Article

Modeling and animating gases with simulation features

Authors:

David S. EbertAuthors Info & Claims

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

Pages 97 - 105

https://doi.org/10.1145/1073368.1073381

Published: 29 July 2005 Publication History

Abstract

In modeling natural phenomena, artists often compromise the benefits of direct control for the visual realism of physics-based simulation. For gases, Eulerian simulations traditionally provide realistic results, but a poor representation for artistically shaping the media. In our system, users work with a more intuitive set of continuously extracted features whose manipulation feeds back into the original simulation. This novel approach overcomes common control issues by providing modeling tools to manipulate high-level behavior in Eulerian simulations. We employ techniques in feature extraction, real-time gas simulation, and volume rendering to build an interactive system to sculpt three-dimensional flows.

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Cited By

Tang JKim BAzevedo VSolenthaler B(2023)Physics‐Informed Neural Corrector for Deformation‐based Fluid ControlComputer Graphics Forum10.1111/cgf.1475142:2(161-173)Online publication date: 23-May-2023
https://doi.org/10.1111/cgf.14751
Tang JC. Azevedo VCordonnier GSolenthaler B(2021)Honey, I Shrunk the Domain: Frequency‐aware Force Field Reduction for Efficient Fluids OptimizationComputer Graphics Forum10.1111/cgf.14263740:2(339-353)Online publication date: 4-Jun-2021
https://doi.org/10.1111/cgf.142637
Manteaux PVimont UWojtan CRohmer DCani MNeff MGeraerts RShum H(2016)Space-time sculpting of liquid animationProceedings of the 9th International Conference on Motion in Games10.1145/2994258.2994261(61-71)Online publication date: 10-Oct-2016
https://dl.acm.org/doi/10.1145/2994258.2994261
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Index Terms

Modeling and animating gases with simulation features
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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Published In

cover image ACM Conferences

SCA '05: Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation

July 2005

366 pages

ISBN:1595931988

DOI:10.1145/1073368

Conference Chairs:
Demetri Terzopoulos
New York University, USA
,
Victor Brian Zordan
University of California at Riverside, USA
,
Program Chairs:
Ken Anjyo
OLM Digital, Inc., Japan
,
Petros Faloutsos
University of California at Los Angeles, USA

Copyright © 2005 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
EUROGRAPHICS: The European Association for Computer Graphics

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2005

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SCA05

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SIGGRAPH
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SCA05: Symposium on Computer Animation

July 29 - 31, 2005

California, Los Angeles

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Overall Acceptance Rate 183 of 487 submissions, 38%

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Cited By

Tang JKim BAzevedo VSolenthaler B(2023)Physics‐Informed Neural Corrector for Deformation‐based Fluid ControlComputer Graphics Forum10.1111/cgf.1475142:2(161-173)Online publication date: 23-May-2023
https://doi.org/10.1111/cgf.14751
Tang JC. Azevedo VCordonnier GSolenthaler B(2021)Honey, I Shrunk the Domain: Frequency‐aware Force Field Reduction for Efficient Fluids OptimizationComputer Graphics Forum10.1111/cgf.14263740:2(339-353)Online publication date: 4-Jun-2021
https://doi.org/10.1111/cgf.142637
Manteaux PVimont UWojtan CRohmer DCani MNeff MGeraerts RShum H(2016)Space-time sculpting of liquid animationProceedings of the 9th International Conference on Motion in Games10.1145/2994258.2994261(61-71)Online publication date: 10-Oct-2016
https://dl.acm.org/doi/10.1145/2994258.2994261
Huang ZGong GHan L(2015)Physically-based smoke simulation for computer graphicsMultimedia Tools and Applications10.1007/s11042-014-1992-474:18(7569-7594)Online publication date: 1-Sep-2015
https://dl.acm.org/doi/10.1007/s11042-014-1992-4
Yang BLiu YYou LJin X(2013)Technical SectionComputers and Graphics10.1016/j.cag.2013.05.00137:7(775-786)Online publication date: 1-Nov-2013
https://dl.acm.org/doi/10.1016/j.cag.2013.05.001
Huang RKeyser J(2013)Automated sampling and control of gaseous simulationsThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-013-0798-029:6-8(751-760)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1007/s00371-013-0798-0
Zhang GLu DZhu DLv LLiu HMeng X(2013)Rigid‐motion‐inspired liquid character animationComputer Animation and Virtual Worlds10.1002/cav.150224:3-4(205-213)Online publication date: 3-May-2013
https://doi.org/10.1002/cav.1502
Barnat ALi ZMcCann JPollard NBrooks SIrani P(2011)Mid-level smoke control for 2D animationProceedings of Graphics Interface 201110.5555/1992917.1992922(25-32)Online publication date: 25-May-2011
https://dl.acm.org/doi/10.5555/1992917.1992922
Huang RMelek ZKeyser JLiu KBridson RBargteil Avan de Panne M(2011)Preview-based sampling for controlling gaseous simulationsProceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.1145/2019406.2019430(177-186)Online publication date: 5-Aug-2011
https://dl.acm.org/doi/10.1145/2019406.2019430
Zhang GZhu DQiu XWang Z(2011)Skeleton-based control of fluid animationThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-010-0526-y27:3(199-210)Online publication date: 1-Mar-2011
https://dl.acm.org/doi/10.1007/s00371-010-0526-y
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