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Modeling waves and surf

Author:

Darwyn R. PeacheyAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 20, Issue 4

Pages 65 - 74

https://doi.org/10.1145/15886.15893

Published: 31 August 1986 Publication History

Abstract

Although modeling natural phenomena is recognized as one of the greatest challenges of computer graphics, relatively little time has been spent on modeling ocean waves. The model presented in this paper is suitable for the rendering and animation of waves approaching and breaking on a sloping beach. Waveforms consist of a phase function which correctly produces wave refraction and other depth effects, and a wave profile which changes according to wave steepness and water depth. Particle systems are used to model the spray produced by wave breaking and collisions with obstacles. A scanline algorithm for displaying the wave surface is presented, along with a method of integrating separately rendered particle systems with other surfaces. Hidden surface removal for both waves and particles is done using a novel variation of the A-buffer technique. Methods of implementing the model are presented and compared with previous rendering techniques.

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Cited By

Xie XGao YHou FHao AQin H(2024)Dynamic ocean inverse modeling based on differentiable renderingComputational Visual Media10.1007/s41095-023-0338-410:2(279-294)Online publication date: 3-Jan-2024
https://doi.org/10.1007/s41095-023-0338-4
Li FShui YLiang JYang KYu J(2023)Ship-to-ship maritime wireless channel modeling under various sea state conditions based on REL modelFrontiers in Marine Science10.3389/fmars.2023.113428610Online publication date: 24-Feb-2023
https://doi.org/10.3389/fmars.2023.1134286
Terzopoulos DPlatt JBarr AFleischer K(2023)Elastically Deformable ModelsSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596790(747-756)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596790
Show More Cited By

Index Terms

Modeling waves and surf
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Shape modeling
      1. Parametric curve and surface models
      2. Volumetric models
2. Theory of computation
  1. Computational complexity and cryptography
    1. Problems, reductions and completeness
  2. Models of computation
    1. Abstract machines

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Information & Contributors

Information

Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 20, Issue 4

Aug. 1986

300 pages

ISSN:0097-8930

DOI:10.1145/15886

Issue’s Table of Contents

SIGGRAPH '86: Proceedings of the 13th annual conference on Computer graphics and interactive techniques
August 1986
332 pages
ISBN:0897911962
DOI:10.1145/15922
Editors:
David C. Evans,
Russell J. Athay

Copyright © 1986 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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 31 August 1986

Published in SIGGRAPH Volume 20, Issue 4

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Cited By

Xie XGao YHou FHao AQin H(2024)Dynamic ocean inverse modeling based on differentiable renderingComputational Visual Media10.1007/s41095-023-0338-410:2(279-294)Online publication date: 3-Jan-2024
https://doi.org/10.1007/s41095-023-0338-4
Li FShui YLiang JYang KYu J(2023)Ship-to-ship maritime wireless channel modeling under various sea state conditions based on REL modelFrontiers in Marine Science10.3389/fmars.2023.113428610Online publication date: 24-Feb-2023
https://doi.org/10.3389/fmars.2023.1134286
Terzopoulos DPlatt JBarr AFleischer K(2023)Elastically Deformable ModelsSeminal Graphics Papers: Pushing the Boundaries, Volume 210.1145/3596711.3596790(747-756)Online publication date: 1-Aug-2023
https://dl.acm.org/doi/10.1145/3596711.3596790
Jeschke SWojtan C(2023)Generalizing Shallow Water Simulations with Dispersive Surface WavesACM Transactions on Graphics10.1145/359209842:4(1-12)Online publication date: 26-Jul-2023
https://dl.acm.org/doi/10.1145/3592098
Li DZhao ZMa WXue Y(2023)Electromagnetic Scattering Characteristics of Shallow Water Waves Affected by Shoal Modulation2023 International Conference on Microwave and Millimeter Wave Technology (ICMMT)10.1109/ICMMT58241.2023.10276736(1-3)Online publication date: 14-May-2023
https://doi.org/10.1109/ICMMT58241.2023.10276736
Orinaitė UPalevičius PPal MRagulskis M(2022)A deep learning-based approach for automatic detection of concrete cracks below the waterlineVibroengineering Procedia10.21595/vp.2022.2284544(142-148)Online publication date: 25-Aug-2022
https://doi.org/10.21595/vp.2022.22845
Li DZhao Z(2022)Facet-Based Hybrid Method for Electromagnetic Scattering From Shallow Water Waves Modulated by Submarine TopographyIEEE Transactions on Geoscience and Remote Sensing10.1109/TGRS.2022.316499260(1-14)Online publication date: 2022
https://doi.org/10.1109/TGRS.2022.3164992
Li YZhang XCheng LXie MCao K(2022)3D wave simulation based on a deep learning model for spatiotemporal predictionOcean Engineering10.1016/j.oceaneng.2022.112420263(112420)Online publication date: Nov-2022
https://doi.org/10.1016/j.oceaneng.2022.112420
Jeschke SHafner CChentanez NMacklin MMüller-Fischer MWojtan CLevin DKry P(2020)Making procedural water waves boundary-awareProceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation10.1111/cgf.14100(1-8)Online publication date: 6-Oct-2020
https://dl.acm.org/doi/10.1111/cgf.14100
林子(2019)Large Scale Ocean Real-Time Rendering Method Optimized by Tessellation TechnologyComputer Science and Application10.12677/CSA.2019.91225809:12(2323-2329)Online publication date: 2019
https://doi.org/10.12677/CSA.2019.912258
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