• DocumentCode
    3134191
  • Title

    Vertex-Based Anisotropic Smoothing of 3D Mesh Data

  • Author

    Zhang, Ying ; Haniza, A.B.

  • Author_Institution
    Concordia Inst. for Inf. Syst. Eng., Concordia Univ., Montreal, Que.
  • fYear
    2006
  • fDate
    38838
  • Firstpage
    202
  • Lastpage
    205
  • Abstract
    We propose a vertex-based anisotropic diffusion for 3D mesh denoising by solving a discrete partial differential equation. The core idea behind our proposed technique is to use geometric insight in helping construct an efficient and fast 3D mesh smoothing strategy to fully preserve the geometric structure of the data. Illustrating experimental results demonstrate a much improved performance of the proposed approach in comparison with existing methods currently used in 3D mesh smoothing
  • Keywords
    computational geometry; image denoising; mesh generation; partial differential equations; smoothing methods; 3D mesh denosing; 3D mesh smoothing; discrete partial differential equation; geometric structure; vertex-based anisotropic diffusion; Anisotropic magnetoresistance; Computer graphics; Image denoising; Image processing; Information systems; Laplace equations; Noise reduction; Partial differential equations; Smoothing methods; Solid modeling; 3D smoothing; Anisotropic diffusion; computer graphics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2006. CCECE '06. Canadian Conference on
  • Conference_Location
    Ottawa, Ont.
  • Print_ISBN
    1-4244-0038-4
  • Electronic_ISBN
    1-4244-0038-4
  • Type

    conf

  • DOI
    10.1109/CCECE.2006.277433
  • Filename
    4054546