Title
Parallel and adaptive visibility sampling for rendering dynamic scenes with spatially varying reflectance.
Abstract
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
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 Wang148933.21
Minghao Pan21326.00
Xiang Han300.34
Weifeng Chen4151.79
Hujun Bao52801174.65