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Proceedings Paper

Disparity filtering: proximity detection and segmentation
Author(s): David Coombs; Ian Horswill; Peter von Kaenel
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Paper Abstract

Simple stereo disparity filters can provide `proximity detectors' shaped like concave shells in front of the observer. Ideally, these are isodisparity surfaces. In practice, a narrowly tuned filter results in a thin shell. The special case of the zero-disparity surface is called the horopter. A disparity filter can also be useful for distinguishing an object that lies on an isodisparity surface from its surroundings. These filters are much less expensive than stereographic scene interpretation since they are local operations. Similarly, they are also less general. We analyze the expected proximity sensitivity of one simple version of the disparity filter and compare this to its empirical performance. We also present some feature based and correlation based disparity filters and compare their `segmentation' performance on various scenes.

Paper Details

Date Published: 1 November 1992
PDF: 12 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131528
Show Author Affiliations
David Coombs, National Institute of Standards and Technology (United States)
Ian Horswill, AI Lab./MIT (United States)
Peter von Kaenel, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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