文件名称:PCA_basedFace
介绍说明－－下载内容均来自于网络，请自行研究使用
用matlab编写的基于PCA的人脸识别算法，包含图片库，可以直接运行，找出图片库中与测试图片相匹配的图片。-Matlab prepared with PCA-based face recognition algorithms, including image libraries, can be run to identify and test gallery picture of the picture to match.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
PCA_based Face(可运行出匹配图片)
................................\CreateDatabase.m
................................\EigenfaceCore.m
................................\example.m
................................\Readme.txt
................................\Recognition.m
................................\TestDatabase
................................\............\5.jpg
................................\............\6.jpg
................................\............\7.jpg
................................\............\8.jpg
................................\............\9.jpg
................................\TrainDatabase
................................\.............\14.jpg
................................\.............\15.jpg
................................\.............\16.jpg
................................\.............\17.jpg
................................\.............\18.jpg
................................\.............\19.jpg
................................\.............\2.jpg
................................\.............\20.jpg
................................\.............\3.jpg
................................\.............\4.jpg
................................\.............\5.jpg
................................\.............\6.jpg
................................\.............\7.jpg
................................\.............\8.jpg
................................\.............\9.jpg
................................\CreateDatabase.m
................................\EigenfaceCore.m
................................\example.m
................................\Readme.txt
................................\Recognition.m
................................\TestDatabase
................................\............\5.jpg
................................\............\6.jpg
................................\............\7.jpg
................................\............\8.jpg
................................\............\9.jpg
................................\TrainDatabase
................................\.............\14.jpg
................................\.............\15.jpg
................................\.............\16.jpg
................................\.............\17.jpg
................................\.............\18.jpg
................................\.............\19.jpg
................................\.............\2.jpg
................................\.............\20.jpg
................................\.............\3.jpg
................................\.............\4.jpg
................................\.............\5.jpg
................................\.............\6.jpg
................................\.............\7.jpg
................................\.............\8.jpg
................................\.............\9.jpg