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    Voronoi-Based Foveated Volume Rendering

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    Date
    2019
    Author
    Bruder, Valentin ORCID
    Schulz, Christoph ORCID
    Bauer, Ruben
    Frey, Steffen ORCID
    Weiskopf, Daniel ORCID
    Ertl, Thomas ORCID
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    Abstract
    Foveal vision is located in the center of the field of view with a rich impression of detail and color, whereas peripheral vision occurs on the side with more fuzzy and colorless perception. This visual acuity fall-off can be used to achieve higher frame rates by adapting rendering quality to the human visual system. Volume raycasting has unique characteristics, preventing a direct transfer of many traditional foveated rendering techniques. We present an approach that utilizes the visual acuity fall-off to accelerate volume rendering based on Linde-Buzo-Gray sampling and natural neighbor interpolation. First, we measure gaze using a stationary 1200 Hz eye-tracking system. Then, we adapt our sampling and reconstruction strategy to that gaze. Finally, we apply a temporal smoothing filter to attenuate undersampling artifacts since peripheral vision is particularly sensitive to contrast changes and movement. Our approach substantially improves rendering performance with barely perceptible changes in visual quality. We demonstrate the usefulness of our approach through performance measurements on various data sets.
    BibTeX
    @inproceedings {10.2312:evs.20191172,
    booktitle = {EuroVis 2019 - Short Papers},
    editor = {Johansson, Jimmy and Sadlo, Filip and Marai, G. Elisabeta},
    title = {{Voronoi-Based Foveated Volume Rendering}},
    author = {Bruder, Valentin and Schulz, Christoph and Bauer, Ruben and Frey, Steffen and Weiskopf, Daniel and Ertl, Thomas},
    year = {2019},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-090-1},
    DOI = {10.2312/evs.20191172}
    }
    URI
    https://doi.org/10.2312/evs.20191172
    https://diglib.eg.org:443/handle/10.2312/evs20191172
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA