• DocumentCode
    319920
  • Title

    Efficient terrain data representation for 3D rendering using the generalized BFOS algorithm

  • Author

    Oswald, Scott P. ; Ramchandran, Kannan ; Huang, Thomas S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Univ., Champaign, IL, USA
  • Volume
    1
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    448
  • Abstract
    Digital terrain data has widespread applications in areas such as the military, geographic information systems (GIS), and flight simulator video games. The combination of the abundance of terrain data with the limited rendering capabilities of computer graphics machines creates the necessity for algorithms which generate efficient representations of the data for rendering. This paper presents such an algorithm. Terrain data is tessellated using a regular triangular grid, and the regular grid is represented using a binary tree. The generalized BFOS algorithm, a well-known optimal tree-pruning method for regression and quantization trees, is used to prune the tree optimally, resulting in a far more efficient representation of this data than known in the literature. In addition to its optimal properties, the representation is also embedded, making it suitable for displays at multiple resolutions
  • Keywords
    image representation; image resolution; rendering (computer graphics); tree data structures; 3D rendering; GIS; binary tree; computer graphics; displays; efficient terrain data representation; flight simulator video games; generalized BFOS algorithm; geographic information systems; military; multiple resolutions; quantization trees; regression; regular triangular grid; tessellation; tree-pruning method; Aerospace simulation; Application software; Binary trees; Computational modeling; Computer graphics; Games; Geographic Information Systems; Military computing; Rendering (computer graphics); Tree graphs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.647803
  • Filename
    647803