Abstract
We introduce adaptive volumetric shadow maps (AVSM), a real-time shadow
algorithm that supports high-quality shadowing from dynamic volumetric
media such as hair and smoke.
The key contribution of AVSM is the introduction of a streaming
simplification algorithm that generates an accurate volumetric
light attenuation function using a small fixed memory footprint.
This compression strategy leads to high performance because the
visibility data can remain in on-chip memory during simplification and can be
efficiently sampled during rendering.
We demonstrate that AVSM compression closely approximates the ground-truth
correct solution and performs competitively to existing real-time rendering
techniques while providing higher quality volumetric shadows.
Citation: Marco Salvi, Kiril Vidimče, Andrew
Lauritzen, and Aaron Lefohn, Adaptive Volumetric Shadow Maps,
In Computer Graphics Forum (Proceedings of EGSR 2010), vol.
29(4), pp. 1289-1296, June 2010.
