DocumentCode
376388
Title
Extendible tracking by line auto-calibration
Author
Jiang, Bolan ; Neumann, Ulrich
Author_Institution
Integrated Media Syst. Center, Univ. of Southern California, CA, USA
fYear
2001
fDate
2001
Firstpage
97
Lastpage
103
Abstract
One of the key requirements for an augmented reality system is a tracking system that determines the user´s viewpoint accurately. Many vision-based tracking systems exhibit limited tracking range due to their dependence on pre-calibrated features. Previous extendible-tracking systems only make use of point features. This paper describes an extendible tracking method that integrates pre-calibrated landmarks and natural line features for camera tracking. Extendible and robust tracking is achieved by dynamically calibrating prior uncalibrated 3D structure of line features. The experimental results indicate the effectiveness of this approach for extending the tracking range and reducing dependence on the prepared environment. (Plus color plates)
Keywords
Kalman filters; augmented reality; calibration; cameras; digital simulation; image sequences; optical tracking; augmented reality system; camera tracking; extendible tracking; line auto-calibration; natural line features; point features; pre-calibrated features; pre-calibrated landmarks; prior uncalibrated 3D structure; robust tracking; tracking range; tracking system; user viewpoint; vision-based tracking systems; Augmented reality; Cameras; Computer graphics; Electrical capacitance tomography; Identity-based encryption; Laboratories; Large-scale systems; Machine vision; Network address translation; Robustness;
fLanguage
English
Publisher
ieee
Conference_Titel
Augmented Reality, 2001. Proceedings. IEEE and ACM International Symposium on
Conference_Location
New York, NY
Print_ISBN
0-7695-1375-1
Type
conf
DOI
10.1109/ISAR.2001.970519
Filename
970519
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