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AdaBoost Gabor Fisher Classifier for Face Recognition

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Analysis and Modelling of Faces and Gestures (AMFG 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3723))

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Abstract

This paper proposes the AdaBoost Gabor Fisher Classifier (AGFC) for robust face recognition, in which a chain AdaBoost learning method based on Bootstrap re-sampling is proposed and applied to face recognition with impressive recognition performance. Gabor features have been recognized as one of the most successful face representations, but it is too high dimensional for fast extraction and accurate classification. In AGFC, AdaBoost is exploited to select optimally the most informative Gabor features (hereinafter as AdaGabor features). The selected low-dimensional AdaGabor features are then classified by Fisher discriminant analysis for final face identification. Our experiments on two large-scale face databases, FERET and CAS-PEAL (with 5789 images of 1040 subjects), have shown that the proposed method can effectively reduce the dimensionality of Gabor features and greatly increase the recognition accuracy. In addition, our experimental results show its robustness to variations in facial expression and accessories.

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Author information

Authors and Affiliations

  1. ICT-ISVISION JDL for Face Recognition, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100080, China

    Shiguang Shan, Xilin Chen & Wen Gao

  2. Department of Computer Sciences at Rutgers, The State University of New Jersey, USA

    Peng Yang

  3. School of Computer Science and Technology, Harbin Institute of Technology, 150001, Harbin, China

    Wen Gao

Authors
  1. Shiguang Shan
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  2. Peng Yang
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  3. Xilin Chen
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  4. Wen Gao
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Editor information

Editors and Affiliations

  1. Intuitive Surgical Inc, 950 Kifer Road, 94086, Sunnyvale, CA, USA

    Wenyi Zhao

  2. Shaogang Gong, Department of Computer Science, Queen Mary, University of London, E1 4NS, London, UK

    Shaogang Gong

  3. Microsoft Research Asia, P.O. Box, Beijing, P.R. China

    Xiaoou Tang

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© 2005 Springer-Verlag Berlin Heidelberg

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Shan, S., Yang, P., Chen, X., Gao, W. (2005). AdaBoost Gabor Fisher Classifier for Face Recognition. In: Zhao, W., Gong, S., Tang, X. (eds) Analysis and Modelling of Faces and Gestures. AMFG 2005. Lecture Notes in Computer Science, vol 3723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11564386_22

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  • DOI: https://doi.org/10.1007/11564386_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29229-6

  • Online ISBN: 978-3-540-32074-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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