• DocumentCode
    556754
  • Title

    Linear diffusion for generating plant distribution in natural environment simulation

  • Author

    Apostol, Bogdan ; Manta, Vasile

  • Author_Institution
    Fac. of Autom. Control & Comput. Eng., Tech. Univ. Gheorghe Asachi Iasi, Iasi, Romania
  • fYear
    2011
  • fDate
    14-16 Oct. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Seamless simulation and rendering of realistic natural environments has the goals of modeling the terrain and placing large groups of plants in a manner that would generate a scene similar to what a viewer would see in real life. The placement of plants is derived automatically from real land cover classification (LCC) data which describes each area on the map as a single vegetation type. This work presents a method for solving the problem of plant distribution in transition areas between different vegetation classes by using the concept of linear diffusion in an arbitrary direction. In practice this direction can be determined by different climatic factors. Our proposed implementation can accurately process a high number of neighboring areas in real-time by using parallel processing on the graphics processing unit.
  • Keywords
    computer graphic equipment; diffusion; parallel processing; pattern classification; realistic images; rendering (computer graphics); terrain mapping; vegetation mapping; LCC data; climatic factors; graphics processing unit; linear diffusion; natural environment simulation; parallel processing; plant distribution generation; real land cover classification data; realistic natural environments rendering; seamless simulation; single vegetation type; terrain modeling; vegetation classes; Computational modeling; Ecosystems; Graphics processing unit; Hardware; Real time systems; Rendering (computer graphics); Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, Control, and Computing (ICSTCC), 2011 15th International Conference on
  • Conference_Location
    Sinaia
  • Print_ISBN
    978-1-4577-1173-2
  • Type

    conf

  • Filename
    6085708