Near Optimal Hierarchical Culling: Performance Driven Use of Hardware Occlusion Queries

dc.contributor.authorGuthe, Michaelen_US
dc.contributor.authorBalázs, Ákosen_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorTomas Akenine-Moeller and Wolfgang Heidrichen_US
dc.date.accessioned2014-01-27T14:55:43Z
dc.date.available2014-01-27T14:55:43Z
dc.date.issued2006en_US
dc.description.abstractThe most efficient general occlusion culling techniques are based on hardware accelerated occlusion queries. Although in many cases these techniques can considerably improve performance, they may still reduce efficiency compared to simple view frustum culling, especially in the case of low depth complexity. This prevented the broad use of occlusion culling in most commercial applications. In this paper we present a new conservative method to solve this problem, where the main idea is to use a statistical model describing the occlusion probability for each occlusion query in order to reduce the number of wasted queries which are the reason for the reduction in rendering speed. We also describe an abstract parameterized model for the graphics hardware performance. The parameters are easily measurable at startup and thus the model can be adapted to the graphics hardware in use. Combining this model with the estimated occlusion probability our method is able to achieve a near optimal scheduling of the occlusion queries. The implementation of the algorithm is straightforward and it can be easily integrated in existing real-time rendering packages based on common hierarchical data structures.en_US
dc.description.seriesinformationSymposium on Renderingen_US
dc.identifier.isbn3-905673-35-5en_US
dc.identifier.issn1727-3463en_US
dc.identifier.urihttps://doi.org/10.2312/EGWR/EGSR06/207-214en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.7 [Computer Graphics]: Hidden line/surface removal I.3.3 [Computer Graphics]: Display algorithmsen_US
dc.titleNear Optimal Hierarchical Culling: Performance Driven Use of Hardware Occlusion Queriesen_US
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