• DocumentCode
    3590978
  • Title

    Design and Realtime Simulation of Rain and Snow based on LOD and Fuzzy Motion

  • Author

    Yang, Yanfang ; Zhu, Xiaomei ; Jie Mei ; Chen, Dingfang

  • Author_Institution
    Sch. of Logistic Eng., Wuhan Univ. of Technol., Wuhan
  • Volume
    1
  • fYear
    2008
  • Firstpage
    510
  • Lastpage
    513
  • Abstract
    This paper has studied the basic principles to generate special rain and snow rendering effects using particle systems. To overcome the problem that the system operation efficiency are currently low in the simulation process, an optimization strategy is proposed which combines Level of Detail(LOD) and fuzzy motion technologies. The point eidolon technologies are used to enhance the rain and snow rendering effects based on GPU acceleration technology. To make the simulation effects more vivid, texture mapping among various types was studied while the wind´s aerodynamic affects on rain and snow are taken into account By the help of the OSG three-dimensional engine, we designed a special effect dialogue box interface to make adjustable the particle parameters, including its magnitude, speed, texture switching, etc. More vivid simulation effects for the falling rain and snow are thus easily achieved as the relevant parameters can be dynamically adjusted through the purposely-designed interface.
  • Keywords
    rain; rendering (computer graphics); snow; virtual reality; GPU acceleration; dialogue box interface; fuzzy motion; level of detail; point eidolon technologies; snow rendering effects; special rain rendering effects; texture mapping; Acceleration; Aerodynamics; Computational modeling; Fuzzy systems; Gravity; Kinematics; Layout; Pulp manufacturing; Rain; Snow; LOD; fuzzy motion; particle system; simulation of rain and snow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783641
  • Filename
    4783641