Pose Normalization Using Generic 3D Face Model as a Priori for Pose-Insensitive Face Recognition

  • Xiujuan Chai
  • Shiguang Shan
  • Wen Gao
  • Xin Liu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3338)

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.

Keywords

Feature Point Face Recognition Face Image Affine Transformation Frontal Face 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Xiujuan Chai
    • 1
  • Shiguang Shan
    • 2
  • Wen Gao
    • 1
    • 2
  • Xin Liu
    • 1
  1. 1.School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinP.R. China
  2. 2.ICT-ISVISION Joint R&D Laboratory for Face RecognitionCASBeijingP.R. China

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