{
  int x = 0 ;
  int y ;
  int dheight = (src_height - 1) / step + 1 ;
  vl_bool use_simd  = ((src_stride & ALIGNSTRIDE) == 0) &&
  (! (flags & VL_NO_SIMD)) ;
  vl_bool transp = flags & VL_TRANSPOSE ;
  vl_bool zeropad = (flags & VL_PAD_MASK) == VL_PAD_BY_ZERO ;

  T * buff = vl_malloc(sizeof(T) * (src_height + filt_size)) ;
#define fa (1.0 / (double) (filt_size + 1))
  T scale = fa*fa*fa*fa ;
  buff += filt_size ;

  while (x < src_width) {
    T const *srci ;

    use_simd = 0 ;
    if ((x + VSIZE < src_width) &
        (((vl_ptrint)(src + x) & ALIGNPTR) == 0) &
        use_simd)
    {

    } else {
      int stridex = transp ? dst_stride : 1 ;
      int stridey = transp ? 1 : dst_stride ;
      srci = src + x + src_stride * (src_height - 1) ;

      /* integrate backward the column */
      buff [src_height - 1] = *srci ;
      for (y = src_height-2 ; y >=  0 ; --y) {
        srci -= src_stride ;
        buff [y] = buff [y+1] + *srci ;
      }
      if (zeropad) {
        for ( ; y >= - filt_size ; --y) {
          buff [y] = buff [y+1] ;
        }
      } else {
        for ( ; y >= - filt_size ; --y) {
          buff [y] = buff[y+1] + *srci ;
        }
      }

      /* compute the filter forward */
      for (y = - filt_size ; y < src_height - filt_size ; ++y) {
        buff [y] = buff [y] - buff [y + filt_size] ;
      }
      if (! zeropad) {
        for (y = src_height - filt_size ; y < src_height ; ++y) {
          buff [y] = buff [y] - buff [src_height-1]  *
          (src_height - filt_size - y) ;
        }
      }

      /* integrate forward the column */
      for (y = - filt_size + 1 ; y < src_height ; ++y) {
        buff [y] += buff [y - 1] ;
      }

      /* compute the filter backward */
      for (y = src_height - 1 ; y >= 0 ; --y) {
        dst [x*stridex + y*stridey]
        = scale * (buff [y] - buff [y - filt_size]) ;
      }
    } /* next y */
    x += 1 ;
  }
  vl_free (buff - filt_size) ;
}
#endif

#undef FLT
#undef VL_IMOPV_SSE2_INSTANTIATING
#endif

/* ! VL_DISABLE_SSE2 */
#endif
vlfeat-0.9.16/vl/imopv_sse2.h000066400000000000000000000033501203326130700157460ustar00rootroot00000000000000/** @file imopv_sse2.h
 ** @brief Vectorized image operations - SSE2
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_IMOPV_SSE2_H
#define VL_IMOPV_SSE2_H

#include "generic.h"

#ifndef VL_DISABLE_SSE2

VL_EXPORT
void _vl_imconvcol_vf_sse2 (float* dst, vl_size dst_stride,
                            float const* src,
                            vl_size src_width, vl_size src_height, vl_size src_stride,
                            float const* filt, vl_index filt_begin, vl_index filt_end,
                            int step, unsigned int flags) ;

VL_EXPORT
void _vl_imconvcol_vd_sse2 (double* dst, vl_size dst_stride,
                            double const* src,
                            vl_size src_width, vl_size src_height, vl_size src_stride,
                            double const* filt, vl_index filt_begin, vl_index filt_end,
                            int step, unsigned int flags) ;

/*
VL_EXPORT
void _vl_imconvcoltri_vf_sse2 (float* dst, int dst_stride,
                               float const* src,
                               int src_width, int src_height, int src_stride,
                               int filt_size,
                               int step, unsigned int flags) ;

VL_EXPORT
void _vl_imconvcoltri_vd_sse2 (double* dst, int dst_stride,
                               double const* src,
                               int src_width, int src_height, int src_stride,
                               int filt_size,
                               int step, unsigned int flags) ;
*/

#endif

/* VL_IMOPV_SSE2_H */
#endif
vlfeat-0.9.16/vl/kdtree.c000066400000000000000000000555361203326130700151460ustar00rootroot00000000000000/** @file kdtree.c
 ** @brief KD-tree - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**


@page kdtree KD-trees and forests
@author Andrea Vedaldi


@ref kdtree.h implements a KD-tree object, a data structure that can
efficiently index moderately dimensional vector spaces. Both
best-bin-first @cite{beis97shape} and randomized KD-tree forests are
implemented
@cite{silpa-anan08optimised},@cite{muja09fast}. Applications include
fast matching of feature descriptors.

- @ref kdtree-overview
- @ref kdtree-tech


@section kdtree-overview Overview


To create a ::VlKDForest object use ::vl_kdforest_new specifying the
dimensionality of the data and the number of trees in the forest.
With one tree only, the algorithm is analogous to @cite{beis97shape}
(best-bin KDTree). Multiple trees correspond to the randomized KDTree
forest as in @cite{silpa-anan08optimised},@cite{muja09fast}.

To let the KD-tree index some data use ::vl_kdforest_build. Note that
for efficiency KD-tree does not copy the data but retains a pointer to
it. Therefore the data must exist (and not change) until the KD-tree
is deleted. To delete the KD-tree object, use ::vl_kdforest_delete.

To find the N nearest neighbors to a query point use
::vl_kdforest_query. To set a maximum number of comparisons per query
and calculate approximate nearest neighbors use
::vl_kdforest_set_max_num_comparisons.


@section kdtree-tech Technical details


::VlKDForest implements the best-bin-first kd-tree of @cite{beis97shape}.

Construction. Given a set of points @f$ x_1,\dots,x_n \in
\mathbb{R}^d @f$, the algorithm recursively partitions the @e d
dimensional Euclidean space @f$ \mathbb{R}^d @f$ into (hyper-)
rectangles.

Partitions are organized into a binary tree with the root
corresponding to the whole space @f$ \mathbb{R}^d @f$. The algorithm
refines each partition by dividing it into two halves by thresholding
along a given dimension. Both the splitting dimension and the
threshold are determined as a statistic of the data points contained
in the partition. The splitting dimension is the one which has largest
sample variance and the splitting threshold is either the sample mean
or the median. Leaves are atomic partitions and they contain a list of
zero or more data points (typically one).

Querying. Querying amounts to finding the N data points closer
to a given query point @f$ x_q \in \mathbb{R}^d @f$. This is done by
branch-and-bound. A search state is an active partition (initially the
root) and it is weighed by the lower bound on the distance of any
point in the partition and the query point. Such a lower bound is
trivial to compute because partitions are hyper-rectangles.

**/

#include "kdtree.h"
#include "generic.h"
#include "random.h"
#include "mathop.h"
#include 

#define VL_HEAP_prefix     vl_kdforest_search_heap
#define VL_HEAP_type       VlKDForestSearchState
#define VL_HEAP_cmp(v,x,y) (v[x].distanceLowerBound - v[y].distanceLowerBound)
#include "heap-def.h"

#define VL_HEAP_prefix     vl_kdtree_split_heap
#define VL_HEAP_type       VlKDTreeSplitDimension
#define VL_HEAP_cmp(v,x,y) (v[x].variance - v[y].variance)
#include "heap-def.h"

#define VL_HEAP_prefix     vl_kdforest_neighbor_heap
#define VL_HEAP_type       VlKDForestNeighbor
#define VL_HEAP_cmp(v,x,y) (v[y].distance - v[x].distance)
#include "heap-def.h"

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Allocate a new node from the tree pool
 **/

static vl_uindex
vl_kdtree_node_new (VlKDTree * tree, vl_uindex parentIndex)
{
  VlKDTreeNode * node = NULL ;
  vl_uindex nodeIndex = tree->numUsedNodes ;
  tree -> numUsedNodes += 1 ;

  assert (tree->numUsedNodes <= tree->numAllocatedNodes) ;

  node = tree->nodes + nodeIndex ;
  node -> parent = parentIndex ;
  node -> lowerChild = 0 ;
  node -> upperChild = 0 ;
  node -> splitDimension = 0 ;
  node -> splitThreshold = 0 ;
  return nodeIndex ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Compare KDTree index entries for sorting
 **/

VL_INLINE int
vl_kdtree_compare_index_entries (void const * a,
                                 void const * b)
{
  double delta =
   ((VlKDTreeDataIndexEntry const*)a) -> value -
   ((VlKDTreeDataIndexEntry const*)b) -> value ;
  if (delta < 0) return -1 ;
  if (delta > 0) return +1 ;
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Build KDTree recursively
 ** @param forest forest to which the tree belongs.
 ** @param tree tree being built.
 ** @param nodeIndex node to process.
 ** @param dataBegin begin of data for this node.
 ** @param dataEnd end of data for this node.
 ** @param depth depth of this node.
 **/

static void
vl_kdtree_build_recursively
(VlKDForest * forest,
 VlKDTree * tree, vl_uindex nodeIndex,
 vl_uindex dataBegin, vl_uindex dataEnd,
 unsigned int depth)
{
  vl_uindex d, i, medianIndex, splitIndex ;
  VlKDTreeNode * node = tree->nodes + nodeIndex ;
  VlKDTreeSplitDimension * splitDimension ;

  /* base case: there is only one data point */
  if (dataEnd - dataBegin <= 1) {
    if (tree->depth < depth) tree->depth = depth ;
    node->lowerChild = - dataBegin - 1;
    node->upperChild = - dataEnd - 1 ;
    return ;
  }

  /* compute the dimension with largest variance > 0 */
  forest->splitHeapNumNodes = 0 ;
  for (d = 0 ; d < forest->dimension ; ++ d) {
    double mean = 0 ; /* unnormalized */
    double secondMoment = 0 ;
    double variance = 0 ;
    for (i = dataBegin ; i < dataEnd ; ++ i) {
      vl_index di = tree->dataIndex[i].index ;
      double datum ;
      switch(forest->dataType) {
        case VL_TYPE_FLOAT: datum = ((float const*)forest->data)
          [di * forest->dimension + d] ; break ;
        case VL_TYPE_DOUBLE: datum = ((double const*)forest->data)
          [di * forest->dimension + d] ; break ;
        default:
          abort() ;
      }
      mean += datum ;
      secondMoment += datum * datum ;
    }
    mean /= (dataEnd - dataBegin) ;
    secondMoment /= (dataEnd - dataBegin) ;
    variance = secondMoment - mean * mean ;

    if (variance == 0) continue ;

    /* keep splitHeapSize most varying dimensions */
    if (forest->splitHeapNumNodes < forest->splitHeapSize) {
      VlKDTreeSplitDimension * splitDimension
        = forest->splitHeapArray + forest->splitHeapNumNodes ;
      splitDimension->dimension = (unsigned int)d ;
      splitDimension->mean = mean ;
      splitDimension->variance = variance ;
      vl_kdtree_split_heap_push (forest->splitHeapArray, &forest->splitHeapNumNodes) ;
    } else {
      VlKDTreeSplitDimension * splitDimension = forest->splitHeapArray + 0 ;
      if (splitDimension->variance < variance) {
        splitDimension->dimension = (unsigned int)d ;
        splitDimension->mean = mean ;
        splitDimension->variance = variance ;
        vl_kdtree_split_heap_update (forest->splitHeapArray, forest->splitHeapNumNodes, 0) ;
      }
    }
  }

  /* additional base case: the maximum variance is equal to 0 (overlapping points) */
  if (forest->splitHeapNumNodes == 0) {
    node->lowerChild = - dataBegin - 1 ;
    node->upperChild = - dataEnd - 1 ;
    return ;
  }

  /* toss a dice to decide the splitting dimension (variance > 0) */
  splitDimension = forest->splitHeapArray
  + (vl_rand_uint32(forest->rand) % VL_MIN(forest->splitHeapSize, forest->splitHeapNumNodes)) ;

  node->splitDimension = splitDimension->dimension ;

  /* sort data along largest variance dimension */
  for (i = dataBegin ; i < dataEnd ; ++ i) {
    vl_index di = tree->dataIndex[i].index ;
    double datum ;
    switch (forest->dataType) {
      case VL_TYPE_FLOAT: datum = ((float const*)forest->data)
        [di * forest->dimension + splitDimension->dimension] ;
        break ;
      case VL_TYPE_DOUBLE: datum = ((double const*)forest->data)
        [di * forest->dimension + splitDimension->dimension] ;
        break ;
      default:
        abort() ;
    }
    tree->dataIndex [i] .value = datum ;
  }
  qsort (tree->dataIndex + dataBegin,
         dataEnd - dataBegin,
         sizeof (VlKDTreeDataIndexEntry),
         vl_kdtree_compare_index_entries) ;

  /* determine split threshold */
  switch (forest->thresholdingMethod) {
    case VL_KDTREE_MEAN :
      node->splitThreshold = splitDimension->mean ;
      for (splitIndex = dataBegin ;
           splitIndex < dataEnd && tree->dataIndex[splitIndex].value <= node->splitThreshold ;
           ++ splitIndex) ;
      splitIndex -= 1 ;
      /* If the mean does not provide a proper partition, fall back to
       * median. This usually happens if all points have the same
       * value and the zero variance test fails for numerical accuracy
       * reasons. In this case, also due to numerical accuracy, the
       * mean value can be smaller, equal, or larger than all
       * points. */
      if (dataBegin <= splitIndex && splitIndex + 1 < dataEnd) break ;

    case VL_KDTREE_MEDIAN :
      medianIndex = (dataBegin + dataEnd - 1) / 2 ;
      splitIndex = medianIndex ;
      node -> splitThreshold = tree->dataIndex[medianIndex].value ;
      break ;

    default:
      abort() ;
  }

  /* divide subparts */
  node->lowerChild = vl_kdtree_node_new (tree, nodeIndex) ;
  vl_kdtree_build_recursively (forest, tree, node->lowerChild, dataBegin, splitIndex + 1, depth + 1) ;

  node->upperChild = vl_kdtree_node_new (tree, nodeIndex) ;
  vl_kdtree_build_recursively (forest, tree, node->upperChild, splitIndex + 1, dataEnd, depth + 1) ;
}

/** ------------------------------------------------------------------
 ** @brief Create new KDForest object
 ** @param dataType type of data (::VL_TYPE_FLOAT or VL_TYPE_DOUBLE)
 ** @param dimension data dimensionality.
 ** @param numTrees number of trees in the forest.
 ** @return new KDForest.
 **/

VL_EXPORT VlKDForest *
vl_kdforest_new (vl_type dataType,
                 vl_size dimension, vl_size numTrees)
{
  VlKDForest * self = vl_malloc (sizeof(VlKDForest)) ;

  assert(dataType == VL_TYPE_FLOAT || dataType == VL_TYPE_DOUBLE) ;
  assert(dimension >= 1) ;
  assert(numTrees >= 1) ;

  self -> rand = vl_get_rand () ;
  self -> dataType = dataType ;
  self -> numData = 0 ;
  self -> data = 0 ;
  self -> dimension = dimension ;
  self -> numTrees = numTrees ;
  self -> trees = 0 ;
  self -> thresholdingMethod = VL_KDTREE_MEDIAN ;
  self -> splitHeapSize = VL_MIN(numTrees, VL_KDTREE_SPLIT_HEAP_SIZE) ;
  self -> splitHeapNumNodes = 0 ;

  self -> searchHeapArray = 0 ;
  self -> searchHeapNumNodes = 0 ;

  self -> searchMaxNumComparisons = 0 ;
  self -> searchIdBook = 0 ;
  self -> searchId = 0 ;

  switch (self->dataType) {
    case VL_TYPE_FLOAT:
      self -> distanceFunction = (void(*)(void))
      vl_get_vector_comparison_function_f (VlDistanceL2) ;
      break ;
    case VL_TYPE_DOUBLE :
      self -> distanceFunction = (void(*)(void))
      vl_get_vector_comparison_function_d (VlDistanceL2) ;
      break ;
    default :
      abort() ;
  }

  return self ;
}

/** ------------------------------------------------------------------
 ** @brief Delete KDForest object
 ** @param self KDForest object to delete
 ** @sa ::vl_kdforest_new
 **/

VL_EXPORT void
vl_kdforest_delete (VlKDForest * self)
{
  vl_uindex ti ;
  if (self->searchIdBook) vl_free (self->searchIdBook) ;
  if (self->trees) {
    for (ti = 0 ; ti < self->numTrees ; ++ ti) {
      if (self->trees[ti]) {
        if (self->trees[ti]->nodes) vl_free (self->trees[ti]->nodes) ;
        if (self->trees[ti]->dataIndex) vl_free (self->trees[ti]->dataIndex) ;
        vl_free (self->trees[ti]) ;
      }
    }
    vl_free (self->trees) ;
  }
  if (self->searchHeapArray) vl_free (self->searchHeapArray) ;
  vl_free (self) ;
}

/** ------------------------------------------------------------------
 ** @brief Build KDTree from data
 ** @param self KDTree object
 ** @param numData number of data points.
 ** @param data pointer to the data.
 **
 ** The function builds the KDTree by processing the data @a data. For
 ** efficiency, KDTree does not copy the data, but retains a pointer to it.
 ** Therefore the data must survive (and not change) until the KDTree
 ** is deleted.
 **/

VL_EXPORT void
vl_kdforest_build (VlKDForest * self, vl_size numData, void const * data)
{
  vl_uindex di, ti ;

  /* need to check: if alredy built, clean first */
  self->data = data ;
  self->numData = numData ;
  self->trees = vl_malloc (sizeof(VlKDTree*) * self->numTrees) ;

  for (ti = 0 ; ti < self->numTrees ; ++ ti) {
    self->trees[ti] = vl_malloc (sizeof(VlKDTree)) ;
    self->trees[ti]->dataIndex = vl_malloc (sizeof(VlKDTreeDataIndexEntry) * self->numData) ;
    for (di = 0 ; di < self->numData ; ++ di) {
      self->trees[ti]->dataIndex[di].index = di ;
    }
    self->trees[ti]->numUsedNodes = 0 ;
    /* num. nodes of a complete binary tree with numData leaves */
    self->trees[ti]->numAllocatedNodes = 2 * self->numData - 1 ;
    self->trees[ti]->nodes = vl_malloc (sizeof(VlKDTreeNode) * self->trees[ti]->numAllocatedNodes) ;
    self->trees[ti]->depth = 0 ;
    vl_kdtree_build_recursively (self, self->trees[ti],
                                 vl_kdtree_node_new(self->trees[ti], 0), 0,
                                 self->numData, 0) ;
  }
}

/** ------------------------------------------------------------------
 ** @internal @brief
 **/

VL_EXPORT vl_uindex
vl_kdforest_query_recursively (VlKDForest  * self,
                               VlKDTree * tree,
                               vl_uindex nodeIndex,
                               VlKDForestNeighbor * neighbors,
                               vl_size numNeighbors,
                               vl_size * numAddedNeighbors,
                               double dist,
                               void const * query)
{
  VlKDTreeNode const * node = tree->nodes + nodeIndex ;
  vl_uindex i = node->splitDimension ;
  vl_index nextChild, saveChild ;
  double delta, saveDist ;
  double x ;
  double x1 = node->lowerBound ;
  double x2 = node->splitThreshold ;
  double x3 = node->upperBound ;
  VlKDForestSearchState * searchState ;

  self->searchNumRecursions ++ ;

  switch (self->dataType) {
    case VL_TYPE_FLOAT :
      x = ((float const*) query)[i] ;
      break ;
    case VL_TYPE_DOUBLE :
      x = ((double const*) query)[i] ;
      break ;
    default :
      abort() ;
  }

  /* base case: this is a leaf node */
  if (node->lowerChild < 0) {
    vl_index begin = - node->lowerChild - 1 ;
    vl_index end   = - node->upperChild - 1 ;
    vl_index iter ;

    for (iter = begin ;
         iter < end &&
         (self->searchMaxNumComparisons == 0 ||
          self->searchNumComparisons < self->searchMaxNumComparisons) ;
         ++ iter) {

      vl_index di = tree->dataIndex [iter].index ;

      /* multiple KDTrees share the database points and we must avoid
       * adding the same point twice */
      if (self->searchIdBook[di] == self->searchId) continue ;
      self->searchIdBook[di] = self->searchId ;

      /* compare the query to this point */
      switch (self->dataType) {
        case VL_TYPE_FLOAT:
          dist = ((VlFloatVectorComparisonFunction)self->distanceFunction)
          (self->dimension,
           ((float const *)query),
           ((float const*)self->data) + di * self->dimension) ;
          break ;
        case VL_TYPE_DOUBLE:
          dist = ((VlDoubleVectorComparisonFunction)self->distanceFunction)
          (self->dimension,
           ((double const *)query),
           ((double const*)self->data) + di * self->dimension) ;
          break ;
        default:
          abort() ;
      }
      self->searchNumComparisons += 1 ;

      /* see if it should be added to the result set */
      if (*numAddedNeighbors < numNeighbors) {
        VlKDForestNeighbor * newNeighbor = neighbors + *numAddedNeighbors ;
        newNeighbor->index = di ;
        newNeighbor->distance = dist ;
        vl_kdforest_neighbor_heap_push (neighbors, numAddedNeighbors) ;
      } else {
        VlKDForestNeighbor * largestNeighbor = neighbors + 0 ;
        if (largestNeighbor->distance > dist) {
          largestNeighbor->index = di ;
          largestNeighbor->distance = dist ;
          vl_kdforest_neighbor_heap_update (neighbors, *numAddedNeighbors, 0) ;
        }
      }
    } /* next data point */

    return nodeIndex ;
  }

#if 0
  assert (x1 <= x2 && x2 <= x3) ;
  assert (node->lowerChild >= 0) ;
  assert (node->upperChild >= 0) ;
#endif

  /*
   *   x1  x2 x3
   * x (---|---]
   *   (--x|---]
   *   (---|x--]
   *   (---|---] x
   */

  delta = x - x2 ;
  saveDist = dist + delta*delta ;

  if (x <= x2) {
    nextChild = node->lowerChild ;
    saveChild = node->upperChild ;
    if (x <= x1) {
      delta = x - x1 ;
      saveDist -= delta*delta ;
    }
  } else {
    nextChild = node->upperChild ;
    saveChild = node->lowerChild ;
    if (x > x3) {
      delta = x - x3 ;
      saveDist -= delta*delta ;
    }
  }

  if (*numAddedNeighbors < numNeighbors || neighbors[0].distance > saveDist) {
    searchState = self->searchHeapArray + self->searchHeapNumNodes ;
    searchState->tree = tree ;
    searchState->nodeIndex = saveChild ;
    searchState->distanceLowerBound = saveDist ;
    vl_kdforest_search_heap_push (self->searchHeapArray,
                                  &self->searchHeapNumNodes) ;
  }

  return vl_kdforest_query_recursively (self,
                                        tree,
                                        nextChild,
                                        neighbors,
                                        numNeighbors,
                                        numAddedNeighbors,
                                        dist,
                                        query) ;
}

/** ------------------------------------------------------------------
 ** @internal @brief Compute tree bounds recursively
 ** @param tree KDTree object instance.
 ** @param nodeIndex node index to start from.
 ** @param searchBounds 2 x numDimension array of bounds.
 **/

static void
vl_kdtree_calc_bounds_recursively (VlKDTree * tree,
                                   vl_uindex nodeIndex, double * searchBounds)
{
  VlKDTreeNode * node = tree->nodes + nodeIndex ;
  vl_uindex i = node->splitDimension ;
  double t = node->splitThreshold ;

  node->lowerBound = searchBounds [2 * i + 0] ;
  node->upperBound = searchBounds [2 * i + 1] ;

  if (node->lowerChild > 0) {
    searchBounds [2 * i + 1] = t ;
    vl_kdtree_calc_bounds_recursively (tree, node->lowerChild, searchBounds) ;
    searchBounds [2 * i + 1] = node->upperBound ;
  }
  if (node->upperChild > 0) {
    searchBounds [2 * i + 0] = t ;
    vl_kdtree_calc_bounds_recursively (tree, node->upperChild, searchBounds) ;
    searchBounds [2 * i + 0] = node->lowerBound ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Query operation
 ** @param self KDTree object instance.
 ** @param neighbors list of nearest neighbors found (output).
 ** @param numNeighbors number of nearest neighbors to find.
 ** @param query query point.
 ** @return number of tree leaves visited.
 **
 ** A neighbor is represented by an instance of the structure
 ** ::VlKDForestNeighbor. Each entry contains the index of the
 ** neighbor (this is an index into the KDTree data) and its distance
 ** to the query point. Neighbors are sorted by increasing distance.
 **/

VL_EXPORT vl_size
vl_kdforest_query (VlKDForest * self,
                   VlKDForestNeighbor * neighbors,
                   vl_size numNeighbors,
                   void const * query)
{
  vl_uindex i, ti ;
  vl_bool exactSearch = (self->searchMaxNumComparisons == 0) ;
  VlKDForestSearchState * searchState  ;
  vl_size numAddedNeighbors = 0 ;

  assert (neighbors) ;
  assert (numNeighbors > 0) ;
  assert (query) ;

  /* this number is used to differentiate a query from the next */
  self -> searchId += 1 ;
  self -> searchNumRecursions = 0 ;

  if (! self -> searchHeapArray) {
    /* count number of tree nodes */
    /* add support structures */
    vl_size maxNumNodes = 0 ;
    for (ti = 0 ; ti < self->numTrees ; ++ti) {
      maxNumNodes += self->trees[ti]->numUsedNodes ;
    }
    self -> searchHeapArray = vl_malloc (sizeof(VlKDForestSearchState) * maxNumNodes) ;
    self -> searchIdBook = vl_calloc (sizeof(vl_uindex), self->numData) ;

    for (ti = 0 ; ti < self->numTrees ; ++ti) {
      double * searchBounds = vl_malloc(sizeof(double) * 2 * self->dimension) ;
      double * iter = searchBounds  ;
      double * end = iter + 2 * self->dimension ;
      while (iter < end) {
        *iter++ = - VL_INFINITY_F ;
        *iter++ = + VL_INFINITY_F ;
      }
      vl_kdtree_calc_bounds_recursively (self->trees[ti], 0, searchBounds) ;
      vl_free (searchBounds) ;
    }
  }

  self->searchNumComparisons = 0 ;
  self->searchNumSimplifications = 0 ;

  /* put the root node into the search heap */
  self->searchHeapNumNodes = 0 ;
  for (ti = 0 ; ti < self->numTrees ; ++ ti) {
    searchState = self->searchHeapArray + self->searchHeapNumNodes ;
    searchState -> tree = self->trees[ti] ;
    searchState -> nodeIndex = 0 ;
    searchState -> distanceLowerBound = 0 ;
    vl_kdforest_search_heap_push (self->searchHeapArray, &self->searchHeapNumNodes) ;
  }

  /* branch and bound */
  while (exactSearch || self->searchNumComparisons < self->searchMaxNumComparisons)
  {
    /* pop the next optimal search node */
    VlKDForestSearchState * searchState ;

    /* break if search space completed */
    if (self->searchHeapNumNodes == 0) {
      break ;
    }

    searchState = self->searchHeapArray +
      vl_kdforest_search_heap_pop (self->searchHeapArray, &self->searchHeapNumNodes) ;

    /* break if no better solution may exist */
    if (numAddedNeighbors == numNeighbors &&
        neighbors[0].distance < searchState->distanceLowerBound) {
      self->searchNumSimplifications ++ ;
      break ;
    }

    vl_kdforest_query_recursively (self,
                                   searchState->tree,
                                   searchState->nodeIndex,
                                   neighbors,
                                   numNeighbors,
                                   &numAddedNeighbors,
                                   searchState->distanceLowerBound,
                                   query) ;
  }

  /* sort neighbors by increasing distance */
  for (i = numAddedNeighbors ;  i < numNeighbors ; ++ i) {
    neighbors[i].index = -1 ;
    neighbors[i].distance = VL_NAN_F ;
  }
  while (numAddedNeighbors) {
    vl_kdforest_neighbor_heap_pop (neighbors, &numAddedNeighbors) ;
  }

  return self->searchNumComparisons ;
}
vlfeat-0.9.16/vl/kdtree.h000066400000000000000000000165531203326130700151470ustar00rootroot00000000000000/** @file kdtree.h
 ** @brief KD-tree (@ref kdtree)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_KDTREE_H
#define VL_KDTREE_H

#include "generic.h"
#include "mathop.h"

#define VL_KDTREE_SPLIT_HEAP_SIZE 5

typedef struct _VlKDTreeNode VlKDTreeNode ;
typedef struct _VlKDTreeSplitDimension VlKDTreeSplitDimension ;
typedef struct _VlKDTreeDataIndexEntry VlKDTreeDataIndexEntry ;
typedef struct _VlKDForestSearchState VlKDForestSearchState ;

struct _VlKDTreeNode
{
  vl_uindex parent ;
  vl_index lowerChild ;
  vl_index upperChild ;
  unsigned int splitDimension ;
  double splitThreshold ;
  double lowerBound ;
  double upperBound ;
} ;

struct _VlKDTreeSplitDimension
{
  unsigned int dimension ;
  double mean ;
  double variance ;
} ;

struct _VlKDTreeDataIndexEntry
{
  vl_index index ;
  double value ;
} ;

/** @brief Thresholding method */
typedef enum _VlKDTreeThresholdingMethod
{
  VL_KDTREE_MEDIAN,
  VL_KDTREE_MEAN
} VlKDTreeThresholdingMethod ;

/** @brief Neighbor of a query point */
typedef struct _VlKDForestNeighbor {
  double distance ;   /**< distance to the query point */
  vl_uindex index ;   /**< index of the neighbor in the KDTree data */
} VlKDForestNeighbor ;

typedef struct _VlKDTree
{
  VlKDTreeNode * nodes ;
  vl_size numUsedNodes ;
  vl_size numAllocatedNodes ;
  VlKDTreeDataIndexEntry * dataIndex ;
  unsigned int depth ;
} VlKDTree ;

struct _VlKDForestSearchState
{
  VlKDTree * tree ;
  vl_uindex nodeIndex ;
  double distanceLowerBound ;
} ;

/** @brief KDForest object */
typedef struct _VlKDForest
{
  vl_size dimension ;

  /* random number generator */
  VlRand * rand ;

  /* indexed data */
  vl_type dataType ;
  void const * data ;
  vl_size numData ;
  void (*distanceFunction)(void) ;

  /* tree structure */
  VlKDTree ** trees ;
  vl_size numTrees ;

  /* build */
  VlKDTreeThresholdingMethod thresholdingMethod ;
  VlKDTreeSplitDimension splitHeapArray [VL_KDTREE_SPLIT_HEAP_SIZE] ;
  vl_size splitHeapNumNodes ;
  vl_size splitHeapSize ;

  /* querying */
  VlKDForestSearchState * searchHeapArray ;
  vl_size searchHeapNumNodes ;
  vl_uindex searchId ;
  vl_uindex * searchIdBook ;

  vl_size searchMaxNumComparisons ;
  vl_size searchNumComparisons;
  vl_size searchNumRecursions ;
  vl_size searchNumSimplifications ;
} VlKDForest ;

/** @name Creatind and disposing
 ** @{ */
VL_EXPORT VlKDForest * vl_kdforest_new (vl_type dataType,
                                        vl_size dimension, vl_size numTrees) ;
VL_EXPORT void vl_kdforest_delete (VlKDForest * self) ;
/** @} */

/** @name Building and querying
 ** @{ */
VL_EXPORT void vl_kdforest_build (VlKDForest * self,
                                  vl_size numData,
                                  void const * data) ;
VL_EXPORT vl_size vl_kdforest_query (VlKDForest * self,
                                     VlKDForestNeighbor * neighbors,
                                     vl_size numNeighbors,
                                     void const * query) ;
/** @} */

/** @name Retrieving and setting parameters
 ** @{ */
VL_INLINE vl_size vl_kdforest_get_depth_of_tree (VlKDForest const * self, vl_uindex treeIndex) ;
VL_INLINE vl_size vl_kdforest_get_num_nodes_of_tree (VlKDForest const * self, vl_uindex treeIndex) ;
VL_INLINE vl_size vl_kdforest_get_num_trees (VlKDForest const * self) ;
VL_INLINE vl_size vl_kdforest_get_data_dimension (VlKDForest const * self) ;
VL_INLINE vl_type vl_kdforest_get_data_type (VlKDForest const * self) ;
VL_INLINE void vl_kdforest_set_max_num_comparisons (VlKDForest * self, vl_size n) ;
VL_INLINE vl_size vl_kdforest_get_max_num_comparisons (VlKDForest * self) ;
VL_INLINE void vl_kdforest_set_thresholding_method (VlKDForest * self, VlKDTreeThresholdingMethod method) ;
VL_INLINE VlKDTreeThresholdingMethod vl_kdforest_get_thresholding_method (VlKDForest const * self) ;
/** @} */

/** ------------------------------------------------------------------
 ** @brief Get the number of nodes of a given tree
 ** @param self KDForest object.
 ** @param treeIndex index of the tree.
 ** @return number of trees.
 **/

vl_size
vl_kdforest_get_num_nodes_of_tree (VlKDForest const * self, vl_uindex treeIndex)
{
  assert (treeIndex < self->numTrees) ;
  return self->trees[treeIndex]->numUsedNodes ;
}

/** ------------------------------------------------------------------
 ** @brief Get the detph of a given tree
 ** @param self KDForest object.
 ** @param treeIndex index of the tree.
 ** @return number of trees.
 **/

vl_size
vl_kdforest_get_depth_of_tree (VlKDForest const * self, vl_uindex treeIndex)
{
  assert (treeIndex < self->numTrees) ;
  return self->trees[treeIndex]->depth ;
}

/** ------------------------------------------------------------------
 ** @brief Get the number of trees in the forest
 **
 ** @param self KDForest object.
 ** @return number of trees.
 **/

vl_size
vl_kdforest_get_num_trees (VlKDForest const * self)
{
  return self->numTrees ;
}

/** ------------------------------------------------------------------
 ** @brief Set the maximum number of comparisons for a search
 **
 ** @param self KDForest object.
 ** @param n maximum number of leaves.
 **
 ** This function sets the maximum number of comparisons for a
 ** nearest neighbor search. Setting it to 0 means unbounded comparisons.
 **
 ** @sa ::vl_kdforest_query, ::vl_kdforest_get_max_num_comparisons.
 **/

void
vl_kdforest_set_max_num_comparisons (VlKDForest * self, vl_size n)
{
  self->searchMaxNumComparisons = n ;
}

/** ------------------------------------------------------------------
 ** @brief Get the maximum number of comparisons for a search
 **
 ** @param self KDForest object.
 ** @return maximum number of leaves.
 **
 ** @sa ::vl_kdforest_set_max_num_comparisons.
 **/

vl_size
vl_kdforest_get_max_num_comparisons (VlKDForest * self)
{
  return self->searchMaxNumComparisons ;
}

/** ------------------------------------------------------------------
 ** @brief Set the thresholding method
 ** @param self KDForest object.
 ** @param method one of ::VlKDTreeThresholdingMethod.
 **
 ** @sa ::vl_kdforest_get_thresholding_method
 **/

VL_INLINE void
vl_kdforest_set_thresholding_method (VlKDForest * self, VlKDTreeThresholdingMethod method)
{
  assert(method == VL_KDTREE_MEDIAN || method == VL_KDTREE_MEAN) ;
  self->thresholdingMethod = method ;
}

/** ------------------------------------------------------------------
 ** @brief Get the thresholding method
 **
 ** @param self KDForest object.
 ** @return thresholding method.
 **
 ** @sa ::vl_kdforest_set_thresholding_method
 **/

VL_INLINE VlKDTreeThresholdingMethod
vl_kdforest_get_thresholding_method (VlKDForest const * self)
{
  return self->thresholdingMethod ;
}

/** ------------------------------------------------------------------
 ** @brief Get the dimension of the data
 ** @param self KDForest object.
 ** @return dimension of the data.
 **/

VL_INLINE vl_size
vl_kdforest_get_data_dimension (VlKDForest const * self)
{
  return self->dimension ;
}

/** ------------------------------------------------------------------
 ** @brief Get the data type
 ** @param self KDForest object.
 ** @return data type (one of ::VL_TYPE_FLOAT, ::VL_TYPE_DOUBLE).
 **/

VL_INLINE vl_type
vl_kdforest_get_data_type (VlKDForest const * self)
{
  return self->dataType ;
}


/* VL_KDTREE_H */
#endif
vlfeat-0.9.16/vl/kmeans.c000066400000000000000000001503151203326130700151350ustar00rootroot00000000000000/** @file kmeans.c
 ** @brief K-means - Declaration
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@page kmeans K-means clustering
@author Andrea Vedaldi


@ref kmeans.h implements a number of algorithm for k-means quantisation.
It supports

- data of type @c float or @c double;
- @e l1 and @e l2 distances;
- random selection and k-means++ @cite{arthur07k-means}
  initialization methods;
- the basic Lloyd @cite{lloyd82least} and the accelerated Elkan
  @cite{elkan03using} optimization methods.


@section kmeans-usage Usage


To use @ref kmeans.h to learn clusters from some training data,
instantiate a ::VlKMeans object, set the configuration parameters,
initialise the cluster centers, and run the trainig code.  For
instance, to learn @c numCenters clusters from @c numData vectors of
dimension @c dimension and storage type @c float using L2 distance and
at most 100 Lloyd iterations of the Lloyd algorithm use:

@code
#include 

VlKMeansAlgorithm algorithm = VlKMeansLloyd ;
VlVectorComparisonType distance = VlDistanceL2 ;
KMeans * kmeans = vl_kmeans_new (algorithm, distance, VL_TYPE_FLOAT) ;
vl_kmeans_seed_centers_with_rand_data (kmeans, data, dimension, numData, numCenters) ;
vl_kmeans_set_max_num_iterations (kmeans, 100) ;
vl_kmeans_refine_centers (kmeans, data, numData) ;
@endcode

Use ::vl_kmeans_get_energy to get the solution energy (or an upper
bound for the Elkan algorithm) and ::vl_kmeans_get_centers to obtain
the @c numCluster cluster centers. Use ::vl_kmeans_quantize to
quantize new data points.


@subsection kmeans-usage-init Initialization algorithms


@ref kmeans.h supports the following cluster initialization algorithms:

- Random data points (::vl_kmeans_seed_centers_with_rand_data)
  initialize the centers from a random selection of the training data.
- k-means++ (::vl_kmeans_seed_centers_plus_plus) initialize the
  centers from a random selection of the training data while
  attempting to obtain a good coverage of the dataset. This is the
  strategy from @cite{arthur07k-means}.


@subsection kmeans-usage-optimizers Optimization algorithms


@ref kmeans.h supports the following optimization algorithms:

- Lloyd @cite{lloyd82least} (::VlKMeansLloyd). This is the
  standard k-means algorithm, alternating the estimation of the
  point-to-cluster memebrship and of the cluster centers (means in the
  Euclidean case). Estimating membership requires computing the
  distance of each point to all cluster centers, which can be
  extremely slow.

- Elkan @cite{elkan03using} (::VlKMeansElkan). This is a
  variation of @cite{lloyd82least} that uses the triangular inequality
  to avoid many distance calculations when assigning points to
  clusters and is typically much faster than
  @cite{lloyd82least}. However, it uses storage proportional to the
  square of the number of clusters, which makes it unpractical for a
  very large number of clusters.

@section kmeans-tech Technical details

Given data points @f$ x_1, \dots, x_n \in \mathbb{R}^d @f$, k-means
searches for @f$ k @f$ vectors @f$ c_1, \dots, c_n \in \mathbb{R}^d @f$
(cluster centers) and a function @f$ \pi : \{1, \dots, n\}
\rightarrow \{1, \dots, k\} @f$ (cluster memberships)
that minimize the objective:

@f[
  E(c_1,\dots,c_n,\pi) = \sum_{i=1}^n d^2(x_i, c_{\pi(i)})
@f]

A simple procedure due to Lloyd @cite{lloyd82least}
to locally optimize this objective
alternates estimating the cluster centers and the membeship function.
Specifically, given the membership function @f$ \pi @f$,
the objective can be minimized independently for eac @f$ c_k @f$
by minimizing

@f[
  \sum_{i : \pi(i) = k} d^2(x_i, c_k)
@f]

For the Euclidean distance, the minimizer is simply the mean of the points
assigned to that cluster. For other distances, the minimizer is
a generalized average. For instance, for the @f$ l^1 @f$ distance,
this is the median. Assuming that computing the average is linear
in the number of points and the data dimension,
this step requires @f$ O(nd) @f$ operations.

Similarly, given the centers @f$ c_1, \dots, c_k @f$, the objective
can be optimized independently for the membership @f$ \pi(i) @f$ of
each point @f$ x_i @f$ by minimizing @f$ d^2(x_i, c_{\pi(i)}) @f$
over @f$ \pi(i) \in \{1, \dots, k\} @f$. Assuming that computing
a distance is @f$ O(d) @f$, this step requires @f$ O(ndk) @f$ operations
and dominates the other.

The algorithm usually starts by initializing the centers from a
random selection of the data point.


@subsection kmeans-tech-kmeanspp Initialization by k-means++


@cite{arthur07k-means} proposes a randomized initialization
of the centers which improves
upon random selection. The first center @f$ c_1 @f$ is selected at random
from the data points @f$ x_1, \dots, x_n @f$ and
the distance from this center to all points @f$ d^2(x_i, c_1) @f$ is
computed. Then the second center @f$ c_2 @f$ is selected at random
from the data points with probability proportional to the distance, and
the procedure is repeated using the minimum distance to the centers
collected so far.


@subsection kmeans-tech-elkan Speeding up by using the triangular inequality


[3] proposes to use the triangular inequality to avoid most
distances calculations when computing point-to-cluster membership
and the cluster centers did not change much from the previous iteration.

This uses two key ideas:

- If a point @f$ x_i @f$ is very close to its current
  center @f$  c_{\pi(i)} @f$ and this center is very far from another
  center @f$ c @f$, then the point cannot be assigned to @f$ c @f$.
  Specifically, if @f$ d(x_i, c_{\pi(i)}) \leq d(c_{\pi(i)}, c) / 2 @f$,
  then also @f$ d(x_i, c_{\pi(i)}) \leq d(x_i, c) @f$.

- If a center @f$ c @f$ is updated to @f$ \hat c @f$, then the variation
  of the distance of the center to any point can be bounded by
  @f$ d(x, c) - d(c, \hat c) \leq d(x, \hat c) \leq d(x,c) + d(c, \hat c) @f$.

The first idea is used by keeping track of the inter-center distances and
exlcuding reassigments to centers too far away from the current assigned
center. The second idea is used by keeping for each point an upper bound
to the distance to the currently assigned center and a lower bound to the
distance to all the other centers. Unless such bounds do not intersect,
then a point need not to be reassigned. See [3] for details.

*/

#include "kmeans.h"
#include "generic.h"
#include "mathop.h"
#include 

/* ================================================================ */
#ifndef VL_KMEANS_INSTANTIATING


/** ------------------------------------------------------------------
 ** @brief Reset state
 **
 ** The function reset the state of the KMeans object. It deletes
 ** any stored centers, releasing the corresponding memory. This
 ** cancels the effect of seeding or setting the centers, but
 ** does not change the other configuration parameters.
 **/

VL_EXPORT void
vl_kmeans_reset (VlKMeans * self)
{
  self->numCenters = 0 ;
  self->dimension = 0 ;

  if (self->centers) vl_free(self->centers) ;
  if (self->centerDistances) vl_free(self->centerDistances) ;
  self->centers = NULL ;
  self->centerDistances = NULL ;
}

/** ------------------------------------------------------------------
 ** @brief Create a new KMeans object
 ** @param dataType type of data (::VL_TYPE_FLOAT or ::VL_TYPE_DOUBLE)
 ** @param distance distance.
 ** @return new KMeans object instance.
**/

VL_EXPORT VlKMeans *
vl_kmeans_new (vl_type dataType,
               VlVectorComparisonType distance)
{
  VlKMeans * self = vl_malloc(sizeof(VlKMeans)) ;

  self->algorithm = VlKMeansLloyd ;
  self->distance = distance ;
  self->dataType = dataType ;

  self->verbosity = 0 ;
  self->maxNumIterations = 100 ;
  self->numRepetitions = 1 ;

  self->centers = NULL ;
  self->centerDistances = NULL ;

  vl_kmeans_reset (self) ;

  return self ;
}

/** ------------------------------------------------------------------
 ** @brief Create a new KMeans object by copy
 ** @param kmeans KMeans object to copy.
 ** @return new copy.
 **/

VL_EXPORT VlKMeans *
vl_kmeans_new_copy (VlKMeans const * kmeans)
{
  VlKMeans * self = vl_malloc(sizeof(VlKMeans)) ;

  self->algorithm = kmeans->algorithm ;
  self->distance = kmeans->distance ;
  self->dataType = kmeans->dataType ;

  self->verbosity = kmeans->verbosity ;
  self->maxNumIterations = kmeans->maxNumIterations ;
  self->numRepetitions = kmeans->numRepetitions ;

  self->dimension = kmeans->dimension ;
  self->numCenters = kmeans->numCenters ;
  self->centers = NULL ;
  self->centerDistances = NULL ;

  if (kmeans->centers) {
    vl_size dataSize = vl_get_type_size(self->dataType) * self->dimension * self->numCenters ;
    self->centers = vl_malloc(dataSize) ;
    memcpy (self->centers, kmeans->centers, dataSize) ;
  }

  if (kmeans->centerDistances) {
    vl_size dataSize = vl_get_type_size(self->dataType) * self->numCenters * self->numCenters ;
    self->centerDistances = vl_malloc(dataSize) ;
    memcpy (self->centerDistances, kmeans->centerDistances, dataSize) ;
  }

  return self ;
}

/** ------------------------------------------------------------------
 ** @brief Deletes a KMeans object
 ** @param self KMeans object instance.
 **
 ** The function deletes the KMeans object instance created
 ** by ::vl_kmeans_new.
 **/

VL_EXPORT void
vl_kmeans_delete (VlKMeans * self)
{
  vl_kmeans_reset (self) ;
  vl_free (self) ;
}

/* an helper structure */
typedef struct _VlKMeansSortWrapper
{
  vl_uint32 * permutation ;
  void const * data ;
  vl_size stride ;
} VlKMeansSortWrapper ;

/* ---------------------------------------------------------------- */
/* Instantiate shuffle algorithm */

#define VL_SHUFFLE_type vl_uindex
#define VL_SHUFFLE_prefix _vl_kmeans
#include "shuffle-def.h"

/* #ifdef VL_KMEANS_INSTANTITATING */
#endif

/* ================================================================ */
#ifdef VL_KMEANS_INSTANTIATING

/* ---------------------------------------------------------------- */
/*                                                      Set centers */
/* ---------------------------------------------------------------- */

static void
VL_XCAT(_vl_kmeans_set_centers_, SFX)
(VlKMeans * self,
 TYPE const * centers,
 vl_size dimension,
 vl_size numCenters)
{
  self->dimension = dimension ;
  self->numCenters = numCenters ;
  self->centers = vl_malloc (sizeof(TYPE) * dimension * numCenters) ;
  memcpy ((TYPE*)self->centers, centers,
          sizeof(TYPE) * dimension * numCenters) ;
}

/* ---------------------------------------------------------------- */
/*                                                   Random seeding */
/* ---------------------------------------------------------------- */

static void
VL_XCAT(_vl_kmeans_seed_centers_with_rand_data_, SFX)
(VlKMeans * self,
 TYPE const * data,
 vl_size dimension,
 vl_size numData,
 vl_size numCenters)
{
  vl_uindex i, j, k ;
  VlRand * rand = vl_get_rand () ;

  self->dimension = dimension ;
  self->numCenters = numCenters ;
  self->centers = vl_malloc (sizeof(TYPE) * dimension * numCenters) ;

  {
    vl_uindex * perm = vl_malloc (sizeof(vl_uindex) * numData) ;
#if (FLT == VL_TYPE_FLOAT)
    VlFloatVectorComparisonFunction distFn = vl_get_vector_comparison_function_f(self->distance) ;
#else
    VlDoubleVectorComparisonFunction distFn = vl_get_vector_comparison_function_d(self->distance) ;
#endif
    TYPE * distances = vl_malloc (sizeof(TYPE) * numCenters) ;

    /* get a random permutation of the data point */
    for (i = 0 ; i < numData ; ++i) perm[i] = i ;
    _vl_kmeans_shuffle (perm, numData, rand) ;

    for (k = 0, i = 0 ; k < numCenters ; ++ i) {

      /* compare the next data point to all centers collected so far
       to detect duplicates (if there are enough left)
       */
      if (numCenters - k < numData - i) {
        vl_bool duplicateDetected = VL_FALSE ;
        VL_XCAT(vl_eval_vector_comparison_on_all_pairs_, SFX)(distances,
                                                              dimension,
                                                              data + dimension * perm[i], 1,
                                                              (TYPE*)self->centers, k,
                                                              distFn) ;
        for (j = 0 ; j < k ; ++j) { duplicateDetected |= (distances[j] == 0) ; }
        if (duplicateDetected) continue ;
      }

      /* ok, it is not a duplicate so we can accept it! */
      memcpy ((TYPE*)self->centers + dimension * k,
              data + dimension * perm[i],
              sizeof(TYPE) * dimension) ;
      k ++ ;
    }
    vl_free(distances) ;
    vl_free(perm) ;
  }
}

/* ---------------------------------------------------------------- */
/*                                                 kmeans++ seeding */
/* ---------------------------------------------------------------- */

static void
VL_XCAT(_vl_kmeans_seed_centers_plus_plus_, SFX)
(VlKMeans * self,
 TYPE const * data,
 vl_size dimension,
 vl_size numData,
 vl_size numCenters)
{
  vl_uindex x, c ;
  VlRand * rand = vl_get_rand () ;
  TYPE * distances = vl_malloc (sizeof(TYPE) * numData) ;
  TYPE * minDistances = vl_malloc (sizeof(TYPE) * numData) ;
#if (FLT == VL_TYPE_FLOAT)
  VlFloatVectorComparisonFunction distFn = vl_get_vector_comparison_function_f(self->distance) ;
#else
  VlDoubleVectorComparisonFunction distFn = vl_get_vector_comparison_function_d(self->distance) ;
#endif

  self->dimension = dimension ;
  self->numCenters = numCenters ;
  self->centers = vl_malloc (sizeof(TYPE) * dimension * numCenters) ;

  for (x = 0 ; x < numData ; ++x) {
    minDistances[x] = (TYPE) VL_INFINITY_D ;
  }

  /* select the first point at random */
  x = vl_rand_uindex (rand, numData) ;
  c = 0 ;
  while (1) {
    TYPE energy = 0 ;
    TYPE acc = 0 ;
    TYPE thresh = (TYPE) vl_rand_real1 (rand) ;

    memcpy ((TYPE*)self->centers + c * dimension,
            data + x * dimension,
            sizeof(TYPE) * dimension) ;

    c ++ ;
    if (c == numCenters) break ;

    VL_XCAT(vl_eval_vector_comparison_on_all_pairs_, SFX)
    (distances,
     dimension,
     (TYPE*)self->centers + (c - 1) * dimension, 1,
     data, numData,
     distFn) ;

    for (x = 0 ; x < numData ; ++x) {
      minDistances[x] = VL_MIN(minDistances[x], distances[x]) ;
      energy += minDistances[x] ;
    }

    for (x = 0 ; x < numData - 1 ; ++x) {
      acc += minDistances[x] ;
      if (acc >= thresh * energy) break ;
    }
  }

  vl_free(distances) ;
  vl_free(minDistances) ;
}

/* ---------------------------------------------------------------- */
/*                                                     Quantization */
/* ---------------------------------------------------------------- */

static void
VL_XCAT(_vl_kmeans_quantize_, SFX)
(VlKMeans * self,
 vl_uint32 * assignments,
 TYPE * distances,
 TYPE const * data,
 vl_size numData)
{
  vl_uindex i ;
#if (FLT == VL_TYPE_FLOAT)
  VlFloatVectorComparisonFunction distFn = vl_get_vector_comparison_function_f(self->distance) ;
#else
  VlDoubleVectorComparisonFunction distFn = vl_get_vector_comparison_function_d(self->distance) ;
#endif
  TYPE * distanceToCenters = vl_malloc (sizeof(TYPE) * self->numCenters) ;

  for (i = 0 ; i < numData ; ++i) {
    vl_size k ;
    TYPE bestDistance = (TYPE) VL_INFINITY_D ;
    VL_XCAT(vl_eval_vector_comparison_on_all_pairs_, SFX)(distanceToCenters,
                                                          self->dimension,
                                                          data + self->dimension * i, 1,
                                                          (TYPE*)self->centers, self->numCenters,
                                                          distFn) ;
    for (k = 0 ; k < self->numCenters ; ++k) {
      if (distanceToCenters[k] < bestDistance) {
        bestDistance = distanceToCenters[k] ;
        assignments[i] = (vl_uint32)k ;
      }
    }

    if (distances) distances[i] = bestDistance ;
  }
  vl_free(distanceToCenters) ;
}

/* ---------------------------------------------------------------- */
/*                                                 Helper functions */
/* ---------------------------------------------------------------- */

/* The sorting routine is used to find increasing permutation of each
 * data dimension. This is used to quickly find the median for l1
 * distance clustering. */

VL_INLINE TYPE
VL_XCAT3(_vl_kmeans_, SFX, _qsort_cmp)
(VlKMeansSortWrapper * array, vl_uindex indexA, vl_uindex indexB)
{
  return
  ((TYPE*)array->data) [array->permutation[indexA] * array->stride]
  -
  ((TYPE*)array->data) [array->permutation[indexB] * array->stride] ;
}

VL_INLINE void
VL_XCAT3(_vl_kmeans_, SFX, _qsort_swap)
(VlKMeansSortWrapper * array, vl_uindex indexA, vl_uindex indexB)
{
  vl_uint32 tmp = array->permutation[indexA] ;
  array->permutation[indexA] = array->permutation[indexB] ;
  array->permutation[indexB] = tmp ;
}

#define VL_QSORT_prefix  VL_XCAT3(_vl_kmeans_, SFX, _qsort)
#define VL_QSORT_array   VlKMeansSortWrapper*
#define VL_QSORT_cmp     VL_XCAT3(_vl_kmeans_, SFX, _qsort_cmp)
#define VL_QSORT_swap    VL_XCAT3(_vl_kmeans_, SFX, _qsort_swap)
#include "qsort-def.h"

static void
VL_XCAT(_vl_kmeans_sort_data_helper_, SFX)
(VlKMeans * self, vl_uint32 * permutations, TYPE const * data, vl_size numData)
{
  vl_uindex d, x ;

  for (d = 0 ; d < self->dimension ; ++d) {
    VlKMeansSortWrapper array ;
    array.permutation = permutations + d * numData ;
    array.data = data + d ;
    array.stride = self->dimension ;
    for (x = 0 ; x < numData ; ++x) { array.permutation[x] = (vl_uint32)x ; }
    VL_XCAT3(_vl_kmeans_, SFX, _qsort_sort)(&array, numData) ;
  }
}

/* ---------------------------------------------------------------- */
/*                                                 Lloyd refinement */
/* ---------------------------------------------------------------- */

static double
VL_XCAT(_vl_kmeans_refine_centers_lloyd_, SFX)
(VlKMeans * self,
 TYPE const * data,
 vl_size numData)
{
  vl_size c, d, x, iteration ;
  vl_bool allDone ;
  double previousEnergy = VL_INFINITY_D ;
  double energy ;
  TYPE * distances = vl_malloc (sizeof(TYPE) * numData) ;
  vl_uint32 * assignments = vl_malloc (sizeof(vl_uint32) * numData) ;
  vl_size * clusterMasses = vl_malloc (sizeof(vl_size) * numData) ;
  vl_uint32 * permutations = NULL ;
  vl_size * numSeenSoFar = NULL ;
  VlRand * rand = vl_get_rand () ;
  vl_size totNumRestartedCenters = 0 ;
  vl_size numRestartedCenters = 0 ;

  if (self->distance == VlDistanceL1) {
    permutations = vl_malloc(sizeof(vl_uint32) * numData * self->dimension) ;
    numSeenSoFar = vl_malloc(sizeof(vl_size) * self->numCenters) ;
    VL_XCAT(_vl_kmeans_sort_data_helper_, SFX)(self, permutations, data, numData) ;
  }

  for (energy = VL_INFINITY_D,
       iteration = 0,
       allDone = VL_FALSE ;
       1 ;
       ++ iteration) {

    /* assign data to cluters */
    VL_XCAT(_vl_kmeans_quantize_, SFX)(self, assignments, distances, data, numData) ;

    /* compute energy */
    energy = 0 ;
    for (x = 0 ; x < numData ; ++x) energy += distances[x] ;
    if (self->verbosity) {
      VL_PRINTF("kmeans: Lloyd iter %d: energy = %g\n", iteration,
                energy) ;
    }

    /* check termination conditions */
    if (iteration >= self->maxNumIterations) {
      if (self->verbosity) {
        VL_PRINTF("kmeans: Lloyd terminating because maximum number of iterations reached\n") ;
      }
      break ;
    }
    if (energy == previousEnergy) {
      if (self->verbosity) {
        VL_PRINTF("kmeans: Lloyd terminating because the algorithm fully converged\n") ;
      }
      break ;
    }

    /* begin next iteration */
    previousEnergy = energy ;

    /* update clusters */
    memset(clusterMasses, 0, sizeof(vl_size) * numData) ;
    for (x = 0 ; x < numData ; ++x) {
      clusterMasses[assignments[x]] ++ ;
    }

    numRestartedCenters = 0 ;
    switch (self->distance) {
      case VlDistanceL2:
        memset(self->centers, 0, sizeof(TYPE) * self->dimension * self->numCenters) ;
        for (x = 0 ; x < numData ; ++x) {
          TYPE * cpt = (TYPE*)self->centers + assignments[x] * self->dimension ;
          TYPE const * xpt = data + x * self->dimension ;
          for (d = 0 ; d < self->dimension ; ++d) { cpt[d] += xpt[d] ; }
        }
        for (c = 0 ; c < self->numCenters ; ++c) {
          TYPE * cpt = (TYPE*)self->centers + c * self->dimension ;
          if (clusterMasses[c] > 0) {
            TYPE mass = clusterMasses[c] ;
            for (d = 0 ; d < self->dimension ; ++d) { cpt[d] /= mass ; }
          } else {
            vl_uindex x = vl_rand_uindex(rand, numData) ;
            numRestartedCenters ++ ;
            for (d = 0 ; d < self->dimension ; ++d) {
              cpt[d] = data[x * self->dimension + d] ;
            }
          }
        }
        break ;
      case VlDistanceL1:
        for (d = 0 ; d < self->dimension ; ++d) {
          vl_uint32 * perm = permutations + d * numData ;
          memset(numSeenSoFar, 0, sizeof(vl_size) * self->numCenters) ;
          for (x = 0; x < numData ; ++x) {
            c = assignments[perm[x]] ;
            if (2 * numSeenSoFar[c] < clusterMasses[c]) {
              ((TYPE*)self->centers) [d + c * self->dimension] =
              data [d + perm[x] * self->dimension] ;
            }
            numSeenSoFar[c] ++ ;
          }
          /* restart the centers as required  */
          for (c = 0 ; c < self->numCenters ; ++c) {
            if (clusterMasses[c] == 0) {
              TYPE * cpt = (TYPE*)self->centers + c * self->dimension ;
              vl_uindex x = vl_rand_uindex(rand, numData) ;
              numRestartedCenters ++ ;
              for (d = 0 ; d < self->dimension ; ++d) {
                cpt[d] = data[x * self->dimension + d] ;
              }
            }
          }
        }
        break ;
      default:
        abort();
    } /* done compute centers */

    totNumRestartedCenters += numRestartedCenters ;
    if (self->verbosity && numRestartedCenters) {
      VL_PRINTF("kmeans: Lloyd iter %d: restarted %d centers\n", iteration,
                numRestartedCenters) ;
    }
  } /* next Lloyd iteration */

  if (permutations) { vl_free(permutations) ; }
  if (numSeenSoFar) { vl_free(numSeenSoFar) ; }
  vl_free(distances) ;
  vl_free(assignments) ;
  vl_free(clusterMasses) ;
  return energy ;
}

