• DocumentCode
    461944
  • Title

    Revealing Significant Medial Structure in Polyhedral Meshes

  • Author

    Stolpner, Svetlana ; Siddiqi, Kaleem

  • Author_Institution
    Dept. of Comput. Sci., McGill Univ., Montreal, QC
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Firstpage
    365
  • Lastpage
    372
  • Abstract
    Medial surfaces are popular representations of 3D objects in vision, graphics and geometric modeling. They capture relevant symmetries and part hierarchies and also allow for detailed differential geometric information to be recovered. However, exact algorithms for their computation from meshes must solve high-order polynomial equations, while approximation algorithms rarely guarantee soundness and completeness. In this article we develop a technique for computing the medial surface of an object with a polyhedral boundary, which is based on an analysis of the average outward flux of the gradient of its Euclidean distance function. This analysis leads to a coarse-to-fine algorithm implemented on a cubic lattice that reveals at each iteration the salient manifolds of the medial surface. We provide comparative results against a state-of-the-art method in the literature.
  • Keywords
    computational geometry; gradient methods; mesh generation; surface fitting; 3D object representation; Euclidean distance function; approximation algorithm; average outward flux gradient analysis; coarse-to-fine algorithm; computer graphics; computer vision; cubic lattice; geometric modeling; high-order polynomial equation; iteration method; medial surface structure; polyhedral mesh; Approximation algorithms; Distributed computing; Electric shock; Equations; Lattices; Rough surfaces; Shape; Solids; Surface reconstruction; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    3D Data Processing, Visualization, and Transmission, Third International Symposium on
  • Conference_Location
    Chapel Hill, NC
  • Print_ISBN
    0-7695-2825-2
  • Type

    conf

  • DOI
    10.1109/3DPVT.2006.122
  • Filename
    4155749