• DocumentCode
    682799
  • Title

    The imperfect sample points of interpolation based on B-spline suface reconstruction

  • Author

    Tiansong Li ; Xinling Shi ; Yufeng Zhang ; Baolei Li ; Changxing Gou ; Qinhu Zhang ; Lanjuan Liu

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    522
  • Lastpage
    526
  • Abstract
    A novel B-spline surface interpolation algorithm based on particle swarm optimization is proposed to solve surface optimization problem. The core of this paper is that studying the effect of missing sample point data about B-spline surfaces interpolation. First, given sample points are used to interpolate B-spline surfaces, and then after removing some sample points, the remaining sample points are applied to generate a new B-spline surface. Finally, the image and error in previous process are analyzed.
  • Keywords
    CAD; engineering graphics; interpolation; particle swarm optimisation; splines (mathematics); surface fitting; B-spline suface reconstruction; B-spline surface interpolation algorithm; computer aided geometric design; graphics modeling; imperfect sample points; missing sample point data; particle swarm optimization; surface optimization problem; Image reconstruction; Interpolation; Particle swarm optimization; Splines (mathematics); Surface fitting; Surface reconstruction; Surface treatment; B-spline surface; control points; knot vector; missing sample points; parameterization; pso; remaining sample points; root-mean-square error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6744052
  • Filename
    6744052