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
Link To Document :
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