文件名称:vlfeat-0.9.18-bin
介绍说明－－下载内容均来自于网络，请自行研究使用
行人检测、图像目标分类的相关特征如HOG，SIFT、LIOP、聚类等，对初始研究者有很大帮助。-Pedestrian detection, correlation feature of image classification as HOG, SIFT, LIOP, clustering, the initial investigators of great help.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
vlfeat-0.9.18-bin
.................\pax_global_header
.................\vlfeat-0.9.18
.................\.............\.gitattributes
.................\.............\.gitignore
.................\.............\COPYING
.................\.............\Makefile
.................\.............\Makefile.mak
.................\.............\README
.................\.............\apps
.................\.............\....\phow_caltech101.m
.................\.............\....\recognition
.................\.............\....\...........\encodeImage.m
.................\.............\....\...........\experiments.m
.................\.............\....\...........\extendDescriptorsWithGeometry.m
.................\.............\....\...........\getDenseSIFT.m
.................\.............\....\...........\readImage.m
.................\.............\....\...........\setupCaltech256.m
.................\.............\....\...........\setupFMD.m
.................\.............\....\...........\setupGeneric.m
.................\.............\....\...........\setupScene67.m
.................\.............\....\...........\setupVoc.m
.................\.............\....\...........\trainEncoder.m
.................\.............\....\...........\traintest.m
.................\.............\....\sift_mosaic.m
.................\.............\bin
.................\.............\...\glnx86
.................\.............\...\......\aib
.................\.............\...\......\libvl.so
.................\.............\...\......\mser
.................\.............\...\......\sift
.................\.............\...\......\test_gauss_elimination
.................\.............\...\......\test_getopt_long
.................\.............\...\......\test_gmm
.................\.............\...\......\test_heap-def
.................\.............\...\......\test_host
.................\.............\...\......\test_imopv
.................\.............\...\......\test_kmeans
.................\.............\...\......\test_liop
.................\.............\...\......\test_mathop
.................\.............\...\......\test_mathop_abs
.................\.............\...\......\test_nan
.................\.............\...\......\test_qsort-def
.................\.............\...\......\test_rand
.................\.............\...\......\test_sqrti
.................\.............\...\......\test_stringop
.................\.............\...\......\test_svd2
.................\.............\...\......\test_threads
.................\.............\...\......\test_vec_comp
.................\.............\...\glnxa64
.................\.............\...\.......\aib
.................\.............\...\.......\libvl.so
.................\.............\...\.......\mser
.................\.............\...\.......\sift
.................\.............\...\.......\test_gauss_elimination
.................\.............\...\.......\test_getopt_long
.................\.............\...\.......\test_gmm
.................\.............\...\.......\test_heap-def
.................\.............\...\.......\test_host
.................\.............\...\.......\test_imopv
.................\.............\...\.......\test_kmeans
.................\.............\...\.......\test_liop
.................\.............\...\.......\test_mathop
.................\.............\...\.......\test_mathop_abs
.................\.............\...\.......\test_nan
.................\.............\...\.......\test_qsort-def
.................\.............\...\.......\test_rand
.................\.............\...\.......\test_sqrti
.................\.............\...\.......\test_stringop
.................\.............\...\.......\test_svd2
.................\.............\...\.......\test_threads
.................\.............\...\.......\test_vec_comp
.................\.............\...\maci
.................\.............\...\....\aib
.................\.............\...\....\libvl.dylib
.................\.............\...\....\mser
.................\.............\...\....\sift
.............