Dichoptic Foveation

2026-09-14

AI Summary

研究通过在虚拟现实中应用单眼模糊和另一眼锐化的方法，测量了自然图像刺激在视场中的频率差异感知，并提出了一个计算模型来改善基础的焦点渲染系统。

Abstract

Interocular differences in visual perception can induce a variety of effects when fused by the brain. For example, prior works have found that carefully crafted binocular differences in local detail can improve contrast. It has also been found that when the frequency content of two stimuli are slightly different, blur suppression leads to a fused percept that is typically dominated by the sharper image. In this paper, we develop a psychophysical framework to measure the perception of natural image stimuli with interocular frequency differences across the visual field. To this end, we study the effect of dichoptic foveation, which we define as the application of blur to one eye and a simultaneous sharpening filter to the other. Stimuli were viewed in a virtual reality (VR) head-mounted display (HMD) and placed at different retinal eccentricities. Study data were scaled to a perceptual just objectionable difference (JOD) scale, and a 4D model was fit to it; our results suggest that interocular frequency differences can be well described by a simple computational model. We applied the model in a realistic VR scenario with free exploration of 360° videos to improve a base foveated rendering system by enhancing high frequency information dichoptically.

Problem

• Dichoptic Foveation
• Interocular Differences
• Visual Perception
• Frequency Content
• Natural Image Stimuli

Innovation

• dichoptic foveation
• interocular frequency differences
• psychophysical framework
• virtual reality
• foveated rendering