Pose Normalization for Local Appearance-Based Face Recognition

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 appearancebased 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.

• Type: Conference
• Year: 2009
• Where: ICB
• Authors: Hua Gao, Hazim Kemal Ekenel, Rainer Stiefelhagen
• Keywords: Biometrics, Face Recognition, Face Recognition Approach, ICB 2009, Pose Normalization Approach