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International Workshop on Biologically Motivated Computer Vision

BMCV 2000: Biologically Motivated Computer Vision pp 574–583Cite as

A Geometric Model for Cortical Magnification

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1811))

Abstract

A Riemannian manifold endowed with a conformal metric is proposed as a geometric model for the cortical magnification that characterises foveal systems. The eccentricity scaling of receptive fields, the relative size of the foveola, as well as the fraction of receptive fields involved in foveal vision can all be deduced from it.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Utrecht University, PO Box 80010, NL-3508 TA, Utrecht, The Netherlands

    Luc Florack

Authors
  1. Luc Florack
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Editor information

Editors and Affiliations

  1. Center for Artificial Vision Research, Korea University, Anam-dong, Seongbuk-ku, Seoul, 136-701, Korea

    Seong-Whan Lee

  2. Max-Planck-Institute for Biological Cybernetics, Spemannstr. 38, 72076, Tübingen, Germany

    Heinrich H. Bülthoff

  3. Department of Brain and Cognitive Sciences Artificial Intelligence Laboratory, E25-218, Massachusetts Institute of Technology, 45 Carleton Street, Cambridge, MA, 02142, USA

    Tomaso Poggio

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© 2000 Springer-Verlag Berlin Heidelberg

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Florack, L. (2000). A Geometric Model for Cortical Magnification. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_58

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  • DOI: https://doi.org/10.1007/3-540-45482-9_58

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67560-0

  • Online ISBN: 978-3-540-45482-3

  • eBook Packages: Springer Book Archive

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