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VRST
1997
ACM

Real-time vision-based camera tracking for augmented reality applications

9 years 6 months ago
Real-time vision-based camera tracking for augmented reality applications
Augmented reality deals with the problem of dynamically augmenting or enhancing (images or live video of) the real world with computer generated data (e.g., graphics of virtual objects). This poses two major problems: (a) determining the precise alignment of real and virtual coordinate frames for overlay, and (b) capturing the 3D environment including camera and object motions. The latter is important for interactive augmented reality applications where users can interact with both real and virtual objects. Here we address the problem of accurately tracking the 3D motion of a monocular camera in a known 3D environment and dynamically estimating the 3D camera location. We utilize fully automated landmark-based camera calibration to initialize the motion estimation and employ extended Kalman filter techniques to track landmarks and to estimate the camera location. The implementation of our approach has been proven to be efficient and robust and our system successfully tracks in real-t...
Dieter Koller, Gudrun Klinker, Eric Rose, David E.
Added 07 Aug 2010
Updated 07 Aug 2010
Type Conference
Year 1997
Where VRST
Authors Dieter Koller, Gudrun Klinker, Eric Rose, David E. Breen, Ross T. Whitaker, Mihran Tuceryan
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