Title :
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
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;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.532
