Pose Normalization for Local Appearance-Based Face Recognition

  • Authors:
  • Hua Gao;Hazım Kemal Ekenel;Rainer Stiefelhagen

  • Affiliations:
  • Computer Science Department, Universität Karlsruhe (TH), Karlsruhe, Germany 76131;Computer Science Department, Universität Karlsruhe (TH), Karlsruhe, Germany 76131;Computer Science Department, Universität Karlsruhe (TH), Karlsruhe, Germany 76131

  • Venue:
  • ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
  • Year:
  • 2009

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Abstract

We focused this work on handling variation in facial appearance caused by 3D head pose. A pose normalization approach based on fitting active appearance models (AAM) on a given face image was investigated. Profile faces with different rotation angles in depth were warped into shape-free frontal view faces. Face recognition experiments were carried out on the pose normalized facial images with a local appearance-based approach. The experimental results showed a significant improvement in accuracy. The local appearance-based face recognition approach is found to be robust against errors introduced by face model fitting.