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Dynamics of Face Categorization

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Biologically Motivated Computer Vision (BMCV 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2525))

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Abstract

A newclass of synthetic face stimuli has been recently introduced for studying visual face processing. Using the synthetic faces, the aspects of visual process for face categorization were investigated. In a good agreement with previous studies using an entirely different set of stimuli, it was found that there is a hysteresis in face categorization. This dynamic property of face processing could be readily explained by a simple modification of current neural model incorporating recurrent inhibitory interactions among neural units.

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Author information

Authors and Affiliations

  1. School of Humanities and Social Sciences, KAIST, 373-1 Kusong-dong, Yusong-gu, 305-701, Taejon, Korea

    Jeounghoon Kim

Authors
  1. Jeounghoon Kim
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Editor information

Editors and Affiliations

  1. Max Planck Institute for Biological Cybernetics, Spemannstraße 38, 72076, Tübingen, Germany

    Heinrich H. Bülthoff  & Christian Wallraven  & 

  2. Department of Computer Science and Engineering, Korea University, Anam-dong, Seongbuk-ku, 136-701, Seoul, Korea

    Seong-Whan Lee

  3. Department of Brain and Cognitive Sciences, Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 45 Carleton Street, 02142, Cambridge, MA, USA

    Tomaso A. Poggio

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© 2002 Springer-Verlag Berlin Heidelberg

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Kim, J. (2002). Dynamics of Face Categorization. In: Bülthoff, H.H., Wallraven, C., Lee, SW., Poggio, T.A. (eds) Biologically Motivated Computer Vision. BMCV 2002. Lecture Notes in Computer Science, vol 2525. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36181-2_51

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  • DOI: https://doi.org/10.1007/3-540-36181-2_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00174-4

  • Online ISBN: 978-3-540-36181-7

  • eBook Packages: Springer Book Archive

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