• DocumentCode
    798635
  • Title

    Detecting binocular half-occlusions: empirical comparisons of five approaches

  • Author

    Egnal, Geoffrey ; Wildes, Richard P.

  • Author_Institution
    GRASP Lab., Pennsylvania Univ., Philadelphia, PA, USA
  • Volume
    24
  • Issue
    8
  • fYear
    2002
  • fDate
    8/1/2002 12:00:00 AM
  • Firstpage
    1127
  • Lastpage
    1133
  • 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 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.
  • Keywords
    stereo image processing; 3D vision; binocular half-occlusion detection; disparity image; match goodness image; stereo matching; Computer vision; Geometry; Histograms; Humans; Image generation; Layout; Object segmentation; Optical imaging; Stereo vision; Visual system;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/TPAMI.2002.1023808
  • Filename
    1023808