• DocumentCode
    2192949
  • Title

    Chapter 5: Smooth Surface Reconstruction Using Doo-Sabin Subdivision Surfaces

  • Author

    Cheng, Fuhua Frank ; Fan, Fengtao ; Huang, Conglin ; Wang, Jiaxi ; Lai, Shuhua ; Miura, Kenjiro T.

  • Author_Institution
    Dept. of Comput. Sci., Kentucky Univ., Lexington, KY
  • fYear
    2008
  • fDate
    9-11 July 2008
  • Firstpage
    27
  • Lastpage
    33
  • Abstract
    A new technique for the reconstruction of a smooth surface from a set of 3D data points is presented. The reconstructed surface is represented by an everywhere C1-continuous subdivision surface which interpolates all the given data points. The new technique consists of two major steps. First, an efficient surface reconstruction method is applied to produce a polyhedral approximation to the given data set M. A Doo-Sabin subdivision surface that smoothly passes through all the points in the given data set M is then constructed. The Doo-Sabin subdivision surface is constructed by iteratively modifying the vertices of the polyhedral approximation until a new control mesh Mmacr, whose Doo-Sabin subdivision surface interpolates M, is reached. This iterative process converges for meshes of any size and any topology. Therefore the surface reconstruction processes well-defined. The new technique has the advantages of both a local method and a global method, and the surface reconstruction process can reproduce special features such as edges and corners faithfully.
  • Keywords
    approximation theory; computational geometry; solid modelling; 3D data points; Doo-Sabin subdivision surfaces; polyhedral approximation; smooth surface reconstruction; Biomedical imaging; Computer science; Image reconstruction; Information science; Mathematical model; Mathematics; Reconstruction algorithms; Solid modeling; Surface reconstruction; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Imaging, 2008. GMAI 2008. 3rd International Conference on
  • Conference_Location
    London
  • Print_ISBN
    978-0-7695-3270-7
  • Type

    conf

  • DOI
    10.1109/GMAI.2008.15
  • Filename
    4568602