More Web Proxy on the site http://driver.im/

research-article

Feedback control of cumuliform cloud formation based on computational fluid dynamics

Authors:

Yoshinori Dobashi,

Katsutoshi Kusumoto,

Tomoyuki Nishita,

Tsuyoshi YamamotoAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 27, Issue 3

Pages 1 - 8

https://doi.org/10.1145/1360612.1360693

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

Satilmis PBashford-Rogers T(2025)A multi-timescale image space model for dynamic cloud illuminationComputers & Graphics10.1016/j.cag.2024.104124126(104124)Online publication date: Feb-2025
https://doi.org/10.1016/j.cag.2024.104124
Xie HArihara KSato SMiyata K(2024)DualSmoke: Sketch-based smoke illustration design with two-stage generative modelComputational Visual Media10.1007/s41095-022-0318-010:5(965-979)Online publication date: 8-Feb-2024
https://doi.org/10.1007/s41095-022-0318-0
Zamri MSunar M(2022)Atmospheric cloud modeling methods in computer graphics: A review, trends, taxonomy, and future directionsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2020.11.03034:6(3468-3488)Online publication date: Jun-2022
https://doi.org/10.1016/j.jksuci.2020.11.030
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

Cloud Computing: The Fifth Generation of Computing
CSNT '11: Proceedings of the 2011 International Conference on Communication Systems and Network Technologies

Cloud Computing is the emerging buzzword in Information Technology. It is growing day by day due to its rich features of services. It is a virtual pool of resources which are provided to the users through Internet. Cloud computing is a new flavor of ...
Cloud Computing Adoption: A Short Review of Issues and Challenges
ICEEG '17: Proceedings of the 1st International Conference on E-commerce, E-Business and E-Government

Cloud computing is as a type of hosted services of Information Technology, which can be offered to customers through internet. Clients are able to scale up or down their required services. These services are usually supplied by a third party who provide ...
Cloud Computing: New Wine or Just a New Bottle?

Cloud computing has evolved from previous computing paradigms going back as far to the days of mainframes, but is it really different? Do the explosive new capabilities from cloud computing solve any of the problems left unsolved from three decades ago? ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 27, Issue 3

August 2008

844 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/1360612

Issue’s Table of Contents

Copyright © 2008 ACM.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2008

Published in TOG Volume 27, Issue 3

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

43
Total Citations
View Citations
1,193
Total Downloads

Downloads (Last 12 months)34
Downloads (Last 6 weeks)1

Reflects downloads up to 22 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Satilmis PBashford-Rogers T(2025)A multi-timescale image space model for dynamic cloud illuminationComputers & Graphics10.1016/j.cag.2024.104124126(104124)Online publication date: Feb-2025
https://doi.org/10.1016/j.cag.2024.104124
Xie HArihara KSato SMiyata K(2024)DualSmoke: Sketch-based smoke illustration design with two-stage generative modelComputational Visual Media10.1007/s41095-022-0318-010:5(965-979)Online publication date: 8-Feb-2024
https://doi.org/10.1007/s41095-022-0318-0
Zamri MSunar M(2022)Atmospheric cloud modeling methods in computer graphics: A review, trends, taxonomy, and future directionsJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2020.11.03034:6(3468-3488)Online publication date: Jun-2022
https://doi.org/10.1016/j.jksuci.2020.11.030
Zhang ZCen YZhang FLiang X(2021)Cumulus cloud modeling from images based on VAE-GANVirtual Reality & Intelligent Hardware10.1016/j.vrih.2020.12.0043:2(171-181)Online publication date: Apr-2021
https://doi.org/10.1016/j.vrih.2020.12.004
Goswami P(2021)A survey of modeling, rendering and animation of clouds in computer graphicsThe Visual Computer: International Journal of Computer Graphics10.1007/s00371-020-01953-y37:7(1931-1948)Online publication date: 1-Jul-2021
https://dl.acm.org/doi/10.1007/s00371-020-01953-y
Wang YMcGraw T(2021)Art-Directable Cloud AnimationAdvances in Visual Computing10.1007/978-3-030-90439-5_31(392-399)Online publication date: 4-Oct-2021
https://dl.acm.org/doi/10.1007/978-3-030-90439-5_31
Zhang ZMa YLi YLi FShum HYang BGuo JLiang X(2020)Cumuliform cloud formation control using parameter-predicting convolutional neural networkGraphical Models10.1016/j.gmod.2020.101083111(101083)Online publication date: Sep-2020
https://doi.org/10.1016/j.gmod.2020.101083
Zhang ZLi YYang BLi FLiang X(2020)Target‐driven cloud evolution using position‐based fluidsComputer Animation and Virtual Worlds10.1002/cav.193731:6Online publication date: 6-Sep-2020
https://doi.org/10.1002/cav.1937
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
Webanck ACortial YGuérin EGalin E(2018)Procedural CloudscapesComputer Graphics Forum10.1111/cgf.1337337:2(431-442)Online publication date: 22-May-2018
https://doi.org/10.1111/cgf.13373
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 Article

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Issue’s Table of Contents