• DocumentCode
    2472800
  • Title

    Hierarchical region based stereo matching

  • Author

    Cohen, Lawrence ; Vinet, Laurent ; Sander, Peter T. ; Gagalowicz, Andre

  • Author_Institution
    Domaine de Voluceau-Rocquencourt, Le Chesnay, France
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    416
  • Lastpage
    421
  • Abstract
    Stereo matching is the process of determining correspondences between entities in related images. Often, this is treated as two quite independent subprocesses, namely, segmentation, followed by matching. These processes are treated as naturally related, in that partial matching is fed back to the segmentation and both proceed simultaneously in a cooperative fashion. Regions are considered as the primitives to be matched, since many of the shortcomings inherent in approaches based on points or lines can be overcome by taking more developed entities. The implementation is based on maintaining a hierarchy of segmented regions in each image, corresponding to analysis at differing scales. The selection of a particular segmentation in each image at a scale appropriate to each region is validated with reference to the optimal matching region in the other image. Examples of these methods, applied to a synthetic image (incorporating color) and to natural office scenes, are presented
  • Keywords
    pattern recognition; picture processing; correspondences; hierarchical region based stereo matching; natural scenes; pattern recognition; picture processing; segmentation; synthetic image; Biological systems; Detectors; Feeds; Image edge detection; Image segmentation; Machine vision; Orbital robotics; Shape; Stereo vision; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1989. Proceedings CVPR '89., IEEE Computer Society Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-1952-x
  • Type

    conf

  • DOI
    10.1109/CVPR.1989.37880
  • Filename
    37880