Image synthesis and face recognition based on 3d face model and illumination model

Authors:
Dang-hui Liu;Lan-sun Shen;Kin-man Lam
Affiliations:
Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China;Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China;The Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, Hong Kong, China
Venue:
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Year:
2005

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Abstract

The performance of human face recognition algorithms is seriously affected by two important factors: head pose and lighting condition. The effective processing of the pose and illumination variations is a vital key for improving the recognition rate. This paper proposes a novel method that can synthesize images with different head poses and lighting conditions by using a modified 3D CANDIDE model, linear vertex interpolation and NURBS curve surface fitting method, as well as a mixed illumination model. A specific Eigenface method is also proposed to perform face recognition based on a pre-estimated head pose method. Experimental results show that the quality of the synthesized images and the recognition performance are good.