research-article

Feedback control of cumuliform cloud formation based on computational fluid dynamics

Authors:

Yoshinori Dobashi,

Katsutoshi Kusumoto,

Tomoyuki Nishita,

Tsuyoshi YamamotoAuthors Info & Claims

SIGGRAPH '08: ACM SIGGRAPH 2008 papers

Article No.: 94, Pages 1 - 8

https://doi.org/10.1145/1399504.1360693

Published: 01 August 2008 Publication History

Abstract

Clouds play an important role for creating realistic images of outdoor scenes. In order to generate realistic clouds, many methods have been developed for modeling and animating clouds. One of the most effective approaches for synthesizing realistic clouds is to simulate cloud formation processes based on the atmospheric fluid dynamics. Although this approach can create realistic clouds, the resulting shapes and motion depend on many simulation parameters and the initial status. Therefore, it is very difficult to adjust those parameters so that the clouds form the desired shapes. This paper addresses this problem and presents a method for controlling the simulation of cloud formation. In this paper, we focus on controlling cumuliform cloud formation. The user specifies the overall shape of the clouds. Then, our method automatically adjusts parameters during the simulation in order to generate clouds forming the specified shape. Our method can generate realistic clouds while their shapes closely match to the desired shape.

Supplementary Material

MOV File (a94-dobashi.mov)

Download
22.50 MB

References

[1]

Astrom, K. J., and Haqqlund, T. 1995. PID Controllers: Theory, Design, and Tuning. International Society for Measurement and Con.

[2]

Bouthors, A., and Neyret, F. 2002. Modeling clouds shape. In Proceedings of Eurographics 2004 (short papers).

[3]

Dobashi, Y., Kaneda, K., Yamashita, H., Okita, T., and Nishita, T. 2000. A simple, efficient method for realistic animation of clouds. In Proceedings of ACM SIGGRAPH 2000, Annual Conference Series, 19--29.

Digital Library

[4]

Ebert, D. S., Musgrave, F. K., Peachey, D., Perlin, K., and Worley, S. 2002. Texturing & modeling: a procedural approach. Morgan Kaufman.

Digital Library

[5]

Fattal, R., and Lischinski, D. 2004. Target-driven smoke animation. ACM Transactions on Graphics 23, 3 (Aug.), 439--446.

Digital Library

[6]

Feldman, B. E., O'Brien, J. F., and Arikan, O. 2003. Animating suspended particle explosions. In Proceedings of ACM SIGGRAPH 2003, 708--715.

Digital Library

[7]

Foster, N., and Fedkiw, R. 2001. Practical animation of liquids. In Proceedings of ACM SIGGRAPH 2001, 23--30.

Digital Library

[8]

Gardner, G. Y. 1985. Visual simulation of clouds. Computer Graphics (Proceedings of SIGGRAPH 1985) 19, 3 (July), 297--304.

Digital Library

[9]

Harris, M. J., Baxter, W. V., Scheuemann, T., and Lastra, A. 2003. Simulation of cloud dynamics on graphics hardware. In Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware 2003, 92--101.

Digital Library

[10]

Haugen, F. 2004. PID Control Of Dynamic Systems. Tapir Forlag.

[11]

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

Digital Library

[12]

Igarashi, T., Matsuoka, S., and Tanaka, H. 1999. Teddy: a sketching interface for 3d free-form design. In Proceedings of ACM SIGGRAPH 1999, 409--416.

Digital Library

[13]

Kajiya, J. T., and Herzen, B. P. V. 1984. Ray tracing volume densities. Computer Graphics (Proceedings of SIGGRAPH 1984) 18, 3 (Aug.), 165--174.

Digital Library

[14]

Kim, Y., Machiraju, R., and Thompson, D. 2006. Path-based control of smoke simulations. In Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, 33--42.

Digital Library

[15]

Kim, B., Liu, Y., Llamas, I., Jiao, X., and Rossignac, J. 2007. Simulation of bubbles in foam with the volume control method. ACM Transactions on Graphics 26, 3 (July), Article 98.

