使用random forest实现了图像的精细区域描述我要分享

The fine region description of image is realized by using random forest

random forest 姚邦鹏

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文件大小: 953KB

代码分类: 图像处理

开发平台: matlab

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代码描述

中文说明:

斯坦福大学的姚邦鹏开发的一个图像分类算法,使用random forest实现了图像的精细区域描述,赢得了PASCAL VOC2011图像分类竞赛中的winner prize.经测试,程序完全可运行,且提供了MAC和Windows下的两种程序。


English Description:

Yao bangpeng of Stanford University developed an image classification algorithm, using random forest to achieve the fine region description of the image, and won the winner prize in Pascal voc2011 image classification competition. After testing, the program can run completely, and provides two kinds of programs under Mac and windows.


代码预览

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..........\.DS_Store

..........\createConfiguration.m

..........\createForegroundImages.m

..........\createMatFilesBg.m

..........\createMatFilesFg.m

..........\decisiontree.cpp

..........\decisiontree.h

..........\decisiontree.h~

..........\dttest.cpp

..........\dttest.mexa64

..........\dttrain.cpp

..........\dttrain.mexa64

..........\dttrain.mexmaci64

..........\evaluation.m

..........\extractLLC.m

..........\extractSIFT.m

..........\feature.cpp

..........\feature.h

..........\feature.h~

..........\generateDictionary.m

..........\generateSIFTGrid.m

..........\generateSIFTGridBg.m

..........\generate_idsfile.m

..........\generate_idsfile_fg.m

..........\generate_idsfile_fg_test.m

..........\generate_idsfile_test.m

..........\generate_matinputfile.m

..........\generate_matinputfile_fg.m

..........\getDistIdx.m

..........\getIdxXNewAction.m

..........\getIdxYNewAction.m

..........\GetSparseDataFunc.cpp

..........\GetSparseDataFunc.mexa64

..........\linear.cpp

..........\linear.h

..........\litekmeans.m

..........\LLC_coding_appr.m

..........\LLC_pooling.m

..........\mainfun.m

..........\mainfun.m~

..........\make_dir.m

..........\maxIdxPascal.m

..........\MaxPoolingData.cpp

..........\MaxPoolingData.mexa64

..........\nodeclassifier.cpp

..........\nodeclassifier.h

..........\outputBinaryFeature.m

..........\parameters.cpp

..........\parameters.h

..........\parameters.h~

..........\parsave.m

..........\htm" target=_blank>README

..........\htm" target=_blank>README~

..........\saveFileFunc.m

..........\saveFileFunc.m~

..........\sp_dist2.m

..........\sp_find_sift_grid.m

..........\sp_load_image.m

..........\sp_normalize_sift.m

..........\test_RF.m

..........\train_RF.m

..........\treeaccessory.cpp

..........\treeaccessory.cpp~

..........\treeaccessory.h

..........\treeaccessory.h~

..........\trees

..........\trees.mat

..........\tron.cpp

..........\tron.cpp~

..........\tron.h

..........\VOCcode

..........\.......\PASemptyobject.m

..........\.......\PASemptyrecord.m

..........\.......\PASerrmsg.m

..........\.......\PASreadrecord.m

..........\.......\PASreadrectxt.m

..........\.......\VOCap.m

..........\.......\VOCevalaction.m

..........\.......\VOCevalcls.m

..........\.......\VOCevaldet.m

..........\.......\VOCevallayout_pr.m

..........\.......\VOCevalseg.m

..........\.......\VOChash_init.m

..........\.......\VOChash_lookup.m

..........\.......\VOCinit.m

..........\.......\VOCinit.m~

..........\.......\VOClabelcolormap.m

..........\.......\VOCreadrecxml.m

..........\.......\VOCreadxml.m

..........\.......\VOCwritexml.m

..........\.......\VOCxml2struct.m

..........\yblas.cpp

..........\yblas.cpp~

..........\yblas.h

..........\yblas.h~

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