Water wave animation via wavefront parameter interpolation

Jeschke S, Wojtan C. 2015. Water wave animation via wavefront parameter interpolation. ACM Transactions on Graphics. 34(3), 27.

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Journal Article | Published | English

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Abstract
We present an efficient wavefront tracking algorithm for animating bodies of water that interact with their environment. Our contributions include: a novel wavefront tracking technique that enables dispersion, refraction, reflection, and diffraction in the same simulation; a unique multivalued function interpolation method that enables our simulations to elegantly sidestep the Nyquist limit; a dispersion approximation for efficiently amplifying the number of simulated waves by several orders of magnitude; and additional extensions that allow for time-dependent effects and interactive artistic editing of the resulting animation. Our contributions combine to give us multitudes more wave details than similar algorithms, while maintaining high frame rates and allowing close camera zooms.
Publishing Year
Date Published
2015-04-01
Journal Title
ACM Transactions on Graphics
Volume
34
Issue
3
Article Number
27
IST-REx-ID

Cite this

Jeschke S, Wojtan C. Water wave animation via wavefront parameter interpolation. ACM Transactions on Graphics. 2015;34(3). doi:10.1145/2714572
Jeschke, S., & Wojtan, C. (2015). Water wave animation via wavefront parameter interpolation. ACM Transactions on Graphics. ACM. https://doi.org/10.1145/2714572
Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront Parameter Interpolation.” ACM Transactions on Graphics. ACM, 2015. https://doi.org/10.1145/2714572.
S. Jeschke and C. Wojtan, “Water wave animation via wavefront parameter interpolation,” ACM Transactions on Graphics, vol. 34, no. 3. ACM, 2015.
Jeschke S, Wojtan C. 2015. Water wave animation via wavefront parameter interpolation. ACM Transactions on Graphics. 34(3), 27.
Jeschke, Stefan, and Chris Wojtan. “Water Wave Animation via Wavefront Parameter Interpolation.” ACM Transactions on Graphics, vol. 34, no. 3, 27, ACM, 2015, doi:10.1145/2714572.
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2018-12-12
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