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Online Occlusion Culling

Authors: Gereon Frahling; Jens Krokowski;

Online Occlusion Culling

Abstract

Modern computer graphics systems are able to render sophisticated 3D scenes consisting of millions of polygons. For most camera positions only a small collection of these polygons is visible. We address the problem of occlusion culling, i.e., determine hidden primitives. Aila, Miettinen, and Nordlund suggested to implement a FIFO buffer on graphics cards which is able to delay the polygons before drawing them [2]. When one of the polygons within the buffer is occluded or masked by another polygon arriving later from the application, the rendering engine can drop the occluded one without rendering, saving important rendering time. We introduce a theoretical online model to analyse these problems in theory using competitive analysis. For different cost measures we invent the first competitive algorithms for online occlusion culling. Our implementation shows that these algorithms outperform the FIFO strategy for real 3D scenes as well.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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