/* ---------------------------------------------------------------- */
/*                                                 Elkan refinement */
/* ---------------------------------------------------------------- */

static double
VL_XCAT(_vl_kmeans_update_center_distances_, SFX)
(VlKMeans * self)
{
#if (FLT == VL_TYPE_FLOAT)
  VlFloatVectorComparisonFunction distFn = vl_get_vector_comparison_function_f(self->distance) ;
#else
  VlDoubleVectorComparisonFunction distFn = vl_get_vector_comparison_function_d(self->distance) ;
#endif

  if (! self->centerDistances) {
    self->centerDistances = vl_malloc (sizeof(TYPE) *
                                       self->numCenters *
                                       self->numCenters) ;
  }
  VL_XCAT(vl_eval_vector_comparison_on_all_pairs_, SFX)(self->centerDistances,
                                                        self->dimension,
                                                        self->centers, self->numCenters,
                                                        NULL, 0,
                                                        distFn) ;
  return self->numCenters * (self->numCenters - 1) / 2 ;
}



static double
VL_XCAT(_vl_kmeans_refine_centers_elkan_, SFX)
(VlKMeans * self,
 TYPE const * data,
 vl_size numData)
{
  vl_size d, iteration, x ;
  vl_uint32 c, j ;
  vl_bool allDone ;
  TYPE * distances = vl_malloc (sizeof(TYPE) * numData) ;
  vl_uint32 * assignments = vl_malloc (sizeof(vl_uint32) * numData) ;
  vl_size * clusterMasses = vl_malloc (sizeof(vl_size) * numData) ;
  VlRand * rand = vl_get_rand () ;

#if (FLT == VL_TYPE_FLOAT)
    VlFloatVectorComparisonFunction distFn = vl_get_vector_comparison_function_f(self->distance) ;
#else
    VlDoubleVectorComparisonFunction distFn = vl_get_vector_comparison_function_d(self->distance) ;
#endif

  TYPE * nextCenterDistances = vl_malloc (sizeof(TYPE) * self->numCenters) ;
  TYPE * pointToClosestCenterUB = vl_malloc (sizeof(TYPE) * numData) ;
  vl_bool * pointToClosestCenterUBIsStrict = vl_malloc (sizeof(vl_bool) * numData) ;
  TYPE * pointToCenterLB = vl_malloc (sizeof(TYPE) * numData * self->numCenters) ;
  TYPE * newCenters = vl_malloc(sizeof(TYPE) * self->dimension * self->numCenters) ;
  TYPE * centerToNewCenterDistances = vl_malloc (sizeof(TYPE) * self->numCenters) ;

  vl_uint32 * permutations = NULL ;
  vl_size * numSeenSoFar = NULL ;

  double energy ;

  vl_size totDistanceComputationsToInit = 0 ;
  vl_size totDistanceComputationsToRefreshUB = 0 ;
  vl_size totDistanceComputationsToRefreshLB = 0 ;
  vl_size totDistanceComputationsToRefreshCenterDistances = 0 ;
  vl_size totDistanceComputationsToNewCenters = 0 ;
  vl_size totDistanceComputationsToFinalize = 0 ;
  vl_size totNumRestartedCenters = 0 ;

  if (self->distance == VlDistanceL1) {
    permutations = vl_malloc(sizeof(vl_uint32) * numData * self->dimension) ;
    numSeenSoFar = vl_malloc(sizeof(vl_size) * self->numCenters) ;
    VL_XCAT(_vl_kmeans_sort_data_helper_, SFX)(self, permutations, data, numData) ;
  }

  /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
  /*                          Initialization                        */
  /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */

  /* An iteration is: get_new_centers + reassign + get_energy.
     This counts as iteration 0, where get_new_centers is assumed
     to be performed before calling the train function by
     the initialization function */

  /* update distances between centers */
  totDistanceComputationsToInit +=
  VL_XCAT(_vl_kmeans_update_center_distances_, SFX)(self) ;

  /* assigmen points to the initial centers and initialize bounds */
  memset(pointToCenterLB, 0, sizeof(TYPE) * self->numCenters *  numData) ;
  for (x = 0 ; x < numData ; ++x) {
    TYPE distance ;

    /* do the first center */
    assignments[x] = 0 ;
    distance = distFn(self->dimension,
                      data + x * self->dimension,
                      (TYPE*)self->centers + 0) ;
    pointToClosestCenterUB[x] = distance ;
    pointToClosestCenterUBIsStrict[x] = VL_TRUE ;
    pointToCenterLB[0 + x * self->numCenters] = distance ;
    totDistanceComputationsToInit += 1 ;

    /* do other centers */
    for (c = 1 ; c < self->numCenters ; ++c) {

      /* Can skip if the center assigned so far is twice as close
         as its distance to the center under consideration */

      if (((self->distance == VlDistanceL1) ? 2.0 : 4.0) *
          pointToClosestCenterUB[x] <=
          ((TYPE*)self->centerDistances)
          [c + assignments[x] * self->numCenters]) {
        continue ;
      }

      distance = distFn(self->dimension,
                        data + x * self->dimension,
                        (TYPE*)self->centers + c * self->dimension) ;
      pointToCenterLB[c + x * self->numCenters] = distance ;
      totDistanceComputationsToInit += 1 ;
      if (distance < pointToClosestCenterUB[x]) {
        pointToClosestCenterUB[x] = distance ;
        assignments[x] = c ;
      }
    }
  }

  /* compute UB on energy */
  energy = 0 ;
  for (x = 0 ; x < numData ; ++x) {
    energy += pointToClosestCenterUB[x] ;
  }

  if (self->verbosity) {
    VL_PRINTF("kmeans: Elkan iter 0: energy = %g, dist. calc. = %d\n",
              energy, totDistanceComputationsToInit) ;
  }

/* #define SANITY*/
#ifdef SANITY
  {
    int xx ; int cc ;
    TYPE tol = 1e-5 ;
    VL_PRINTF("inconsistencies after initial assignments:\n");
    for (xx = 0 ; xx < numData ; ++xx) {
      for (cc = 0 ; cc < self->numCenters ; ++cc) {
        TYPE a = pointToCenterLB[cc + xx * self->numCenters] ;
        TYPE b = distFn(self->dimension,
                        data + self->dimension * xx,
                        (TYPE*)self->centers + self->dimension * cc) ;
        if (cc == assignments[xx]) {
          TYPE z = pointToClosestCenterUB[xx] ;
          if (z+tolb+tol) VL_PRINTF("LB %d %d = %f  > %f\n",
                           cc, xx, a, b) ;
      }
    }
  }
#endif

  /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
  /*                          Iterations                            */
  /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */

  for (iteration = 1 ; 1; ++iteration) {

    vl_size numDistanceComputationsToRefreshUB = 0 ;
    vl_size numDistanceComputationsToRefreshLB = 0 ;
    vl_size numDistanceComputationsToRefreshCenterDistances = 0 ;
    vl_size numDistanceComputationsToNewCenters = 0 ;
    vl_size numRestartedCenters = 0 ;

    /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
    /*                         Compute new centers                  */
    /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */

    memset(clusterMasses, 0, sizeof(vl_size) * numData) ;
    for (x = 0 ; x < numData ; ++x) {
      clusterMasses[assignments[x]] ++ ;
    }

    switch (self->distance) {
      case VlDistanceL2:
        memset(newCenters, 0, sizeof(TYPE) * self->dimension * self->numCenters) ;
        for (x = 0 ; x < numData ; ++x) {
          TYPE * cpt = newCenters + assignments[x] * self->dimension ;
          TYPE const * xpt = data + x * self->dimension ;
          for (d = 0 ; d < self->dimension ; ++d) { cpt[d] += xpt[d] ; }
        }
        for (c = 0 ; c < self->numCenters ; ++c) {
          TYPE * cpt = newCenters + c * self->dimension ;
          if (clusterMasses[c] > 0) {
            TYPE mass = clusterMasses[c] ;
            for (d = 0 ; d < self->dimension ; ++d) { cpt[d] /= mass ; }
          } else {
            /* restart the center */
            vl_uindex x = vl_rand_uindex(rand, numData) ;
			numRestartedCenters ++ ;
            for (d = 0 ; d < self->dimension ; ++d) {
              cpt[d] = data[x * self->dimension + d] ;
            }
          }
        }
        break ;
      case VlDistanceL1:
        for (d = 0 ; d < self->dimension ; ++d) {
          vl_uint32 * perm = permutations + d * numData ;
          memset(numSeenSoFar, 0, sizeof(vl_size) * self->numCenters) ;
          for (x = 0; x < numData ; ++x) {
            c = assignments[perm[x]] ;
            if (2 * numSeenSoFar[c] < clusterMasses[c]) {
              newCenters [d + c * self->dimension] =
              data [d + perm[x] * self->dimension] ;
            }
            numSeenSoFar[c] ++ ;
          }
        }
        /* restart the centers as required  */
        for (c = 0 ; c < self->numCenters ; ++c) {
          if (clusterMasses[c] == 0) {
            TYPE * cpt = newCenters + c * self->dimension ;
            vl_uindex x = vl_rand_uindex(rand, numData) ;
			numRestartedCenters ++ ;
            for (d = 0 ; d < self->dimension ; ++d) {
              cpt[d] = data[x * self->dimension + d] ;
            }
          }
        }
        break ;
      default:
        abort();
    } /* done compute centers */

    /* compute the distance from the old centers to the new centers */
    for (c = 0 ; c < self->numCenters ; ++c) {
      TYPE distance = distFn(self->dimension,
                             newCenters + c * self->dimension,
                             (TYPE*)self->centers + c * self->dimension) ;
      centerToNewCenterDistances[c] = distance ;
      numDistanceComputationsToNewCenters += 1 ;
    }

    /* make the new centers current */
    {
      TYPE * tmp = self->centers ;
      self->centers = newCenters ;
      newCenters = tmp ;
    }

    /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
    /*                Reassign points to a centers                  */
    /* ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */

    /*
     Update distances between centers.
     */
    numDistanceComputationsToRefreshCenterDistances
    += VL_XCAT(_vl_kmeans_update_center_distances_, SFX)(self) ;

    for (c = 0 ; c < self->numCenters ; ++c) {
      nextCenterDistances[c] = (TYPE) VL_INFINITY_D ;
      for (j = 0 ; j < self->numCenters ; ++j) {
        if (j == c) continue ;
        nextCenterDistances[c] = VL_MIN(nextCenterDistances[c],
                                        ((TYPE*)self->centerDistances)
                                        [j + c * self->numCenters]) ;
      }
    }

    /*
     Update upper bounds on point-to-closest-center distances
     based on the center variation.
     */
    for (x = 0 ; x < numData ; ++x) {
      TYPE a = pointToClosestCenterUB[x] ;
      TYPE b = centerToNewCenterDistances[assignments[x]] ;
      if (self->distance == VlDistanceL1) {
        pointToClosestCenterUB[x] = a + b ;
      } else {
#if (FLT == VL_TYPE_FLOAT)
        TYPE sqrtab =  sqrtf (a * b) ;
#else
        TYPE sqrtab =  sqrt (a * b) ;
#endif
        pointToClosestCenterUB[x] = a + b + 2.0 * sqrtab ;
      }
      pointToClosestCenterUBIsStrict[x] = VL_FALSE ;
    }

    /*
     Update lower bounds on point-to-center distances
     based on the center variation.
     */
    for (x = 0 ; x < numData ; ++x) {
      for (c = 0 ; c < self->numCenters ; ++c) {
        TYPE a = pointToCenterLB[c + x * self->numCenters] ;
        TYPE b = centerToNewCenterDistances[c] ;
        if (a < b) {
          pointToCenterLB[c + x * self->numCenters] = 0 ;
        } else {
          if (self->distance == VlDistanceL1) {
             pointToCenterLB[c + x * self->numCenters]  = a - b ;
          } else {
#if (FLT == VL_TYPE_FLOAT)
            TYPE sqrtab =  sqrtf (a * b) ;
#else
            TYPE sqrtab =  sqrt (a * b) ;
#endif
             pointToCenterLB[c + x * self->numCenters]  = a + b - 2.0 * sqrtab ;
          }
        }
      }
    }

   #ifdef SANITY
    {
      int xx ; int cc ;
      TYPE tol = 1e-5 ;
      VL_PRINTF("inconsistencies before assignments:\n");
      for (xx = 0 ; xx < numData ; ++xx) {
        for (cc = 0 ; cc < self->numCenters ; ++cc) {
          TYPE a = pointToCenterLB[cc + xx * self->numCenters] ;
          TYPE b = distFn(self->dimension,
                          data + self->dimension * xx,
                          (TYPE*)self->centers + self->dimension * cc) ;
          if (cc == assignments[xx]) {
            TYPE z = pointToClosestCenterUB[xx] ;
            if (z+tolb+tol) VL_PRINTF("LB %d %d = %f  > %f (assign = %d)\n",
                                          cc, xx, a, b, assignments[xx]) ;
        }
      }
    }
#endif

    /*
     Scan the data and to the reassignments. Use the bounds to
     skip as many point-to-center distance calculations as possible.
     */
    for (allDone = VL_TRUE, x = 0 ; x < numData ; ++x) {
      /*
       A point x sticks with its current center assignmets[x]
       the UB to d(x, c[assigmnets[x]]) is not larger than half
       the distance of c[assigments[x]] to any other center c.
       */
      if (((self->distance == VlDistanceL1) ? 2.0 : 4.0) *
          pointToClosestCenterUB[x] <= nextCenterDistances[assignments[x]]) {
        continue ;
      }

      for (c = 0 ; c < self->numCenters ; ++c) {
        vl_uint32 cx = assignments[x] ;
        TYPE distance ;

        /* The point is not reassigned to a given center c
         if either:

         0 - c is already the assigned center
         1 - The UB of d(x, c[assignments[x]]) is smaller than half
             the distance of c[assigments[x]] to c, OR
         2 - The UB of d(x, c[assignmets[x]]) is smaller than the
             LB of the distance of x to c.
         */
        if (cx == c) {
          continue ;
        }
        if (((self->distance == VlDistanceL1) ? 2.0 : 4.0) *
            pointToClosestCenterUB[x] <= ((TYPE*)self->centerDistances)
            [c + cx * self->numCenters]) {
          continue ;
        }
        if (pointToClosestCenterUB[x] <= pointToCenterLB
            [c + x * self->numCenters]) {
          continue ;
        }

        /* If the UB is loose, try recomputing it and test again */
        if (! pointToClosestCenterUBIsStrict[x]) {
          distance = distFn(self->dimension,
                            data + self->dimension * x,
                            (TYPE*)self->centers + self->dimension * cx) ;
          pointToClosestCenterUB[x] = distance ;
          pointToClosestCenterUBIsStrict[x] = VL_TRUE ;
          pointToCenterLB[cx + x * self->numCenters] = distance ;
          numDistanceComputationsToRefreshUB += 1 ;

          if (((self->distance == VlDistanceL1) ? 2.0 : 4.0) *
              pointToClosestCenterUB[x] <= ((TYPE*)self->centerDistances)
              [c + cx * self->numCenters]) {
            continue ;
          }
          if (pointToClosestCenterUB[x] <= pointToCenterLB
              [c + x * self->numCenters]) {
            continue ;
          }
        }

        /*
         Now the UB is strict (equal to d(x, assignments[x])), but
         we still could not exclude that x should be reassigned to
         c. We therefore compute the distance, update the LB,
         and check if a reassigmnet must be made
         */
        distance = distFn(self->dimension,
                          data + x * self->dimension,
                          (TYPE*)self->centers + c *  self->dimension) ;
        numDistanceComputationsToRefreshLB += 1 ;
        pointToCenterLB[c + x * self->numCenters] = distance ;

        if (distance < pointToClosestCenterUB[x]) {
          assignments[x] = c ;
          pointToClosestCenterUB[x] = distance ;
          allDone = VL_FALSE ;
          /* the UB strict flag is already set here */
        }

      } /* assign center */
    } /* next data point */

    totDistanceComputationsToRefreshUB
    += numDistanceComputationsToRefreshUB ;

    totDistanceComputationsToRefreshLB
    += numDistanceComputationsToRefreshLB ;

    totDistanceComputationsToRefreshCenterDistances
    += numDistanceComputationsToRefreshCenterDistances ;

    totDistanceComputationsToNewCenters
    += numDistanceComputationsToNewCenters ;

    totNumRestartedCenters
    += numRestartedCenters ;

#ifdef SANITY
    {
      int xx ; int cc ;
      TYPE tol = 1e-5 ;
      VL_PRINTF("inconsistencies after assignments:\n");
      for (xx = 0 ; xx < numData ; ++xx) {
        for (cc = 0 ; cc < self->numCenters ; ++cc) {
          TYPE a = pointToCenterLB[cc + xx * self->numCenters] ;
          TYPE b = distFn(self->dimension,
                          data + self->dimension * xx,
                          (TYPE*)self->centers + self->dimension * cc) ;
          if (cc == assignments[xx]) {
            TYPE z = pointToClosestCenterUB[xx] ;
            if (z+tolb+tol) VL_PRINTF("LB %d %d = %f  > %f (assign = %d)\n",
                             cc, xx, a, b, assignments[xx]) ;
        }
      }
    }
#endif

    /* compute UB on energy */
    energy = 0 ;
    for (x = 0 ; x < numData ; ++x) {
      energy += pointToClosestCenterUB[x] ;
    }

    if (self->verbosity) {
      vl_size numDistanceComputations =
      numDistanceComputationsToRefreshUB +
      numDistanceComputationsToRefreshLB +
      numDistanceComputationsToRefreshCenterDistances +
      numDistanceComputationsToNewCenters ;
      VL_PRINTF("kmeans: Elkan iter %d: energy <= %g, dist. calc. = %d\n",
                iteration,
                energy,
                numDistanceComputations) ;
      if (numRestartedCenters) {
        VL_PRINTF("kmeans: Elkan iter %d: restarted %d centers\n",
                  iteration,
                  energy,
                  numRestartedCenters) ;
      }
      if (self->verbosity > 1) {
        VL_PRINTF("kmeans: Elkan iter %d: total dist. calc. per type: "
                  "UB: %.1f%% (%d), LB: %.1f%% (%d), "
                  "intra_center: %.1f%% (%d), "
                  "new_center: %.1f%% (%d)\n",
                  iteration,
                  100.0 * numDistanceComputationsToRefreshUB / numDistanceComputations,
                  numDistanceComputationsToRefreshUB,
                  100.0 *numDistanceComputationsToRefreshLB / numDistanceComputations,
                  numDistanceComputationsToRefreshLB,
                  100.0 * numDistanceComputationsToRefreshCenterDistances / numDistanceComputations,
                  numDistanceComputationsToRefreshCenterDistances,
                  100.0 * numDistanceComputationsToNewCenters / numDistanceComputations,
                  numDistanceComputationsToNewCenters) ;
      }
    }

    /* check termination conditions */
    if (iteration >= self->maxNumIterations) {
      if (self->verbosity) {
        VL_PRINTF("kmeans: Elkan terminating because maximum number of iterations reached\n") ;
      }
      break ;
    }
    if (allDone) {
      if (self->verbosity) {
        VL_PRINTF("kmeans: Elkan terminating because the algorithm fully converged\n") ;
      }
      break ;
    }

  } /* next Elkan iteration */


  /* compute true energy */
  energy = 0 ;
  for (x = 0 ; x < numData ; ++ x) {
    vl_uindex cx = assignments [x] ;
    energy += distFn(self->dimension,
                     data + self->dimension * x,
                     (TYPE*)self->centers + self->dimension * cx) ;
    totDistanceComputationsToFinalize += 1 ;
  }

  {
    vl_size totDistanceComputations =
    totDistanceComputationsToInit +
    totDistanceComputationsToRefreshUB +
    totDistanceComputationsToRefreshLB +
    totDistanceComputationsToRefreshCenterDistances +
    totDistanceComputationsToNewCenters +
    totDistanceComputationsToFinalize ;

    double saving = (double)totDistanceComputations
    / (iteration * self->numCenters * numData) ;

    if (self->verbosity) {
      VL_PRINTF("kmeans: Elkan: total dist. calc.: %d (%.2f %% of Lloyd)\n",
                totDistanceComputations, saving * 100.0) ;
      if (totNumRestartedCenters) {
        VL_PRINTF("kmeans: Elkan: there have been %d restarts\n",
                  totNumRestartedCenters) ;
      }
    }

    if (self->verbosity > 1) {
      VL_PRINTF("kmeans: Elkan: total dist. calc. per type: "
                "init: %.1f%% (%d), UB: %.1f%% (%d), LB: %.1f%% (%d), "
                "intra_center: %.1f%% (%d), "
                "new_center: %.1f%% (%d), "
                "finalize: %.1f%% (%d)\n",
                100.0 * totDistanceComputationsToInit / totDistanceComputations,
                totDistanceComputationsToInit,
                100.0 * totDistanceComputationsToRefreshUB / totDistanceComputations,
                totDistanceComputationsToRefreshUB,
                100.0 *totDistanceComputationsToRefreshLB / totDistanceComputations,
                totDistanceComputationsToRefreshLB,
                100.0 * totDistanceComputationsToRefreshCenterDistances / totDistanceComputations,
                totDistanceComputationsToRefreshCenterDistances,
                100.0 * totDistanceComputationsToNewCenters / totDistanceComputations,
                totDistanceComputationsToNewCenters,
                100.0 * totDistanceComputationsToFinalize / totDistanceComputations,
                totDistanceComputationsToFinalize) ;
    }
  }

  if (permutations) { vl_free(permutations) ; }
  if (numSeenSoFar) { vl_free(numSeenSoFar) ; }

  vl_free(distances) ;
  vl_free(assignments) ;
  vl_free(clusterMasses) ;

  vl_free(nextCenterDistances) ;
  vl_free(pointToClosestCenterUB) ;
  vl_free(pointToClosestCenterUBIsStrict) ;
  vl_free(pointToCenterLB) ;
  vl_free(newCenters) ;
  vl_free(centerToNewCenterDistances) ;

  return energy ;
}

/* ---------------------------------------------------------------- */
static double
VL_XCAT(_vl_kmeans_refine_centers_, SFX)
(VlKMeans * self,
 TYPE const * data,
 vl_size numData)
{
  switch (self->algorithm) {
    case VlKMeansLloyd:
      return
      VL_XCAT(_vl_kmeans_refine_centers_lloyd_, SFX)(self, data, numData) ;
      break ;
    case VlKMeansElkan:
      return
      VL_XCAT(_vl_kmeans_refine_centers_elkan_, SFX)(self, data, numData) ;
      break ;
    default:
      abort() ;
  }
}

/* VL_KMEANS_INSTANTIATING */
#else

#ifndef __DOXYGEN__
#define FLT VL_TYPE_FLOAT
#define TYPE float
#define SFX f
#define VL_KMEANS_INSTANTIATING
#include "kmeans.c"

#define FLT VL_TYPE_DOUBLE
#define TYPE double
#define SFX d
#define VL_KMEANS_INSTANTIATING
#include "kmeans.c"
#endif

/* VL_KMEANS_INSTANTIATING */
#endif

/* ================================================================ */
#ifndef VL_KMEANS_INSTANTIATING

/** ------------------------------------------------------------------
 ** @brief Set centers
 ** @param self KMeans object.
 ** @param centers centers to copy.
 ** @param dimension data dimension.
 ** @param numCenters number of centers.
 **/

VL_EXPORT void
vl_kmeans_set_centers
(VlKMeans * self,
 void const * centers,
 vl_size dimension,
 vl_size numCenters)
{
  vl_kmeans_reset (self) ;

  switch (self->dataType) {
    case VL_TYPE_FLOAT :
      _vl_kmeans_set_centers_f
      (self, (float const *)centers, dimension, numCenters) ;
      break ;
    case VL_TYPE_DOUBLE :
      _vl_kmeans_set_centers_d
      (self, (double const *)centers, dimension, numCenters) ;
      break ;
    default:
      abort() ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Seed centers by randomly sampling data
 ** @param self KMeans object.
 ** @param data data to sample from.
 ** @param dimension data dimension.
 ** @param numData nmber of data points.
 ** @param numCenters number of centers.
 **
 ** The function seeds the KMeans centers by randomly sampling
 ** the data @a data.
 **/

VL_EXPORT void
vl_kmeans_seed_centers_with_rand_data
(VlKMeans * self,
 void const * data,
 vl_size dimension,
 vl_size numData,
 vl_size numCenters)
{
  vl_kmeans_reset (self) ;

  switch (self->dataType) {
    case VL_TYPE_FLOAT :
      _vl_kmeans_seed_centers_with_rand_data_f
      (self, (float const *)data, dimension, numData, numCenters) ;
      break ;
    case VL_TYPE_DOUBLE :
      _vl_kmeans_seed_centers_with_rand_data_d
      (self, (double const *)data, dimension, numData, numCenters) ;
      break ;
    default:
      abort() ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Seed centers by the KMeans++ algorithm
 ** @param self KMeans object.
 ** @param data data to sample from.
 ** @param dimension data dimension.
 ** @param numData nmber of data points.
 ** @param numCenters number of centers.
 **/

VL_EXPORT void
vl_kmeans_seed_centers_plus_plus
(VlKMeans * self,
 void const * data,
 vl_size dimension,
 vl_size numData,
 vl_size numCenters)
{
  vl_kmeans_reset (self) ;

  switch (self->dataType) {
    case VL_TYPE_FLOAT :
      _vl_kmeans_seed_centers_plus_plus_f
      (self, (float const *)data, dimension, numData, numCenters) ;
      break ;
    case VL_TYPE_DOUBLE :
      _vl_kmeans_seed_centers_plus_plus_d
      (self, (double const *)data, dimension, numData, numCenters) ;
      break ;
    default:
      abort() ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Quantize data
 ** @param self KMeans object.
 ** @param assignments data to centers assignments.
 ** @param distances data to closes center distance/
 ** @param data data to quantize.
 ** @param numData number of data points.
 **/

VL_EXPORT void
vl_kmeans_quantize
(VlKMeans * self,
 vl_uint32 * assignments,
 void * distances,
 void const * data,
 vl_size numData)
{
  switch (self->dataType) {
    case VL_TYPE_FLOAT :
      _vl_kmeans_quantize_f
      (self, assignments, distances, (float const *)data, numData) ;
      break ;
    case VL_TYPE_DOUBLE :
      _vl_kmeans_quantize_d
      (self, assignments, distances, (double const *)data, numData) ;
      break ;
    default:
      abort() ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Refine center locations.
 ** @param self KMeans object.
 ** @param data data to quantize.
 ** @param numData number of data points.
 ** @return K-means energy at the end of optimization.
 **
 ** The function calls the underlying K-means quantization algorithm
 ** (@ref VlKMeansAlgorithm) to quantize the specified data @a data.
 ** The function assumes that the cluster centers have already
 ** been assigned by using one of the seeding functions, or by
 ** setting them.
 **/

VL_EXPORT double
vl_kmeans_refine_centers
(VlKMeans * self,
 void const * data,
 vl_size numData)
{
  assert (self->centers) ;

  switch (self->dataType) {
    case VL_TYPE_FLOAT :
      return
      _vl_kmeans_refine_centers_f
      (self, (float const *)data, numData) ;
    case VL_TYPE_DOUBLE :
      return
      _vl_kmeans_refine_centers_d
      (self, (double const *)data, numData) ;
    default:
      abort() ;
  }
}


/** ------------------------------------------------------------------
 ** @brief Cluster data.
 ** @param self KMeans object.
 ** @param data data to quantize.
 ** @param dimension data dimension.
 ** @param numData number of data points.
 ** @param numCenters number of clusters.
 ** @return K-means energy at the end of optimization.
 **
 ** The function initializes the centers by using the initialization
 ** algorithm set by ::vl_kmeans_set_initialization and refines them
 ** by the quantization algorithm set by ::vl_kmeans_set_algorithm.
 ** The process is repeated one or more times (see
 ** ::vl_kmeans_set_num_repetitions) and the resutl with smaller
 ** energy is retained.
 **/

VL_EXPORT double
vl_kmeans_cluster (VlKMeans * self,
                   void const * data,
                   vl_size dimension,
                   vl_size numData,
                   vl_size numCenters)
{
  vl_uindex repetition ;
  double bestEnergy = VL_INFINITY_D ;
  void * bestCenters = NULL ;

  for (repetition = 0 ; repetition < self->numRepetitions ; ++ repetition) {
    double energy ;
    double timeRef ;

    if (self->verbosity) {
      VL_PRINTF("kmeans: repetition %d of %d\n", repetition + 1, self->numRepetitions) ;
    }

    timeRef = vl_get_cpu_time() ;
    switch (self->initialization) {
      case VlKMeansRandomSelection :
        vl_kmeans_seed_centers_with_rand_data (self,
                                               data, dimension, numData,
                                               numCenters) ;
        break ;
      case VlKMeansPlusPlus :
        vl_kmeans_seed_centers_plus_plus (self,
                                          data, dimension, numData,
                                          numCenters) ;
        break ;
      default:
        abort() ;
    }

    if (self->verbosity) {
      VL_PRINTF("kmeans: K-means initialized in %.2f s\n",
                vl_get_cpu_time() - timeRef) ;
    }

    timeRef = vl_get_cpu_time () ;
    energy = vl_kmeans_refine_centers (self, data, numData) ;
    if (self->verbosity) {
      VL_PRINTF("kmeans: K-means termineted in %.2f s with energy %g\n",
                vl_get_cpu_time() - timeRef, energy) ;
    }

    /* copy centers to output if current solution is optimal */
    /* check repetition == 0 as well in case energy = NaN, which */
    /* can happen if the data contain NaNs */
    if (energy < bestEnergy || repetition == 0) {
      void * temp ;
      bestEnergy = energy ;

      if (bestCenters == NULL) {
        bestCenters = vl_malloc(vl_get_type_size(self->dataType) *
                                self->dimension *
                                self->numCenters) ;
      }

      /* swap buffers */
      temp = bestCenters ;
      bestCenters = self->centers ;
      self->centers = temp ;
    } /* better energy */
  } /* next repetition */

  vl_free (self->centers) ;
  self->centers = bestCenters ;
  return bestEnergy ;
}

/* VL_KMEANS_INSTANTIATING */
#endif

#undef SFX
#undef TYPE
#undef FLT
#undef VL_KMEANS_INSTANTIATING
vlfeat-0.9.16/vl/kmeans.h000066400000000000000000000226211203326130700151400ustar00rootroot00000000000000/** @file kmeans.h
 ** @brief K-means (@ref kmeans)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_KMEANS_H
#define VL_KMEANS_H

#include "generic.h"
#include "random.h"
#include "mathop.h"

/* ---------------------------------------------------------------- */

/** @brief K-means algorithms */

typedef enum _VlKMeansAlgorithm {
  VlKMeansLloyd,       /**< Lloyd algorithm */
  VlKMeansElkan,       /**< Elkan algorithm */
  VlKMeansANN          /**< Approximate nearest neighbors */
} VlKMeansAlgorithm ;

/** @brief K-means initialization algorithms */

typedef enum _VlKMeansInitialization {
  VlKMeansRandomSelection,  /**< Randomized selection */
  VlKMeansPlusPlus          /**< Plus plus raondomized selection */
} VlKMeansInitialization ;


/** ------------------------------------------------------------------
 ** @brief K-means quantizer
 **/

typedef struct _VlKMeans
{
  vl_type dataType ;                   /**< data type */
  vl_size dimension ;                  /**< data dimensionality */
  vl_size numCenters ;                 /**< number of centers   */

  VlKMeansInitialization initialization ; /** < Initalization algorithm */
  VlKMeansAlgorithm algorithm ;        /**< Clustring algorithm */
  VlVectorComparisonType distance ;    /**< Distance */
  vl_size maxNumIterations ;           /**< Maximum number of refinement iterations */
  vl_size numRepetitions   ;           /**< Number of clustering repetitions */
  int verbosity ;                      /**< verbosity level */

  void * centers ;                     /**< centers */
  void * centerDistances ;             /**< centers inter-distances */

  double energy ;                      /**< current solution energy */
  VlFloatVectorComparisonFunction floatVectorComparisonFn ;
  VlDoubleVectorComparisonFunction doubleVectorComparisonFn ;
} VlKMeans ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT VlKMeans * vl_kmeans_new (vl_type dataType, VlVectorComparisonType distance) ;
VL_EXPORT VlKMeans * vl_kmeans_new_copy (VlKMeans const * kmeans) ;
VL_EXPORT void vl_kmeans_delete (VlKMeans * self) ;
/** @} */

/** @name Basic data processing
 ** @{
 **/
VL_EXPORT void vl_kmeans_reset (VlKMeans * self) ;

VL_EXPORT double vl_kmeans_cluster (VlKMeans * self,
                                    void const * data,
                                    vl_size dimension,
                                    vl_size numData,
                                    vl_size numCenters) ;

VL_EXPORT void vl_kmeans_quantize (VlKMeans * self,
                                   vl_uint32 * assignments,
                                   void * distances,
                                   void const * data,
                                   vl_size numData) ;
/** @} */

/** @name Advanced data processing
 ** @{
 **/
VL_EXPORT void vl_kmeans_set_centers (VlKMeans * self,
                                      void const * centers,
                                      vl_size dimension,
                                      vl_size numCenters) ;

VL_EXPORT void vl_kmeans_seed_centers_with_rand_data
                  (VlKMeans * self,
                   void const * data,
                   vl_size dimensions,
                   vl_size numData,
                   vl_size numCenters) ;

VL_EXPORT void vl_kmeans_seed_centers_plus_plus
                  (VlKMeans * self,
                   void const * data,
                   vl_size dimensions,
                   vl_size numData,
                   vl_size numCenters) ;

VL_EXPORT double vl_kmeans_refine_centers (VlKMeans * self,
                                           void const * data,
                                           vl_size numData) ;

/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE vl_type vl_kmeans_get_data_type (VlKMeans const * self) ;
VL_INLINE VlVectorComparisonType vl_kmeans_get_distance (VlKMeans const * self) ;

VL_INLINE VlKMeansAlgorithm vl_kmeans_get_algorithm (VlKMeans const * self) ;
VL_INLINE VlKMeansInitialization vl_kmeans_get_initialization (VlKMeans const * self) ;
VL_INLINE vl_size vl_kmeans_get_num_repetitions (VlKMeans const * self) ;

VL_INLINE vl_size vl_kmeans_get_dimension (VlKMeans const * self) ;
VL_INLINE vl_size vl_kmeans_get_num_centers (VlKMeans const * self) ;

VL_INLINE int vl_kmeans_get_verbosity (VlKMeans const * self) ;
VL_INLINE vl_size vl_kmeans_get_max_num_iterations (VlKMeans const * self) ;
VL_INLINE double vl_kmeans_get_energy (VlKMeans const * self) ;
VL_INLINE void const * vl_kmeans_get_centers (VlKMeans const * self) ;
/** @} */

/** @name Set parameters
 ** @{
 **/
VL_INLINE void vl_kmeans_set_algorithm (VlKMeans * self, VlKMeansAlgorithm algorithm) ;
VL_INLINE void vl_kmeans_set_initialization (VlKMeans * self, VlKMeansInitialization initialization) ;
VL_INLINE void vl_kmeans_set_num_repetitions (VlKMeans * self, vl_size numRepetitions) ;
VL_INLINE void vl_kmeans_set_max_num_iterations (VlKMeans * self, vl_size maxNumIterations) ;
VL_INLINE void vl_kmeans_set_verbosity (VlKMeans * self, int verbosity) ;
/** @} */

/** ------------------------------------------------------------------
 ** @brief Get data type
 ** @param self KMeans object instance.
 ** @return data type.
 **/

VL_INLINE vl_type
vl_kmeans_get_data_type (VlKMeans const * self)
{
  return self->dataType ;
}

/** @brief Get data dimension
 ** @param self KMeans object instance.
 ** @return data dimension.
 **/

VL_INLINE vl_size
vl_kmeans_get_dimension (VlKMeans const * self)
{
  return self->dimension ;
}

/** @brief Get data type
 ** @param self KMeans object instance.
 ** @return data type.
 **/

VL_INLINE VlVectorComparisonType
vl_kmeans_get_distance (VlKMeans const * self)
{
  return self->distance ;
}

/** @brief Get the number of centers (K)
 ** @param self KMeans object instance.
 ** @return number of centers.
 **/

VL_INLINE vl_size
vl_kmeans_get_num_centers (VlKMeans const * self)
{
  return self->numCenters ;
}

/** @brief Get the number energy of the current fit
 ** @param self KMeans object instance.
 ** @return energy.
 **/

VL_INLINE double
vl_kmeans_get_energy (VlKMeans const * self)
{
  return self->energy ;
}

/** ------------------------------------------------------------------
 ** @brief Get verbosity level
 ** @param self KMeans object instance.
 ** @return verbosity level.
 **/

VL_INLINE int
vl_kmeans_get_verbosity (VlKMeans const * self)
{
  return self->verbosity ;
}

/** @brief Set verbosity level
 ** @param self KMeans object instance.
 ** @param verbosity verbosity level.
 **/

VL_INLINE void
vl_kmeans_set_verbosity (VlKMeans * self, int verbosity)
{
  self->verbosity = verbosity ;
}

/** ------------------------------------------------------------------
 ** @brief Get centers
 ** @param self KMeans object instance.
 ** @return cluster centers.
 **/

VL_INLINE void const *
vl_kmeans_get_centers (VlKMeans const * self)
{
  return self->centers ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of iterations
 ** @param self KMeans object instance.
 ** @return maximum number of iterations.
 **/

VL_INLINE vl_size
vl_kmeans_get_max_num_iterations (VlKMeans const * self)
{
  return self->maxNumIterations ;
}

/** @brief Set maximum number of iterations
 ** @param self KMeans filter.
 ** @param maxNumIterations maximum number of iterations.
 **/

VL_INLINE void
vl_kmeans_set_max_num_iterations (VlKMeans * self, vl_size maxNumIterations)
{
  self->maxNumIterations = maxNumIterations ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of repetitions.
 ** @param self KMeans object instance.
 ** @return current number of repretitions for quantization.
 **/

VL_INLINE vl_size
vl_kmeans_get_num_repetitions (VlKMeans const * self)
{
  return self->numRepetitions ;
}

/** @brief Set maximum number of repetitions
 ** @param self KMeans object instance.
 ** @param numRepetitions maximum number of repetitions.
 ** The number of repetitions cannot be smaller than 1.
 **/

VL_INLINE void
vl_kmeans_set_num_repetitions (VlKMeans * self,
                               vl_size numRepetitions)
{
  assert (numRepetitions >= 1) ;
  self->numRepetitions = numRepetitions ;
}

/** ------------------------------------------------------------------
 ** @brief Get K-means algorithm
 ** @param self KMeans object.
 ** @return algorithm.
 **/

VL_INLINE VlKMeansAlgorithm
vl_kmeans_get_algorithm (VlKMeans const * self)
{
  return self->algorithm ;
}

/** @brief Set K-means algorithm
 ** @param self KMeans object.
 ** @param algorithm K-means algorithm.
 **/

VL_INLINE void
vl_kmeans_set_algorithm (VlKMeans * self, VlKMeansAlgorithm algorithm)
{
  self->algorithm = algorithm ;
}

/** ------------------------------------------------------------------
 ** @brief Get K-means initialization algorithm
 ** @param self KMeans object.
 ** @return algorithm.
 **/

VL_INLINE VlKMeansInitialization
vl_kmeans_get_initialization (VlKMeans const * self)
{
  return self->initialization ;
}

/** @brief Set K-means initialization algorithm
 ** @param self KMeans object.
 ** @param initialization initialization.
 **/

VL_INLINE void
vl_kmeans_set_initialization (VlKMeans * self,
                              VlKMeansInitialization initialization)
{
  self->initialization = initialization ;
}


/* VL_IKMEANS_H */
#endif
vlfeat-0.9.16/vl/lbp.c000066400000000000000000000213061203326130700144310ustar00rootroot00000000000000/** @file lbp.c
 ** @brief Local Binary Patterns - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file lbp.h

::VlLbp implements the local binary pattern features.

An LBP feature [1] is a l2-normalized local histogram of quantized
local binary patterns (LBP).

@section lbp Local Binary Patterns

A LBP is a string of bit obtained by binarizing a local neighbourhood
of pixels with respect to the brightness of the central pixel.
::VlLbp implements only the case of 3x3 pixel neighbourhoods (this
setting perform best in applications).  Thus the LBP at location @f$
(x,y) @f$ is a string of eight bits. Each bit is equal to one if the
corresponding pixel is brighter than the central one.  Pixels are
scanned starting from the one to the right in anti-clockwise sense.
For example the first bit is one if, and only if, @f$ I(x+1,y) >
I(x,y), and the second bit if, and only if, @f$ I(x+1,y-1) > I(x,y).

@subsection lbp-quantization Quantized LBP

For a 3x3 neighborhood, an LBP is a string of eight bits and so there
are 256 possible LBPs. These are usually too many for a reliable
statistics (histogram) to be computed. Therefore the 256 patterns are
further quantized into a smaller number of patterns according to one
of the following rules:

- Uniform (::VlLbpUniform) There is one quantized pattern for
  each LBP that has exactly a transitions from 0 to 1 and one from 1
  to 0 when scanned in anti-clockwise order, plus one quantized
  pattern comprising the two uniform LBPs, and one quantized pattern
  comprising all the other LBPs. This yields a total of 58 quantized
  patterns.

The number of quantized LBPs, which depends on the quantization type,
can be obtained by ::vl_lbp_get_dimension.

@subsection lbp-histograms Histograms of LBPs

The quantized LBP patterns are further grouped into local
histograms. The image is divided into a number of cells of a
prescribed size (@c cellSize).  Then the quantized LBPs are aggregated
into histogram by using bilinear interpolation along the two spatial
dimensions (similar to HOG and SIFT).

@subsection lbp-usage Usage

First, one creates a ::VlLbp object instance by specifying the type of
quantization (this initializes some internal tables to speedup the
computation). Then, one obtains all the quantized LBPs histograms by
calling ::vl_lbp_process. This function expects as input a buffer
large enough to contain the computed features. If the image has size
@c width x @c height, there are exactly @c floor(width/cellSize) x @c
floor(height/cellSize) cells, each of which has a histogram of LBPs of
size @c dimension (as returned by ::vl_lbp_get_dimension). Thus the
required buffer has size @c floor(width/cellSize) x @c
floor(height/cellSize) x @c dimension.

::VlLbp supports computing transposed LPBs as well. A transposed LBP
is the LBP obtained by transposing the underlying image patch
(regarded as a matrix). This can be useful to compute the features
when the image is column major rather than row major.

@section lbp-references References

[1] T. Ojala, M. Pietikainen, and M. Maenpaa. "Multiresolution
    gray-scale and rotation invariant texture classification with
    local binary patterns". PAMI, 2010.

**/

#include "lbp.h"
#include "mathop.h"

/* ---------------------------------------------------------------- */
/*                                           Initialization helpers */
/* ---------------------------------------------------------------- */

static void
_vl_lbp_init_uniform(VlLbp * self)
{
  int i, j ;

  /* one bin for constant patterns, 8*7 for 2-uniform, one for rest */
  self->dimension = 58 ;

  /* all but selected patterns map to 57 */
  for (i = 0 ; i < 256 ; ++i) {
    self->mapping[i] = 57 ;
  }

  /* uniform patterns map to 56 */
  self->mapping[0x00] = 56 ;
  self->mapping[0xff] = 56 ;

  /* now uniform pattenrs, in order */
  /* locations: 0:E, 1:SE, 2:S, ..., 7:NE */
  for (i = 0 ; i < 8 ; ++i) { /* string[i-1]=0, string[i]=1 */
    for (j = 1 ; j <= 7 ; ++j) { /* length of sequence of ones */
      /* string starting with j ones */
      int unsigned string = (1 << j) - 1 ;
      /* put i zeroes in front */
      string <<= i ;
      /* wrap around 8 bit boundaries */
      string = (string | (string >> 8)) & 0xff ;

      /* optionally transpose the pattern */
      if (self->transposed) {
        int unsigned original = string;
        int k ;
        /* flip the string left-right */
        string = 0 ;
        for (k = 0 ; k < 8 ; ++k) {
          string <<= 1 ;
          string |= original & 0x1  ;
          original >>= 1 ;
        }
        /* rotate 90 degrees */
        string <<= 3 ;
        string = (string | (string >> 8)) & 0xff ;
      }

      self->mapping[string] = i * 7 + (j-1) ;
    }
  }
}

/* ---------------------------------------------------------------- */

/** @brief Create a new LBP object
 ** @param type type of LBP features.
 ** @param transposed if @c true, then transpose each LBP pattern.
 ** @return new VlLbp object instance.
 **/

VlLbp *
vl_lbp_new(VlLbpMappingType type, vl_bool transposed)
{
  VlLbp * self = vl_malloc(sizeof(VlLbp)) ;
  if (self == NULL) {
    vl_set_last_error(VL_ERR_ALLOC, NULL) ;
    return NULL ;
  }
  self->transposed = transposed ;
  switch (type) {
    case VlLbpUniform: _vl_lbp_init_uniform(self) ; break ;
    default: exit(1) ;
  }
  return self ;
}

/** @brief Delete VlLbp object
 ** @param self object to delete.
 **/

void
vl_lbp_delete(VlLbp * self) {
  vl_free(self) ;
}


/* ---------------------------------------------------------------- */

/** @brief Extract LBP features
 ** @param self LBP object.
 ** @param features buffer to write the features to.
 ** @param image image.
 ** @param width image width.
 ** @param height image height.
 ** @param cellSize size of the LBP cells.
 **
 ** @a features is a  @c numColumns x @c numRows x @c dimension where
 ** @c dimension is the dimension of a LBP feature obtained from ::vl_lbp_get_dimension,
 ** @c numColumns is equal to @c floor(width / cellSize), and similarly
 ** for @c numRows.
 **/

VL_EXPORT void
vl_lbp_process (VlLbp * self,
                float * features,
                float * image, vl_size width, vl_size height,
                vl_size cellSize)
{
  vl_size cwidth = width / cellSize;
  vl_size cheight = height / cellSize ;
  vl_size cstride = cwidth * cheight ;
  vl_size cdimension = vl_lbp_get_dimension(self) ;
  vl_index x,y,cx,cy,k,bin ;

#define at(u,v) (*(image + width * (v) + (u)))
#define to(u,v,w) (*(features + cstride * (w) + cwidth * (v) + (u)))

  /* accumulate pixel-level measurements into cells */
  for (y = 1 ; y < (signed)height - 1 ; ++y) {
    float wy1 = (y + 0.5f) / (float)cellSize - 0.5f ;
    int cy1 = (int) vl_floor_f(wy1) ;
    int cy2 = cy1 + 1 ;
    float wy2 = wy1 - (float)cy1 ;
    wy1 = 1.0f - wy2 ;
    if (cy1 >= (signed)cheight) continue ;

    for (x = 1 ; x < (signed)width - 1; ++x) {
      float wx1 = (x + 0.5f) / (float)cellSize - 0.5f ;
      int cx1 = (int) vl_floor_f(wx1) ;
      int cx2 = cx1 + 1 ;
      float wx2 = wx1 - (float)cx1 ;
      wx1 = 1.0f - wx2 ;
      if (cx1 >= (signed)cwidth) continue ;

      {
        int unsigned bitString = 0 ;
        float center = at(x,y) ;
        if(at(x+1,y+0) > center) bitString |= 0x1 << 0; /*  E */
        if(at(x+1,y+1) > center) bitString |= 0x1 << 1; /* SE */
        if(at(x+0,y+1) > center) bitString |= 0x1 << 2; /* S  */
        if(at(x-1,y+1) > center) bitString |= 0x1 << 3; /* SW */
        if(at(x-1,y+0) > center) bitString |= 0x1 << 4; /*  W */
        if(at(x-1,y-1) > center) bitString |= 0x1 << 5; /* NW */
        if(at(x+0,y-1) > center) bitString |= 0x1 << 6; /* N  */
        if(at(x+1,y-1) > center) bitString |= 0x1 << 7; /* NE */
        bin = self->mapping[bitString] ;
      }

      if ((cx1 >= 0) & (cy1 >=0)) {
        to(cx1,cy1,bin) += wx1 * wy1;
      }
      if ((cx2 < (signed)cwidth)  & (cy1 >=0)) {
        to(cx2,cy1,bin) += wx2 * wy1 ;
      }
      if ((cx1 >= 0) & (cy2 < (signed)cheight)) {
        to(cx1,cy2,bin) += wx1 * wy2 ;
      }
      if ((cx2 < (signed)cwidth) & (cy2 < (signed)cheight)) {
        to(cx2,cy2,bin) += wx2 * wy2 ;
      }
    } /* x */
  } /* y */

  /* normalize cells */
  for (cy = 0 ; cy < (signed)cheight ; ++cy) {
    for (cx = 0 ; cx < (signed)cwidth ; ++ cx) {
      float norm = 0 ;
      for (k = 0 ; k < (signed)cdimension ; ++k) {
        norm += features[k * cstride] ;
      }
      norm = sqrtf(norm) + 1e-10f; ;
      for (k = 0 ; k < (signed)cdimension ; ++k) {
        features[k * cstride] = sqrtf(features[k * cstride]) / norm  ;
      }
      features += 1 ;
    }
  } /* next cell to normalize */
}
vlfeat-0.9.16/vl/lbp.h000066400000000000000000000024071203326130700144370ustar00rootroot00000000000000/** @file lbp.h
 ** @brief Local Binary Patterns
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_LBP_H
#define VL_LBP_H

#include "generic.h"

/** @brief Type of quantization for LBP features */
typedef enum _VlLbpMappingType
{
  VlLbpUniform     /**< Uniform patterns */
} VlLbpMappingType ;

/** @brief Local Binary Pattern extractor */
typedef struct VlLbp_
{
  vl_size dimension ;
  vl_uint8 mapping [256] ;
  vl_bool transposed ;
} VlLbp ;

VL_EXPORT VlLbp * vl_lbp_new(VlLbpMappingType type, vl_bool transposed) ;
VL_EXPORT void vl_lbp_delete(VlLbp * self) ;
VL_EXPORT void vl_lbp_process (VlLbp * self,
                               float * features,
                               float * image, vl_size width, vl_size height,
                               vl_size cellSize) ;


/** @brief Get the dimension of the LBP histograms
 ** @return dimension of the LBP histograms.
 ** The dimension depends on the type of quantization used.
 ** @see ::vl_lbp_new().
 **/

VL_INLINE vl_size vl_lbp_get_dimension(VlLbp * self)
{
  return self->dimension ;
}

/* VL_LBP_H */
#endif
vlfeat-0.9.16/vl/mathop.c000066400000000000000000000551731203326130700151550ustar00rootroot00000000000000/** @file mathop.c
 ** @brief Math operations - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file mathop.h

 @section mathop-usage-vector-comparison Comparing vectors

 @ref mathop.h includes a number of functions to quickly compute
 distances or similarity of pairs of vector. Applications include
 clustering and evaluation of SVM-like classifiers.

 Use ::vl_get_vector_comparison_function_f or
 ::vl_get_vector_comparison_function_d obtain an approprite function
 to comprare vectors of floats or doubles, respectively.  Such
 functions are usually optimized (for instance, on X86 platforms they
 use the SSE vector extension) and are several times faster than a
 naive implementation.  ::vl_eval_vector_comparison_on_all_pairs_f and
 ::vl_eval_vector_comparison_on_all_pairs_d can be used to evaluate
 the comparison function on all pairs of one or two sequences of
 vectors.

 Let @f$ \mathbf{x} = (x_1,\dots,x_d) @f$ and @f$ \mathbf{y} =
 (y_1,\dots,y_d) @f$ be two vectors.  The following comparison
 functions are supported:

 
    
 
    
 @f$ l^1 @f$
 ::VlDistanceL1
 @f$ \sum_{i=1}^d |x_i - y_i| @f$
 l1 distance (squared intersection metric)
 
    
 
    
 @f$ l^2 @f$
 ::VlDistanceL2
 @f$\sum_{i=1}^d (x_i - y_i)^2@f$
 Squared Euclidean disance
 
    
 
    
 @f$ \chi^2 @f$
 ::VlDistanceChi2
 @f$\sum_{i=1}^d \frac{(x_i - y_i)^2}{x_i + y_i}@f$
 Squared chi-square distance
 
    
 
    
 -
 ::VlDistanceHellinger
 @f$\sum_{i=1}^d (\sqrt{x_i} - \sqrt{y_i})^2@f$
 Squared Hellinger's distance
 
    
 
    
 -
 ::VlDistanceJS
 @f$
 \sum_{i=1}^d
 \left(
   x_i \log\frac{2x_i}{x_i+y_i}
 + y_i \log\frac{2y_i}{x_i+y_i}
 \right)
 @f$
 
 Squared Jensen-Shannon distance
 
    
 
    
 @f$ l^1 @f$
 ::VlKernelL1
 @f$ \sum_{i=1}^d \min\{ x_i, y_i \} @f$
 intersection kernel
 
    
 
    
 @f$ l^2 @f$
 ::VlKernelL2
 @f$\sum_{i=1}^d x_iy_i @f$
 linear kernel
 
    
 
    
 @f$ \chi^2 @f$
 ::VlKernelChi2
 @f$\sum_{i=1}^d 2 \frac{x_iy_i}{x_i + y_i}@f$
 chi-square kernel
 
    
 
    
 -
 ::VlKernelHellinger
 @f$\sum_{i=1}^d 2 \sqrt{x_i y_i}@f$
 Hellinger's kernel (Bhattacharya coefficient)
 
    
 
    
 -
 ::VlKernelJS
 @f$
 \sum_{i=1}^d
 \left(
   \frac{x_i}{2} \log_2\frac{x_i+y_i}{x_i}
 + \frac{y_i}{2} \log_2\frac{x_i+y_i}{y_i}
 \right)
 @f$
 
 Jensen-Shannon kernel
 
    
 
    

 @remark The definitions have been choosen so that corresponding kernels and
 distances are related by the equation:
 @f[
  d^2(\mathbf{x},\mathbf{y})
  =
  k(\mathbf{x},\mathbf{x})
  +k(\mathbf{y},\mathbf{y})
  -k(\mathbf{x},\mathbf{y})
  -k(\mathbf{y},\mathbf{x})
 @f]
 This means that each of these distances can be interpreted as a
 squared distance or metric in the corresponding reproducing kernel
 Hilbert space. Notice in particular that the @f$ l^1 @f$ or Manhattan
 distance is also a squared distance in this sense.

