• DocumentCode
    1220051
  • Title

    Robust High-Resolution Cloth Using Parallelism, History-Based Collisions, and Accurate Friction

  • Author

    Selle, Andrew ; Su, Jonathan ; Irving, Geoffrey ; Fedkiw, Ronald

  • Author_Institution
    Ind. Light + Magic, Stanford Univ., Stanford, CA
  • Volume
    15
  • Issue
    2
  • fYear
    2009
  • Firstpage
    339
  • Lastpage
    350
  • Abstract
    In this paper we simulate high resolution cloth consisting of up to 2 million triangles which allows us to achieve highly detailed folds and wrinkles. Since the level of detail is also influenced by object collision and self collision, we propose a more accurate model for cloth-object friction. We also propose a robust history-based repulsion/collision framework where repulsions are treated accurately and efficiently on a per time step basis. Distributed memory parallelism is used for both time evolution and collisions and we specifically address Gauss-Seidel ordering of repulsion/collision response. This algorithm is demonstrated by several high resolution and high-fidelity simulations.
  • Keywords
    computational geometry; distributed memory systems; iterative methods; solid modelling; Gauss-Seidel ordering; cloth-object friction; computer graphics; distributed memory parallelism; geometric algorithm; history-based collision framework; history-based repulsion framework; physically based modeling; robust high-resolution cloth simulation; Application software; Clothing industry; Computational modeling; Computer simulation; Friction; Gaussian distribution; Graphics; Parallel processing; Robustness; Solid modeling; cloth; collision responce; computer graphics; friction; geometric algorithms; physically based modeling; Algorithms; Computer Graphics; Computer Simulation; Data Compression; Friction; Image Enhancement; Imaging, Three-Dimensional; Reproducibility of Results;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2008.79
  • Filename
    4522545