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Tensor Based Robust Color Face Recognition

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2012
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Conference Paper

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Li, B. and Liu, W. and An, S. and Krishna, A. 2012. Tensor Based Robust Color Face Recognition, in Proceedings of the 21st International Conference on Pattern Recognition (ICPR), Nov 11-15 2012, pp. 1719-1722. Tsukuba, Japan: Institute of Electrical and Electronics Engineers (IEEE).
Source Title
Proceedings of the 21st International Conference on Pattern Recognition (ICPR 2012)
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International Conference on Pattern Recognition 2012 (ICPR 2012)
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Department of Computing
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Abstract

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.