• DocumentCode
    3325808
  • Title

    Shape-preserving mesh decimation within a graph-theoretic framework

  • Author

    Jagannathan, A. ; Miller, E.L.

  • Author_Institution
    Center for Sub-surface Sensing & Imaging Syst., Northeastern Univ., Boston, MA
  • fYear
    2005
  • fDate
    Oct. 28 2005-Nov. 1 2005
  • Firstpage
    49
  • Lastpage
    53
  • Abstract
    A new mesh decimation algorithm is proposed to address the problem of obtaining shape-preserving coarse approximations of a highly detailed 3D surface mesh. The input mesh is segmented into multiple, disjoint sub-meshes to facilitate decimation. Given a sub-mesh, various shape clusters are identified and the vertices in those clusters arc labeled as boundary or interior. Shape is preserved by considering only similar-labeled vertex pairs as candidates for a potential merge. Sub-mesh decimation is realized by merging a vertex pair that minimizes the proposed graph energy based cost function. Results demonstrate the efficiency and efficacy of the approach
  • Keywords
    graph theory; image segmentation; 3D surface mesh; graph-theoretic framework; shape-preserving coarse approximations; shape-preserving mesh decimation; Clouds; Clustering algorithms; Cost function; Energy measurement; Image sampling; Image segmentation; Merging; Robustness; Shape measurement; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0131-3
  • Type

    conf

  • DOI
    10.1109/ACSSC.2005.1599699
  • Filename
    1599699