• DocumentCode
    436535
  • Title

    Fitting deformable superquadric based on geometric distance

  • Author

    Furong, Wen ; Baozong, Yuan ; Xiaofang, Tang

  • Author_Institution
    Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
  • Volume
    2
  • fYear
    2004
  • fDate
    31 Aug.-4 Sept. 2004
  • Firstpage
    1284
  • Abstract
    We propose a geometric fitting algorithm for the deformable superquadric model, which is the computation of a measure of vector from each given point to orthogonal contacting point on the superquadric model, and estimates the optimum parameters of the model to minimize the squares sum of error distances. The estimated parameters by the proposed algorithm are invariant to coordinate transformation and we can easily find a physical interpretation of the fitting parameters.
  • Keywords
    computational geometry; curve fitting; iterative methods; least mean squares methods; optimisation; parameter estimation; surface fitting; algebraic distance; deformable superquadric model fitting; geometric distance; geometric fitting algorithm; iterative methods; least-squares algorithm fitting; optimum parameter estimation; Application software; Computer graphics; Computer vision; Costs; Deformable models; Equations; Image processing; Parameter estimation; Pattern recognition; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
  • Print_ISBN
    0-7803-8406-7
  • Type

    conf

  • DOI
    10.1109/ICOSP.2004.1441560
  • Filename
    1441560