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Balancing Fusion, Image Depth and Distortion in Stereoscopic Head-Tracked Displays

机译:平衡立体头部跟踪显示器中的融合,图像深度和失真

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摘要

Stereoscopic display is a fundamental part of virtual reality HMD systems and HTD (head-tracked display) systems such as the virtual workbench and the CAVE. A common practice in stereoscopic systems is deliberate incorrect modeling of user eye separation. Underestimating eye separation is frequently necessary for the human visual system to fuse stereo image pairs into single 3D images, while overestimating eye separation enhances image depth. Unfortunately, false eye separation modeling also distorts the perceived 3D image in undesirable ways. This paper makes three fundamental contributions to understanding and controlling this stereo distortion. (1) We analyze the distortion using a new analytic description. This analysis shows that even with perfect head tracking, a user will perceive virtual objects to warp and shift as she moves her head. (2) We present a new technique for counteracting the shearing component of the distortion. (3) We present improved methods for managing image fusion problems for distant objects and for enhancing the depth of flat scenes.
机译:立体显示是虚拟现实HMD系统和HTD(头部跟踪显示)系统(如虚拟工作台和CAVE)的基本部分。立体系统中的常见做法是故意对用户的眼睛分开进行错误的建模。对于人类视觉系统来说,将立体图像对融合为单个3D图像常常需要低估眼间距,而高估眼睛间距会增强图像深度。不幸的是,假眼分离建模还以不希望的方式扭曲了感知到的3D图像。本文为理解和控制这种立体声失真做出了三个基本贡献。 (1)我们使用新的解析描述来分析失真。该分析表明,即使具有完美的头部跟踪功能,用户也会感觉到虚拟对象在移动头部时会发生扭曲和移动。 (2)我们提出了一种新的技术来抵消变形的剪切分量。 (3)我们提出了改进的方法来管理远处物体的图像融合问题并增强平坦场景的深度。

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