• DocumentCode
    1795019
  • Title

    Large scale terrain tessellation in flight simulator visual system

  • Author

    Liu, Yanbing ; Chang, H. ; Dai, S.L.

  • Author_Institution
    State Key Lab. of Virtual Reality Technol. & Syst., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1028
  • Lastpage
    1033
  • Abstract
    In order to solve the problem of high CPU usage and long rendering time in large scale terrain rendering in the flight simulator visual system, a GPU-based terrain tessellation algorithm is presented. We introduce an adaptive tessellation factor model combines screen-space projected area, terrain energy function and movement error function. This model conforms more closely to the hypsography, the velocity of viewpoint movement and the line of sight. And it separates the calculation of inside and edge tessellation factor in addition. We present a mesh refinement method which combines the PN triangles algorithm with displacement mapping based on mipmap and filtered-fBm. In practice, this method resolves aliasing and angularity in terrain mesh. The experimental results show that this algorithm renders high resolution terrain model in spite of coarse terrain mesh the CPU outputs. It can reduce redundant triangles and shorten the rendering time significantly without decreasing the rendering effect.
  • Keywords
    aerospace simulation; graphics processing units; rendering (computer graphics); terrain mapping; CPU usage; GPU-based terrain tessellation algorithm; PN triangles algorithm; displacement mapping; edge tessellation factor; filtered-fBm; flight simulator visual system; hypsography; large scale terrain tessellation; long rendering time; mipmap; movement error function; screen-space projected area; terrain energy function; Adaptation models; Algorithm design and analysis; Filtering algorithms; Noise; Real-time systems; Rendering (computer graphics); Visual systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007348
  • Filename
    7007348