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User, Metric, and Computational Evaluation of Foveated Rendering Methods


Reference:

Swafford, N., Iglesias_Guitian, J. A., Koniaris, C., Moon, B., Cosker, D. and Mitchell, K., 2016. User, Metric, and Computational Evaluation of Foveated Rendering Methods. ACM, pp. 7-14.

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    Abstract

    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.

    Details

    Item Type Conference or Workshop Items (UNSPECIFIED)
    CreatorsSwafford, N., Iglesias_Guitian, J. A., Koniaris, C., Moon, B., Cosker, D. and Mitchell, K.
    DOI10.1145/2931002.2931011
    DepartmentsFaculty of Science > Computer Science
    Research CentresEPSRC Centre for Doctoral Training in Statistical Mathematics (SAMBa)
    StatusPublished
    ID Code51276

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