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Abstract

We present \emph{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 maps 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. This approach can be implemented very efficiently in current generation graphics hardware yielding real-time frame rates.