基于维纳过程的粒子系统研究

Particle system based on Wiener process

通过对现实烟雾、粉尘等现象中粒子的受力分析,利用粒子系统原理对其进行了模拟,引入了维纳过程建立粒子运动模型,提出了基于粒子密度的粒子消亡算法。并利用BillBoard技术对系统进行了优化。试验证明,采用该方法建立的粒子系统具有良好的实时性和沉浸性。

This article presents a visually convincing model of smoke and fog, suitable for the modeling and rendering of most common gaseous phenomena. It is based on Wiener process model where particles of smoke describe random orbits. One significant innovation is particle-killing algorithm, which is based on particles＇ density, giving efficient immersion. This algorithm more accurately models the distortions and diffusion that gases undergo. Lastly, BillBoard technology to reduce the calculation is introduced. The experiment shows that this method is efficient in immersion and real-time simulation.