• DocumentCode
    2299301
  • Title

    Fragment grouping via the principle of perceptual occlusion

  • Author

    August, Jonas ; Siddiqi, Kaleem ; Zucker, Steven W.

  • Author_Institution
    Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
  • Volume
    1
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    3
  • Abstract
    Bounding contours of physical objects are often fragmented by other occluding objects. Long-distance perceptual grouping seeks to join fragments belonging to the same object. Approaches to grouping based on invariants assume objects are in restricted classes, while those based on minimal energy continuations assume a shape for the missing contours and require this shape to drive the grouping process. We propose the more general principle that those fragments should be grouped whose fragmentation could have arisen from a generic occluder. The gap skeleton is introduced as a representation of this virtual occluder, and an algorithm for computing it is given
  • Keywords
    computer vision; edge detection; image segmentation; object recognition; computer vision; fragment grouping; gap skeleton; generic occlusion; perceptual grouping; perceptual occlusion; Computer vision; Joining IEEE; Joining processes; Shape; Skeleton;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.545981
  • Filename
    545981