Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
CyberCode: designing augmented reality environments with visual tags
DARE '00 Proceedings of DARE 2000 on Designing augmented reality environments
A Flexible New Technique for Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
Marker Tracking and HMD Calibration for a Video-Based Augmented Reality Conferencing System
IWAR '99 Proceedings of the 2nd IEEE and ACM International Workshop on Augmented Reality
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Recently, we have seen a proliferation in research addressing the motion estimation problem and its practical applications based on coplanar point configurations [10,14,12,9,6,7,13]. This paper introduces a new approach where following an estimation of the full projection matrix from non-coplanar points in one reference frame, the system provides better motion estimation results based on coplanar point configurations without estimating the camera intrinsic parameters. The new mathematical framework allows us to directly estimate the rigid transformation between a full projection matrix and a homography. Experimental results compare the accuracy of this and the homography decomposition approach, proposed in [14], in the context of an augmented reality application where three cameras are calibrated for real-time image augmentation.