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Fast stereovision by coherence detection

  • Stereo and Correspondence
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Computer Analysis of Images and Patterns (CAIP 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1296))

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Abstract

A new approach to stereo vision based on similarities between optical flow estimation and disparity computation is introduced. The fully parallel algorithm utilizes fast filter operations and aliasing effects of simple disparity detectors within a coherence detection scheme. It is able to calculate dense disparity maps, verification counts and the cyclopean view of a scene within a single computational structure.

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Author information

Authors and Affiliations

  1. Institute for Theoretical Neurophysics, University of Bremen, Bremen

    R. D. Henkel

Authors
  1. R. D. Henkel
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Editor information

Gerald Sommer Kostas Daniilidis Josef Pauli

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© 1997 Springer-Verlag Berlin Heidelberg

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Henkel, R.D. (1997). Fast stereovision by coherence detection. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_130

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  • DOI: https://doi.org/10.1007/3-540-63460-6_130

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63460-7

  • Online ISBN: 978-3-540-69556-1

  • eBook Packages: Springer Book Archive

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