| Paper title: | Measuring tracking performance of video-based augmented reality systems for design and construction |
| Authors: | Xiangyu Wang |
| Summary: | Recent advances in information and communication technology have brought computer vision tools to support construction and design operations. Video-based see-through Augmented Reality (AR) systems can merge live video streams with computer-generated information. Since video-based AR systems have a digitized image of the real environment, it is possible to detect features in the construction site and use those to enforce registration of computer-generated information onto the user’s real world view of construction site. Factors of sensing devices (e.g., video cam-era) including color tracking, zooming capabilities, focusing modes, and motion tracking could impose inherent delays on the user's real world view. This paper presents a study conducted to investigate those factors and augmentation ca-pability of video camera with reference to real-time streaming. The results assess the effectiveness and efficiency of video camera with motion recognition capabilities, and also the ability to augment the reality. |
| Type: | |
| Year of publication: | 2007 |
| Keywords: | virtual reality, augmented reality, computer vision, robotics, construction site |
| Series: | w78:2007 |
| ISSN: | 2706-6568 |
| Download paper: | /pdfs/w78-2007-067-154-Wang-b.pdf |
| Citation: | Xiangyu Wang (2007). Measuring tracking performance of video-based augmented reality systems for design and construction. 447 (ISSN: 2706-6568), http://itc.scix.net/paper/w78_2007_103 |