Digital Library

[16]

McNamara, A., Treuille, A., Popovic, Z., and Stam, J. 2004. Fluid control using the adjoint method. ACM Transactions on Graphics 23, 3 (Aug.), 449--456.

Digital Library

[17]

Miyazaki, R., Yoshida, S., Nishita, T., and Dobashi, Y. 2001. A method for modeling clouds based on atmospheric fluid dynamics. In Proceedings of the 9th Pacific Conference on Computer Graphics and Applications, 363--372.

Digital Library

[18]

Miyazaki, R., Dobashi, Y., and Nishita, T. 2002. Simulation of cumuliform clouds based on computational fluid dynamics. In Proceedings of EUROGRAPHICS 2002 Short Presentations, 405--410.

[19]

Neyret, F. 1997. Qualitative simulation of convective cloud formation and evolution. In Proceedings of Eurographics Computer Animation and Simulation Workshop 1997, 113--124.

[20]

Nguyen, D. Q., Fedkiw, R., and Jensen, H. W. 2002. Physically based modeling and animation of fire. ACM Transactions on Graphics 21, 3 (Aug.), 721--728.

Digital Library

[21]

O'Dwyer, A. 2006. Handbook of Pi and Pid Controller Tuning Rules. Imperial College Press.

[22]

Shi, L., and Yu, Y. 2005. Taming liquids for rapidly changing targets. In Proceedings of the 2005 ACM SIGGRAPH/Eurographics symposium on Computer animation, 229--236.

Digital Library

[23]

Stam, J. 1999. Stable fluids. In Proceedings of ACM SIGGRAPH 1999, Annual Conference Series, 121--128.

Digital Library

[24]

Thürey, N., Keiser, R., Pauly, M., and Rüde, U. 2006. Detail-preserving fluid control. In Proceedings of the 2006 ACM SIGGRAPH/Eurographics symposium on Computer animation, 7--12.

Digital Library

[25]

Trembilski, A., and Brossler, A. 2002. Surface-based efficient cloud visualisation for animation applications. In Proceedings of The 10-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2002 (WSCG 2002), 453--460.

[26]

Treuille, A., McNamara, A., Popovic, Z., and Stam, J. 2003. Keyframe control of smoke simulations. ACM Transactions on Graphics 22, 3 (July), 716--723.

Digital Library

[27]

Ziegler, J. G., and Nichols, N. B. 1942. Optimum settings for automatic controllers. Transactions of the A. S. M. E. 64 (Nov.), 759--768.

Cited By

Herrera JHädrich TPałubicki WBanuti DPirk SMichels D(2021)WeatherscapesACM Transactions on Graphics10.1145/3478513.348053240:6(1-19)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480532
Muniz Cdos Santos W(2021)Generative Design applied to Cloud Modeling2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGames54170.2021.00019(79-86)Online publication date: Oct-2021
https://doi.org/10.1109/SBGames54170.2021.00019
Hädrich TMakowski MPałubicki WBanuti DPirk SMichels D(2020)StormscapesACM Transactions on Graphics10.1145/3414685.341780139:6(1-16)Online publication date: 26-Nov-2020
https://doi.org/10.1145/3414685.3417801
Show More Cited By

Index Terms

Feedback control of cumuliform cloud formation based on computational fluid dynamics
1. Computing methodologies
  1. Computer graphics
    1. Animation

Recommendations

A simple, efficient method for realistic animation of clouds
SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniques

This paper proposes a simple and computationally inexpensive method for animation of clouds. The cloud evolution is simulated using cellular automaton that simplifies the dynamics of cloud formation. The dynamics are expressed by several simple ...
Feedback control of cumuliform cloud formation based on computational fluid dynamics

Clouds play an important role for creating realistic images of outdoor scenes. In order to generate realistic clouds, many methods have been developed for modeling and animating clouds. One of the most effective approaches for synthesizing realistic ...
Target-driven smoke animation

