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    • 38-Issue 7
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    Seamless Mipmap Filtering for Dual Paraboloid Maps

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    Date
    2019
    Author
    Wang, Zhenni
    Ho, Tze Yui
    Leung, Chi-Sing
    Wong, Eric Wing Ming
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    Abstract
    Dual paraboloid mapping is an approach for environment mapping. Its major advantage is its fast map generation speed. For graphics applications, when filtering is needed, the filtering tool would naturally be mipmapping. However, directly applying mipmapping to dual paraboloid mapping would give us three problems. They are the discontinuity across the dual paraboloid map boundary, the non-uniform sampling problem and the depth testing issue. We propose three approaches to solve these problems. Our approaches are based on some closed form equations derived via theoretical analysis. Using these equations, we modify the coordinates involved during the rendering process. In other words, these problems are handled just by using dual paraboloid maps and mipmaps differently, instead of fundamentally altering their data structures. Consequently, we are fixing the problems without damaging the map generation speed advantage. Applying all three approaches, we improve the rendering quality of dual paraboloid map mipmaps to a level equivalent to that of cubemap mipmaps, while preserving its fast map generation speed advantage. This gives dual paraboloid map mipmaps the potential to be a better choice than cubemap mipmaps for the devices with less computational power. The effectiveness and the efficiency of the proposed approaches are demonstrated using a glossy reflection application and an omnidirectional soft shadow generation application.
    BibTeX
    @article {10.1111:cgf.13850,
    journal = {Computer Graphics Forum},
    title = {{Seamless Mipmap Filtering for Dual Paraboloid Maps}},
    author = {Wang, Zhenni and Ho, Tze Yui and Leung, Chi-Sing and Wong, Eric Wing Ming},
    year = {2019},
    publisher = {The Eurographics Association and John Wiley & Sons Ltd.},
    ISSN = {1467-8659},
    DOI = {10.1111/cgf.13850}
    }
    URI
    https://doi.org/10.1111/cgf.13850
    https://diglib.eg.org:443/handle/10.1111/cgf13850
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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