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    Pixel Cache Light Tracing

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    Date
    2017
    Author
    Jendersie, Johannes
    Rohmer, Kai
    Brüll, Felix
    Grosch, Thorsten
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    Abstract
    In this paper, we introduce Pixel Cache Light Tracing, which is a new low-noise combination of eye-path and light-path tracing. In the first pass, eye-path vertices are distributed from the observer and stored in a hit point map analogous to progressive photon mapping. In the second pass, photons are traced from the light source and projected to the image as well as gathered by the hit point map. We combine the paths from both sampling strategies in a deterministic way without multiple importance sampling, such that the final result is consistent and free from firefly artifacts. In many practical cases, this combination leads to sharper caustics and reduced noise when compared to alternative techniques at equal time. Further, the simplicity of the path combination strategy is predestined for GPU-based implementations and requires less memory than a comparable photon mapping implementation. In addition, we provide a fast, parallel and lean hash map implementation for both photon and hit point queries.
    BibTeX
    @inproceedings {vmv.20171269,
    booktitle = {Vision, Modeling & Visualization},
    editor = {Matthias Hullin and Reinhard Klein and Thomas Schultz and Angela Yao},
    title = {{Pixel Cache Light Tracing}},
    author = {Jendersie, Johannes and Rohmer, Kai and Brüll, Felix and Grosch, Thorsten},
    year = {2017},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-049-9},
    DOI = {10.2312/vmv.20171269}
    }
    URI
    http://dx.doi.org/10.2312/vmv.20171269
    https://diglib.eg.org:443/handle/10.2312/vmv20171269
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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