%0 Journal Article
%T Face recognition combining the null space approach and the fractional LDA<br>结合零空间法和F-LDA的人脸识别算法
%A WANG Zeng-feng
%A WANG Hui-yuan
%A LENG Yan
%A <br>王增锋
%A 王汇源
%A 冷严
%J 计算机应用
%D 2005
%I 
%X Linear discriminant analysis is one of the most popular linear projection techniques for feature extraction.The traditional LDA-based methods suffer from two main disadvantages: 1) the small sample size(SSS) problem;2) their optimization criteria are not directly related to the classification accuracy.A new LDA-based technique was proposed,which could overcome the above shortcomings.First, by redefining the within class scatter matrix and the between class scatter matrix,a new null space method was presented.Then,combined the new null space method with F-LDA(fractional LDA) algorithm,a completely new feature extraction algorithm for face recognition was given.The experimental results show that the new LDA-based feature extraction algorithm improves the performance of face recognition significantly.
%K linear discriminant analysis(LDA)
%K null space method
%K fractional LDA(F-LDA)<br>线性判别分析
%K 零空间法
%K F—LDA（fractional—LDA）
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=E6B1CCE82B8C90FF&yid=2DD7160C83D0ACED&vid=C5154311167311FE&iid=708DD6B15D2464E8&sid=A468CCBF2C61F724&eid=0BCBB4EF89165778&journal_id=1001-9081&journal_name=计算机应用&referenced_num=1&reference_num=9