Article

Taming liquids for rapidly changing targets

Authors:

Yizhou YuAuthors Info & Claims

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

Pages 229 - 236

https://doi.org/10.1145/1073368.1073401

Published: 29 July 2005 Publication History

Abstract

Following rapidly changing target objects is a challenging problem in fluid control, especially when the natural fluid motion should be preserved. The fluid should be responsive to the changing configuration of the target and, at the same time, its motion should not be overconstrained. In this paper, we introduce an efficient and effective solution by applying two different external force fields. The first one is a feedback force field which compensates for discrepancies in both shape and velocity. Its shape component is designed to be divergence free so that it can survive the velocity projection step. The second one is the gradient field of a potential function defined by the shape and skeletion of the target object. Our experiments indicate a mixture of these two force fields can achieve desirable and pleasing effects.

References

[1]

{AS99} Adalsteinsson D., Sethian J. A.: The fast construction of extension velocities in level set methods. J. Comput. Phys. 148, 1 (1999), 2--22.

Digital Library

[2]

{Bul00} Bullo F.: Stabilization of relative equilibria for underactuated systems on riemannian manifolds. Automatica 36, 12 (2000), 1819--1834.

Digital Library

[3]

{CMT04} Carlson M., Mucha P., Turk G.: Rigid fluid: Animating the interplay between rigid bodies and fluid. ACM Trans. Graphics 23, 3 (2004), 375--382.

Digital Library

[4]

{EMF02} Enright D., Marschner S., Fedkiw R.: Animation and rendering of complex water surfaces. ACM Transactions on Graphics 21, 3 (2002), 736--744.

Digital Library

[5]

{Enr02} Enright D.: Use Of The Particle Level Set Method For Enhanced Resolution of Free Surface Flows. PhD thesis, Stanford University, 2002.

Digital Library

[6]

{FF01} Foster N., Fedkiw R.: Practical animation of liquids. In SIGGRAPH 2001 Conference Proceedings (2001), pp. 23--30.

Digital Library

[7]

{FL04} Fattal R., Lischinski D.: Target-driven smoke animation. ACM Transactions on Graphics 23, 3 (2004), 439--446.

Digital Library

[8]

{FM97} Foster N., Metaxas D.: Controlling fluid animation. In Proceedings of Computer Graphics International (1997), pp. 178--188.

Digital Library

[9]

{FSJ01} Fedkiw R., Stam J., Jensen H.: Visual simulation of smoke. In SIGGRAPH 01 Conference Proceedings (2001), pp. 15--22.

Digital Library

[10]

{GBO04} Goktekin T., Bargteil A. W., O'Brien J.: A method for animating viscoelastic fluids. ACM Trans. Graphics 23, 3 (2004), 461--466.

Digital Library

[11]

{GL96} Golub G., Loan C. V.: Matrix Computations. The Johns Hopkins Unversity Press, Baltimore, third edition, 1996.

[12]

{Hau04} Haugen F.: PID Control of Dynamic Systems. Tapir Forlag, 2004.

[13]

{HK04} Hong J.-M., Kim C.-H.: Controlling fluid animation with geometric potential. Computer Animation and Virtual Worlds 15, 3--4 (2004), 147--157.

Digital Library

[14]

{LF02} Lamorlette A., Foster N.: Structural modeling of flames for a production environment. In SIGGRAPH 02 Conference Proceedings (2002), pp. 729--735.

Digital Library

[15]

{LGF04} Losasso F., Gibou F., Fedkiw R.: Simulating water and smoke with an octree data structure. ACM Transactions on Graphics 23, 3 (2004), 455--460.

Digital Library

[16]

{MTPS04} McNamara A., Treuille A., Popović Z., Stam J.: Fluid control using the adjoint method. ACM Trans. Graphics 23, 3 (2004), 447--454.

Digital Library

[17]

{OF01} Osher S., Fedkiw R.: Level set methods: an overview and some recent results. Computational Physics 169, 2 (2001).

Digital Library

[18]

{PT85} Peyret R., Taylor T. D.: Computational methods for fluid flow. Springer series in computational physics. Springer, 1985.

[19]

{REN*04} Rasmussen N., Enright E., Nguyen D., Marino S., Sumner N., Geiger W., Hoon S., Fedkiw R.: Directable photorealistic liquids. In Eurographics/ACM SIGGRAPH Symposium on Computer Animation (2004).

Digital Library

[20]

{Set99} Sethian J.: Level Set Methods and Fast Marching Methods. Cambridge University Press, 1999.

[21]

{SHG*03} Sumner N., Hoon S., Geiger W., Marino S., Rasmussen N., Fedkiw R.: Melting and terminatrix. In SIGGRAPH 2003 Sketches & Applications, Conference Abstracts and Applications (2003).

[22]

{SP04} Sumner R., Popović J.: Deformation transfer for triangle meshes. ACM Transactions on Graphics 23, 3 (2004), 397--403.

