Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates

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dc.contributor.authorGupta, Aryamanen_US
dc.contributor.authorIncardona, Pietroen_US
dc.contributor.authorBrock, Antonen_US
dc.contributor.authorReina, Guidoen_US
dc.contributor.authorFrey, Steffenen_US
dc.contributor.authorGumhold, Stefanen_US
dc.contributor.authorGünther, Ulriken_US
dc.contributor.authorSbalzarini, Ivo F.en_US
dc.contributor.editorBujack, Roxanaen_US
dc.contributor.editorPugmire, Daviden_US
dc.contributor.editorReina, Guidoen_US
dc.date.accessioned2023-06-10T05:52:15Z
dc.date.available2023-06-10T05:52:15Z
dc.date.issued2023
dc.description.abstractWe present a parallel compositing algorithm for Volumetric Depth Images (VDIs) of large three-dimensional volume data. Large distributed volume data are routinely produced in both numerical simulations and experiments, yet it remains challenging to visualize them at smooth, interactive frame rates. VDIs are view-dependent piecewise constant representations of volume data that offer a potential solution. They are more compact and less expensive to render than the original data. So far, however, there is no method for generating VDIs from distributed data. We propose an algorithm that enables this by sort-last parallel generation and compositing of VDIs with automatically chosen content-adaptive parameters. The resulting composited VDI can then be streamed for remote display, providing responsive visualization of large, distributed volume data.en_US
dc.description.sectionheadersSecond Session
dc.description.seriesinformationEurographics Symposium on Parallel Graphics and Visualization
dc.identifier.doi10.2312/pgv.20231082
dc.identifier.isbn978-3-03868-215-8
dc.identifier.issn1727-348X
dc.identifier.pages25-35
dc.identifier.pages11 pages
dc.identifier.urihttps://doi.org/10.2312/pgv.20231082
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pgv20231082
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCCS Concepts: Computing methodologies -> Distributed algorithms; Rendering; Human-centered computing -> Visualization techniques
dc.subjectComputing methodologies
dc.subjectDistributed algorithms
dc.subjectRendering
dc.subjectHuman centered computing
dc.subjectVisualization techniques
dc.titleParallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Ratesen_US
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EGPGV23: Eurographics Symposium on Parallel Graphics and Visualization