Synthesizing waves from animated height fields

Nielsen, Mogens Gissel; Söderström, Andreas; Bridson, Robert

doi:10.1145/2421636.2421638

Cited by 26 publications

(16 citation statements)

References 29 publications

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“…Others use waves as boundary conditions, guide shapes [Nielsen and Bridson 2011;SideFX 2013], or texture maps to approximate additional details in more general fluid simulations [Chentanez and Müller 2010]. Researchers have also customized waves with artistic data [Nielsen et al 2013]. These extensions are important for increasing visual realism and can easily be used with our model as well.…”

Section: Ocean Animation Literaturementioning

confidence: 99%

Water Wave Animation via Wavefront Parameter Interpolation

Jeschke

Wojtan

2015

ACM Trans. Graph.

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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.

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Section: Ocean Animation Literaturementioning

confidence: 99%

Water Wave Animation via Wavefront Parameter Interpolation

Jeschke

Wojtan

2015

ACM Trans. Graph.

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“…• the method using the Jacobian determinant to test wave breaking suffers from temporal instability [46].…”

Section: Whitecap Renderingmentioning

confidence: 99%

Ocean Wave Rendering with Whitecap in the Visual System of a Maritime Simulator

Chen

Yin

2017

CIT

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The whitecap is an important oceanographic phenomenon. However, existing whitecap rendering methods do not successfully generate realistic whitecaps. To solve this problem, this paper presents a real-time whitecap rendering method applied to the visual system of a maritime simulator. The method takes the vertical acceleration on the wave crest as the criterion of whitecap generation. The Fourier coefficient of the vertical acceleration is provided, and a continuous mathematical model computing the whitecap coverage is built. The vertical acceleration is the variable of the model. The lifetime of the whitecap's existence can be controlled by the parameter of the model, and the parameter is computed with the genetic algorithm. The average of the computed whitecap coverage is equal to the whitecap coverage computed by the stochastic method and is close to the whitecap coverage computed by the empirical formula. The whitecap coverage is used as the blending factor to blend the pixel color of the whitecap texture and that of the sea surface. The presented method has sound theoretical support, with small computational complexity. The rendered whitecap is closer to the description of the Beaufort wind force scale than before.

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“…The aim of our method is closely related to fluid guiding approaches, whose goal it is to influence the outcome of a simulation with respect to external, and often non-physical goals. While early works in this area have mostly focused on guiding shapes [Shi and Yu 2005;Thuerey et al 2006], recent techniques have introduced more subtle techniques [Pan et al 2013;Nielsen et al 2013] that are highly relevant for practical applications. Overall, the aim of these methods differs from our approach: they typically take a single goal surface as input, and then refine or modify the result of a new simulation w.r.t.…”

Section: Related Workmentioning

confidence: 99%

Interpolations of Smoke and Liquid Simulations

Thuerey

2016

ACM Trans. Graph.

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We present a novel method to interpolate smoke and liquid simulations in order to perform data-driven fluid simulations. Our approach calculates a dense space-time deformation using grid-based signed-distance functions of the inputs. A key advantage of this implicit Eulerian representation is that it allows us to use powerful techniques from the optical flow area. We employ a five-dimensional optical flow solve. In combination with a projection algorithm, and residual iterations, we achieve a robust matching of the inputs. Once the match is computed, arbitrary in between variants can be created very efficiently. To concatenate multiple long-range deformations, we propose a novel alignment technique. Our approach has numerous advantages, including automatic matches without user input, volumetric deformations that can be applied to details around the surface, and the inherent handling of topology changes. As a result, we can interpolate swirling smoke clouds, and splashing liquid simulations. We can even match and interpolate phenomena with fundamentally different physics: a drop of liquid, and a blob of heavy smoke

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Synthesizing waves from animated height fields

Cited by 26 publications

References 29 publications

Water Wave Animation via Wavefront Parameter Interpolation

Water Wave Animation via Wavefront Parameter Interpolation

Ocean Wave Rendering with Whitecap in the Visual System of a Maritime Simulator

Interpolations of Smoke and Liquid Simulations

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