• DocumentCode
    2501777
  • Title

    GPU Accelerated Plant Growth Modeling and Visualization

  • Author

    Zhao, Xing ; Hu, Jingjing ; Kang, MengZhen

  • Author_Institution
    Sch. of Math. Sci., Capital Normal Univ., Beijing, China
  • fYear
    2009
  • fDate
    9-13 Nov. 2009
  • Firstpage
    441
  • Lastpage
    444
  • Abstract
    We present a GPU-accelerated algorithm for plant growth modeling and visualization. In this algorithm, plant topological structures and geometrical structures are represented separately. Plant topological structures are generated by dual-scale automaton, and geometrical structures are dynamically constructed in parallel by the geometry shader of Graphics Processing Unit (GPU). This scheme greatly reduces the amount of transferred data between main memory and GPU memory, and speeds up plant growth modeling and rendering without compromising image quality. An application for cotton growth modeling and visualization is given in detail to confirm the advantages of the proposed algorithm.
  • Keywords
    agricultural engineering; computational geometry; computer graphic equipment; computer vision; coprocessors; rendering (computer graphics); GPU; dual scale automaton; geometrical structure; geometry shader; graphics processing unit; image quality; plant growth modeling; plant growth visualization; plant topological structure; rendering; Acceleration; Application software; Automata; Computational modeling; Data visualization; Geometry; Graphics; Mathematical model; Rendering (computer graphics); Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Plant Growth Modeling, Simulation, Visualization and Applications (PMA), 2009 Third International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-7695-3988-1
  • Electronic_ISBN
    978-1-4244-6330-5
  • Type

    conf

  • DOI
    10.1109/PMA.2009.43
  • Filename
    5474655