Bibtex:Maidi05
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| 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 | 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.} | 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.} | ||
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| </bibtex> | </bibtex> | ||
Version du 12 avril 2010 à 18:17
M. Maidi, F.Ababsa, M. Mallem - Vision-Inertial System Calibration for Tracking in Augmented Reality
