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dc.contributor.authorKlose, Felixen_US
dc.contributor.authorWang, Oliveren_US
dc.contributor.authorBazin, Jean-Charlesen_US
dc.contributor.authorMagnor, Marcusen_US
dc.contributor.authorSorkine-Hornung, Alexanderen_US
dc.contributor.editorDavid Bommes and Tobias Ritschel and Thomas Schultzen_US
dc.date.accessioned2015-10-07T05:13:36Z
dc.date.available2015-10-07T05:13:36Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-95-8en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vmv.20151264en_US
dc.description.abstractWe describe a method to efficiently collect and filter a large set of 2D pixel observations of unstructured 3D points, with applications to scene-space aware video processing. One of the main challenges in scene-space video processing is to achieve reasonable computation time despite the very large volumes of data, often in the order of billions of pixels. The bottleneck is determining a suitable set of candidate samples used to compute each output video pixel color. These samples are observations of the same 3D point, and must be gathered from a large number of candidate pixels, by volumetric 3D queries in scene-space. Our approach takes advantage of the spatial and temporal continuity inherent to video to greatly reduce the candidate set of samples by solving 3D volumetric queries directly on a series of 2D projections, using out-of-core data streaming and an efficient GPU producerconsumer scheme that maximizes hardware utilization by exploiting memory locality. Our system is capable of processing over a trillion pixel samples, enabling various scene-space video processing applications on full HD video output with hundreds of frames and processing times in the order of a few minutes.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.1 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectParallel processingen_US
dc.titleEfficient GPU Based Sampling for Scene-Space Video Processingen_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.description.sectionheadersImages and Videoen_US
dc.identifier.doi10.2312/vmv.20151264en_US
dc.identifier.pages103-110en_US


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    ISBN 978-3-905674-95-8

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