• DocumentCode
    494980
  • Title

    Optimum Segmentation of Digital Planar Curves Using Quadric Bézier Curves

  • Author

    Zhou, Tianxiang ; Shi, Haiyan ; Zheng, Houtian ; Wang, Qiming ; Li, Youmei

  • Author_Institution
    Dept. of Comput. Sci., Shaoxing Coll. of Arts & Sci., Shaoxing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    98
  • Lastpage
    101
  • Abstract
    This paper presents a dynamic programming algorithm to detect dominant points within a planar digital curve by approximating the given curve with quadric Bezier curves. Normally, people use cubic or higher curves to piecewise approximate a given curve, and the main job is to achieve an accurate approximation instead of dominant point detection. While using cubic or higher curves in the process of detecting dominant points of a planar curve, although a higher accuracy is achieved, the computational complexity is high too. In this paper we propose an algorithm using quadric Beziers instead of circular arcs and lines to approximate the given curve. Compare with previous algorithms our method gets more reasonable results without increasing the computational complexity.
  • Keywords
    approximation theory; computational complexity; computational geometry; curve fitting; dynamic programming; computational complexity; cubic curves; digital planar curves; dynamic programming algorithm; optimum segmentation; quadric Bezier curves; Approximation algorithms; Change detection algorithms; Computational complexity; Computer science; Dynamic programming; Educational institutions; Filtering; Heuristic algorithms; Iterative algorithms; Turning; Bézier curves; CAD; curve segmentation; dynamic programming; error-increasing measurement; polygon approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.230
  • Filename
    5168813