Abstract
A vast amount of soft shadow map algorithms have been presented in recent years. Most use a single sample hard shadow map together with some clever filtering technique to calculate perceptually or even physically plausible soft shadows.
On the other hand there is the class of much slower algorithms that calculate physically correct soft shadows by taking and combining many samples of the light.
In this paper we present a new soft shadow method that combines the benefits of these approaches. It samples the light source over multiple frames instead of a single frame, creating only a single shadow map each frame. Where temporal coherence is low we use spatial filtering to estimate additional samples to create correct and very fast soft shadows.
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Scherzer, D., Schwärzler, M., Mattausch, O., Wimmer, M. (2009). Real-Time Soft Shadows Using Temporal Coherence. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5876. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10520-3_2
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DOI: https://doi.org/10.1007/978-3-642-10520-3_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10519-7
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