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dc.contributor.authorPlate, Johnen_US
dc.contributor.authorGrundhoefer, Anselmen_US
dc.contributor.authorSchmidt, Benjaminen_US
dc.contributor.authorFroehlich, und Bernden_US
dc.contributor.editorOliver Deussen and Charles Hansen and Daniel Keim and Dietmar Saupeen_US
dc.date.accessioned2014-01-30T07:46:10Z
dc.date.available2014-01-30T07:46:10Z
dc.date.issued2004en_US
dc.identifier.isbn3-905673-07-Xen_US
dc.identifier.issn1727-5296en_US
dc.identifier.urihttp://dx.doi.org/10.2312/VisSym/VisSym04/267-272en_US
dc.description.abstractModern graphics cards support occlusion culling in hardware. We present a three pass algorithm, which makes efficient use of this feature. Our geo-scientific sub-surface data sets consist typically of a set of high resolution height fields, polygonal objects, and volume slices and lenses. For each height field, we compute a low and high resolution version in a pre-process and divide both into sets of corresponding tiles. For each tile and for the polygonal objects, the first rendering pass computes a z-buffer image using the low resolution tiles, the polygonal objects and the non-transparent volume objects. During the second pass, we render the same objects against the z-buffer of the first pass while submitting an occlusion query with each object. The third pass reads this occlusion information back from the graphics hardware and renders only those high resolution objects, for which the corresponding low resolution objects were not completely occluded. To avoid fill rate bottle necks, the first two passes may be rendered to a low resolution window. Our implementation shows frame rate improvements for all test cases while introducing only a small overhead and no or hardly noticeable errors. Our non-conservative approach does not require front to back sorting and it works for dynamic scenes.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleOcclusion Culling for Sub-Surface Models in Geo-Scientific Applicationsen_US
dc.description.seriesinformationEurographics / IEEE VGTC Symposium on Visualizationen_US


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