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| Content Provider | ACM Digital Library |
|---|---|
| Author | Hao, Aimin Qin, Hong Gao, Yang Li, Shuai |
| Abstract | Physically-based fluid animation and solid deformation driven by numerical simulation have manifested their significance for many graphics applications during the past two decades. For example, the fluid implicit particle (FLIP) method and shape matching technique based on position based dynamics (PBD) have demonstrated their unique graphics strength in fluid and solid animation, respectively. We propose a novel integrated approach supporting the seamless unification of FLIP and shape matching. We devise new algorithms to tackle existing difficulties when handling new phenomena such as high-fidelity fluid-solid interaction and solid melting. The key innovation of this paper is a unified Lagrangian framework that seamlessly blends FLIP and PBD based shape matching constraint towards the natural yet strong coupling between fluid and deformable solid. Within our integrated framework, it enables many complicated fluid-solid phenomena with ease. We conduct various kinds of experiments. All the results demonstrate the advantages of our unified hybrid approach towards visual fidelity, efficiency, stability, and versatility. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781450352284 |
| DOI | 10.1145/3095140.3095151 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-06-27 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Position based dynamics Shape matching Flip Solid deformation |
| Content Type | Text |
| Resource Type | Article |
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