• DocumentCode
    2469267
  • Title

    A new method for computing intrinsic surface properties

  • Author

    Wang, Y.F. ; Liang, P.

  • Author_Institution
    Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
  • fYear
    1989
  • fDate
    4-8 Jun 1989
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    A novel technique for computing intrinsic surface properties is developed. Intrinsic surface properties refer to those properties of a surface which are not affected by the choice of the coordinate system, the position of the viewer relative to the surface, and the particular parametric representation used to describe the imaged surface. Since intrinsic properties are characteristics of a surface, they are ideal for the purpose of representation and recognition. The intrinsic properties of interest are the principal curvatures, the intrinsic distance, and the lines of curvature. The authors adopt a structured lighting sensing configuration where a grid pattern is projected to encode the object surfaces for analysis. At each stripe junction, the curvature of the projected stripe on the object surface is computed and related to that of the normal section which shares the same tangential direction as the projected curve. The principal curvatures and their directions at the stripe junction under consideration are then recovered using Euler´s theorem
  • Keywords
    pattern recognition; picture processing; Euler´s theorem; grid pattern; intrinsic distance; intrinsic surface properties; lines of curvature; pattern recognition; picture processing; principal curvatures; stripe junction; structured lighting sensing; Cameras; Character recognition; Computer hacking; Computer science; Concurrent computing; Geometry; Layout; Mechanical factors; Pattern analysis; Shape;
  • 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.1989.37855
  • Filename
    37855