 **/

/** @fn vl_get_vector_comparison_function_f(VlVectorComparisonType)
 **
 ** @brief Get vector comparison function from comparison type
 ** @param type vector comparison type.
 ** @return comparison function.
 **/

/** @fn vl_get_vector_comparison_function_d(VlVectorComparisonType)
 ** @brief Get vector comparison function from comparison type
 ** @sa vl_get_vector_comparison_function_f
 **/

/** @fn vl_eval_vector_comparison_on_all_pairs_f(float*,vl_size,
 **     float const*,vl_size,float const*,vl_size,VlFloatVectorComparisonFunction)
 **
 ** @brief Evaluate vector comparison function on all vector pairs
 ** @param result comparison matrix (output).
 ** @param dimension number of vector components (rows of @a X and @a Y).
 ** @param X data matrix X.
 ** @param Y data matrix Y.
 ** @param numDataX number of vectors in @a X (columns of @a X)
 ** @param numDataY number of vectros in @a Y (columns of @a Y)
 ** @param function vector comparison function.
 **
 ** The function evaluates @a function on all pairs of columns
 ** from matrices @a X and @a Y, filling a @a numDataX by @a numDataY
 ** matrix.
 **
 ** If @a Y is a null pointer the function compares all columns from
 ** @a X with themselves.
 **/

/** @fn vl_eval_vector_comparison_on_all_pairs_d(double*,vl_size,
 **     double const*,vl_size,double const*,vl_size,VlDoubleVectorComparisonFunction)
 ** @brief Evaluate vector comparison function on all vector pairs
 ** @sa vl_eval_vector_comparison_on_all_pairs_f
 **/

/* ---------------------------------------------------------------- */
#ifndef VL_MATHOP_INSTANTIATING

#include "mathop.h"
#include "mathop_sse2.h"
#include 

#undef FLT
#define FLT VL_TYPE_FLOAT
#define VL_MATHOP_INSTANTIATING
#include "mathop.c"

#undef FLT
#define FLT VL_TYPE_DOUBLE
#define VL_MATHOP_INSTANTIATING
#include "mathop.c"
#endif

/* ---------------------------------------------------------------- */
#ifdef VL_MATHOP_INSTANTIATING
#include "float.th"

#undef COMPARISONFUNCTION_TYPE
#if (FLT == VL_TYPE_FLOAT)
#  define COMPARISONFUNCTION_TYPE VlFloatVectorComparisonFunction
#else
#  define COMPARISONFUNCTION_TYPE VlDoubleVectorComparisonFunction
#endif

/* ---------------------------------------------------------------- */

VL_EXPORT T
VL_XCAT(_vl_distance_l2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T d = *X++ - *Y++ ;
    acc += d * d ;
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_l1_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T d = *X++ - *Y++ ;
    acc += VL_MAX(d, -d) ;
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_chi2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T delta = a - b ;
    T denom = (a + b) ;
    T numer = delta * delta ;
    if (denom) {
      T ratio = numer / denom ;
      acc += ratio ;
    }
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_hellinger_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
#if (FLT == VL_TYPE_FLOAT)
    acc += a + b - 2.0 * sqrtf (a*b) ;
#else
    acc += a + b - 2.0 * sqrt (a*b) ;
#endif
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_js_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T x = *X++ ;
    T y = *Y++ ;
    if (x) acc += x - x * VL_XCAT(vl_log2_,SFX)(1 + y/x) ;
    if (y) acc += y - y * VL_XCAT(vl_log2_,SFX)(1 + x/y) ;
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_l2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    acc += a * b ;
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_l1_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T a_ = VL_XCAT(vl_abs_, SFX) (a) ;
    T b_ = VL_XCAT(vl_abs_, SFX) (b) ;
    acc += a_ + b_ - VL_XCAT(vl_abs_, SFX) (a - b) ;
  }
  return acc / ((T)2) ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_chi2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T denom = (a + b) ;
    if (denom) {
      T numer = 2 * a * b ;
      T ratio = numer / denom ;
      acc += ratio ;
    }
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_hellinger_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
#if (FLT == VL_TYPE_FLOAT)
    acc += sqrtf (a*b) ;
#else
    acc += sqrt (a*b) ;
#endif
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_js_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T acc = 0.0 ;
  while (X < X_end) {
    T x = *X++ ;
    T y = *Y++ ;
    if (x) acc += x * VL_XCAT(vl_log2_,SFX)(1 + y/x) ;
    if (y) acc += y * VL_XCAT(vl_log2_,SFX)(1 + x/y) ;
  }
  return (T)0.5 * acc ;
}

/* ---------------------------------------------------------------- */

VL_EXPORT COMPARISONFUNCTION_TYPE
VL_XCAT(vl_get_vector_comparison_function_, SFX)(VlVectorComparisonType type)
{
  COMPARISONFUNCTION_TYPE function = 0 ;
  switch (type) {
    case VlDistanceL2        : function = VL_XCAT(_vl_distance_l2_,        SFX) ; break ;
    case VlDistanceL1        : function = VL_XCAT(_vl_distance_l1_,        SFX) ; break ;
    case VlDistanceChi2      : function = VL_XCAT(_vl_distance_chi2_,      SFX) ; break ;
    case VlDistanceHellinger : function = VL_XCAT(_vl_distance_hellinger_, SFX) ; break ;
    case VlDistanceJS        : function = VL_XCAT(_vl_distance_js_,        SFX) ; break ;
    case VlKernelL2          : function = VL_XCAT(_vl_kernel_l2_,          SFX) ; break ;
    case VlKernelL1          : function = VL_XCAT(_vl_kernel_l1_,          SFX) ; break ;
    case VlKernelChi2        : function = VL_XCAT(_vl_kernel_chi2_,        SFX) ; break ;
    case VlKernelHellinger   : function = VL_XCAT(_vl_kernel_hellinger_,   SFX) ; break ;
    case VlKernelJS          : function = VL_XCAT(_vl_kernel_js_,          SFX) ; break ;
    default: abort() ;
  }

#ifndef VL_DISABLE_SSE2
  /* if a SSE2 implementation is available, use it */
  if (vl_cpu_has_sse2() && vl_get_simd_enabled()) {
    switch (type) {
      case VlDistanceL2   : function = VL_XCAT(_vl_distance_l2_sse2_,   SFX) ; break ;
      case VlDistanceL1   : function = VL_XCAT(_vl_distance_l1_sse2_,   SFX) ; break ;
      case VlDistanceChi2 : function = VL_XCAT(_vl_distance_chi2_sse2_, SFX) ; break ;
      case VlKernelL2     : function = VL_XCAT(_vl_kernel_l2_sse2_,     SFX) ; break ;
      case VlKernelL1     : function = VL_XCAT(_vl_kernel_l1_sse2_,     SFX) ; break ;
      case VlKernelChi2   : function = VL_XCAT(_vl_kernel_chi2_sse2_,   SFX) ; break ;
      default: break ;
    }
  }
#endif

  return function ;
}

/* ---------------------------------------------------------------- */

VL_EXPORT void
VL_XCAT(vl_eval_vector_comparison_on_all_pairs_, SFX)
(T * result, vl_size dimension,
 T const * X, vl_size numDataX,
 T const * Y, vl_size numDataY,
 COMPARISONFUNCTION_TYPE function)
{
  vl_uindex xi ;
  vl_uindex yi ;

  if (dimension == 0) return ;
  if (numDataX == 0) return ;
  assert (X) ;

  if (Y) {
    if (numDataY == 0) return ;
    for (yi = 0 ; yi < numDataY ; ++ yi) {
      for (xi = 0 ; xi < numDataX ; ++ xi) {
        *result++ = (*function)(dimension, X, Y) ;
        X += dimension ;
      }
      X -= dimension * numDataX ;
      Y += dimension ;
    }
  } else {
    T * resultTransp = result ;
    Y = X ;
    for (yi = 0 ; yi < numDataX ; ++ yi) {
      for (xi = 0 ; xi <= yi ; ++ xi) {
        T z = (*function)(dimension, X, Y) ;
        X += dimension ;
        *result       = z ;
        *resultTransp = z ;
        result        += 1 ;
        resultTransp  += numDataX ;
      }
      X -= dimension * (yi + 1) ;
      Y += dimension ;
      result       += numDataX - (yi + 1) ;
      resultTransp += 1        - (yi + 1) * numDataX ;
    }
  }
}

/* VL_MATHOP_INSTANTIATING */
#endif


/* ---------------------------------------------------------------- */
/*                                               Numerical analysis */
/* ---------------------------------------------------------------- */

#ifndef VL_MATHOP_INSTANTIATING

/** @brief SVD of a 2x2 real matrix
 ** @param S 2x2 real diagonal matrix of the singular values (out).
 ** @param U first 2x2 real orthonormal matrix (out).
 ** @param V second 2x2 real orthonormal matrix (out).
 ** @param M 2x2 matrix.
 **
 ** The function comptues the SVD decomposition of the 2x2
 ** real matrix @f$ M @f$:
 ** @f[
 **    M = U \operatorname S V^\top
 ** @f]
 ** where @f$ U @f$ and @f$ V @f$ are real orthonormal matrices
 ** and @f$ S @f$ is the diagonal matrix of the singular values
 ** in decreasing order.
 **
 ** @par Algorithm
 **
 ** The fist step is to find rotation matrices @f$ U_1 @f$ and
 ** @f$ V_1 @f$ such taht
 ** @f[
 **     M = U_1 R V_1^\top, \quad
 **     U_1 = \begin{barray} c_{u1} & - s_{u1} \\ s_{u1} & c_{u1} \end{barray}, \quad
 **     V_1 = \begin{barray} c_{v1} & - s_{v1} \\ s_{v1} & c_{v1} \end{barray}, \quad
 **     R = \begin{barray} f & g \\ 0 & h \end{barray}.
 ** @f]
 ** Gives a 2x2 triangular matrix. The second step is to call
 ** ::vl_lapack_dlasv2 on the matrix @f$ R @f$ obtaining
 ** @f[
 **   M = U_1 (U_2 S V_2^\top) V_2.
 ** @f]
 **/

void
vl_svd2 (double* S, double *U, double *V, double const *M)
{
  double m11 = M[0] ;
  double m21 = M[1] ;
  double m12 = M[2] ;
  double m22 = M[3] ;
  double cu1 = m11 ;
  double su1 = m21 ;
  double norm = sqrt(cu1*cu1 + su1*su1) ;
  double cu2, su2, cv2, sv2 ;
  double f, g, h ;
  double smin, smax ;
  cu1 /= norm ;
  su1 /= norm ;

  f = cu1 * m11 + su1 * m21 ;
  g = cu1 * m12 + su1 * m22 ;
  h = - su1 * m12 + cu1 * m22 ;

  vl_lapack_dlasv2 (&smin, &smax,
                    &sv2, &cv2,
                    &su2, &cu2,
                    f, g, h) ;

  assert(S) ;
  S[0] = smax ;
  S[1] = 0 ;
  S[2] = 0 ;
  S[3] = smin ;

  if (U) {
    U[0] = cu2*cu1 - su2*su1 ;
    U[1] = su2*cu1 + cu2*su1 ;
    U[2] = - cu2*su1 - su2*cu1 ;
    U[3] = - su2*su1 + cu2*cu1 ;
  }
  if (V) {
    V[0] = cv2 ;
    V[1] = sv2 ;
    V[2] = - sv2 ;
    V[3] = cv2 ;
  }
}

/** @brief SVD of a 2x2 upper triangular matrix (LAPACK @c dlasv2 equivalent)
 ** @param smin smallest (in modulus) singular value (out).
 ** @param smax largest (in modulus) singuarl value (out).
 ** @param sv second component of the right singular vector of @c smax (out).
 ** @param cv first component of the right singular vector of @c smax (out).
 ** @param su second component of the left singular vector of @c smax (out).
 ** @param cu first component of the left singular vector of @c smax (out).
 ** @param f first entry of the upper triangular matrix.
 ** @param g second entry of the upper triangular matrix.
 ** @param h third entry of the upper triangular matrix.
 **
 ** @f[
 **  \begin{bmatrix} f & g \\ 0 & h \end{bmatrix}
 **  =
 **  \begin{bmatrix} cv & - sv \\ sv & cv \end{bmatrix}
 **  \begon{bmatrix} smax & 0 \\ 0 & smin \end{bmatrix}
 **  \begin{bmatrix} cv & - sv \\ sv & cv \end{bmatrix}
 ** @f]
 **
 ** Z.Bai and J.Demmel,
 ** "Computing the Generalized Singular Value Decomposition",
 ** SIAM J. Sci. Comput., Vol. 14, No. 6, pp. 1464-1486, November 1993
 **/

#define isign(i) ((i)<0 ? (-1) : (+1))  /* integer sign function */
#define sign(x) ((x)<0.0 ? (-1) : (+1)) /* double sign function */

void
vl_lapack_dlasv2 (double *smin,
                  double *smax,
                  double *sv,
                  double *cv,
                  double *su,
                  double *cu,
                  double f,
                  double g,
                  double h)
{
  double svt, cvt, sut, cut; /* temporary sv, cv, su, and cu */
  double ft = f, gt = g, ht = h; /* temporary f, g, h */
  double fa = fabs(f), ga = fabs(g), ha = fabs(h); /* |f|, |g|, and |h| */
  int pmax = 1 ; /* pointer to max abs entry */
  int swap = 0 ; /* is swapped */
  int glarge = 0 ; /* is g very large */
  int tsign ; /* tmp sign */
  double fmh ; /* |f| -|h| */
  double d ; /* (|f| -|h|)/|f| */
  double dd ; /* d*d */
  double q ; /* g/f */
  double qq ; /* q*q */
  double s ; /* (|f| + |h|)/|f| */
  double ss ; /* s*s */
  double spq ; /* sqrt(ss + qq) */
  double dpq ; /* sqrt(dd + qq) */
  double a ; /* (spq + dpq)/2 */
  double tmp ; /* temporaries */
  double tt;

  /* make fa >= ha */
  if (fa < ha) {
    pmax = 3 ;
    tmp =ft ; ft = ht ; ht = tmp ; /* swap ft and ht */
    tmp =fa ; fa = ha ; ha = tmp ; /* swap fa and ha */
    swap = 1 ;
  }

  if (ga == 0.0) { /* diagonal */
    *smin = ha ;
    *smax = fa ;
    /* identity matrix */
    cut = 1.0 ; sut = 0.0 ;
    cvt = 1.0 ; svt = 0.0 ;
  }
  else { /* not diagonal */
    if (ga > fa) { /* g is the largest entry */
      pmax = 2 ;
      if ((fa / ga) < VL_EPSILON_D) { /* g is very large */
        glarge = 1 ;
        *smax = ga ; /* 1 ulp */
        if (ha > 1.0) {
          *smin = fa / (ga / ha) ; /* 2 ulps */
        } else {
          *smin = (fa / ga) * ha ; /* 2 ulps */
        }
        cut = 1.0 ; sut = ht / gt ;
        cvt = 1.0 ; svt = ft / gt ;
      }
    }

    if (glarge == 0) { /* normal case */
      fmh = fa - ha ; /* 1ulp */
      if (fmh == fa) {  /* cope with infinite f or h */
        d = 1.0 ;
      } else {
        d = fmh / fa ; /* note 0<=d<=1.0, 2 ulps */
      }
      q = gt / ft ; /* note |q|<1/EPS, 1 ulp */
      s = 2.0 - d ; /* note s>=1.0, 3 ulps */
      dd = d*d ;
      qq = q*q ;
      ss = s*s ;
      spq = sqrt(ss + qq) ; /* note 1<=spq<=1+1/EPS, 5 ulps */
      if (d == 0.0) {
        dpq = fabs(q) ; /* 0 ulp */
      } else {
        dpq = sqrt(dd + qq) ; /* note 0<=dpq<=1+1/EPS, 3.5 ulps */
      }
      a = 0.5 * (spq + dpq) ; /* note 1<=a<=1 + |q|, 6 ulps */
      *smin = ha / a; /* 7 ulps */
      *smax = fa * a; /* 7 ulps */
      if (qq==0.0) { /* qq underflow */
        if (d==0.0) {
          tmp = sign(ft)*2*sign(gt); /* 0ulp */
        }
        else {
          tmp = gt/(sign(ft)*fmh) + q/s; /* 6 ulps */
        }
      } else {
        tmp = (q/(spq + s) + q/(dpq + d))*(1.0 + a);  /* 17 ulps */
      }
      /* if qq */
      tt = sqrt(tmp*tmp + 4.0) ; /* 18.5 ulps */
      cvt = 2.0 / tt ; /* 19.5 ulps */
      svt = tmp / tt ; /* 36.5 ulps */
      cut = (cvt + svt*q) / a ; /* 46.5 ulps */
      sut = (ht / ft) * svt / a ; /* 45.5 ulps */
    } /* if g not large */
  } /* if ga */
  if (swap == 1) {
    *cu = svt ; *su = cvt ;
    *cv = sut ; *sv = cut ;
  } else {
    *cu = cut ; *su = sut ;
    *cv = cvt ; *sv = svt ;
  }
  /* correct the signs of smax and smin */
  if (pmax==1) { tsign = sign(*cv) * sign(*cu) * sign(f) ; }
  if (pmax==2) { tsign = sign(*sv) * sign(*cu) * sign(g) ; }
  if (pmax==3) { tsign = sign(*sv) * sign(*su) * sign(h) ; }
  *smax = isign(tsign) * (*smax);
  *smin = isign(tsign * sign(f) * sign(h)) * (*smin) ;
}


/** @brief Solve a 3x3 linear system
 ** @param x result.
 ** @param A system matrix.
 ** @param b coefficients.
 **
 ** The function computes a solution to @f$ Ax =b @f$ for a 3x3
 ** matrix.
 **/

VL_EXPORT int
vl_solve_linear_system_3 (double * x, double const * A, double const *b)
{
  int err ;
  double M[3*4] ;
  M[0] = A[0] ;
  M[1] = A[1] ;
  M[2] = A[2] ;
  M[3] = A[3] ;
  M[4] = A[4] ;
  M[5] = A[5] ;
  M[6] = A[6] ;
  M[7] = A[7] ;
  M[8] = A[8] ;
  M[9] = b[0] ;
  M[10] = b[1] ;
  M[11] = b[2] ;
  err = vl_gaussian_elimination(M,3,4) ;
  x[0] = M[9] ;
  x[1] = M[10] ;
  x[2] = M[11] ;
  return err ;
}

/** @brief Solve a 2x2 linear system
 ** @param x result.
 ** @param A system matrix.
 ** @param b coefficients.
 **
 ** The function computes a solution to @f$ Ax =b @f$ for a 2x2
 ** matrix.
 **/

VL_EXPORT int
vl_solve_linear_system_2 (double * x, double const * A, double const *b)
{
  int err ;
  double M[2*3] ;
  M[0] = A[0] ;
  M[1] = A[1] ;
  M[2] = A[2] ;
  M[3] = A[3] ;
  M[4] = b[0];
  M[5] = b[1] ;
  err = vl_gaussian_elimination(M,2,3) ;
  x[0] = M[4] ;
  x[1] = M[5] ;
  return err ;
}

/** @brief Gaussian elimination
 ** @param M matrix.
 ** @param numRows number of rows of @c M.
 ** @param numColumns number of columns of @c M.
 **
 ** The function runs Gaussian elimination with pivoting
 ** on the matrix @a M in place.
 ** @c numRows must be not larger than @c numColumns.
 **
 ** Let @f$ M = [A, b] @f$ to obtain the solution to the linear
 ** system @f$ Ax=b @f$ (as the last column of @c M after
 ** elimination).
 **
 ** Let @f$ M = [A, I] @f$ to compute the inverse of @c A in
 ** a similar manner.
 **/

VL_EXPORT vl_bool
vl_gaussian_elimination (double * A, vl_size numRows, vl_size numColumns)
{
  vl_index i, j, ii, jj ;
  assert(A) ;
  assert(numRows <= numColumns) ;

#define Aat(i,j) A[(i) + (j)*numRows]

  /* Gauss elimination */
  for(j = 0 ; j < (signed)numRows ; ++j) {
    double maxa = 0 ;
    double maxabsa = 0 ;
    vl_index maxi = -1 ;
    double tmp ;

#if 0
    {
      vl_index iii, jjj ;
      for (iii = 0 ; iii < 2 ; ++iii) {
        for (jjj = 0 ; jjj < 3 ; ++jjj) {
          VL_PRINTF("%5.2g ", Aat(iii,jjj)) ;

        }
        VL_PRINTF("\n") ;
      }
      VL_PRINTF("\n") ;
    }
#endif

    /* look for the maximally stable pivot */
    for (i = j ; i < (signed)numRows ; ++i) {
      double a = Aat(i,j) ;
      double absa = vl_abs_d (a) ;
      if (absa > maxabsa) {
        maxa = a ;
        maxabsa = absa ;
        maxi = i ;
      }
    }
    i = maxi ;

    /* if singular give up */
    if (maxabsa < 1e-10) return VL_ERR_OVERFLOW ;

    /* swap j-th row with i-th row and normalize j-th row */
    for(jj = j ; jj < (signed)numColumns ; ++jj) {
      tmp = Aat(i,jj) ; Aat(i,jj) = Aat(j,jj) ; Aat(j,jj) = tmp ;
      Aat(j,jj) /= maxa ;
    }

#if 0
    {
      vl_index iii, jjj ;
      VL_PRINTF("after swap %d %d\n", j, i);
      for (iii = 0 ; iii < 2 ; ++iii) {
        for (jjj = 0 ; jjj < 3 ; ++jjj) {
          VL_PRINTF("%5.2g ", Aat(iii,jjj)) ;

        }
        VL_PRINTF("\n") ;
      }
      VL_PRINTF("\n") ;
    }
#endif

    /* elimination */
    for (ii = j+1 ; ii < (signed)numRows ; ++ii) {
      double x = Aat(ii,j) ;
      for (jj = j ; jj < (signed)numColumns ; ++jj) {
        Aat(ii,jj) -= x * Aat(j,jj) ;
      }
    }

#if 0
    {
      VL_PRINTF("after elimination\n");

      vl_index iii, jjj ;
      for (iii = 0 ; iii < 2 ; ++iii) {
        for (jjj = 0 ; jjj < 3 ; ++jjj) {
          VL_PRINTF("%5.2g ", Aat(iii,jjj)) ;

        }
        VL_PRINTF("\n") ;
      }
      VL_PRINTF("\n") ;
    }
#endif

  }

  /* backward substitution */
  for (i = numRows - 1 ; i > 0 ; --i) {
    /* substitute in all rows above */
    for (ii = i - 1 ; ii >= 0 ; --ii) {
      double x = Aat(ii,i) ;
      /* j = numRows */
      for (j = numRows ; j < (signed)numColumns ; ++j) {
        Aat(ii,j) -= x * Aat(i,j) ;
      }
    }
  }

#if 0
  {
    VL_PRINTF("after substitution\n");

    vl_index iii, jjj ;
    for (iii = 0 ; iii < 2 ; ++iii) {
      for (jjj = 0 ; jjj < 3 ; ++jjj) {
        VL_PRINTF("%5.2g ", Aat(iii,jjj)) ;

      }
      VL_PRINTF("\n") ;
    }
    VL_PRINTF("\n") ;
  }
#endif


  return VL_ERR_OK ;
}


/* VL_MATHOP_INSTANTIATING */
#endif

#undef VL_MATHOP_INSTANTIATING
vlfeat-0.9.16/vl/mathop.h000066400000000000000000000413501203326130700151520ustar00rootroot00000000000000/** @file mathop.h
 ** @brief Math operations
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_MATHOP_H
#define VL_MATHOP_H

#include "generic.h"
#include 

/** @brief Logarithm of 2 (math constant)*/
#define VL_LOG_OF_2 0.693147180559945

/** @brief Pi (math constant) */
#define VL_PI 3.141592653589793

/** @brief IEEE single precision epsilon (math constant)
 **
 ** 1.0F + VL_EPSILON_F is the smallest representable
 ** single precision number greater than @c 1.0F. Numerically,
 ** ::VL_EPSILON_F is equal to @f$ 2^{-23} @f$.
 **
 **/
#define VL_EPSILON_F 1.19209290E-07F

/** @brief IEEE double precision epsilon (math constant)
 **
 ** 1.0 + VL_EPSILON_D is the smallest representable
 ** double precision number greater than @c 1.0. Numerically,
 ** ::VL_EPSILON_D is equal to @f$ 2^{-52} @f$.
 **/
#define VL_EPSILON_D 2.220446049250313e-16

/*
   For the code below: An ANSI C compiler takes the two expressions,
   LONG_VAR and CHAR_VAR, and implicitly casts them to the type of the
   first member of the union. Refer to K&R Second Edition Page 148,
   last paragraph.
*/

/** @internal @brief IEEE single precision quiet NaN constant */
static union { vl_uint32 raw ; float value ; }
  const vl_nan_f =
    { 0x7FC00000UL } ;

/** @internal @brief IEEE single precision infinity constant */
static union { vl_uint32 raw ; float value ; }
  const vl_infinity_f =
    { 0x7F800000UL } ;

/** @internal @brief IEEE double precision quiet NaN constant */
static union { vl_uint64 raw ; double value ; }
  const vl_nan_d =
#ifdef VL_COMPILER_MSC
    { 0x7FF8000000000000ui64 } ;
#else
    { 0x7FF8000000000000ULL } ;
#endif

/** @internal @brief IEEE double precision infinity constant */
static union { vl_uint64 raw ; double value ; }
  const vl_infinity_d =
#ifdef VL_COMPILER_MSC
    { 0x7FF0000000000000ui64 } ;
#else
    { 0x7FF0000000000000ULL } ;
#endif

/** @brief IEEE single precision NaN (not signaling) */
#define VL_NAN_F (vl_nan_f.value)

/** @brief IEEE single precision positive infinity (not signaling) */
#define VL_INFINITY_F (vl_infinity_f.value)

/** @brief IEEE double precision NaN (not signaling) */
#define VL_NAN_D (vl_nan_d.value)

/** @brief IEEE double precision positive infinity (not signaling) */
#define VL_INFINITY_D (vl_infinity_d.value)

/* ---------------------------------------------------------------- */

/** @brief Fast mod(x, 2 * VL_PI)
 **
 ** @param x input value.
 ** @return mod(x, 2 * VL_PI)
 **
 ** The function is optimized for small absolute values of @a x.
 **
 ** The result is guaranteed to be not smaller than 0. However, due to
 ** finite numerical precision and rounding errors, the result can be
 ** equal to 2 * VL_PI (for instance, if @c x is a very small negative
 ** number).
 **/

VL_INLINE float
vl_mod_2pi_f (float x)
{
  while (x > (float)(2 * VL_PI)) x -= (float) (2 * VL_PI) ;
  while (x < 0.0F) x += (float) (2 * VL_PI);
  return x ;
}

/** @brief Fast mod(x, 2 * VL_PI)
 ** @see vl_mod_2pi_f
 **/

VL_INLINE double
vl_mod_2pi_d (double x)
{
  while (x > 2.0 * VL_PI) x -= 2 * VL_PI ;
  while (x < 0.0) x += 2 * VL_PI ;
  return x ;
}

/** @brief Floor and convert to integer
 ** @param x argument.
 ** @return Similar to @c (int) floor(x)
 **/

VL_INLINE long int
vl_floor_f (float x)
{
  long int xi = (long int) x ;
  if (x >= 0 || (float) xi == x) return xi ;
  else return xi - 1 ;
}

/** @brief Floor and convert to integer
 ** @see vl_floor_f
 **/

VL_INLINE long int
vl_floor_d (double x)
{
  long int xi = (long int) x ;
  if (x >= 0 || (double) xi == x) return xi ;
  else return xi - 1 ;
}

/** @brief Ceil and convert to integer
 ** @param x argument.
 ** @return @c lceilf(x)
 **/

VL_INLINE long int
vl_ceil_f (float x)
{
#ifdef VL_COMPILER_GNUC
  return (long int) __builtin_ceilf(x) ;
#else
  return (long int) ceilf(x) ;
#endif
}

/** @brief Ceil and convert to integer
 ** @see vl_ceil_f
 **/

VL_INLINE long int
vl_ceil_d (double x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_ceil(x) ;
#else
  return (long int) ceil(x) ;
#endif
}

/** @brief Round
 ** @param x argument.
 ** @return @c lroundf(x)
 ** This function is either the same or similar to C99 @c lroundf().
 **/

VL_INLINE long int
vl_round_f (float x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_lroundf(x) ;
#elif VL_COMPILER_MSC
  if (x >= 0.0F) {
    return vl_floor_f(x + 0.5F) ;
  } else {
    return vl_ceil_f(x - 0.5F) ;
  }
#else
  return lroundf(x) ;
#endif
}

/** @brief Round
 ** @param x argument.
 ** @return @c lround(x)
 ** This function is either the same or similar to C99 @c lround().
 **/

VL_INLINE long int
vl_round_d (double x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_lround(x) ;
#elif VL_COMPILER_MSC
  if (x >= 0.0) {
    return vl_floor_d(x + 0.5) ;
  } else {
    return vl_ceil_d(x - 0.5) ;
  }
#else
  return lround(x) ;
#endif
}

/** @brief Fast @c abs(x)
 ** @param x argument.
 ** @return @c abs(x)
 **/

VL_INLINE float
vl_abs_f (float x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_fabsf (x) ;
#else
  return fabsf(x) ;
#endif
}

/** @brief Fast @c abs(x)
 ** @sa vl_abs_f
 **/

VL_INLINE double
vl_abs_d (double x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_fabs (x) ;
#else
  return fabs(x) ;
#endif
}

VL_INLINE double
vl_log2_d (double x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_log2(x) ;
#elif VL_COMPILER_MSC
  return log(x) / 0.693147180559945 ;
#else
  return log2(x) ;
#endif
}

VL_INLINE float
vl_log2_f (float x)
{
#ifdef VL_COMPILER_GNUC
  return __builtin_log2f (x) ;
#elif VL_COMPILER_MSC
  return logf(x) / 0.6931472F ;
#else
  return log2(x) ;
#endif
}

/** ------------------------------------------------------------------
 ** @brief Fast @c atan2 approximation
 ** @param y argument.
 ** @param x argument.
 **
 ** The function computes a relatively rough but fast approximation of
 ** @c atan2(y,x).
 **
 ** @par Algorithm
 **
 ** The algorithm approximates the function @f$ f(r)=atan((1-r)/(1+r))
 ** @f$, @f$ r \in [-1,1] @f$ with a third order polynomial @f$
 ** f(r)=c_0 + c_1 r + c_2 r^2 + c_3 r^3 @f$.  To fit the polynomial
 ** we impose the constraints
 **
 ** @f{eqnarray*}
 ** f(+1) &=& c_0 + c_1 + c_2 + c_3  = atan(0)       = 0,\\
 ** f(-1) &=& c_0 - c_1 + c_2 - c_3  = atan(\infty)  = \pi/2,\\
 ** f(0)  &=& c_0                    = atan(1)       = \pi/4.
 ** @f}
 **
 ** The last degree of freedom is fixed by minimizing the @f$
 ** l^{\infty} @f$ error, which yields
 **
 ** @f[
 ** c_0=\pi/4, \quad
 ** c_1=-0.9675, \quad
 ** c_2=0, \quad
 ** c_3=0.1821,
 ** @f]
 **
 ** with maximum error of 0.0061 radians at 0.35 degrees.
 **
 ** @return Approximation of @c atan2(y,x).
 **/

VL_INLINE float
vl_fast_atan2_f (float y, float x)
{
  float angle, r ;
  float const c3 = 0.1821F ;
  float const c1 = 0.9675F ;
  float abs_y    = vl_abs_f (y) + VL_EPSILON_F ;

  if (x >= 0) {
    r = (x - abs_y) / (x + abs_y) ;
    angle = (float) (VL_PI / 4) ;
  } else {
    r = (x + abs_y) / (abs_y - x) ;
    angle = (float) (3 * VL_PI / 4) ;
  }
  angle += (c3*r*r - c1) * r ;
  return (y < 0) ? - angle : angle ;
}

/** @brief Fast @c atan2 approximation
 ** @sa vl_fast_atan2_f
 **/

VL_INLINE double
vl_fast_atan2_d (double y, double x)
{
  double angle, r ;
  double const c3 = 0.1821 ;
  double const c1 = 0.9675 ;
  double abs_y = vl_abs_d (y) + VL_EPSILON_D ;

  if (x >= 0) {
    r = (x - abs_y) / (x + abs_y) ;
    angle = VL_PI / 4 ;
  } else {
    r = (x + abs_y) / (abs_y - x) ;
    angle = 3 * VL_PI / 4 ;
  }
  angle += (c3*r*r - c1) * r ;
  return (y < 0) ? - angle : angle ;
}

/** ------------------------------------------------------------------
 ** @brief Fast @c resqrt approximation
 ** @param x argument.
 ** @return approximation of @c resqrt(x).
 **
 ** The function quickly computes an approximation of @f$ x^{-1/2}
 ** @f$.
 **
 ** @par Algorithm
 **
 ** The goal is to compute @f$ y = x^{-1/2} @f$, which we do by
 ** finding the solution of @f$ 0 = f(y) = y^{-2} - x @f$ by two Newton
 ** steps. Each Newton iteration is given by
 **
 ** @f[
 **   y \leftarrow
 **   y - \frac{f(y)}{\frac{df(y)}{dy}} =
 **   y + \frac{1}{2} (y-xy^3) =
 **   \frac{y}{2} \left( 3 - xy^2 \right)
 ** @f]
 **
 ** which yields a simple polynomial update rule.
 **
 ** The clever bit (attributed to either J. Carmack or G. Tarolli) is
 ** the way an initial guess @f$ y \approx x^{-1/2} @f$ is chosen.
 **
 ** @see Inverse Sqare Root.
 **
 **/

VL_INLINE float
vl_fast_resqrt_f (float x)
{
  /* 32-bit version */
  union {
    float x ;
    vl_int32  i ;
  } u ;

  float xhalf = (float) 0.5 * x ;

  /* convert floating point value in RAW integer */
  u.x = x ;

  /* gives initial guess y0 */
  u.i = 0x5f3759df - (u.i >> 1);
  /*u.i = 0xdf59375f - (u.i>>1);*/

  /* two Newton steps */
  u.x = u.x * ( (float) 1.5  - xhalf*u.x*u.x) ;
  u.x = u.x * ( (float) 1.5  - xhalf*u.x*u.x) ;
  return u.x ;
}

/** @brief Fast @c resqrt approximation
 ** @sa vl_fast_resqrt_d
 **/

VL_INLINE double
vl_fast_resqrt_d (double x)
{
  /* 64-bit version */
  union {
    double x ;
    vl_int64  i ;
  } u ;

  double xhalf = (double) 0.5 * x ;

  /* convert floating point value in RAW integer */
  u.x = x ;

  /* gives initial guess y0 */
#ifdef VL_COMPILER_MSC
  u.i = 0x5fe6ec85e7de30dai64 - (u.i >> 1) ;
#else
  u.i = 0x5fe6ec85e7de30daLL - (u.i >> 1) ;
#endif

  /* two Newton steps */
  u.x = u.x * ( (double) 1.5  - xhalf*u.x*u.x) ;
  u.x = u.x * ( (double) 1.5  - xhalf*u.x*u.x) ;
  return u.x ;
}

/** ------------------------------------------------------------------
 ** @brief Fast @c sqrt approximation
 ** @param x argument.
 ** @return approximation of @c sqrt(x).
 **
 ** The function computes a cheap approximation of @c sqrt(x).
 **
 ** @par Floating-point algorithm
 **
 ** For the floating point cases, the function uses ::vl_fast_resqrt_f
 ** (or ::vl_fast_resqrt_d) to compute x *
 ** vl_fast_resqrt_f(x).
 **
 ** @par Integer algorithm
 **
 ** We seek for the largest integer @e y such that @f$ y^2 \leq x @f$.
 ** Write @f$ y = w + b_k 2^k + z @f$ where the binary expansion of the
 ** various variable is
 **
 ** @f[
 **  x = \sum_{i=0}^{n-1} 2^i a_i, \qquad
 **  w = \sum_{i=k+1}^{m-1} 2^i b_i, \qquad
 **  z = \sum_{i=0}^{k-1} 2^i b_i.
 ** @f]
 **
 ** Assume @e w known. Expanding the square and using the fact that
 ** @f$ b_k^2=b_k @f$, we obtain the following constraint for @f$ b_k
 ** @f$ and @e z:
 **
 ** @f[
 **    x - w^2 \geq 2^k ( 2 w + 2^k ) b_k + z (z + 2wz + 2^{k+1}z b_k)
 ** @f]
 **
 ** A necessary condition for @f$ b_k = 1 @f$ is that this equation is
 ** satisfied for @f$ z = 0 @f$ (as the second term is always
 ** non-negative). In fact, this condition is also sufficient, since
 ** we are looking for the @e largest solution @e y.
 **
 ** This yields the following iterative algorithm. First, note that if
 ** @e x is stored in @e n bits, where @e n is even, then the integer
 ** square root does not require more than @f$ m = n / 2 @f$ bit to be
 ** stored.  Thus initially, @f$ w = 0 @f$ and @f$ k = m - 1 = n/2 - 1
 ** @f$. Then, at each iteration the equation is tested, determining
 ** @f$ b_{m-1}, b_{m-2}, ... @f$ in this order.
 **/

VL_INLINE float
vl_fast_sqrt_f (float x)
{
  return (x < 1e-8) ? 0 : x * vl_fast_resqrt_f (x) ;
}

/** @brief Fast @c sqrt approximation
 ** @sa vl_fast_sqrt_f
 **/

VL_INLINE double
vl_fast_sqrt_d (float x)
{
  return (x < 1e-8) ? 0 : x * vl_fast_resqrt_d (x) ;
}

/** @brief Fast @c sqrt approximation
 ** @sa vl_fast_sqrt_f
 **/

VL_INLINE vl_uint32 vl_fast_sqrt_ui32 (vl_uint32 x) ;

/** @brief Fast @c sqrt approximation
 ** @sa vl_fast_sqrt_f
 **/

VL_INLINE vl_uint16 vl_fast_sqrt_ui16 (vl_uint16 x) ;

/** @brief Fast @c sqrt approximation
 ** @sa vl_fast_sqrt_f
 **/

VL_INLINE vl_uint8  vl_fast_sqrt_ui8  (vl_uint8  x) ;

#define VL_FAST_SQRT_UI(T,SFX)                                       \
  VL_INLINE T                                                        \
  vl_fast_sqrt_ ## SFX (T x)                                         \
{                                                                    \
    T y = 0 ; /* w / 2^k */                                          \
    T tmp = 0 ;                                                      \
    int twok ;                                                       \
                                                                     \
    for (twok = 8 * sizeof(T) - 2 ;                                  \
         twok >= 0 ; twok -= 2) {                                    \
      y <<= 1 ; /* y = 2 * y */                                      \
      tmp = (2*y + 1) << twok ;                                      \
      if (x >= tmp) {                                                \
        x -= tmp ;                                                   \
        y += 1 ;                                                     \
      }                                                              \
    }                                                                \
    return y ;                                                       \
  }

VL_FAST_SQRT_UI(vl_uint32,ui32)
VL_FAST_SQRT_UI(vl_uint16,ui16)
VL_FAST_SQRT_UI(vl_uint8,ui8)

/* ---------------------------------------------------------------- */
/*                                Vector distances and similarities */
/* ---------------------------------------------------------------- */

/** @typedef VlFloatVectorComparisonFunction
 ** @brief Pointer to a function to compare vectors of floats
 **/
typedef float (*VlFloatVectorComparisonFunction)(vl_size dimension, float const * X, float const * Y) ;

/** @typedef VlDoubleVectorComparisonFunction
 ** @brief Pointer to a function to compare vectors of doubles
 **/
typedef double (*VlDoubleVectorComparisonFunction)(vl_size dimension, double const * X, double const * Y) ;

/** @brief Vector comparison types */
enum _VlVectorComparisonType {
  VlDistanceL1,        /**< l1 distance (squared intersection metric) */
  VlDistanceL2,        /**< squared l2 distance */
  VlDistanceChi2,      /**< squared Chi2 distance */
  VlDistanceHellinger, /**< squared Hellinger's distance */
  VlDistanceJS,        /**< squared Jensen-Shannon distance */
  VlKernelL1,          /**< intersection kernel */
  VlKernelL2,          /**< l2 kernel */
  VlKernelChi2,        /**< Chi2 kernel */
  VlKernelHellinger,   /**< Hellinger's kernel */
  VlKernelJS           /**< Jensen-Shannon kernel */
} ;

/** @brief Vector comparison types */
typedef enum _VlVectorComparisonType VlVectorComparisonType ;

/** @brief Get the symbolic name of a vector comparison type
 ** @param type vector comparison type.
 ** @return data symbolic name.
 **/

VL_INLINE char const *
vl_get_vector_comparison_type_name (int type)
{
  switch (type) {
    case VlDistanceL1   : return "l1" ;
    case VlDistanceL2   : return "l2" ;
    case VlDistanceChi2 : return "chi2" ;
    case VlKernelL1     : return "kl1" ;
    case VlKernelL2     : return "kl2" ;
    case VlKernelChi2   : return "kchi2" ;
    default: return NULL ;
  }
}

VL_EXPORT VlFloatVectorComparisonFunction
vl_get_vector_comparison_function_f (VlVectorComparisonType type) ;

VL_EXPORT VlDoubleVectorComparisonFunction
vl_get_vector_comparison_function_d (VlVectorComparisonType type) ;

VL_EXPORT void
vl_eval_vector_comparison_on_all_pairs_f (float * result, vl_size dimension,
                                          float const * X, vl_size numDataX,
                                          float const * Y, vl_size numDataY,
                                          VlFloatVectorComparisonFunction function) ;

VL_EXPORT void
vl_eval_vector_comparison_on_all_pairs_d (double * result, vl_size dimension,
                                          double const * X, vl_size numDataX,
                                          double const * Y, vl_size numDataY,
                                          VlDoubleVectorComparisonFunction function) ;

/* ---------------------------------------------------------------- */
/*                                               Numerical analysis */
/* ---------------------------------------------------------------- */

VL_EXPORT void
vl_svd2 (double* S, double *U, double *V, double const *M) ;

VL_EXPORT void
vl_lapack_dlasv2 (double *smin,
                  double *smax,
                  double *sv,
                  double *cv,
                  double *su,
                  double *cu,
                  double f,
                  double g,
                  double h) ;


VL_EXPORT int
vl_solve_linear_system_3 (double * x, double const * A, double const *b) ;

VL_EXPORT int
vl_solve_linear_system_2 (double * x, double const * A, double const *b) ;

VL_EXPORT int
vl_gaussian_elimination (double * A, vl_size numRows, vl_size numColumns) ;

/* VL_MATHOP_H */
#endif
vlfeat-0.9.16/vl/mathop_sse2.c000066400000000000000000000177621203326130700161130ustar00rootroot00000000000000/** @file mathop_sse2.c
 ** @brief mathop for SSE2 - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/* ---------------------------------------------------------------- */
#ifndef VL_MATHOP_SSE2_INSTANTIATING
#define VL_MATHOP_SSE2_INSTANTIATING

#ifndef VL_DISABLE_SSE2
#ifndef __SSE2__
#  error "mathop_sse2.c must be compiled with SSE2 intrinsics enabled"
#endif

#include "generic.h"
#include "mathop.h"
#include "mathop_sse2.h"
#include 

#undef FLT
#define FLT VL_TYPE_DOUBLE
#include "mathop_sse2.c"

#undef FLT
#define FLT VL_TYPE_FLOAT
#include "mathop_sse2.c"

/* VL_DISABLE_SSE2 */
#endif

/* ---------------------------------------------------------------- */
/* VL_MATHOP_SSE2_INSTANTIATING */
#else

#include "float.th"

VL_INLINE T
VL_XCAT(_vl_vhsum_sse2_, SFX)(VTYPE x)
{
  T acc ;
#if (VSIZE == 4)
  {
    VTYPE sum ;
    VTYPE shuffle ;
    /* shuffle = [1 0 3 2] */
    /* sum     = [3+1 2+0 1+3 0+2] */
    /* shuffle = [2+0 3+1 0+2 1+3] */
    /* vacc    = [3+1+2+0 3+1+2+0 1+3+0+2 0+2+1+3] */
    shuffle = VSHU (x, x, _MM_SHUFFLE(1, 0, 3, 2)) ;
    sum     = VADD (x, shuffle) ;
    shuffle = VSHU (sum, sum, _MM_SHUFFLE(2, 3, 0, 1)) ;
    x       = VADD (sum, shuffle) ;
  }
#else
  {
    VTYPE shuffle ;
    /* acc     = [1   0  ] */
    /* shuffle = [0   1  ] */
    /* sum     = [1+0 0+1] */
    shuffle = VSHU (x, x, _MM_SHUFFLE2(0, 1)) ;
    x       = VADD (x, shuffle) ;
  }
#endif
  VST1(&acc, x);
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_l2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T const * X_vec_end = X_end - VSIZE + 1 ;
  T acc ;
  VTYPE vacc = VSTZ() ;
  vl_bool dataAligned = VALIGNED(X) & VALIGNED(Y) ;

  if (dataAligned) {
    while (X < X_vec_end) {
      VTYPE a = *(VTYPE*)X ;
      VTYPE b = *(VTYPE*)Y ;
      VTYPE delta = VSUB(a, b) ;
      VTYPE delta2 = VMUL(delta, delta) ;
      vacc = VADD(vacc, delta2) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  } else {
    while (X < X_vec_end) {
      VTYPE a = VLDU(X) ;
      VTYPE b = VLDU(Y) ;
      VTYPE delta = VSUB(a, b) ;
      VTYPE delta2 = VMUL(delta, delta) ;
      vacc = VADD(vacc, delta2) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  }

  acc = VL_XCAT(_vl_vhsum_sse2_, SFX)(vacc) ;

  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T delta = a - b ;
    acc += delta * delta ;
  }

  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_l1_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T const * X_vec_end = X + dimension - VSIZE ;
  T acc ;
  VTYPE vacc = VSTZ() ;
  VTYPE vminus = VL_XCAT(_mm_set1_p, VSFX) ((T) -0.0) ; /* sign bit */
  vl_bool dataAligned = VALIGNED(X) & VALIGNED(Y) ;

  if (dataAligned) {
    while (X < X_vec_end) {
      VTYPE a = *(VTYPE*)X ;
      VTYPE b = *(VTYPE*)Y ;
      VTYPE delta = VSUB(a, b) ;
      vacc = VADD(vacc, VANDN(vminus, delta)) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  } else {
    while (X < X_vec_end) {
      VTYPE a = VLDU(X) ;
      VTYPE b = VLDU(Y) ;
      VTYPE delta = VSUB(a, b) ;
      vacc = VADD(vacc, VANDN(vminus, delta)) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  }

  acc = VL_XCAT(_vl_vhsum_sse2_, SFX)(vacc) ;

  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T delta = a - b ;
    acc += VL_MAX(delta, - delta) ;
  }

  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_distance_chi2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T const * X_vec_end = X + dimension - VSIZE ;
  T acc ;
  VTYPE vacc = VSTZ() ;
  vl_bool dataAligned = VALIGNED(X) & VALIGNED(Y) ;

  if (dataAligned) {
    while (X < X_vec_end) {
      VTYPE a = *(VTYPE*)X ;
      VTYPE b = *(VTYPE*)Y ;
      VTYPE delta = VSUB(a, b) ;
      VTYPE denom = VADD(a, b) ;
      VTYPE numer = VMUL(delta, delta) ;
      VTYPE ratio = VDIV(numer, denom) ;
      ratio = VAND(ratio, VNEQ(denom, VSTZ())) ;
      vacc = VADD(vacc, ratio) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  } else {
    while (X < X_vec_end) {
      VTYPE a = VLDU(X) ;
      VTYPE b = VLDU(Y) ;
      VTYPE delta = VSUB(a, b) ;
      VTYPE denom = VADD(a, b) ;
      VTYPE numer = VMUL(delta, delta) ;
      VTYPE ratio = VDIV(numer, denom) ;
      ratio = VAND(ratio, VNEQ(denom, VSTZ())) ;
      vacc = VADD(vacc, ratio) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  }

  acc = VL_XCAT(_vl_vhsum_sse2_, SFX)(vacc) ;

  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T delta = a - b ;
    T denom = a + b ;
    T numer = delta * delta ;
    if (denom) {
      T ratio = numer / denom ;
      acc += ratio ;
    }
  }
  return acc ;
}


VL_EXPORT T
VL_XCAT(_vl_kernel_l2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T const * X_vec_end = X_end - VSIZE + 1 ;
  T acc ;
  VTYPE vacc = VSTZ() ;
  vl_bool dataAligned = VALIGNED(X) & VALIGNED(Y) ;

  if (dataAligned) {
    while (X < X_vec_end) {
      VTYPE a = *(VTYPE*)X ;
      VTYPE b = *(VTYPE*)Y ;
      vacc = VADD(vacc, VMUL(a,b)) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  } else {
    while (X < X_vec_end) {
      VTYPE a = VLDU(X) ;
      VTYPE b = VLDU(Y) ;
      vacc = VADD(vacc, VMUL(a,b)) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  }

  acc = VL_XCAT(_vl_vhsum_sse2_, SFX)(vacc) ;

  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    acc += a * b ;
  }
  return acc ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_l1_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T const * X_vec_end = X_end - VSIZE + 1 ;
  T acc ;
  VTYPE vacc = VSTZ() ;
  VTYPE vminus = VL_XCAT(_mm_set1_p, VSFX) ((T) -0.0) ;
  vl_bool dataAligned = VALIGNED(X) & VALIGNED(Y) ;

  if (dataAligned) {
    while (X < X_vec_end) {
      VTYPE a = *(VTYPE*)X ;
      VTYPE b = *(VTYPE*)Y ;
      VTYPE a_ = VANDN(vminus, a) ;
      VTYPE b_ = VANDN(vminus, b) ;
      VTYPE sum = VADD(a_,b_) ;
      VTYPE diff = VSUB(a, b) ;
      VTYPE diff_ = VANDN(vminus, diff) ;
      vacc = VADD(vacc, VSUB(sum, diff_)) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  } else {
    while (X < X_vec_end) {
      VTYPE a = VLDU(X) ;
      VTYPE b = VLDU(Y) ;
      VTYPE a_ = VANDN(vminus, a) ;
      VTYPE b_ = VANDN(vminus, b) ;
      VTYPE sum = VADD(a_,b_) ;
      VTYPE diff = VSUB(a, b) ;
      VTYPE diff_ = VANDN(vminus, diff) ;
      vacc = VADD(vacc, VSUB(sum, diff_)) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  }

  acc = VL_XCAT(_vl_vhsum_sse2_, SFX)(vacc) ;

  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T a_ = VL_XCAT(vl_abs_, SFX) (a) ;
    T b_ = VL_XCAT(vl_abs_, SFX) (b) ;
    acc += a_ + b_ - VL_XCAT(vl_abs_, SFX) (a - b) ;
  }

  return acc / ((T)2) ;
}

VL_EXPORT T
VL_XCAT(_vl_kernel_chi2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y)
{
  T const * X_end = X + dimension ;
  T const * X_vec_end = X + dimension - VSIZE ;
  T acc ;
  VTYPE vacc = VSTZ() ;
  vl_bool dataAligned = VALIGNED(X) & VALIGNED(Y) ;

  if (dataAligned) {
    while (X < X_vec_end) {
      VTYPE a = *(VTYPE*)X ;
      VTYPE b = *(VTYPE*)Y ;
      VTYPE denom = VADD(a, b) ;
      VTYPE numer = VMUL(a,b) ;
      VTYPE ratio = VDIV(numer, denom) ;
      ratio = VAND(ratio, VNEQ(denom, VSTZ())) ;
      vacc = VADD(vacc, ratio) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  } else {
    while (X < X_vec_end) {
      VTYPE a = VLDU(X) ;
      VTYPE b = VLDU(Y) ;
      VTYPE denom = VADD(a, b) ;
      VTYPE numer = VMUL(a,b) ;
      VTYPE ratio = VDIV(numer, denom) ;
      ratio = VAND(ratio, VNEQ(denom, VSTZ())) ;
      vacc = VADD(vacc, ratio) ;
      X += VSIZE ;
      Y += VSIZE ;
    }
  }

  acc = VL_XCAT(_vl_vhsum_sse2_, SFX)(vacc) ;

  while (X < X_end) {
    T a = *X++ ;
    T b = *Y++ ;
    T denom = a + b ;
    if (denom) {
      T ratio = a * b / denom ;
      acc += ratio ;
    }
  }
  return ((T)2) * acc ;
}

/* VL_MATHOP_SSE2_INSTANTIATING */
#endif
vlfeat-0.9.16/vl/mathop_sse2.h000066400000000000000000000027171203326130700161120ustar00rootroot00000000000000/** @file mathop_sse2.h
 ** @brief mathop for sse2
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/* ---------------------------------------------------------------- */
#ifndef VL_MATHOP_SSE2_H_INSTANTIATING
#define VL_MATHOP_SSE2_H_INSTANTIATING

#ifndef VL_MATHOP_SSE2_H
#define VL_MATHOP_SSE2_H

#undef FLT
#define FLT VL_TYPE_DOUBLE
#include "mathop_sse2.h"

#undef FLT
#define FLT VL_TYPE_FLOAT
#include "mathop_sse2.h"

/* VL_MATHOP_SSE2_H */
#endif

/* ---------------------------------------------------------------- */
/* VL_MATHOP_SSE2_H_INSTANTIATING */
#else

#ifndef VL_DISABLE_SSE2

#include "generic.h"
#include "float.th"

VL_EXPORT T
VL_XCAT(_vl_distance_l2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y) ;

VL_EXPORT T
VL_XCAT(_vl_distance_l1_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y) ;

VL_EXPORT T
VL_XCAT(_vl_distance_chi2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y) ;

VL_EXPORT T
VL_XCAT(_vl_kernel_l2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y) ;

VL_EXPORT T
VL_XCAT(_vl_kernel_l1_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y) ;

VL_EXPORT T
VL_XCAT(_vl_kernel_chi2_sse2_, SFX)
(vl_size dimension, T const * X, T const * Y) ;

/* ! VL_DISABLE_SSE2 */
#endif

/* VL_MATHOP_SSE2_INSTANTIATING */
#endif
vlfeat-0.9.16/vl/mser.c000066400000000000000000000713421203326130700146270ustar00rootroot00000000000000/** @file mser.c
 ** @brief MSER - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file mser.h


@page mser Maximally Stable Extremal Regions
@author Andrea Vedaldi


@file mser.h implements the Maximally Stable Extremal
Regions (MSER) feature detetctor @cite{matas03robust}.

- @ref mser-overview
- @ref mser-definition
- @ref mser-vol
- @ref mser-ell


@section mser-overview Maximally Stable Extremal Regions Overview


Running the MSER filter usually involves the following steps:

- Initialize the MSER filter by ::vl_mser_new(). The
  filter can be reused for images of the same size.
- Compute the MSERs by ::vl_mser_process().
- Optionally fit ellipsoids to the MSERs by  ::vl_mser_ell_fit().
- Retrieve the results by ::vl_mser_get_regions() (and optionally ::vl_mser_get_ell()).
- Optionally retrieve filter statistics by ::vl_mser_get_stats().
- Delete the MSER filter by ::vl_mser_delete().


@section mser-definition MSER definition


An extremal region @f$R_l@f$ of an image is a connected component
of the level set @f$S_l = \{ x : I(x) \leq l \}@f$.

@image html mser-er.png

For each intensity @f$l@f$, one has multiple disjoint extremal
regions in the level set @f$S_l@f$. Let @f$l@f$ span a finite
number of values @f$\mathcal{L}=\{0,\dots,M-1\}@f$ (a sampling of
the image range).  One obtains a family of regions @f$R_l@f$; by
connecting two regions @f$R_l@f$and @f$R_{l+1}@f$ if, and only if,
@f$R_l\subset R_{l+1}@f$, regions form a tree:

@image html mser-tree.png

The maximally stable extremal regions are extremal
regions which satisfy a stability criterion. Here we use a
criterion which is similar but not identical to the original
paper. This definition is somewhat simpler both to understand and
code (it also runs faster).

Let @f$B(R_l)=(R_l,R_{l+1},\dots,R_{l+\Delta})@f$ be the branch of
the tree rooted at @f$R_l@f$.  We associate to the branch the
(in)stability score

@f[
  v(R_l) = \frac{|R_{l+\Delta} - R_l|}{|R_l|}.
@f]

The score is low if the regions along the branch have similar area
(and thus similar shape). We aim to select maximally stable
branches; then a maximally stable region is just a representative
region selected from a maximally stable branch (for simplicity we
select @f$R_l@f$, but one could choose for example
@f$R_{l+\Delta/2}@f$).

Roughly speaking, a branch is maximally stable if it is a local
minimum of the (in)stability score. More accurately, we start by
assuming that all branches are maximally stable. Then we consider
each branch @f$B(R_{l})@f$ and its parent branch
@f$B(R_{l+1}):R_{l+1}\supset R_l@f$ (notice that, due to the
discrete nature of the calculations, they might be geometrically
identical) and we mark as unstable the less stable one, i.e.:

  - if @f$v(R_l)v(R_{l+1})@f$, mark @f$R_{l}@f$ as unstable;
  - otherwise, do nothing.

This criterion selects among nearby regions the ones that are more
stable. We optionally refine the selection by running (starting
from the bigger and going to the smaller regions) the following
tests:

- @f$a_- \leq |R_{l}|/|R_{\infty}| \leq a_+@f$: exclude MSERs too
  small or too big (@f$|R_{\infty}|@f$ is the area of the image).

- @f$v(R_{l}) < v_+@f$: exclude MSERs too unstable.

- For any MSER @f$R_l@f$, find the parent MSER @f$R_{l'}@f$ and check
  if
  @f$|R_{l'} - R_l|/|R_l'| < d_+@f$: remove duplicated MSERs.

 
    
 
    
  parameter
  alt. name
  standard value
  set by
 
    
 
    
   @f$\Delta@f$
   @c delta
   5
   ::vl_mser_set_delta()
 
    
 
    
   @f$a_+@f$
   @c max_area
   0.75
   ::vl_mser_set_max_area()
 
    
 
    
   @f$a_-@f$
   @c min_area
   3.0/@f$|R_\infty|@f$
   ::vl_mser_set_min_area()
 
    
 
    
   @f$v_+@f$
   @c max_var
   0.25
   ::vl_mser_set_max_variation()
 
    
 
    
   @f$d_+@f$
   @c min_diversity
   0.2
   ::vl_mser_set_min_diversity()
 
    

    


@section mser-vol Volumetric images


The code supports images of arbitrary dimension. For instance, it
is possible to find the MSER regions of volumetric images or time
sequences. See ::vl_mser_new() for further details


@section mser-ell Ellipsoids


Usually extremal regions are returned as a set of ellipsoids
fitted to the actual regions (which have arbitrary shape). The fit
is done by calculating the mean and variance of the pixels
composing the region:
@f[
\mu_l = \frac{1}{|R_l|}\sum_{x\in R_l}x,
\qquad
\Sigma_l = \frac{1}{|R_l|}\sum_{x\in R_l} (x-\mu_l)^\top(x-\mu_l)
@f]
Ellipsoids are fitted by ::vl_mser_ell_fit().  Notice that for a
n dimensional image, the mean has n components
and the variance has n(n+1)/2 independent components. The
total number of components is obtained by ::vl_mser_get_ell_dof()
and the total number of fitted ellipsoids by
::vl_mser_get_ell_num(). A matrix with an ellipsoid per column is
returned by ::vl_mser_get_ell(). The column is the stacking of the
mean and of the independent components of the variance, in the
order (1,1),(1,2),..,(1,n), (2,2),(2,3).... In the
calculations, the pixel coordinate @f$x=(x_1,...,x_n)@f$ use the
standard index order and ranges.


@subsection mser-algo Algorithm


The algorithm is quite efficient. While some details may be
tricky, the overall idea is easy to grasp.

- Pixels are sorted by increasing intensity.
- Pixels are added to a forest by increasing intensity. The forest has the
  following properties:
  - All the descendent of a certain pixels are subset of an extremal region.
  - All the extremal regions are the descendants of some pixels.
- Extremal regions are extracted from the region tree and the extremal regions tree is
  calculated.
- Stable regions are marked.
- Duplicates and other bad regions are removed.

@remark The extremal region tree which is calculated is a subset
of the actual extremal region tree. In particular, it does not
contain redundant entries extremal regions that coincide as
sets. So, for example, in the calculated extremal region tree, the
parent @f$R_q@f$ of an extremal region @f$R_{l}@f$ may or may
not correspond to @f$R_{l+1}@f$, depending whether
@f$q\leq l+1@f$ or not. These subtleties are important when
calculating the stability tests.

