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Representation and Control in Vision

  • Conference paper
Pictorial Data Analysis

Part of the book series: NATO ASI Series ((NATO ASI F,volume 4))

Abstract

One of the central issues in vision is how to represent and use knowledge relevant to understanding the image. Partly because vision is so difficult, and partly because even the cheapest solutions can still be so useful, approaches to vision problems have had a tendency to be ad hoc and heuristic. Recently, however, new thrusts in computer vision are emerging, most notably in the Image Understanding community, that try to pursue more systematic and computational approaches. [1]

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Author information

Authors and Affiliations

  1. Department of Computer Science, Carnegie-Mellon University, Pittsburgh, Pa., 15213, USA

    Takeo Kanade

Authors
  1. Takeo Kanade
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Editor information

Editors and Affiliations

  1. Electrical Engineering and Computer Science Departments, Virginia Polytechnic Institute and State University Spatial Data Analysis Lab., Blacksburg, VA, 24061, USA

    Robert M. Haralick

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© 1983 Springer-Verlag Berlin Heidelberg

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Kanade, T. (1983). Representation and Control in Vision. In: Haralick, R.M. (eds) Pictorial Data Analysis. NATO ASI Series, vol 4. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82017-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-82017-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82019-9

  • Online ISBN: 978-3-642-82017-5

  • eBook Packages: Springer Book Archive

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