Modern heuristic techniques for combinatorial problems
Computer graphics (2nd ed. in C): principles and practice
Computer graphics (2nd ed. in C): principles and practice
Registration errors in augmented reality systems
Registration errors in augmented reality systems
Recent Advances in Augmented Reality
IEEE Computer Graphics and Applications
Motion Tracking: No Silver Bullet, but a Respectable Arsenal
IEEE Computer Graphics and Applications
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Skeleton-Based Motion Capture for Robust Reconstruction of Human Motion
CA '00 Proceedings of the Computer Animation
Predicting Accuracy in Pose Estimation for Marker-based Tracking
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Conformal tracking for virtual environments
Conformal tracking for virtual environments
Presence: Teleoperators and Virtual Environments - Special issue: Immersive projection technology
A rigid-body target design methodology for optical pose-tracking systems
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Predicting and estimating the accuracy of n-occular optical tracking systems
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
| Hi-index | 0.00 |
Many tracking systems utilize collections of fiducial markers arranged in rigid configurations, called tracking probes, to determine the pose of objects within an environment. In this paper, we present a technique for designing tracking probes called the Viewpoints Algorithm. The algorithm is generally applicable to tracking systems that use at least three fiduciary marks to determine the pose of an object. The algorithm is used to create a integrated, head-mounted display tracking probe. The predicted accuracy of this probe was 0.032 卤 0.02 degrees in orientation and 0.09 卤 0.07 mm in position. The measured accuracy of the probe was 0.028 卤 0.01 degrees in orientation and 0.11 卤 0.01 mm in position.These results translate to a predicted, static positional overlay error of a virtual object presented at 1m of less than0.5 mm. The algorithm is part of a larger framework for designing tracking probes based upon performance goals and environmental constraints.