Hyperplane Culling for Stochastic Rasterization

dc.contributor.authorMunkberg, Jacoben_US
dc.contributor.authorAkenine-Möller, Tomasen_US
dc.contributor.editorCarlos Andujar and Enrico Puppoen_US
dc.date.accessioned2013-11-08T10:28:52Z
dc.date.available2013-11-08T10:28:52Z
dc.date.issued2012en_US
dc.description.abstractWe present two novel culling tests for rasterization of simultaneous depth of field and motion blur. These tests efficiently reduce the set of xyuvt samples that need to be coverage tested within a screen space tile. The first test finds linear bounds in ut- and vt-space using a separating line algorithm. We also derive a hyperplane in xyuvtspace for each triangle edge, and all samples outside of these planes are culled in our second test. Based on these tests, we present an efficient stochastic rasterizer, which has substantially higher sample test efficiency and lower arithmetic cost than previous tile-based stochastic rasterizers.en_US
dc.description.seriesinformationEurographics 2012 - Short Papersen_US
dc.identifier.issn1017-4656en_US
dc.identifier.urihttps://doi.org/10.2312/conf/EG2012/short/105-108en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Picture/ImageGeneration-Display algorithmsen_US
dc.titleHyperplane Culling for Stochastic Rasterizationen_US
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