Face Recognition with Relative Difference Space and SVM

Author

He, Xiaoguang ; Tian, Jie ; He, Yuliang ; Yang, Xin

Author_Institution

Center for Biometrics & Security Res., Chinese Acad. of Sci., Beijing

Volume

3

fYear

0

fDate

0-0 0

Firstpage

527

Lastpage

531

Abstract

In this paper, a new method based on relative difference space (RDS) and support vector machine (SVM) is proposed for multi-class recognition. First the RDS transformation converts the multi-class problem to a binary-class problem, and then SVM is used for the binary classification directly. Compared with the traditional method of difference space (DS), RDS is reversible and it overcomes the ill-transformation problem. This method is applied to face recognition in Yale Face database B, and the recognition result demonstrates its robust performance under different illumination conditions

Keywords

face recognition; image classification; support vector machines; Yale Face database B; binary classification; binary-class problem; face recognition; multiclass recognition; relative difference space; support vector machine; Biometrics; Databases; Face recognition; Helium; Laboratories; Lighting; National security; Robustness; Support vector machine classification; Support vector machines;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2006. ICPR 2006. 18th International Conference on

Conference_Location

Hong Kong

ISSN

1051-4651

Print_ISBN

0-7695-2521-0

Type

conf

DOI

10.1109/ICPR.2006.532

Filename

1699580