Abstract—Color information is very important cues for recognition task. In this paper, a novel color face recognition approach based on subspace is proposed. The approach employs hypercomplex to encode color information of different channels simultaneously. Hypercomplex matrix decomposition is then used to construct feature extraction approach. To improve learning efficiency of the algorithm, 3D active deformable model is exploited to generate virtual color face images. Experimental results on CMU PIE database verify the effectiveness of the proposed approach.

Index Terms—Hypercomplex, color face, face recognition

Chengzhang Wang is with the Applied Mathematic College, Central University of Finance and Economics, Beijing, China.
Xiaoming Bai is with the Information College, Capital University of Economics and Business, Beijing, China (e-mail: xmbaiczwang@163.com,xmbai@cueb.edu.cn).

Cite: Chengzhang Wang and Xiaoming Bai, "Chengzhang Wang and Xiaoming Bai," International Journal of Computer and Communication Engineering vol. 1, no. 1, pp.  1-3 , 2012.