Superior Augmented Reality Registration by Integrating Landmark Tracking and Magnetic Tracking

Andrei State
Gentaro Hirota
David T. Chen
Bill Garrett
Mark Livingston
University of North Carolina at Chapel Hill

Accurate registration between real and virtual objects is crucial for augmented reality applications. Existing tracking methods are individually inadequate: magnetic trackers are inaccurate, mechanical trackers are cumbersome, and vision-based trackers are computationally problematic. We present a hybrid tracking method that combines the accuracy of vision-based tracking with the robustness of magnetic tracking without compromising real-time performance or usability. We demonstrate excellent registration in three sample applications.

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