| Warping and
Partitioning for Low Error Shadow Maps Brandon Lloyd, David Tuft, Sung-Eui Yoon, Dinesh Manocha University of North Carolina at Chapel Hill In Proceedings of the Eurographics Symposium on Rendering 2006
Abstract We evaluate several shadow map algorithms based on warping and partitioning using the maximum perspective aliasing error over the entire view frustum. With respect to our error metric, we show that a range of warping parameters corresponding to several previous warping algorithms have the same error. We also analyze several partitioning schemes to determine which produces the least maximum error using the least number of partitions. Finally, we show how warping and partitioning can be combined for interactive rendering of low error shadows in scenes with a high depth range.
*Note: There seems to be some confusion about the equivalence of warping parameters in terms of storage factor holds for general light positions. For general light positions the derived error equations are no longer valid, and the equivalence no longer holds. Regrettably, the paper can easily be read as implying that the equivalence holds in all cases and is not as clear on this point as it could have been. For warping applied to face partitions, however, the equivalence holds true even for general light positions. |