Disparity filtering: proximity detection and segmentation

David Coombs; Ian Horswill; Peter von Kaenel

doi:10.1117/12.131528

1 November 1992 Disparity filtering: proximity detection and segmentation

David Coombs, Ian Horswill, Peter von Kaenel

Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131528
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

David Coombs, Ian Horswill, and Peter von Kaenel "Disparity filtering: proximity detection and segmentation", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131528

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