• DocumentCode
    3425946
  • Title

    Conformal method for quantitative shape extraction: Performance evaluation

  • Author

    Kamberov, G. ; Kamberova, G.

  • Author_Institution
    Dept. of Comput. Sci., Stevens Inst. of Technol., Hoboken, NJ, USA
  • Volume
    4
  • fYear
    2004
  • fDate
    26-26 Aug. 2004
  • Firstpage
    31
  • Abstract
    We evaluate our developed conformal method for quantitative shape extraction from unorganized 3D oriented point clouds. The conformal method has been tested previously on real, noisy, 3D data. Here we focus on the empirical evaluation of its performance on synthetic, ground truth data, and comparisons with other methods for quantitative extraction of mean and Gauss curvatures presented in the literature.
  • Keywords
    computer vision; performance evaluation; Gauss curvature; conformal method; mean curvature; performance evaluation; quantitative shape extraction; unorganized 3D oriented point clouds; Computer graphics; Data mining; Gaussian processes; Noise shaping; Shape; Surface fitting; Three-dimensional displays;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • Conference_Location
    Cambridge
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1333698
  • Filename
    1333698
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3425946