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    Stochastic Soft Shadow Mapping

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    v34i4pp001-011.pdf (28.19Mb)
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    Date
    2015
    Author
    Liktor, Gabor
    Spassov, Stanislav
    Mückl, Gregor
    Dachsbacher, Carsten
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    Abstract
    In this paper, we extend the concept of pre-filtered shadow mapping to stochastic rasterization, enabling real-time rendering of soft shadows from planar area lights. Most existing soft shadow mapping methods lose important visibility information by relying on pinhole renderings from an area light source, providing plausible results only for small light sources. Since we sample the entire 4D shadow light field stochastically, we are able to closely approximate shadows of large area lights as well. In order to efficiently reconstruct smooth shadows from this sparse data, we exploit the analogy of soft shadow computation to rendering defocus blur, and introduce a multiplane pre-filtering algorithm. We demonstrate how existing pre-filterable approximations of the visibility function, such as variance shadow mapping, can be extended to four dimensions within our framework.
    BibTeX
    @article {10.1111:cgf.12673,
    journal = {Computer Graphics Forum},
    title = {{Stochastic Soft Shadow Mapping}},
    author = {Liktor, Gabor and Spassov, Stanislav and Mückl, Gregor and Dachsbacher, Carsten},
    year = {2015},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    DOI = {10.1111/cgf.12673}
    }
    URI
    http://dx.doi.org/10.1111/cgf.12673
    Collections
    • 34-Issue 4
    • EGSR15: 26th Eurographics Symposium on Rendering

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