In this paper we present a new method for efficiently controlling animated smoke. Given a sequence of target smoke states, our method generates a smoke simulation in which the smoke is driven towards each of these targets in turn, while exhibiting ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

SIGGRAPH '08: ACM SIGGRAPH 2008 papers

August 2008

887 pages

ISBN:9781450301121

DOI:10.1145/1399504

Copyright © 2008 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

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2008

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

SIGGRAPH '08

Sponsor:

SIGGRAPH

SIGGRAPH '08: Special Interest Group on Computer Graphics and Interactive Techniques Conference

August 11 - 15, 2008

California, Los Angeles

Acceptance Rates

SIGGRAPH '08 Paper Acceptance Rate 90 of 518 submissions, 17%;

Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

15
Total Citations
View Citations
1,087
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)0

Reflects downloads up to 18 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Herrera JHädrich TPałubicki WBanuti DPirk SMichels D(2021)WeatherscapesACM Transactions on Graphics10.1145/3478513.348053240:6(1-19)Online publication date: 10-Dec-2021
https://dl.acm.org/doi/10.1145/3478513.3480532
Muniz Cdos Santos W(2021)Generative Design applied to Cloud Modeling2021 20th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGames54170.2021.00019(79-86)Online publication date: Oct-2021
https://doi.org/10.1109/SBGames54170.2021.00019
Hädrich TMakowski MPałubicki WBanuti DPirk SMichels D(2020)StormscapesACM Transactions on Graphics10.1145/3414685.341780139:6(1-16)Online publication date: 26-Nov-2020
https://doi.org/10.1145/3414685.3417801
Zhang ZZhang YLi YLiang X(2020)Cumuliform Cloud Animation Control Based on Natural Images2020 International Conference on Virtual Reality and Visualization (ICVRV)10.1109/ICVRV51359.2020.00052(218-224)Online publication date: Nov-2020
https://doi.org/10.1109/ICVRV51359.2020.00052
Chen JCen YLiang X(2018)Sketch-based Cloud Model Retrieval for Cumulus Cloud Scene ConstructionProceedings of the 2nd International Conference on Digital Signal Processing10.1145/3193025.3193043(166-170)Online publication date: 25-Feb-2018
https://dl.acm.org/doi/10.1145/3193025.3193043
Montenegro ABaptista IDembogurski BClua E(2017)A New Method for Modeling Clouds Combining Procedural and Implicit Models2017 16th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames)10.1109/SBGames.2017.00027(173-182)Online publication date: Nov-2017
https://doi.org/10.1109/SBGames.2017.00027
KAWAGUCHI TDOBASHI YYAMAMOTO T(2015)Controlling the Simulation of Cumuliform Clouds Based on Fluid DynamicsIEICE Transactions on Information and Systems10.1587/transinf.2015EDL8085E98.D:11(2034-2037)Online publication date: 2015
https://doi.org/10.1587/transinf.2015EDL8085
Suzuki KDobashi YYamamoto TFujishiro IPan ZMagnenat-Thalmann NOshita MYang XYang H(2015)A sketch-based system for cloud volume retrieval from simulated dataset for realistic image synthesisProceedings of the 14th ACM SIGGRAPH International Conference on Virtual Reality Continuum and its Applications in Industry10.1145/2817675.2817690(51-54)Online publication date: 30-Oct-2015
https://dl.acm.org/doi/10.1145/2817675.2817690
Dobashi Y(2014)Inverse Approach for Visual Simulation of CloudsMathematical Progress in Expressive Image Synthesis I10.1007/978-4-431-55007-5_12(85-91)Online publication date: 30-May-2014
https://doi.org/10.1007/978-4-431-55007-5_12
Jones MFarley MButler JBeardall M(2010)Directable Weathering of Concave Rock Using Curvature EstimationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2009.3916:1(81-94)Online publication date: 1-Jan-2010
https://dl.acm.org/doi/10.1109/TVCG.2009.39
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.

Media

Figures

Other

Tables

View Table of Contents