Creating Endless Water Flow Animation using Particle Data.

GRAPP 2016: Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: Volume 1: GRAPP(2016)

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摘要
In this paper, we propose an efficient method for synthesizing water animation such as waterfall or rivers using particle-based simulation. Recently, physically based simulation has become a popular technique to create realistic animation of natural phenomena in many applications, e.g. commercial films, movies and games. Particularly, there is a growing demand on synthesizing realistic animation of fluids, such as water. However, realistic fluid animation requires a high computational cost. Some applications requiring real time performances, such as games, cannot afford such a high computational cost. In this paper, we propose an efficient method for creating endless animations of water flow using particle data generated by fluid simulation. We store a set of dynamic particles in a database and use them repeatedly to produce endless animations.
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