• DocumentCode
    3512072
  • Title

    Registering 3D objects triangular meshes using an interest point detection on barycentric coordinates

  • Author

    Tibyani, Tibyani ; Kamata, Sei-ichiro

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2012
  • fDate
    18-19 May 2012
  • Firstpage
    122
  • Lastpage
    127
  • Abstract
    In this paper,we put forward an interest point detection framework and combine with a spin image algorithm to register them. A framework is presented in this study. This method make use of the Harris Operator Extension method of interest point detection on 3D manifold triangular meshes in barycentric coordinate. Using this approach, we can extract the object correctly and effectively in noise situation. The unique advantage of this framework is its applicability to triangular meshes models. Experimental results on a different number of models are shown to demonstrate more accurate and effectively results for global registering 3D Objects triangular meshes for three pairs of corresponding interest point features.
  • Keywords
    feature extraction; image registration; 3D manifold triangular mesh; 3D objects triangular mesh registration; Harris operator extension method; barycentric coordinate; interest point detection framework; noise situation; object extraction; spin image algorithm; triangular meshes model; Analytical models; Computational modeling; Europe; Image recognition; RNA; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4673-1153-3
  • Type

    conf

  • DOI
    10.1109/ICIEV.2012.6317548
  • Filename
    6317548