**/

#include "mser.h"
#include
#include
#include

/** -------------------------------------------------------------------
 ** @brief Advance N-dimensional subscript
 **
 ** The function increments by one the subscript @a subs indexing an
 ** array the @a ndims dimensions @a dims.
 **
 ** @param ndims number of dimensions.
 ** @param dims dimensions.
 ** @param subs subscript to advance.
 **/

VL_INLINE void
adv(int ndims, int const *dims, int *subs)
{
  int d = 0 ;
  while(d < ndims) {
    if( ++subs[d]  < dims[d] ) return ;
    subs[d++] = 0 ;
  }
}

/** -------------------------------------------------------------------
 ** @brief Climb the region forest to reach aa root
 **
 ** The function climbs the regions forest @a r starting from the node
 ** @a idx to the corresponding root.
 **
 ** To speed-up the operation, the function uses the
 ** VlMserReg::shortcut field to quickly jump to the root. After the
 ** root is reached, all the used shortcut are updated.
 **
 ** @param r regions' forest.
 ** @param idx stating node.
 ** @return index of the reached root.
 **/

VL_INLINE vl_uint
climb (VlMserReg* r, vl_uint idx)
{

  vl_uint prev_idx = idx ;
  vl_uint next_idx ;
  vl_uint root_idx ;

  /* move towards root to find it */
  while (1) {

    /* next jump to the root */
    next_idx = r [idx] .shortcut ;

    /* recycle shortcut to remember how we came here */
    r [idx] .shortcut = prev_idx ;

    /* stop if the root is found */
    if( next_idx == idx ) break ;

    /* next guy */
    prev_idx = idx ;
    idx      = next_idx ;
  }

  root_idx = idx ;

  /* move backward to update shortcuts */
  while (1) {

    /* get previously visited one */
    prev_idx = r [idx] .shortcut ;

    /* update shortcut to point to the new root */
    r [idx] .shortcut = root_idx ;

    /* stop if the first visited node is reached */
    if( prev_idx == idx ) break ;

    /* next guy */
    idx = prev_idx ;
  }

  return root_idx ;
}

/** -------------------------------------------------------------------
 ** @brief Create a new MSER filter
 **
 ** Initializes a new MSER filter for images of the specified
 ** dimensions. Images are @a ndims -dimensional arrays of dimensions
 ** @a dims.
 **
 ** @param ndims number of dimensions.
 ** @param dims  dimensions.
 **/
VL_EXPORT
VlMserFilt*
vl_mser_new (int ndims, int const* dims)
{
  VlMserFilt* f ;
  int *strides, k ;

  f = vl_calloc (sizeof(VlMserFilt), 1) ;

  f-> ndims   = ndims ;
  f-> dims    = vl_malloc (sizeof(int) * ndims) ;
  f-> subs    = vl_malloc (sizeof(int) * ndims) ;
  f-> dsubs   = vl_malloc (sizeof(int) * ndims) ;
  f-> strides = vl_malloc (sizeof(int) * ndims) ;

  /* shortcuts */
  strides = f-> strides ;

  /* copy dims to f->dims */
  for(k = 0 ; k < ndims ; ++k) {
    f-> dims [k] = dims [k] ;
  }

  /* compute strides to move into the N-dimensional image array */
  strides [0] = 1 ;
  for(k = 1 ; k < ndims ; ++k) {
    strides [k] = strides [k-1] * dims [k-1] ;
  }

  /* total number of pixels */
  f-> nel = strides [ndims-1] * dims [ndims-1] ;

  /* dof of ellipsoids */
  f-> dof = ndims * (ndims + 1) / 2 + ndims ;

  /* more buffers */
  f-> perm   = vl_malloc (sizeof(vl_uint)   * f-> nel) ;
  f-> joins  = vl_malloc (sizeof(vl_uint)   * f-> nel) ;
  f-> r      = vl_malloc (sizeof(VlMserReg) * f-> nel) ;

  f-> er     = 0 ;
  f-> rer    = 0 ;
  f-> mer    = 0 ;
  f-> rmer   = 0 ;
  f-> ell    = 0 ;
  f-> rell   = 0 ;

  /* other parameters */
  f-> delta         = 5 ;
  f-> max_area      = 0.75 ;
  f-> min_area      = 3.0 / f-> nel ;
  f-> max_variation = 0.25 ;
  f-> min_diversity = 0.2 ;

  return f ;
}

/** -------------------------------------------------------------------
 ** @brief Delete MSER filter
 **
 ** The function releases the MSER filter @a f and all its resources.
 **
 ** @param f MSER filter to be deleted.
 **/
VL_EXPORT
void
vl_mser_delete (VlMserFilt* f)
{
  if(f) {
    if(f-> acc   )  vl_free( f-> acc    ) ;
    if(f-> ell   )  vl_free( f-> ell    ) ;

    if(f-> er    )  vl_free( f-> er     ) ;
    if(f-> r     )  vl_free( f-> r      ) ;
    if(f-> joins )  vl_free( f-> joins  ) ;
    if(f-> perm  )  vl_free( f-> perm   ) ;

    if(f-> strides) vl_free( f-> strides) ;
    if(f-> dsubs  ) vl_free( f-> dsubs  ) ;
    if(f-> subs   ) vl_free( f-> subs   ) ;
    if(f-> dims   ) vl_free( f-> dims   ) ;

    if(f-> mer    ) vl_free( f-> mer    ) ;
    vl_free (f) ;
  }
}


/** -------------------------------------------------------------------
 ** @brief Process image
 **
 ** The functions calculates the Maximally Stable Extremal Regions
 ** (MSERs) of image @a im using the MSER filter @a f.
 **
 ** The filter @a f must have been initialized to be compatible with
 ** the dimensions of @a im.
 **
 ** @param f MSER filter.
 ** @param im image data.
 **/
VL_EXPORT
void
vl_mser_process (VlMserFilt* f, vl_mser_pix const* im)
{
  /* shortcuts */
  vl_uint        nel     = f-> nel  ;
  vl_uint       *perm    = f-> perm ;
  vl_uint       *joins   = f-> joins ;
  int            ndims   = f-> ndims ;
  int           *dims    = f-> dims ;
  int           *subs    = f-> subs ;
  int           *dsubs   = f-> dsubs ;
  int           *strides = f-> strides ;
  VlMserReg     *r       = f-> r ;
  VlMserExtrReg *er      = f-> er ;
  vl_uint       *mer     = f-> mer ;
  int            delta   = f-> delta ;

  int njoins = 0 ;
  int ner    = 0 ;
  int nmer   = 0 ;
  int nbig   = 0 ;
  int nsmall = 0 ;
  int nbad   = 0 ;
  int ndup   = 0 ;

  int i, j, k ;

  /* delete any previosuly computed ellipsoid */
  f-> nell = 0 ;

  /* -----------------------------------------------------------------
   *                                          Sort pixels by intensity
   * -------------------------------------------------------------- */

  {
    vl_uint buckets [ VL_MSER_PIX_MAXVAL ] ;

    /* clear buckets */
    memset (buckets, 0, sizeof(vl_uint) * VL_MSER_PIX_MAXVAL ) ;

    /* compute bucket size (how many pixels for each intensity
       value) */
    for(i = 0 ; i < (int) nel ; ++i) {
      vl_mser_pix v = im [i] ;
      ++ buckets [v] ;
    }

    /* cumulatively add bucket sizes */
    for(i = 1 ; i < VL_MSER_PIX_MAXVAL ; ++i) {
      buckets [i] += buckets [i-1] ;
    }

    /* empty buckets computing pixel ordering */
    for(i = nel ; i >= 1 ; ) {
      vl_mser_pix v = im [ --i ] ;
      vl_uint j = -- buckets [v] ;
      perm [j] = i ;
    }
  }

  /* initialize the forest with all void nodes */
  for(i = 0 ; i < (int) nel ; ++i) {
    r [i] .parent = VL_MSER_VOID_NODE ;
  }

  /* -----------------------------------------------------------------
   *                        Compute regions and count extremal regions
   * -------------------------------------------------------------- */
  /*
     In the following:

     idx    : index of the current pixel
     val    : intensity of the current pixel
     r_idx  : index of the root of the current pixel
     n_idx  : index of the neighbors of the current pixel
     nr_idx : index of the root of the neighbor of the current pixel

  */

  /* process each pixel by increasing intensity */
  for(i = 0 ; i < (int) nel ; ++i) {

    /* pop next node xi */
    vl_uint     idx = perm [i] ;
    vl_mser_pix val = im [idx] ;
    vl_uint     r_idx ;

    /* add the pixel to the forest as a root for now */
    r [idx] .parent   = idx ;
    r [idx] .shortcut = idx ;
    r [idx] .area     = 1 ;
    r [idx] .height   = 1 ;

    r_idx = idx ;

    /* convert the index IDX into the subscript SUBS; also initialize
       DSUBS to (-1,-1,...,-1) */
    {
      vl_uint temp = idx ;
      for(k = ndims - 1 ; k >= 0 ; --k) {
        dsubs [k] = -1 ;
        subs  [k] = temp / strides [k] ;
        temp      = temp % strides [k] ;
      }
    }

    /* examine the neighbors of the current pixel */
    while (1) {
      vl_uint n_idx = 0 ;
      vl_bool good = 1 ;

      /*
         Compute the neighbor subscript as NSUBS+SUB, the
         corresponding neighbor index NINDEX and check that the
         neighbor is within the image domain.
      */
      for(k = 0 ; k < ndims && good ; ++k) {
        int temp  = dsubs [k] + subs [k] ;
        good     &= (0 <= temp) && (temp < dims [k]) ;
        n_idx    += temp * strides [k] ;
      }

      /*
         The neighbor should be processed if the following conditions
         are met:

         1. The neighbor is within image boundaries.

         2. The neighbor is indeed different from the current node
            (the opposite happens when DSUB=(0,0,...,0)).

         3. The neighbor is already in the forest, meaning that it has
            already been processed.
      */
      if (good &&
          n_idx != idx &&
          r [n_idx] .parent != VL_MSER_VOID_NODE ) {

        vl_mser_pix nr_val = 0 ;
        vl_uint     nr_idx = 0 ;
        int         hgt   = r [ r_idx] .height ;
        int         n_hgt = r [nr_idx] .height ;

        /*
          Now we join the two subtrees rooted at

           R_IDX = ROOT(  IDX)
          NR_IDX = ROOT(N_IDX).

          Note that R_IDX = ROOT(IDX) might change as we process more
          neighbors, so we need keep updating it.
        */

         r_idx = climb(r,   idx) ;
        nr_idx = climb(r, n_idx) ;

        /*
          At this point we have three possibilities:

          (A) ROOT(IDX) == ROOT(NR_IDX). In this case the two trees
              have already been joined and we do not do anything.

          (B) I(ROOT(IDX)) == I(ROOT(NR_IDX)). In this case the pixel
              IDX is extending an extremal region with the same
              intensity value. Since ROOT(NR_IDX) will NOT be an
              extremal region of the full image, ROOT(IDX) can be
              safely added as children of ROOT(NR_IDX) if this
              reduces the height according to the union rank
              heuristic.

          (C) I(ROOT(IDX)) > I(ROOT(NR_IDX)). In this case the pixel
              IDX is starting a new extremal region. Thus ROOT(NR_IDX)
              WILL be an extremal region of the final image and the
              only possibility is to add ROOT(NR_IDX) as children of
              ROOT(IDX), which becomes parent.
        */

        if( r_idx != nr_idx ) { /* skip if (A) */

          nr_val = im [nr_idx] ;

          if( nr_val == val && hgt < n_hgt ) {

            /* ROOT(IDX) becomes the child */
            r [r_idx]  .parent   = nr_idx ;
            r [r_idx]  .shortcut = nr_idx ;
            r [nr_idx] .area    += r [r_idx] .area ;
            r [nr_idx] .height   = VL_MAX(n_hgt, hgt+1) ;

            joins [njoins++] = r_idx ;

          } else {

            /* cases ROOT(IDX) becomes the parent */
            r [nr_idx] .parent   = r_idx ;
            r [nr_idx] .shortcut = r_idx ;
            r [r_idx]  .area    += r [nr_idx] .area ;
            r [r_idx]  .height   = VL_MAX(hgt, n_hgt + 1) ;

            joins [njoins++] = nr_idx ;

            /* count if extremal */
            if (nr_val != val) ++ ner ;

          } /* check b vs c */
        } /* check a vs b or c */
      } /* neighbor done */

      /* move to next neighbor */
      k = 0 ;
      while(++ dsubs [k] > 1) {
        dsubs [k++] = -1 ;
        if(k == ndims) goto done_all_neighbors ;
      }
    } /* next neighbor */
  done_all_neighbors : ;
  } /* next pixel */

  /* the last root is extremal too */
  ++ ner ;

  /* save back */
  f-> njoins = njoins ;

  f-> stats. num_extremal = ner ;

  /* -----------------------------------------------------------------
   *                                          Extract extremal regions
   * -------------------------------------------------------------- */

  /*
     Extremal regions are extracted and stored into the array ER.  The
     structure R is also updated so that .SHORTCUT indexes the
     corresponding extremal region if any (otherwise it is set to
     VOID).
  */

  /* make room */
  if (f-> rer < ner) {
    if (er) vl_free (er) ;
    f->er  = er = vl_malloc (sizeof(VlMserExtrReg) * ner) ;
    f->rer = ner ;
  } ;

  /* save back */
  f-> nmer = ner ;

  /* count again */
  ner = 0 ;

  /* scan all regions Xi */
  for(i = 0 ; i < (int) nel ; ++i) {

    /* pop next node xi */
    vl_uint     idx = perm [i] ;

    vl_mser_pix val   = im [idx] ;
    vl_uint     p_idx = r  [idx] .parent ;
    vl_mser_pix p_val = im [p_idx] ;

    /* is extremal ? */
    vl_bool is_extr = (p_val > val) || idx == p_idx ;

    if( is_extr ) {

      /* if so, add it */
      er [ner] .index      = idx ;
      er [ner] .parent     = ner ;
      er [ner] .value      = im [idx] ;
      er [ner] .area       = r  [idx] .area ;

      /* link this region to this extremal region */
      r [idx] .shortcut = ner ;

      /* increase count */
      ++ ner ;
    } else {
      /* link this region to void */
      r [idx] .shortcut =   VL_MSER_VOID_NODE ;
    }
  }

  /* -----------------------------------------------------------------
   *                                   Link extremal regions in a tree
   * -------------------------------------------------------------- */

  for(i = 0 ; i < ner ; ++i) {

    vl_uint idx = er [i] .index ;

    do {
      idx = r[idx] .parent ;
    } while (r[idx] .shortcut == VL_MSER_VOID_NODE) ;

    er[i] .parent   = r[idx] .shortcut ;
    er[i] .shortcut = i ;
  }

  /* -----------------------------------------------------------------
   *                            Compute variability of +DELTA branches
   * -------------------------------------------------------------- */
  /* For each extremal region Xi of value VAL we look for the biggest
   * parent that has value not greater than VAL+DELTA. This is dubbed
   * `top parent'. */

  for(i = 0 ; i < ner ; ++i) {

    /* Xj is the current region the region and Xj are the parents */
    int     top_val = er [i] .value + delta ;
    int     top     = er [i] .shortcut ;

    /* examine all parents */
    while (1) {
      int next     = er [top]  .parent ;
      int next_val = er [next] .value ;

      /* Break if:
       * - there is no node above the top or
       * - the next node is above the top value.
       */
      if (next == top || next_val > top_val) break ;

      /* so next could be the top */
      top = next ;
    }

    /* calculate branch variation */
    {
      int area     = er [i  ] .area ;
      int area_top = er [top] .area ;
      er [i] .variation  = (float) (area_top - area) / area ;
      er [i] .max_stable = 1 ;
    }

    /* Optimization: since extremal regions are processed by
     * increasing intensity, all next extremal regions being processed
     * have value at least equal to the one of Xi. If any of them has
     * parent the parent of Xi (this comprises the parent itself), we
     * can safely skip most intermediate node along the branch and
     * skip directly to the top to start our search. */
    {
      int parent = er [i] .parent ;
      int curr   = er [parent] .shortcut ;
      er [parent] .shortcut =  VL_MAX (top, curr) ;
    }
  }

  /* -----------------------------------------------------------------
   *                                  Select maximally stable branches
   * -------------------------------------------------------------- */

  nmer = ner ;
  for(i = 0 ; i < ner ; ++i) {
    vl_uint    parent = er [i     ] .parent ;
    vl_mser_pix   val = er [i     ] .value ;
    float     var = er [i     ] .variation ;
    vl_mser_pix p_val = er [parent] .value ;
    float   p_var = er [parent] .variation ;
    vl_uint     loser ;

    /*
       Notice that R_parent = R_{l+1} only if p_val = val + 1. If not,
       this and the parent region coincide and there is nothing to do.
    */
    if(p_val > val + 1) continue ;

    /* decide which one to keep and put that in loser */
    if(var < p_var) loser = parent ; else loser = i ;

    /* make loser NON maximally stable */
    if(er [loser] .max_stable) {
      -- nmer ;
      er [loser] .max_stable = 0 ;
    }
  }

  f-> stats. num_unstable = ner - nmer ;

  /* -----------------------------------------------------------------
   *                                                 Further filtering
   * -------------------------------------------------------------- */
  /* It is critical for correct duplicate detection to remove regions
   * from the bottom (smallest one first).                          */
  {
    float max_area = (float) f-> max_area * nel ;
    float min_area = (float) f-> min_area * nel ;
    float max_var  = (float) f-> max_variation ;
    float min_div  = (float) f-> min_diversity ;

    /* scan all extremal regions (intensity value order) */
    for(i = ner-1 ; i >= 0L  ; --i) {

      /* process only maximally stable extremal regions */
      if (! er [i] .max_stable) continue ;

      if (er [i] .variation >= max_var ) { ++ nbad ;   goto remove ; }
      if (er [i] .area      >  max_area) { ++ nbig ;   goto remove ; }
      if (er [i] .area      <  min_area) { ++ nsmall ; goto remove ; }

      /*
       * Remove duplicates
       */
      if (min_div < 1.0) {
        vl_uint   parent = er [i] .parent ;
        int       area, p_area ;
        float div ;

        /* check all but the root mser */
        if((int) parent != i) {

          /* search for the maximally stable parent region */
          while(! er [parent] .max_stable) {
            vl_uint next = er [parent] .parent ;
            if(next == parent) break ;
            parent = next ;
          }

          /* Compare with the parent region; if the current and parent
           * regions are too similar, keep only the parent. */
          area    = er [i]      .area ;
          p_area  = er [parent] .area ;
          div     = (float) (p_area - area) / (float) p_area ;

          if (div < min_div) { ++ ndup ; goto remove ; }
        } /* remove dups end */

      }
      continue ;
    remove :
      er [i] .max_stable = 0 ;
      -- nmer ;
    } /* check next region */

    f-> stats .num_abs_unstable = nbad ;
    f-> stats .num_too_big      = nbig ;
    f-> stats .num_too_small    = nsmall ;
    f-> stats .num_duplicates   = ndup ;
  }
  /* -----------------------------------------------------------------
   *                                                   Save the result
   * -------------------------------------------------------------- */

  /* make room */
  if (f-> rmer < nmer) {
    if (mer) vl_free (mer) ;
    f->mer  = mer = vl_malloc( sizeof(vl_uint) * nmer) ;
    f->rmer = nmer ;
  }

  /* save back */
  f-> nmer = nmer ;

  j = 0 ;
  for (i = 0 ; i < ner ; ++i) {
    if (er [i] .max_stable) mer [j++] = er [i] .index ;
  }
}

/** -------------------------------------------------------------------
 ** @brief Fit ellipsoids
 **
 ** @param f MSER filter.
 **
 ** @sa @ref mser-ell
 **/

VL_EXPORT
void
vl_mser_ell_fit (VlMserFilt* f)
{
  /* shortcuts */
  int                nel = f-> nel ;
  int                dof = f-> dof ;
  int              *dims = f-> dims ;
  int              ndims = f-> ndims ;
  int              *subs = f-> subs ;
  int             njoins = f-> njoins ;
  vl_uint         *joins = f-> joins ;
  VlMserReg           *r = f-> r ;
  vl_uint           *mer = f-> mer ;
  int               nmer = f-> nmer ;
  vl_mser_acc       *acc = f-> acc ;
  vl_mser_acc       *ell = f-> ell ;

  int d, index, i, j ;

  /* already fit ? */
  if (f->nell == f->nmer) return ;

  /* make room */
  if (f->rell < f->nmer) {
    if (f->ell) vl_free (f->ell) ;
    f->ell  = vl_malloc (sizeof(float) * f->nmer * f->dof) ;
    f->rell = f-> nmer ;
  }

  if (f->acc == 0) {
    f->acc = vl_malloc (sizeof(float) * f->nel) ;
  }

  acc = f-> acc ;
  ell = f-> ell ;

  /* -----------------------------------------------------------------
   *                                                 Integrate moments
   * -------------------------------------------------------------- */

  /* for each dof */
  for(d = 0 ; d < f->dof ; ++d) {

    /* start from the upper-left pixel (0,0,...,0) */
    memset (subs, 0, sizeof(int) * ndims) ;

    /* step 1: fill acc pretending that each region has only one pixel */
    if(d < ndims) {
      /* 1-order ................................................... */

      for(index = 0 ; index < nel ; ++ index) {
        acc [index] = subs [d] ;
        adv(ndims, dims, subs) ;
      }
    }
    else {
      /* 2-order ................................................... */

      /* map the dof d to a second order moment E[x_i x_j] */
      i = d - ndims ;
      j = 0 ;
      while(i > j) {
        i -= j + 1 ;
        j ++ ;
      }
      /* initialize acc with  x_i * x_j */
      for(index = 0 ; index < nel ; ++ index){
        acc [index] = subs [i] * subs [j] ;
        adv(ndims, dims, subs) ;
      }
    }

    /* step 2: integrate */
    for(i = 0 ; i < njoins ; ++i) {
      vl_uint index  = joins [i] ;
      vl_uint parent = r [index] .parent ;
      acc [parent] += acc [index] ;
    }

    /* step 3: save back to ellpises */
    for(i = 0 ; i < nmer ; ++i) {
      vl_uint idx = mer [i] ;
      ell [d + dof*i] = acc [idx] ;
    }

  }  /* next dof */

  /* -----------------------------------------------------------------
   *                                           Compute central moments
   * -------------------------------------------------------------- */

  for(index = 0 ; index < nmer ; ++index) {
    float  *pt  = ell + index * dof ;
    vl_uint    idx  = mer [index] ;
    float  area = r [idx] .area ;

    for(d = 0 ; d < dof ; ++d) {

      pt [d] /= area ;

      if(d >= ndims) {
        /* remove squared mean from moment to get variance */
        i = d - ndims ;
        j = 0 ;
        while(i > j) {
          i -= j + 1 ;
          j ++ ;
        }
        pt [d] -= pt [i] * pt [j] ;
      }

    }
  }

  /* save back */
  f-> nell = nmer ;
}
vlfeat-0.9.16/vl/mser.h000066400000000000000000000323141203326130700146300ustar00rootroot00000000000000/** @file mser.h
 ** @brief MSER (@ref mser)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_MSER
#define VL_MSER

#include "generic.h"

/** @brief MSER image data type
 **
 ** This is the data type of the image pixels. It has to be an
 ** integer.
 **/
typedef vl_uint8 vl_mser_pix ;

/** @brief Maximum value
 **
 ** Maximum value of the integer type ::vl_mser_pix.
 **/
#define VL_MSER_PIX_MAXVAL 256

/** @brief MSER Filter
 **
 ** The MSER filter computes the Maximally Stable Extremal Regions of
 ** an image.
 **
 ** This structure is @ref main-glossary "opaque".
 **
 ** @sa @ref mser
 **/
typedef struct _VlMserFilt VlMserFilt ;

/** @brief MSER filter statistics */
typedef struct _VlMserStats VlMserStats ;

/** @brief MSER filter statistics definition */
struct _VlMserStats
{
  int num_extremal ;      /**< number of extremal regions                                */
  int num_unstable ;      /**< number of unstable extremal regions                       */
  int num_abs_unstable ;  /**< number of regions that failed the absolute stability test */
  int num_too_big ;       /**< number of regions that failed the maximum size test       */
  int num_too_small ;     /**< number of regions that failed the minimum size test       */
  int num_duplicates ;    /**< number of regions that failed the duplicate test          */
} ;

/** @name Construction and Destruction
 ** @{
 **/
VL_EXPORT VlMserFilt*      vl_mser_new     (int ndims, int const* dims) ;
VL_EXPORT void             vl_mser_delete  (VlMserFilt *f) ;
/** @} */

/** @name Processing
 ** @{
 **/
VL_EXPORT void             vl_mser_process (VlMserFilt *f,
                                            vl_mser_pix const *im) ;
VL_EXPORT void             vl_mser_ell_fit (VlMserFilt *f) ;
/** @} */

/** @name Retrieving data
 ** @{
 **/
VL_INLINE vl_uint          vl_mser_get_regions_num  (VlMserFilt const *f) ;
VL_INLINE vl_uint const*   vl_mser_get_regions      (VlMserFilt const *f) ;
VL_INLINE float const*     vl_mser_get_ell          (VlMserFilt const *f) ;
VL_INLINE vl_uint          vl_mser_get_ell_num      (VlMserFilt const *f) ;
VL_INLINE vl_uint          vl_mser_get_ell_dof      (VlMserFilt const *f) ;
VL_INLINE VlMserStats const*  vl_mser_get_stats     (VlMserFilt const *f) ;
/** @} */

/** @name Retrieving parameters
 ** @{
 **/
VL_INLINE vl_mser_pix  vl_mser_get_delta          (VlMserFilt const *f) ;
VL_INLINE double       vl_mser_get_min_area       (VlMserFilt const *f) ;
VL_INLINE double       vl_mser_get_max_area       (VlMserFilt const *f) ;
VL_INLINE double       vl_mser_get_max_variation  (VlMserFilt const *f) ;
VL_INLINE double       vl_mser_get_min_diversity  (VlMserFilt const *f) ;
/** @} */

/** @name Setting parameters
 ** @{
 **/
VL_INLINE void  vl_mser_set_delta           (VlMserFilt *f, vl_mser_pix x) ;
VL_INLINE void  vl_mser_set_min_area        (VlMserFilt *f, double      x) ;
VL_INLINE void  vl_mser_set_max_area        (VlMserFilt *f, double      x) ;
VL_INLINE void  vl_mser_set_max_variation   (VlMserFilt *f, double      x) ;
VL_INLINE void  vl_mser_set_min_diversity   (VlMserFilt *f, double      x) ;
/** @} */

/* ====================================================================
 *                                                   INLINE DEFINITIONS
 * ================================================================== */

/** @internal @brief MSER accumulator data type
 **
 ** This is a large integer type. It should be large enough to contain
 ** a number equal to the area (volume) of the image by the image
 ** width by the image height (for instance, if the image is a square
 ** of side 256, the maximum value is 256 x 256 x 256).
 **/
typedef float vl_mser_acc ;

/** @internal @brief Basic region flag: null region */
#ifdef VL_COMPILER_MSC
#define VL_MSER_VOID_NODE ((1ui64<<32) - 1)
#else
#define VL_MSER_VOID_NODE ((1ULL<<32) - 1)
#endif

/* ----------------------------------------------------------------- */
/** @internal @brief MSER: basic region (declaration)
 **
 ** Extremal regions and maximally stable extremal regions are
 ** instances of image regions.
 **
 ** There is an image region for each pixel of the image. Each region
 ** is represented by an instance of this structure.  Regions are
 ** stored into an array in pixel order.
 **
 ** Regions are arranged into a forest. VlMserReg::parent points to
 ** the parent node, or to the node itself if the node is a root.
 ** VlMserReg::parent is the index of the node in the node array
 ** (which therefore is also the index of the corresponding
 ** pixel). VlMserReg::height is the distance of the fartest leaf. If
 ** the node itself is a leaf, then VlMserReg::height is zero.
 **
 ** VlMserReg::area is the area of the image region corresponding to
 ** this node.
 **
 ** VlMserReg::region is the extremal region identifier. Not all
 ** regions are extremal regions however; if the region is NOT
 ** extremal, this field is set to ....
 **/
struct _VlMserReg
{
  vl_uint parent ;   /**< points to the parent region.            */
  vl_uint shortcut ; /**< points to a region closer to a root.    */
  vl_uint height ;   /**< region height in the forest.            */
  vl_uint area ;     /**< area of the region.                     */
} ;

/** @internal @brief MSER: basic region */
typedef struct _VlMserReg VlMserReg ;

/* ----------------------------------------------------------------- */
/** @internal @brief MSER: extremal region (declaration)
 **
 ** Extremal regions (ER) are extracted from the region forest. Each
 ** region is represented by an instance of this structure. The
 ** structures are stored into an array, in arbitrary order.
 **
 ** ER are arranged into a tree. @a parent points to the parent ER, or
 ** to itself if the ER is the root.
 **
 ** An instance of the structure represents the extremal region of the
 ** level set of intensity VlMserExtrReg::value and containing the
 ** pixel VlMserExtReg::index.
 **
 ** VlMserExtrReg::area is the area of the extremal region and
 ** VlMserExtrReg::area_top is the area of the extremal region
 ** containing this region in the level set of intensity
 ** VlMserExtrReg::area + @c delta.
 **
 ** VlMserExtrReg::variation is the relative area variation @c
 ** (area_top-area)/area.
 **
 ** VlMserExtrReg::max_stable is a flag signaling whether this extremal
 ** region is also maximally stable.
 **/
struct _VlMserExtrReg
{
  int          parent ;     /**< index of the parent region                   */
  int          index ;      /**< index of pivot pixel                         */
  vl_mser_pix  value ;      /**< value of pivot pixel                         */
  vl_uint      shortcut ;   /**< shortcut used when building a tree           */
  vl_uint      area ;       /**< area of the region                           */
  float    variation ;  /**< rel. area variation                          */
  vl_uint      max_stable ; /**< max stable number (=0 if not maxstable)      */
} ;

/** @internal @brief MSER: extremal region */
typedef struct _VlMserExtrReg VlMserExtrReg ;

/* ----------------------------------------------------------------- */
/** @internal @brief MSER filter
 ** @see @ref mser
 **/
struct _VlMserFilt
{

  /** @name Image data and meta data @internal */
  /*@{*/
  int                ndims ;   /**< number of dimensions                    */
  int               *dims ;    /**< dimensions                              */
  int                nel ;     /**< number of image elements (pixels)       */
  int               *subs ;    /**< N-dimensional subscript                 */
  int               *dsubs ;   /**< another subscript                       */
  int               *strides ; /**< strides to move in image data           */
  /*@}*/

  vl_uint           *perm ;    /**< pixel ordering                          */
  vl_uint           *joins ;   /**< sequence of join ops                    */
  int                njoins ;  /**< number of join ops                      */

  /** @name Regions */
  /*@{*/
  VlMserReg         *r ;       /**< basic regions                           */
  VlMserExtrReg     *er ;      /**< extremal tree                           */
  vl_uint           *mer ;     /**< maximally stable extremal regions       */
  int                ner ;     /**< number of extremal regions              */
  int                nmer ;    /**< number of maximally stable extr. reg.   */
  int                rer ;     /**< size of er buffer                       */
  int                rmer ;    /**< size of mer buffer                      */
  /*@}*/

  /** @name Ellipsoids fitting */
  /*@{*/
  float         *acc ;     /**< moment accumulator.                    */
  float         *ell ;     /**< ellipsoids list.                       */
  int                rell ;    /**< size of ell buffer                     */
  int                nell ;    /**< number of ellipsoids extracted         */
  int                dof ;     /**< number of dof of ellipsoids.           */

  /*@}*/

  /** @name Configuration */
  /*@{*/
  vl_bool   verbose ;          /**< be verbose                             */
  int       delta ;            /**< delta filter parameter                  */
  double    max_area ;         /**< badness test parameter                 */
  double    min_area ;         /**< badness test parameter                 */
  double    max_variation ;    /**< badness test parameter                 */
  double    min_diversity ;    /**< minimum diversity                      */
  /*@}*/

  VlMserStats stats ;          /** run statistic                           */
} ;

/* ----------------------------------------------------------------- */
/** @brief Get delta
 ** @param f MSER filter.
 ** @return value of @c delta.
 **/
VL_INLINE vl_mser_pix
vl_mser_get_delta (VlMserFilt const *f)
{
  return f-> delta ;
}

/** @brief Set delta
 ** @param f MSER filter.
 ** @param x value of @c delta.
 **/
VL_INLINE void
vl_mser_set_delta (VlMserFilt *f, vl_mser_pix x)
{
  f-> delta = x ;
}

/* ----------------------------------------------------------------- */
/** @brief Get minimum diversity
 ** @param  f MSER filter.
 ** @return value of @c minimum diversity.
 **/
VL_INLINE double
vl_mser_get_min_diversity (VlMserFilt const *f)
{
  return f-> min_diversity ;
}

/** @brief Set minimum diversity
 ** @param f MSER filter.
 ** @param x value of @c minimum diversity.
 **/
VL_INLINE void
vl_mser_set_min_diversity (VlMserFilt *f, double x)
{
  f-> min_diversity = x ;
}

/* ----------------------------------------------------------------- */
/** @brief Get statistics
 ** @param f MSER filter.
 ** @return statistics.
 **/
VL_INLINE VlMserStats const*
vl_mser_get_stats (VlMserFilt const *f)
{
  return & f-> stats ;
}

/* ----------------------------------------------------------------- */
/** @brief Get maximum region area
 ** @param f MSER filter.
 ** @return maximum region area.
 **/
VL_INLINE double
vl_mser_get_max_area (VlMserFilt const *f)
{
  return f-> max_area ;
}

/** @brief Set maximum region area
 ** @param f MSER filter.
 ** @param x maximum region area.
 **/
VL_INLINE void
vl_mser_set_max_area (VlMserFilt *f, double x)
{
  f-> max_area = x ;
}

/* ----------------------------------------------------------------- */
/** @brief Get minimum region area
 ** @param f MSER filter.
 ** @return minimum region area.
 **/
VL_INLINE double
vl_mser_get_min_area (VlMserFilt const *f)
{
  return f-> min_area ;
}

/** @brief Set minimum region area
 ** @param f MSER filter.
 ** @param x minimum region area.
 **/
VL_INLINE void
vl_mser_set_min_area (VlMserFilt *f, double x)
{
  f-> min_area = x ;
}

/* ----------------------------------------------------------------- */
/** @brief Get maximum region variation
 ** @param f MSER filter.
 ** @return maximum region variation.
 **/
VL_INLINE double
vl_mser_get_max_variation (VlMserFilt const *f)
{
  return f-> max_variation ;
}

/** @brief Set maximum region variation
 ** @param f MSER filter.
 ** @param x maximum region variation.
 **/
VL_INLINE void
vl_mser_set_max_variation (VlMserFilt *f, double x)
{
  f-> max_variation = x ;
}

/* ----------------------------------------------------------------- */
/** @brief Get maximally stable extremal regions
 ** @param f MSER filter.
 ** @return array of MSER pivots.
 **/
VL_INLINE vl_uint const *
vl_mser_get_regions (VlMserFilt const* f)
{
  return f-> mer ;
}

/** @brief Get number of maximally stable extremal regions
 ** @param f MSER filter.
 ** @return number of MSERs.
 **/
VL_INLINE vl_uint
vl_mser_get_regions_num (VlMserFilt const* f)
{
  return f-> nmer ;
}

/* ----------------------------------------------------------------- */
/** @brief Get ellipsoids
 ** @param f MSER filter.
 ** @return ellipsoids.
 **/
VL_INLINE float const *
vl_mser_get_ell (VlMserFilt const* f)
{
  return f-> ell ;
}

/** @brief Get number of degrees of freedom of ellipsoids
 ** @param f MSER filter.
 ** @return number of degrees of freedom.
 **/
VL_INLINE vl_uint
vl_mser_get_ell_dof (VlMserFilt const* f)
{
  return f-> dof ;
}

/** @brief Get number of ellipsoids
 ** @param f MSER filter.
 ** @return number of ellipsoids
 **/
VL_INLINE vl_uint
vl_mser_get_ell_num (VlMserFilt const* f)
{
  return f-> nell ;
}

/* VL_MSER */
#endif
vlfeat-0.9.16/vl/pegasos.c000066400000000000000000000403331203326130700153160ustar00rootroot00000000000000/** @file pegasos.c
 ** @brief PEGASOS - Definition
 ** @author Daniele Perrone
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2012 Daniele Perrone.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@page pegasos PEGASOS SVM solver
@author Daniele Perrone
@author Andrea Vedaldi


@ref pegasos.h provides a basic implementation of the PEGASOS
@cite{shalev-shwartz07pegasos} linear SVM solver.

- @ref pegasos-overview "Overview"
  - @ref pegasos-algorithm "Algorithm"
  - @ref pegasos-bias "Bias"
  - @ref pegasos-restarting "Restarting"
  - @ref pegasos-kernels "Non-linear kernels"


@section pegasos-overview Overview


PEGASOS solves the linear SxVM learning problem

@f[
 \min_{w} \frac{\lambda}{2} \|w\|^2 + \frac{1}{m} \sum_{i=1}^n
 \ell(w; (x_i,y_i))
@f]

where @f$ x_i @f$ are data vectors in @f$ \mathbb{R}^d @f$, @f$ y_i
\in \{-1,1\} @f$ are binary labels, @f$ \lambda > 0 @f$ is the
regularization parameter, and

@f[
\ell(w;(x_i,y_i)) = \max\{0, 1 - y_i \langle w,x_i\rangle\}.
@f]

is the hinge loss. The result of the optimization is a model
@f$ w \in \mathbb{R}^d @f$ that yields the decision function

@f[ F(x) = \operatorname{sign} \langle w, x\rangle. @f]

It is well known that the hinge loss is a convex upper bound of the
i01-loss of the decision function:

@f[
 \ell(w;(x,y)) \geq \frac{1}{2}(1 - y F(x)).
@f]

PEGASOS is accessed by calling ::vl_svmpegasos_train or
 ::vl_svmpegasos_train_validation_data.


@subsection pegasos-algorithm Algorithm


PEGASOS @cite{shalev-shwartz07pegasos} is a stochastic subgradient
optimizer. At the t-th iteration the algorithm:

- Samples uniformly at random as subset @f$ A_t@f$ of k of
  training pairs @f$(x,y)@f$ from the m pairs provided for
  training (this subset is called mini batch).
- Computes a subgradient @f$ \nabla_t @f$ of the function @f$ E_t(w) =
  \frac{1}{2}\|w\|^2 + \frac{1}{k} \sum_{(x,y) \in A_t} \ell(w;(x,y))
  @f$ (this is the SVM objective function restricted to the
  minibatch).
- Compute an intermediate weight vector @f$ w_{t+1/2} @f$ by doing a
  step @f$ w_{t+1/2} = w_t - \alpha_t \nalba_t @f$ with learning rate
  @f$ \alpha_t = 1/(\eta t) @f$ along the subgradient. Note that the
  learning rate is inversely proportional to the iteration numeber.
- Back projects the weight vector @f$ w_{t+1/2} @f$ on the
  hypersphere of radius @f$ \sqrt{\lambda} @f$ to obtain the next
  model estimate @f$ w_{t+1} @f$:
  @f[
     w_t = \min\{1, \sqrt{\lambda}/\|w\|\} w_{t+1/2}.
  @f]
  The hypersfere is guaranteed to contain the optimal weight vector
  @f$ w^* @f$ @cite{shalev-shwartz07pegasos}.

VLFeat implementation fixes to one the size of the mini batches @f$ k
@f$.


@subsection pegasos-bias Bias


PEGASOS SVM formulation does not incorporate a bias. To learn an SVM
with bias, the each data vector @f$ x @f$ can be extended by a
constant component @f$ B @f$ (called @c svm->biasMultiplier in the
code). In this case, the model @f$ w @f$ has dimension @f$ D + 1 @f$
and the SVM discriminat function is given by @f$ F(x) =
\operatorname{sign} (\langle w_{1:d}, x\rangle+ w_{d+1} B) @f$.
In our implementation the bias is kept in the variabl @c svm->bias and
the model has dimension @f$ D @f$.
If the bias multiplier B is large enough, the weight @f$
w_{d+1} @f$ remains small and it has small contribution in the SVM
regularization term @f$ \| w \|^2 @f$, better approximating the case
of an SVM with bias. Unfortunately, setting the bias multiplier @f$ B
@f$ to a large value makes the optimization harder.


@subsection pegasos-restarting Restarting


VLFeat PEGASOS implementation can be restarted after any given number
of iterations. This is useful to compute intermediate statistics or to
load new data from disk for large datasets.  It sufficient to use the
Svm state object as input for the next run.
Notice that a model learned using a "stopped-restarted" solver could
slightly differ from one learned from a unique run of the solver. The
difference could be more noticable if the user provides a permutation
to decide the order of the data points visits.


@subsection pegasos-permutation Permutation


VLFeat PEGASOS can use a user-defined permutation to decide the order
in which data points are visited (instead of using random
sampling). By specifying a permutation the algorithm is guaranteed to
visit each data point exactly once in each loop. The permutation needs
not to be bijective. This can be used to visit certain data samples
more or less often than others, implicitly reweighting their relative
importance in the SVM objective function. This can be used to blanace
the data.


@subsection pegasos-kernels Non-linear kernels


PEGASOS can be extended to non-linear kernels, but the algorithm is
not particularly efficient in this setting [1]. When possible, it may
be preferable to work with explicit feature maps.

Let @f$ k(x,y) @f$ be a positive definite kernel. A feature
map is a function @f$ \Psi(x) @f$ such that @f$ k(x,y) = \langle
\Psi(x), \Psi(y) \rangle @f$. Using this representation the non-linear
SVM learning objective function writes:

@f[
 \min_{w} \frac{\lambda}{2} \|w\|^2 + \frac{1}{m} \sum_{i=1}^n
 \ell(w; (\Psi(x)_i,y_i)).
@f]

Thus the only difference with the linear case is that the feature @f$
\Psi(x) @f$ is used in place of the data @f$ x @f$.

@f$ \Psi(x) @f$ can be learned off-line, for instance by using the
incomplete Cholesky decomposition @f$ V^\top V @f$ of the Gram matrix
@f$ K = [k(x_i,x_j)] @f$ (in this case @f$ \Psi(x_i) @f$ is the
i-th columns of V). Alternatively, for additive
kernels (e.g. intersection, Chi2) the explicit feature map computed by
@ref homkermap.h can be used.

For additive kernels it is also possible to perform the feature
expansion online inside the solver, setting the specific feature map
via ::vl_svmdataset_set_map. This is particular useful to keep the
size of the training data small, when the number of the samples is big
or the memory is limited.

*/

/** @fn vl_svmpegasos_train (VlSvmPegasos*,void*,vl_size,VlSvmDatasetInnerProduct,VlSvmDatasetAccumulator,vl_int8 const*)
 ** @param svm (in & out) svm status.
 ** @param data training vectors.
 ** @param numSamples number of training data vectors.
 ** @param innerProduct function defining the innerProduct between the model and a data point.
 ** @param accumulator function definint the sum between the model and a data point.
 ** @param labels labels of the training vectors.
 **
 ** The function runs PEGASOS on the specified data. The structure svm
 ** should be initialized using @ref vl_svmpegasos_new. The vector @a
 ** svm->model must have the dimension equal to @a svm->dimension. if a
 ** bias is used,  @a svm->biasMultiplier must be non-zero, and the
 ** output value will be saved in @a svm->bias.
 **
 ** The function runs PEGASOS for iterations t in the
 ** interval [@a svm->iterations, @a svm->maxIterations]. If the
 ** intial status is initializied using @ref vl_svmpegasos_new
 ** svm->iterations is equal to zero.
 **
 ** PEGASOS select the next point for computing the gradient at
 ** random. If @a svm->randomGenerator is @c NULL, the default random
 ** generator (as returned by ::vl_get_rand()) is used.
 **
 ** Alternatively, if @a svm->permutation is not @c NULL, then points are
 ** sampled in the order specified by this vector of indexes (this is
 ** cycled through). In this way It is an error to set both @a
 ** svm->randomGenerator and @a svm->permutation to non-null values.
 **
 ** See the @ref pegasos-overview overview for details.
 **/

/** @fn vl_svmpegasos_train_validation_data (VlSvmPegasos*,void*,vl_size,VlSvmDatasetInnerProduct,VlSvmDatasetAccumulator,vl_int8 const *,void *,vl_size,vl_int8 const *)
 ** @param svm (in & out) svm status.
 ** @param data training vectors.
 ** @param numSamples number of training data vectors.
 ** @param innerProduct function defining the innerProduct between the  model and a data point.
 ** @param accumulator function definint the sum between the model and a data point.
 ** @param labels labels of the training vectors.
 ** @param validation validation data.
 ** @param validationNumSamples number of validation data vectors.
 ** @param validationLabels labels of the validation data.
 **
 ** The function is the same algorithm of @ref vl_svmpegasos_train, but
 ** computes the objective function statistics on a validation
 ** dataset, instead of using the training dataset also for this purpose.
 **
 ** @see ::vl_svmpegasos_train
 **/

#ifndef VL_PEGASOS_INSTANTIATING

#include "pegasos.h"
#include "mathop.h"
#include 

void
vl_svm_compute_diagnostic(VlSvmPegasos *svm,
                          void * data,
                          vl_size numSamples,
                          vl_int8 const * labels,
                          VlSvmDatasetInnerProduct innerProduct)
{
  vl_size i, k ;
  vl_size numPos = 0 ;
  vl_size numNeg = 0 ;
  double pd ;
  svm->objective->regularizer = 0.0 ;

  for (i = 0; i < svm->dimension; i++) {
    svm->objective->regularizer += svm->model[i] * svm->model[i] ;
  }

  svm->objective->regularizer *= svm->lambda * 0.5 ;

  svm->objective->lossPos = 0 ;
  svm->objective->lossNeg = 0 ;
  svm->objective->hardLossPos = 0 ;
  svm->objective->hardLossNeg = 0 ;

  for (k = 0; k < numSamples; k++) {
    pd = innerProduct(data,k,svm->model) ;
    if (svm->biasMultiplier) {
      pd += svm->bias*svm->biasMultiplier ;
    }
    pd = VL_MAX(1 - labels[k]*pd, 0.0) ;

    if (labels[k] < 0) {
      svm->objective->lossNeg += pd ;
      svm->objective->hardLossNeg += (pd > 0) ;
      numNeg++ ;
    } else {
      svm->objective->lossPos += pd ;
      svm->objective->hardLossPos += (pd > 0) ;
      numPos++ ;
    }
  }

  svm->objective->lossPos /= numPos ;
  svm->objective->lossNeg /= numNeg ;
  svm->objective->hardLossPos /= numPos ;
  svm->objective->hardLossNeg /= numNeg ;
  svm->objective->energy = svm->objective->regularizer + svm->objective->lossPos + svm->objective->lossNeg ;
}

/** ------------------------------------------------------------------
 ** @brief Create a new @ref VlSvmPegasos structure
 ** @param dimension svm model dimension.
 ** @param lambda pegasos regularization parameter.
 **
 ** This function allocates and returns a new @ref VlSvmPegasos structure.
 **
 ** @return the new @ref VlSvmPegasos structure.
 ** @sa ::vl_svmpegasos_delete
 **/

VL_EXPORT
VlSvmPegasos* vl_svmpegasos_new (vl_size dimension,
                                 double lambda)
{
  VlSvmPegasos  * svm = (VlSvmPegasos*) vl_malloc(sizeof(VlSvmPegasos)) ;

  assert(lambda > 0.0) ;

  svm->model = (double*) vl_calloc(dimension, sizeof(double)) ;
  svm->dimension = dimension ;
  svm->objective = (VlSvmObjective*) vl_malloc(sizeof(VlSvmObjective)) ;
  svm->iterations = 0 ;
  svm->maxIterations = (vl_size) 10 / (lambda + 1) ;
  svm->lambda = lambda ;
  svm->epsilon = -1 ;
  svm->biasMultiplier = 0 ;
  svm->bias = 0 ;
  svm->elapsedTime = 0 ;
  svm->biasLearningRate = 1 ;
  svm->energyFrequency = 100 ;
  svm->randomGenerator = NULL ;
  svm->permutation = NULL ;
  svm->diagnosticCallerRef = NULL ;
  svm->diagnostic = NULL ;

  return svm ;
}

/** -------------------------------------------------------------------
 ** @brief Delete a @ref VlSvmPegasos structure
 ** @param @ref VlSvmPegasos structure.
 **
 ** The function frees the resources allocated by
 ** ::vl_svmpegasos_new().
 **/

VL_EXPORT
void vl_svmpegasos_delete (VlSvmPegasos * svm, vl_bool freeModel)
{
  if (svm->model && freeModel) vl_free(svm->model) ;
  if (svm->objective) vl_free(svm->objective) ;
  vl_free(svm) ;
}

#define SFX _validation_data
#define VALIDATION
#define VL_PEGASOS_INSTANTIATING
#include "pegasos.c"

#define SFX
#define VL_PEGASOS_INSTANTIATING
#include "pegasos.c"

/* VL_PEGASOS_INSTANTIATING */
#else

VL_EXPORT void
VL_XCAT(vl_svmpegasos_train,SFX)(VlSvmPegasos * svm,
                                 void * data,
                                 vl_size numSamples,
                                 VlSvmDatasetInnerProduct innerProduct,
                                 VlSvmDatasetAccumulator accumulator,
                                 vl_int8 const * labels
#ifdef VALIDATION
                                 ,void * validation,
                                 vl_size validationNumSamples,
                                 vl_int8 const * validationLabels
#endif
                                 )
{
  vl_uindex iteration0 ;
  double energy = 0;
  vl_size i ;
  double acc, learningRate, y ;
  double lambda = svm->lambda ;
  vl_size const regularizationPeriod = 10 ;

  vl_tic() ;

  if (svm->randomGenerator == NULL && svm->permutation == NULL) {
    svm->randomGenerator = vl_get_rand() ;
  }

  assert(svm->randomGenerator == NULL || svm->permutation == NULL) ;
  //assert(svm->iterationsSoFar >= 0) ;

  /*
    Choose iteration0 to start with small enoguh steps. Recall that
    the learning rate is

    learningRate = 1 / (lambda * (iteration + iteration0))
  */

  iteration0 = (vl_uindex) 1.0 / lambda ;

  /*
    The model is stored as scale*model[]. When a sample does not violate
    the margin, only scale needs to be updated.
  */

  for (  ;
         svm->iterations <  svm->maxIterations ;
         ++(svm->iterations)){
    /* pick a sample  */
    vl_uindex k ;
    if (svm->permutation == NULL) {
      k = vl_rand_uindex(svm->randomGenerator, numSamples) ;
    } else {
      k = svm->permutation[svm->iterations % svm->permutationSize] ;
      assert(k < numSamples) ;
    }

    y = labels[k] ;

    /* compute learning rate */
    learningRate = 1.0 / ((svm->iterations + iteration0) * lambda) ;

    /* regularizer step ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
    if (svm->iterations % regularizationPeriod == 0) {
      double eta =  learningRate * regularizationPeriod * lambda ;

      for (i = 0 ; i < svm->dimension  ; ++i) {
        svm->model[i] -= eta * svm->model[i] ;
      }
      if (svm->biasMultiplier)
        svm->bias -= eta * svm->biasLearningRate * svm->bias ;
    }

    /* loss step ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ */
    acc = innerProduct(data,k,svm->model) ;

    if (svm->biasMultiplier) {
      acc += svm->biasMultiplier * svm->bias ;
    }

    if (y * acc < (double) 1.0) {
      double eta = y * learningRate ;

      acc = 0 ;
      accumulator(data,k,svm->model,eta) ;

      if (svm->biasMultiplier) {
        svm->bias += eta * svm->biasLearningRate * svm->biasMultiplier ;
      }
    }

    if (svm->iterations % svm->energyFrequency == 0) {
      svm->elapsedTime += vl_toc() ;
#ifdef VALIDATION
      vl_svm_compute_diagnostic(svm,
                                validation,
                                validationNumSamples,
                                validationLabels,
                                innerProduct) ;
#else
      vl_svm_compute_diagnostic(svm,
                                data,
                                numSamples,
                                labels,
                                innerProduct) ;
#endif
      if (svm->diagnostic) {
        svm->diagnostic(svm) ;
      }

      if(svm->epsilon > 0 &&
         vl_abs_d(energy - svm->objective->energy) < svm->epsilon) {
        break ;
      }

      energy = svm->objective->energy ;
      vl_tic() ;
    }
  }
  svm->elapsedTime += vl_toc() ;
}
/* VL_SVMDATASET_INSTANTIATING */
#undef SFX
#undef VALIDATION
#undef VL_PEGASOS_INSTANTIATING
#endif
vlfeat-0.9.16/vl/pegasos.h000066400000000000000000000366251203326130700153340ustar00rootroot00000000000000/** @file pegasos.h
 ** @brief PEGASOS (@ref pegasos)
 ** @author Daniele Perrone
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2012 Daniele Perrone.
Copyright (C) 2011-12 Andrea Vedaldi.
 
