Detecting Binocular Half-Occlusions: Empirical Comparisons of Five Approaches

  • Authors:
  • Geoffrey Egnal;Richard P. Wildes

  • Affiliations:
  • GRASP Laboratory, University of Pennsylvania, 3401 Walnut St., Suite 300C, Philadelphia, PA;Department of Computer Science and Center for Vision Research, York University, 4700 Keele St., Toronto, Ontario M3J 1P3 Canada

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 2002

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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.