Pose normalization using generic 3d face model as a priori for pose-insensitive face recognition

Authors:
Xiujuan Chai;Shiguang Shan;Wen Gao;Xin Liu
Affiliations:
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R China;ICT-ISVISION Joint R&D Laboratory for Face Recognition, CAS, Beijing, P.R China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R China;School of Computer Science and Technology, Harbin Institute of Technology, Harbin, P.R China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

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Abstract

Abrupt performance degradation caused by face pose variations has been one of the bottlenecks for practical face recognition applications This paper presents a practical pose normalization technique by using a generic 3D face model as a priori The 3D face model greatly facilitates the setup of the correspondence between non-frontal and frontal face images, which can be exploited as a priori to transform a non-frontal face image, with known pose but very sparse correspondence with the generic face model, into a frontal one by warping techniques Our experiments have shown that the proposed method can greatly improve the recognition performance of the current face recognition methods without pose normalization.