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_PEGASOS_H
#define VL_PEGASOS_H

#include "svmdataset.h"

/** @brief Binary Svm Objective Function
 **
 ** This structure keeps some statistics on a specific classifier
 ** learned via Pegasos Svm Solver.
 **/
typedef struct _VlSvmObjective {
  double energy ;               /**< full energy value. */
  double regularizer ;          /**< regularization term. */
  double lossPos ;              /**< energy term due to false positives. */
  double lossNeg ;              /**< energy term due to false negatives. */
  double hardLossPos ;          /**< number of false positives. */
  double hardLossNeg ;          /**< number of false negatives. */
} VlSvmObjective ;


/** @typedef VlSvmDiagnostics
 ** @brief Pointer to a function called at each iteration for
 ** diagnostics purpose.
 **
 ** This type defines a function will be called at each iteration of
 ** the algorithm. The parameter svm is an instance of the Svm Status @ref
 ** VlSvmPegasos.
 **
 **/
typedef void (*VlSvmDiagnostics) (void *svm) ;

/** @brief Pegasos Svm Solver
 **
 ** This structure represents the status of an svm solver.
 **/
typedef struct _VlSvmPegasos {
  double *  model ;             /**< svm model. */
  double bias ;                 /**< bias element. */
  vl_size dimension ;           /**< model length. */
  vl_size iterations ;          /**< number of iterations. */
  vl_size maxIterations ;       /**< maximum number of iterations. */
  double epsilon ;              /**< stopping criterion threshold */
  double lambda ;               /**< Pegasos parameter. */
  double biasMultiplier ;       /**< bias strength multiplier. */
  double elapsedTime ;          /**< elapsed time from algorithm start. */
  vl_size energyFrequency ;     /**< frequency of computation of svm energy */
  double  biasLearningRate ;    /**< frequency of bias learning.  */
  VlSvmObjective*  objective ;  /**< value and statistics of the objective function. */
  VlRand* randomGenerator ;     /**< random generator.  */
  vl_uint32 * permutation ;     /**< data permutation. */
  vl_size permutationSize ;     /**< permutation size. */
  VlSvmDiagnostics diagnostic ; /**< diagnostic function. */
  void * diagnosticCallerRef ;  /**< reference to caller. */
} VlSvmPegasos ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT
VlSvmPegasos* vl_svmpegasos_new (vl_size dimension,
                                 double lambda) ;

VL_EXPORT
void vl_svmpegasos_delete (VlSvmPegasos* svm, vl_bool freeModel) ;
/** @} */

/** @name Training Fuctions
 ** @{
 **/
VL_EXPORT
void vl_svmpegasos_train (VlSvmPegasos * svm,
                          void * data,
                          vl_size numSamples,
                          VlSvmDatasetInnerProduct innerProduct,
                          VlSvmDatasetAccumulator accumulator,
                          vl_int8 const * labels) ;

VL_EXPORT
void vl_svmpegasos_train_validation_data (VlSvmPegasos * svm,
                                          void * data,
                                          vl_size numSamples,
                                          VlSvmDatasetInnerProduct innerProduct,
                                          VlSvmDatasetAccumulator accumulator,
                                          vl_int8 const * labels,
                                          void * validation,
                                          vl_size validationNumSamples,
                                          vl_int8 const * validationLabels) ;
/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE double* vl_svmpegasos_get_model             (VlSvmPegasos const *self) ;
VL_INLINE double  vl_svmpegasos_get_bias              (VlSvmPegasos const *self) ;
VL_INLINE vl_size vl_svmpegasos_get_dimension         (VlSvmPegasos const *self) ;
VL_INLINE vl_size vl_svmpegasos_get_iterations        (VlSvmPegasos const *self) ;
VL_INLINE vl_size vl_svmpegasos_get_maxiterations     (VlSvmPegasos const *self) ;
VL_INLINE double  vl_svmpegasos_get_epsilon           (VlSvmPegasos const *self) ;
VL_INLINE double  vl_svmpegasos_get_lambda            (VlSvmPegasos const *self) ;
VL_INLINE double  vl_svmpegasos_get_bias_multiplier   (VlSvmPegasos const *self) ;
VL_INLINE double  vl_svmpegasos_get_elapsed_time      (VlSvmPegasos const *self) ;
VL_INLINE vl_size vl_svmpegasos_get_energy_frequency  (VlSvmPegasos const *self) ;
VL_INLINE double  vl_svmpegasos_get_bias_learningrate (VlSvmPegasos const *self) ;
VL_INLINE VlSvmObjective* vl_svmpegasos_get_objective (VlSvmPegasos const *self) ;
VL_INLINE VlRand* vl_svmpegasos_get_random_generator  (VlSvmPegasos const *self) ;
VL_INLINE vl_uint32* vl_svmpegasos_get_permutation    (VlSvmPegasos const *self) ;
VL_INLINE vl_size vl_svmpegasos_get_permutation_size  (VlSvmPegasos const *self) ;
VL_INLINE VlSvmDiagnostics vl_svmpegasos_get_diagnostic (VlSvmPegasos const *self) ;
VL_INLINE void* vl_svmpegasos_get_diagnostic_caller_ref (VlSvmPegasos const *self) ;
/** @} */

/** @name Set parameters
 ** @{
 **/
VL_INLINE void vl_svmpegasos_set_model           (VlSvmPegasos *self, double * m) ;
VL_INLINE void vl_svmpegasos_set_bias            (VlSvmPegasos *self, double  b) ;
VL_INLINE void vl_svmpegasos_set_maxiterations   (VlSvmPegasos *self, vl_size i) ;
VL_INLINE void vl_svmpegasos_set_iterations      (VlSvmPegasos *self, vl_size i) ;
VL_INLINE void vl_svmpegasos_set_epsilon         (VlSvmPegasos *self, double e) ;
VL_INLINE void vl_svmpegasos_set_lambda          (VlSvmPegasos *self, double l) ;
VL_INLINE void vl_svmpegasos_set_bias_multiplier (VlSvmPegasos *self, double b) ;
VL_INLINE void vl_svmpegasos_set_energy_frequency(VlSvmPegasos *self, vl_size e) ;
VL_INLINE void vl_svmpegasos_set_bias_learningrate (VlSvmPegasos *self, double  blr) ;
VL_INLINE void vl_svmpegasos_set_random_generator(VlSvmPegasos *self, VlRand * r) ;
VL_INLINE void vl_svmpegasos_set_permutation     (VlSvmPegasos *self, vl_uint32* p,
                                                  vl_size psize) ;
VL_INLINE void vl_svmpegasos_set_diagnostic      (VlSvmPegasos *self,
                                                  VlSvmDiagnostics d,
                                                  void * cr) ;
/** @} */

/* -------------------------------------------------------------------
 *                                     Inline functions implementation
 * ---------------------------------------------------------------- */

/** ------------------------------------------------------------------
 ** @brief Get svm model.
 ** @param self Pegasos Svm Solver.
 ** @return pointer to model.
 **/

VL_INLINE double*
vl_svmpegasos_get_model (VlSvmPegasos const *self)
{
  return self->model ;
}

/** ------------------------------------------------------------------
 ** @brief Get bias.
 ** @param self Pegasos Svm Solver.
 ** @return bias value.
 **/

VL_INLINE double
vl_svmpegasos_get_bias (VlSvmPegasos const *self)
{
  return self->bias ;
}

/** ------------------------------------------------------------------
 ** @brief Get model dimension.
 ** @param self Pegasos Svm Solver.
 ** @return model dimension without considering the bias value.
 **/

VL_INLINE vl_size
vl_svmpegasos_get_dimension (VlSvmPegasos const *self)
{
  return self->dimension ;
}

/** ------------------------------------------------------------------
 ** @brief Get number of Iterations performed so far.
 ** @param self Pegasos Svm Solver.
 ** @return number of iterations performed so far.
 **/

VL_INLINE vl_size
vl_svmpegasos_get_iterations (VlSvmPegasos const *self)
{
  return self->iterations ;
}

/** ------------------------------------------------------------------
 ** @brief Get maximum number of iterations.
 ** @param self Pegasos Svm Solver.
 ** @return maximum number of iterations.
 **/

VL_INLINE vl_size
vl_svmpegasos_get_maxiterations (VlSvmPegasos const *self)
{
  return self->maxIterations ;
}

/** ------------------------------------------------------------------
 ** @brief Get stopping criterion threshold.
 ** @param self Pegasos Svm Solver.
 ** @return stopping criterion threshold.
 **/

VL_INLINE double
vl_svmpegasos_get_epsilon (VlSvmPegasos const *self)
{
  return self->epsilon ;
}

/** ------------------------------------------------------------------
 ** @brief Get regularization parameter lambda.
 ** @param self Pegasos Svm Solver.
 ** @return lambda.
 **/

VL_INLINE double
vl_svmpegasos_get_lambda (VlSvmPegasos const *self)
{
  return self->lambda ;
}

/** ------------------------------------------------------------------
 ** @brief Get bias multiplier.
 ** @param self Pegasos Svm Solver.
 ** @return bias multiplier.
 **/

VL_INLINE double
vl_svmpegasos_get_bias_multiplier (VlSvmPegasos const *self)
{
  return self->biasMultiplier ;
}

/** ------------------------------------------------------------------
 ** @brief Get the execution time in seconds.
 ** @param self Pegasos Svm Solver.
 ** @return elapsed time.
 **/

VL_INLINE double
vl_svmpegasos_get_elapsed_time (VlSvmPegasos const *self)
{
  return self->elapsedTime ;
}

/** ------------------------------------------------------------------
 ** @brief Get how frequent the full energy is computed.
 ** @param self Pegasos Svm Solver.
 ** @return energy computation frequency.
 **/

VL_INLINE vl_size
vl_svmpegasos_get_energy_frequency (VlSvmPegasos const *self)
{
  return self->energyFrequency ;
}

/** ------------------------------------------------------------------
 ** @brief Get bias learning rate.
 ** @param self Pegasos Svm Solver.
 ** @return bias learning rate.
 **/

VL_INLINE double
vl_svmpegasos_get_bias_learningrate (VlSvmPegasos const *self)
{
  return self->biasLearningRate ;
}

/** ------------------------------------------------------------------
 ** @brief Get svm objective energy.
 ** @param self Pegasos Svm Solver.
 ** @return objective energy.
 **/

VL_INLINE VlSvmObjective*
vl_svmpegasos_get_objective (VlSvmPegasos const *self)
{
  return self->objective ;
}

/** ------------------------------------------------------------------
 ** @brief Get random generator.
 ** @param self Pegasos Svm Solver.
 ** @return random generator.
 **/

VL_INLINE VlRand*
vl_svmpegasos_get_random_generator (VlSvmPegasos const *self)
{
  return self->randomGenerator ;
}

/** ------------------------------------------------------------------
 ** @brief Get permutation.
 ** @param self Pegasos Svm Solver.
 ** @return permutation.
 **/

VL_INLINE vl_uint32*
vl_svmpegasos_get_permutation (VlSvmPegasos const *self)
{
  return self->permutation ;
}

/** ------------------------------------------------------------------
 ** @brief Get permutation size.
 ** @param self Pegasos Svm Solver.
 ** @return permutation size.
 **/

VL_INLINE vl_size
vl_svmpegasos_get_permutationsize (VlSvmPegasos const *self)
{
  return self->permutationSize ;
}

/** ------------------------------------------------------------------
 ** @brief Get Diagnostic Function.
 ** @param self Pegasos Svm Solver.
 ** @return pointer to diagnostic function.
 **/

VL_INLINE VlSvmDiagnostics
vl_svmpegasos_get_diagnostic (VlSvmPegasos const *self)
{
  return self->diagnostic ;
}

/** ------------------------------------------------------------------
 ** @brief Get Diagnostic Function Caller Reference Object.
 ** @param self Pegasos Svm Solver.
 ** @return pointer to diagnostic function caller reference object.
 **/

VL_INLINE void*
vl_svmpegasos_get_diagnostic_caller_ref (VlSvmPegasos const *self)
{
  return self->diagnosticCallerRef ;
}

/** ------------------------------------------------------------------
 ** @brief Set pegasos model.
 ** @param self Pegasos Svm Solver.
 ** @param m svm model.
 **
 ** If there is a model already allocated, this method frees it
 ** before substituting it with the new one.
 **/

VL_INLINE void
vl_svmpegasos_set_model (VlSvmPegasos *self, double* m)
{
  if(self->model)
    vl_free(self->model) ;
  self->model = m ;
}

/** ------------------------------------------------------------------
 ** @brief Set pegasos bias.
 ** @param self Pegasos Svm Solver.
 ** @param b bias.
 **/

VL_INLINE void
vl_svmpegasos_set_bias (VlSvmPegasos *self, double b)
{
  self->bias = b ;
}

/** ------------------------------------------------------------------
 ** @brief Set pegasos max iterations.
 ** @param self Pegasos Svm Solver.
 ** @param i pegasos max iterations.
 **/

VL_INLINE void
vl_svmpegasos_set_maxiterations (VlSvmPegasos *self, vl_size i)
{
  self->maxIterations = i ;
}

/** ------------------------------------------------------------------
 ** @brief Set pegasos performed iterations.
 ** @param self Pegasos Svm Solver.
 ** @param i pegasos performed iterations.
 **/

VL_INLINE void
vl_svmpegasos_set_iterations (VlSvmPegasos *self, vl_size i)
{
  self->iterations = i ;
}

/** ------------------------------------------------------------------
 ** @brief Set pegasos stopping criterion threshold.
 ** @param self Pegasos Svm Solver.
 ** @param e stopping criterion threshold.
 **/

VL_INLINE void
vl_svmpegasos_set_epsilon (VlSvmPegasos *self, double e)
{
  self->epsilon = e ;
}

/** ------------------------------------------------------------------
 ** @brief Set lambda.
 ** @param self Pegasos Svm Solver.
 ** @param l lambda.
 **/

VL_INLINE void
vl_svmpegasos_set_lambda (VlSvmPegasos *self, double l)
{
  self->lambda = l ;
}

/** ------------------------------------------------------------------
 ** @brief Set bias multiplier.
 ** @param self Pegasos Svm Solver.
 ** @param b bias multiplier.
 **/

VL_INLINE void
vl_svmpegasos_set_bias_multiplier (VlSvmPegasos *self, double b)
{
  self->biasMultiplier = b ;
}

/** ------------------------------------------------------------------
 ** @brief Set how frequent the full energy is computed.
 ** @param self Pegasos Svm Solver.
 ** @param e energy compuation frequency.
 **/

VL_INLINE void
vl_svmpegasos_set_energy_frequency (VlSvmPegasos *self, vl_size e)
{
  self->energyFrequency = e ;
}

/** ------------------------------------------------------------------
 ** @brief Set bias learning rate.
 ** @param self Pegasos Svm Solver.
 ** @param blr bias learning rate.
 **/

VL_INLINE void
vl_svmpegasos_set_bias_learningrate (VlSvmPegasos *self, double blr)
{
  self->biasLearningRate = blr ;
}

/** ------------------------------------------------------------------
 ** @brief Set random generator.
 ** @param self Pegasos Svm Solver.
 ** @param r random generator.
 **/

VL_INLINE void
vl_svmpegasos_set_random_generator(VlSvmPegasos *self, VlRand * r)
{
  self->randomGenerator = r ;
}

/** ------------------------------------------------------------------
 ** @brief Set permutation.
 ** @param self Pegasos Svm Solver.
 ** @param p permutation.
 ** @param psize permutation size.
 **/

VL_INLINE void
vl_svmpegasos_set_permutation(VlSvmPegasos *self, vl_uint32* p,
                              vl_size psize)
{
  self->permutation = p ;
  self->permutationSize = psize ;
}

/** ------------------------------------------------------------------
 ** @brief Set Diagnostic Function.
 ** @param self Pegasos Svm Solver.
 ** @param d Diagnostic Function.
 ** @param cr Diagnostic Function Caller Reference.
 **/

VL_INLINE void
vl_svmpegasos_set_diagnostic(VlSvmPegasos *self, VlSvmDiagnostics d,
                             void * cr)
{
  self->diagnostic = d ;
  self->diagnosticCallerRef = cr ;
}

/* VL_PEGASOS_H */
#endif
vlfeat-0.9.16/vl/pgm.c000066400000000000000000000333651203326130700144470ustar00rootroot00000000000000/** @file pgm.c
 ** @brief Portable graymap format (PGM) parser - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file pgm.h

This module implements basic input and ouptut of images in PGM
format.

Extracting an image encoded in PGM format from an imput
file stream involves the following steps:

- use ::vl_pgm_extract_head to extract the image meta data
  (size and bit depth);
- allocate a buffer to store the image data;
- use ::vl_pgm_extract_data to extract the image data to the allocated
  buffer.

Writing an image in PGM format to an ouptut file stream
can be done by using ::vl_pgm_insert.

To quickly read/write a PGM image from/to a given file, use
::vl_pgm_read_new() and ::vl_pgm_write(). To to the same from a
buffer in floating point format use ::vl_pgm_read_new_f() and
::vl_pgm_write_f().

**/

#include "pgm.h"

#include 
#include 
#include 

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Remove all characters to the next new-line
 ** @param f file to strip.
 ** @return number of characters removed.
 **/

static int
remove_line(FILE* f)
{
  int count = 0 ;
  int c ;

  while (1) {
    c = fgetc(f) ;
    ++ count ;

    switch(c) {
    case '\n' :
      goto quit_remove_line ;

    case EOF :
      -- count ;
      goto quit_remove_line ;
    }
  }
 quit_remove_line :
  return count ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Remove white-spaces and comments
 ** @param f file to strip.
 ** @return number of characters removed.
 **/

static int
remove_blanks(FILE* f)
{
  int count = 0 ;
  int c ;

  while (1) {
    c = fgetc(f) ;

    switch(c) {

    case '\t' : case '\n' :
    case '\r' : case ' '  :
      ++ count ;
      break ;

    case '#' :
      count += 1 + remove_line(f) ;
      break ;

    case EOF :
      goto quit_remove_blanks ;

    default:
      ungetc(c, f) ;
      goto quit_remove_blanks ;
    }
  }
 quit_remove_blanks:
  return count ;
}

/** ------------------------------------------------------------------
 ** @brief Get PGM image number of pixels.
 **
 ** @param im PGM image descriptor.
 **
 ** The functions returns the number of pixels of the PGM image @a im.
 **
 ** To calculate the image data size in bytes, this value must be
 ** multiplied by the number of byte per pixels (see
 ** ::vl_pgm_get_bpp()).
 **
 ** @return number of pixels of the image.
 **/

VL_EXPORT vl_size
vl_pgm_get_npixels (VlPgmImage const *im)
{
  return im->width * im->height ;
}

/** ------------------------------------------------------------------
 ** @brief Get PGM image bytes per pixel
 **
 ** @param im PGM image descriptor.
 **
 ** The function returns the number of bytes for each pixel of the
 ** PGM image @a im.
 **
 ** @return number of bytes per pixel.
 **/

VL_EXPORT vl_size
vl_pgm_get_bpp (VlPgmImage const *im)
{
  return (im->max_value >= 256) + 1 ;
}

/** ------------------------------------------------------------------
 ** @brief Extract PGM header from stream
 **
 ** @param f  input file.
 ** @param im image structure to fill.
 **
 ** The function extracts from the file @a f the meta-data section of
 ** an image encoded in PGM format. The function fills the structure
 ** ::VlPgmImage accordingly.
 **
 ** @return error code. The error may be either
 ** #VL_PGM_INV_HEAD or #VL_PGM_INV_META depending whether the error
 ** occurred in decoding the header or meta section of the PGM file.
 **/

VL_EXPORT int
vl_pgm_extract_head (FILE* f, VlPgmImage *im)
{
  char magic [2] ;
  int c ;
  int is_raw ;
  int width ;
  int height ;
  int max_value ;
  size_t sz ;
  vl_bool  good ;

  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;

  /* -----------------------------------------------------------------
   *                                                check magic number
   * -------------------------------------------------------------- */
  sz = fread(magic, 1, 2, f) ;

  if (sz < 2) {
    threadState->lastError  = VL_ERR_PGM_INV_HEAD ;
    return -1 ;
  }

  good = magic [0] == 'P' ;

  switch (magic [1]) {
  case '2' : /* ASCII format */
    is_raw = 0 ;
    break ;

  case '5' : /* RAW format */
    is_raw = 1 ;
    break ;

  default :
    good = 0 ;
    break ;
  }

  if( ! good ) {
    return (threadState->lastError= VL_ERR_PGM_INV_HEAD) ;
  }

  /* -----------------------------------------------------------------
   *                                    parse width, height, max_value
   * -------------------------------------------------------------- */
  good = 1 ;

  c = remove_blanks(f) ;
  good &= c > 0 ;

  c = fscanf(f, "%d", &width) ;
  good &= c == 1 ;

  c = remove_blanks(f) ;
  good &= c > 0 ;

  c = fscanf(f, "%d", &height) ;
  good &= c == 1 ;

  c = remove_blanks(f) ;
  good &= c > 0 ;

  c = fscanf(f, "%d", &max_value) ;
  good &= c == 1 ;

  /* must end with a single blank */
  c = fgetc(f) ;
  good &=
    c == '\n' ||
    c == '\t' ||
    c == ' '  ||
    c == '\r' ;

  if(! good) {
    return (threadState->lastError = VL_ERR_PGM_INV_META) ;
  }

  if(! max_value >= 65536) {
    return (threadState->lastError = VL_ERR_PGM_INV_META) ;
  }

  /* exit */
  im-> width     = width ;
  im-> height    = height ;
  im-> max_value = max_value ;
  im-> is_raw    = is_raw ;
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @brief Extract PGM data from stream
 **
 ** @param f    input file.
 ** @param im   PGM image descriptor.
 ** @param data data buffer to fill.
 **
 ** The function extracts from the file @a f the data section of an
 ** image encoded in PGM format. The function fills the buffer @a data
 ** according. The buffer @a data should be ::vl_pgm_get_npixels() by
 ** ::vl_pgm_get_bpp() bytes large.
 **
 ** @return error code.
 **/

VL_EXPORT
int
vl_pgm_extract_data (FILE* f, VlPgmImage const *im, void *data)
{
  vl_size bpp = vl_pgm_get_bpp(im) ;
  vl_size data_size = vl_pgm_get_npixels(im) ;
  vl_bool good = 1 ;
  size_t c ;

  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;

  /* -----------------------------------------------------------------
   *                                                         read data
   * -------------------------------------------------------------- */

  /*
     In RAW mode we read directly an array of bytes or shorts.  In
     the latter case, however, we must take care of the
     endianess. PGM files are sorted in big-endian format. If our
     architecture is little endian, we must do a conversion.
  */
  if (im->is_raw) {

    c = fread( data,
               bpp,
               data_size,
               f ) ;
    good = (c == data_size) ;

    /* adjust endianess */
#if defined(VL_ARCH_LITTLE_ENDIAN)
    if (bpp == 2) {
      vl_uindex i ;
      vl_uint8 *pt = (vl_uint8*) data ;
      for(i = 0 ; i < 2 * data_size ; i += 2) {
        vl_uint8 tmp = pt [i] ;
        pt [i]   = pt [i+1] ;
        pt [i+1] = tmp ;
      }
    }
#endif
  }
  /*
     In ASCII mode we read a sequence of decimal numbers separated
     by whitespaces.
  */
  else {
    vl_uindex i ;
    int unsigned v ;
    for(good = 1, i = 0 ;
        i < data_size && good ;
        ++i) {
      c = fscanf(f, " %ud", &v) ;
      if (bpp == 1) {
        * ((vl_uint8* )  data + i) = (vl_uint8)  v ;
      } else {
        * ((vl_uint16*)  data + i) = (vl_uint16) v ;
      }
      good &= c == 1 ;
    }
  }

  if(! good ) {
    snprintf(threadState->lastErrorMessage, VL_ERR_MSG_LEN,
             "Invalid PGM data") ;
    return (threadState->lastError = VL_ERR_PGM_INV_DATA) ;
  }
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @brief Insert a PGM image into a stream
 **
 ** @param f output file.
 ** @param im   PGM image meta-data.
 ** @param data image data.
 ** @return error code.
 **/

VL_EXPORT
int
vl_pgm_insert(FILE* f, VlPgmImage const *im, void const *data)
{
  vl_size bpp = vl_pgm_get_bpp (im) ;
  vl_size data_size = vl_pgm_get_npixels (im) ;
  size_t c ;

  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;

  /* write preamble */
  fprintf(f,
          "P5\n%d\n%d\n%d\n",
          (signed)im->width,
          (signed)im->height,
          (signed)im->max_value) ;

  /* take care of endianness */
#if defined(VL_ARCH_LITTLE_ENDIAN)
  if (bpp == 2) {
    vl_uindex i ;
    vl_uint8* temp = vl_malloc (2 * data_size) ;
    memcpy(temp, data, 2 * data_size) ;
    for(i = 0 ; i < 2 * data_size ; i += 2) {
      vl_uint8 tmp = temp [i] ;
      temp [i]   = temp [i+1] ;
      temp [i+1] = tmp ;
    }
    c = fwrite(temp, 2, data_size, f) ;
    vl_free (temp) ;
  }
  else {
#endif
    c = fwrite(data, bpp, data_size, f) ;
#if defined(VL_ARCH_LITTLE_ENDIAN)
  }
#endif

  if(c != data_size) {
       snprintf(threadState->lastErrorMessage, VL_ERR_MSG_LEN,
             "Error writing PGM data") ;
    return (threadState->lastError = VL_ERR_PGM_IO) ;

  }
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @brief Read a PGM file
 **
 ** @param name file name.
 ** @param im a pointer to the PGM image structure to fill.
 ** @param data a pointer to the pointer to the allocated buffer.
 **
 ** The function reads a PGM image from file @a name and initializes the
 ** structure @a im and the buffer @a data accordingly.
 **
 ** The ownership of the buffer @a data is transfered to the caller.
 ** @a data should be freed by means of ::vl_free().
 **
 ** @bug Only PGM files with 1 BPP are supported.
 **
 ** @return error code.
 **/

VL_EXPORT
int vl_pgm_read_new (char const *name, VlPgmImage *im, vl_uint8** data)
{
  int err = 0 ;
  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;

  FILE *f = fopen (name, "rb") ;

  if (! f) {
    snprintf(threadState->lastErrorMessage, VL_ERR_MSG_LEN,
             "Error opening PGM file `%s' for reading", name) ;
    return (threadState->lastError = VL_ERR_PGM_IO) ;
  }

  err = vl_pgm_extract_head(f, im) ;
  if (err) {
    fclose (f) ;
    return err ;
  }

  if (vl_pgm_get_bpp(im) > 1) {
    snprintf(threadState->lastErrorMessage, VL_ERR_MSG_LEN,
             "vl_pgm_read(): PGM with BPP > 1 not supported") ;
    return (threadState->lastError =  VL_ERR_BAD_ARG) ;
  }

  *data = vl_malloc (vl_pgm_get_npixels(im) * sizeof(vl_uint8)) ;
  err = vl_pgm_extract_data(f, im, *data) ;

  if (err) {
    vl_free (data) ;
    fclose (f) ;
  }

  fclose (f) ;
  return err ;
}

/** ------------------------------------------------------------------
 ** @brief Read floats from a PGM file
 **
 ** @param name file name.
 ** @param im a pointer to the PGM image structure to fill.
 ** @param data a pointer to the pointer to the allocated buffer.
 **
 ** The function reads a PGM image from file @a name and initializes the
 ** structure @a im and the buffer @a data accordingly. The buffer
 ** @a data is an array of floats in the range [0, 1].
 **
 ** The ownership of the buffer @a data is transfered to the caller.
 ** @a data should be freed by means of ::vl_free().
 **
 ** @bug Only PGM files with 1 BPP are supported.
 **
 ** @return error code.
 **/

VL_EXPORT
int vl_pgm_read_new_f (char const *name,  VlPgmImage *im, float** data)
{
  int err = 0 ;
  size_t npixels ;
  vl_uint8 *idata ;

  err = vl_pgm_read_new (name, im, &idata) ;
  if (err) {
    return err ;
  }

  npixels = vl_pgm_get_npixels(im) ;
  *data = vl_malloc (sizeof(float) * npixels) ;
  {
    size_t k ;
    float scale = 1.0f / im->max_value ;
    for (k = 0 ; k < npixels ; ++ k) (*data)[k] = scale * idata[k] ;
  }

  vl_free (idata) ;
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @brief Write bytes to a PGM file
 **
 ** @param name file name.
 ** @param data data to write.
 ** @param width width of the image.
 ** @param height height of the image.
 **
 ** The function dumps the image @a data to the PGM file of the specified
 ** name. This is an helper function simplifying the usage of
 ** vl_pgm_insert().
 **
 ** @return error code.
 **/

VL_EXPORT
int vl_pgm_write (char const *name, vl_uint8 const* data, int width, int height)
{
  int err = 0 ;
  VlPgmImage pgm ;
  VlThreadSpecificState * threadState = vl_get_thread_specific_state() ;

  FILE *f = fopen (name, "wb") ;

  if (! f) {
    snprintf(threadState->lastErrorMessage, VL_ERR_MSG_LEN,
             "Error opening PGM file for writing") ;
    return (threadState->lastError = VL_ERR_MSG_LEN) ;
  }

  pgm.width = width ;
  pgm.height = height ;
  pgm.is_raw = 1 ;
  pgm.max_value = 255 ;

  err = vl_pgm_insert (f, &pgm, data) ;
  fclose (f) ;

  return err ;
}

/** -------------------------------------------------------------------
 ** @brief Write floats to PGM file
 **
 ** @param name file name.
 ** @param data data to write.
 ** @param width width of the image.
 ** @param height height of the image.
 **
 ** The function dumps the image @a data to the PGM file of the specified
 ** name. The data is re-scaled to fit in the range 0-255.
 ** This is an helper function simplifying the usage of
 ** vl_pgm_insert().
 **
 ** @return error code.
 **/

VL_EXPORT
int vl_pgm_write_f (char const *name, float const* data, int width, int height)
{
  int err = 0 ;
  int k ;
  float min = + VL_INFINITY_F ;
  float max = - VL_INFINITY_F ;
  float scale ;

  vl_uint8 * buffer = vl_malloc (sizeof(float) * width * height) ;

  for (k = 0 ; k < width * height ; ++k) {
    min = VL_MIN(min, data [k]) ;
    max = VL_MAX(max, data [k]) ;
  }

  scale = 255 / (max - min + VL_EPSILON_F) ;

  for (k = 0 ; k < width * height ; ++k) {
    buffer [k] = (vl_uint8) ((data [k] - min) * scale) ;
  }

  err = vl_pgm_write (name, buffer, width, height) ;

  vl_free (buffer) ;
  return err ;
}
vlfeat-0.9.16/vl/pgm.h000066400000000000000000000044611203326130700144470ustar00rootroot00000000000000/** @file pgm.h
 ** @brief Portable graymap format (PGM) parser
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_PGM_H
#define VL_PGM_H

#include "generic.h"
#include "mathop.h"
#include 

/** @name PGM parser error codes
 ** @{ */
#define VL_ERR_PGM_INV_HEAD  101 /**< Invalid PGM header section */
#define VL_ERR_PGM_INV_META  102 /**< Invalid PGM meta section */
#define VL_ERR_PGM_INV_DATA  103 /**< Invalid PGM data section */
#define VL_ERR_PGM_IO        104 /**< Generic I/O error */
/** @} */

/** @brief PGM image meta data
 **
 ** A PGM image is a 2-D array of pixels of width #width and height
 ** #height. Each pixel is an integer one or two bytes wide, depending
 ** whether #max_value is smaller than 256.
 **/

typedef struct _VlPgmImage
{
  vl_size width ;      /**< image width.                     */
  vl_size height ;     /**< image height.                    */
  vl_size max_value ;  /**< pixel maximum value (<= 2^16-1). */
  vl_bool is_raw ;     /**< is RAW format?                   */
} VlPgmImage ;

/** @name Core operations
 ** @{ */
VL_EXPORT int vl_pgm_extract_head (FILE *f, VlPgmImage *im) ;
VL_EXPORT int vl_pgm_extract_data (FILE *f, VlPgmImage const *im, void *data) ;
VL_EXPORT int vl_pgm_insert (FILE *f,
                             VlPgmImage const *im,
                             void const*data ) ;
VL_EXPORT vl_size vl_pgm_get_npixels (VlPgmImage const *im) ;
VL_EXPORT vl_size vl_pgm_get_bpp (VlPgmImage const *im) ;
/** @} */

/** @name Helper functions
 ** @{ */
VL_EXPORT int vl_pgm_write (char const *name,
                            vl_uint8 const *data,
                            int width, int height) ;
VL_EXPORT int vl_pgm_write_f (char const *name,
                              float const *data,
                              int width, int height) ;
VL_EXPORT int vl_pgm_read_new (char const *name,
                               VlPgmImage *im,
                               vl_uint8 **data) ;
VL_EXPORT int vl_pgm_read_new_f (char const *name,
                                 VlPgmImage *im,
                                 float **data) ;

/** @} */

/* VL_PGM_H */
#endif
vlfeat-0.9.16/vl/qsort-def.h000066400000000000000000000120001203326130700155540ustar00rootroot00000000000000/** @file   qsort-def.h
 ** @brief  QSort preprocessor metaprogram
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file qsort-def.h

 @section qsort-def-overview Overview

 @ref qsort-def.h is a metaprogram to define specialized instances
 of the quick-sort algorithm.

 @section qsort-def-usage Usage

 @ref qsort-def.h is used to define a specialization of the
 ::VL_QSORT_sort function that operatoes
 on a given type of array. For instance the code

 @code
 #define VL_QSORT_type float
 #define VL_QSORT_prefix my_qsort
 #include 
 @endcode

 defines a function @c my_qsort_sort that operates on an array of floats.


 @todo large array compatibility.
 **/

#include "host.h"
#include 

#ifndef VL_QSORT_prefix
#error "VL_QSORT_prefix must be defined"
#endif

#ifndef VL_QSORT_array
#ifndef VL_QSORT_type
#error "VL_QSORT_type must be defined if VL_QSORT_array is not"
#endif
#define VL_QSORT_array VL_QSORT_type*
#define VL_QSORT_array_const VL_QSORT_type const*
#endif

#ifdef __DOXYGEN__
#define VL_QSORT_prefix  QSortPrefix       /**< Prefix of the qsort functions */
#define VL_QSORT_type    QSortType         /**< Data type of the qsort elements */
#define VL_QSORT_array   QSortType*        /**< Data type of the qsort container */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_QSORT_cmp) || defined(__DOXYGEN__)
#define VL_QSORT_cmp VL_XCAT(VL_QSORT_prefix, _cmp)

/** @brief Compare two array elements
 ** @param array qsort array.
 ** @param indexA index of the first element @c A to compare.
 ** @param indexB index of the second element @c B to comapre.
 ** @return a negative number if @c AB.
 **/

VL_INLINE VL_QSORT_type
VL_QSORT_cmp
(VL_QSORT_array_const array,
 vl_uindex indexA,
 vl_uindex indexB)
{
  return array[indexA] - array[indexB] ;
}

/* VL_QSORT_cmp */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_QSORT_swap) || defined(__DOXYGEN__)
#define VL_QSORT_swap VL_XCAT(VL_QSORT_prefix, _swap)

/** @brief Swap two array elements
 ** @param array qsort array.
 ** @param indexA index of the first element to swap.
 ** @param indexB index of the second element to swap.
 **
 ** The function swaps the two elements @a a and @ b. The function
 ** uses a temporary element of type ::VL_QSORT_type
 ** and the copy operator @c =.
 **/

VL_INLINE void
VL_QSORT_swap
(VL_QSORT_array array,
 vl_uindex indexA,
 vl_uindex indexB)
{
  VL_QSORT_type t = array [indexA] ;
  array [indexA] = array [indexB] ;
  array [indexB] = t ;
}

/* VL_QSORT_swap */
#endif

/* ---------------------------------------------------------------- */
#if ! defined(VL_QSORT_sort_recursive) || defined(__DOXYGEN__)
#define VL_QSORT_sort_recursive VL_XCAT(VL_QSORT_prefix, _sort_recursive)

/** @brief Sort portion of an array using quicksort
 ** @param array (in/out) pointer to the array.
 ** @param begin first element of the array portion.
 ** @param end last element of the array portion.
 **
 ** The function sorts the array using quick-sort. Note that
 ** @c begin must be not larger than @c end.
 **/

VL_INLINE void
VL_QSORT_sort_recursive
(VL_QSORT_array array, vl_uindex begin, vl_uindex end)
{
  vl_uindex pivot = (end + begin) / 2 ;
  vl_uindex lowPart, i ;

  assert (begin <= end) ;

  /* swap pivot with last */
  VL_QSORT_swap (array, pivot, end) ;
  pivot = end ;

  /*
   Now scan from left to right, moving all element smaller
   or equal than the pivot to the low part
   array[0], array[1], ..., array[lowPart - 1].
   */
  lowPart = begin ;
  for (i = begin; i < end ; ++i) { /* one less */
    if (VL_QSORT_cmp (array, i, pivot) <= 0) {
      /* array[i] must be moved into the low part */
      VL_QSORT_swap (array, lowPart, i) ;
      lowPart ++ ;
    }
  }

  /* the pivot should also go into the low part */
  VL_QSORT_swap (array, lowPart, pivot) ;
  pivot = lowPart ;

  /* do recursion */
  if (pivot > begin) {
    /* note that pivot-1 stays non-negative */
    VL_QSORT_sort_recursive (array, begin, pivot - 1) ;
  }
  if (pivot < end) {
    VL_QSORT_sort_recursive (array, pivot + 1, end) ;
  }
}

/* VL_QSORT_sort_recursive */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_QSORT_sort) || defined(__DOXYGEN__)
#define VL_QSORT_sort VL_XCAT(VL_QSORT_prefix, _sort)

/** @brief Sort array using quicksort
 ** @param array (in/out) pointer to the array.
 ** @param size size of the array.
 **
 ** The function sorts the array using quick-sort.
 **/

VL_INLINE void
VL_QSORT_sort
(VL_QSORT_array array, vl_size size)
{
  assert (size >= 1) ;
  VL_QSORT_sort_recursive (array, 0, size - 1) ;
}

/* VL_QSORT_qsort */
#endif

#undef VL_QSORT_prefix
#undef VL_QSORT_swap
#undef VL_QSORT_sort
#undef VL_QSORT_sort_recursive
#undef VL_QSORT_type
#undef VL_QSORT_array
vlfeat-0.9.16/vl/quickshift.c000066400000000000000000000343631203326130700160350ustar00rootroot00000000000000/** @file quickshift.c
 ** @brief Quick shift - Definition
 ** @author Brian Fulkerson
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@page quickshift Quick shift image segmentation
@author Brian Fulkerson
@author Andrea Vedaldi


@ref quickshift.h implements an image segmentation algorithm based on
the quick shift clustering algorithm @cite{vedaldi08quick}.

- @ref quickshift-intro
- @ref quickshift-usage
- @ref quickshift-tech


@section quickshift-intro Overview


Quick shift @cite{vedaldi08quick} is a fast mode seeking algorithm,
similar to mean shift. The algorithm segments an RGB image (or any
image with more than one channel) by identifying clusters of pixels in
the joint spatial and color dimensions. Segments are local
(superpixels) and can be used as a basis for further processing.

Given an image, the algorithm calculates a forest of pixels whose
branches are labeled with a distance value
(::vl_quickshift_get_parents, ::vl_quickshift_get_dists). This
specifies a hierarchical segmentation of the image, with segments
corresponding to subtrees. Useful superpixels can be identified by
cutting the branches whose distance label is above a given threshold
(the threshold can be either fixed by hand, or determined by cross
validation).

Parameter influencing the algorithm are:

- Kernel size. The pixel density and its modes are estimated by
using a Parzen window estimator with a Gaussian kernel of the
specified size (::vl_quickshift_set_kernel_size). The larger the size,
the larger the neighborhoods of pixels considered.
- Maximum distance. This (::vl_quickshift_set_max_dist) is the
maximum distance between two pixels that the algorithm considers when
building the forest. In principle, it can be infinity (so that a tree
is returned), but in practice it is much faster to consider only
relatively small distances (the maximum distance can be set to a small
multiple of the kernel size).


@section quickshift-usage Usage


- Create a new quick shift object (::vl_quickshift_new). The object
  can be reused for multiple images of the same size.
- Configure quick shift by setting the kernel size
  (::vl_quickshift_set_kernel_size) and the maximum gap
  (::vl_quickshift_set_max_dist). The latter is in principle not
  necessary, but useful to speedup processing.
- Process an image (::vl_quickshift_process).
- Retrieve the parents (::vl_quickshift_get_parents) and the distances
  (::vl_quickshift_get_dists). These can be used to segment
  the image in superpixels.
- Delete the quick shift object (::vl_quickshift_delete).


@section quickshift-tech Technical details


For each pixel (x,y), quick shift regards @f$ (x,y,I(x,y))
@f$ as a sample from a d + 2 dimensional vector space. It
then calculates the Parzen density estimate (with a Gaussian kernel of
standard deviation @f$ \sigma @f$)

@f[
E(x,y) = P(x,y,I(x,y)) = \sum_{x'y'}
\frac{1}{(2\pi\sigma)^{d+2}}
\exp
\left(
-\frac{1}{2\sigma^2}
\left[
\begin{array}{c}
x - x' \\
y - y' \\
I(x,y) - I(x',y') \\
\end{array}
\right]
\right)
@f]

Then quick shift construct a tree connecting each image pixel to its
nearest neighbor which has greater density value. Formally, write @f$
(x',y') >_P (x,y) @f$ if, and only if,

@f[
  P(x',y',I(x',y')) > P(x,y,I(x,y))}.
@f]

Each pixel (x, y) is connected to the closest higher density
pixel parent(x, y) that achieves the minimum distance in

@f[
 \mathrm{dist}(x,y) =
 \mathrm{min}_{(x',y') > P(x,y)}
\left(
(x - x')^2 +
(y - y')^2 +
\| I(x,y) - I(x',y') \|_2^2
\right).
@f]

**/

#include "quickshift.h"
#include "mathop.h"
#include 
#include 
#include 

/** -----------------------------------------------------------------
 ** @internal
 ** @brief Computes the accumulated channel L2 distance between
 **        i,j + the distance between i,j
 **
 ** @param I    input image buffer
 ** @param N1   size of the first dimension of the image
 ** @param N2   size of the second dimension of the image
 ** @param K    number of channels
 ** @param i1   first dimension index of the first pixel to compare
 ** @param i2   second dimension of the first pixel
 ** @param j1   index of the second pixel to compare
 ** @param j2   second dimension of the second pixel
 **
 ** Takes the L2 distance between the values in I at pixel i and j,
 ** accumulating along K channels and adding in the distance
 ** between i,j in the image.
 **
 ** @return the distance as described above
 **/

VL_INLINE
vl_qs_type
vl_quickshift_distance(vl_qs_type const * I,
         int N1, int N2, int K,
         int i1, int i2,
         int j1, int j2)
{
  vl_qs_type dist = 0 ;
  int d1 = j1 - i1 ;
  int d2 = j2 - i2 ;
  int k ;
  dist += d1*d1 + d2*d2 ;
  /* For k = 0...K-1, d+= L2 distance between I(i1,i2,k) and
   * I(j1,j2,k) */
  for (k = 0 ; k < K ; ++k) {
    vl_qs_type d =
      I [i1 + N1 * i2 + (N1*N2) * k] -
      I [j1 + N1 * j2 + (N1*N2) * k] ;
    dist += d*d ;
  }
  return dist ;
}

/** -----------------------------------------------------------------
 ** @internal
 ** @brief Computes the accumulated channel inner product between i,j + the
 **        distance between i,j
 **
 ** @param I    input image buffer
 ** @param N1   size of the first dimension of the image
 ** @param N2   size of the second dimension of the image
 ** @param K    number of channels
 ** @param i1   first dimension index of the first pixel to compare
 ** @param i2   second dimension of the first pixel
 ** @param j1   index of the second pixel to compare
 ** @param j2   second dimension of the second pixel
 **
 ** Takes the channel-wise inner product between the values in I at
 ** pixel i and j, accumulating along K channels and adding in the
 ** inner product between i,j in the image.
 **
 ** @return the inner product as described above
 **/

VL_INLINE
vl_qs_type
vl_quickshift_inner(vl_qs_type const * I,
      int N1, int N2, int K,
      int i1, int i2,
      int j1, int j2)
{
  vl_qs_type ker = 0 ;
  int k ;
  ker += i1*j1 + i2*j2 ;
  for (k = 0 ; k < K ; ++k) {
    ker +=
      I [i1 + N1 * i2 + (N1*N2) * k] *
      I [j1 + N1 * j2 + (N1*N2) * k] ;
  }
  return ker ;
}

/** -----------------------------------------------------------------
 ** @brief Create a quick shift object
 ** @param image the image.
 ** @param height the height (number of rows) of the image.
 ** @param width the width (number of columns) of the image.
 ** @param channels the number of channels of the image.
 ** @return new quick shift object.
 **
 ** The @c image is an array of ::vl_qs_type values with three
 ** dimensions (respectively @c widht, @c height, and @c
 ** channels). Typically, a color (e.g, RGB) image has three
 ** channels. The linear index of a pixel is computed with:
 ** @c channels * @c width* @c height + @c row + @c height * @c col.
 **/

VL_EXPORT
VlQS *
vl_quickshift_new(vl_qs_type const * image, int height, int width,
                       int channels)
{
  VlQS * q = vl_malloc(sizeof(VlQS));

  q->image    = (vl_qs_type *)image;
  q->height   = height;
  q->width    = width;
  q->channels = channels;

  q->medoid   = VL_FALSE;
  q->tau      = VL_MAX(height,width)/50;
  q->sigma    = VL_MAX(2, q->tau/3);

  q->dists    = vl_calloc(height*width, sizeof(vl_qs_type));
  q->parents  = vl_calloc(height*width, sizeof(int));
  q->density  = vl_calloc(height*width, sizeof(vl_qs_type)) ;

  return q;
}

/** -----------------------------------------------------------------
 ** @brief Create a quick shift objet
 ** @param q quick shift object.
 **/

VL_EXPORT
void vl_quickshift_process(VlQS * q)
{
  vl_qs_type const *I = q->image;
  int        *parents = q->parents;
  vl_qs_type *E = q->density;
  vl_qs_type *dists = q->dists;
  vl_qs_type *M = 0, *n = 0 ;
  vl_qs_type sigma = q->sigma ;
  vl_qs_type tau = q->tau;
  vl_qs_type tau2 = tau*tau;

  int K = q->channels, d;
  int N1 = q->height, N2 = q->width;
  int i1,i2, j1,j2, R, tR;

  d = 2 + K ; /* Total dimensions include spatial component (x,y) */

  if (q->medoid) { /* n and M are only used in mediod shift */
    M = (vl_qs_type *) vl_calloc(N1*N2*d, sizeof(vl_qs_type)) ;
    n = (vl_qs_type *) vl_calloc(N1*N2,   sizeof(vl_qs_type)) ;
  }

  R = (int) ceil (3 * sigma) ;
  tR = (int) ceil (tau) ;

  /* -----------------------------------------------------------------
   *                                                                 n
   * -------------------------------------------------------------- */

  /* If we are doing medoid shift, initialize n to the inner product of the
   * image with itself
   */
  if (n) {
    for (i2 = 0 ; i2 < N2 ; ++ i2) {
      for (i1 = 0 ; i1 < N1 ; ++ i1) {
        n [i1 + N1 * i2] = vl_quickshift_inner(I,N1,N2,K,
                                               i1,i2,
                                               i1,i2) ;
      }
    }
  }

  /* -----------------------------------------------------------------
   *                                                 E = - [oN'*F]', M
   * -------------------------------------------------------------- */

  /*
     D_ij = d(x_i,x_j)
     E_ij = exp(- .5 * D_ij / sigma^2) ;
     F_ij = - E_ij
     E_i  = sum_j E_ij
     M_di = sum_j X_j F_ij

     E is the parzen window estimate of the density
     0 = dissimilar to everything, windowsize = identical
  */

  for (i2 = 0 ; i2 < N2 ; ++ i2) {
    for (i1 = 0 ; i1 < N1 ; ++ i1) {

      int j1min = VL_MAX(i1 - R, 0   ) ;
      int j1max = VL_MIN(i1 + R, N1-1) ;
      int j2min = VL_MAX(i2 - R, 0   ) ;
      int j2max = VL_MIN(i2 + R, N2-1) ;

      /* For each pixel in the window compute the distance between it and the
       * source pixel */
      for (j2 = j2min ; j2 <= j2max ; ++ j2) {
        for (j1 = j1min ; j1 <= j1max ; ++ j1) {
          vl_qs_type Dij = vl_quickshift_distance(I,N1,N2,K, i1,i2, j1,j2) ;
          /* Make distance a similarity */
          vl_qs_type Fij = - exp(- Dij / (2*sigma*sigma)) ;

          /* E is E_i above */
          E [i1 + N1 * i2] -= Fij ;

          if (M) {
            /* Accumulate votes for the median */
            int k ;
            M [i1 + N1*i2 + (N1*N2) * 0] += j1 * Fij ;
            M [i1 + N1*i2 + (N1*N2) * 1] += j2 * Fij ;
            for (k = 0 ; k < K ; ++k) {
              M [i1 + N1*i2 + (N1*N2) * (k+2)] +=
                I [j1 + N1*j2 + (N1*N2) * k] * Fij ;
            }
          }

        } /* j1 */
      } /* j2 */

    }  /* i1 */
  } /* i2 */

  /* -----------------------------------------------------------------
   *                                               Find best neighbors
   * -------------------------------------------------------------- */

  if (q->medoid) {

    /*
       Qij = - nj Ei - 2 sum_k Gjk Mik
       n is I.^2
    */

    /* medoid shift */
    for (i2 = 0 ; i2 < N2 ; ++i2) {
      for (i1 = 0 ; i1 < N1 ; ++i1) {

        vl_qs_type sc_best = 0  ;
        /* j1/j2 best are the best indicies for each i */
        vl_qs_type j1_best = i1 ;
        vl_qs_type j2_best = i2 ;

        int j1min = VL_MAX(i1 - R, 0   ) ;
        int j1max = VL_MIN(i1 + R, N1-1) ;
        int j2min = VL_MAX(i2 - R, 0   ) ;
        int j2max = VL_MIN(i2 + R, N2-1) ;

        for (j2 = j2min ; j2 <= j2max ; ++ j2) {
          for (j1 = j1min ; j1 <= j1max ; ++ j1) {

            vl_qs_type Qij = - n [j1 + j2 * N1] * E [i1 + i2 * N1] ;
            int k ;

            Qij -= 2 * j1 * M [i1 + i2 * N1 + (N1*N2) * 0] ;
            Qij -= 2 * j2 * M [i1 + i2 * N1 + (N1*N2) * 1] ;
            for (k = 0 ; k < K ; ++k) {
              Qij -= 2 *
                I [j1 + j2 * N1 + (N1*N2) * k] *
                M [i1 + i2 * N1 + (N1*N2) * (k + 2)] ;
            }

            if (Qij > sc_best) {
              sc_best = Qij ;
              j1_best = j1 ;
              j2_best = j2 ;
            }
          }
        }

        /* parents_i is the linear index of j which is the best pair
         * dists_i is the score of the best match
         */
        parents [i1 + N1 * i2] = j1_best + N1 * j2_best ;
        dists[i1 + N1 * i2] = sc_best ;
      }
    }

  } else {

    /* Quickshift assigns each i to the closest j which has an increase in the
     * density (E). If there is no j s.t. Ej > Ei, then dists_i == inf (a root
     * node in one of the trees of merges).
     */
    for (i2 = 0 ; i2 < N2 ; ++i2) {
      for (i1 = 0 ; i1 < N1 ; ++i1) {

        vl_qs_type E0 = E [i1 + N1 * i2] ;
        vl_qs_type d_best = VL_QS_INF ;
        vl_qs_type j1_best = i1   ;
        vl_qs_type j2_best = i2   ;

        int j1min = VL_MAX(i1 - tR, 0   ) ;
        int j1max = VL_MIN(i1 + tR, N1-1) ;
        int j2min = VL_MAX(i2 - tR, 0   ) ;
        int j2max = VL_MIN(i2 + tR, N2-1) ;

        for (j2 = j2min ; j2 <= j2max ; ++ j2) {
          for (j1 = j1min ; j1 <= j1max ; ++ j1) {
            if (E [j1 + N1 * j2] > E0) {
              vl_qs_type Dij = vl_quickshift_distance(I,N1,N2,K, i1,i2, j1,j2) ;
              if (Dij <= tau2 && Dij < d_best) {
                d_best = Dij ;
                j1_best = j1 ;
                j2_best = j2 ;
              }
            }
          }
        }

        /* parents is the index of the best pair */
        /* dists_i is the minimal distance, inf implies no Ej > Ei within
         * distance tau from the point */
        parents [i1 + N1 * i2] = j1_best + N1 * j2_best ;
        dists[i1 + N1 * i2] = sqrt(d_best) ;
      }
    }
  }

  if (M) vl_free(M) ;
  if (n) vl_free(n) ;
}

/** -----------------------------------------------------------------
 ** @brief Delete quick shift object
 ** @param q quick shift object.
 **/

void vl_quickshift_delete(VlQS * q)
{
  if (q) {
    if (q->parents) vl_free(q->parents);
    if (q->dists)   vl_free(q->dists);
    if (q->density) vl_free(q->density);

    vl_free(q);
  }
}
vlfeat-0.9.16/vl/quickshift.h000066400000000000000000000125571203326130700160430ustar00rootroot00000000000000/** @file quickshift.h
 ** @brief Quick shift (@ref quickshift)
 ** @author Andrea Vedaldi
 ** @author Brian Fulkerson
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_QUICKSHIFT_H
#define VL_QUICKSHIFT_H

#include "generic.h"
#include "mathop.h"

/** @brief quick shift datatype */
typedef double vl_qs_type ;

/** @brief quick shift infinity constant */
#define VL_QS_INF VL_INFINITY_D /* Change to _F for float math */

/** ------------------------------------------------------------------
 ** @brief quick shift results
 **
 ** This implements quick shift mode seeking.
 **/

typedef struct _VlQS
{
  vl_qs_type *image ;   /**< height x width x channels feature image */
  int height;           /**< height of the image */
  int width;            /**< width of the image */
  int channels;         /**< number of channels in the image */

  vl_bool medoid;
  vl_qs_type sigma;
  vl_qs_type tau;

  int *parents ;
  vl_qs_type *dists ;
  vl_qs_type *density ;
} VlQS ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT
VlQS*  vl_quickshift_new (vl_qs_type const * im, int height, int width,
                          int channels);

VL_EXPORT
void   vl_quickshift_delete (VlQS *q) ;
/** @} */

/** @name Process data
 ** @{
 **/

VL_EXPORT
void   vl_quickshift_process (VlQS *q) ;

/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE vl_qs_type    vl_quickshift_get_max_dist      (VlQS const *q) ;
VL_INLINE vl_qs_type    vl_quickshift_get_kernel_size    (VlQS const *q) ;
VL_INLINE vl_bool       vl_quickshift_get_medoid   (VlQS const *q) ;

VL_INLINE int *        vl_quickshift_get_parents  (VlQS const *q) ;
VL_INLINE vl_qs_type * vl_quickshift_get_dists    (VlQS const *q) ;
VL_INLINE vl_qs_type * vl_quickshift_get_density  (VlQS const *q) ;
/** @} */

/** @name Set parameters
 ** @{
 **/
VL_INLINE void vl_quickshift_set_max_dist    (VlQS *f, vl_qs_type tau) ;
VL_INLINE void vl_quickshift_set_kernel_size  (VlQS *f, vl_qs_type sigma) ;
VL_INLINE void vl_quickshift_set_medoid (VlQS *f, vl_bool medoid) ;
/** @} */

/* -------------------------------------------------------------------
 *                                     Inline functions implementation
 * ---------------------------------------------------------------- */

/** ------------------------------------------------------------------
 ** @brief Get tau.
 ** @param q quick shift object.
 ** @return the maximum distance in the feature space between nodes in the
 **         quick shift tree.
 **/

VL_INLINE vl_qs_type
vl_quickshift_get_max_dist (VlQS const *q)
{
  return q->tau ;
}

/** ------------------------------------------------------------------
 ** @brief Get sigma.
 ** @param q quick shift object.
 ** @return the standard deviation of the kernel used in the Parzen density
 **         estimate.
 **/

VL_INLINE vl_qs_type
vl_quickshift_get_kernel_size (VlQS const *q)
{
  return q->sigma ;
}

/** ------------------------------------------------------------------
 ** @brief Get medoid.
 ** @param q quick Shift object.
 ** @return @c true if medoid shift is used instead of quick shift.
 **/

VL_INLINE vl_bool
vl_quickshift_get_medoid (VlQS const *q)
{
  return q->medoid ;
}

/** ------------------------------------------------------------------
 ** @brief Get parents.
 ** @param q quick shift object.
 ** @return a @c height x @c width matrix where each element contains the
 **         linear index of its parent node. The node is a root if its
 **         value is its own linear index.
 **/

VL_INLINE int *
vl_quickshift_get_parents (VlQS const *q)
{
  return q->parents ;
}

/** ------------------------------------------------------------------
 ** @brief Get dists.
 ** @param q quick shift object.
 ** @return for each pixel, the distance in feature space to the pixel
 **         that is its parent in the quick shift tree. The distance is
 **         set to 'inf' if the pixel is a root node.
 **/

VL_INLINE vl_qs_type *
vl_quickshift_get_dists (VlQS const *q)
{
  return q->dists ;
}

/** ------------------------------------------------------------------
 ** @brief Get density.
 ** @param q quick shift object.
 ** @return the estimate of the density at each pixel.
 **/

VL_INLINE vl_qs_type *
vl_quickshift_get_density (VlQS const *q)
{
  return q->density ;
}

/** ------------------------------------------------------------------
 ** @brief Set sigma
 ** @param q quick shift object.
 ** @param sigma standard deviation of the kernel used in the Parzen density
 **        estimate.
 **/

VL_INLINE void
vl_quickshift_set_kernel_size (VlQS *q, vl_qs_type sigma)
{
  q -> sigma = sigma ;
}

/** ------------------------------------------------------------------
 ** @brief Set max distance
 ** @param q quick shift object.
 ** @param tau the maximum distance in the feature space between nodes in the
 **            quick shift tree.
 **/

VL_INLINE void
vl_quickshift_set_max_dist (VlQS *q, vl_qs_type tau)
{
  q -> tau = tau ;
}

/** ------------------------------------------------------------------
 ** @brief Set medoid
 ** @param q quick shift object.
 ** @param medoid @c true to use kernelized medoid shift, @c false (default) uses
 **        quick shift.
 **/

VL_INLINE void
vl_quickshift_set_medoid (VlQS *q, vl_bool medoid)
{
  q -> medoid = medoid ;
}


#endif
vlfeat-0.9.16/vl/random.c000066400000000000000000000145541203326130700151430ustar00rootroot00000000000000/** @file random.c
 ** @brief Random number generator - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file random.h

 This module implements the popular Mersenne Twister algorithm (MATLAB
 random generator from version 7.4).

 @section random-overview Overview

 A random number generator can be initalized by

 @code
 VlRand rand ;
 vl_rand_init (&rand) ;
 @endcode

 ::VlRand is a simple structure holding the state of the
 random number generator. The generator can be seeded by
 ::vl_rand_seed and ::vl_rand_seed_by_array. For intsance:

 @code
 vl_rand_seed (&rand, clock()) ;
 @endcode

 The generator can be used to obtain random quantities of
 various types:

 - ::vl_rand_int31, ::vl_rand_uint32 for 32-bit random integers;
 - ::vl_rand_real1 for a double in [0,1];
 - ::vl_rand_real2 for a double in [0,1);
 - ::vl_rand_real3 for a double in (0,1);
 - ::vl_rand_res53 for a double in [0,1) with high resolution.

 There is no need to explicitly destroy a ::VlRand instance.

 [1] http://en.wikipedia.org/wiki/Mersenne_twister

**/

#include "random.h"

/*
A C-program for MT19937, with initialization improved 2002/1/26.
Coded by Takuji Nishimura and Makoto Matsumoto.

Before using, initialize the state by using init_genrand(seed)
or init_by_array(init_key, keySize).

Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:

1. Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.

2. Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.

3. The names of its contributors may not be used to endorse or promote
products derived from this software without specific prior written
permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.


Any feedback is very welcome.
http://www.math.sci.hiroshima-u.ac.jp/~m-mat/MT/emt.html
email: m-mat @ math.sci.hiroshima-u.ac.jp (remove space)
*/

#include 
#include 

/* Period parameters */
#define N 624
#define M 397
#define MATRIX_A 0x9908b0dfUL   /* constant vector a */
#define UPPER_MASK 0x80000000UL /* most significant w-r bits */
#define LOWER_MASK 0x7fffffffUL /* least significant r bits */

/* initializes mt[N] with a seed */

/** @brief Initialise random number generator
 ** @param self number generator.
 **/

VL_EXPORT void
vl_rand_init (VlRand * self)
{
  memset (self->mt, 0, sizeof(self->mt[0]) * N) ;
  self->mti = N + 1 ;
}

/** @brief Seed the state of the random number generator
 ** @param self random number generator.
 ** @param s seed.
 **/

VL_EXPORT void
vl_rand_seed (VlRand * self, vl_uint32 s)
{
#define mti self->mti
#define mt self->mt
  mt[0]= s & 0xffffffffUL;
  for (mti=1; mti> 30)) + mti);
    /* See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. */
    /* In the previous versions, MSBs of the seed affect   */
    /* only MSBs of the array mt[].                        */
    /* 2002/01/09 modified by Makoto Matsumoto             */
    mt[mti] &= 0xffffffffUL;
    /* for >32 bit machines */
  }
#undef mti
#undef mt
}

/** @brief Seed the state of the random number generator by an array
 ** @param self     random number generator.
 ** @param key      array of numbers.
 ** @param keySize  length of the array.
 **/

VL_EXPORT void
vl_rand_seed_by_array (VlRand * self, vl_uint32 const key [], vl_size keySize)
{
#define mti self->mti
#define mt self->mt
  int i, j, k;
  vl_rand_seed (self, 19650218UL);
  i=1; j=0;
  k = (N > keySize ? N : (int)keySize);
  for (; k; k--) {
    mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1664525UL))
      + key[j] + j; /* non linear */
    mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
    i++; j++;
    if (i>=N) { mt[0] = mt[N-1]; i=1; }
    if (j>=(signed)keySize) j=0;
  }
  for (k=N-1; k; k--) {
    mt[i] = (mt[i] ^ ((mt[i-1] ^ (mt[i-1] >> 30)) * 1566083941UL))
      - i; /* non linear */
    mt[i] &= 0xffffffffUL; /* for WORDSIZE > 32 machines */
    i++;
    if (i>=N) { mt[0] = mt[N-1]; i=1; }
  }

  mt[0] = 0x80000000UL; /* MSB is 1; assuring non-zero initial array */
#undef mti
#undef mt
}

/** @brief Generate a random UINT32
 ** @param self random number generator.
 ** @return a random number in [0, 0xffffffff].
 **/

VL_EXPORT vl_uint32
vl_rand_uint32 (VlRand * self)
{
  unsigned long y;
  static unsigned long mag01[2]={0x0UL, MATRIX_A};
  /* mag01[x] = x * MATRIX_A  for x=0,1 */

#define mti self->mti
#define mt self->mt

  if (mti >= N) { /* generate N words at one time */
    int kk;

    if (mti == N+1)   /* if init_genrand() has not been called, */
      vl_rand_seed (self, 5489UL); /* a default initial seed is used */

    for (kk=0;kk> 1) ^ mag01[y & 0x1UL];
    }
    for (;kk> 1) ^ mag01[y & 0x1UL];
    }
    y = (mt[N-1]&UPPER_MASK)|(mt[0]&LOWER_MASK);
    mt[N-1] = mt[M-1] ^ (y >> 1) ^ mag01[y & 0x1UL];

    mti = 0;
  }

  y = mt[mti++];

  /* Tempering */
  y ^= (y >> 11);
  y ^= (y << 7) & 0x9d2c5680UL;
  y ^= (y << 15) & 0xefc60000UL;
  y ^= (y >> 18);

  return (vl_uint32)y;

#undef mti
#undef mt
}
vlfeat-0.9.16/vl/random.h000066400000000000000000000075721203326130700151520ustar00rootroot00000000000000/** @file random.h
 ** @brief Random number generator
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_RANDOM_H
#define VL_RANDOM_H

#include "host.h"

/** @brief Random numbber generator state */
typedef struct _VlRand {
  vl_uint32 mt [624] ;
  vl_size mti ;
} VlRand ;

/** @name Setting and reading the state
 **
 ** @{ */
VL_EXPORT void vl_rand_init (VlRand * self) ;
VL_EXPORT void vl_rand_seed (VlRand * self, vl_uint32 s) ;
VL_EXPORT void vl_rand_seed_by_array (VlRand * self,
                                      vl_uint32 const key [],
                                      vl_size keySize) ;
/** @} */

/** @name Generate random numbers
 **
 ** @{ */
VL_INLINE vl_uint64 vl_rand_uint64 (VlRand * self) ;
VL_INLINE vl_int64  vl_rand_int63  (VlRand * self) ;
VL_EXPORT vl_uint32 vl_rand_uint32 (VlRand * self) ;
VL_INLINE vl_int32  vl_rand_int31  (VlRand * self) ;
VL_INLINE double    vl_rand_real1  (VlRand * self) ;
VL_INLINE double    vl_rand_real2  (VlRand * self) ;
VL_INLINE double    vl_rand_real3  (VlRand * self) ;
VL_INLINE double    vl_rand_res53  (VlRand * self) ;
VL_INLINE vl_uindex vl_rand_uindex (VlRand * self, vl_uindex range) ;
/** @} */

/* ---------------------------------------------------------------- */

/** @brief Generate a random index in a given range
 ** @param self random number generator.
 ** @param range range.
 ** @return an index sampled uniformly at random in the interval [0, @c range - 1]
 **
 ** @remark Currently, this function uses a simple algorithm that
 ** may yield slightly biased samples if @c range is not a power of
 ** two.
 **/

VL_INLINE vl_uindex
vl_rand_uindex (VlRand * self, vl_uindex range)
{
  if (range <= 0xffffffff) {
    /* 32-bit version */
    return (vl_rand_uint32 (self) % (vl_uint32)range) ;
  } else {
    /* 64-bit version */
    return (vl_rand_uint64 (self) % range) ;
  }
}

/** @brief Generate a random UINT64
 ** @param self random number generator.
 ** @return a random number in [0, 0xffffffffffffffff].
 **/

VL_INLINE vl_uint64
vl_rand_uint64 (VlRand * self)
{
  vl_uint64 a = vl_rand_uint32 (self) ;
  vl_uint64 b = vl_rand_uint32 (self) ;
  return (a << 32) | b ;
}

/** @brief Generate a random INT63
 ** @param self random number generator.
 ** @return a random number in [0, 0x7fffffffffffffff].
 **/

VL_INLINE vl_int64
vl_rand_int63 (VlRand * self)
{
  return (vl_int64)(vl_rand_uint64 (self) >> 1) ;
}

/** @brief Generate a random INT31
 ** @param self random number generator.
 ** @return a random number in [0, 0x7fffffff].
 **/

VL_INLINE vl_int32
vl_rand_int31 (VlRand * self)
{
  return (vl_int32)(vl_rand_uint32 (self) >> 1) ;
}

/** @brief Generate a random number in [0,1]
 ** @param self random number generator.
 ** @return a random number.
 **/

VL_INLINE double
vl_rand_real1 (VlRand * self)
{
  return vl_rand_uint32(self)*(1.0/4294967295.0);
  /* divided by 2^32-1 */
}

/** @brief Generate a random number in [0,1)
 ** @param self random number generator.
 ** @return a random number.
 **/

VL_INLINE double
vl_rand_real2 (VlRand * self)
{
  return vl_rand_uint32(self)*(1.0/4294967296.0);
  /* divided by 2^32 */
}

/** @brief Generate a random number in (0,1)
 ** @param self random number generator.
 ** @return a random number.
 **/

VL_INLINE double
vl_rand_real3 (VlRand * self)
{
  return (((double)vl_rand_uint32(self)) + 0.5)*(1.0/4294967296.0);
  /* divided by 2^32 */
}

/** @brief Generate a random number in [0,1) with 53-bit resolution
 ** @param self random number generator.
 ** @return a random number.
 **/

VL_INLINE double
vl_rand_res53 (VlRand * self)
{
  vl_uint32
  a = vl_rand_uint32(self) >> 5,
  b = vl_rand_uint32(self) >> 6 ;
  return (a * 67108864.0 + b) * (1.0 / 9007199254740992.0) ;
}

/* VL_RANDOM_H */
#endif
vlfeat-0.9.16/vl/rodrigues.c000066400000000000000000000215371203326130700156650ustar00rootroot00000000000000/** @file rodirgues.c
 ** @brief Rodrigues formulas - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#include "generic.h"
#include "mathop.h"
#include "rodrigues.h"

#include 

/** @brief Rodrigues' formula
 **
 ** @param R_pt  3x3 matrix - array of 9 double (in) .
 ** @param dR_pt 9x3 matrix - array of 27 double (in).
 ** @param om_pt 3   vector - array of 3 dobule (out).
 **/
VL_EXPORT
void
vl_rodrigues(double* R_pt, double* dR_pt, const double* om_pt)
{
  /*
    Let

       th = |om|,  r=w/th,
       sth=sin(th),  cth=cos(th),
       ^om = hat(om)

    Then the rodrigues formula is an expansion of the exponential
    function:

     rodrigues(om) = exp ^om = I + ^r sth + ^r^2 (1 - cth).

