Real-time augmented reality system for industrial tele-training

Pierre Boulanger; Nicolas D. Georganas; Xiaowei Zhong; Peiran Liu

doi:10.1117/12.473350

10 January 2003 A Real-Time Augmented Reality System for Industrial Tele-Training

Pierre Boulanger, Nicolas D. Georganas, Xiaowei Zhong, Peiran Liu

Proceedings Volume 5013, Videometrics VII; (2003) https://doi.org/10.1117/12.473350
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Augmented Reality (AR) is a departure from standard virtual reality in a sense that it allows users to see computer generated virtual objects superimposed over the real world through the use of see-through head-mounted display. Users of such system can interact in the real/virtual world using additional information, such as 3D virtual models and instructions on how to perform these tasks in the form of video clips, annotations, speech instructions, and images. In this paper, we describe two prototypes of a collaborative industrial Tele-training system. The distributed aspect of this system will enables users on remote sites to collaborate on training tasks by sharing the view of the local user equipped with a wearable computer. The users can interactively manipulate virtual objects that substitute real objects allowing the trainee to try out and discuss the various tasks that needs to be performed. A new technique for identifying real world objects and estimating their coordinates in 3D space is introduced. The method is based on a computer vision technique capable of identifying and locating Binary Square Markers identifying each information stations. Experimental results are presented.

Citation Download Citation

Pierre Boulanger, Nicolas D. Georganas, Xiaowei Zhong, and Peiran Liu "A Real-Time Augmented Reality System for Industrial Tele-Training", Proc. SPIE 5013, Videometrics VII, (10 January 2003); https://doi.org/10.1117/12.473350

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