%0 Journal Article
%T Face Feature Extraction Based on Overcomplete ICA Feature Extraction<br>基于Overcomplete ICA的人脸特征提取
%A JIANG Yu-Wen
%A ZHU Si-Ming
%A <br>江宇闻
%A 朱思铭
%J 计算机科学
%D 2005
%I 
%X Face feature extraction is the key procedure in face recognition. An important approach of face extraction is to face a set of base images, then represent faces as a linear combination of those base images. During the procedure of finding base images using PCA and ICA, the number of source images is equal to base images. In the paper, we present a face feature extraction approach, which gain the the number base images is lager than source images. At the end of thts paper, we give a face recognition examination using Overcomplete ICA feture extraction and shortest dis- tant separation, and compare the result with PCA and ICA.
%K Face recognition
%K Feature extraction
%K Overcomplete ICA<br>人脸特征提取
%K ICA
%K 人脸识别
%K 线性叠加
%K 人脸表示
%K 提取方法
%K 最小距离
%K 识别效果
%K PCA
%K 图像
%K 分离器
%K 像数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=E284BB7B1BEEF89F&yid=2DD7160C83D0ACED&vid=9971A5E270697F23&iid=DF92D298D3FF1E6E&sid=F1177A9DF1349B63&eid=31611641D4BB139F&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10