Paper
16 September 2002 Vision-based hybrid tracking scheme for accurate registration in AR system
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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.
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Yue Liu, Yongtian Wang, and Jing Chen "Vision-based hybrid tracking scheme for accurate registration in AR system", Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); https://doi.org/10.1117/12.483227
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KEYWORDS
Magnetic tracking

Magnetism

Imaging systems

Cameras

Autoregressive models

CCD cameras

Magnetic sensors

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