    The derivative can be computed by elementary means and
    results:

    d(vec rodrigues(om))    sth  d ^r    1 - cth  d (^r)^2
    -------------------- =  ---- ----- + -------  -------- +
          d om^T             th  d r^T     th      d r^T

                          sth                     1 - cth
          + vec^r (cth - -----) + vec^r^2 (sth - 2-------)r^T
                          th                         th
  */

#define OM(i)   om_pt[(i)]
#define R(i,j)  R_pt[(i)+3*(j)]
#define DR(i,j) dR_pt[(i)+9*(j)]
#undef small

  const double small = 1e-6 ;

  double th = sqrt( OM(0)*OM(0) +
                    OM(1)*OM(1) +
                    OM(2)*OM(2) ) ;

  if( th < small ) {
    R(0,0) = 1.0 ; R(0,1) = 0.0 ; R(0,2) = 0.0 ;
    R(1,0) = 0.0 ; R(1,1) = 1.0 ; R(1,2) = 0.0 ;
    R(2,0) = 0.0 ; R(2,1) = 0.0 ; R(2,2) = 1.0 ;

    if(dR_pt) {
      DR(0,0) = 0  ; DR(0,1) = 0   ; DR(0,2) = 0 ;
      DR(1,0) = 0  ; DR(1,1) = 0   ; DR(1,2) = 1 ;
      DR(2,0) = 0  ; DR(2,1) = -1  ; DR(2,2) = 0 ;

      DR(3,0) = 0  ; DR(3,1) = 0   ; DR(3,2) = -1 ;
      DR(4,0) = 0  ; DR(4,1) = 0   ; DR(4,2) = 0 ;
      DR(5,0) = 1  ; DR(5,1) = 0   ; DR(5,2) = 0 ;

      DR(6,0) = 0  ; DR(6,1) = 1   ; DR(6,2) = 0 ;
      DR(7,0) = -1 ; DR(7,1) = 0   ; DR(7,2) = 0 ;
      DR(8,0) = 0  ; DR(8,1) = 0   ; DR(8,2) = 0 ;
    }
    return ;
  }

  {
    double x = OM(0) / th ;
    double y = OM(1) / th ;
    double z = OM(2) / th ;

    double xx = x*x ;
    double xy = x*y ;
    double xz = x*z ;
    double yy = y*y ;
    double yz = y*z ;
    double zz = z*z ;

    const double yx = xy ;
    const double zx = xz ;
    const double zy = yz ;

    double sth  = sin(th) ;
    double cth  = cos(th) ;
    double mcth = 1.0 - cth ;

    R(0,0) = 1          - mcth * (yy+zz) ;
    R(1,0) =     sth*z  + mcth * xy ;
    R(2,0) =   - sth*y  + mcth * xz ;

    R(0,1) =   - sth*z  + mcth * yx ;
    R(1,1) = 1          - mcth * (zz+xx) ;
    R(2,1) =     sth*x  + mcth * yz ;

    R(0,2) =     sth*y  + mcth * xz ;
    R(1,2) =   - sth*x  + mcth * yz ;
    R(2,2) = 1          - mcth * (xx+yy) ;

    if(dR_pt) {
      double a =  sth / th ;
      double b = mcth / th ;
      double c = cth - a ;
      double d = sth - 2*b ;

      DR(0,0) =                         - d * (yy+zz) * x ;
      DR(1,0) =        b*y   + c * zx   + d * xy      * x ;
      DR(2,0) =        b*z   - c * yx   + d * xz      * x ;

      DR(3,0) =        b*y   - c * zx   + d * xy      * x ;
      DR(4,0) =     -2*b*x              - d * (zz+xx) * x ;
      DR(5,0) =  a           + c * xx   + d * yz      * x ;

      DR(6,0) =        b*z   + c * yx   + d * zx      * x ;
      DR(7,0) = -a           - c * xx   + d * zy      * x ;
      DR(8,0) =     -2*b*x              - d * (yy+xx) * x ;

      DR(0,1) =     -2*b*y              - d * (yy+zz) * y ;
      DR(1,1) =        b*x   + c * zy   + d * xy      * y ;
      DR(2,1) = -a           - c * yy   + d * xz      * y ;

      DR(3,1) =        b*x   - c * zy   + d * xy      * y ;
      DR(4,1) =                         - d * (zz+xx) * y ;
      DR(5,1) =        b*z   + c * xy   + d * yz      * y ;

      DR(6,1) = a            + c * yy   + d * zx      * y ;
      DR(7,1) =        b*z   - c * xy   + d * zy      * y ;
      DR(8,1) =     -2*b*y              - d * (yy+xx) * y ;

      DR(0,2) =     -2*b*z              - d * (yy+zz) * z ;
      DR(1,2) =  a           + c * zz   + d * xy      * z ;
      DR(2,2) =        b*x   - c * yz   + d * xz      * z ;

      DR(3,2) =  -a          - c * zz   + d * xy      * z ;
      DR(4,2) =     -2*b*z              - d * (zz+xx) * z ;
      DR(5,2) =        b*y   + c * xz   + d * yz      * z ;

      DR(6,2) =        b*x   + c * yz   + d * zx      * z ;
      DR(7,2) =        b*y   - c * xz   + d * zy      * z ;
      DR(8,2) =                         - d * (yy+xx) * z ;
    }
  }

#undef OM
#undef R
#undef DR

}

/** @brief Inverse Rodrigues formula
 *
 ** @param om_pt  3    vector - array of 3   dobule (out).
 ** @param dom_pt 3x9  matrix - array of 3x9 dobule (out).
 ** @param R_pt   3x3  matrix - array of 9   double (in).
 **
 ** This function computes the Rodrigues formula of the argument @a
 ** om_pt. The result is stored int the matrix @a R_pt. If @a dR_pt is
 ** non null, then the derivative of the Rodrigues formula is computed
 ** and stored into the matrix @a dR_pt.
 **/

VL_EXPORT
void vl_irodrigues(double* om_pt, double* dom_pt, const double* R_pt)
{
  /*
                    tr R - 1          1    [ R32 - R23 ]
      th = cos^{-1} --------,  r =  ------ [ R13 - R31 ], w = th r.
                        2           2 sth  [ R12 - R21 ]

      sth = sin(th)

       dw    th*cth-sth      dw     th   [di3 dj2 - di2 dj3]
      ---- = ---------- r,  ---- = ----- [di1 dj3 - di3 dj1].
      dRii     2 sth^2      dRij   2 sth [di1 dj2 - di2 dj1]

      trace(A) < -1 only for small num. errors.
  */

#define OM(i)    om_pt[(i)]
#define DOM(i,j) dom_pt[(i)+3*(j)]
#define R(i,j)   R_pt[(i)+3*(j)]
#define W(i,j)   W_pt[(i)+3*(j)]

  const double small = 1e-6 ;

  double th = acos
    (0.5*(VL_MAX(R(0,0)+R(1,1)+R(2,2),-1.0) - 1.0)) ;

  double sth = sin(th) ;
  double cth = cos(th) ;

  if(fabs(sth) < small && cth < 0) {
    /*
      we have this singularity when the rotation  is about pi (or -pi)
      we use the fact that in this case

      hat( sqrt(1-cth) * r )^2 = W = (0.5*(R+R') - eye(3))

      which gives

      (1-cth) rx^2 = 0.5 * (W(1,1)-W(2,2)-W(3,3))
      (1-cth) ry^2 = 0.5 * (W(2,2)-W(3,3)-W(1,1))
      (1-cth) rz^2 = 0.5 * (W(3,3)-W(1,1)-W(2,2))
    */

    double W_pt [9], x, y, z ;
    W_pt[0] = 0.5*( R(0,0) + R(0,0) ) - 1.0 ;
    W_pt[1] = 0.5*( R(1,0) + R(0,1) ) ;
    W_pt[2] = 0.5*( R(2,0) + R(0,2) );

    W_pt[3] = 0.5*( R(0,1) + R(1,0) );
    W_pt[4] = 0.5*( R(1,1) + R(1,1) ) - 1.0;
    W_pt[5] = 0.5*( R(2,1) + R(1,2) );

    W_pt[6] =  0.5*( R(0,2) + R(2,0) ) ;
    W_pt[7] =  0.5*( R(1,2) + R(2,1) ) ;
    W_pt[8] =  0.5*( R(2,2) + R(2,2) ) - 1.0 ;

    /* these are only absolute values */
    x = sqrt( 0.5 * (W(0,0)-W(1,1)-W(2,2)) ) ;
    y = sqrt( 0.5 * (W(1,1)-W(2,2)-W(0,0)) ) ;
    z = sqrt( 0.5 * (W(2,2)-W(0,0)-W(1,1)) ) ;

    /* set the biggest component to + and use the element of the
    ** matrix W to determine the sign of the other components
    ** then the solution is either (x,y,z) or its opposite */
    if( x >= y && x >= z ) {
      y = (W(1,0) >=0) ? y : -y ;
      z = (W(2,0) >=0) ? z : -z ;
    } else if( y >= x && y >= z ) {
      z = (W(2,1) >=0) ? z : -z ;
      x = (W(1,0) >=0) ? x : -x ;
    } else {
      x = (W(2,0) >=0) ? x : -x ;
      y = (W(2,1) >=0) ? y : -y ;
    }

    /* we are left to chose between (x,y,z) and (-x,-y,-z)
    ** unfortunately we cannot (as the rotation is too close to pi) and
    ** we just keep what we have. */
    {
      double scale = th / sqrt( 1 - cth ) ;
      OM(0) = scale * x ;
      OM(1) = scale * y ;
      OM(2) = scale * z ;

      if( dom_pt ) {
        int k ;
        for(k=0; k<3*9; ++k)
          dom_pt [k] = VL_NAN_D ;
      }
      return ;
    }

  } else {
    double a = (fabs(sth) < small) ? 1 : th/sin(th) ;
    double b ;
    OM(0) = 0.5*a*(R(2,1) - R(1,2)) ;
    OM(1) = 0.5*a*(R(0,2) - R(2,0)) ;
    OM(2) = 0.5*a*(R(1,0) - R(0,1)) ;

    if( dom_pt ) {
      if( fabs(sth) < small ) {
        a = 0.5 ;
        b = 0 ;
      } else {
        a = th/(2*sth) ;
        b = (th*cth - sth)/(2*sth*sth)/th ;
      }

      DOM(0,0) = b*OM(0) ;
      DOM(1,0) = b*OM(1) ;
      DOM(2,0) = b*OM(2) ;

      DOM(0,1) = 0 ;
      DOM(1,1) = 0 ;
      DOM(2,1) = a ;

      DOM(0,2) = 0 ;
      DOM(1,2) = -a ;
      DOM(2,2) = 0 ;

      DOM(0,3) = 0 ;
      DOM(1,3) = 0 ;
      DOM(2,3) = -a ;

      DOM(0,4) = b*OM(0) ;
      DOM(1,4) = b*OM(1) ;
      DOM(2,4) = b*OM(2) ;

      DOM(0,5) = a ;
      DOM(1,5) = 0 ;
      DOM(2,5) = 0 ;

      DOM(0,6) = 0 ;
      DOM(1,6) = a ;
      DOM(2,6) = 0 ;

      DOM(0,7) = -a ;
      DOM(1,7) = 0 ;
      DOM(2,7) = 0 ;

      DOM(0,8) = b*OM(0) ;
      DOM(1,8) = b*OM(1) ;
      DOM(2,8) = b*OM(2) ;
    }
  }

#undef OM
#undef DOM
#undef R
#undef W
}
vlfeat-0.9.16/vl/rodrigues.h000066400000000000000000000014131203326130700156610ustar00rootroot00000000000000/** @file rodirgues.h
 ** @brief Rodrigues formulas
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file rodrigues.h
 
@section rodrigues Rodrigues formulas

- Use vl_rodrigues() to compute the Rodrigues formula and its derivative.
- Use vl_irodrigues() to compute the inverse Rodrigues formula and
  its derivative.

**/

#ifndef VL_RODRIGUES
#define VL_RODRIGUES

#include "generic.h"

VL_EXPORT void vl_rodrigues  (double* R_pt,  double* dR_pt, const double* om_pt) ;
VL_EXPORT void vl_irodrigues (double* om_pt, double* dom_pt, const double* R_pt) ;

/* VL_RODRIGUES */
#endif
vlfeat-0.9.16/vl/scalespace.c000066400000000000000000000512501203326130700157600ustar00rootroot00000000000000/** @file scalespace.c
 ** @brief Scale Space - Definition
 ** @author Karel Lenc
 ** @author Andrea Vedaldi
 ** @author Michal Perdoch
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@page scalespace Gaussian Scale Space
@author Karel Lenc
@author Andrea Vedaldi
@author Michal Perdoch


@ref scalespace.h implements a scale space, a data structure
fundamental in the computation of covariant features such as SIFT,
Hessian-Affine, Harris-Affine, Harris-Laplace, etc.
 
 
**/

/* todo: complete
 
- @ref scalespace-overview
- @ref scalespace-usage
- @ref scalespace-tech


@section scalespace-overview Overview


A scale space is a data structure representing an image at multiple
resolution levels. Mathematically, it is defined as a three-dimensional
function of two spatial coordinates (usually
denoted as @$f x @f$ and @f$ y @f$) and a scale coordiante (@f$ \sigma
@f$). It is usually stored in a pyramid, with the coarse scales
begin represented with a lower resolution, in order to reduce
redundancy (as low-pass images can be represented accurately with
a coarser sampling rate).


@section scalespace-usage Usage


A scale space is represented by an instance of the ::VlScaleSpace
object. This can be created as follows:

@code
VlScaleSpace ss = vl_scalespace_new(width, height,
                                    numOctaves, firstOctave,
                                    octaveResolution,
                                    octaveFirstSubdivision,
                                    octaveLastSubdivision) ;
@endcode
 
Here @c width and @c height are the image dimension, @c numOctave
is the total number of spanned octaves, and @c firstOctave
is the index of the first octave, @c octaveResolution is the number
of subdivisions per octave, and @c octaveFirstSubdivision
and @c octaveLastSubdivision define the range of the octave.




@subsection scalespace-tech Scale space


The Gaussian scale space of an image @f$ \ell(x,y) @f$ is defined as
the three-dimesnional function
 
@f[
\ell(x,y,\sigma) = (g_\sigma * \ell)(x,y),  \quad \sigma \geq 0.
@f]
 
where
 
@f[
 g_{\sigma}(\mathbf{x})
 =
 \frac{1}{2\pi\sigma^2}
 \exp
 \left(
 -\frac{1}{2}
 \frac{\mathbf{x}^\top\mathbf{x}}{\sigma^2}
 \right)
@f]
 

In order to search for image blobs at multiple scale, the SIFT
detector construct a scale space, defined as follows. Let
@f$I_0(\mathbf{x})@f$ denote an idealized infinite resolution
image. Consider the  Gaussian kernel



The Gaussian scale space is the collection of smoothed images

@f[
 I_\sigma = g_\sigma * I,  \quad \sigma \geq 0.
@f]

The image at infinite resolution @f$ I_0 @f$ is useful conceptually,
but is not available to us; instead, the input image @f$ I_{\sigma_n}
@f$ is assumed to be pre-smoothed at a nominal level @f$ \sigma_n =
0.5 @f$ to account for the finite resolution of the pixels. Thus in
practice the scale space is computed by

@f[
I_\sigma = g_{\sqrt{\sigma^2 - \sigma_n^2}} * I_{\sigma_n},
\quad \sigma \geq \sigma_n.
@f]

Scales are sampled at logarithmic steps given by

@f[
\sigma = \sigma_0 2^{o+s/S},
\quad s = 0,\dots,S-1,
\quad o = o_{\min}, \dots, o_{\min}+O-1,
@f]

where @f$ \sigma_0 = 1.6 @f$ is the base scale, @f$ o_{\min}
@f$ is the first octave index, @em O the number of
octaves and @em S the number of scales per octave.

Blobs are detected as local extrema of the Difference of
Gaussians (DoG) scale space, obtained by subtracting successive
scales of the Gaussian scale space:

@f[
\mathrm{DoG}_{\sigma(o,s)} = I_{\sigma(o,s+1)} - I_{\sigma(o,s)}
@f]

At each next octave, the resolution of the images is halved to save
computations. The images composing the Gaussian and DoG scale space
can then be arranged as in the following figure:

@image html sift-ss.png  "GSS and DoG scale space  structures."

The black vertical segments represent images of the Gaussian Scale
Space (GSS), arranged by increasing scale @f$\sigma@f$.  Notice that
the scale level index @e s varies in a slightly redundant set

@f[
s = -1, \dots, S+2
@f]

This simplifies glueing together different octaves and extracting DoG
maxima (required by the SIFT detector).

*/

#include "scalespace.h"
#include "mathop.h"

#include 
#include 
#include 
#include 
#include 


/* ---------------------------------------------------------------- */

/** @brief Get the geometry of the scale space.
 ** @param object.
 ** @return the scale space geometry.
 **/

VlScaleSpaceGeometry
vl_scalespace_get_geometry (VlScaleSpace const * self)
{
  return self->geom ;
}

/** @brief Get the geometry of an octave of the scalespace.
 ** @param object.
 ** @param o octave index.
 ** @return the geometry of the specified octave.
 **/

VlScaleSpaceOctaveGeometry
vl_scalespace_get_octave_geometry (VlScaleSpace const * self, vl_index o)
{
  VlScaleSpaceOctaveGeometry ogeom ;
  ogeom.width = VL_SHIFT_LEFT(self->geom.width, -o) ;
  ogeom.height = VL_SHIFT_LEFT(self->geom.height, -o) ;
  ogeom.step = pow(2.0, o) ;
  return ogeom ;
}


/** @brief Get the const data of a scale space level
 ** @param self object.
 ** @param o octave index.
 ** @param s level index.
 ** @return pointer to the data for octave @a o, level @a s.
 **
 ** The octave index @a o must be in the range @c firstOctave
 ** to @c lastOctave and the scale index @a s must be in the
 ** range @c octaveFirstSubdivision to @c octaveLastSubdivision.
 **/

float *
vl_scalespace_get_level (VlScaleSpace const *self, vl_index o, vl_index s)
{
  VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self,o) ;
  float * octave ;
  assert(self) ;
  assert(o >= self->geom.firstOctave) ;
  assert(o <= self->geom.lastOctave) ;
  assert(s >= self->geom.octaveFirstSubdivision) ;
  assert(s <= self->geom.octaveLastSubdivision) ;

  octave = self->octaves[o - self->geom.firstOctave] ;
  return octave + ogeom.width * ogeom.height * (s - self->geom.octaveFirstSubdivision) ;
}

/** ------------------------------------------------------------------
 ** @internal @brief Upsample the rows and take the transpose
 ** @param destination output image.
 ** @param source input image.
 ** @param width input image width.
 ** @param height input image height.
 **
 ** The output image has dimensions @a height by 2 @a width (so the
 ** destination buffer must be at least as big as two times the
 ** input buffer).
 **
 ** Upsampling is performed by linear interpolation.
 **/

static void
copy_and_upsample
(float *destination,
 float const *source, vl_size width, vl_size height)
{
  vl_index x, y, ox, oy ;
  float v00, v10, v01, v11 ;

  assert(destination) ;
  assert(source) ;

  for(y = 0 ; y < (signed)height ; ++y) {
    oy = (y < ((signed)height - 1)) * width ;
    v10 = source[0] ;
    v11 = source[oy] ;
    for(x = 0 ; x < (signed)width ; ++x) {
      ox = x < ((signed)width - 1) ;
      v00 = v10 ;
      v01 = v11 ;
      v10 = source[ox] ;
      v11 = source[ox + oy] ;
      destination[0] = v00 ;
      destination[1] = 0.5f * (v00 + v10) ;
      destination[2*width] = 0.5f * (v00 + v01) ;
      destination[2*width+1] = 0.25f * (v00 + v01 + v10 + v11) ;
      destination += 2 ;
      source ++;
    }
    destination += 2*width ;
  }
}

/** ------------------------------------------------------------------
 ** @internal @brief Downsample
 ** @param destination output imgae buffer.
 ** @param source input image buffer.
 ** @param width input image width.
 ** @param height input image height.
 ** @param numOctaves octaves (non negative).
 **
 ** The function downsamples the image @a d times, reducing it to @c
 ** 1/2^d of its original size. The parameters @a width and @a height
 ** are the size of the input image. The destination image @a dst is
 ** assumed to be floor(width/2^d) pixels wide and
 ** floor(height/2^d) pixels high.
 **/

static void
copy_and_downsample
(float *destination,
 float const *source,
 vl_size width, vl_size height, vl_size numOctaves)
{
  vl_index x, y ;
  vl_size step = 1 << numOctaves ; /* step = 2^numOctaves */

  assert(destination) ;
  assert(source) ;

  if (numOctaves == 0) {
    memcpy(destination, source, sizeof(float) * width * height) ;
  } else {
    for(y = 0 ; y < (signed)height ; y += step) {
      float const *p = source + y * width ;
      for(x = 0 ; x < (signed)width - ((signed)step - 1) ; x += step) {
        *destination++ = *p ;
        p += step ;
      }
    }
  }
}


VlScaleSpace *
vl_scalespace_new_with_geometry (VlScaleSpaceGeometry geom)
{
  vl_index o ;
  vl_size totalNumLevels = geom.octaveLastSubdivision - geom.octaveFirstSubdivision + 1 ;
  VlScaleSpace *self = vl_calloc(1, sizeof(VlScaleSpace)) ;
  if (self == NULL) goto err_alloc_self ;

  self->geom = geom ;
  self->octaves = vl_calloc(geom.lastOctave - geom.firstOctave + 1, sizeof(float*)) ;
  if (self->octaves == NULL) goto err_alloc_octaves ;
  for (o = self->geom.firstOctave ; o <= self->geom.lastOctave ; ++o) {
    VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self,o) ;
    vl_size octaveSize = ogeom.width * ogeom.height * totalNumLevels ;
    self->octaves[o - self->geom.firstOctave] = vl_malloc(octaveSize * sizeof(float)) ;
    if (self->octaves[o - self->geom.firstOctave] == NULL) goto err_alloc_octaves_o ;
  }
  return self ;

err_alloc_smoother: ;
err_alloc_octaves_o:
  for (o = self->geom.firstOctave ; o <= self->geom.lastOctave ; ++o) {
    if (self->octaves[o - self->geom.firstOctave]) {
      vl_free(self->octaves[o - self->geom.firstOctave]) ;
    }
  }
err_alloc_octaves:
  vl_free(self) ;
err_alloc_self:
  /* todo: flag error */
  return NULL ;

}

/** ------------------------------------------------------------------
 ** @brief Creates a new ::VlScaleSpace object
 ** @param width image width.
 ** @param height image height.
 ** @param numOctaves number of octaves.
 ** @param firstOctave index of the first octave.
 ** @param numLevels numeber of levels per octave.
 ** @param firstLevel index of the first level.
 ** @param lastLevel index of the last level.
 ** @return the new scale space.
 **
 ** The function allocates and returns a new ::VlScaleSpace object
 ** of the specified geometry.
 **
 ** If @a numOctaves is a negative number, the number of octaves is
 ** selected to the maximum possible given the size of the image.
 **
 ** Parameters @a firstLevel and @a lastLevel allow to define additional
 ** levels on top or bottom of the scale-space although the scale-space
 ** would be calculated with parameters based on numLevels. This is for
 ** example used when we need to compute additional levels for local
 ** extrema localisation when e.g.:
 **
 ** @code
 ** numLevels = 3, firstLevel = -1, lastLevel = 3
 ** @endcode
 **
 ** would create scale space with 5 levels indexed as:
 **
 ** @code
 ** -1  0  1  2  3
 ** @endcode
 **
 ** @sa ::vl_scalespace_delete().
 **/

VlScaleSpace *
vl_scalespace_new (vl_size width, vl_size height,
                   vl_index numOctaves, vl_index firstOctave,
                   vl_size octaveResolution,
                   vl_index octaveFirstSubdivision,
                   vl_index octaveLastSubdivision)
{
  VlScaleSpaceGeometry geom ;
  vl_size baseWidth, baseHeight, numElements ;

  assert(octaveLastSubdivision >= octaveFirstSubdivision) ;
  assert(octaveFirstSubdivision <= 0) ;
  assert(octaveLastSubdivision >= (signed)octaveResolution - 1) ;

  /* automatically figure out the number of octaves if needed */
  baseWidth = VL_SHIFT_LEFT(width, -firstOctave) ;
  baseHeight = VL_SHIFT_LEFT(height, -firstOctave) ;
  numElements = baseWidth * baseHeight ;
  if (numOctaves < 0) {
    numOctaves = VL_MAX(floor(vl_log2_d(VL_MIN(width, height))) - firstOctave - 3, 1) ;
  }

  geom.width = width ;
  geom.height = height ;
  geom.firstOctave = firstOctave ;
  geom.lastOctave = numOctaves + firstOctave - 1 ;
  geom.octaveResolution= octaveResolution ;
  geom.octaveFirstSubdivision = octaveFirstSubdivision ;
  geom.octaveLastSubdivision = octaveLastSubdivision ;
  geom.sigma0 = 1.6 * pow(2.0, 1.0 / octaveResolution) ;
  geom.sigman = 0.5 ;

  return vl_scalespace_new_with_geometry (geom) ;
}

/** @brief Delete a ::VlScaleSpace object
 ** @param self object to delete.
 ** @sa ::vl_scalespace_new
 **/

void
vl_scalespace_delete (VlScaleSpace *self)
{
  if (self) {
    if (self->octaves) {
      vl_index o ;
      for (o = self->geom.firstOctave ; o <= self->geom.lastOctave ; ++o) {
        if (self->octaves[o - self->geom.firstOctave]) {
          vl_free(self->octaves[o - self->geom.firstOctave]) ;
        }
      }
      vl_free(self->octaves) ;
    }
    vl_free(self) ;
  }
}

/** @brief Clone the scale space with all its data
 **
 ** Performs deep copy of the scale space.
 **
 ** @param self Scale space which should be cloned.
 **/

VlScaleSpace *
vl_scalespace_clone (VlScaleSpace* self)
{
  vl_index o  ;
  VlScaleSpace *copy = vl_scalespace_clone_structure(self) ;
  if (copy == NULL) goto err_alloc_copy ;
  for (o = self->geom.firstOctave ; o <= self->geom.lastOctave ; ++o) {
    VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self,o) ;
    vl_size totalNumLevels = self->geom.octaveLastSubdivision - self->geom.octaveFirstSubdivision + 1;
    memcpy(copy->octaves[o - self->geom.firstOctave],
           self->octaves[o - self->geom.firstOctave],
           ogeom.width * ogeom.height * totalNumLevels * sizeof(float)) ;
  }
  return copy ;

err_alloc_copy:
  /* todo: flag error */
  return NULL ;
}

/** @brief Clone the object but do not copy the data
 ** @param self ::VlScaleSpace object instance.
 ** @return the object copy, or @c NULL.
 **
 ** The function can fail if the memory is insufficient to hold the
 ** object copy. In this case, the function returns @c NULL.
 **/

VlScaleSpace *
vl_scalespace_clone_structure (VlScaleSpace* self)
{
  return vl_scalespace_new_with_geometry (self->geom) ;
}

double
vl_scalespace_get_level_sigma (VlScaleSpace const *self, vl_index o, vl_index s)
{
  return self->geom.sigma0 * pow(2.0, o + (double) s / self->geom.octaveResolution) ;
}


/** ------------------------------------------------------------------
 ** @internal @brief Fill octave startinf from first level
 ** @param self ::VlScaleSpace object instance.
 ** @param o octave to process.
 **
 ** The function takes the first level of octave @a o and iteratively
 ** smoothes it to obtain the other octave levels.
 **/

void
_vl_scalespace_fill_octave (VlScaleSpace *self, vl_index o)
{
  vl_index s ;
  VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self, o) ;

  for(s = self->geom.octaveFirstSubdivision + 1 ;
      s <= self->geom.octaveLastSubdivision ; ++s) {
    double sigma = vl_scalespace_get_level_sigma(self, o, s) ;
    double previousSigma = vl_scalespace_get_level_sigma(self, o, s - 1) ;
    double deltaSigma = sqrtf(sigma*sigma - previousSigma*previousSigma) ;

    float* level = vl_scalespace_get_level (self, o, s) ;
    float* previous = vl_scalespace_get_level (self, o, s-1) ;
    vl_imsmooth_f (level, ogeom.width,
                   previous, ogeom.width, ogeom.height, ogeom.width,
                   deltaSigma / ogeom.step, deltaSigma / ogeom.step) ;
  }
}

/** ------------------------------------------------------------------
 ** @internal @brief Initialize the first level of an octave from an image
 ** @param self ::VlScaleSpace object instance.
 ** @param image image data.
 ** @param o octave to start.
 **
 ** The function initializes the first level of octave @a o from
 ** image @a image. The dimensions of the image are the ones set
 ** during the creation of the ::VlScaleSpace object instance.
 **/

static void
_vl_scalespace_start_octave_from_image (VlScaleSpace *self,
                                        float const *image,
                                        vl_index o)
{
  float *level ;
  double sigma, imageSigma ;
  vl_index op ;

  assert(self) ;
  assert(image) ;
  assert(o >= self->geom.firstOctave) ;
  assert(o <= self->geom.lastOctave) ;

  /*
   * Copy the image to self->geom.octaveFirstSubdivision of octave o, upscaling or
   * downscaling as needed.
   */

  level = vl_scalespace_get_level(self, VL_MAX(0, o), self->geom.octaveFirstSubdivision) ;
  copy_and_downsample(level, image, self->geom.width, self->geom.height, VL_MAX(0, o)) ;

  for (op = -1 ; op >= o ; --op) {
    VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self, op + 1) ;
    float *succLevel = vl_scalespace_get_level(self, op + 1, self->geom.octaveFirstSubdivision) ;
    level = vl_scalespace_get_level(self, op, self->geom.octaveFirstSubdivision) ;
    copy_and_upsample(level, succLevel, ogeom.width, ogeom.height) ;
  }

  /*
   * Adjust the smoothing of the first level just initialised, accounting
   * for the fact that the input image is assumed to be a nominal scale
   * level self->sigman.
   */

  sigma = vl_scalespace_get_level_sigma(self, o, self->geom.octaveFirstSubdivision) ;
  imageSigma = self->geom.sigman ;

  if (sigma > imageSigma) {
    VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self, o) ;
    double deltaSigma = sqrt (sigma*sigma - imageSigma*imageSigma) ;
    level = vl_scalespace_get_level (self, o, self->geom.octaveFirstSubdivision) ;
    vl_imsmooth_f (level, ogeom.width,
                   level, ogeom.width, ogeom.height, ogeom.width,
                   deltaSigma / ogeom.step, deltaSigma / ogeom.step) ;
  }
}

/** ------------------------------------------------------------------
 ** @internal @brief Initialize the first level of an octave from the previous octave
 ** @param ::VlScaleSpace objet instance.
 ** @param o octave to initialize.
 **
 ** The function initializes the first level of octave @a o from the
 ** content of octave o - 1.
 **/

static void
_vl_scalespace_start_octave_from_previous_octave (VlScaleSpace *self, vl_index o)
{
  double sigma, prevSigma ;
  float *level, *prevLevel ;
  vl_index prevLevelIndex ;
  VlScaleSpaceOctaveGeometry ogeom ;

  assert(self) ;
  assert(o > self->geom.firstOctave) ; /* must not be the first octave */
  assert(o <= self->geom.lastOctave) ;

  /*
   * From the previous octave pick the level which is closer to
   * self->geom.octaveFirstSubdivision in this octave.
   * The is self->geom.octaveFirstSubdivision + self->numLevels since there are
   * self->numLevels levels in an octave, provided that
   * this value does not exceed self->geom.octaveLastSubdivision.
   */

  prevLevelIndex = VL_MIN(self->geom.octaveFirstSubdivision
                          + (signed)self->geom.octaveResolution,
                          self->geom.octaveLastSubdivision) ;
  prevLevel = vl_scalespace_get_level (self, o - 1, prevLevelIndex) ;
  level = vl_scalespace_get_level (self, o, self->geom.octaveFirstSubdivision) ;
  ogeom = vl_scalespace_get_octave_geometry(self, o - 1) ;

  copy_and_downsample (level, prevLevel, ogeom.width, ogeom.height, 1) ;

  /*
   * Add remaining smoothing, if any.
   */

  sigma = vl_scalespace_get_level_sigma(self, o, self->geom.octaveFirstSubdivision) ;
  prevSigma = vl_scalespace_get_level_sigma(self, o - 1, prevLevelIndex) ;


  if (sigma > prevSigma) {
    VlScaleSpaceOctaveGeometry ogeom = vl_scalespace_get_octave_geometry(self, o) ;
    double deltaSigma = sqrt (sigma*sigma - prevSigma*prevSigma) ;
    level = vl_scalespace_get_level (self, o, self->geom.octaveFirstSubdivision) ;
    vl_imsmooth_f (level, ogeom.width,
                   level, ogeom.width, ogeom.height, ogeom.width,
                   deltaSigma / ogeom.step, deltaSigma / ogeom.step) ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Initialise Scale space with new image
 ** @param self ::VlScaleSpace object instance.
 ** @param image image to process.
 **
 ** Compute the data of all the defined octaves and scales of the scale
 ** space @a self.
 **/

void
vl_scalespace_put_image (VlScaleSpace *self, float const *image)
{
  vl_index o ;
  _vl_scalespace_start_octave_from_image(self, image, self->geom.firstOctave) ;
  _vl_scalespace_fill_octave(self, self->geom.firstOctave) ;
  for (o = self->geom.firstOctave + 1 ; o <= self->geom.lastOctave ; ++o) {
    _vl_scalespace_start_octave_from_previous_octave(self, o) ;
    _vl_scalespace_fill_octave(self, o) ;
  }
}
vlfeat-0.9.16/vl/scalespace.h000066400000000000000000000053721203326130700157710ustar00rootroot00000000000000/** @file scalespace.h
 ** @brief Scale Space (@ref scalespace)
 ** @author Andrea Vedaldi
 ** @author Karel Lenc
 ** @author Michal Perdoch
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_SCALESPACE_H
#define VL_SCALESPACE_H

#include "generic.h"
#include "imopv.h"
#include "mathop.h"

/** @brief A set of parameters describing the scale space geometry */
typedef struct _VlScaleSpaceGeometry
{
  vl_size width ; /**< Image width */
  vl_size height ; /**< Image height */
  vl_index firstOctave ; /**< Index of the fisrt octave */
  vl_index lastOctave ; /**< Index of the last octave */
  vl_size octaveResolution ; /**< Number of octave subdivisions */
  vl_index octaveFirstSubdivision ; /**< Index of the first octave subdivsion */
  vl_index octaveLastSubdivision ; /**< Index of the last octave subdivision */
  double sigma0 ; /**< Base smoothing (smoothing of octave 0, level 0) */
  double sigman ; /**< Bominal image smoothing */
} VlScaleSpaceGeometry ;

typedef struct _VlScaleSpaceOctaveGeometry
{
  vl_size width ; /**< Width (number of pixels) */
  vl_size height ; /**< Height (number of pixels) */
  double step ; /**< Sampling step (size of a pixel) */
} VlScaleSpaceOctaveGeometry ;

/** @brief Gaussian scale space */
typedef struct _VlScaleSpace
{
  VlScaleSpaceGeometry geom ; /**< Geometry of the scale space */
  float **octaves ; /**< Data */
} VlScaleSpace ;


/** @name Create and destroy
 ** @{
 **/
VL_EXPORT VlScaleSpace *
vl_scalespace_new (vl_size width, vl_size height,
                   vl_index numOctaves, vl_index firstOctave,
                   vl_size octaveResolution,
                   vl_index octaveFirstSubdivision,
                   vl_index octaveLastSubdivision) ;

VL_EXPORT VlScaleSpace *
vl_scalespace_new_with_geometry (VlScaleSpaceGeometry geom) ;

VL_EXPORT void  vl_scalespace_delete (VlScaleSpace *self) ;
VL_EXPORT VlScaleSpace *vl_scalespace_clone_structure (VlScaleSpace* src);
VL_EXPORT VlScaleSpace *vl_scalespace_clone (VlScaleSpace* src);
/** @} */

/** @name Process data
 ** @{
 **/
VL_EXPORT void
vl_scalespace_put_image (VlScaleSpace *self, float const* image);
/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_EXPORT VlScaleSpaceGeometry vl_scalespace_get_geometry (VlScaleSpace const * self) ;
VL_EXPORT VlScaleSpaceOctaveGeometry vl_scalespace_get_octave_geometry (VlScaleSpace const * self, vl_index o) ;
VL_EXPORT float *
vl_scalespace_get_level (VlScaleSpace const *self, vl_index o, vl_index s) ;
VL_EXPORT double
vl_scalespace_get_level_sigma (VlScaleSpace const *self, vl_index o, vl_index s) ;
/** @} */

/* VL_SCALESPACE_H */
#endif

vlfeat-0.9.16/vl/shuffle-def.h000066400000000000000000000047261203326130700160600ustar00rootroot00000000000000/** @file   shuffle-def.h
 ** @brief  Shuffle preprocessor metaprogram
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/** @file shuffle-def.h

 @todo large array compatibility.
 **/

#include "host.h"
#include "random.h"
#include 

#ifndef VL_SHUFFLE_prefix
#error "VL_SHUFFLE_prefix must be defined"
#endif

#ifndef VL_SHUFFLE_array
#ifndef VL_SHUFFLE_type
#error "VL_SHUFFLE_type must be defined if VL_SHUFFLE_array is not"
#endif
#define VL_SHUFFLE_array VL_SHUFFLE_type*
#endif

#ifdef __DOXYGEN__
#define VL_SHUFFLE_prefix  ShufflePrefix       /**< Prefix of the shuffle functions */
#define VL_SHUFFLE_type    ShuffleType         /**< Data type of the shuffle elements */
#define VL_SHUFFLE_array   ShuffleType*        /**< Data type of the shuffle container */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_SHUFFLE_swap) || defined(__DOXYGEN__)
#define VL_SHUFFLE_swap VL_XCAT(VL_SHUFFLE_prefix, _swap)

/** @brief Swap two array elements
 ** @param array shuffle array.
 ** @param indexA index of the first element to swap.
 ** @param indexB index of the second element to swap.
 **
 ** The function swaps the two elements @a a and @ b. The function
 ** uses a temporary element of type ::VL_SHUFFLE_type
 ** and the copy operator @c =.
 **/

VL_INLINE void
VL_SHUFFLE_swap
(VL_SHUFFLE_array array,
 vl_uindex indexA,
 vl_uindex indexB)
{
  VL_SHUFFLE_type t = array [indexA] ;
  array [indexA] = array [indexB] ;
  array [indexB] = t ;
}

/* VL_SHUFFLE_swap */
#endif

/* ---------------------------------------------------------------- */

#if ! defined(VL_SHUFFLE_shuffle) || defined(__DOXYGEN__)
#define VL_SHUFFLE_shuffle VL_XCAT(VL_SHUFFLE_prefix, _shuffle)

/** @brief Shuffle
 ** @param array (in/out) pointer to the array.
 ** @param size size of the array.
 ** @param rand random number generator to use.
 **
 ** The function randomly permutes the array.
 **/

VL_INLINE void
VL_SHUFFLE_shuffle
(VL_SHUFFLE_array array, vl_size size, VlRand * rand)
{
  vl_uindex n = size ;
  while (n > 1) {
    vl_uindex k = vl_rand_uindex (rand, n) ;
    n -- ;
    VL_SHUFFLE_swap (array, n, k) ;
  }
}

/* VL_SHUFFLE_shuffle */
#endif

#undef VL_SHUFFLE_prefix
#undef VL_SHUFFLE_swap
#undef VL_SHUFFLE_shuffle
#undef VL_SHUFFLE_type
#undef VL_SHUFFLE_array
vlfeat-0.9.16/vl/sift.c000066400000000000000000002153411203326130700146250ustar00rootroot00000000000000/** @file sift.c
 ** @brief SIFT - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@page sift Scale Invariant Feature Transform (SIFT)
@author Andrea Vedaldi
@par "Credits:" May people have contributed with suggestions and bug
reports. Although the following list is certainly incomplete, we would
like to thank: Wei Dong, Loic, Giuseppe, Liu, Erwin, P. Ivanov, and
Q. S. Luo.


@ref sift.h implements a @ref sift-usage "SIFT filter object", a
reusable object to extract SIFT features @cite{lowe99object} from one
or multiple images.

- @ref sift-intro
  - @ref sift-intro-detector
  - @ref sift-intro-descriptor
  - @ref sift-intro-extensions
- @ref sift-usage
- @ref sift-tech
  - @ref sift-tech-ss
  - @ref sift-tech-detector
    -  @ref sift-tech-detector-peak
    -  @ref sift-tech-detector-edge
    -  @ref sift-tech-detector-orientation
  - @ref sift-tech-descriptor
    - @ref sift-tech-descriptor-can
    - @ref sift-tech-descriptor-image
    - @ref sift-tech-descriptor-std


@section sift-intro Overview


A SIFT feature is a selected image region (also called keypoint) with
an associated descriptor. Keypoints are extracted by the @ref
sift-intro-detector "SIFT detector" and their descriptors are
computed by the @ref sift-intro-descriptor "SIFT descriptor".  It is
also common to use independently the SIFT detector (i.e. computing the
keypoints without descriptors) or the SIFT descriptor (i.e.  computing
descriptors of custom keypoints).


@subsection sift-intro-detector SIFT detector


@sa
@ref sift-tech-ss "Scale space technical details",
@ref sift-tech-detector "Detector technical details"

A SIFT keypoint is a circular image region with an
orientation. It is described by a geometric frame of four
parameters: the keypoint center coordinates @e x and @e y, its @e
scale (the radius of the region), and its @e orientation (an angle
expressed in radians). The SIFT detector uses as keypoints image
structures which resemble “blobs”. By searching for blobs
at multiple scales and positions, the SIFT detector is invariant (or,
more accurately, covariant) to translation, rotations, and rescaling
of the image.

The keypoint orientation is also determined from the local image
appearance and is covariant to image rotations. Depending on the
symmetry of the keypoint appearance, determining the orientation can
be ambiguous. In this case, the SIFT detectors returns a list of up to
four possible orientations, constructing up to four frames (differing
only by their orientation) for each detected image blob.

@image html sift-frame.png "SIFT keypoints are circular image regions with an orientation."

There are several parameters that influence the detection of SIFT
keypoints. First, searching keypoints at multiple scales is obtained
by constructing a so-called “Gaussian scale space”. The
scale space is just a collection of images obtained by progressively
smoothing the input image, which is analogous to gradually reducing
the image resolution. Conventionally, the smoothing level is called
scale of the image. The construction of the scale space is
influenced by the following parameters, set when creating the SIFT
filter object by ::vl_sift_new():

- Number of octaves. Increasing the scale by an octave means
  doubling the size of the smoothing kernel, whose effect is roughly
  equivalent to halving the image resolution. By default, the scale
  space spans as many octaves as possible (i.e. roughly 
  log2(min(width,height)), which has the effect of searching
  keypoints of all possible sizes.
- First octave index. By convention, the octave of index 0
  starts with the image full resolution. Specifying an index greater
  than 0 starts the scale space at a lower resolution (e.g. 1 halves
  the resolution). Similarly, specifying a negative index starts the
  scale space at an higher resolution image, and can be useful to
  extract very small features (since this is obtained by interpolating
  the input image, it does not make much sense to go past -1).
- Number of levels per octave. Each octave is sampled at this
  given number of intermediate scales (by default 3). Increasing this
  number might in principle return more refined keypoints, but in
  practice can make their selection unstable due to noise (see [1]).

Keypoints are further refined by eliminating those that are likely to
be unstable, either because they are selected nearby an image edge,
rather than an image blob, or are found on image structures with low
contrast. Filtering is controlled by the follow:

- Peak threshold. This is the minimum amount of contrast to
  accept a keypoint. It is set by configuring the SIFT filter object
  by ::vl_sift_set_peak_thresh().
- Edge threshold. This is the edge rejection threshold. It is
  set by configuring the SIFT filter object by
  ::vl_sift_set_edge_thresh().


    
 Summary of the parameters influencing the SIFT detector.
 
    
 Parameter
 See also
 Controlled by
 Comment
 
    
 
    
 number of octaves
  @ref sift-intro-detector 
 ::vl_sift_new
 
 
    
 
    
 first octave index
  @ref sift-intro-detector 
 ::vl_sift_new
 set to -1 to extract very small features
 
    
 
    
 number of scale levels per octave
  @ref sift-intro-detector 
 ::vl_sift_new
 can affect the number of extracted keypoints
 
    
 
    
 edge threshold
  @ref sift-intro-detector 
 ::vl_sift_set_edge_thresh
 decrease to eliminate more keypoints
 
    
 
    
 peak threshold
  @ref sift-intro-detector 
 ::vl_sift_set_peak_thresh
 increase to eliminate more keypoints
 
    

    


@subsection sift-intro-descriptor SIFT Descriptor


@sa @ref sift-tech-descriptor "Descriptor technical details"

A SIFT descriptor is a 3-D spatial histogram of the image gradients in
characterizing the appearance of a keypoint. The gradient at each
pixel is regarded as a sample of a three-dimensional elementary
feature vector, formed by the pixel location and the gradient
orientation. Samples are weighed by the gradient norm and accumulated
in a 3-D histogram @em h, which (up to normalization and clamping)
forms the SIFT descriptor of the region. An additional Gaussian
weighting function is applied to give less importance to gradients
farther away from the keypoint center. Orientations are quantized into
eight bins and the spatial coordinates into four each, as follows:

@image html sift-descr-easy.png "The SIFT descriptor is a spatial histogram of the image gradient."

SIFT descriptors are computed by either calling
::vl_sift_calc_keypoint_descriptor or
::vl_sift_calc_raw_descriptor. They accept as input a keypoint
frame, which specifies the descriptor center, its size, and its
orientation on the image plane. The following parameters influence the
descriptor calculation:

- magnification factor. The descriptor size is determined by
multiplying the keypoint scale by this factor. It is set by
::vl_sift_set_magnif.
- Gaussian window size. The descriptor support is determined by
a Gaussian window, which discounts gradient contributions farther away
from the descriptor center. The standard deviation of this window is
set by ::vl_sift_set_window_size and expressed in unit of bins.

VLFeat SIFT descriptor uses the following convention. The @em y axis
points downwards and angles are measured clockwise (to be consistent
with the standard image convention). The 3-D histogram (consisting of
@f$ 8 \times 4 \times 4 = 128 @f$ bins) is stacked as a single
128-dimensional vector, where the fastest varying dimension is the
orientation and the slowest the @em y spatial coordinate. This is
illustrated by the following figure.

@image html sift-conv-vlfeat.png "VLFeat conventions"

@note Keypoints (frames) D. Lowe's SIFT implementation convention is
slightly different: The @em y axis points upwards and the angles are
measured counter-clockwise.

@image html sift-conv.png "D. Lowes' SIFT implementation conventions"


    
 Summary of the parameters influencing the SIFT descriptor.
 
    
 Parameter
 See also
 Controlled by
 Comment
 
    
 
    
 magnification factor
  @ref sift-intro-descriptor 
 ::vl_sift_set_magnif
 increase this value to enlarge the image region described
 
    
 
    
 Gaussian window size
  @ref sift-intro-descriptor 
 ::vl_sift_set_window_size
 smaller values let the center of the descriptor count more
 
    

    



@section sift-intro-extensions Extensions


Eliminating low-contrast descriptors. Near-uniform patches do
not yield stable keypoints or descriptors. ::vl_sift_set_norm_thresh()
can be used to set a threshold on the average norm of the local
gradient to zero-out descriptors that correspond to very low contrast
regions. By default, the threshold is equal to zero, which means that
no descriptor is zeroed. Normally this option is useful only with
custom keypoints, as detected keypoints are implicitly selected at
high contrast image regions.


@section sift-usage Using the SIFT filter object


The code provided in this module can be used in different ways.  You
can instantiate and use a SIFT filter to extract both SIFT
keypoints and descriptors from one or multiple images. Alternatively,
you can use one of the low level functions to run only a part of the
SIFT algorithm (for instance, to compute the SIFT descriptors of
custom keypoints).

To use a SIFT filter object:

- Initialize a SIFT filter object with ::vl_sift_new(). The filter can
  be reused for multiple images of the same size (e.g. for an entire
  video sequence).
- For each octave in the scale space:
  - Compute the next octave of the DOG scale space using either
   ::vl_sift_process_first_octave() or ::vl_sift_process_next_octave()
   (stop processing if ::VL_ERR_EOF is returned).
  - Run the SIFT detector with ::vl_sift_detect() to get the keypoints.
  - For each keypoint:
    - Use ::vl_sift_calc_keypoint_orientations() to get the keypoint orientation(s).
    - For each orientation:
      - Use ::vl_sift_calc_keypoint_descriptor() to get the keypoint descriptor.
- Delete the SIFT filter by ::vl_sift_delete().

To compute SIFT descriptors of custom keypoints, use
::vl_sift_calc_raw_descriptor().


@section sift-tech Technical details



@subsection sift-tech-ss Scale space


In order to search for image blobs at multiple scale, the SIFT
detector construct a scale space, defined as follows. Let
@f$I_0(\mathbf{x})@f$ denote an idealized infinite resolution
image. Consider the  Gaussian kernel

@f[
 g_{\sigma}(\mathbf{x})
 =
 \frac{1}{2\pi\sigma^2}
 \exp
 \left(
 -\frac{1}{2}
 \frac{\mathbf{x}^\top\mathbf{x}}{\sigma^2}
 \right)
@f]

The Gaussian scale space is the collection of smoothed images

@f[
 I_\sigma = g_\sigma * I,  \quad \sigma \geq 0.
@f]

The image at infinite resolution @f$ I_0 @f$ is useful conceptually,
but is not available to us; instead, the input image @f$ I_{\sigma_n}
@f$ is assumed to be pre-smoothed at a nominal level @f$ \sigma_n =
0.5 @f$ to account for the finite resolution of the pixels. Thus in
practice the scale space is computed by

@f[
I_\sigma = g_{\sqrt{\sigma^2 - \sigma_n^2}} * I_{\sigma_n},
\quad \sigma \geq \sigma_n.
@f]

Scales are sampled at logarithmic steps given by

@f[
\sigma = \sigma_0 2^{o+s/S},
\quad s = 0,\dots,S-1,
\quad o = o_{\min}, \dots, o_{\min}+O-1,
@f]

where @f$ \sigma_0 = 1.6 @f$ is the base scale, @f$ o_{\min}
@f$ is the first octave index, @em O the number of
octaves and @em S the number of scales per octave.

Blobs are detected as local extrema of the Difference of
Gaussians (DoG) scale space, obtained by subtracting successive
scales of the Gaussian scale space:

@f[
\mathrm{DoG}_{\sigma(o,s)} = I_{\sigma(o,s+1)} - I_{\sigma(o,s)}
@f]

At each next octave, the resolution of the images is halved to save
computations. The images composing the Gaussian and DoG scale space
can then be arranged as in the following figure:

@image html sift-ss.png  "GSS and DoG scale space  structures."

The black vertical segments represent images of the Gaussian Scale
Space (GSS), arranged by increasing scale @f$\sigma@f$.  Notice that
the scale level index @e s varies in a slightly redundant set

@f[
s = -1, \dots, S+2
@f]

This simplifies glueing together different octaves and extracting DoG
maxima (required by the SIFT detector).


@subsection sift-tech-detector Detector


The SIFT frames (keypoints) are extracted based on local extrema
(peaks) of the DoG scale space. Numerically, local extrema are
elements whose @f$ 3 \times 3 \times 3 @f$ neighbors (in space and
scale) have all smaller (or larger) value.  Once extracted, local
extrema are quadratically interpolated (this is very important
especially at the lower resolution scales in order to have accurate
keypoint localization at the full resolution).  Finally, they are
filtered to eliminate low-contrast responses or responses close to
edges and the orientation(s) are assigned, as explained next.


@subsubsection sift-tech-detector-peak Eliminating low contrast responses


Peaks which are too short may have been generated by noise and are
discarded.  This is done by comparing the absolute value of the DoG
scale space at the peak with the peak threshold @f$t_p@f$ and
discarding the peak its value is below the threshold.


@subsubsection sift-tech-detector-edge Eliminating edge responses


Peaks which are too flat are often generated by edges and do not yield
stable features. These peaks are detected and removed as follows.
Given a peak @f$x,y,\sigma@f$, the algorithm evaluates the @em x,@em y
Hessian of of the DoG scale space at the scale @f$\sigma@f$.  Then the
following score (similar to the Harris function) is computed:

@f[
\frac{(\mathrm{tr}\,D(x,y,\sigma))^2}{\det D(x,y,\sigma)},
\quad
D =
\left[
\begin{array}{cc}
\frac{\partial^2 \mathrm{DoG}}{\partial x^2} &
\frac{\partial^2 \mathrm{DoG}}{\partial x\partial y} \\
\frac{\partial^2 \mathrm{DoG}}{\partial x\partial y} &
\frac{\partial^2 \mathrm{DoG}}{\partial y^2}
\end{array}
\right].
 @f]

This score has a minimum (equal to 4) when both eigenvalues of the
Jacobian are equal (curved peak) and increases as one of the
eigenvalues grows and the other stays small. Peaks are retained if the
score is below the quantity @f$(t_e+1)(t_e+1)/t_e@f$, where @f$t_e@f$
is the edge threshold. Notice that this quantity has a minimum
equal to 4 when @f$t_e=1@f$ and grows thereafter. Therefore the range
of the edge threshold is @f$[1,\infty)@f$.


@subsection sift-tech-detector-orientation Orientation assignment


A peak in the DoG scale space fixes 2 parameters of the keypoint: the
position and scale. It remains to choose an orientation. In order to
do this, SIFT computes an histogram of the gradient orientations in a
Gaussian window with a standard deviation which is 1.5 times bigger
than the scale @f$\sigma@f$ of the keypoint.

@image html sift-orient.png

This histogram is then smoothed and the maximum is selected.  In
addition to the biggest mode, up to other three modes whose amplitude
is within the 80% of the biggest mode are retained and returned as
additional orientations.


@subsection sift-tech-descriptor Descriptor


A SIFT descriptor of a local region (keypoint) is a 3-D spatial
histogram of the image gradients.  The gradient at each pixel is
regarded as a sample of a three-dimensional elementary feature vector,
formed by the pixel location and the gradient orientation. Samples are
weighed by the gradient norm and accumulated in a 3-D histogram @em h,
which (up to normalization and clamping) forms the SIFT descriptor of
the region. An additional Gaussian weighting function is applied to
give less importance to gradients farther away from the keypoint
center.




