%0 Journal Article
%T Adaptive Weighted Variational 2DPCA for Face Recognition<br>一种自适应加权变形的2DPCA人脸识别方法
%A ZENG Yue
%A FENG Da-zheng
%A <br>曾岳
%A 冯大政
%J 计算机科学
%D 2011
%I 
%X For full using of local information and more discriminative information of the image matrix to improve the recognition rate of 2DPCA, an adaptive weighted variational 2DPCA for face recognition was presented, which partitions its subpatterns from an original whole image, extracts features from them in the variational 2DPCA, adaptively computes the weight of each subpattern in classification,finally makes classiffication in terms of weight of each classification. The experiments on ORI. face bases show this algorithm is also superior to the traditional 2DPCA and Modular 2DPCA in terms of the recognition accuracy and recognition time.
%K Adaptation
%K Face recognition
%K Recognition rate
%K Partitioning<br>自适应，人脸识别，识别率，分块
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=17DDCED190714E790428BB727D944C14&yid=9377ED8094509821&vid=16D8618C6164A3ED&iid=708DD6B15D2464E8&sid=10828928EB89AD8E&eid=80BD0A2EF8664214&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0