%0 Journal Article
%T Some Researches for Face Recognition with One Training Image per Person<br>对单训练样本的人脸识别问题的研究
%A ZHANG Sheng-Liang
%A CHEN Fu-Bing
%A YANG Jing-Yu
%A <br>张生亮
%A 陈伏兵
%A 杨静宇
%J 计算机科学
%D 2006
%I 
%X Nowadays many algorithms for face recognition are under the postulate that each person has many training images.There are few study with the one training sample per person.While each person may only provide one regis- tered photo in most cases.We solve this problem by add virtual images generating from the given training image,and study the differences of the recognition rates between PCA,Fisherface,(PC)~2 A and Two Dimension PCA(2DPCA).In this paper,a new 2DPCA which is based on the Maximum Margin Criterion is proposed.The average recognition rate on ORL face-databases achieves 75.28% only using one training image per person.
%K Fisherface<br>主分量分析(PCA)
%K 二维主分量分析(2DPCA)
%K 虚拟样本
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=40AC5F0FAED15407&yid=37904DC365DD7266&vid=27746BCEEE58E9DC&iid=0B39A22176CE99FB&sid=4966445AEEBA9556&eid=F8035C8B7D8A4264&journal_id=1002-137X&journal_name=计算机科学&referenced_num=7&reference_num=10