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dc.contributor.authorPinto, André Susanoen_US
dc.contributor.editorH. P. A. Lensch and S. Seipelen_US
dc.date.accessioned2015-07-09T10:00:46Z
dc.date.available2015-07-09T10:00:46Z
dc.date.issued2010en_US
dc.identifier.urihttp://dx.doi.org/10.2312/egsh.20101051en_US
dc.description.abstractRay tracing is a computationally intensive process, several tree data structures and heuristics have been developed to optimize it. This paper presents a new heuristic in the area, based on collapsing some nodes in order to achieve a smaller expected number of node-tests. Two ways of using this heuristic in Bounding Volume Hierarchies are presented as well as the cost-model used to drive the heuristic development and measure it s efficiency. Some procedures on integrating this heuristic with other optimizations are also discussedRay tracing is a computationally intensive process, several tree data structures and heuristics have been developed to optimize it. This paper presents a new heuristic in the area, based on collapsing some nodes in order to achieve a smaller expected number of node-tests. Two ways of using this heuristic in Bounding Volume Hierarchies are presented as well as the cost-model used to drive the heuristic development and measure it s efficiency. Some procedures on integrating this heuristic with other optimizations are also discusseden_US
dc.publisherThe Eurographics Associationen_US
dc.titleAdaptive Collapsing on Bounding Volume Hierarchies for Ray-Tracingen_US
dc.description.seriesinformationEurographics 2010 - Short Papersen_US
dc.description.sectionheadersRenderingen_US
dc.identifier.doi10.2312/egsh.20101051en_US
dc.identifier.pages73-76en_US


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