Light-Field DVR on GPU for Streaming Time-Varying Data

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dc.contributor.authorGanter, Daviden_US
dc.contributor.authorAlain, Martinen_US
dc.contributor.authorHardman, Daviden_US
dc.contributor.authorSmolic, Aljosaen_US
dc.contributor.authorManzke, Michaelen_US
dc.contributor.editorFu, Hongbo and Ghosh, Abhijeet and Kopf, Johannesen_US
dc.date.accessioned2018-10-07T14:32:26Z
dc.date.available2018-10-07T14:32:26Z
dc.date.issued2018
dc.description.abstractDirect Volume Rendering (DVR) of volume data can be a memory intensive task in terms of footprint and cache-coherency. Rayguided methods may not be the best option to interactively render to light-fields due to feedback loops and sporadic sampling, and pre-computation can rule out time-varying data. We present a pipelined approach to schedule the rendering of sub-regions of streaming time-varying volume data while minimising intermediate sub-buffers needed, sharing the work load between CPU and GPU. We show there is significant advantage to using such an approach.en_US
dc.description.sectionheadersVisualization and GPU
dc.description.seriesinformationPacific Graphics Short Papers
dc.identifier.doi10.2312/pg.20181283
dc.identifier.isbn978-3-03868-073-4
dc.identifier.pages69-72
dc.identifier.urihttps://doi.org/10.2312/pg.20181283
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/pg20181283
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectRendering
dc.subjectParallel algorithms
dc.subjectGraphics systems and interfaces
dc.titleLight-Field DVR on GPU for Streaming Time-Varying Dataen_US
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