文件名称:Demo_RSC_AR_disguise
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2014-11-04
- 文件大小：
- 1mb
- 下载次数：
- 0次
- 提 供 者：
- zhaiy******
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
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
....................\baboon.tif
....................\database
....................\Demo_RSC_AR_disguise.m
....................\Demo_RSC_AR_disguise2.m
....................\Demo_RSC_FR_noocclusion.asv
....................\Demo_RSC_FR_noocclusion.m
....................\Demo_RSC_Random_Corruption.asv
....................\Demo_RSC_Random_Corruption.m
....................\Demo_RSC_Random_Occlusion.asv
....................\Demo_RSC_Random_Occlusion.m
....................\l1_ls_matlab
....................\............\@partialDCT
....................\............\...........\ctranspose.m
....................\............\...........\mtimes.m
....................\............\...........\partialDCT.m
....................\............\find_lambdamax_l1_ls.m
....................\............\find_lambdamax_l1_ls_nonneg.m
....................\............\l1_ls.m
....................\............\l1_ls_nonneg.m
....................\............\l1_ls_usrguide.pdf
....................\............\operator_example.m
....................\............\README.TXT
....................\............\simple_example.m
....................\rand_w_h.mat
....................\ReadMe.txt
....................\utilities
....................\.........\Eigenface_f.m
....................\.........\Random_Block_Occlu.asv
....................\.........\Random_Block_Occlu.m
....................\.........\Random_Pixel_Crop.asv
....................\.........\Random_Pixel_Crop.m
....................\.........\RSC.m
....................\.........\Weight_M_update.asv