Natural Visual Perception for (Augmented Reality Workstations

本研究的目的是提供一种增强现实(AR)工作站的自然视觉感知的方法，该方法便于虚拟机械系统的直观装配。工业中使用的常见AR工作站在大的2D屏幕或监视器上呈现叠加在物理夹具或部件的视频上的虚拟部件的单视角可视化。虽然相对便宜且易于部署，但这些显示器提供的单视可视化不能支持用户的S自然视觉，这是双目的，因此是立体感知的。尽管它们有好处，但这些第一代工业AR系统并不提供自然的视觉界面。众所周知，自然交互增强了装配训练任务。本文提出的研究通过开发一种在2D工作站上模拟视觉线索的方法来解决第一代工业AR系统的这些不足。因此，用户将获得逼真的虚拟部件的三维感知。将引入两种新的方法：1)AR应用程序的视点相关渲染，2)深度线索的模拟，以显著增强AR应用程序中桌面渲染的视觉感受。作为一个应用领域，虚拟装配已经被选中。假设深度线索的模拟和依赖于视图的伪像的添加将提高组装过程，包括其准确性和速度。

Objective of this research is a method to enable natural visual perception for Augmented Reality (AR) workstations that facilitates intuitive assembly of virtual mechanical systems. Common AR workstations that are in use in industry present a monoscopic visualization of virtual parts, superimposed on video of physical fixtures or parts, on a large 2D screen or monitor. Although relatively inexpensive and easy to deploy, the monoscopic visualization afforded by these displays cannot support the user¿s natural vision, which is binocular and thus perceived stereoscopically. Despite their benefits, these first-generation industrial AR systems do not provide a natural visual interface. It is well known that natural interaction enhances assembly training tasks. The research proposed here addresses these deficiencies of first generation industrial AR systems by developing a method to simulate visual cues in a 2D workstation. Thus, the user will get a realistic three-dimensional perception of virtual parts. Two new methods will be introduced: 1) view-dependent rendering for AR applications, and 2) simulation of depth cues, to substantially enhance visual perception in desktop rendering in AR applications. As an application field, virtual assembly has been chosen. The hypothesis is that the simulation of depth cues and the addition of the view-depended artifacts will enhance the assembly process, including its accuracy and speed.