Optimized sparse presentation-based classification method with weighted block and maximum likelihood model
Jun Yi Derek He, Tian Zuo, Bo Sun, Xuewen Wu, Chao Chen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2014
This paper is aiming at applying sparse representation based classification (SRC) on face recognition with disguise or illumination variation. Having analyzed the characteristics of general object recognition and the principle of the classifier of SRC method, authors focus on evaluating blocks of a probe sample and propose an optimized SRC method based on position-preserving weighted block and maximum likelihood model. Principle and implementation of the proposed method have been introduced in the article, and experiments on Yale and AR face database have been given too. From experimental results, it can be seen that the proposed optimized SRC method works well than existing methods.