Title | ||
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Parallel and adaptive visibility sampling for rendering dynamic scenes with spatially varying reflectance. |
Abstract | ||
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Fast rendering of dynamic scenes with natural illumination, all-frequency shadows and spatially varying reflections is important but challenging. One main difficulty brought by moving objects is that the runtime visibility update of dynamic occlusion is usually time-consuming and slow. In this paper, we present a new visibility sampling technique and show that efficient all-frequency rendering of dynamic scenes can be achieved by sampling visibility of dynamic objects in an adaptive and parallel way. First, we propose a two-level adaptive sampling scheme to distribute sample points spatially and compute visibility maps angularly on each sample point. Then, we present a parallel hemispherical distance transform to convert these visibility maps into spherical signed distance fields. Finally, using such a distance-based visibility representation, we integrate our visibility sampling algorithm in the all-frequency rendering framework for scenes with spatially varying BRDFs. With an entire GPU-based implementation, our algorithm enables interactive all-frequency rendering of moderate dynamic scenes with environment lighting and spatially varying reflectance. |
Year | DOI | Venue |
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2014 | 10.1016/j.cag.2013.10.036 | Computers & Graphics |
Keywords | DocType | Volume |
Adaptive visibility sampling,Environmental lighting,Dynamic scenes | Journal | 38 |
Issue | ISSN | Citations |
1 | 0097-8493 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rui Wang | 1 | 489 | 33.21 |
Minghao Pan | 2 | 132 | 6.00 |
Xiang Han | 3 | 0 | 0.34 |
Weifeng Chen | 4 | 15 | 1.79 |
Hujun Bao | 5 | 2801 | 174.65 |