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Conceiving computationally intensive approaches to vision

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Book cover High-Performance Computing and Networking (HPCN-Europe 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 796))

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Abstract

I present some of the research activities of my group in Vision as a Grand Challenge problem whose solution is estimated to need the power of Tflop/s computers. Visual information representations which are motivated by the function of the primary visual cortex are computed. In the case of simple objects such as convex polygons, these representations allow straightforward interpretation for object recognition. Lower dimension representations which are used to simplify the problem of comparing input to prestored information have limitations. Optical flow methods applied to complete representations are studied as a possible solution to this problem. The automatic identification of persons by a face image is used as a touchstone for the proposed methods.

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Authors and Affiliations

  1. Department of Computing Science, University of Groningen, P.O.Box 800, 9700, AV Groningen, The Netherlands

    N. Petkov

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  1. N. Petkov
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Wolfgang Gentzsch Uwe Harms

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© 1994 Springer-Verlag Berlin Heidelberg

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Petkov, N. (1994). Conceiving computationally intensive approaches to vision. In: Gentzsch, W., Harms, U. (eds) High-Performance Computing and Networking. HPCN-Europe 1994. Lecture Notes in Computer Science, vol 796. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020403

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  • DOI: https://doi.org/10.1007/BFb0020403

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57980-9

  • Online ISBN: 978-3-540-48406-6

  • eBook Packages: Springer Book Archive

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