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Visual simulation of clouds

Author:

Geoffrey Y. GardnerAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 19, Issue 3

Pages 297 - 304

https://doi.org/10.1145/325165.325248

Published: 01 July 1985 Publication History

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Abstract

Clouds present serious problems to standard computer image generation techniques because clouds do not have well-defined surfaces and boundaries. In addition, clouds contain varying degrees of translucence, and their amorphous structure can change with time. Although several approaches to cloud simulation have produced impressive results, they have relied on complex mathematical models which produce high computation costs for a single image.This paper describes a new approach to cloud simulation using simple planar and curved surfaces whose surface shading and translucence are modulated by a mathematical texturing function. This approach represents the appearance of clouds with enough realism for a wide range of visual simulation but does so at a reasonable computational cost, allowing the generation of sequences of images on small minicomputers. In addition, the cloud model can be constructed in a straightforward manner.

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Cited By

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Cheraghalizadeh JLuković MNajafi M(2024)Simulating cumulus clouds based on self-organized criticalityPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2024.129553636(129553)Online publication date: Feb-2024
https://doi.org/10.1016/j.physa.2024.129553
Larsson MIjiri TYoshida HHuber JFredriksson MBroman OIgarashi T(2022)Procedural texturing of solid wood with knotsACM Transactions on Graphics10.1145/3528223.353008141:4(1-10)Online publication date: 22-Jul-2022
https://dl.acm.org/doi/10.1145/3528223.3530081
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
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Visual simulation of clouds

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Information

Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 19, Issue 3

Jul. 1985

305 pages

ISSN:0097-8930

DOI:10.1145/325165

Editors:
Brian A. Barsky
Univ. of California, Berkely, Berkely
,
John C. Beatty
Univ. of Waterloo, Waterloo, Ont., Canada

Issue’s Table of Contents

SIGGRAPH '85: Proceedings of the 12th annual conference on Computer graphics and interactive techniques
July 1985
332 pages
ISBN:0897911660
DOI:10.1145/325334
Chairmen:
Pat Cole
Hewlett-Packard, Palo alto, CA
,
Robert Heilman
Gould Inc., Campbell, CA
,
Brian A. Barsky
Univ. of California, Berkely, Berkely

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1985

Published in SIGGRAPH Volume 19, Issue 3

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Cheraghalizadeh JLuković MNajafi M(2024)Simulating cumulus clouds based on self-organized criticalityPhysica A: Statistical Mechanics and its Applications10.1016/j.physa.2024.129553636(129553)Online publication date: Feb-2024
https://doi.org/10.1016/j.physa.2024.129553
Larsson MIjiri TYoshida HHuber JFredriksson MBroman OIgarashi T(2022)Procedural texturing of solid wood with knotsACM Transactions on Graphics10.1145/3528223.353008141:4(1-10)Online publication date: 22-Jul-2022
https://dl.acm.org/doi/10.1145/3528223.3530081
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
Tao RRen HLiu JXiao F(2022)A Lagrangian vortex method for smoke simulation with two-way fluid–solid couplingComputers & Graphics10.1016/j.cag.2022.08.007107(289-302)Online publication date: Oct-2022
https://doi.org/10.1016/j.cag.2022.08.007
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
Kiourt CTheodoropoulou HKoutsoudis AIoannakis JPavlidis GKalles D(2020)Exploiting Cross-Reality Technologies for Cultural Heritage DisseminationApplying Innovative Technologies in Heritage Science10.4018/978-1-7998-2871-6.ch005(85-108)Online publication date: 2020
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Vimont UGain JLastic MCordonnier GAbiodun BCani M(2020)Interactive Meso‐scale Simulation of SkyscapesComputer Graphics Forum10.1111/cgf.1395439:2(585-596)Online publication date: 13-Jul-2020
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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
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Panin MNikolenko S(2019)Faster RPNN: Rendering Clouds with Latent Space Light ProbesSIGGRAPH Asia 2019 Technical Briefs10.1145/3355088.3365150(21-24)Online publication date: 17-Nov-2019
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Castro MAraújo RCampo-Deaño LOliveira H(2019)Towards Automatic and Robust Particle Tracking in Microrheology StudiesPattern Recognition and Image Analysis10.1007/978-3-030-31321-0_44(508-519)Online publication date: 1-Jul-2019
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