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Combining Facial Appearance and Dynamics for Face Recognition

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Computer Analysis of Images and Patterns (CAIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5702))

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Abstract

In this paper, we present a novel hybrid feature for face recognition. This hybrid feature is created by combining the traditional holistic facial appearance feature with a recently proposed facial dynamics feature. We measure and compare the inherent discriminating power of this hybrid feature and the holistic facial appearance feature by the statistical separability between genuine feature distance and impostor feature distance. Our measurement indicates that the hybrid feature is more discriminative than the appearance feature.

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Author information

Authors and Affiliations

  1. School of Computing, National University of Singapore, COM1, 13 Computing Drive, Singapore, 117417

    Ning Ye & Terence Sim

Authors
  1. Ning Ye
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  2. Terence Sim
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, 48149, Münster, Germany

    Xiaoyi Jiang

  2. Institute of Mathematics and Computing Science, University of Groningen, Nijenborgh 9, 9747, Groningen, AG, The Netherlands

    Nicolai Petkov

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© 2009 Springer-Verlag Berlin Heidelberg

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Ye, N., Sim, T. (2009). Combining Facial Appearance and Dynamics for Face Recognition. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_16

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  • DOI: https://doi.org/10.1007/978-3-642-03767-2_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03766-5

  • Online ISBN: 978-3-642-03767-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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