Face verification using color sparse representation

Authors:
Wook Jin Shin;Seung Ho Lee;Hyun-Seok Min;Hosik Sohn;Yong Man Ro
Affiliations:
Image and Video Systems Lab., Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Image and Video Systems Lab., Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Image and Video Systems Lab., Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Image and Video Systems Lab., Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea;Image and Video Systems Lab., Korea Advance Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
Venue:
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Year:
2012

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Abstract

This paper proposes an effective method for face verification using color sparse representation. In the proposed method, sparse representations are separately applied to multiple color bands of face images. The complementary residuals obtained from the multiple color face images are merged by means of score-level fusion, yielding improved discrimination capability for face verification. Experimental results using two public face databases (CMU Multi-PIE and Color FERET) showed that the proposed face verification method is highly robust under challenging conditions, compared to the conventional methods using grayscale sparse representation.