Bidirectional Importance Sampling for Unstructured Direct Illumination
| dc.contributor.author | Wang, Rui | en_US |
| dc.contributor.author | Akerlund, Oskar | en_US |
| dc.date.accessioned | 2015-02-23T10:15:30Z | |
| dc.date.available | 2015-02-23T10:15:30Z | |
| dc.date.issued | 2009 | en_US |
| dc.description.abstract | Recent research in bidirectional importance sampling has focused primarily on structured illumination sources such as distant environment maps, while unstructured illumination has received little attention. In this paper, we present a method for bidirectional importance sampling of unstructured illumination, allowing us to use the same method for sampling both distant as well as local/indirect sources. Building upon recent work in [WFA*05], we model complex illumination as a large set of point lights. The subsequent sampling process draws samples only from this point set. We start by constructing a piecewise constant approximation for the lighting using an illumination cut [CPWAP08]. We show that this cut can be used directly for illumination importance sampling. We then use BRDF importance sampling followed by sample counting to update the cut, resulting in a bidirectional distribution that closely approximates the product of the illumination and BRDF. Drawing visibility samples from this new distribution significantly reduces the sampling variance. As a main advance over previous work, our method allows for unstructured sources, including arbitrary local direct lighting and one-bounce of indirect lighting. | en_US |
| dc.description.number | 2 | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 28 | en_US |
| dc.identifier.doi | 10.1111/j.1467-8659.2009.01366.x | en_US |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.pages | 269-278 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2009.01366.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd | en_US |
| dc.title | Bidirectional Importance Sampling for Unstructured Direct Illumination | en_US |