Convolution shadow maps

Authors:
Thomas Annen;Tom Mertens;Philippe Bekaert;Hans-Peter Seidel;Jan Kautz
Affiliations:
MPI Informatik, Germany;Hasselt University, EDM transationale Universiteit Limburg, Belgium;Hasselt University, EDM transationale Universiteit Limburg, Belgium;MPI Informatik, Germany;University College London, UK
Venue:
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Year:
2007

Citing 18
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Abstract

We present Convolution Shadow Maps, a novel shadow representation that affords efficient arbitrary linear filtering of shadows. Traditional shadow mapping is inherently non-linear w.r.t. the stored depth values, due to the binary shadow test. We linearize the problem by approximating shadow test as a weighted summation of basis terms. We demonstrate the usefulness of this representation, and show that hardware-accelerated anti-aliasing techniques, such as tri-linear filtering, can be applied naturally to Convolution Shadow Maps. Our approach can be implemented very efficiently in current generation graphics hardware, and offers real-time frame rates.