Foveated Rendering: a State-of-the-Art Survey
Lili Wang, Xuehuai Shi, Yi Liu

TL;DR
This survey reviews the evolution and current state of foveated rendering, a technique that improves VR rendering efficiency by leveraging human visual perception to reduce computational load.
Contribution
It introduces a new taxonomy for classifying foveated rendering research and provides a comprehensive overview from 1990 to 2021, highlighting future opportunities.
Findings
Foveated rendering effectively reduces rendering workload.
Perceptual models are crucial for quality-aware foveation.
Integration into existing systems enhances VR performance.
Abstract
Recently, virtual reality (VR) technology has been widely used in medical, military, manufacturing, entertainment, and other fields. These applications must simulate different complex material surfaces, various dynamic objects, and complex physical phenomena, increasing the complexity of VR scenes. Current computing devices cannot efficiently render these complex scenes in real time, and delayed rendering makes the content observed by the user inconsistent with the user's interaction, causing discomfort. Foveated rendering is a promising technique that can accelerate rendering. It takes advantage of human eyes' inherent features and renders different regions with different qualities without sacrificing perceived visual quality. Foveated rendering research has a history of 31 years and is mainly focused on solving the following three problems. The first is to apply perceptual…
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Taxonomy
TopicsVisual Attention and Saliency Detection · Image and Video Quality Assessment · Visual perception and processing mechanisms
