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    A Hardware-Friendly Bilateral Solver Accelerator for Real-Time Virtual Reality Video

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    Date
    2017
    Author
    Mazumdar, Amrita
    Alaghi, Armin
    Barron, Jonathan T.
    Gallup, David
    Ceze, Luis
    Oskin, Mark
    Seitz, Steven M.
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    Abstract
    Rendering 3D-360° VR video from a camera rig is computationintensive and typically performed o ine. In this paper, we target the most time-consuming step of the VR video creation process, high-quality ow estimation with the bilateral solver.We propose a new algorithm, the hardware-friendly bilateral solver, that enables faster runtimes than existing algorithms of similar quality. Our algorithm is easily parallelized, achieving a 4 speedup on CPU and 32 speedup on GPU over a baseline CPU implementation. We also design an FPGA-based hardware accelerator that utilizes reduced-precision computation and the parallelism inherent in our algorithm to achieve further speedups over our CPU and GPU implementations while consuming an order of magnitude less power. e FPGA design's power e ciency enables practical real-time VR video processing at the camera rig or in the cloud.
    BibTeX
    @inproceedings {10.1145:3105762.3105772,
    booktitle = {Eurographics/ ACM SIGGRAPH Symposium on High Performance Graphics},
    editor = {Vlastimil Havran and Karthik Vaiyanathan},
    title = {{A Hardware-Friendly Bilateral Solver Accelerator for Real-Time Virtual Reality Video}},
    author = {Mazumdar, Amrita and Alaghi, Armin and Barron, Jonathan T. and Gallup, David and Ceze, Luis and Oskin, Mark and Seitz, Steven M.},
    year = {2017},
    publisher = {ACM},
    ISSN = {2079-8679},
    ISBN = {978-1-4503-5101-0},
    DOI = {10.1145/3105762.3105772}
    }
    URI
    http://dx.doi.org/10.1145/3105762.3105772
    https://diglib.eg.org:443/handle/10.1145/3105762-3105772
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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