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Dense depth maps by active color illumination and image pyramids

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Advances in Computer Vision

Part of the book series: Advances in Computing Science ((ACS))

Abstract

Only few problems in computer vision have been investigated more vigorously than stereo vision. The key problem in stereo is how to find the corresponding points in the left and in the right image, referred to as the correspondence problem. Whenever the corresponding points are determined, the depth can be computed by triangulation. Although, more than 300 papers have been published dealing with stereo vision this technique still suffers from a lack in accuracy and/or long computation time needed to match stereo images. Therefore, there is still a need for more precise and faster algorithms.

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Authors
  1. Andreas Koschan
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  2. Volker Rodehorst
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Editor information

Editors and Affiliations

  1. Faculty of Computer and Information Science, University of Ljubljana, Ljubljana, Slovenia

    Franc Solina

  2. Abt. Mustererkennung und Bildverarbeitung, TU Wien, Vienna, Austria

    Walter G. Kropatsch

  3. Computer Science Department, Auckland University, Auckland, New Zealand

    Reinhard Klette

  4. Computer and Information Science, GRASP Laboratory, University of Pennsylvania, Philadelphia, USA

    Ruzena Bajcsy

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© 1997 Springer-Verlag/Wien

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Koschan, A., Rodehorst, V. (1997). Dense depth maps by active color illumination and image pyramids. In: Solina, F., Kropatsch, W.G., Klette, R., Bajcsy, R. (eds) Advances in Computer Vision. Advances in Computing Science. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6867-7_15

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  • DOI: https://doi.org/10.1007/978-3-7091-6867-7_15

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83022-2

  • Online ISBN: 978-3-7091-6867-7

  • eBook Packages: Springer Book Archive

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