• DocumentCode
    3053833
  • Title

    Pairwise representations of shape

  • Author

    Evans, Alun C. ; Thacker, Neil A. ; Mayhew, John E W

  • Author_Institution
    Artificial Intelligence Vision Res. Unit, Sheffield Univ., UK
  • fYear
    1992
  • fDate
    30 Aug-3 Sep 1992
  • Firstpage
    133
  • Lastpage
    136
  • Abstract
    Representation of arbitrary shape for the purposes of visual object recognition is an unsolved problem. This paper outlines some theoretical properties of shape representations based on stored geometric constraints that make them suitable for input to a 3D object recognition system. The construction of such representations is detailed together with an evaluation of their efficacy based on experimental findings
  • Keywords
    noise; pattern recognition; picture processing; 3D object recognition system; arbitrary shape; shape representations; stored geometric constraints; visual object recognition; Artificial intelligence; Image edge detection; Interpolation; Large-scale systems; Noise robustness; Noise shaping; Object recognition; Shape; Solid modeling; Working environment noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
  • Conference_Location
    The Hague
  • Print_ISBN
    0-8186-2910-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1992.201525
  • Filename
    201525