• DocumentCode
    2461634
  • Title

    An improved algorithm for algebraic curve and surface fitting

  • Author

    Taubin, Gabriel

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    658
  • Lastpage
    665
  • Abstract
    The author describes a new method to improve the algebraic surface fitting process by better approximating the Euclidean distance from a point to the surface. In the past they have used a simple first order approximation of the Euclidean distance from a point to an implicit curve or surface which yielded good results in the case of unconstrained algebraic curves or surfaces, and reasonable results in the case of bounded algebraic curves and surfaces. However, experiments with the exact Euclidean distance have shown the limitations of this simple approximation. Here, a more complex, and better, approximation to the Euclidean distance is introduced from a point to an alegbraic curve or surface. It is shown that this new approximate distance produces results of the same quality as those based on the exact Euclidean distance, and much better than those obtained using other available methods
  • Keywords
    computational geometry; image reconstruction; surface reconstruction; Euclidean distance; algebraic curve; surface fitting; Buildings; Curve fitting; Euclidean distance; Iterative algorithms; Least squares approximation; Object recognition; Polynomials; Shape; Solid modeling; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378149
  • Filename
    378149