• DocumentCode
    2238916
  • Title

    The support function, curvature functions and 3-D attitude determination

  • Author

    Li, Ying ; Woodham, Robert J.

  • Author_Institution
    Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    676
  • Lastpage
    677
  • Abstract
    Attitude is the 3-D rotation between the coordinate system of a known object and that of a sensed portion of its surface. Combinations of the support function of a known object with curvature measurements from a visible surface transform attitude determination into optimization problems that can be solved using standard numerical methods. Previous work using the extended Gaussian image (EGI) defined for convex polyhedra is extended to the domain of smooth, strictly convex objects where the EGI becomes equivalent to the second curvature function. Three-dimensional shape matching using the first curvature function is new. Emphasis is placed on theoretical foundations, algorithm development, and experimental proof-of-concept using real objects and surface data obtained from an existing photometric stereo system
  • Keywords
    curvature measurement; image matching; optimisation; stereo image processing; 3-D attitude determination; 3D shape matching; convex polyhedra; curvature functions; curvature measurements; extended Gaussian image; optimization; photometric stereo system; support function; Computer science; Coordinate measuring machines; Ellipsoids; Measurement standards; Optimization methods; Photometry; Position measurement; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.341032
  • Filename
    341032