Tensor based robust color face recognition

In this paper we address the robust face recognition problem for color faces with large variations in pose, illumination and facial expression. A novel algorithm is proposed, namely the Multilinear Color Tensor Discriminant (MCTD) model. This approach utilizes tensor representation to preserve image structure, as well as enhance discriminate capability via color space transformation. On the other hand, it uses the multilinear analysis technique to handle variations in pose, illumination and expressions and improve the performance via minimizing the least square of reconstruction error in the tensor framework. Extensive experiments conducted on the CMU-PIE and CurtinFaces databases demonstrate the effectiveness of the proposed approach.