An illumination invariant face recognition approach using exemplar-based synthesis technique

Authors:
Tele Tan;Thorsten Kühnapfel;Amelyn Wongso;Fee-Lee Lim
Affiliations:
Department of Computing, Curtin University of Technology, Perth, Western Australia;Department of Computing, Curtin University of Technology, Perth, Western Australia;Department of Computing, Curtin University of Technology, Perth, Western Australia;Department of Computing, Curtin University of Technology, Perth, Western Australia
Venue:
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Year:
2005

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Abstract

This paper proposes a new method to solve the problem of face recognition under varying illumination conditions. We introduce an exemplar-based technique to decouple and subsequently recover the canonical face and the illumination functions from the intensity images. The canonical image is equivalent to the reflectance field of the face that is invariant to illumination. We subsequently use the canonical face to synthesize novel face appearances together with a set of lighting models. We then demonstrate the ability of the synthesis approach to improve the performance of the face recognition task.