Authors:
Madjid Maidi
;
Fakhr-Eddine Ababsa
and
Malik Mallem
Affiliation:
Complexes Systems Laboratory, University of Evry Val d’Essonne, France
Keyword(s):
Hybrid sensor, tracking system, calibration, computer vision, augmented reality.
Related
Ontology
Subjects/Areas/Topics:
Image Processing
;
Informatics in Control, Automation and Robotics
;
Robotics and Automation
;
Virtual Environment, Virtual and Augmented Reality
;
Vision, Recognition and Reconstruction
Abstract:
High accuracy registration between real and virtual environments is crucial in Augmented Reality (AR) systems. However, when a vision/inertial hybrid tracker is used,such accuracy depends mostly on the calibration procedure to determine transformations between the sensors frames. This calibration allows to project all data in a single reference frame. In this paper, we describe a new calibration method for a hybrid tracking system. It consists on rigidly assembling the hybrid tracker to a 6DOF robot in order to simulate the users head motion while tracking targets in AR environment. Our approach exploits the robot positioning to obtain a high accuracy for the tracker calibration. Experimental results and accuracy analyses are presented and demonstrate our approach effectiveness.