(1) Institute of Artificial Intelligence, Department of Computer Science and Engineering, Zhejiang University, 310027 Hangzhou, P.R. China
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.
Supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No.6001107.