Image synthesis for sparse representation-based multi-pose face recognition

In this paper we consider the problem of the pose variance in face recognition. In practice, the face images we get usually have different poses; however the number of training sample is limited, so the sparse representation based classification (SRC) for face recognition cannot work well. For the purpose of expending the sample size, a 3D face modal based image synthesis method is adopted. Extensive experiments on the CMU-PIE face and Feret face database are conducted to verify the efficiency of the proposed image synthesis based SRC (IS-SRC) method for multi-pose face recognition. ©, 2015, Binary Information Press. All right reserved.