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Shape, Contour and Grouping in Computer Vision

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1681))

Abstract

Our understanding of object recognition can address the needs of only the most stylised applications. There is no prospect of the automated motorcars of Dickmanns et al. knowing what is in front of them anytime soon; searchers for pictures of the pope kissing a baby must search on a combination of text, guesswork and patience; current vision based HCI research relies on highly structured backgrounds; and we may safely guess that the intelligence community is unlikely to be able to dispense with image analysts anytime soon. This volume contains a series of contributions that attack important problems in recognition.

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Authors and Affiliations

  1. Computer Science Division, U.C. Berkeley, Berkeley, CA, 94720, USA

    David Forsyth & Joe Mundy

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  1. David Forsyth
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  2. Joe Mundy
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© 1999 Springer-Verlag Berlin Heidelberg

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Forsyth, D., Mundy, J. (1999). Introduction. In: Shape, Contour and Grouping in Computer Vision. Lecture Notes in Computer Science, vol 1681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46805-6_1

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  • DOI: https://doi.org/10.1007/3-540-46805-6_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66722-3

  • Online ISBN: 978-3-540-46805-9

  • eBook Packages: Springer Book Archive

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