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View-Based Recognition of Faces in Man and Machine: Re-visiting Inter-extra-Ortho

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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

For humans, faces are highly overlearned stimuli, which are encountered in everyday life in all kinds of poses and views. Using psychophysics we investigated the effects of viewpoint on human face recognition. The experimental paradigm is modeled after the inter-extra-ortho experiment using unfamiliar objects by Bülthoff and Edelman [5]. Our results show a strong viewpoint effect for face recognition, which replicates the earlier findings and provides important insights into the biological plausibility of view-based recognition approaches (alignment of a 3D model, linear combination of 2D views and view-interpolation). We then compared human recognition performance to a novel computational view-based approach [29] and discuss improvements of view-based algorithms using local part-based information.

Christian Wallraven and Adrian Schwaninger were supported by a grant from the European Community (CogVis).

However, it is interesting that Biederman and Kalocsai [3] point out that face recognition — as opposed to object recognition — cannot be understood by RBC theory mainly because recognizing faces entails processing holistic surface based information.

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Author information

Authors and Affiliations

  1. Max Planck Institute for Biological Cybernetics, Tübingen, Germany

    Christian Wallraven, Adrian Schwaninger & Heinrich H. Bülthoff

  2. Department of Psychology, University of Zürich, Switzerland

    Adrian Schwaninger & Sandra Schuhmacher

Authors
  1. Christian Wallraven
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  2. Adrian Schwaninger
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  3. Sandra Schuhmacher
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  4. Heinrich H. Bülthoff
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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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Wallraven, C., Schwaninger, A., Schuhmacher, S., Bülthoff, H.H. (2002). View-Based Recognition of Faces in Man and Machine: Re-visiting Inter-extra-Ortho. 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_65

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  • DOI: https://doi.org/10.1007/3-540-36181-2_65

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00174-4

  • Online ISBN: 978-3-540-36181-7

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