2014
DOI: 10.1145/2601097.2601152
|View full text |Cite
|
Sign up to set email alerts
|

Unified particle physics for real-time applications

Abstract: We present a unified dynamics framework for real-time visual effects. Using particles connected by constraints as our fundamental building block allows us to treat contact and collisions in a unified manner, and we show how this representation is flexible enough to model gases, liquids, deformable solids, rigid bodies and cloth with two-way interactions. We address some common problems with traditional particle-based methods and describe a parallel constraint solver based on position-based dynamics that is eff… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
305
0
2

Year Published

2014
2014
2017
2017

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 388 publications
(308 citation statements)
references
References 53 publications
1
305
0
2
Order By: Relevance
“…Furthermore, integration into a unified solver, e.g. a parallel successive over-relaxation solver [7], might reveal new insights.…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…Furthermore, integration into a unified solver, e.g. a parallel successive over-relaxation solver [7], might reveal new insights.…”
Section: Discussionmentioning
confidence: 99%
“…Performing the default solver steps desired particle locations will cause additional velocity to be added to the affected particles, which in turn causes visual artifacts to appear. In order to compensate for these artifacts, stabilization [7] to a subset of the particles.Pre-stabilization in our obstacles by adjusting the predicted as well as the current positions solving step ( Figure 6). …”
Section: Algorithmmentioning
confidence: 99%
See 1 more Smart Citation
“…They update the behavior of objects relying solely on positional information unlike force-based approaches such as FEM and mass-spring methods [16]. They are designed to be fast, controllable and stable in simulating interactive graphical environments such as clothes, deformable solids and fluids [17]. All those properties are desirable assets for active perception in robotics applications.…”
Section: Related Workmentioning
confidence: 99%
“…In the particle-based fluids, even the real-time results are very impressive for small amounts of fluids [5]. Sadly, neither of these approaches are fast enough for real-time modeling of large bodies of water, such as rivers and lakes [6].…”
Section: Introductionmentioning
confidence: 99%