A hybrid model for smoke simulation

  • Authors:
  • Tong Ruofeng;Dong Jinxiang

  • Affiliations:
  • Institute of Artificial Intelligence, Department of Computer Science and Engineering, Zhejiang University Hangzhou 310027, P.R. China;Institute of Artificial Intelligence, Department of Computer Science and Engineering, Zhejiang University Hangzhou 310027, P.R. China

  • Venue:
  • Journal of Computer Science and Technology
  • Year:
  • 2002

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Abstract

A smoke simulation approach based on the integration of traditional particle systems and density functions is presented in this paper. By attaching a density function to each particle as its attribute, the diffusion of smoke can be described by the variation of particles' density functions, along with the effect on airflow by controlling particles' movement and fragmentation. In addition, a continuous density field for realistic rendering can be generated quickly through the look-up tables of particle's density functions. Compared with traditional particle systems, this approach can describe smoke diffusion, and provide a continuous density field for realistic rendering with much less computation. A quick rendering scheme is also presented in this paper as a useful preview tool for tuning appropriate parameters in the smoke model.