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 ...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 parti-each particle as its attribute ,the diffusion of smoke can be described by the variation of parti-cles' 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 generatd quickly through the look-up talbes 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.展开更多
文摘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 parti-each particle as its attribute ,the diffusion of smoke can be described by the variation of parti-cles' 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 generatd quickly through the look-up talbes 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.
