||Measuring tracking performance of video-based augmented reality systems for design and construction
||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.
|Year of publication:
||virtual reality, augmented reality, computer vision, robotics, construction site
Xiangyu Wang (2007).
Measuring tracking performance of video-based augmented reality systems for design and construction. 447,