Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
A Method for Designing Marker-Based Tracking Probes
ISMAR '04 Proceedings of the 3rd IEEE/ACM International Symposium on Mixed and Augmented Reality
A general method for comparing the expected performance of tracking and motion capture systems
Proceedings of the 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
A Method for Predicting Marker Tracking Error
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Online estimation of the target registration error for n-ocular optical tracking systems
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
| Hi-index | 0.00 |
Tracking is a necessity for interactive virtual environments.Marker-based tracking solutions involve the placementof fiducials in a rigid configuration on the object(s)to be tracked, called a tracking probe. The realization thattracking performance is linked to probe performance necessitatesinvestigation into the design of tracking probes forproponents of marker-based tracking. A challenge involvedwith probe design is predicting the accuracy of a trackingprobe. We present a method for predicting the accuracy of atracking probe based upon a first-order propagation of theerrors associated with the markers on the probe. Resultsfor two sample tracking probes show excellent agreementbetween measured and predicted errors.