• DocumentCode
    595411
  • Title

    Direct least square fitting of ellipsoids

  • Author

    Xianghua Ying ; Li Yang ; Jing Kong ; Yongbo Hou ; Sheng Guan ; Hongbin Zha

  • Author_Institution
    Key Lab. of Machine Perception (MOE), Peking Univ., Beijing, China
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    3228
  • Lastpage
    3231
  • Abstract
    Least square fitting of quadratic surfaces is a fundamental problem in pattern recognition, computer vision, graphics, and medical imaging analysis. This paper investigated in approaches to ellipsoid-specific fitting. In 2D case, Fitzgibbon´s ellipse-specific fitting approach outperforms others since it is extremely robust, efficient, and easy to implement. This paper attempts to extend it from 2D to 3D for ellipsoid-specific fitting. The extension seems straightforward at first glance. However, we discovered to make the extension feasible is not easy as mentioned in the main text. Experimental results demonstrate the validity of the proposed approach.
  • Keywords
    curve fitting; least squares approximations; computer graphics; computer vision; direct least square fitting; ellipsoid-specific fitting; medical imaging analysis; pattern recognition; quadratic surfaces; Eigenvalues and eigenfunctions; Ellipsoids; Equations; Fitting; Noise; Robustness; Surface fitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460852