3D face recognition based on facial shape indexes with dynamic programming

Authors:
Hwanjong Song;Ukil Yang;Sangyoun Lee;Kwanghoon Sohn
Affiliations:
Biometrics Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, Seoul, Korea;Biometrics Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, Seoul, Korea;Biometrics Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, Seoul, Korea;Biometrics Engineering Research Center, Dept. of Electrical & Electronic Eng., Yonsei University, Seoul, Korea
Venue:
ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Year:
2006

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Abstract

This paper describes a 3D face recognition method using facial shape indexes. Given an unknown range image, we extract invariant facial features based on the facial geometry. We estimate the 3D head pose using the proposed error compensated SVD method. For face recognition method, we define and extract facial shape indexes based on facial curvature characteristics and perform dynamic programming. Experimental results show that the proposed method is capable of determining the angle of faces accurately over a wide range of poses. In addition, 96.8% face recognition rate has been achieved based on the proposed method with 300 individuals with seven different poses.