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Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches

Geoffrey Egnal, Richard P. Wildes
CVPR 2000 pp. 2466-2473
doi:10.1109/CVPR.2000.854883 /cvpr/2000/egnal2000cvpr-detecting/

Abstract

AbstractÐBinocular half-occlusion points are those that are visible in one of the two views provided by a binocular imaging system. Due to their importance in binocular matching as well as, subsequent interpretation tasks, a number of approaches have been developed for dealing with such points. In the current paper, we consider five methods that explicitly detect half-occlusions and report on a more uniform comparison than has previously been performed. Taking a disparity image and its associated match goodness image as input, we generate images that show the half-occluded points in the underlying scene. We quantitatively and qualitatively compare these methods under a variety of conditions. Index TermsÐStereo matching, binocular half-occlusions, three-dimensional vision, empirical comparisons. æ 1

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Text

Egnal and Wildes. "Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854883

Markdown

[Egnal and Wildes. "Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/egnal2000cvpr-detecting/) doi:10.1109/CVPR.2000.854883

BibTeX

@inproceedings{egnal2000cvpr-detecting,
  title     = {{Detecting Binocular Half-Occlusions: Empirical Comparisons of Four Approaches}},
  author    = {Egnal, Geoffrey and Wildes, Richard P.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2000},
  pages     = {2466-2473},
  doi       = {10.1109/CVPR.2000.854883},
  url       = {https://mlanthology.org/cvpr/2000/egnal2000cvpr-detecting/}
}