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Depth Perception and Spatial Vision01:15

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Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
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在扩展现实中测量眼睛角.

Mohammed Safayet Arefin1, John Edward Swan Ii2, Russell Cohen Hoffing3

  • 1Department of Computer Science, Colorado State University, Fort Collins, Colorado, United States of America.

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概括

扩展现实 (XR) 中的眼界角 (EVA) 准确地反映了真实,增强 (AR) 和虚拟 (VR) 环境中的目标深度. 个人存在差异,但EVA提供了可靠的深度提示与主观判断相比.

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科学领域:

  • 人与计算机的交互
  • 计算机视觉 计算机视觉
  • 感知科学 感知科学 感知科学

背景情况:

  • 扩展现实 (XR) 技术,包括增强现实 (AR) 和虚拟现实 (VR),正在越来越多地纳入眼睛跟踪.
  • 视角角 (EVA) 随视距自然调整,是深度感知的一个关键指标.
  • 在XR中理解EVA对于开发直观和沉浸式用户体验至关重要.

研究的目的:

  • 为了研究如何在现实,AR和VR环境中在不同深度观看物体时,眼睛的角 (EVA) 变化.
  • 评估EVA作为XR设置中的深度提示的稳定性和可靠性.
  • 将EVA的真实性与主观的深度判断进行比较.

主要方法:

  • 对13名参与者进行了一项重复测量研究.
  • 参与者在三个环境中固定在不同距离的目标上:现实世界对象,AR虚拟对象和VR虚拟对象.
  • 在这些固定过程中测量了眼睛角 (EVA).

主要成果:

  • 观察到目标深度的显著主要效应,对于更接近的目标,EVA增加.
  • 在基线EVA中发现了一致的个体差异.
  • 检测到环境 (真实,AR,VR) 对EVA的主要影响具有统计学意义,尽管较小.
  • 无论之前的固定深度或点变化方向 (融合/分歧),EVA都保持稳定.

结论:

  • 眼界角 (EVA) 是一个可靠的指标的目标深度在现实,AR和VR环境.
  • 虽然基线EVA存在个体差异,但EVA和深度之间的关系是一致的.
  • 在XR环境中,EVA提供了比主观口头判断更准确的深度估计.