基于改进Qsplat算法的三维动态积云模拟研究

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-19 Cooperative journals: 《计算机应用研究》

彭晏飞 米扬 訾玲玲 赵全颖

Abstract： Although people have done a lot of research on cloud simulation, the existing cloud simulation algorithm can hardly obtain the cloud image with strong realism while ensuring the real-time performance. According to this problem, this paper proposes a cumulus-based simulation method for particle systems that combine Qsplat with IFS. First, build a tree-structured particle system based on the detail-level tree structure of Qsplat for speeding up particle system search speed. Then, for these particles which closer to the viewpoint , used the iterative function system algorithm to increase the level of enclosing the ball tree to enrich the local detail of the cloud to establish the shape of the cloud. Finally, Finally, rendered the cloud by using two-dimensional texture mapping of spherical entities, which realizes the fast real-time simulation of dynamic cumulus. The experimental results show that the method can generate real-time three-dimensional dynamic cumulus images quickly.

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