• DocumentCode
    2469475
  • Title

    Structured edge map of curved objects in a range image

  • Author

    Godin, Guy D. ; Levine, Martin D.

  • Author_Institution
    Comput. Vision & Robotics Lab., McGill Univ., Montreal, Que., Canada
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    276
  • Lastpage
    281
  • Abstract
    An approach to the computation of a representation of objects with a planar and curved faces using discontinuity features in range images is presented. Edge maps are computed from real laser triangulation images using local operators and shadow analysis, and then structured into an edge-junction graph embedding and quantitative information. This is achieved by appealing to certain concepts of line-drawing analysis adapted to the three-dimensional nature of range imaging. The edge-oriented method is primarily useful for objects that are well-described by their edges. The main advantage of edge-based descriptions is that no fixed surface primitives are assumed. On the other hand, this scheme can only represent objects without any surface crease edges (such as a sphere) by viewpoint-dependent limb edges. This information may be insufficient for the ensuing high-level task. Thus, a generalization of the description format might include a surface analysis to provide a richer representation
  • Keywords
    graph theory; pattern recognition; picture processing; curved objects; discontinuity features; edge-junction graph; laser triangulation images; local operators; pattern recognition; picture processing; range image; shadow analysis; structured edge map; surface analysis; Computer vision; Data mining; Image analysis; Image edge detection; Intelligent robots; Layout; Optical imaging; Optical noise; Surface emitting lasers; Surface reconstruction;
  • 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.1989.37861
  • Filename
    37861