ACM SIGGRAPH 2009 Papers 2009
DOI: 10.1145/1576246.1531400
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Adaptive global visibility sampling

Abstract: In this paper we propose a global visibility algorithm which computes from-region visibility for all view cells simultaneously in a progressive manner. We cast rays to sample visibility interactions and use the information carried by a ray for all view cells it intersects. The main contribution of the paper is a set of adaptive sampling strategies based on ray mutations that exploit the spatial coherence of visibility. Our method achieves more than an order of magnitude speedup compared to per-view cell sampli… Show more

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Cited by 14 publications
(13 citation statements)
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References 27 publications
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“…Similar to from-point visibility, the sampling in from-region algorithms introduces spatial aliasing. In this case, the primitive D is marked as hidden even though there exists at least one ray from the view-region that reaches the primitive D. However, these methods are fast compared to exact and conservative from-region visibility algorithms and can easily be applied to complex models [34,35].…”
Section: From-region Visibilitymentioning
confidence: 99%
“…Similar to from-point visibility, the sampling in from-region algorithms introduces spatial aliasing. In this case, the primitive D is marked as hidden even though there exists at least one ray from the view-region that reaches the primitive D. However, these methods are fast compared to exact and conservative from-region visibility algorithms and can easily be applied to complex models [34,35].…”
Section: From-region Visibilitymentioning
confidence: 99%
“… Comparison of view frustum culling (VFC), view frustum culling and potentially visible sets (VFC+PVS), and online visibility culling using CHC++ [ BMW*09 ]. …”
Section: Applicationsmentioning
confidence: 99%
“…with those queries known before the start of the algorithm. This has been tested with a performance gain between 5% and 12% by Bittner et al [BMW*09], although the results depended strongly on the architecture and the compiler.…”
Section: Latency‐aware Motivated Modificationsmentioning
confidence: 99%