• DocumentCode
    2291705
  • Title

    Real-Time Marker Level Set on GPU

  • Author

    Xing Mei ; Decaudin, P. ; Baogang Hu ; Xiaopeng Zhang

  • Author_Institution
    LIAMA/NLPR, CASIA, Beijing
  • fYear
    2008
  • fDate
    22-24 Sept. 2008
  • Firstpage
    209
  • Lastpage
    216
  • Abstract
    Level set methods have been extensively used to track the dynamical interfaces between different materials for physically based simulation, geometry modeling, oceanic modeling and other scientific and engineering applications. Due to the inherent Eulerian characteristics, interface evolution based on level set usually suffers from numerical diffusion, sharp feature missing and mass loss. Although some effective methods such as particle level set (PLS) and marker level set (MLS) have been proposed to tackle these difficulties, the complicated correction process and the high computational cost pose severe limitations for real-time applications. In this paper we provide an efficient parallel implementation of the marker level set method on latest graphics hardware. Each step of the MLS method is fully mapped on GPU with an innovative combination of different computation techniques. Relying on GPL´s parallelism and flexible programmability, the method provides real-time performance for large size 2D examples and moderate 3D examples, which is significantly faster than previous CPU-based methods.
  • Keywords
    computer graphic equipment; computer graphics; coprocessors; Eulerian characteristics; GPU; flexible programmability; geometry modeling; graphics hardware; graphics processing unit; interface evolution; oceanic modeling; particle level set; real-time marker level set; Cities and towns; Concurrent computing; Earth; Large-scale systems; Level set; Monitoring; Parallel processing; Roads; Supercomputers; Urban planning; GPU computation; level set; real-time techniques;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyberworlds, 2008 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-3381-0
  • Type

    conf

  • DOI
    10.1109/CW.2008.18
  • Filename
    4741302