• DocumentCode
    3207294
  • Title

    Hierarchical decomposition and axial shape description

  • Author

    Rom, Hillel ; Medioni, Gérard

  • Author_Institution
    Inst. for Robot. & Intelligent Syst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    49
  • Lastpage
    55
  • Abstract
    The problem of obtaining intuitive descriptions of planar shapes is addressed. In particular, a method for producing a segmented axial description of a given shape together with a hierarchical decomposition of the shape into its parts is suggested. Smooth local symmetries are used for the axial description of parts. Parallel symmetries are used to provide information on global relationships within the shape. It is assumed that the shape is a closed planar curve. The approach uses both region and contour information, can handle shapes with corners, and addresses the issues of local versus global information, the issue of scale and the notion of part. The method is computationally efficient, robust, and stable. Results showing that it provides an intuitive shape description are presented
  • Keywords
    computer vision; B-spline approximation; axial shape description; closed planar curve; contour information; corners; global relationships; hierarchical decomposition; parallel symmetries; planar shapes; scale; segmented axial description; shape decomposition; smooth local symmetries; History; Humans; Intelligent robots; Intelligent systems; Machine intelligence; Read only memory; Robustness; Shape; Skeleton; US Government;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223228
  • Filename
    223228