中心凹渲染：动机、分类和研究方向
Foveated Rendering: Motivation, Taxonomy, and Research Directions
摘要：
随着最近对虚拟现实和增强现实的兴趣，存在对能够提供具有宽视场（FOV）的高分辨率的显示器的新需求。然而，这样的显示器对于渲染更大数量的像素产生显著更高的成本。这提出了使用有限的计算资源渲染具有宽FOV和高分辨率的逼真实时图像的挑战。人类视觉系统不需要以均匀的高质量渲染每个像素。小凹绘制方法在提供高质量图像的同时减少了计算工作量，并且正在成为大规模绘制的重要组成部分。在本文中，我们提出了利用人类视觉系统的局限性，因为它们涉及到中心凹渲染的主要动机，研究方向和挑战。我们提供了一个分类法，比较和对比各种基于关键因素的foveated技术。我们还审查了由于视觉聚焦方法产生的混叠伪影，并讨论了几种试图减轻这种影响的方法。最后，我们提出了几个开放的问题和未来可能的研究方向，可以进一步降低计算成本，同时产生感知高质量的渲染。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
