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Proceedings Paper

Vision-based hybrid tracking scheme for accurate registration in AR system
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Paper Abstract

Nowadays one of the key problems that influence the performance of an AR (Augmented Reality) system is the registration error. It is common that in the current AR systems a virtual object appears to swim about as the user moves, and often does not appear to rest at the same location when viewed from different directions. In order to provide a stable tracking result for our AR application, a hybrid tracking scheme that combines the robustness of the magnetic tracking and the static accuracy of the vision based tracking is developed. The principle of the vision-based tracking is presented and the tracking accuracy of the rotation angle is studied. A magnetic tracker composed of magnetoresistive sensors and accelerometers is proposed to compensate the shortcomings of the vision-based tracking. The algorithm to calculate the position and orientation of the tracked object by combining the calculation result of the magnetic tracking and the vision-based tracking is analyzed. The setup and the experimental results of the proposed AR system are given. The results validate the feasibility of the proposed AR system.

Paper Details

Date Published: 16 September 2002
PDF: 9 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483227
Show Author Affiliations
Yue Liu, Beijing Institute of Technology (China)
Yongtian Wang, Beijing Institute of Technology (China)
Jing Chen, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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