Face recognition algorithm of robust collaborative representation
Lin Guo-ju · Jisuanji yingyong yanjiu · 2014
For the problem of the high computational complexity of the robust sparse coding( RSC),this paper used the advantage of the collaborative representation suitable for face recognition,and proposed a face recognition algorithm of robust collaborative representation( RCR). Firstly,it assumed that the coding residual and the coding coefficient were respectively independent and identically distributed. RCR sought for the maximum likelihood estimation solution of the sparse coding problem. Then,it used the iteratively reweighted collaborative representation algorithm to solve RCR model. Finally,it classified and recognized the testing image. Experimental results show that RCR compared with other algorithms greatly reduces the computational complexity and ensures the recognition rates. RCR is an effective algorithm of face recognition and shows strong robustness to face recognition with occlusion.