@subsubsection sift-tech-descriptor-can Construction in the canonical frame


Denote the gradient vector field computed at the scale @f$ \sigma @f$ by
@f[
  J(x,y) = \nalba I_\sigma(x,y)
  =
  \left[\begin{array}{cc}
  \frac{\partial I_\sigma}{\partial x} &
  \frac{\partial I_\sigma}{\partial y} &
  \end{array}\right]
@f]

The descriptor is a 3-D spatial histogram capturing the distribution
of @f$ J(x,y) @f$. It is convenient to describe its construction in
the canonical frame. In this frame, the image and descriptor
axes coincide and each spatial bin has side 1. The histogram has @f$
N_\theta \times N_x \times N_y @f$ bins (usually @f$ 8 \times 4 \times
4 @f$), as in the following figure:

@image html sift-can.png Canonical SIFT descriptor and spatial binning functions

Bins are indexed by a triplet of indexes t, i, j and their
centers are given by

@f{eqnarray*}
 \theta_t &=& \frac{2\pi}{N_\theta} t, \quad t = 0,\dots,N_{\theta}-1, \\
 x_i &=& i - \frac{N_x -1}{2}, \quad i = 0,\dots,N_x-1, \\
 y_j &=& j - \frac{N_x -1}{2}, \quad j = 0,\dots,N_y-1. \\
@f}

The histogram is computed by using trilinear interpolation, i.e.  by
weighing contributions by the binning functions

@f{eqnarray*}
  \displaystyle
  w(z) &=& \mathrm{max}(0, 1 - |z|),
  \\
  \displaystyle
  w_\mathrm{ang}(z) &=& \sum_{k=-\infty}^{+\infty}
  w\left(
  \frac{N_\theta}{2\pi} z + N_\theta k
  \right).
@f}

The gradient vector field is transformed in a three-dimensional
density map of weighed contributions

@f[
   f(\theta, x, y) = |J(x,y)| \delta(\theta - \angle J(x,y))
@f]

The historam is localized in the keypoint support by a Gaussian window
of standard deviation @f$ \sigma_{\mathrm{win}} @f$. The histogram is
then given by

@f{eqnarray*}
 h(t,i,j) &=& \int
 g_{\sigma_\mathrm{win}}(x,y)
 w_\mathrm{ang}(\theta - \theta_t) w(x-x_i) w(y-y_j)
 f(\theta,x,y)
 d\theta\,dx\,dy
\\
&=& \int
 g_{\sigma_\mathrm{win}}(x,y)
 w_\mathrm{ang}(\angle J(x,y) - \theta_t) w(x-x_i) w(y-y_j)
 |J(x,y)|\,dx\,dy
@f}

In post processing, the histogram is @f$ l^2 @f$ normalized, then
clamped at 0.2, and @f$ l^2 @f$ normalized again.


@subsubsection sift-tech-descriptor-image Calculation in the image frame


Invariance to similarity transformation is attained by attaching
descriptors to SIFT keypoints (or other similarity-covariant frames).
Then projecting the image in the canonical descriptor frames has the
effect of undoing the image deformation.

In practice, however, it is convenient to compute the descriptor
directly in the image frame. To do this, denote with a hat quantities
relative to the canonical frame and without a hat quantities relative
to the image frame (so for instance @f$ \hat x @f$ is the @e
x-coordinate in the canonical frame and @f$ x @f$ the x-coordinate in
the image frame). Assume that canonical and image frame are
related by an affinity:

@f[
  \mathbf{x} = A \hat\mathbf{x} + T,
  \qquad
  \mathbf{x} =
  \left[\begin{array}{cc}
    x \\
    y
  \end{arraty}\right],
  \quad
  \hat\mathbf{x} =
  \left[\begin{array}{cc}
    \hat x \\
    \hat y
  \end{arraty}\right].
@f]

@image html sift-image-frame.png

Then all quantities can be computed in the image frame directly. For instance,
the image at infinite resolution in the two frames are related by

@f[
 \hat I_0(\hat{\mathbf{x}})  = I_0(\mathbf{x}),
 \qquad
 \mathbf{x} = A \hat{\mathbf{x}} + T.
@f]

The canonized image at scale @f$ \hat \sigma @f$ is in relation with the scaled image

@f[
 \hat I_{\hat{\sigma}}(\hat{\mathbf{x}})  = I_{A\hat{\sigma}}(\mathbf{x}),
 \qquad \mathbf{x} = A \hat{\mathbf{x}} + T
@f]

where, by generalizing the previous definitions, we have

@f[
 I_{A\hat \sigma}(\mathbf{x}) = (g_{A\hat\sigma} * I_0)(\mathbf{x}),
\quad
 g_{A\hat\sigma}(\mathbf{x})
 =
 \frac{1}{2\pi|A|\hat \sigma^2}
 \exp
 \left(
 -\frac{1}{2}
 \frac{\mathbf{x}^\top A^{-\top}A^{-1}\mathbf{x}}{\hat \sigma^2}
 \right)
@f]

Deriving shows that the gradient fields are in relation

@f[
  \hat J(\hat{\mathbf{x}}) = J(\mathbf{x}) A,
 \quad J(\mathbf{x}) = (\nabla I_{A\hat\sigma})(\mathbf{x}),
 \qquad \mathbf{x} = A \hat{\mathbf{x}} + T.
@f]

Therefore we can compute the descriptor either in the image or canonical frame as:

@f{eqnarray*}
 h(t,i,j)
 &=&
 \int
 g_{\hat \sigma_\mathrm{win}}(\hat{\mathbf{x}})\,
 w_\mathrm{ang}(\angle \hat J(\hat{\mathbf{x}}) - \theta_t)\,
 w_{ij}(\hat{\mathbf{x}})\,
 |\hat J(\hat{\mathbf{x}})|\,
 d\hat{\mathbf{x}}
 \\
 &=& \int
 g_{A \hat \sigma_\mathrm{win}}(\mathbf{x} - T)\,
 w_\mathrm{ang}(\angle J(\mathbf{x})A - \theta_t)\,
 w_{ij}(A^{-1}(\mathbf{x} - T))\,
 |J(\mathbf{x})A|\,
 d\mathbf{x}.
@f}

where we defined the product of the two spatial binning functions

@f[
 w_{ij}(\hat{\mathbf{x}}) = w(\hat x - \hat x_i) w(\hat y - \hat y_j)
@f]


In the actual implementation, this integral is computed by visiting a
rectangular area of the image that fully contains the keypoint grid
(along with half a bin border to fully include the bin windowing
function). Since the descriptor can be rotated, this area is a
rectangle of sides @f$m/2\sqrt{2} (N_x+1,N_y+1)@f$ (see also the
illustration).


@subsubsection sift-tech-descriptor-std Standard SIFT descriptor


For a SIFT-detected keypoint of center @f$ T @f$, scale @f$ \sigma @f$
and orientation @f$ \theta @f$, the affine transformation @f$ (A,T)
@f$ reduces to the similarity transformation

@f[
     \mathbf{x} = m \sigma R(\theta) \hat{\mathbf{x}} + T
@f]

where @f$ R(\theta) @f$ is a counter-clockwise rotation of @f$ \theta
@f$ radians, @f$ m \mathcal{\sigma} @f$ is the size of a descriptor
bin in pixels, and @e m is the descriptor magnification factor
which expresses how much larger a descriptor bin is compared to
the scale of the keypoint @f$ \sigma @f$
(the default value is @e m = 3). Moreover, the
standard SIFT descriptor computes the image gradient at the scale of
the keypoints, which in the canonical frame is equivalent to a
smoothing of @f$ \hat \sigma = 1/m @f$. Finally, the default
Gaussian window size is set to have standard deviation
 @f$ \hat \sigma_\mathrm{win} = 2 @f$. This yields the formula

@f{eqnarray*}
 h(t,i,j)
 &=&
 m \sigma \int
 g_{\sigma_\mathrm{win}}(\mathbf{x} - T)\,
 w_\mathrm{ang}(\angle J(\mathbf{x}) - \theta  - \theta_t)\,
 w_{ij}\left(\frac{R(\theta)^\top \mathbf{x} - T}{m\sigma}\right)\,
 |J(\mathbf{x})|\,
 d\mathbf{x},
\\
\sigma_{\mathrm{win}} &=& m\sigma\hat \sigma_{\mathrm{win}},
\\
 J(\mathbf{x})
 &=& \nabla (g_{m \sigma \hat \sigma} * I)(\mathbf{x})
 = \nabla (g_{\sigma} * I)(\mathbf{x})
 = \nabla I_{\sigma} (\mathbf{x}).
@f}



**/

#include "sift.h"
#include "imopv.h"
#include "mathop.h"

#include 
#include 
#include 
#include 
#include 

/** @internal @brief Use bilinear interpolation to compute orientations */
#define VL_SIFT_BILINEAR_ORIENTATIONS 1

#define EXPN_SZ  256          /**< ::fast_expn table size @internal */
#define EXPN_MAX 25.0         /**< ::fast_expn table max  @internal */
double expn_tab [EXPN_SZ+1] ; /**< ::fast_expn table      @internal */

#define NBO 8
#define NBP 4

#define log2(x) (log(x)/VL_LOG_OF_2)

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Fast @f$exp(-x)@f$ approximation
 **
 ** @param x argument.
 **
 ** The argument must be in the range [0, ::EXPN_MAX] .
 **
 ** @return approximation of @f$exp(-x)@f$.
 **/

VL_INLINE double
fast_expn (double x)
{
  double a,b,r ;
  int i ;
  /*assert(0 <= x && x <= EXPN_MAX) ;*/

  if (x > EXPN_MAX) return 0.0 ;

  x *= EXPN_SZ / EXPN_MAX ;
  i = (int)vl_floor_d (x) ;
  r = x - i ;
  a = expn_tab [i    ] ;
  b = expn_tab [i + 1] ;
  return a + r * (b - a) ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Initialize tables for ::fast_expn
 **/

VL_INLINE void
fast_expn_init ()
{
  int k  ;
  for(k = 0 ; k < EXPN_SZ + 1 ; ++ k) {
    expn_tab [k] = exp (- (double) k * (EXPN_MAX / EXPN_SZ)) ;
  }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Copy image, upsample rows and take transpose
 **
 ** @param dst     output image buffer.
 ** @param src     input image buffer.
 ** @param width   input image width.
 ** @param height  input image height.
 **
 ** The output image has dimensions @a height by 2 @a width (so the
 ** destination buffer must be at least as big as two times the
 ** input buffer).
 **
 ** Upsampling is performed by linear interpolation.
 **/

static void
copy_and_upsample_rows
(vl_sift_pix       *dst,
 vl_sift_pix const *src, int width, int height)
{
  int x, y ;
  vl_sift_pix a, b ;

  for(y = 0 ; y < height ; ++y) {
    b = a = *src++ ;
    for(x = 0 ; x < width - 1 ; ++x) {
      b = *src++ ;
      *dst = a ;             dst += height ;
      *dst = 0.5 * (a + b) ; dst += height ;
      a = b ;
    }
    *dst = b ; dst += height ;
    *dst = b ; dst += height ;
    dst += 1 - width * 2 * height ;
  }
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Smooth an image
 ** @param self        SIFT filter.
 ** @param outputImage output imgae buffer.
 ** @param tempImage   temporary image buffer.
 ** @param inputImage  input image buffer.
 ** @param width       input image width.
 ** @param height      input image height.
 ** @param sigma       smoothing.
 **/

static void
_vl_sift_smooth (VlSiftFilt * self,
                 vl_sift_pix * outputImage,
                 vl_sift_pix * tempImage,
                 vl_sift_pix const * inputImage,
                 vl_size width,
                 vl_size height,
                 double sigma)
{
  /* prepare Gaussian filter */
  if (self->gaussFilterSigma != sigma) {
    vl_uindex j ;
    vl_sift_pix acc = 0 ;
    if (self->gaussFilter) vl_free (self->gaussFilter) ;
    self->gaussFilterWidth = VL_MAX(ceil(4.0 * sigma), 1) ;
    self->gaussFilterSigma = sigma ;
    self->gaussFilter = vl_malloc (sizeof(vl_sift_pix) * (2 * self->gaussFilterWidth + 1)) ;

    for (j = 0 ; j < 2 * self->gaussFilterWidth + 1 ; ++j) {
      vl_sift_pix d = ((vl_sift_pix)((signed)j - (signed)self->gaussFilterWidth)) / ((vl_sift_pix)sigma) ;
      self->gaussFilter[j] = (vl_sift_pix) exp (- 0.5 * (d*d)) ;
      acc += self->gaussFilter[j] ;
    }
    for (j = 0 ; j < 2 * self->gaussFilterWidth + 1 ; ++j) {
      self->gaussFilter[j] /= acc ;
    }
  }

  if (self->gaussFilterWidth == 0) {
    memcpy (outputImage, inputImage, sizeof(vl_sift_pix) * width * height) ;
    return ;
  }

  vl_imconvcol_vf (tempImage, height,
                   inputImage, width, height, width,
                   self->gaussFilter,
                   - self->gaussFilterWidth, self->gaussFilterWidth,
                   1, VL_PAD_BY_CONTINUITY | VL_TRANSPOSE) ;

  vl_imconvcol_vf (outputImage, width,
                   tempImage, height, width, height,
                   self->gaussFilter,
                   - self->gaussFilterWidth, self->gaussFilterWidth,
                   1, VL_PAD_BY_CONTINUITY | VL_TRANSPOSE) ;
}

/** ------------------------------------------------------------------
 ** @internal
 ** @brief Copy and downsample an image
 **
 ** @param dst    output imgae buffer.
 ** @param src    input  image buffer.
 ** @param width  input  image width.
 ** @param height input  image height.
 ** @param d      octaves (non negative).
 **
 ** The function downsamples the image @a d times, reducing it to @c
 ** 1/2^d of its original size. The parameters @a width and @a height
 ** are the size of the input image. The destination image @a dst is
 ** assumed to be floor(width/2^d) pixels wide and
 ** floor(height/2^d) pixels high.
 **/

static void
copy_and_downsample
(vl_sift_pix       *dst,
 vl_sift_pix const *src,
 int width, int height, int d)
{
  int x, y ;

  d = 1 << d ; /* d = 2^d */
  for(y = 0 ; y < height ; y+=d) {
    vl_sift_pix const * srcrowp = src + y * width ;
    for(x = 0 ; x < width - (d-1) ; x+=d) {
      *dst++ = *srcrowp ;
      srcrowp += d ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief Create a new SIFT filter
 **
 ** @param width    image width.
 ** @param height   image height.
 ** @param noctaves number of octaves.
 ** @param nlevels  number of levels per octave.
 ** @param o_min    first octave index.
 **
 ** The function allocates and returns a new SIFT filter for the
 ** specified image and scale space geometry.
 **
 ** Setting @a O to a negative value sets the number of octaves to the
 ** maximum possible value depending on the size of the image.
 **
 ** @return the new SIFT filter.
 ** @sa ::vl_sift_delete().
 **/

VL_EXPORT
VlSiftFilt *
vl_sift_new (int width, int height,
             int noctaves, int nlevels,
             int o_min)
{
  VlSiftFilt *f = vl_malloc (sizeof(VlSiftFilt)) ;

  int w   = VL_SHIFT_LEFT (width,  -o_min) ;
  int h   = VL_SHIFT_LEFT (height, -o_min) ;
  int nel = w * h ;

  /* negative value O => calculate max. value */
  if (noctaves < 0) {
    noctaves = VL_MAX (floor (log2 (VL_MIN(width, height))) - o_min - 3, 1) ;
  }

  f-> width   = width ;
  f-> height  = height ;
  f-> O       = noctaves ;
  f-> S       = nlevels ;
  f-> o_min   = o_min ;
  f-> s_min   = -1 ;
  f-> s_max   = nlevels + 1 ;
  f-> o_cur   = o_min ;

  f-> temp    = vl_malloc (sizeof(vl_sift_pix) * nel    ) ;
  f-> octave  = vl_malloc (sizeof(vl_sift_pix) * nel
                        * (f->s_max - f->s_min + 1)  ) ;
  f-> dog     = vl_malloc (sizeof(vl_sift_pix) * nel
                        * (f->s_max - f->s_min    )  ) ;
  f-> grad    = vl_malloc (sizeof(vl_sift_pix) * nel * 2
                        * (f->s_max - f->s_min    )  ) ;

  f-> sigman  = 0.5 ;
  f-> sigmak  = pow (2.0, 1.0 / nlevels) ;
  f-> sigma0  = 1.6 * f->sigmak ;
  f-> dsigma0 = f->sigma0 * sqrt (1.0 - 1.0 / (f->sigmak*f->sigmak)) ;

  f-> gaussFilter = NULL ;
  f-> gaussFilterSigma = 0 ;
  f-> gaussFilterWidth = 0 ;

  f-> octave_width  = 0 ;
  f-> octave_height = 0 ;

  f-> keys     = 0 ;
  f-> nkeys    = 0 ;
  f-> keys_res = 0 ;

  f-> peak_thresh = 0.0 ;
  f-> edge_thresh = 10.0 ;
  f-> norm_thresh = 0.0 ;
  f-> magnif      = 3.0 ;
  f-> windowSize  = NBP / 2 ;

  f-> grad_o  = o_min - 1 ;

  /* initialize fast_expn stuff */
  fast_expn_init () ;

  return f ;
}

/** -------------------------------------------------------------------
 ** @brief Delete SIFT filter
 **
 ** @param f SIFT filter to delete.
 **
 ** The function frees the resources allocated by ::vl_sift_new().
 **/

VL_EXPORT
void
vl_sift_delete (VlSiftFilt* f)
{
  if (f) {
    if (f->keys) vl_free (f->keys) ;
    if (f->grad) vl_free (f->grad) ;
    if (f->dog) vl_free (f->dog) ;
    if (f->octave) vl_free (f->octave) ;
    if (f->temp) vl_free (f->temp) ;
    if (f->gaussFilter) vl_free (f->gaussFilter) ;
    vl_free (f) ;
  }
}

/** ------------------------------------------------------------------
 ** @brief Start processing a new image
 **
 ** @param f  SIFT filter.
 ** @param im image data.
 **
 ** The function starts processing a new image by computing its
 ** Gaussian scale space at the lower octave. It also empties the
 ** internal keypoint buffer.
 **
 ** @return error code. The function returns ::VL_ERR_EOF if there are
 ** no more octaves to process.
 **
 ** @sa ::vl_sift_process_next_octave().
 **/

VL_EXPORT
int
vl_sift_process_first_octave (VlSiftFilt *f, vl_sift_pix const *im)
{
  int o, s, h, w ;
  double sa, sb ;
  vl_sift_pix *octave ;

  /* shortcuts */
  vl_sift_pix *temp   = f-> temp ;
  int width           = f-> width ;
  int height          = f-> height ;
  int o_min           = f-> o_min ;
  int s_min           = f-> s_min ;
  int s_max           = f-> s_max ;
  double sigma0       = f-> sigma0 ;
  double sigmak       = f-> sigmak ;
  double sigman       = f-> sigman ;
  double dsigma0      = f-> dsigma0 ;

  /* restart from the first */
  f->o_cur = o_min ;
  f->nkeys = 0 ;
  w = f-> octave_width  = VL_SHIFT_LEFT(f->width,  - f->o_cur) ;
  h = f-> octave_height = VL_SHIFT_LEFT(f->height, - f->o_cur) ;

  /* is there at least one octave? */
  if (f->O == 0)
    return VL_ERR_EOF ;

  /* ------------------------------------------------------------------
   *                     Compute the first sublevel of the first octave
   * --------------------------------------------------------------- */

  /*
   * If the first octave has negative index, we upscale the image; if
   * the first octave has positive index, we downscale the image; if
   * the first octave has index zero, we just copy the image.
   */

  octave = vl_sift_get_octave (f, s_min) ;

  if (o_min < 0) {
    /* double once */
    copy_and_upsample_rows (temp,   im,   width,      height) ;
    copy_and_upsample_rows (octave, temp, height, 2 * width ) ;

    /* double more */
    for(o = -1 ; o > o_min ; --o) {
      copy_and_upsample_rows (temp, octave,
                              width << -o,      height << -o ) ;
      copy_and_upsample_rows (octave, temp,
                              width << -o, 2 * (height << -o)) ;
    }
  }
  else if (o_min > 0) {
    /* downsample */
    copy_and_downsample (octave, im, width, height, o_min) ;
  }
  else {
    /* direct copy */
    memcpy(octave, im, sizeof(vl_sift_pix) * width * height) ;
  }

  /*
   * Here we adjust the smoothing of the first level of the octave.
   * The input image is assumed to have nominal smoothing equal to
   * f->simgan.
   */

  sa = sigma0 * pow (sigmak,   s_min) ;
  sb = sigman * pow (2.0,    - o_min) ;

  if (sa > sb) {
    double sd = sqrt (sa*sa - sb*sb) ;
    _vl_sift_smooth (f, octave, temp, octave, w, h, sd) ;
  }

  /* -----------------------------------------------------------------
   *                                          Compute the first octave
   * -------------------------------------------------------------- */

  for(s = s_min + 1 ; s <= s_max ; ++s) {
    double sd = dsigma0 * pow (sigmak, s) ;
    _vl_sift_smooth (f, vl_sift_get_octave(f, s), temp,
                     vl_sift_get_octave(f, s - 1), w, h, sd) ;
  }

  return VL_ERR_OK ;
}

/** ------------------------------------------------------------------
 ** @brief Process next octave
 **
 ** @param f SIFT filter.
 **
 ** The function computes the next octave of the Gaussian scale space.
 ** Notice that this clears the record of any feature detected in the
 ** previous octave.
 **
 ** @return error code. The function returns the error
 ** ::VL_ERR_EOF when there are no more octaves to process.
 **
 ** @sa ::vl_sift_process_first_octave().
 **/

VL_EXPORT
int
vl_sift_process_next_octave (VlSiftFilt *f)
{

  int s, h, w, s_best ;
  double sa, sb ;
  vl_sift_pix *octave, *pt ;

  /* shortcuts */
  vl_sift_pix *temp   = f-> temp ;
  int O               = f-> O ;
  int S               = f-> S ;
  int o_min           = f-> o_min ;
  int s_min           = f-> s_min ;
  int s_max           = f-> s_max ;
  double sigma0       = f-> sigma0 ;
  double sigmak       = f-> sigmak ;
  double dsigma0      = f-> dsigma0 ;

  /* is there another octave ? */
  if (f->o_cur == o_min + O - 1)
    return VL_ERR_EOF ;

  /* retrieve base */
  s_best = VL_MIN(s_min + S, s_max) ;
  w      = vl_sift_get_octave_width  (f) ;
  h      = vl_sift_get_octave_height (f) ;
  pt     = vl_sift_get_octave        (f, s_best) ;
  octave = vl_sift_get_octave        (f, s_min) ;

  /* next octave */
  copy_and_downsample (octave, pt, w, h, 1) ;

  f-> o_cur            += 1 ;
  f-> nkeys             = 0 ;
  w = f-> octave_width  = VL_SHIFT_LEFT(f->width,  - f->o_cur) ;
  h = f-> octave_height = VL_SHIFT_LEFT(f->height, - f->o_cur) ;

  sa = sigma0 * powf (sigmak, s_min     ) ;
  sb = sigma0 * powf (sigmak, s_best - S) ;

  if (sa > sb) {
    double sd = sqrt (sa*sa - sb*sb) ;
    _vl_sift_smooth (f, octave, temp, octave, w, h, sd) ;
  }

  /* ------------------------------------------------------------------
   *                                                        Fill octave
   * --------------------------------------------------------------- */

  for(s = s_min + 1 ; s <= s_max ; ++s) {
    double sd = dsigma0 * pow (sigmak, s) ;
    _vl_sift_smooth (f, vl_sift_get_octave(f, s), temp,
                     vl_sift_get_octave(f, s - 1), w, h, sd) ;
  }

  return VL_ERR_OK ;
}

/** ------------------------------------------------------------------
 ** @brief Detect keypoints
 **
 ** The function detect keypoints in the current octave filling the
 ** internal keypoint buffer. Keypoints can be retrieved by
 ** ::vl_sift_get_keypoints().
 **
 ** @param f SIFT filter.
 **/

VL_EXPORT
void
vl_sift_detect (VlSiftFilt * f)
{
  vl_sift_pix* dog   = f-> dog ;
  int          s_min = f-> s_min ;
  int          s_max = f-> s_max ;
  int          w     = f-> octave_width ;
  int          h     = f-> octave_height ;
  double       te    = f-> edge_thresh ;
  double       tp    = f-> peak_thresh ;

  int const    xo    = 1 ;      /* x-stride */
  int const    yo    = w ;      /* y-stride */
  int const    so    = w * h ;  /* s-stride */

  double       xper  = pow (2.0, f->o_cur) ;

  int x, y, s, i, ii, jj ;
  vl_sift_pix *pt, v ;
  VlSiftKeypoint *k ;

  /* clear current list */
  f-> nkeys = 0 ;

  /* compute difference of gaussian (DoG) */
  pt = f-> dog ;
  for (s = s_min ; s <= s_max - 1 ; ++s) {
    vl_sift_pix* src_a = vl_sift_get_octave (f, s    ) ;
    vl_sift_pix* src_b = vl_sift_get_octave (f, s + 1) ;
    vl_sift_pix* end_a = src_a + w * h ;
    while (src_a != end_a) {
      *pt++ = *src_b++ - *src_a++ ;
    }
  }

  /* -----------------------------------------------------------------
   *                                          Find local maxima of DoG
   * -------------------------------------------------------------- */

  /* start from dog [1,1,s_min+1] */
  pt  = dog + xo + yo + so ;

  for(s = s_min + 1 ; s <= s_max - 2 ; ++s) {
    for(y = 1 ; y < h - 1 ; ++y) {
      for(x = 1 ; x < w - 1 ; ++x) {
        v = *pt ;

#define CHECK_NEIGHBORS(CMP,SGN)                    \
        ( v CMP ## = SGN 0.8 * tp &&                \
          v CMP *(pt + xo) &&                       \
          v CMP *(pt - xo) &&                       \
          v CMP *(pt + so) &&                       \
          v CMP *(pt - so) &&                       \
          v CMP *(pt + yo) &&                       \
          v CMP *(pt - yo) &&                       \
                                                    \
          v CMP *(pt + yo + xo) &&                  \
          v CMP *(pt + yo - xo) &&                  \
          v CMP *(pt - yo + xo) &&                  \
          v CMP *(pt - yo - xo) &&                  \
                                                    \
          v CMP *(pt + xo      + so) &&             \
          v CMP *(pt - xo      + so) &&             \
          v CMP *(pt + yo      + so) &&             \
          v CMP *(pt - yo      + so) &&             \
          v CMP *(pt + yo + xo + so) &&             \
          v CMP *(pt + yo - xo + so) &&             \
          v CMP *(pt - yo + xo + so) &&             \
          v CMP *(pt - yo - xo + so) &&             \
                                                    \
          v CMP *(pt + xo      - so) &&             \
          v CMP *(pt - xo      - so) &&             \
          v CMP *(pt + yo      - so) &&             \
          v CMP *(pt - yo      - so) &&             \
          v CMP *(pt + yo + xo - so) &&             \
          v CMP *(pt + yo - xo - so) &&             \
          v CMP *(pt - yo + xo - so) &&             \
          v CMP *(pt - yo - xo - so) )

        if (CHECK_NEIGHBORS(>,+) ||
            CHECK_NEIGHBORS(<,-) ) {

          /* make room for more keypoints */
          if (f->nkeys >= f->keys_res) {
            f->keys_res += 500 ;
            if (f->keys) {
              f->keys = vl_realloc (f->keys,
                                    f->keys_res *
                                    sizeof(VlSiftKeypoint)) ;
            } else {
              f->keys = vl_malloc (f->keys_res *
                                   sizeof(VlSiftKeypoint)) ;
            }
          }

          k = f->keys + (f->nkeys ++) ;

          k-> ix = x ;
          k-> iy = y ;
          k-> is = s ;
        }
        pt += 1 ;
      }
      pt += 2 ;
    }
    pt += 2 * yo ;
  }

  /* -----------------------------------------------------------------
   *                                               Refine local maxima
   * -------------------------------------------------------------- */

  /* this pointer is used to write the keypoints back */
  k = f->keys ;

  for (i = 0 ; i < f->nkeys ; ++i) {

    int x = f-> keys [i] .ix ;
    int y = f-> keys [i] .iy ;
    int s = f-> keys [i]. is ;

    double Dx=0,Dy=0,Ds=0,Dxx=0,Dyy=0,Dss=0,Dxy=0,Dxs=0,Dys=0 ;
    double A [3*3], b [3] ;

    int dx = 0 ;
    int dy = 0 ;

    int iter, i, j ;

    for (iter = 0 ; iter < 5 ; ++iter) {

      x += dx ;
      y += dy ;

      pt = dog
        + xo * x
        + yo * y
        + so * (s - s_min) ;

      /** @brief Index GSS @internal */
#define at(dx,dy,ds) (*( pt + (dx)*xo + (dy)*yo + (ds)*so))

      /** @brief Index matrix A @internal */
#define Aat(i,j)     (A[(i)+(j)*3])

      /* compute the gradient */
      Dx = 0.5 * (at(+1,0,0) - at(-1,0,0)) ;
      Dy = 0.5 * (at(0,+1,0) - at(0,-1,0));
      Ds = 0.5 * (at(0,0,+1) - at(0,0,-1)) ;

      /* compute the Hessian */
      Dxx = (at(+1,0,0) + at(-1,0,0) - 2.0 * at(0,0,0)) ;
      Dyy = (at(0,+1,0) + at(0,-1,0) - 2.0 * at(0,0,0)) ;
      Dss = (at(0,0,+1) + at(0,0,-1) - 2.0 * at(0,0,0)) ;

      Dxy = 0.25 * ( at(+1,+1,0) + at(-1,-1,0) - at(-1,+1,0) - at(+1,-1,0) ) ;
      Dxs = 0.25 * ( at(+1,0,+1) + at(-1,0,-1) - at(-1,0,+1) - at(+1,0,-1) ) ;
      Dys = 0.25 * ( at(0,+1,+1) + at(0,-1,-1) - at(0,-1,+1) - at(0,+1,-1) ) ;

      /* solve linear system ....................................... */
      Aat(0,0) = Dxx ;
      Aat(1,1) = Dyy ;
      Aat(2,2) = Dss ;
      Aat(0,1) = Aat(1,0) = Dxy ;
      Aat(0,2) = Aat(2,0) = Dxs ;
      Aat(1,2) = Aat(2,1) = Dys ;

      b[0] = - Dx ;
      b[1] = - Dy ;
      b[2] = - Ds ;

      /* Gauss elimination */
      for(j = 0 ; j < 3 ; ++j) {
        double maxa    = 0 ;
        double maxabsa = 0 ;
        int    maxi    = -1 ;
        double tmp ;

        /* look for the maximally stable pivot */
        for (i = j ; i < 3 ; ++i) {
          double a    = Aat (i,j) ;
          double absa = vl_abs_d (a) ;
          if (absa > maxabsa) {
            maxa    = a ;
            maxabsa = absa ;
            maxi    = i ;
          }
        }

        /* if singular give up */
        if (maxabsa < 1e-10f) {
          b[0] = 0 ;
          b[1] = 0 ;
          b[2] = 0 ;
          break ;
        }

        i = maxi ;

        /* swap j-th row with i-th row and normalize j-th row */
        for(jj = j ; jj < 3 ; ++jj) {
          tmp = Aat(i,jj) ; Aat(i,jj) = Aat(j,jj) ; Aat(j,jj) = tmp ;
          Aat(j,jj) /= maxa ;
        }
        tmp = b[j] ; b[j] = b[i] ; b[i] = tmp ;
        b[j] /= maxa ;

        /* elimination */
        for (ii = j+1 ; ii < 3 ; ++ii) {
          double x = Aat(ii,j) ;
          for (jj = j ; jj < 3 ; ++jj) {
            Aat(ii,jj) -= x * Aat(j,jj) ;
          }
          b[ii] -= x * b[j] ;
        }
      }

      /* backward substitution */
      for (i = 2 ; i > 0 ; --i) {
        double x = b[i] ;
        for (ii = i-1 ; ii >= 0 ; --ii) {
          b[ii] -= x * Aat(ii,i) ;
        }
      }

      /* .......................................................... */
      /* If the translation of the keypoint is big, move the keypoint
       * and re-iterate the computation. Otherwise we are all set.
       */

      dx= ((b[0] >  0.6 && x < w - 2) ?  1 : 0)
        + ((b[0] < -0.6 && x > 1    ) ? -1 : 0) ;

      dy= ((b[1] >  0.6 && y < h - 2) ?  1 : 0)
        + ((b[1] < -0.6 && y > 1    ) ? -1 : 0) ;

      if (dx == 0 && dy == 0) break ;
    }

    /* check threshold and other conditions */
    {
      double val   = at(0,0,0)
        + 0.5 * (Dx * b[0] + Dy * b[1] + Ds * b[2]) ;
      double score = (Dxx+Dyy)*(Dxx+Dyy) / (Dxx*Dyy - Dxy*Dxy) ;
      double xn = x + b[0] ;
      double yn = y + b[1] ;
      double sn = s + b[2] ;

      vl_bool good =
        vl_abs_d (val)  > tp                  &&
        score           < (te+1)*(te+1)/te    &&
        score           >= 0                  &&
        vl_abs_d (b[0]) <  1.5                &&
        vl_abs_d (b[1]) <  1.5                &&
        vl_abs_d (b[2]) <  1.5                &&
        xn              >= 0                  &&
        xn              <= w - 1              &&
        yn              >= 0                  &&
        yn              <= h - 1              &&
        sn              >= s_min              &&
        sn              <= s_max ;

      if (good) {
        k-> o     = f->o_cur ;
        k-> ix    = x ;
        k-> iy    = y ;
        k-> is    = s ;
        k-> s     = sn ;
        k-> x     = xn * xper ;
        k-> y     = yn * xper ;
        k-> sigma = f->sigma0 * pow (2.0, sn/f->S) * xper ;
        ++ k ;
      }

    } /* done checking */
  } /* next keypoint to refine */

  /* update keypoint count */
  f-> nkeys = (int)(k - f->keys) ;
}


/** ------------------------------------------------------------------
 ** @internal
 ** @brief Update gradients to current GSS octave
 **
 ** @param f SIFT filter.
 **
 ** The function makes sure that the gradient buffer is up-to-date
 ** with the current GSS data.
 **
 ** @remark The minimum octave size is 2x2xS.
 **/

static void
update_gradient (VlSiftFilt *f)
{
  int       s_min = f->s_min ;
  int       s_max = f->s_max ;
  int       w     = vl_sift_get_octave_width  (f) ;
  int       h     = vl_sift_get_octave_height (f) ;
  int const xo    = 1 ;
  int const yo    = w ;
  int const so    = h * w ;
  int y, s ;

  if (f->grad_o == f->o_cur) return ;

  for (s  = s_min + 1 ;
       s <= s_max - 2 ; ++ s) {

    vl_sift_pix *src, *end, *grad, gx, gy ;

#define SAVE_BACK                                                       \
    *grad++ = vl_fast_sqrt_f (gx*gx + gy*gy) ;                          \
    *grad++ = vl_mod_2pi_f   (vl_fast_atan2_f (gy, gx) + 2*VL_PI) ;     \
    ++src ;                                                             \

    src  = vl_sift_get_octave (f,s) ;
    grad = f->grad + 2 * so * (s - s_min -1) ;

    /* first pixel of the first row */
    gx = src[+xo] - src[0] ;
    gy = src[+yo] - src[0] ;
    SAVE_BACK ;

    /* middle pixels of the  first row */
    end = (src - 1) + w - 1 ;
    while (src < end) {
      gx = 0.5 * (src[+xo] - src[-xo]) ;
      gy =        src[+yo] - src[0] ;
      SAVE_BACK ;
    }

    /* last pixel of the first row */
    gx = src[0]   - src[-xo] ;
    gy = src[+yo] - src[0] ;
    SAVE_BACK ;

    for (y = 1 ; y < h -1 ; ++y) {

      /* first pixel of the middle rows */
      gx =        src[+xo] - src[0] ;
      gy = 0.5 * (src[+yo] - src[-yo]) ;
      SAVE_BACK ;

      /* middle pixels of the middle rows */
      end = (src - 1) + w - 1 ;
      while (src < end) {
        gx = 0.5 * (src[+xo] - src[-xo]) ;
        gy = 0.5 * (src[+yo] - src[-yo]) ;
        SAVE_BACK ;
      }

      /* last pixel of the middle row */
      gx =        src[0]   - src[-xo] ;
      gy = 0.5 * (src[+yo] - src[-yo]) ;
      SAVE_BACK ;
    }

    /* first pixel of the last row */
    gx = src[+xo] - src[0] ;
    gy = src[  0] - src[-yo] ;
    SAVE_BACK ;

    /* middle pixels of the last row */
    end = (src - 1) + w - 1 ;
    while (src < end) {
      gx = 0.5 * (src[+xo] - src[-xo]) ;
      gy =        src[0]   - src[-yo] ;
      SAVE_BACK ;
    }

    /* last pixel of the last row */
    gx = src[0]   - src[-xo] ;
    gy = src[0]   - src[-yo] ;
    SAVE_BACK ;
  }
  f->grad_o = f->o_cur ;
}

/** ------------------------------------------------------------------
 ** @brief Calculate the keypoint orientation(s)
 **
 ** @param f        SIFT filter.
 ** @param angles   orientations (output).
 ** @param k        keypoint.
 **
 ** The function computes the orientation(s) of the keypoint @a k.
 ** The function returns the number of orientations found (up to
 ** four). The orientations themselves are written to the vector @a
 ** angles.
 **
 ** @remark The function requires the keypoint octave @a k->o to be
 ** equal to the filter current octave ::vl_sift_get_octave. If this
 ** is not the case, the function returns zero orientations.
 **
 ** @remark The function requires the keypoint scale level @c k->s to
 ** be in the range @c s_min+1 and @c s_max-2 (where usually @c
 ** s_min=0 and @c s_max=S+2). If this is not the case, the function
 ** returns zero orientations.
 **
 ** @return number of orientations found.
 **/

VL_EXPORT
int
vl_sift_calc_keypoint_orientations (VlSiftFilt *f,
                                    double angles [4],
                                    VlSiftKeypoint const *k)
{
  double const winf   = 1.5 ;
  double       xper   = pow (2.0, f->o_cur) ;

  int          w      = f-> octave_width ;
  int          h      = f-> octave_height ;
  int const    xo     = 2 ;         /* x-stride */
  int const    yo     = 2 * w ;     /* y-stride */
  int const    so     = 2 * w * h ; /* s-stride */
  double       x      = k-> x     / xper ;
  double       y      = k-> y     / xper ;
  double       sigma  = k-> sigma / xper ;

  int          xi     = (int) (x + 0.5) ;
  int          yi     = (int) (y + 0.5) ;
  int          si     = k-> is ;

  double const sigmaw = winf * sigma ;
  int          W      = VL_MAX(floor (3.0 * sigmaw), 1) ;

  int          nangles= 0 ;

  enum {nbins = 36} ;

  double hist [nbins], maxh ;
  vl_sift_pix const * pt ;
  int xs, ys, iter, i ;

  /* skip if the keypoint octave is not current */
  if(k->o != f->o_cur)
    return 0 ;

  /* skip the keypoint if it is out of bounds */
  if(xi < 0            ||
     xi > w - 1        ||
     yi < 0            ||
     yi > h - 1        ||
     si < f->s_min + 1 ||
     si > f->s_max - 2  ) {
    return 0 ;
  }

  /* make gradient up to date */
  update_gradient (f) ;

  /* clear histogram */
  memset (hist, 0, sizeof(double) * nbins) ;

  /* compute orientation histogram */
  pt = f-> grad + xo*xi + yo*yi + so*(si - f->s_min - 1) ;

#undef  at
#define at(dx,dy) (*(pt + xo * (dx) + yo * (dy)))

  for(ys  =  VL_MAX (- W,       - yi) ;
      ys <=  VL_MIN (+ W, h - 1 - yi) ; ++ys) {

    for(xs  = VL_MAX (- W,       - xi) ;
        xs <= VL_MIN (+ W, w - 1 - xi) ; ++xs) {


      double dx = (double)(xi + xs) - x;
      double dy = (double)(yi + ys) - y;
      double r2 = dx*dx + dy*dy ;
      double wgt, mod, ang, fbin ;

      /* limit to a circular window */
      if (r2 >= W*W + 0.6) continue ;

      wgt  = fast_expn (r2 / (2*sigmaw*sigmaw)) ;
      mod  = *(pt + xs*xo + ys*yo    ) ;
      ang  = *(pt + xs*xo + ys*yo + 1) ;
      fbin = nbins * ang / (2 * VL_PI) ;

#if defined(VL_SIFT_BILINEAR_ORIENTATIONS)
      {
        int bin = (int) vl_floor_d (fbin - 0.5) ;
        double rbin = fbin - bin - 0.5 ;
        hist [(bin + nbins) % nbins] += (1 - rbin) * mod * wgt ;
        hist [(bin + 1    ) % nbins] += (    rbin) * mod * wgt ;
      }
#else
      {
        int    bin  = vl_floor_d (fbin) ;
        bin = vl_floor_d (nbins * ang / (2*VL_PI)) ;
        hist [(bin) % nbins] += mod * wgt ;
      }
#endif

    } /* for xs */
  } /* for ys */

  /* smooth histogram */
  for (iter = 0; iter < 6; iter ++) {
    double prev  = hist [nbins - 1] ;
    double first = hist [0] ;
    int i ;
    for (i = 0; i < nbins - 1; i++) {
      double newh = (prev + hist[i] + hist[(i+1) % nbins]) / 3.0;
      prev = hist[i] ;
      hist[i] = newh ;
    }
    hist[i] = (prev + hist[i] + first) / 3.0 ;
  }

  /* find the histogram maximum */
  maxh = 0 ;
  for (i = 0 ; i < nbins ; ++i)
    maxh = VL_MAX (maxh, hist [i]) ;

  /* find peaks within 80% from max */
  nangles = 0 ;
  for(i = 0 ; i < nbins ; ++i) {
    double h0 = hist [i] ;
    double hm = hist [(i - 1 + nbins) % nbins] ;
    double hp = hist [(i + 1 + nbins) % nbins] ;

    /* is this a peak? */
    if (h0 > 0.8*maxh && h0 > hm && h0 > hp) {

      /* quadratic interpolation */
      double di = - 0.5 * (hp - hm) / (hp + hm - 2 * h0) ;
      double th = 2 * VL_PI * (i + di + 0.5) / nbins ;
      angles [ nangles++ ] = th ;
      if( nangles == 4 )
        goto enough_angles ;
    }
  }
 enough_angles:
  return nangles ;
}


/** ------------------------------------------------------------------
 ** @internal
 ** @brief Normalizes in norm L_2 a descriptor
 ** @param begin begin of histogram.
 ** @param end   end of histogram.
 **/

VL_INLINE vl_sift_pix
normalize_histogram
(vl_sift_pix *begin, vl_sift_pix *end)
{
  vl_sift_pix* iter ;
  vl_sift_pix  norm = 0.0 ;

  for (iter = begin ; iter != end ; ++ iter)
    norm += (*iter) * (*iter) ;

  norm = vl_fast_sqrt_f (norm) + VL_EPSILON_F ;

  for (iter = begin; iter != end ; ++ iter)
    *iter /= norm ;

  return norm;
}

/** ------------------------------------------------------------------
 ** @brief Run the SIFT descriptor on raw data
 **
 ** @param f        SIFT filter.
 ** @param grad     image gradients.
 ** @param descr    SIFT descriptor (output).
 ** @param width    image width.
 ** @param height   image height.
 ** @param x        keypoint x coordinate.
 ** @param y        keypoint y coordinate.
 ** @param sigma    keypoint scale.
 ** @param angle0   keypoint orientation.
 **
 ** The function runs the SIFT descriptor on raw data. Here @a image
 ** is a 2 x @a width x @a height array (by convention, the memory
 ** layout is a s such the first index is the fastest varying
 ** one). The first @a width x @a height layer of the array contains
 ** the gradient magnitude and the second the gradient angle (in
 ** radians, between 0 and @f$ 2\pi @f$). @a x, @a y and @a sigma give
 ** the keypoint center and scale respectively.
 **
 ** In order to be equivalent to a standard SIFT descriptor the image
 ** gradient must be computed at a smoothing level equal to the scale
 ** of the keypoint. In practice, the actual SIFT algorithm makes the
 ** following additional approximation, which influence the result:
 **
 ** - Scale is discretized in @c S levels.
 ** - The image is downsampled once for each octave (if you do this,
 **   the parameters @a x, @a y and @a sigma must be
 **   scaled too).
 **/

VL_EXPORT
void
vl_sift_calc_raw_descriptor (VlSiftFilt const *f,
                             vl_sift_pix const* grad,
                             vl_sift_pix *descr,
                             int width, int height,
                             double x, double y,
                             double sigma,
                             double angle0)
{
  double const magnif = f-> magnif ;

  int          w      = width ;
  int          h      = height ;
  int const    xo     = 2 ;         /* x-stride */
  int const    yo     = 2 * w ;     /* y-stride */

  int          xi     = (int) (x + 0.5) ;
  int          yi     = (int) (y + 0.5) ;

  double const st0    = sin (angle0) ;
  double const ct0    = cos (angle0) ;
  double const SBP    = magnif * sigma + VL_EPSILON_D ;
  int    const W      = floor
    (sqrt(2.0) * SBP * (NBP + 1) / 2.0 + 0.5) ;

  int const binto = 1 ;          /* bin theta-stride */
  int const binyo = NBO * NBP ;  /* bin y-stride */
  int const binxo = NBO ;        /* bin x-stride */

  int bin, dxi, dyi ;
  vl_sift_pix const *pt ;
  vl_sift_pix       *dpt ;

  /* check bounds */
  if(xi    <  0               ||
     xi    >= w               ||
     yi    <  0               ||
     yi    >= h -    1        )
    return ;

  /* clear descriptor */
  memset (descr, 0, sizeof(vl_sift_pix) * NBO*NBP*NBP) ;

  /* Center the scale space and the descriptor on the current keypoint.
   * Note that dpt is pointing to the bin of center (SBP/2,SBP/2,0).
   */
  pt  = grad + xi*xo + yi*yo ;
  dpt = descr + (NBP/2) * binyo + (NBP/2) * binxo ;

#undef atd
#define atd(dbinx,dbiny,dbint) *(dpt + (dbint)*binto + (dbiny)*binyo + (dbinx)*binxo)

  /*
   * Process pixels in the intersection of the image rectangle
   * (1,1)-(M-1,N-1) and the keypoint bounding box.
   */
  for(dyi =  VL_MAX(- W,   - yi   ) ;
      dyi <= VL_MIN(+ W, h - yi -1) ; ++ dyi) {

    for(dxi =  VL_MAX(- W,   - xi   ) ;
        dxi <= VL_MIN(+ W, w - xi -1) ; ++ dxi) {

      /* retrieve */
      vl_sift_pix mod   = *( pt + dxi*xo + dyi*yo + 0 ) ;
      vl_sift_pix angle = *( pt + dxi*xo + dyi*yo + 1 ) ;
      vl_sift_pix theta = vl_mod_2pi_f (angle - angle0) ;

      /* fractional displacement */
      vl_sift_pix dx = xi + dxi - x;
      vl_sift_pix dy = yi + dyi - y;

      /* get the displacement normalized w.r.t. the keypoint
         orientation and extension */
      vl_sift_pix nx = ( ct0 * dx + st0 * dy) / SBP ;
      vl_sift_pix ny = (-st0 * dx + ct0 * dy) / SBP ;
      vl_sift_pix nt = NBO * theta / (2 * VL_PI) ;

      /* Get the Gaussian weight of the sample. The Gaussian window
       * has a standard deviation equal to NBP/2. Note that dx and dy
       * are in the normalized frame, so that -NBP/2 <= dx <=
       * NBP/2. */
      vl_sift_pix const wsigma = f->windowSize ;
      vl_sift_pix win = fast_expn
        ((nx*nx + ny*ny)/(2.0 * wsigma * wsigma)) ;

      /* The sample will be distributed in 8 adjacent bins.
         We start from the ``lower-left'' bin. */
      int         binx = (int)vl_floor_f (nx - 0.5) ;
      int         biny = (int)vl_floor_f (ny - 0.5) ;
      int         bint = (int)vl_floor_f (nt) ;
      vl_sift_pix rbinx = nx - (binx + 0.5) ;
      vl_sift_pix rbiny = ny - (biny + 0.5) ;
      vl_sift_pix rbint = nt - bint ;
      int         dbinx ;
      int         dbiny ;
      int         dbint ;

      /* Distribute the current sample into the 8 adjacent bins*/
      for(dbinx = 0 ; dbinx < 2 ; ++dbinx) {
        for(dbiny = 0 ; dbiny < 2 ; ++dbiny) {
          for(dbint = 0 ; dbint < 2 ; ++dbint) {

            if (binx + dbinx >= - (NBP/2) &&
                binx + dbinx <    (NBP/2) &&
                biny + dbiny >= - (NBP/2) &&
                biny + dbiny <    (NBP/2) ) {
              vl_sift_pix weight = win
                * mod
                * vl_abs_f (1 - dbinx - rbinx)
                * vl_abs_f (1 - dbiny - rbiny)
                * vl_abs_f (1 - dbint - rbint) ;

              atd(binx+dbinx, biny+dbiny, (bint+dbint) % NBO) += weight ;
            }
          }
        }
      }
    }
  }

  /* Standard SIFT descriptors are normalized, truncated and normalized again */
  if(1) {

    /* normalize L2 norm */
    vl_sift_pix norm = normalize_histogram (descr, descr + NBO*NBP*NBP) ;

    /*
       Set the descriptor to zero if it is lower than our
       norm_threshold.  We divide by the number of samples in the
       descriptor region because the Gaussian window used in the
       calculation of the descriptor is not normalized.
     */
    int numSamples =
      (VL_MIN(W, w - xi -1) - VL_MAX(-W, - xi) + 1) *
      (VL_MIN(W, h - yi -1) - VL_MAX(-W, - yi) + 1) ;

    if(f-> norm_thresh && norm < f-> norm_thresh * numSamples) {
        for(bin = 0; bin < NBO*NBP*NBP ; ++ bin)
            descr [bin] = 0;
    }
    else {
      /* truncate at 0.2. */
      for(bin = 0; bin < NBO*NBP*NBP ; ++ bin) {
        if (descr [bin] > 0.2) descr [bin] = 0.2;
      }

      /* normalize again. */
      normalize_histogram (descr, descr + NBO*NBP*NBP) ;
    }
  }
}

/** ------------------------------------------------------------------
 ** @brief Compute the descriptor of a keypoint
 **
 ** @param f        SIFT filter.
 ** @param descr    SIFT descriptor (output)
 ** @param k        keypoint.
 ** @param angle0   keypoint direction.
 **
 ** The function computes the SIFT descriptor of the keypoint @a k of
 ** orientation @a angle0. The function fills the buffer @a descr
 ** which must be large enough to hold the descriptor.
 **
 ** The function assumes that the keypoint is on the current octave.
 ** If not, it does not do anything.
 **/

VL_EXPORT
void
vl_sift_calc_keypoint_descriptor (VlSiftFilt *f,
                                  vl_sift_pix *descr,
                                  VlSiftKeypoint const* k,
                                  double angle0)
{
  /*
     The SIFT descriptor is a three dimensional histogram of the
     position and orientation of the gradient.  There are NBP bins for
     each spatial dimension and NBO bins for the orientation dimension,
     for a total of NBP x NBP x NBO bins.