Digital Library

[23]

{Sta99} Stam J.: Stable fluids. In SIGGRAPH 99 Conference Proceedings (1999), pp. 121--128.

Digital Library

[24]

{SY05} Shi L., Yu Y.: Controllable smoke animation with guiding objects. ACM Transactions on Graphics 24, 1 (2005), 140--164.

Digital Library

[25]

{TMPS03} Treuille A., McNamara A., Popović Z., Stam J.: Keyframe control of smoke simulations. ACM Trans. Graphics 22, 3 (2003), 716--723.

Digital Library

Cited By

Horimoto ASato SSakurai KNakamoto K(2025)A shape control method for soap bubble simulation using external forcesScientific Reports10.1038/s41598-025-90850-215:1Online publication date: 6-Mar-2025
https://doi.org/10.1038/s41598-025-90850-2
Ozdemir TShi JKing NBatty C(2024)Editing Fluid Flows with Divergence-Free Biharmonic Vector Field InterpolationSIGGRAPH Asia 2024 Technical Communications10.1145/3681758.3698004(1-4)Online publication date: 3-Dec-2024
https://dl.acm.org/doi/10.1145/3681758.3698004
Chen YLevin DLanglois T(2024)Fluid Control with Laplacian EigenfunctionsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657468(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657468
Show More Cited By

Index Terms

Taming liquids for rapidly changing targets
1. Computing methodologies
2. Theory of computation
  1. Randomness, geometry and discrete structures
    1. Computational geometry

Recommendations

Bubbling and frothing liquids

We present a discrete particle based method capable of creating very realistic animations of bubbles in fluids. It allows for the generation (nucleation) of bubbles from gas dissolved in the fluid, the motion of the discrete bubbles including bubble ...
Bubbling and frothing liquids
SIGGRAPH '07: ACM SIGGRAPH 2007 papers

We present a discrete particle based method capable of creating very realistic animations of bubbles in fluids. It allows for the generation (nucleation) of bubbles from gas dissolved in the fluid, the motion of the discrete bubbles including bubble ...
Surface-only liquids

We propose a novel surface-only technique for simulating incompressible, inviscid and uniform-density liquids with surface tension in three dimensions. The liquid surface is captured by a triangle mesh on which a Lagrangian velocity field is stored. ...

Comments

Information & Contributors

Information

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]

Sponsors

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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 July 2005

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Article

Conference

SCA05

Sponsor:

SIGGRAPH
EUROGRAPHICS

SCA05: Symposium on Computer Animation

July 29 - 31, 2005

California, Los Angeles

Acceptance Rates

Overall Acceptance Rate 183 of 487 submissions, 38%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

114
Total Citations
View Citations
537
Total Downloads

Downloads (Last 12 months)17
Downloads (Last 6 weeks)3

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Horimoto ASato SSakurai KNakamoto K(2025)A shape control method for soap bubble simulation using external forcesScientific Reports10.1038/s41598-025-90850-215:1Online publication date: 6-Mar-2025
https://doi.org/10.1038/s41598-025-90850-2
Ozdemir TShi JKing NBatty C(2024)Editing Fluid Flows with Divergence-Free Biharmonic Vector Field InterpolationSIGGRAPH Asia 2024 Technical Communications10.1145/3681758.3698004(1-4)Online publication date: 3-Dec-2024
https://dl.acm.org/doi/10.1145/3681758.3698004
Chen YLevin DLanglois T(2024)Fluid Control with Laplacian EigenfunctionsACM SIGGRAPH 2024 Conference Papers10.1145/3641519.3657468(1-11)Online publication date: 13-Jul-2024
https://dl.acm.org/doi/10.1145/3641519.3657468
Aoyama KHayakawa YFujishiro I(2024)3D Fluid Shape Control by Direct ManipulationAdvances in Visual Computing10.1007/978-3-031-77392-1_8(99-110)Online publication date: 21-Oct-2024
https://dl.acm.org/doi/10.1007/978-3-031-77392-1_8
Chu KHuang JTakana HKitamura Y(2023)Real-Time Reconstruction of Fluid Flow under Unknown DisturbanceACM Transactions on Graphics10.1145/362401143:1(1-14)Online publication date: 17-Oct-2023
https://dl.acm.org/doi/10.1145/3624011
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
Flynn SHart DMorse BHolladay SEgbert P(2021)Generalized fluid carving with fast lattice-guided seam computationACM Transactions on Graphics10.1145/3478513.348054440:6(1-15)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480544
Chu MThuerey NSeidel HTheobalt CZayer R(2021)Learning meaningful controls for fluidsACM Transactions on Graphics10.1145/3450626.345984540:4(1-13)Online publication date: 19-Jul-2021
https://dl.acm.org/doi/10.1145/3450626.3459845
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
Choi MWi JKim TKim YKim C(2021)Learning Representation of Secondary Effects for Fire-Flake AnimationIEEE Access10.1109/ACCESS.2021.30540619(17620-17630)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3054061
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten