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dc.contributor.authorPiochowiak, M.en_US
dc.contributor.authorRapp, T.en_US
dc.contributor.authorDachsbacher, C.en_US
dc.contributor.editorBenes, Bedrich and Hauser, Helwigen_US
dc.date.accessioned2021-02-27T19:02:27Z
dc.date.available2021-02-27T19:02:27Z
dc.date.issued2021
dc.identifier.issn1467-8659
dc.identifier.urihttps://doi.org/10.1111/cgf.14121
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf14121
dc.description.abstractIn this paper, we present a novel method for the direct volume rendering of large smoothed‐particle hydrodynamics (SPH) simulation data without transforming the unstructured data to an intermediate representation. By directly visualizing the unstructured particle data, we avoid long preprocessing times and large storage requirements. This enables the visualization of large, time‐dependent, and multivariate data both as a post‐process and in situ. To address the computational complexity, we introduce stochastic volume rendering that considers only a subset of particles at each step during ray marching. The sample probabilities for selecting this subset at each step are thereby determined both in a view‐dependent manner and based on the spatial complexity of the data. Our stochastic volume rendering enables us to scale continuously from a fast, interactive preview to a more accurate volume rendering at higher cost. Lastly, we discuss the visualization of free‐surface and multi‐phase flows by including a multi‐material model with volumetric and surface shading into the stochastic volume rendering.en_US
dc.publisher© 2021 Eurographics ‐ The European Association for Computer Graphics and John Wiley & Sons Ltden_US
dc.subjectvolume visualization
dc.subjectvisualization
dc.subjectvolume rendering
dc.subjectrendering
dc.subjectscientific visualization
dc.subjectvisualization
dc.titleStochastic Volume Rendering of Multi‐Phase SPH Dataen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersArticles
dc.description.volume40
dc.description.number1
dc.identifier.doi10.1111/cgf.14121
dc.identifier.pages97-109


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