%0 Journal Article
%T Improved Face Recognition Method Based on NMF<br>一种改进的基于NMF的人脸识别方法
%A LIN Qing
%A LI Jia
%A YONG Jian-ping
%A LIAO Ding-an
%A <br>林庆
%A 李佳
%A 雍建平
%A 廖定安
%J 计算机科学
%D 2012
%I 
%X Non-negative matrix factorization ( NMF ) is a method of parts based feature extraction, according to this characteristic. An improved algorithm dealing with NMF basis was introduced to enhance partial occlusion face recogni- lion rate. Firstly, discrete wavelet transformation was used to produce a representation in the low frectuency domain, and basic matrix was got according to the NMF method. Secondly,parts of face features which possess outstanding perfor- mance were extracted by threshold value judgments,and they were used to form optimized facial subspace feature. The training and testing images were projected to the optimized subspace feature. Finally support vector machine was used for classification. Experiments show that the improved algorithm's computing time is short, and this method achieves remarkable effects under the partially occluded circumstance.
%K NMF
%K DWT
%K Face recognition
%K Basic matrix<br>非负矩阵分解
%K 离散小波变换
%K 人脸识别
%K 基矩阵
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=4207430C62DE8EBE68536B745F85E2CB&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=94C357A881DFC066&sid=B78CD622C1934236&eid=E2E0FBFE4D7EFB94&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0