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Pose normalization for local appearance-based recognition face

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2009) 5558 LNCS 32-41
DOI: 10.1007/978-3-642-01793-3_4
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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. © Springer-Verlag Berlin Heidelberg 2009.

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Gao, H., Ekenel, H. K., & Stiefelhagen, R. (2009). Pose normalization for local appearance-based recognition face. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5558 LNCS, pp. 32–41). https://doi.org/10.1007/978-3-642-01793-3_4

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