Pose Normalization for Local Appearance-Based Face Recognition

被引：0

作者：

Gao, Hua ^{[1
]}

Ekenel, Hazim Kemal ^{[1
]}

Stiefelhagen, Rainer ^{[1
]}

机构：

[1] Univ Karlsruhe TH, Dept Comp Sci, D-76131 Karlsruhe, Germany

来源：

ADVANCES IN BIOMETRICS | 2009年 / 5558卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：32 / 41

页数：10

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