2013
DOI: 10.1002/cav.1526
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Fluid surface reconstruction based on specular reflection model

Abstract: This paper puts forward a hierarchical method of fluid surface modeling in natural landscapes. The proposed method produces a visually plausible surface geometry with the texture from a single video image recorded by a standard video device. In contrast with the conventional physically based fluid simulation, our method computes preliminary results using empirical method and adopts Stokes wave model to obtain the reconstruction result. We illustrate the working of system with a wide range of possible scene, an… Show more

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Cited by 13 publications
(18 citation statements)
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“…Pickup et al [1][2][3] make significant contribution to surface reconstruction from illumination property and reduce the cost of complex computation in fluid reconstruction. To reconstruct accurately fluid surface in real time, Yu et al [4,5] advance the current state of the art and propose a linear solution for it.…”
Section: Related Workmentioning
confidence: 99%
See 3 more Smart Citations
“…Pickup et al [1][2][3] make significant contribution to surface reconstruction from illumination property and reduce the cost of complex computation in fluid reconstruction. To reconstruct accurately fluid surface in real time, Yu et al [4,5] advance the current state of the art and propose a linear solution for it.…”
Section: Related Workmentioning
confidence: 99%
“…Their results are probably not accurate enough and unfit for the driven model recovery. Unlike the previous work based on the normalized geometry [4], we introduce the scale factor S between normalized geometry and non-normalized geometry and further calculate it in the multi-scale framework. Moreover, in the application of obtaining larger or launching a longer desired result, just surface geometry is not enough, and physically based driven model is promising.…”
Section: Introductionmentioning
confidence: 99%
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“…Figure 1 shows the pipeline of our 3D realistic re-simulation algorithm. The detail is as follows: after acquiring geometry from SFS [8], the velocity is calculated from dynamic behavior constrained by SWE, particle density and distribution function in LBMSW model are computed under the constraint of the surface geometry and the velocity. The contrast of density is enhanced to make up its decaying in the auto-advection.…”
Section: Introductionmentioning
confidence: 99%