• DocumentCode
    2469161
  • Title

    From 3D line segments to objects and spaces

  • Author

    Grossmann, Pavel

  • Author_Institution
    GEC Hirst Res. Centre, Wembley, UK
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    216
  • Lastpage
    221
  • Abstract
    An intermediate representation of stereo image data in terms of 3D line segments is used to extract visible surfaces and their parameters. Methods and algorithms for recovering planar, cylindrical, conical, and spherical surfaces are described, and some test results are presented. The essence of the approach is testing of small sets of 3D line segments for compatibility with a particular surface type. Maximal sets of segments of supporting different surface are then identified. Some of the algorithms involve a novel use of the dual space representation. In the domain of polyhedral scenes initially restricted to blocklike objects and spaces, the planar surfaces are combined, using connectivity, to create 3D boxes, that correspond either to simple (i.e. convex) objects or spaces, or to convex parts, which are further combined to create composite objects and spaces
  • Keywords
    artificial intelligence; computerised pattern recognition; computerised picture processing; topology; 3D boxes; 3D line segments; 3D object recognition; connectivity; dual space representation; feature extraction; pattern recognition; planar surfaces; polyhedral scenes; scene interpretation; Data mining; Image reconstruction; Image segmentation; Layout; Manufacturing; Mobile robots; Navigation; Object recognition; Surface reconstruction; Testing;
  • 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.1989.37852
  • Filename
    37852