• DocumentCode
    1766291
  • Title

    A Level-Set Method for Skinning Animated Particle Data

  • Author

    Bhattacharya, Haimasree ; Yue Gao ; Bargteil, Adam W.

  • Author_Institution
    Univ. of Utah, Salt Lake City, UT, USA
  • Volume
    21
  • Issue
    3
  • fYear
    2015
  • fDate
    March 1 2015
  • Firstpage
    315
  • Lastpage
    327
  • Abstract
    In this paper, we present a straightforward, easy to implement method for particle skinning-generating surfaces from animated particle data. We cast the problem in terms of constrained optimization and solve the optimization using a level-set approach. The optimization seeks to minimize the thin-plate energy of the surface, while staying between surfaces defined by the union of spheres centered at the particles. Our approach skins each frame independently while preserving the temporal coherence of the underlying particle animation. Thus, it is well-suited for environments where particle skinning is treated as a post-process, with each frame generated in parallel. Moreover, our approach is integrated with the OpenVDB library and the underlying partial differential equation is amenable to implicit time integration. We demonstrate our method on data generated by a variety of fluid simulation techniques and simple particle systems.
  • Keywords
    computer animation; optimisation; OpenVDB library; animated particle data skinning; constrained optimization; fluid simulation techniques; implicit time integration; level-set method; partial differential equation; particle skinning-generating surface method; simple particle systems; thin-plate energy; Animation; Buffer storage; Laplace equations; Optimization; Smoothing methods; Surface treatment; Particle skinning; constrained smoothing; fluid simulation; level-set methods; particle systems; surface smoothing;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2014.2362546
  • Filename
    6919322