• DocumentCode
    327795
  • Title

    Multiscale compression of planar curves using constant curvature segments

  • Author

    Mokhtari, Marielle ; Bergevin, Robert

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Laval Univ., Ste-Foy, Que., Canada
  • Volume
    1
  • fYear
    1998
  • fDate
    16-20 Aug 1998
  • Firstpage
    744
  • Abstract
    Proposes an approach to finding minimal descriptions of planar curves (open or closed) as sets of constant curvature segments (primitives such as straight line segments and/or circular arcs). The algorithm proceeds according to a multiscale segmentation and approximation of curves, and an intra- and inter-scale classification of this overall process. Its ultimate goal is to find a set of adequate pairs composed of one scale and one or several set(s) of constant curvature segments to best describe the shape of a curve
  • Keywords
    approximation theory; data compression; image coding; image segmentation; circular arcs; constant curvature segments; inter-scale classification; intra-scale classification; minimal descriptions; multiscale compression; multiscale segmentation; planar curves; straight line segments; Approximation algorithms; Computational geometry; Computer vision; Databases; Laboratories; Shape; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1998. Proceedings. Fourteenth International Conference on
  • Conference_Location
    Brisbane, Qld.
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-8512-3
  • Type

    conf

  • DOI
    10.1109/ICPR.1998.711253
  • Filename
    711253