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应用科学学报 ›› 2005, Vol. 23 ›› Issue (4): 345-349.

• 论文 • 上一篇    下一篇

基于奇异值分解的分类器及在人脸识别中的应用

贺云辉, 赵力, 邹采荣   

  1. 东南大学无线电工程系, 江苏南京 210096
  • 收稿日期:2004-03-27 修回日期:2004-08-24 出版日期:2005-07-31 发布日期:2005-07-31
  • 作者简介:贺云辉(1975-),男,河北武安人,博士生,E-mail:heyunhui@seu.edu.cn;赵力(1958-),男,江苏南京人,教授,博导,E-mail:zhaoli@seu.edu.cn;邹采荣(1963-),男,江苏昆山人,教授,博导,E-mail:cairong@seu.edu.cn
  • 基金资助:
    教育部科学技术重点资助项目(03082)

A Classifier Based on Singular Value Decomposition and Its Application to Face Recognition

HE Yun-hui, ZHAO Li, ZOU Cai-rong   

  1. Department of Radio Engineering, Southeast University, Nanjing 210096, China
  • Received:2004-03-27 Revised:2004-08-24 Online:2005-07-31 Published:2005-07-31

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摘要： 提出了利用一个人脸样本的奇异值分解构造其所在类别分类器的方法,解决了人脸识别中训练样本少的问题,并给出了利用错归样本更新分类器的方法.实验表明每类仅有一个训练样本就可以得到满意的识别率,并且仅利用一个错归样本更新分类器还可以使识别率进一步提高.

关键词: 人脸识别, 分类器, 奇异值分解, 特征子空间

Abstract: A new kind of classifier based on singular value decomposition of face images which solves the small sample size problem in face recognition tasks is presented in this paper.The method of renewing classifier using the incorrectly classified face image to improve the performance of classifiers is also given.Experimental results show that high recognition rate can be obtained by using only one sample per person and that the renewal of classifiers using only one incorrectly classified sample can further improve the performance of classifiers.

Key words: singular value decomposition, classifier, feature subspace, face recognition

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