This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
The Second IEEE and ACM International Symposium on Mixed and Augmented Reality
Robust Visual Tracking for Non-Instrumented Augmented Reality
Tokyo, Japan
October 07-October 10
ISBN: 0-7695-2006-5
ASCII Text
x 
 
Georg Klein, Tom Drummond, "Robust Visual Tracking for Non-Instrumented Augmented Reality," 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 113, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003.
 
 
BibTex
x
 
@article{ 10.1109/ISMAR.2003.1240694,
author = {Georg Klein and Tom Drummond},
title = {Robust Visual Tracking for Non-Instrumented Augmented Reality},
journal ={2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)},
volume = {0},
year = {2003},
isbn = {0-7695-2006-5},
pages = {113},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISMAR.2003.1240694},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
TI - Robust Visual Tracking for Non-Instrumented Augmented Reality
SN - 0-7695-2006-5
SP
EP
A1 - Georg Klein,
A1 - Tom Drummond,
PY - 2003
KW - null
VL - 0
JA - 2012 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
ER -
 
Georg Klein, University of Cambridge
Tom Drummond, University of Cambridge
This paper presents a robust and flexible framework for augmented reality which does not require instrumenting either the environment or the workpiece. A model-based visual tracking system is combined with with rate gyroscopes to produce a system which can track the rapid camera rotations generated by a head-mounted camera, even if images are substantially degraded by motion blur. This tracking yields estimates of head position at video field rate (50Hz) which are used to align computer-generated graphics on an optical see-through display. Nonlinear optimisation is used for the calibration of display parameters which include a model of optical distortion. Rendered visuals are pre-distorted to correct the optical distortion of the display.
Citation:
Georg Klein, Tom Drummond, "Robust Visual Tracking for Non-Instrumented Augmented Reality," ismar, pp.113, The Second IEEE and ACM International Symposium on Mixed and Augmented Reality, 2003
Usage of this product signifies your acceptance of the Terms of Use.