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Front-End Vision: A Multiscale Geometry Engine

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Book cover Biologically Motivated Computer Vision (BMCV 2000)

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

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Abstract

The paper is a short tutorial on the multiscale differential geometric possibilities of the front-end visual receptive fields, modeled by Gaussian derivative kernels. The paper is written in, and interactive through the use of Mathematica 4, so each statement can be run and modified by the reader on images of choice. The notion of multiscale invariant feature detection is presented in detail, with examples of second, third and fourth order of differentiation.

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Author information

Authors and Affiliations

  1. Image Sciences Institute, Utrecht University, PO Box 85500, 3508 TA, Utrecht, the Netherlands

    Bart M. ter Haar Romeny

  2. Department of Mathematics, Utrecht University, PO Box 80010, 3508 TA, Utrecht, the Netherlands

    Luc M. J. Florack

Authors
  1. Bart M. ter Haar Romeny
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  2. Luc M. J. 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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ter Haar Romeny, B.M., Florack, L.M.J. (2000). Front-End Vision: A Multiscale Geometry Engine. 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_29

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  • DOI: https://doi.org/10.1007/3-540-45482-9_29

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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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