文件名称:Demo_RSC_AR_disguise
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- 上传时间：2014-11-04
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文件大小：1mb
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稀疏表示人脸识别算法。稀疏表示是最近几年信号处理领域的热点之一，简单来说，它其实是一种对原始信号的分解过程，该分解过程借助一个事先得到的字典（也有人称之为过完备基，overcomplete basis，后面会介绍到），将输入信号表示为字典的线性近似的过程。-Sparse representation recognition algorithms. Sparse representation is one of the last few years the hot field of signal processing, in simple terms, it is actually a process of decomposition of the original signal, the decomposition process by means of a prior dictionary (which was also called the over-complete base, overcomplete basis , will be introduced to later), the input signal is expressed as a linear approximation process of the dictionary.
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下载文件列表
Demo_RSC_AR_disguise/
Demo_RSC_AR_disguise/baboon.tif
Demo_RSC_AR_disguise/database/
Demo_RSC_AR_disguise/Demo_RSC_AR_disguise.m
Demo_RSC_AR_disguise/Demo_RSC_AR_disguise2.m
Demo_RSC_AR_disguise/Demo_RSC_FR_noocclusion.asv
Demo_RSC_AR_disguise/Demo_RSC_FR_noocclusion.m
Demo_RSC_AR_disguise/Demo_RSC_Random_Corruption.asv
Demo_RSC_AR_disguise/Demo_RSC_Random_Corruption.m
Demo_RSC_AR_disguise/Demo_RSC_Random_Occlusion.asv
Demo_RSC_AR_disguise/Demo_RSC_Random_Occlusion.m
Demo_RSC_AR_disguise/l1_ls_matlab/
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/ctranspose.m
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/mtimes.m
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/partialDCT.m
Demo_RSC_AR_disguise/l1_ls_matlab/find_lambdamax_l1_ls.m
Demo_RSC_AR_disguise/l1_ls_matlab/find_lambdamax_l1_ls_nonneg.m
Demo_RSC_AR_disguise/l1_ls_matlab/l1_ls.m
Demo_RSC_AR_disguise/l1_ls_matlab/l1_ls_nonneg.m
Demo_RSC_AR_disguise/l1_ls_matlab/l1_ls_usrguide.pdf
Demo_RSC_AR_disguise/l1_ls_matlab/operator_example.m
Demo_RSC_AR_disguise/l1_ls_matlab/README.TXT
Demo_RSC_AR_disguise/l1_ls_matlab/simple_example.m
Demo_RSC_AR_disguise/rand_w_h.mat
Demo_RSC_AR_disguise/ReadMe.txt
Demo_RSC_AR_disguise/utilities/
Demo_RSC_AR_disguise/utilities/Eigenface_f.m
Demo_RSC_AR_disguise/utilities/Random_Block_Occlu.asv
Demo_RSC_AR_disguise/utilities/Random_Block_Occlu.m
Demo_RSC_AR_disguise/utilities/Random_Pixel_Crop.asv
Demo_RSC_AR_disguise/utilities/Random_Pixel_Crop.m
Demo_RSC_AR_disguise/utilities/RSC.m
Demo_RSC_AR_disguise/utilities/Weight_M_update.asv
Demo_RSC_AR_disguise/baboon.tif
Demo_RSC_AR_disguise/database/
Demo_RSC_AR_disguise/Demo_RSC_AR_disguise.m
Demo_RSC_AR_disguise/Demo_RSC_AR_disguise2.m
Demo_RSC_AR_disguise/Demo_RSC_FR_noocclusion.asv
Demo_RSC_AR_disguise/Demo_RSC_FR_noocclusion.m
Demo_RSC_AR_disguise/Demo_RSC_Random_Corruption.asv
Demo_RSC_AR_disguise/Demo_RSC_Random_Corruption.m
Demo_RSC_AR_disguise/Demo_RSC_Random_Occlusion.asv
Demo_RSC_AR_disguise/Demo_RSC_Random_Occlusion.m
Demo_RSC_AR_disguise/l1_ls_matlab/
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/ctranspose.m
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/mtimes.m
Demo_RSC_AR_disguise/l1_ls_matlab/@partialDCT/partialDCT.m
Demo_RSC_AR_disguise/l1_ls_matlab/find_lambdamax_l1_ls.m
Demo_RSC_AR_disguise/l1_ls_matlab/find_lambdamax_l1_ls_nonneg.m
Demo_RSC_AR_disguise/l1_ls_matlab/l1_ls.m
Demo_RSC_AR_disguise/l1_ls_matlab/l1_ls_nonneg.m
Demo_RSC_AR_disguise/l1_ls_matlab/l1_ls_usrguide.pdf
Demo_RSC_AR_disguise/l1_ls_matlab/operator_example.m
Demo_RSC_AR_disguise/l1_ls_matlab/README.TXT
Demo_RSC_AR_disguise/l1_ls_matlab/simple_example.m
Demo_RSC_AR_disguise/rand_w_h.mat
Demo_RSC_AR_disguise/ReadMe.txt
Demo_RSC_AR_disguise/utilities/
Demo_RSC_AR_disguise/utilities/Eigenface_f.m
Demo_RSC_AR_disguise/utilities/Random_Block_Occlu.asv
Demo_RSC_AR_disguise/utilities/Random_Block_Occlu.m
Demo_RSC_AR_disguise/utilities/Random_Pixel_Crop.asv
Demo_RSC_AR_disguise/utilities/Random_Pixel_Crop.m
Demo_RSC_AR_disguise/utilities/RSC.m
Demo_RSC_AR_disguise/utilities/Weight_M_update.asv
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