• DocumentCode
    3213414
  • Title

    Detecting parameteric curves using the straight line Hough transform

  • Author

    Pao, Derek ; Li, H.F. ; Jayakumar, R.

  • Author_Institution
    Dept. of Comput. Sci., Concordia Univ., Montreal, Que., Canada
  • Volume
    i
  • fYear
    1990
  • fDate
    16-21 Jun 1990
  • Firstpage
    620
  • Abstract
    A novel approach for the detection of parametric curves using the straight-line Hough transform is presented. The transform function of a curve can be expressed as the sum of two terms, namely, the intrinsic term and the translation term. This representation allows a natural decomposition of the high-dimensional parameter space into three subspaces: the intrinsic curve parameters, translation, and rotation. By eliminating either the translation term or the intrinsic term, one can easily determine the parameters of the remaining term. The complexity of this method depends mainly on the angular resolution, which is relatively independent of the arc length of the curve. The computational complexity of this approach compares favorably with that of other approaches based on the Hough transform
  • Keywords
    computational complexity; pattern recognition; picture processing; transforms; Hough transform; arc length; computational complexity; intrinsic curve parameters; parametric curve detection; pattern recognition; picture processing; rotation; translation; translation term; Computer science; Pixel; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1990. Proceedings., 10th International Conference on
  • Conference_Location
    Atlantic City, NJ
  • Print_ISBN
    0-8186-2062-5
  • Type

    conf

  • DOI
    10.1109/ICPR.1990.118175
  • Filename
    118175