• DocumentCode
    1705386
  • Title

    Partial matching of two dimensional shapes using random coding

  • Author

    Lee, Chin-hwa ; Quek, Gim Pew

  • Author_Institution
    Dept. of Electr. & Comput. Eng., US Naval Postgraduate Sch., Monterey, CA, USA
  • fYear
    1988
  • Firstpage
    64
  • Abstract
    Three algorithms for coding the boundary of two-dimensional shapes are described. In each algorithm, each boundary point is coded with respect to another point picked at random from the boundary. Using this method, an effective and efficient correlation technique to match two-dimensional shapes is developed. This technique can be used to match shapes of arbitrary scale and orientation. The given shape can have a closed or open boundary or even have a portion obstructed from the view. Matching can be performed with varying degrees of detail, giving the technique an added robustness, against geometrical distortions. It can also discriminate between different shapes. On an IBM 3033 computer it typically takes 10 CPU-seconds to generate one correlation curve between two shapes, each with a 500-point boundary curve
  • Keywords
    pattern recognition; picture processing; IBM 3033 computer; boundary coding; correlation technique; geometrical distortions; partial matching; pattern recognition; picture processing; random coding; shape discrimination; two-dimensional shapes; Formal languages; Noise shaping; Robustness; Shape; Testing; Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1988., 9th International Conference on
  • Conference_Location
    Rome
  • Print_ISBN
    0-8186-0878-1
  • Type

    conf

  • DOI
    10.1109/ICPR.1988.28173
  • Filename
    28173