Appearance-based face recognition approaches explore color cues of face images, i.e. grey or color information for
recognition task. They first encode color face images, and then extract facial features for classification. Similar to
conventional singular value decomposition, hypercomplex matrix also exists singular value decomposition on
hypercomplex field. In this paper, a novel color face recognition approach based on hypercomplex singular value
decomposition is proposed. The approach employs hypercomplex to encode color face information of different channels
simultaneously. Hypercomplex singular value decomposition is utilized then to compute the basis vectors of the color
face subspace. To improve learning efficiency of the algorithm, 3D active deformable model is exploited to generate
virtual face images. Color face samples are projected onto the subspace and projection coefficients are utilized as facial
features. Experimental results on CMU PIE face database verify the effectiveness of the proposed approach.
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