     The support of each spatial bin has an extension of SBP = 3sigma
     pixels, where sigma is the scale of the keypoint.  Thus all the
     bins together have a support SBP x NBP pixels wide. Since
     weighting and interpolation of pixel is used, the support extends
     by another half bin. Therefore, the support is a square window of
     SBP x (NBP + 1) pixels. Finally, since the patch can be
     arbitrarily rotated, we need to consider a window 2W += sqrt(2) x
     SBP x (NBP + 1) pixels wide.
  */

  double const magnif      = f-> magnif ;

  double       xper        = pow (2.0, f->o_cur) ;

  int          w           = f-> octave_width ;
  int          h           = f-> octave_height ;
  int const    xo          = 2 ;         /* x-stride */
  int const    yo          = 2 * w ;     /* y-stride */
  int const    so          = 2 * w * h ; /* s-stride */
  double       x           = k-> x     / xper ;
  double       y           = k-> y     / xper ;
  double       sigma       = k-> sigma / xper ;

  int          xi          = (int) (x + 0.5) ;
  int          yi          = (int) (y + 0.5) ;
  int          si          = k-> is ;

  double const st0         = sin (angle0) ;
  double const ct0         = cos (angle0) ;
  double const SBP         = magnif * sigma + VL_EPSILON_D ;
  int    const W           = floor
    (sqrt(2.0) * SBP * (NBP + 1) / 2.0 + 0.5) ;

  int const binto = 1 ;          /* bin theta-stride */
  int const binyo = NBO * NBP ;  /* bin y-stride */
  int const binxo = NBO ;        /* bin x-stride */

  int bin, dxi, dyi ;
  vl_sift_pix const *pt ;
  vl_sift_pix       *dpt ;

  /* check bounds */
  if(k->o  != f->o_cur        ||
     xi    <  0               ||
     xi    >= w               ||
     yi    <  0               ||
     yi    >= h -    1        ||
     si    <  f->s_min + 1    ||
     si    >  f->s_max - 2     )
    return ;

  /* synchronize gradient buffer */
  update_gradient (f) ;

  /* VL_PRINTF("W = %d ; magnif = %g ; SBP = %g\n", W,magnif,SBP) ; */

  /* clear descriptor */
  memset (descr, 0, sizeof(vl_sift_pix) * NBO*NBP*NBP) ;

  /* Center the scale space and the descriptor on the current keypoint.
   * Note that dpt is pointing to the bin of center (SBP/2,SBP/2,0).
   */
  pt  = f->grad + xi*xo + yi*yo + (si - f->s_min - 1)*so ;
  dpt = descr + (NBP/2) * binyo + (NBP/2) * binxo ;

#undef atd
#define atd(dbinx,dbiny,dbint) *(dpt + (dbint)*binto + (dbiny)*binyo + (dbinx)*binxo)

  /*
   * Process pixels in the intersection of the image rectangle
   * (1,1)-(M-1,N-1) and the keypoint bounding box.
   */
  for(dyi =  VL_MAX (- W, 1 - yi    ) ;
      dyi <= VL_MIN (+ W, h - yi - 2) ; ++ dyi) {

    for(dxi =  VL_MAX (- W, 1 - xi    ) ;
        dxi <= VL_MIN (+ W, w - xi - 2) ; ++ dxi) {

      /* retrieve */
      vl_sift_pix mod   = *( pt + dxi*xo + dyi*yo + 0 ) ;
      vl_sift_pix angle = *( pt + dxi*xo + dyi*yo + 1 ) ;
      vl_sift_pix theta = vl_mod_2pi_f (angle - angle0) ;

      /* fractional displacement */
      vl_sift_pix dx = xi + dxi - x;
      vl_sift_pix dy = yi + dyi - y;

      /* get the displacement normalized w.r.t. the keypoint
         orientation and extension */
      vl_sift_pix nx = ( ct0 * dx + st0 * dy) / SBP ;
      vl_sift_pix ny = (-st0 * dx + ct0 * dy) / SBP ;
      vl_sift_pix nt = NBO * theta / (2 * VL_PI) ;

      /* Get the Gaussian weight of the sample. The Gaussian window
       * has a standard deviation equal to NBP/2. Note that dx and dy
       * are in the normalized frame, so that -NBP/2 <= dx <=
       * NBP/2. */
      vl_sift_pix const wsigma = f->windowSize ;
      vl_sift_pix win = fast_expn
        ((nx*nx + ny*ny)/(2.0 * wsigma * wsigma)) ;

      /* The sample will be distributed in 8 adjacent bins.
         We start from the ``lower-left'' bin. */
      int         binx = (int)vl_floor_f (nx - 0.5) ;
      int         biny = (int)vl_floor_f (ny - 0.5) ;
      int         bint = (int)vl_floor_f (nt) ;
      vl_sift_pix rbinx = nx - (binx + 0.5) ;
      vl_sift_pix rbiny = ny - (biny + 0.5) ;
      vl_sift_pix rbint = nt - bint ;
      int         dbinx ;
      int         dbiny ;
      int         dbint ;

      /* Distribute the current sample into the 8 adjacent bins*/
      for(dbinx = 0 ; dbinx < 2 ; ++dbinx) {
        for(dbiny = 0 ; dbiny < 2 ; ++dbiny) {
          for(dbint = 0 ; dbint < 2 ; ++dbint) {

            if (binx + dbinx >= - (NBP/2) &&
                binx + dbinx <    (NBP/2) &&
                biny + dbiny >= - (NBP/2) &&
                biny + dbiny <    (NBP/2) ) {
              vl_sift_pix weight = win
                * mod
                * vl_abs_f (1 - dbinx - rbinx)
                * vl_abs_f (1 - dbiny - rbiny)
                * vl_abs_f (1 - dbint - rbint) ;

              atd(binx+dbinx, biny+dbiny, (bint+dbint) % NBO) += weight ;
            }
          }
        }
      }
    }
  }

  /* Standard SIFT descriptors are normalized, truncated and normalized again */
  if(1) {

    /* Normalize the histogram to L2 unit length. */
    vl_sift_pix norm = normalize_histogram (descr, descr + NBO*NBP*NBP) ;

    /* Set the descriptor to zero if it is lower than our norm_threshold */
    if(f-> norm_thresh && norm < f-> norm_thresh) {
        for(bin = 0; bin < NBO*NBP*NBP ; ++ bin)
            descr [bin] = 0;
    }
    else {

      /* Truncate at 0.2. */
      for(bin = 0; bin < NBO*NBP*NBP ; ++ bin) {
        if (descr [bin] > 0.2) descr [bin] = 0.2;
      }

      /* Normalize again. */
      normalize_histogram (descr, descr + NBO*NBP*NBP) ;
    }
  }

}

/** ------------------------------------------------------------------
 ** @brief Initialize a keypoint from its position and scale
 **
 ** @param f     SIFT filter.
 ** @param k     SIFT keypoint (output).
 ** @param x     x coordinate of the keypoint center.
 ** @param y     y coordinate of the keypoint center.
 ** @param sigma keypoint scale.
 **
 ** The function initializes a keypoint structure @a k from
 ** the location @a x
 ** and @a y and the scale @a sigma of the keypoint. The keypoint structure
 ** maps the keypoint to an octave and scale level of the discretized
 ** Gaussian scale space, which is required for instance to compute the
 ** keypoint SIFT descriptor.
 **
 ** @par Algorithm
 **
 ** The formula linking the keypoint scale sigma to the octave and
 ** scale indexes is
 **
 ** @f[ \sigma(o,s) = \sigma_0 2^{o+s/S} @f]
 **
 ** In addition to the scale index @e s (which can be fractional due
 ** to scale interpolation) a keypoint has an integer scale index @e
 ** is too (which is the index of the scale level where it was
 ** detected in the DoG scale space). We have the constraints (@ref
 ** sift-tech-detector see also the "SIFT detector"):
 **
 ** - @e o is integer in the range @f$ [o_\mathrm{min},
 **   o_{\mathrm{min}}+O-1] @f$.
 ** - @e is is integer in the range @f$ [s_\mathrm{min}+1,
 **   s_\mathrm{max}-2] @f$.  This depends on how the scale is
 **   determined during detection, and must be so here because
 **   gradients are computed only for this range of scale levels
 **   and are required for the calculation of the SIFT descriptor.
 ** - @f$ |s - is| < 0.5 @f$ for detected keypoints in most cases due
 **   to the interpolation technique used during detection. However
 **   this is not necessary.
 **
 ** Thus octave o represents scales @f$ \{ \sigma(o, s) : s \in
 ** [s_\mathrm{min}+1-.5, s_\mathrm{max}-2+.5] \} @f$. Note that some
 ** scales may be represented more than once. For each scale, we
 ** select the largest possible octave that contains it, i.e.
 **
 ** @f[
 **  o(\sigma)
 **  = \max \{ o \in \mathbb{Z} :
 **    \sigma_0 2^{\frac{s_\mathrm{min}+1-.5}{S}} \leq \sigma \}
 **  = \mathrm{floor}\,\left[
 **    \log_2(\sigma / \sigma_0) - \frac{s_\mathrm{min}+1-.5}{S}\right]
 ** @f]
 **
 ** and then
 **
 ** @f[
 ** s(\sigma) = S  \left[\log_2(\sigma / \sigma_0) - o(\sigma)\right],
 ** \quad
 ** is(\sigma) = \mathrm{round}\,(s(\sigma))
 ** @f]
 **
 ** In practice, both @f$ o(\sigma) @f$ and @f$ is(\sigma) @f$ are
 ** clamped to their feasible range as determined by the SIFT filter
 ** parameters.
 **/

VL_EXPORT
void
vl_sift_keypoint_init (VlSiftFilt const *f,
                       VlSiftKeypoint *k,
                       double x,
                       double y,
                       double sigma)
{
  int    o, ix, iy, is ;
  double s, phi, xper ;

  phi = log2 ((sigma + VL_EPSILON_D) / f->sigma0) ;
  o   = (int)vl_floor_d (phi -  ((double) f->s_min + 0.5) / f->S) ;
  o   = VL_MIN (o, f->o_min + f->O - 1) ;
  o   = VL_MAX (o, f->o_min           ) ;
  s   = f->S * (phi - o) ;

  is  = (int)(s + 0.5) ;
  is  = VL_MIN(is, f->s_max - 2) ;
  is  = VL_MAX(is, f->s_min + 1) ;

  xper = pow (2.0, o) ;
  ix   = (int)(x / xper + 0.5) ;
  iy   = (int)(y / xper + 0.5) ;

  k -> o  = o ;

  k -> ix = ix ;
  k -> iy = iy ;
  k -> is = is ;

  k -> x = x ;
  k -> y = y ;
  k -> s = s ;

  k->sigma = sigma ;
}
vlfeat-0.9.16/vl/sift.h000066400000000000000000000270031203326130700146260ustar00rootroot00000000000000/** @file sift.h
 ** @brief SIFT (@ref sift)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_SIFT_H
#define VL_SIFT_H

#include 
#include "generic.h"

/** @brief SIFT filter pixel type */
typedef float vl_sift_pix ;

/** ------------------------------------------------------------------
 ** @brief SIFT filter keypoint
 **
 ** This structure represent a keypoint as extracted by the SIFT
 ** filter ::VlSiftFilt.
 **/

typedef struct _VlSiftKeypoint
{
  int o ;           /**< o coordinate (octave). */

  int ix ;          /**< Integer unnormalized x coordinate. */
  int iy ;          /**< Integer unnormalized y coordinate. */
  int is ;          /**< Integer s coordinate. */

  float x ;     /**< x coordinate. */
  float y ;     /**< y coordinate. */
  float s ;     /**< s coordinate. */
  float sigma ; /**< scale. */
} VlSiftKeypoint ;

/** ------------------------------------------------------------------
 ** @brief SIFT filter
 **
 ** This filter implements the SIFT detector and descriptor.
 **/

typedef struct _VlSiftFilt
{
  double sigman ;       /**< nominal image smoothing. */
  double sigma0 ;       /**< smoothing of pyramid base. */
  double sigmak ;       /**< k-smoothing */
  double dsigma0 ;      /**< delta-smoothing. */

  int width ;           /**< image width. */
  int height ;          /**< image height. */
  int O ;               /**< number of octaves. */
  int S ;               /**< number of levels per octave. */
  int o_min ;           /**< minimum octave index. */
  int s_min ;           /**< minimum level index. */
  int s_max ;           /**< maximum level index. */
  int o_cur ;           /**< current octave. */

  vl_sift_pix *temp ;   /**< temporary pixel buffer. */
  vl_sift_pix *octave ; /**< current GSS data. */
  vl_sift_pix *dog ;    /**< current DoG data. */
  int octave_width ;    /**< current octave width. */
  int octave_height ;   /**< current octave height. */

  vl_sift_pix *gaussFilter ;  /**< current Gaussian filter */
  double gaussFilterSigma ;   /**< current Gaussian filter std */
  vl_size gaussFilterWidth ;  /**< current Gaussian filter width */

  VlSiftKeypoint* keys ;/**< detected keypoints. */
  int nkeys ;           /**< number of detected keypoints. */
  int keys_res ;        /**< size of the keys buffer. */

  double peak_thresh ;  /**< peak threshold. */
  double edge_thresh ;  /**< edge threshold. */
  double norm_thresh ;  /**< norm threshold. */
  double magnif ;       /**< magnification factor. */
  double windowSize ;   /**< size of Gaussian window (in spatial bins) */

  vl_sift_pix *grad ;   /**< GSS gradient data. */
  int grad_o ;          /**< GSS gradient data octave. */

} VlSiftFilt ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT
VlSiftFilt*  vl_sift_new    (int width, int height,
                             int noctaves, int nlevels,
                             int o_min) ;
VL_EXPORT
void         vl_sift_delete (VlSiftFilt *f) ;
/** @} */

/** @name Process data
 ** @{
 **/

VL_EXPORT
int   vl_sift_process_first_octave       (VlSiftFilt *f,
                                          vl_sift_pix const *im) ;

VL_EXPORT
int   vl_sift_process_next_octave        (VlSiftFilt *f) ;

VL_EXPORT
void  vl_sift_detect                     (VlSiftFilt *f) ;

VL_EXPORT
int   vl_sift_calc_keypoint_orientations (VlSiftFilt *f,
                                          double angles [4],
                                          VlSiftKeypoint const*k);
VL_EXPORT
void  vl_sift_calc_keypoint_descriptor   (VlSiftFilt *f,
                                          vl_sift_pix *descr,
                                          VlSiftKeypoint const* k,
                                          double angle) ;

VL_EXPORT
void  vl_sift_calc_raw_descriptor        (VlSiftFilt const *f,
                                          vl_sift_pix const* image,
                                          vl_sift_pix *descr,
                                          int widht, int height,
                                          double x, double y,
                                          double s, double angle0) ;

VL_EXPORT
void  vl_sift_keypoint_init              (VlSiftFilt const *f,
                                          VlSiftKeypoint *k,
                                          double x,
                                          double y,
                                          double sigma) ;
/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE int    vl_sift_get_octave_index   (VlSiftFilt const *f) ;
VL_INLINE int    vl_sift_get_noctaves       (VlSiftFilt const *f) ;
VL_INLINE int    vl_sift_get_octave_first   (VlSiftFilt const *f) ;
VL_INLINE int    vl_sift_get_octave_width   (VlSiftFilt const *f) ;
VL_INLINE int    vl_sift_get_octave_height  (VlSiftFilt const *f) ;
VL_INLINE int    vl_sift_get_nlevels        (VlSiftFilt const *f) ;
VL_INLINE int    vl_sift_get_nkeypoints     (VlSiftFilt const *f) ;
VL_INLINE double vl_sift_get_peak_thresh    (VlSiftFilt const *f) ;
VL_INLINE double vl_sift_get_edge_thresh    (VlSiftFilt const *f) ;
VL_INLINE double vl_sift_get_norm_thresh    (VlSiftFilt const *f) ;
VL_INLINE double vl_sift_get_magnif         (VlSiftFilt const *f) ;
VL_INLINE double vl_sift_get_window_size    (VlSiftFilt const *f) ;

VL_INLINE vl_sift_pix *vl_sift_get_octave  (VlSiftFilt const *f, int s) ;
VL_INLINE VlSiftKeypoint const *vl_sift_get_keypoints (VlSiftFilt const *f) ;
/** @} */

/** @name Set parameters
 ** @{
 **/
VL_INLINE void vl_sift_set_peak_thresh (VlSiftFilt *f, double t) ;
VL_INLINE void vl_sift_set_edge_thresh (VlSiftFilt *f, double t) ;
VL_INLINE void vl_sift_set_norm_thresh (VlSiftFilt *f, double t) ;
VL_INLINE void vl_sift_set_magnif      (VlSiftFilt *f, double m) ;
VL_INLINE void vl_sift_set_window_size (VlSiftFilt *f, double m) ;
/** @} */

/* -------------------------------------------------------------------
 *                                     Inline functions implementation
 * ---------------------------------------------------------------- */

/** ------------------------------------------------------------------
 ** @brief Get current octave index.
 ** @param f SIFT filter.
 ** @return index of the current octave.
 **/

VL_INLINE int
vl_sift_get_octave_index (VlSiftFilt const *f)
{
  return f-> o_cur ;
}

/** ------------------------------------------------------------------
 ** @brief Get number of octaves.
 ** @param f SIFT filter.
 ** @return number of octaves.
 **/

VL_INLINE int
vl_sift_get_noctaves (VlSiftFilt const *f)
{
  return f-> O ;
}

/**-------------------------------------------------------------------
 ** @brief Get first octave.
 ** @param f SIFT filter.
 ** @return index of the first octave.
 **/

VL_INLINE int
vl_sift_get_octave_first (VlSiftFilt const *f)
{
  return f-> o_min ;
}

/** ------------------------------------------------------------------
 ** @brief Get current octave width
 ** @param f SIFT filter.
 ** @return current octave width.
 **/

VL_INLINE int
vl_sift_get_octave_width (VlSiftFilt const *f)
{
  return f-> octave_width ;
}

/** ------------------------------------------------------------------
 ** @brief Get current octave height
 ** @param f SIFT filter.
 ** @return current octave height.
 **/

VL_INLINE int
vl_sift_get_octave_height (VlSiftFilt const *f)
{
  return f-> octave_height ;
}

/** ------------------------------------------------------------------
 ** @brief Get current octave data
 ** @param f SIFT filter.
 ** @param s level index.
 **
 ** The level index @a s ranges in the interval s_min = -1
 ** and  s_max = S + 2, where @c S is the number of levels
 ** per octave.
 **
 ** @return pointer to the octave data for level @a s.
 **/

VL_INLINE vl_sift_pix *
vl_sift_get_octave (VlSiftFilt const *f, int s)
{
  int w = vl_sift_get_octave_width  (f) ;
  int h = vl_sift_get_octave_height (f) ;
  return f->octave + w * h * (s - f->s_min) ;
}

/** ------------------------------------------------------------------
 ** @brief Get number of levels per octave
 ** @param f SIFT filter.
 ** @return number of leves per octave.
 **/

VL_INLINE int
vl_sift_get_nlevels (VlSiftFilt const *f)
{
  return f-> S ;
}

/** ------------------------------------------------------------------
 ** @brief Get number of keypoints.
 ** @param f SIFT filter.
 ** @return number of keypoints.
 **/

VL_INLINE int
vl_sift_get_nkeypoints (VlSiftFilt const *f)
{
  return f-> nkeys ;
}

/** ------------------------------------------------------------------
 ** @brief Get keypoints.
 ** @param f SIFT filter.
 ** @return pointer to the keypoints list.
 **/

VL_INLINE VlSiftKeypoint const *
vl_sift_get_keypoints (VlSiftFilt const *f)
{
  return f-> keys ;
}

/** ------------------------------------------------------------------
 ** @brief Get peaks treashold
 ** @param f SIFT filter.
 ** @return threshold ;
 **/

VL_INLINE double
vl_sift_get_peak_thresh (VlSiftFilt const *f)
{
  return f -> peak_thresh ;
}

/** ------------------------------------------------------------------
 ** @brief Get edges threshold
 ** @param f SIFT filter.
 ** @return threshold.
 **/

VL_INLINE double
vl_sift_get_edge_thresh (VlSiftFilt const *f)
{
  return f -> edge_thresh ;
}

/** ------------------------------------------------------------------
 ** @brief Get norm threshold
 ** @param f SIFT filter.
 ** @return threshold.
 **/

VL_INLINE double
vl_sift_get_norm_thresh (VlSiftFilt const *f)
{
  return f -> norm_thresh ;
}

/** ------------------------------------------------------------------
 ** @brief Get the magnification factor
 ** @param f SIFT filter.
 ** @return magnification factor.
 **/

VL_INLINE double
vl_sift_get_magnif (VlSiftFilt const *f)
{
  return f -> magnif ;
}

/** ------------------------------------------------------------------
 ** @brief Get the Gaussian window size.
 ** @param f SIFT filter.
 ** @return standard deviation of the Gaussian window (in spatial bin units).
 **/

VL_INLINE double
vl_sift_get_window_size (VlSiftFilt const *f)
{
  return f -> windowSize ;
}



/** ------------------------------------------------------------------
 ** @brief Set peaks threshold
 ** @param f SIFT filter.
 ** @param t threshold.
 **/

VL_INLINE void
vl_sift_set_peak_thresh (VlSiftFilt *f, double t)
{
  f -> peak_thresh = t ;
}

/** ------------------------------------------------------------------
 ** @brief Set edges threshold
 ** @param f SIFT filter.
 ** @param t threshold.
 **/

VL_INLINE void
vl_sift_set_edge_thresh (VlSiftFilt *f, double t)
{
  f -> edge_thresh = t ;
}

/** ------------------------------------------------------------------
 ** @brief Set norm threshold
 ** @param f SIFT filter.
 ** @param t threshold.
 **/

VL_INLINE void
vl_sift_set_norm_thresh (VlSiftFilt *f, double t)
{
  f -> norm_thresh = t ;
}

/** ------------------------------------------------------------------
 ** @brief Set the magnification factor
 ** @param f SIFT filter.
 ** @param m magnification factor.
 **/

VL_INLINE void
vl_sift_set_magnif (VlSiftFilt *f, double m)
{
  f -> magnif = m ;
}

/** ------------------------------------------------------------------
 ** @brief Set the Gaussian window size
 ** @param f SIFT filter.
 ** @param x Gaussian window size (in units of spatial bin).
 **
 ** This is the parameter @f$ \hat \sigma_{\text{win}} @f$ of
 ** the standard SIFT descriptor @ref sift-tech-descriptor-std.
 **/

VL_INLINE void
vl_sift_set_window_size (VlSiftFilt *f, double x)
{
  f -> windowSize = x ;
}

/* VL_SIFT_H */
#endif
vlfeat-0.9.16/vl/slic.c000066400000000000000000000334101203326130700146050ustar00rootroot00000000000000/** @file slic.c
 ** @brief SLIC superpixels - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**

@page slic Simple Linear Iterative Clustering (SLIC)
@author Andrea Vedaldi


@ref slic.h implements the Simple Linear Iterative Clustering (SLIC)
algorithm, an image segmentation method described in @cite{achanta10slic}.

- @ref slic-overview
- @ref slic-usage
- @ref slic-tech


@section slic-overview Overview


SLIC @cite{achanta10slic} is a simple and efficient method to decompose
an image in visually homogeneous regions. It is based on a spatially
localized version of k-means clustering. Similar to mean shift or
quick shift (@ref quickshift.h), each pixel is associated to a feature
vector

@f[
\Psi(x,y) =
\left[
\begin{array}{c}
\lambda x \\
\lambda y \\
I(x,y)
\end{array}
\right]
@f]

and then k-means clustering is run on those. As discussed below, the
coefficient @f$ \lambda @f$ balances the spatial and appearance
components of the feature vectors, imposing a degree of spatial
regularization to the extracted regions.

SLIC takes two parameters: the nominal size of the regions
(superpixels) @c regionSize and the strength of the spatial
regularization @c regularizer. The image is first divided into a grid
with step @c regionSize. The center of each grid tile is then used to
initialize a corresponding k-means (up to a small shift to avoid
image edges). Finally, the k-means centers and clusters are refined by
using the Lloyd algorithm, yielding segmenting the image. As a
further restriction and simplification, during the k-means iterations
each pixel can be assigned to only the 2 x 2 centers
corresponding to grid tiles adjacent to the pixel.

The parameter @c regularizer sets the trade-off between clustering
appearance and spatial regularization. This is obtained by setting

@f[
 \lambda = \frac{\mathtt{regularizer}}{\mathtt{regionSize}}
@f]

in the definition of the feature @f$ \psi(x,y) @f$.

After the k-means step, SLIC optionally
removes any segment whose area is smaller than a threshld @c minRegionSize
by merging them into larger ones.


@section slic-usage Usage from the C library


To compute the SLIC superpixels of an image use the function
::vl_slic_segment.


@section slic-tech Technical details


SLIC starts by dividing the image domain into a regular grid with @f$
M \times N @f$ tiles, where

@f[
   M = \lceil \frac{\mathtt{imageWidth}}{\mathtt{regionSize}} \rceil,
   \quad
   N = \lceil \frac{\mathtt{imageHeight}}{\mathtt{regionSize}} \rceil.
@f]

A region (superpixel or k-means cluster) is initialized from each grid
center

@f[
  x_i = \operatorname{round} i \frac{\mathtt{imageWidth}}{\mathtt{regionSize}}
  \quad
  y_j = \operatorname{round} j \frac{\mathtt{imageWidth}}{\mathtt{regionSize}}.
@f]

In order to avoid placing these centers on top of image
discontinuities, the centers are then moved in a 3 x 3
neighbourohood to minimize the edge strength

@f[
   \operatorname{edge}(x,y) =
   \| I(x+1,y) - I(x-1,y) \|_2^2 +
   \| I(x,y+1) - I(x,y-1) \|_2^2.
@f]

Then the regions are obtained by running k-means clustering, started
from the centers

@f[
  C = \{ \Psi(x_i,y_j), i=0,1,\dots,M-1\ j=0,1,\dots,N-1 \}
@f]

thus obtained. K-means uses the standard LLoyd algorithm alternating
assigning pixels to the clostest centers a re-estiamting the centers
as the average of the corresponding feature vectors of the pixel
assigned to them. The only difference compared to standard k-means is
that each pixel can be assigned only to the center originated from the
neighbour tiles. This guarantees that there are exactly four
pixel-to-center comparisons at each round of minimization, which
threfore cost @f$ O(n) @f$, where @f$ n @f$ is the number of
superpixels.

After k-means has converged, SLIC eliminates any connected region whose
area is less than @c minRegionSize pixels. This is done by greedily
merging regions to neighbour ones: the pixels @f$ p @f$ are scanned in
lexicographical order and the corresponding connected components
are visited. If a region has already been visited, it is skipped; if not,
its area is computed and if this is less than  @c minRegionSize its label
is changed to the one of a neighbour
region at @f$ p @f$ that has already been vistied (there is always one
except for the very first pixel).

*/

#include "slic.h"
#include "mathop.h"
#include 
#include 

/** @brief SLIC superpixel segmentation
 ** @param segmentation segmentation.
 ** @param image image to segment.
 ** @param width image width.
 ** @param height image height.
 ** @param numChannels number of image channels (depth).
 ** @param regionSize nominal size of the regions.
 ** @param regularization trade-off between appearance and spatial terms.
 ** @param minRegionSize minimum size of a segment.
 **
 ** The function computes the SLIC superpixels of the specified image @a image.
 ** @a image is a pointer to an @c width by @c height by @c by numChannles array of @c float.
 ** @a segmentation is a pointer to a @c width by @c height array of @c vl_uint32.
 ** @a segmentation contain the labels of each image pixels, from 0 to
 ** the number of regions minus one.
 **
 ** @sa @ref slic-overview, @ref slic-tech
 **/

void
vl_slic_segment (vl_uint32 * segmentation,
                 float const * image,
                 vl_size width,
                 vl_size height,
                 vl_size numChannels,
                 vl_size regionSize,
                 float regularization,
                 vl_size minRegionSize)
{
  vl_index i, x, y, u, v, k, region ;
  vl_uindex iter ;
  vl_size const numRegionsX = (vl_size) ceil((double) width / regionSize) ;
  vl_size const numRegionsY = (vl_size) ceil((double) height / regionSize) ;
  vl_size const numRegions = numRegionsX * numRegionsY ;
  vl_size const numPixels = width * height ;
  float * centers ;
  float * edgeMap ;
  float previousEnergy = VL_INFINITY_F ;
  float startingEnergy ;
  vl_uint32 * masses ;
  vl_size const maxNumIterations = 100 ;

  assert(segmentation) ;
  assert(image) ;
  assert(width >= 1) ;
  assert(height >= 1) ;
  assert(numChannels >= 1) ;
  assert(regionSize >= 1) ;
  assert(regularization >= 0) ;

#define atimage(x,y,k) image[(x)+(y)*width+(k)*width*height]
#define atEdgeMap(x,y) edgeMap[(x)+(y)*width]

  edgeMap = vl_calloc(numPixels, sizeof(float)) ;
  masses = vl_malloc(sizeof(vl_uint32) * numPixels) ;
  centers = vl_malloc(sizeof(float) * (2 + numChannels) * numRegions) ;

  /* compute edge map (gradient strength) */
  for (k = 0 ; k < (signed)numChannels ; ++k) {
    for (y = 1 ; y < (signed)height-1 ; ++y) {
      for (x = 1 ; x < (signed)width-1 ; ++x) {
        float a = atimage(x-1,y,k) ;
        float b = atimage(x+1,y,k) ;
        float c = atimage(x,y+1,k) ;
        float d = atimage(x,y-1,k) ;
        atEdgeMap(x,y) += (a - b)  * (a - b) + (c - d) * (c - d) ;
      }
    }
  }

  /* initialize K-means centers */
  i = 0 ;
  for (v = 0 ; v < (signed)numRegionsY ; ++v) {
    for (u = 0 ; u < (signed)numRegionsX ; ++u) {
      vl_index xp ;
      vl_index yp ;
      vl_index centerx ;
      vl_index centery ;
      float minEdgeValue = VL_INFINITY_F ;

      x = (vl_index) vl_round_d(regionSize * (u + 0.5)) ;
      y = (vl_index) vl_round_d(regionSize * (v + 0.5)) ;

      x = VL_MAX(VL_MIN(x, (signed)width-1),0) ;
      y = VL_MAX(VL_MIN(y, (signed)height-1),0) ;

      /* search in a 3x3 neighbourhood the smallest edge response */
      for (yp = VL_MAX(0, y-1) ; yp <= VL_MIN((signed)height-1, y+1) ; ++ yp) {
        for (xp = VL_MAX(0, x-1) ; xp <= VL_MIN((signed)width-1, x+1) ; ++ xp) {
          float thisEdgeValue = atEdgeMap(xp,yp) ;
          if (thisEdgeValue < minEdgeValue) {
            minEdgeValue = thisEdgeValue ;
            centerx = xp ;
            centery = yp ;
          }
        }
      }

      /* initialize the new center at this location */
      centers[i++] = (float) centerx ;
      centers[i++] = (float) centery ;
      for (k  = 0 ; k < (signed)numChannels ; ++k) {
        centers[i++] = atimage(centerx,centery,k) ;
      }
    }
  }

  /* run k-means iterations */
  for (iter = 0 ; iter < maxNumIterations ; ++iter) {
    float factor = regularization / (regionSize * regionSize) ;
    float energy = 0 ;

    /* assign pixels to centers */
    for (y = 0 ; y < (signed)height ; ++y) {
      for (x = 0 ; x < (signed)width ; ++x) {
        vl_index u = floor((double)x / regionSize - 0.5) ;
        vl_index v = floor((double)y / regionSize - 0.5) ;
        vl_index up, vp ;
        float minDistance = VL_INFINITY_F ;

        for (vp = VL_MAX(0, v) ; vp <= VL_MIN((signed)numRegionsY-1, v+1) ; ++vp) {
          for (up = VL_MAX(0, u) ; up <= VL_MIN((signed)numRegionsX-1, u+1) ; ++up) {
            vl_index region = up  + vp * numRegionsX ;
            float centerx = centers[(2 + numChannels) * region + 0]  ;
            float centery = centers[(2 + numChannels) * region + 1] ;
            float spatial = (x - centerx) * (x - centerx) + (y - centery) * (y - centery) ;
            float appearance = 0 ;
            float distance ;
            for (k = 0 ; k < (signed)numChannels ; ++k) {
              float centerz = centers[(2 + numChannels) * region + k + 2]  ;
              float z = atimage(x,y,k) ;
              appearance += (z - centerz) * (z - centerz) ;
            }
            distance = appearance + factor * spatial ;
            if (minDistance > distance) {
              minDistance = distance ;
              segmentation[x + y * width] = (vl_uint32)region ;
            }
          }
        }
        energy += minDistance ;
      }
    }

    /*
     VL_PRINTF("vl:slic: iter %d: energy: %g\n", iter, energy) ;
    */

    /* check energy termination conditions */
    if (iter == 0) {
      startingEnergy = energy ;
    } else {
      if ((previousEnergy - energy) < 1e-5 * (startingEnergy - energy)) {
        break ;
      }
    }
    previousEnergy = energy ;

    /* recompute centers */
    memset(masses, 0, sizeof(vl_uint32) * width * height) ;
    memset(centers, 0, sizeof(float) * (2 + numChannels) * numRegions) ;

    for (y = 0 ; y < (signed)height ; ++y) {
      for (x = 0 ; x < (signed)width ; ++x) {
        vl_index pixel = x + y * width ;
        vl_index region = segmentation[pixel] ;
        masses[region] ++ ;
        centers[region * (2 + numChannels) + 0] += x ;
        centers[region * (2 + numChannels) + 1] += y ;
        for (k = 0 ; k < (signed)numChannels ; ++k) {
          centers[region * (2 + numChannels) + k + 2] += atimage(x,y,k) ;
        }
      }
    }

    for (region = 0 ; region < (signed)numRegions ; ++region) {
      float mass = VL_MAX(masses[region], 1e-8) ;
      for (i = (2 + numChannels) * region ;
           i < (signed)(2 + numChannels) * (region + 1) ;
           ++i) {
        centers[i] /= mass ;
      }
    }
  }

  vl_free(masses) ;
  vl_free(centers) ;

  /* elimiate small regions */
  {
    vl_uint32 * cleaned = vl_calloc(numPixels, sizeof(vl_uint32)) ;
    vl_uindex * segment = vl_malloc(sizeof(vl_uindex) * numPixels) ;
    vl_size segmentSize ;
    vl_uint32 label ;
    vl_uint32 cleanedLabel ;
    vl_size numExpanded ;
    vl_index const dx [] = {+1, -1,  0,  0} ;
    vl_index const dy [] = { 0,  0, +1, -1} ;
    vl_index direction ;
    vl_index pixel ;

    for (pixel = 0 ; pixel < (signed)numPixels ; ++pixel) {
      if (cleaned[pixel]) continue ;
      label = segmentation[pixel] ;
      numExpanded = 0 ;
      segmentSize = 0 ;
      segment[segmentSize++] = pixel ;

      /*
       find cleanedLabel as the label of an already cleaned
       region neihbour of this pixel
       */
      cleanedLabel = label + 1 ;
      cleaned[pixel] = label + 1 ;
      x = pixel % width ;
      y = pixel / width ;
      for (direction = 0 ; direction < 4 ; ++direction) {
        vl_index xp = x + dx[direction] ;
        vl_index yp = y + dy[direction] ;
        vl_index neighbor = xp + yp * width ;
        if (0 <= xp && xp < (signed)width &&
            0 <= yp && yp < (signed)height &&
            cleaned[neighbor]) {
          cleanedLabel = cleaned[neighbor] ;
        }
      }

      /* expand the segment */
      while (numExpanded < segmentSize) {
        vl_index open = segment[numExpanded++] ;
        x = open % width ;
        y = open / width ;
        for (direction = 0 ; direction < 4 ; ++direction) {
          vl_index xp = x + dx[direction] ;
          vl_index yp = y + dy[direction] ;
          vl_index neighbor = xp + yp * width ;
          if (0 <= xp && xp < (signed)width &&
              0 <= yp && yp < (signed)height &&
              cleaned[neighbor] == 0 &&
              segmentation[neighbor] == label) {
            cleaned[neighbor] = label + 1 ;
            segment[segmentSize++] = neighbor ;
          }
        }
      }

      /* change label to cleanedLabel if the semgent is too small */
      if (segmentSize < minRegionSize) {
        while (segmentSize > 0) {
          cleaned[segment[--segmentSize]] = cleanedLabel ;
        }
      }
    }
    /* restore base 0 indexing of the regions */
    for (pixel = 0 ; pixel < (signed)numPixels ; ++pixel) cleaned[pixel] -- ;

    memcpy(segmentation, cleaned, numPixels * sizeof(vl_uint32)) ;
    vl_free(cleaned) ;
    vl_free(segment) ;
  }
}
vlfeat-0.9.16/vl/slic.h000066400000000000000000000012721203326130700146130ustar00rootroot00000000000000/** @file slic.h
 ** @brief SLIC superpixels (@ref slic)
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_SLIC_H
#define VL_SLIC_H

#include "generic.h"

VL_EXPORT void
vl_slic_segment (vl_uint32 * segmentation,
                 float const * image,
                 vl_size width,
                 vl_size height,
                 vl_size numChannels,
                 vl_size regionSize,
                 float regularization,
                 vl_size minRegionSize) ;

/* VL_SLIC_H */
#endif
vlfeat-0.9.16/vl/stringop.c000066400000000000000000000324071203326130700155250ustar00rootroot00000000000000/** @file stringop.c
 ** @brief String operations - Definition
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**
@file stringop.h
@brief String operations
@author Andrea Vedaldi

@ref stringop.h implements basic string operations. All functions that
write to strings use range checking, which makes them safer than some
standard POSIX equivalent (see @ref vl-stringop-err).

- @ref vl-stringop-enumeration
- @ref vl-stringop-file-protocol
- @ref vl-stringop-err

@section vl-stringop-enumeration Enumerations

@ref stringop.h defines a simple enumeration data type. This is given
by an array of enumeration members, represented by
instances of the ::VlEnumerator strucutre, each storing a
name-value pair. The enumeration must end by a member whose
name is set to @c NULL.

Use ::vl_enumeration_get and ::vl_enumeration_get_casei
to retrieve an enumeration member by name.

@section vl-stringop-file-protocols File protocols

@ref stringop.h defines a few file "protocols" and helps parsing them
from URL-like formatted strings. The supported protocols are:


    
File protocols

    ProtocolCodeURL prefix
    

    ASCII::VL_PROT_ASCIIascii://
    

    BINARY::VL_PROT_BINARYbinary://
    

    

@section vl-stringop-err Detecting overflow

@ref stringop.h functions that write a string to a character buffer take
both the buffer and its size @c n as input. If @c n is not large
enough, the output may be truncated but it is always a null terminated
string (provided that @c n >= 1). Such functions also return the
length of the string that would have been written @c r (which does not
include the terminating null character) had the buffer been large
enough.  Hence an overflow can be detected by testing if @c r
>= @c n, @c r can be used to re-allocate a buffer large enough to
contain the result, and the operation can be repeated.
**/

#include "stringop.h"

#include 
#include 

/** ------------------------------------------------------------------
 ** @brief Extract the protocol prefix from a string
 ** @param string string.
 ** @param protocol protocol code (output).
 ** @return pointer to the first character after the protocol prefix.
 **
 ** The function extracts the prefix of the string @a string
 ** terminated by the first occurrence of the @c :// substring (if
 ** any). It then matches the suffix terminated by @c :// to the
 ** supported @ref vl-stringop-file-protocols protocols. If @c protocol is not
 ** @c NULL, the corresponding protocol code is written to @a protocol
 **
 ** The function writes to @a protocol the value ::VL_PROT_NONE if no
 ** suffix is detected and ::VL_PROT_UNKNOWN if there is a suffix but
 ** it cannot be matched to any of the supported protocols.
 **/

VL_EXPORT char *
vl_string_parse_protocol (char const *string, int *protocol)
{
  char const * cpt ;
  int dummy ;

  /* handle the case prot = 0 */
  if (protocol == 0)
    protocol = &dummy ;

  /* look for :// */
  cpt = strstr(string, "://") ;

  if (cpt == 0) {
    *protocol = VL_PROT_NONE ;
    cpt = string ;
  }
  else {
    if (strncmp(string, "ascii", cpt - string) == 0) {
      *protocol = VL_PROT_ASCII ;
    }
    else if (strncmp(string, "bin",   cpt - string) == 0) {
      *protocol = VL_PROT_BINARY ;
    }
    else {
      *protocol = VL_PROT_UNKNOWN ;
    }
    cpt += 3 ;
  }
  return (char*) cpt ;
}

/** ------------------------------------------------------------------
 ** @brief Get protocol name
 ** @param protocol protocol code.
 ** @return pointer protocol name string.
 **
 ** The function returns a pointer to a string containing the name of
 ** the protocol @a protocol (see the @a vl-file-protocols protocols
 ** list).  If the protocol is unknown the function returns the empty
 ** string.
 **/

VL_EXPORT char const *
vl_string_protocol_name (int protocol)
{
  switch (protocol) {
  case VL_PROT_ASCII:
    return "ascii" ;
  case VL_PROT_BINARY:
    return "bin" ;
  case VL_PROT_NONE :
    return "" ;
  default:
    return 0 ;
  }
}


/** ------------------------------------------------------------------
 ** @brief Extract base of file name
 ** @param destination destination buffer.
 ** @param destinationSize size of destination buffer.
 ** @param source input string.
 ** @param maxNumStrippedExtensions maximum number of extensions to strip.
 ** @return length of the destination string.
 **
 ** The function removes the leading path and up to @c
 ** maxNumStrippedExtensions trailing extensions from the string @a
 ** source and writes the result to the buffer @a destination.
 **
 ** The leading path is the longest suffix that ends with either the
 ** @c \ or @c / characters. An extension is a string starting with
 ** the . character not containing it. For instance, the string @c
 ** file.png contains the extension .png and the string @c
 ** file.tar.gz contains two extensions (.tar and @c .gz).
 **
 ** @sa @ref vl-stringop-err.
 **/

VL_EXPORT vl_size
vl_string_basename (char * destination,
                    vl_size destinationSize,
                    char const * source,
                    vl_size maxNumStrippedExtensions)
{
  char c ;
  vl_uindex k = 0, beg, end ;

  /* find beginning */
  beg = 0 ;
  for (k = 0 ; (c = source[k]) ; ++ k) {
    if (c == '\\' || c == '/') beg = k + 1 ;
  }

  /* find ending */
  end = strlen (source) ;
  for (k = end ; k > beg ; --k) {
    if (source[k - 1] == '.' && maxNumStrippedExtensions > 0) {
      -- maxNumStrippedExtensions ;
      end = k - 1 ;
    }
  }

  return vl_string_copy_sub (destination, destinationSize,
                             source + beg, source + end) ;
}

/** ------------------------------------------------------------------
 ** @brief Replace wildcard characters by a string
 ** @param destination output buffer.
 ** @param destinationSize size of the output buffer.
 ** @param source input string.
 ** @param wildcardChar wildcard character.
 ** @param escapeChar escape character.
 ** @param replacement replacement string.
 **
 ** The function replaces the occurrence of the specified wildcard
 ** character @a wildcardChar by the string @a replacement. The result
 ** is written to the buffer @a destination of size @a
 ** destinationSize.
 **
 ** Wildcard characters may be escaped by preceding them by the @a esc
 ** character. More in general, anything following an occurrence of @a
 ** esc character is copied verbatim. To disable the escape characters
 ** simply set @a esc to 0.
 **
 ** @return length of the result.
 ** @sa @ref vl-stringop-err.
 **/

VL_EXPORT vl_size
vl_string_replace_wildcard (char * destination,
                            vl_size destinationSize,
                            char const * source,
                            char wildcardChar,
                            char escapeChar,
                            char const * replacement)
{
  char c ;
  vl_uindex k = 0 ;
  vl_bool escape = 0 ;

  while ((c = *source++)) {

    /* enter escape mode ? */
    if (! escape && c == escapeChar) {
      escape = 1 ;
      continue ;
    }

    /* wildcard or regular? */
    if (! escape && c == wildcardChar) {
      char const * repl = replacement ;
      while ((c = *repl++)) {
        if (destination && k + 1 < destinationSize) {
          destination[k] = c ;
        }
        ++ k ;
      }
    }
    /* regular character */
    else {
      if (destination && k + 1 < destinationSize) {
        destination[k] = c ;
      }
      ++ k ;
    }
    escape = 0 ;
  }

  /* add trailing 0 */
  if (destinationSize > 0) {
    destination[VL_MIN(k, destinationSize - 1)] = 0 ;
  }
  return  k ;
}

/** ------------------------------------------------------------------
 ** @brief Copy string
 ** @param destination output buffer.
 ** @param destinationSize size of the output buffer.
 ** @param source string to copy.
 ** @return length of the source string.
 **
 ** The function copies the string @a source to the buffer @a
 ** destination of size @a destinationSize.
 **
 ** @sa @ref vl-stringop-err.
 **/

VL_EXPORT vl_size
vl_string_copy (char * destination, vl_size destinationSize,
                char const * source)
{
  char c ;
  vl_uindex k = 0 ;

  while ((c = *source++)) {
    if (destination && k + 1 < destinationSize) {
      destination[k] = c ;
    }
    ++ k ;
  }

  /* finalize */
  if (destinationSize > 0) {
    destination[VL_MIN(k, destinationSize - 1)] = 0 ;
  }
  return  k ;
}

/** ------------------------------------------------------------------
 ** @brief Copy substring
 ** @param destination output buffer.
 ** @param destinationSize  size of output buffer.
 ** @param beginning start of the substring.
 ** @param end end of the substring.
 ** @return length of the destination string.
 **
 ** The function copies the substring from at @a beginning to @a end
 ** (not included) to the buffer @a destination of size @a
 ** destinationSize. If, however, the null character is found before
 ** @a end, the substring terminates there.
 **
 ** @sa @ref vl-stringop-err.
 **/

VL_EXPORT vl_size
vl_string_copy_sub (char * destination,
                    vl_size destinationSize,
                    char const * beginning,
                    char const * end)
{
  char c ;
  vl_uindex k = 0 ;

  while (beginning < end && (c = *beginning++)) {
    if (destination && k + 1 < destinationSize) {
      destination[k] = c ;
    }
    ++ k ;
  }

  /* finalize */
  if (destinationSize > 0) {
    destination[VL_MIN(k, destinationSize - 1)] = 0 ;
  }
  return  k ;
}

/** ------------------------------------------------------------------
 ** @brief Search character in reversed order
 ** @param beginning pointer to the substring beginning.
 ** @param end pointer to the substring end.
 ** @param c character to search for.
 ** @return pointer to last occurrence of @a c, or 0 if none.
 **
 ** The function searches for the last occurrence of the character @a c
 ** in the substring from @a beg to @a end (the latter not being included).
 **/

VL_EXPORT char *
vl_string_find_char_rev (char const *beginning, char const* end, char c)
{
  while (end -- != beginning) {
    if (*end == c) {
      return (char*) end ;
    }
  }
  return 0 ;
}

/** ------------------------------------------------------------------
 ** @brief Calculate string length
 ** @param string string.
 ** @return string length.
 **/

VL_EXPORT vl_size
vl_string_length (char const *string)
{
  vl_uindex i ;
  for (i = 0 ; string[i] ; ++i) ;
  return i ;
}

/** ------------------------------------------------------------------
 ** @brief Compare strings case-insensitive
 ** @param string1 fisrt string.
 ** @param string2 second string.
 ** @return an integer =,<,> 0 if @c string1 =,<,> @c string2
 **/

VL_EXPORT int
vl_string_casei_cmp (const char * string1, const char * string2)
{
  while (tolower((char unsigned)*string1) ==
         tolower((char unsigned)*string2))
  {
    if (*string1 == 0) {
      return 0 ;
    }
    string1 ++ ;
    string2 ++ ;
  }
  return
    (int)tolower((char unsigned)*string1) -
    (int)tolower((char unsigned)*string2) ;
}

/* -------------------------------------------------------------------
 *                                                       VlEnumeration
 * ---------------------------------------------------------------- */

/** @brief Get a member of an enumeration by name
 ** @param enumeration array of ::VlEnumerator objects.
 ** @param name the name of the desired member.
 ** @return enumerator matching @a name.
 **
 ** If @a name is not found in the enumeration, then the value
 ** @c NULL is returned.
 **
 ** @sa vl-stringop-enumeration
 **/

VL_EXPORT VlEnumerator *
vl_enumeration_get (VlEnumerator const *enumeration, char const *name)
{
  assert(enumeration) ;
  while (enumeration->name) {
    if (strcmp(name, enumeration->name) == 0) return (VlEnumerator*)enumeration ;
    enumeration ++ ;
  }
  return NULL ;
}

/** @brief Get a member of an enumeration by name (case insensitive)
 ** @param enumeration array of ::VlEnumerator objects.
 ** @param name the name of the desired member.
 ** @return enumerator matching @a name.
 **
 ** If @a name is not found in the enumeration, then the value
 ** @c NULL is returned. @a string is matched case insensitive.
 **
 **  @sa vl-stringop-enumeration
 **/

VL_EXPORT VlEnumerator *
vl_enumeration_get_casei (VlEnumerator const *enumeration, char const *name)
{
  assert(enumeration) ;
  while (enumeration->name) {
    if (vl_string_casei_cmp(name, enumeration->name) == 0) return (VlEnumerator*)enumeration ;
    enumeration ++ ;
  }
  return NULL ;
}

/** @brief Get a member of an enumeration by value
 ** @param enumeration array of ::VlEnumerator objects.
 ** @param value value of the desired member.
 ** @return enumerator matching @a value.
 **
 ** If @a value is not found in the enumeration, then the value
 ** @c NULL is returned.
 **
 ** @sa vl-stringop-enumeration
 **/

VL_EXPORT VlEnumerator *
vl_enumeration_get_by_value (VlEnumerator const *enumeration, vl_index value)
{
  assert(enumeration) ;
  while (enumeration->name) {
    if (enumeration->value == value) return (VlEnumerator*)enumeration ;
    enumeration ++ ;
  }
  return NULL ;
}

vlfeat-0.9.16/vl/stringop.h000066400000000000000000000042731203326130700155320ustar00rootroot00000000000000/** @file stringop.h
 ** @brief String operations
 ** @author Andrea Vedaldi
 **/

/*
Copyright (C) 2007-12 Andrea Vedaldi and Brian Fulkerson.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_STRINGOP_H
#define VL_STRINGOP_H

#include "generic.h"

/* file protocols */
enum {
  VL_PROT_UNKNOWN = -1, /**< unknown protocol */
  VL_PROT_NONE    =  0, /**< no protocol      */
  VL_PROT_ASCII,        /**< ASCII protocol   */
  VL_PROT_BINARY        /**< Binary protocol  */
} ;


VL_EXPORT vl_size vl_string_copy (char *destination, vl_size destinationSize, char const *source) ;
VL_EXPORT vl_size vl_string_copy_sub (char *destination, vl_size destinationSize,
                                      char const *beginning, char const *end) ;
VL_EXPORT char *vl_string_parse_protocol (char const *string, int *protocol) ;
VL_EXPORT char const *vl_string_protocol_name (int prot) ;
VL_EXPORT vl_size vl_string_basename (char *destination, vl_size destinationSize,
                                      char const *source, vl_size maxNumStrippedExtension) ;
VL_EXPORT vl_size vl_string_replace_wildcard (char * destination, vl_size destinationSize,
                                              char const *src, char wildcardChar, char escapeChar,
                                              char const *replacement) ;
VL_EXPORT char *vl_string_find_char_rev (char const *beginning, char const *end, char c) ;
VL_EXPORT vl_size vl_string_length (char const *string) ;
VL_EXPORT int vl_string_casei_cmp (const char *string1, const char *string2) ;

/** @name String enumerations
 ** @{ */

/** @brief Member of an enumeration */
typedef struct _VlEnumerator
{
  char const *name ; /**< enumeration member name. */
  vl_index value ;   /**< enumeration member value. */
} VlEnumerator ;

VL_EXPORT VlEnumerator *vl_enumeration_get (VlEnumerator const *enumeration, char const *name) ;
VL_EXPORT VlEnumerator *vl_enumeration_get_casei (VlEnumerator const *enumeration, char const *name) ;
VL_EXPORT VlEnumerator *vl_enumeration_get_by_value (VlEnumerator const *enumeration, vl_index value) ;
/** @} */

/* VL_STRINGOP_H */
#endif
vlfeat-0.9.16/vl/svmdataset.c000066400000000000000000000142041203326130700160260ustar00rootroot00000000000000/** @file svmdataset.c
 ** @brief Svm Dataset - Definition
 ** @author Daniele Perrone
 **/

/*
Copyright (C) 2012 Daniele Perrone.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

/**
@file svmdataset.h

Any SVM solver requires a set of training data in order to learn a
correspondent classifier.

Regardless the kind of SVM solver, the training data is used and
accessed in a similar manner.

In @ref svmdataset.h we define an abstraction that separates the
particular SVM algorithm from the representation of the data. Such
abstraction is defined via two type of functions:

- Inner Product ::VlSvmDatasetInnerProduct .
- Accumulation ::VlSvmDatasetAccumulator .

The above type of functions define the two typical operations
performed by SVM solvers on the training data. Any particular
application can define its own data representation and implement the
above functions. 

For double and float arrays we provide the implementation of the
aforementioned functions.

We define also an utility struct @ref VlSvmDataset that implements the
online expansions of data points. This allows the use of techniques
such homogeneous kernel maps @cite{vedaldi11efficient} inside the SVM
solver.
**/

#ifndef VL_SVMDATASET_INSTANTIATING

#include "svmdataset.h"
#include 
#include 

/** ------------------------------------------------------------------
 ** @brief Create a new SVM dataset structure
 ** @param data      pointer to data.
 ** @param dimension data point dimension.
 ** @return the new SVM dataset structure.
 **
 ** The function allocates and returns a new SVM dataset structure.
 **
 ** The data pointed by @data is not replicated, so the caller should
 ** keep the data allocated for the full usage of the structure.
 **
 ** @sa ::vl_svmdataset_delete().
 **/

VL_EXPORT
VlSvmDataset* vl_svmdataset_new (void * data, vl_size dimension)
{
  VlSvmDataset * dataset ;
  dataset = (VlSvmDataset*) vl_malloc(sizeof(VlSvmDataset)) ;
  dataset->data = data ;
  dataset->dimension = dimension ;
  dataset->map = NULL ;
  dataset->mapFunc = NULL ;
  dataset->order = 1 ;
  return dataset ;
}

/** ------------------------------------------------------------------
 ** @brief Set feature map
 ** @param data SVM dataset Structure
 ** @param map pointer to Feature Map Object
 ** @param mapFunc function that perform the feature map
 ** @param order order of the map
 **
 ** The function sets a feature map to the SVM dataset @data. The
 ** dimension of the extended data points is /f$2*order + 1/f$.
 **/

VL_EXPORT
void vl_svmdataset_set_map (VlSvmDataset * data, void * map,
                            VlSvmDatasetFeatureMap mapFunc, vl_size order)
{
  data->map  = map ;
  data->mapFunc = mapFunc ;
  data->order = order ;
}

/** -------------------------------------------------------------------
 ** @brief Delete a SVM dataset structure
 ** @param dataset SVM dataset to delete.
 **
 ** The function frees the resources allocated by
 ** ::vl_svmdataset_new(). Notice that only the structure will be
 ** freed and not the raw data referred by the pointer @data.
 **/

VL_EXPORT
void vl_svmdataset_delete (VlSvmDataset * dataset)
{
  vl_free(dataset) ;
}

#define FLT VL_TYPE_FLOAT
#define VL_SVMDATASET_INSTANTIATING
#include "svmdataset.c"

#define FLT VL_TYPE_DOUBLE
#define VL_SVMDATASET_INSTANTIATING
#include "svmdataset.c"

/* VL_SVMDATASET_INSTANTIATING */
#else

#include "float.th"

/** @fn vl_svmdataset_innerproduct_d (const void*, const vl_uindex,const double*)
 ** @param data Pointer to the training data.
 ** @param element Index of data point.
 ** @param model SVM model.
 **
 ** The function performs the inner product between the @a element
 ** data point and the model @a model.
 **
 ** @see @ref svmdataset-overview
 **/

/** @fn  vl_svmdataset_innerproduct_f (const void*, const vl_uindex,const double*)
 ** @see ::vl_svmdataset_innerproduct_d
 **/

VL_EXPORT double
VL_XCAT(vl_svmdataset_innerproduct_,SFX) (const void* data, const vl_uindex element,
                                          const double* model)
{
  vl_size i, j ;
  T* tData ;
  double res = 0 ;
  VlSvmDataset* sdata = (VlSvmDataset*) data ;

  tData  = (T*) sdata->data ;

  if (sdata->mapFunc) {
    double *temp = vl_malloc(sizeof(double) * sdata->order) ;
    for (i = 0; i < sdata->dimension; i++) {
      sdata->mapFunc(sdata->map,temp,1,tData[element*sdata->dimension + i]);

      for (j = 0; j < sdata->order; j++) {
        res += model[i*sdata->order + j]*temp[j] ;
      }
    }
    vl_free(temp) ;
  } else {
    for (i = 0; i < sdata->dimension; i++) {
      res += model[i]*(double)(tData[element*sdata->dimension + i]) ;
    }
  }
  return res ;
}

/** @fn vl_svmdataset_accumulator_d (const void*, const vl_uindex,double*, const double)
 ** @param data Pointer to the training data.
 ** @param element Index of data point.
 ** @param model SVM model.
 ** @param multiplier Constant that multiplies the data point.
 **
 ** The function adds to the model @a model the data point selected by
 ** @element multiplied by @multiplier.
 **
 ** @see @ref svmdataset-overview
 **/

/** @fn  vl_svmdataset_accumulator_f (const void*, const vl_uindex,double*, const double)
 ** @see ::vl_svmdataset_accumulator_d
 **/

VL_EXPORT void
VL_XCAT(vl_svmdataset_accumulator_,SFX)(const void* data,
                                        const vl_uindex element,
                                        double * model,
                                        const double multiplier)
{
  vl_size i,j ;
  T* tData ;
  VlSvmDataset* sdata = (VlSvmDataset*) data ;
  tData  = (T*) sdata->data ;

  if (sdata->mapFunc) {
    double * temp = vl_malloc(sizeof(double)*sdata->order) ;
    for (i = 0; i < sdata->dimension; i++) {
      sdata->mapFunc(sdata->map,temp,1,tData[element*sdata->dimension + i]) ;
      for (j = 0; j < sdata->order; j++){
        model[i*sdata->order + j] += multiplier * temp[j] ;
      }
    }
    vl_free(temp) ;
  } else {
    for (i = 0; i < sdata->dimension; i++) {
      model[i] += multiplier * tData[element*sdata->dimension + i] ;
    }
  }
}

/* VL_SVMDATASET_INSTANTIATING */
#undef FLT
#undef VL_SVMDATASET_INSTANTIATING
#endif
vlfeat-0.9.16/vl/svmdataset.h000066400000000000000000000135051203326130700160360ustar00rootroot00000000000000/** @file svmdataset.h
 ** @brief SVM Dataset
 ** @author Daniele Perrone
 **/

/*
Copyright (C) 2012 Daniele Perrone.
All rights reserved.

This file is part of the VLFeat library and is made available under
the terms of the BSD license (see the COPYING file).
*/

#ifndef VL_SVMDATASET_H
#define VL_SVMDATASET_H

#include "generic.h"

/* ---------------------------------------------------------------- */
/*                                                                  */
/* ---------------------------------------------------------------- */

/** @typedef VlSvmDatasetFeatureMap
 ** @brief Pointer to a function that maps the value in @x to
 ** @destination using the feature map @map
 **/
typedef void (*VlSvmDatasetFeatureMap)(const void* map, double * destination,
                                       const vl_size stride, const double x) ;

/** @typedef VlSvmDatasetInnerProduct
 ** @brief Pointer to a function that defines the inner product
 ** between the data point at position @element and the SVM model
 **/
typedef double (*VlSvmDatasetInnerProduct)(const void* data,
                                           const vl_uindex element,
                                           const double* model) ;

/** @typedef VlSvmDatasetAccumulator
 ** @brief Pointer to a function that adds to @model the data point at
 ** position @element multiplied by the constant @multiplier
 **/
typedef void (*VlSvmDatasetAccumulator)(const void* data,
                                        const vl_uindex element,
                                        double * model,
                                        const double multiplier) ;


/* ---------------------------------------------------------------- */
/*                                                                  */
/* ---------------------------------------------------------------- */

/** @brief Svm Dataset
 **
 ** This structure is a wrapper for a generic SVM dataset. It should
 ** be provided with a set of functions of type
 ** @ref VlSvmDatasetInnerProduct and @ref VlSvmDatasetAccumulator
 **/
typedef struct _VlSvmDataset {
  void * data ;                 /**< pointer to data */
  vl_size dimension ;           /**< data point dimension */
  void* map ;                   /**< feature Map */
  VlSvmDatasetFeatureMap mapFunc ; /**< function that defines the feature map*/
  vl_size order ;                  /**< order of expansion of the feture map */
} VlSvmDataset ;

/** @name Create and destroy
 ** @{
 **/
VL_EXPORT
VlSvmDataset* vl_svmdataset_new (void * data, vl_size dimension) ;

VL_EXPORT
void vl_svmdataset_delete (VlSvmDataset * dataset) ;
/** @} */

/** @name Set map
 ** @{
 **/
VL_EXPORT
void vl_svmdataset_set_map (VlSvmDataset * data, void * map,
                            VlSvmDatasetFeatureMap mapFunc, vl_size order) ;
/** @} */

/* ---------------------------------------------------------------- */
/*    Standard Atomic Functions                                     */
/* ---------------------------------------------------------------- */

/** @name Standard dataset functions
 ** @{
 **/
VL_EXPORT
double vl_svmdataset_innerproduct_d(const void* data,
                                    const vl_uindex element,
                                    const double* model) ;

VL_EXPORT
void vl_svmdataset_accumulator_d(const void* data,
                                 const vl_uindex element,
                                 double * model,
                                 const double multiplier) ;

VL_EXPORT
double vl_svmdataset_innerproduct_f(const void* data,
                                    const vl_uindex element,
                                    const double* model) ;

VL_EXPORT
void vl_svmdataset_accumulator_f(const void* data,
                                 const vl_uindex element,
                                 double * model,
                                 const double multiplier) ;
/** @} */

/** @name Retrieve data and parameters
 ** @{
 **/
VL_INLINE void*   vl_svmdataset_get_data (VlSvmDataset const *self) ;
VL_INLINE vl_size vl_svmdataset_get_dimension (VlSvmDataset const *self) ;
VL_INLINE void*   vl_svmdataset_get_map (VlSvmDataset const *self) ;
VL_INLINE VlSvmDatasetFeatureMap vl_svmdataset_get_map_func (VlSvmDataset const *self) ;
VL_INLINE vl_size vl_svmdataset_get_order (VlSvmDataset const *self) ;
/** @} */

/* -------------------------------------------------------------------
 *                                     Inline functions implementation
 * ---------------------------------------------------------------- */

/** ------------------------------------------------------------------
 ** @brief Get Data.
 ** @param self Svm Dataset.
 ** @return data pointer.
 **/

VL_INLINE void*
vl_svmdataset_get_data (VlSvmDataset const *self)
{
  return self->data ;
}

/** ------------------------------------------------------------------
 ** @brief Get Data Dimension.
 ** @param self Svm Dataset.
 ** @return data dimension.
 **/

VL_INLINE vl_size
vl_svmdataset_get_dimension (VlSvmDataset const *self)
{
  return self->dimension ;
}

/** ------------------------------------------------------------------
 ** @brief Get Feature Map Object.
 ** @param self Svm Dataset.
 ** @return feature map.
 **/

VL_INLINE void*
vl_svmdataset_get_map (VlSvmDataset const *self)
{
  return self->map ;
}

/** ------------------------------------------------------------------
 ** @brief Get Feature Map Function.
 ** @param self Svm Dataset.
 ** @return feature map function.
 **/

VL_INLINE VlSvmDatasetFeatureMap
vl_svmdataset_get_map_func (VlSvmDataset const *self)
{
  return self->mapFunc ;
}

/** ------------------------------------------------------------------
 ** @brief Get Feature Map Order.
 ** @param self Svm Dataset.
 ** @return feature map order.
 **/

VL_INLINE vl_size
vl_svmdataset_get_map_order (VlSvmDataset const *self)
{
  return self->order ;
}
/* VL_SVMDATASET_H */
#endif


vlfeat-0.9.16/vlfeat.sln000066400000000000000000000015551203326130700150720ustar00rootroot00000000000000
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vlfeat-0.9.16/vlfeat.vcproj000066400000000000000000000266221203326130700156030ustar00rootroot00000000000000

	
		
	
	
	
	
		
			
		
		
			
		
	
	
	
	
		
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
		
		
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
		
		
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
			
		
		
			
			
			
			
			
			
			
			
			
			
			
			
			
			
		
		
		
		
		
	
	
	

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vlfeat-0.9.16/vlfeat.xcodeproj/xcshareddata/xcschemes/make info.xcscheme000066400000000000000000000040771203326130700263410ustar00rootroot00000000000000

   
      
         
            
            
         
      
   
   
      
      
   
   
      
      
   
   
   
   
   
   
   

vlfeat-0.9.16/vlfeat.xcodeproj/xcshareddata/xcschemes/make.xcscheme000066400000000000000000000040631203326130700254200ustar00rootroot00000000000000

   
      
         
            
            
         
      
   
   
      
      
   
   
      
      
   
   
   
   
   
   
   


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