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.
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