• DocumentCode
    2862639
  • Title

    A Framework of Large-Scale Terrain Visualization Based on GPU

  • Author

    Li, Bo ; Li, Zhongyi ; Wang, Cheng

  • Author_Institution
    Digital Eng. & Simulation Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper an efficient solution of large scale, interactive terrain visualization is proposed based on graphic hardware. The method of multi-thread is adopted to resolve the bottle-neck problem of data fetching from the external memory, and the methods of level of details (LODs) based on view-dependent and mesh rendering in graphics programmable units (GPU) are used to ensure visual quality and high rendering frame rate. Our framework exploits restricted quadtree structure to recursively subdivide a square block by the algorithm of top-down refinement, and takes advantage of the character of GPU vertex texture to render surface in shaders which extremely reduce time spending by parallel processing. Experimental results show that the framework is output sensitive, effective and satisfies the requirements of interactive large scale terrain visualization.
  • Keywords
    coprocessors; data visualisation; geographic information systems; interactive systems; parallel processing; rendering (computer graphics); GPU vertex texture; bottle-neck problem; geographic information system; graphic hardware; graphics programmable units; large scale interactive terrain visualization; level of details; mesh rendering; parallel processing; Acceleration; Application software; Data visualization; Graphics; Hardware; Large-scale systems; Memory management; Parallel processing; Rendering (computer graphics); Surface texture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5366144
  • Filename
    5366144