Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow

Cuntz, Nicolas; Kolb, Andreas; Strzodka, Robert; Weiskopf, Daniel

doi:10.1111/j.1467-8659.2008.01200.x

Cited by 9 publications

(7 citation statements)

References 26 publications

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“…An alternative approach adopts the concept of level‐set advection to avoid blurring for advected dye. In this approach, the boundary between dye and background is modeled as an interface transported without blur [CKSW08, Wei04].…”

Section: Related Workmentioning

confidence: 99%

Visualization of Advection‐Diffusion in Unsteady Fluid Flow

Karch

Sadlo

Weiskopf

et al. 2012

Computer Graphics Forum

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Advection has been the standard transport mechanism in flow visualization. Diffusion, in contrast, has not been considered important in visual flow field analysis so far, although it is inherent to many physical processes. We present a novel technique that allows for interactive 3D visualization of both advection and diffusion in unsteady fluid flow. We extend texture‐based flow visualization, which is advection‐oriented, by diffusion. Our finite volume approach based on WENO (weighted essentially non‐oscillatory) reconstruction is well parallelizable and features low numerical diffusion at interactive rates. Our scheme contributes to three different applications: (a) high‐quality dye advection at low numerical diffusion, (b) physically‐based dye advection accounting for diffusivity of virtual media, and (c) visualization of advection‐diffusion fluxes in physical media where the velocity field is accompanied by a concentration field. Interactive rendering of the virtual dye is accomplished by ray casting. We apply our GPU implementation to CFD examples of thermal convection and evaporation phenomena.

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Section: Related Workmentioning

confidence: 99%

Visualization of Advection‐Diffusion in Unsteady Fluid Flow

Karch

Sadlo

Weiskopf

et al. 2012

Computer Graphics Forum

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“…More recently, parallel implementations of particle [7] and marker [22] level sets were also proposed. These methods achieve 15 and 24 fps respectively, on full grids of size 128 3 voxels.…”

Section: B Level Set Gpu Methodsmentioning

confidence: 99%

Fast Sparse Level Sets on Graphics Hardware

Jalba

Laan

Roerdink

2013

IEEE Trans. Visual. Comput. Graphics

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Abstract-The level set method is one of the most popular techniques for capturing and tracking deformable interfaces. Although level sets have demonstrated great potential in visualization and computer graphics applications, such as surface editing and physically-based modeling, their use for interactive simulations has been limited due to the high computational demands involved. In this paper we address this computational challenge by leveraging the increased computing power of graphics processors, to achieve fast simulations based on level sets. Our efficient, sparse GPU level set method is substantially faster than other state-of-the-art, parallel approaches on both CPU and GPU hardware. We further investigate its performance through a method for surface reconstruction, based on GPU level sets. Our novel multi-resolution method for surface reconstruction from unorganized point clouds compares favorably with recent, existing techniques and other parallel implementations. Finally, we point out that both level set computations and rendering of level-set surfaces can be performed at interactive rates, even on large volumetric grids. Therefore, many applications based on level sets can benefit from our sparse level set method.

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“…For example, a number of recent contributions have been made to use streak and time surfaces in interactive applications [CKSW08,FBTW10], compute them with high accuracy and surface quality [KGJ09], and to render them in a smoke-like manner to mimic real-world smoke experiments [vFWTS08]. Lacking a readily available differential description, they found their applications only in integration-based methods by means of geometric algorithms for their construction.…”

Section: Introductionmentioning

confidence: 99%

Advected Tangent Curves: A General Scheme for Characteristic Curves of Flow Fields

Weinkauf

Hege

Theisel

2012

Computer Graphics Forum

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We present the first general scheme to describe all four types of characteristic curves of flow fields -stream, path, streak, and time lines -as tangent curves of a derived vector field. Thus, all these lines can be obtained by a simple integration of an autonomous ODE system. Our approach draws on the principal ideas of the recently introduced tangent curve description of streak lines. We provide the first description of time lines as tangent curves of a derived vector field, which could previously only be constructed in a geometric manner. Furthermore, our scheme gives rise to new types of curves. In particular, we introduce advected stream lines as a parameterfree variant of the time line metaphor. With our novel mathematical description of characteristic curves, a large number of feature extraction and analysis tools becomes available for all types of characteristic curves, which were previously only available for stream and path lines. We will highlight some of these possible applications including the computation of time line curvature fields and the extraction of cores of swirling advected stream lines.

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Particle Level Set Advection for the Interactive Visualization of Unsteady 3D Flow

Cited by 9 publications

References 26 publications

Visualization of Advection‐Diffusion in Unsteady Fluid Flow

Visualization of Advection‐Diffusion in Unsteady Fluid Flow

Fast Sparse Level Sets on Graphics Hardware

Advected Tangent Curves: A General Scheme for Characteristic Curves of Flow Fields

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