Research Output

User, metric, and computational evaluation of foveated rendering methods

  Perceptually lossless foveated rendering methods exploit human perception by selectively rendering at different quality levels based on eye gaze (at a lower computational cost) while still maintaining the user's perception of a full quality render. We consider three foveated rendering methods and propose practical rules of thumb for each method to achieve significant performance gains in real-time rendering frameworks. Additionally, we contribute a new metric for perceptual foveated rendering quality building on HDR-VDP2 that, unlike traditional metrics, considers the loss of fidelity in peripheral vision by lowering the contrast sensitivity of the model with visual eccentricity based on the Cortical Magnification Factor (CMF). The new metric is parameterized on user-test data generated in this study. Finally, we run our metric on a novel foveated rendering method for real-time immersive 360° content with motion parallax.

  • Date:

    22 July 2016

  • Publication Status:

    Published

  • Publisher

    ACM Press

  • DOI:

    10.1145/2931002.2931011

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006 Special Computer Methods

  • Funders:

    Engineering and Physical Sciences Research Council (EPSRC) and Innovate UK

Citation

Swafford, N. T., Iglesias-Guitian, J. A., Koniaris, C., Moon, B., Cosker, D., & Mitchell, K. (2016). User, metric, and computational evaluation of foveated rendering methods. In SAP '16 Proceedings of the ACM Symposium on Applied Perception

Authors

Keywords

Concepts, computing methodologies, Perception, virtual reality,

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