A self-tracking augmented reality system
Ulrich Neumann, Youngkwan Cho · 1996
We present a color-video-based augmented reality (AR) system that is designed to be self-tracking that is, it requires no separate tracking subsystem. Rather, tracking is performed strictly from the video images acquired through the lens of the camera also used to view the real world. The methods for tracking are rooted in prior research in photogrammetry and computer vision. This approach to tracking for AR systems enables a variety of new applications in assembly guidance that are not feasible with current AR technology. Our initial application is in aircraft manufacturing. We outline our approaches to feature detection, correspondence, pose determination, and system calibration. The results obtained thus far are summarized along with the problems we encountered.