With the recent interest in virtual reality and augmented reality, there is a newfound demand for displays that can provide high resolution with a wide field of view (FOV). However, such displays incur significantly higher costs for rendering the larger number of pixels. This poses the challenge of rendering realistic real-time images that have a wide FOV and high resolution using limited computing resources. The human visual system does not need every pixel to be rendered at a uniformly high quality. Foveated rendering methods provide perceptually high-quality images while reducing computational workload and are becoming a crucial component for large-scale rendering. In this paper, we present key motivations, research directions, and challenges for leveraging the limitations of the human visual system as they relate to foveated rendering. We provide a taxonomy to compare and contrast various foveated techniques based on key factors. We also review aliasing artifacts arising due to foveation methods and discuss several approaches that attempt to mitigate such effects. Finally, we present several open problems and possible future research directions that can further reduce computational costs while generating perceptually high-quality renderings.
翻译:由于最近对虚拟现实的兴趣和对扩大现实的兴趣,出现了对能够以广泛视野提供高分辨率的显示的新的需求。然而,这些显示为制造数量更多的像素,成本要高得多。这提出了如何利用有限的计算资源提供现实的实时图像的挑战,这些图像具有广泛的视野和高分辨率。人类视觉系统不需要每个像素以一致的高质量制作。改造后的投影方法提供了感知质量高的图像,同时减少了计算工作量,并正在成为大规模投影的一个关键组成部分。我们在本文件中介绍了利用人类视觉系统与变形成像有关的局限性的关键动机、研究方向和挑战。我们提供了一种分类学,以比较和对比基于关键因素的各种变形技术。我们还审查了由于变形方法而产生的别具,并讨论了试图减轻这种影响的若干办法。最后,我们提出了一些公开的问题和可能的未来研究方向,可以进一步降低计算成本,同时产生明显的高质量成像。