%0 Journal Article
%T Gabor Representation Based Probabilistic Subspace Analysis for Face Recognition<br>一种基于Gabor描述的概率子空间人脸识别方法
%A Long Fei
%A Dong Huai-lin
%A Wang Bei-zhan
%A Shi Liang
%A <br>龙飞
%A 董槐林
%A 王备战
%A 史亮
%J 电子与信息学报
%D 2007
%I 
%X In this paper, a GPSA face recognition approach by probabilistic subspace analysis in Gabor wavelet domain is presented. First, an improved Gabor representation scheme for face images is given, then a Gabor based probabilistic subspace model is built, so recognition is performed in a manner of probabilistic matching. The discriminatory information yielded from both probabUistic subspace analysis and Gabor representation is exploited altogether in GPSA method, and hence the robustness of face recognition system is enhanced effectively. The experimental results on a mixture face database including 190 individuals show that the proposed GPSA method outperforms the existing PSA method.
%K Face recognition
%K Gabor representation
%K Probabilistic subspace analysis (PSA)<br>人脸识别
%K Gabor描述
%K 概率子空间分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=957CD8C8979AF3C6&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=38B194292C032A66&sid=C824C8F9F54AE9B9&eid=039DCCB9394D9766&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11