Title :
A tracker alignment framework for augmented reality
Author :
Baillot, Yohan ; Julier, Simon J. ; Brown, Dennis ; Livingston, Mark A.
Author_Institution :
ITT Adv. Eng. & Sci., Alexandria, VA, USA
Abstract :
To achieve accurate registration, the transformations which locate the tracking system components with respect to the environment must be known. These transformations relate the base of the tracking system to the virtual world and the tracking system´s sensor to the graphics display. In this paper we present a unified, general calibration method for calculating these transformations. A user is asked to align the display with objects in the real world. Using this method, the sensor to display and tracker base to world transformations can be determined with as few as three measurements.
Keywords :
augmented reality; computer vision; image registration; optical tracking; accurate registration; augmented reality; calibration method; graphics display; motion capture; tracker alignment framework; tracking system components; tracking system sensor; transformations; virtual world; Augmented reality; Calibration; Displays; Distortion measurement; Graphics; Magnetic field measurement; Magnetic heads; Optical distortion; Sensor systems; Tracking;
Conference_Titel :
Mixed and Augmented Reality, 2003. Proceedings. The Second IEEE and ACM International Symposium on
Print_ISBN :
0-7695-2006-5
DOI :
10.1109/ISMAR.2003.1240697
