Extending Augmented Reality with Natural Feature Tracking
نویسندگان
چکیده
In traditional vision-based Augmented Reality tracking systems, artificially-designed fiducials (or landmarks) have been used as camera tracking primitives. The 3D positions of these fiducials should be pre-calibrated, which imposes limitations in ranges of tracking view. Fortunately, the advance of computer vision technologies combined with new point position estimation technology enable natural features to be detected, tracked, and calibrated to be used as camera tracking primitives. This paper describes how these technologies are used to track in an unprepared environment for Augmented Reality.
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تاریخ انتشار 2003