Adaptive Volumetric Shadow Maps

نویسندگان

  • Marco Salvi
  • Kiril Vidimce
  • Andrew Lauritzen
  • Aaron E. Lefohn
چکیده

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.

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عنوان ژورنال:
  • Comput. Graph. Forum

دوره 29  شماره 

صفحات  -

تاریخ انتشار 2010