• DocumentCode
    1928549
  • Title

    A fast and accurate interest points detection algorithm on 3D meshes using extension of harris operator combined with Hilbert scanning distance

  • Author

    Tibyani, T. ; Kamata, Shingo

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Fukuoka, Japan
  • fYear
    2012
  • fDate
    23-26 Sept. 2012
  • Firstpage
    367
  • Lastpage
    371
  • Abstract
    The main purpose of interest points detection (IPD) for 3D objects based on Harris operator is to find the fast computation of weighted average of the derivative data for different points. In this paper, we analyze the extension of Harris operator using Hausdorff distance (EHOHD) and propose the extension of Harris operator using Hilbert scanning distance (EHOHSD) as a new proposed method to IPD on 3D manifold triangular meshes data. Proposed EHOHSD method is 6-16 times faster than EHOHD method. The quality of this IPD with EHOHSD was measured using the repeatability criterion.
  • Keywords
    computer vision; mesh generation; object detection; set theory; 3D manifold triangular meshes data; EHOHD; EHOHSD; Hilbert scanning distance; IPD; computer vision algorithm; derivative data weighted average computation; extension-of-Harris operator-using-Hausdorff distance; extension-of-Harris operator-using-Hilbert scanning distance; interest points detection algorithm; pattern recognition algorithm; repeatability criterion; 3D interest points detection; 3D triangular mesh; Harris operator; Hausdorff distance; Hilbert scanning distance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ISIEA), 2012 IEEE Symposium on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4673-3004-6
  • Type

    conf

  • DOI
    10.1109/ISIEA.2012.6496662
  • Filename
    6496662