• DocumentCode
    2020690
  • Title

    Isosurface Extraction of Volumetric Data Using Implicit Surface Polygonization

  • Author

    Zheng, Pan ; Belaton, Bahari ; Liao, Iman Yi

  • Author_Institution
    Sch. of Comput. Sci., Univ. Sains Malaysia, Penang
  • fYear
    2009
  • fDate
    25-29 May 2009
  • Firstpage
    555
  • Lastpage
    559
  • Abstract
    Isosurface extraction is always an interesting topic in the field of computer graphics and scientific visualization. This study surveys isosurface construction methods, particularly in implicit surface polygonization using tracking partition. An investigation is conducted on the implementation of it. With reference of original Jules Bloomenthalpsilas implementation, an extension of the implicit surface polygonization is developed with concern of real volumetric data. Rather than conventional methods, such as marching cubes and its variants, the method has advantages on time complexity, flexibility and is easy to implement. A brief comparison has been done among these methods. During the development, some practical issues, such as starting point placement, seed point generation, manifold surface, manifold-with-boundary, are addressed. Possible solutions of these problems are suggested. Some ideas on enhancement of the method are conveyed at end of this paper for further work.
  • Keywords
    data visualisation; feature extraction; recovery; computer graphics; isosurface construction methods; isosurface extraction; marching cubes; scientific visualization; volumetric data; Biomedical imaging; Computer graphics; Data mining; Data visualization; Isosurfaces; Magnetic resonance imaging; Medical diagnosis; Medical diagnostic imaging; Partitioning algorithms; Rendering (computer graphics); implicit polygonization; isosurface extraction; visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling & Simulation, 2009. AMS '09. Third Asia International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4244-4154-9
  • Electronic_ISBN
    978-0-7695-3648-4
  • Type

    conf

  • DOI
    10.1109/AMS.2009.45
  • Filename
    5072047