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Natural Visual Perception for (Augmented Reality Workstations

（增强现实工作站的自然视觉感知

基本信息

批准号：
221444426
负责人：
Dr.-Ing. Rafael Radkowski
金额：
--
依托单位：
Fachgruppe Strategische Produktplanung und Systems Engineering
依托单位国家：
德国
项目类别：
Research Fellowships
财政年份：
2012
资助国家：
德国
起止时间：
2011-12-31 至 2013-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/221444426?language=en
关键词：
Natural Visual Perception Augmented Reality

项目摘要

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.

本研究的目的是一种方法，使自然的视觉感知增强现实（AR）工作站，促进直观的虚拟机械系统的装配。在工业中使用的常见AR工作站在大型2D屏幕或监视器上呈现虚拟部件的单视场可视化，叠加在物理固定装置或部件的视频上。虽然相对便宜且易于部署，但由这些显示器提供的单视场可视化不能支持用户的自然视觉，该自然视觉是双目的并且因此被立体地感知。尽管这些第一代工业AR系统有很多好处，但它们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工作站中模拟视觉线索的方法来解决第一代工业AR系统的这些缺陷。这样，用户将获得虚拟零件的逼真三维感知。将引入两种新方法：1）AR应用程序的视图相关渲染，以及2）深度提示的模拟，以大幅增强AR应用程序中桌面渲染的视觉感知。作为一个应用领域，虚拟装配已被选定。我们的假设是，模拟的深度线索和视图依赖的文物的添加将提高组装过程，包括其准确性和速度。