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A fast framework construction and visualization method for particle-based fluid.

Zhang, F., Wang, Z., Chang, J., Zhang, J. J. and Tian, F., 2017. A fast framework construction and visualization method for particle-based fluid. Eurasip Journal on Image and Video Processing, 2017 (1), 79.

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s13640-017-0227-9.pdf - Published Version
Available under License Creative Commons Attribution.


DOI: 10.1186/s13640-017-0227-9


© 2017, The Author(s). Fast and vivid fluid simulation and visualization is a challenge topic of study in recent years. Particle-based simulation method has been widely used in the art animation modeling and multimedia field. However, the requirements of huge numerical calculation and high quality of visualization usually result in a poor computing efficiency. In this work, in order to improve those issues, we present a fast framework for 3D fluid fast constructing and visualization which parallelizes the fluid algorithm based on the GPU computing framework and designs a direct surface visualization method for particle-based fluid data such as WCSPH, IISPH, and PCISPH. Considering on conventional polygonization or adaptive mesh methods may incur high computing costs and detail losses, an improved particle-based method is provided for real-time fluid surface rendering with the screen-space technology and the utilities of the modern graphics hardware to achieve the high performance rendering; meanwhile, it effectively protects fluid details. Furthermore, to realize the fast construction of scenes, an optimized design of parallel framework and interface is also discussed in our paper. Our method is convenient to enforce, and the results demonstrate a significant improvement in the performance and efficiency by being compared with several examples.

Item Type:Article
Uncontrolled Keywords:Art visualization; Multimedia; Fluid simulation; Bilateral filter; Particle-based
Group:Faculty of Media & Communication
ID Code:30185
Deposited By: Symplectic RT2
Deposited On:08 Jan 2018 12:58
Last Modified:14 Mar 2022 14:08


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