View Item 

Tensor Based Robust Color Face Recognition

Access Status
Fulltext not available
Authors
Li, Billy
Liu, Wan-Quan
An, Senjian
Krishna, Aneesh
Date
2012
Type
Conference Paper

Metadata
Show full item record
Citation
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)
Source Conference
International Conference on Pattern Recognition 2012 (ICPR 2012)
Additional URLs
School
Department of Computing
URI
Collection
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.