• DocumentCode
    2071227
  • Title

    A Three Dimensional Mesh Improvement Algorithm Based on Curvature Flow

  • Author

    Lv, Zhenhong ; Chen, Xin

  • Author_Institution
    Sch. of Math., Phys. & Inf. Eng., Zhejiang Normal Univ., Jinhua, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    36
  • Lastpage
    40
  • Abstract
    In order to suppress undesirable noises in triangular meshes for quality improvement, an effective smoothing method based on curvature flow is proposed in this paper. For triangular meshes generated from planar contours, the continuity information amongst adjacent contours is utilized to determine whether a vertex represents a geometric feature to preserve or an isolated noise to smooth. Before smoothing the original mesh with an isotropic diffusion process, local adaptive refinement is performed where the sharp features are detected. In doing so, the smoothing method has both the benefits of the isotropic diffusion method, simplicity and stability, and that of the anisotropic diffusion method, feature preserving. The presented method is implemented along with several other smoothing methods, and experiments that smooth triangular meshes reconstructed from contours are performed. Experimental results demonstrate that our method can smooth triangular meshes in an effective way.
  • Keywords
    mesh generation; smoothing methods; anisotropic diffusion method; curvature flow; isotropic diffusion process; local adaptive refinement; planar contours; smoothing method; three dimensional mesh improvement algorithm; triangular meshes; undesirable noise suppression; Anisotropic magnetoresistance; Computer vision; Diffusion processes; Image edge detection; Image reconstruction; Low pass filters; Noise shaping; Nonlinear equations; Smoothing methods; Solid modeling; curvature flow; feature-preserving; smoothing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2009 Second International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6325-1
  • Electronic_ISBN
    978-1-4244-6326-8
  • Type

    conf

  • DOI
    10.1109/ISISE.2009.118
  • Filename
    5447224