Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
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ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
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CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
Proceedings of the 2005 international conference on Augmented tele-existence
Authoring of mixed reality applications including multi-marker calibration for mobile devices
EGVE'04 Proceedings of the Tenth Eurographics conference on Virtual Environments
Real-time free viewpoint from multiple moving cameras
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
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Multimedia Tools and Applications
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If the geometry of a marker is known and camera parameters are available, it is possible to recover a camera pose. The transformation between a camera and a marker is defined relative to the local coordinate system of the marker. This paper proposes a real-time camera tracking method using multiple markers while the camera is allowed to move freely in a 3D space. We utilize multiple markers to improve the accuracy of the pose estimation. We also present a coordinate registration algorithm to obtain a global optimal camera pose from local transformations of multiple markers. For the registration, a reference marker is automatically chosen among multiple markers and the global camera pose is computed using all local transforms weighted by marker detection confidence rates. Experimental results show that the proposed method provides more accurate camera poses than those from other methods.