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A Survey of 3D Face Recognition Methods

  • Conference paper
Audio- and Video-Based Biometric Person Authentication (AVBPA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3546))

Abstract

Many researches in face recognition have been dealing with the challenge of the great variability in head pose, lighting intensity and direction,facial expression, and aging. The main purpose of this overview is to describe the recent 3D face recognition algorithms. The last few years more and more 2D face recognition algorithms are improved and tested on less than perfect images. However, 3D models hold more information of the face, like surface information, that can be used for face recognition or subject discrimination. Another major advantage is that 3D face recognition is pose invariant. A disadvantage of most presented 3D face recognition methods is that they still treat the human face as a rigid object. This means that the methods aren’t capable of handling facial expressions. Although 2D face recognition still seems to outperform the 3D face recognition methods, it is expected that this will change in the near future.

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Author information

Authors and Affiliations

  1. Institute of Information and Computing Sciences, Utrecht University, Padualaan 14, 3584 CH, Utrecht, The Netherlands

    Alize Scheenstra & Remco C. Veltkamp

  2. Netherlands Forensic Institute, Laan van Ypenburg 6, 2497 GB, Den Haag, The Netherlands

    Arnout Ruifrok

Authors
  1. Alize Scheenstra
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  2. Arnout Ruifrok
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  3. Remco C. Veltkamp
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Editor information

Editors and Affiliations

  1. The Robotics Institute, Carnegie Mellon University., Pittsburgh, 15213-3890, Pennsylvania, USA

    Takeo Kanade

  2. Withington Hospital, Nightingale Centre, Manchester, UK

    Anil Jain

  3. IBM Thomas J. Watson Research Center, 19 Skyline Drive, NY 10598, Hawthorne, USA

    Nalini K. Ratha

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© 2005 Springer-Verlag Berlin Heidelberg

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Scheenstra, A., Ruifrok, A., Veltkamp, R.C. (2005). A Survey of 3D Face Recognition Methods. In: Kanade, T., Jain, A., Ratha, N.K. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2005. Lecture Notes in Computer Science, vol 3546. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527923_93

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  • DOI: https://doi.org/10.1007/11527923_93

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27887-0

  • Online ISBN: 978-3-540-31638-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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