Face Recognition with Relative Difference Space and SVM
Xiaoguang He, Jie Tian, Yuliang He, Xin Yang · 2006
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 illtransformation 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.