Selective Rasterized Ray-traced Reflections on the GPU

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dc.contributor.authorKastrati, Mattias Friden_US
dc.contributor.authorGoswami, Prashanten_US
dc.contributor.editorGiovanni Pintore and Filippo Stancoen_US
dc.date.accessioned2016-10-05T06:27:08Z
dc.date.available2016-10-05T06:27:08Z
dc.date.issued2016
dc.description.abstractRay-tracing achieves impressive effects such as realistic reflections on complex surfaces but is also more computationally expensive than classic rasterization. Rasterized ray-tracing methods can accelerate ray-tracing by taking advantage of the massive parallelization available in the rasterization pipeline on the GPU. In this paper, we propose a selective rasterized raytracing method that optimizes the rasterized ray-tracing by selectively allocating computational resources to reflective regions in the image. Our experiments suggest that the method can speed-up the computation by up to 4 times and also reduce the memory footprint by almost 66% without affecting the image quality. We demonstrate the effectiveness of our method using complex scenes and animations.en_US
dc.description.sectionheadersRendering
dc.description.seriesinformationSmart Tools and Apps for Graphics - Eurographics Italian Chapter Conference
dc.identifier.doi10.2312/stag.20161363
dc.identifier.isbn978-3-03868-026-0
dc.identifier.issn-
dc.identifier.pages45-52
dc.identifier.urihttps://doi.org/10.2312/stag.20161363
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/stag20161363
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectDisplay Algorithms
dc.titleSelective Rasterized Ray-traced Reflections on the GPUen_US
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