Adaptive Volumetric Shadow Maps
Co-authors: Kiril Vidimce, Aaron Lefohn
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 Vidimce, 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.
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