dc.contributor.author | Klose, Felix | en_US |
dc.contributor.author | Wang, Oliver | en_US |
dc.contributor.author | Bazin, Jean-Charles | en_US |
dc.contributor.author | Magnor, Marcus | en_US |
dc.contributor.author | Sorkine-Hornung, Alexander | en_US |
dc.contributor.editor | David Bommes and Tobias Ritschel and Thomas Schultz | en_US |
dc.date.accessioned | 2015-10-07T05:13:36Z | |
dc.date.available | 2015-10-07T05:13:36Z | |
dc.date.issued | 2015 | en_US |
dc.identifier.isbn | 978-3-905674-95-8 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/vmv.20151264 | en_US |
dc.description.abstract | We 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.publisher | The Eurographics Association | en_US |
dc.subject | I.3.1 [Computer Graphics] | en_US |
dc.subject | Picture/Image Generation | en_US |
dc.subject | I.3.3 [Computer Graphics] | en_US |
dc.subject | Parallel processing | en_US |
dc.title | Efficient GPU Based Sampling for Scene-Space Video Processing | en_US |
dc.description.seriesinformation | Vision, Modeling & Visualization | en_US |
dc.description.sectionheaders | Images and Video | en_US |
dc.identifier.doi | 10.2312/vmv.20151264 | en_US |
dc.identifier.pages | 103-110 | en_US |