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    • 34-Issue 1
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    Filtering Multi‐Layer Shadow Maps for Accurate Soft Shadows

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    Date
    2015
    Author
    Selgrad, K.
    Dachsbacher, C.
    Meyer, Q.
    Stamminger, M.
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    Abstract
    In this paper, we introduce a novel technique for pre‐filtering multi‐layer shadow maps. The occluders in the scene are stored as variable‐length lists of fragments for each texel. We show how this representation can be filtered by progressively merging these lists. In contrast to previous pre‐filtering techniques, our method better captures the distribution of depth values, resulting in a much higher shadow quality for overlapping occluders and occluders with different depths. The pre‐filtered maps are generated and evaluated directly on the GPU, and provide efficient queries for shadow tests with arbitrary filter sizes. Accurate soft shadows are rendered in real‐time even for complex scenes and difficult setups. Our results demonstrate that our pre‐filtered maps are general and particularly scalable.In this paper, we introduce a novel technique for pre‐filtering multi‐layer shadow maps. The occluders in the scene are stored as variable‐length lists of fragments for each texel. We show how this representation can be filtered by progressively merging these lists. In contrast to previous pre‐filtering techniques, our method better captures the distribution of depth values, resulting in a much higher shadow quality for overlapping occluders and occluders with different depths. The pre‐filtered maps are generated and evaluated directly on the GPU, and provide efficient queries for shadow tests with arbitrary filter sizes.
    BibTeX
    @article {10.1111:cgf.12506,
    journal = {Computer Graphics Forum},
    title = {{Filtering Multi‐Layer Shadow Maps for Accurate Soft Shadows}},
    author = {Selgrad, K. and Dachsbacher, C. and Meyer, Q. and Stamminger, M.},
    year = {2015},
    publisher = {Copyright © 2015 The Eurographics Association and John Wiley & Sons Ltd.},
    DOI = {10.1111/cgf.12506}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12506
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