%0 Journal Article
%T Face Recognition Based on Dynamic Principal Component Subspace<br>基于动态主成分子空间的人脸识别算法
%A ZOU Jian-fa
%A GONG Xun
%A WANG Guo-yin
%A <br>邹建法
%A 龚勋
%A 王国胤
%J 计算机科学
%D 2009
%I 
%X The significance of principal component was determined by the corresponding eigenvalue in face recognition based on subspace analysis,then a static feature subspace was established.However,it could result in an inaccurate performance by analyzing the process of face reconstruction.A dynamic feature subspace algorithm was proposed according to multiple linear regression analysis.Furthermore,a dynamic principal component analysis(DPCA)and a Gabor feature based dynamic principal component analysis(GDPCA)were b...
%K Face recognition
%K Feature selection
%K Principal component analysis
%K Gabor feature
%K Regression analysis<br>人脸识别
%K 特征选择
%K 主成分分析
%K Gabor特征
%K 回归分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=8EA4C6A69525B2390D4FDD48CDD2C3C4&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=0B39A22176CE99FB&sid=4D7D059FFBF006B9&eid=7ABC4505E3960D2B&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=12