Virtual and augmented reality (VR/AR) displays strive to provide a resolution, framerate and field of view that matches the perceptual capabilities of the human visual system, all while constrained by limited compute budgets and transmission bandwidths of wearable computing systems. Foveated graphics techniques have emerged that could achieve these goals by exploiting the falloff of spatial acuity in the periphery of the visual field. However, considerably less attention has been given to temporal aspects of human vision, which also vary across the retina. This is in part due to the lack of a unified eccentricity-dependent spatio-temporal model of the visual system. Here, we introduce the first such model, experimentally measuring and computationally fitting a model of critical flicker fusion. In this way, our model is unique in enabling the prediction of temporal information that is imperceptible for a certain spatial frequency, eccentricity, and range of luminance levels. We validate our model with an image quality user study, and use it to predict potential bandwidth savings 7x higher than those afforded by current spatial-only foveated models. As such, this work forms the enabling foundation for new temporally foveated graphics techniques.

中文翻译：

---

偏心率时空闪烁融合的感知模型及其在凹面图形中的应用

虚拟和增强现实（VR / AR）显示器力求提供与人类视觉系统的感知能力相匹配的分辨率，帧速率和视场，同时受到有限的计算预算和可穿戴计算系统的传输带宽的限制。通过利用视野边缘的空间敏锐度下降，可以实现这些目标的偏心图形技术已经出现。但是，人们对视觉的时间方面的关注却很少，而在整个视网膜上它们也有所不同。这部分是由于缺乏统一的偏心率依赖的视觉系统时空模型。在这里，我们介绍第一个这样的模型，对临界闪烁融合的模型进行实验测量和计算拟合。这样，我们的模型的独特之处在于，它可以预测对于某些空间频率，偏心率和亮度级别范围无法感知的时间信息。我们通过图像质量用户研究验证了我们的模型，并用它来预测潜在的带宽节省量，这比当前仅空间集中式模型提供的带宽节省量高7倍。这样，这项工作为新的时间上偏心的图形技术奠定了坚实的基础。