• DocumentCode
    2205836
  • Title

    Detecting binocular half-occlusions: empirical comparisons of four approaches

  • Author

    Egnal, Geoffrey ; Wildes, Richard P.

  • Author_Institution
    GRASP Lab., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    2
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    466
  • Abstract
    Binocular 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 four 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
  • Keywords
    computational geometry; computer vision; binocular half-occlusions detection; binocular imaging system; binocular matching; half-occluded points; Computer vision; Electrical capacitance tomography; Geometry; Humans; Image generation; Image segmentation; Laboratories; Layout; Optical imaging; Stereo vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
  • Conference_Location
    Hilton Head Island, SC
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0662-3
  • Type

    conf

  • DOI
    10.1109/CVPR.2000.854883
  • Filename
    854883