JOURNAL ARTICLE

Latency aware foveated rendering in unreal engine 4

Abstract

The human visual system is often assumed to be perfect despite limita- tions arising from a variety of different complexities and phenomena. Yet real-time rendering still operates on the assumption that a single render will be fully appreciated at any single point in time. With the increasing use of 4K-8K UHD displays and the push towards higher pixel densi- ties for head-mounted displays, the industry is pressured to meet market demands for intensive real-time rendering. The adoption of perceptually lossless rendering methods has never seemed more appropriate. A review of prior psychophysical and perceptual rendering literature suggests that perceptually lossless rendering, in which lossy renders are indistinguishable from their non-degraded counterparts, is a definite pos- sibility. Typically, perceptual rendering methods employ foveation, in which the region corresponding to the central field of view is rendered with higher fidelity than the region corresponding to the periphery. In this study, we contribute a straightforward foveated rendering method in Unreal Engine 4 (UE4) in order to gather insights on what may be holding back the adoption of these methods at a commercial level. Additionally, we contribute a conservative metric for calculating the foveal region size in the presence of system latency.

Keywords:
Rendering (computer graphics) Computer science Foveal Real-time rendering Latency (audio) Software rendering Computer graphics (images) Computer vision Artificial intelligence Graphics

Metrics

7
Cited By
0.63
FWCI (Field Weighted Citation Impact)
2
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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