Maximum scatter difference discriminant analysis in residual space and face recognition
基于差空间的最大散度差鉴别分析及人脸识别

A new method of discriminant feature extraction based on scatter difference criterion in residual space was developed in this paper. Firstly, the instability of face images due to some different illuminations was moderated by constructing the residual space for face images. Then, the maximum scatter difference criterion function was adopted to extract a set of optimal features. As a result, the small size sample problem suffered from the traditional Fisher linear discriminant analysis was utterly avoided. Finally, extensive experiments performed on both 0RL face database and Yale face database verify the effectiveness of the proposed method.