Bibtex:Maidi05
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(Différences entre les versions)
| Version du 18 mai 2006 à 14:33 (modifier) Maidi (Discuter | Contributions) ← Différence précédente |
Version actuelle (12 avril 2010 à 19:19) (modifier) (défaire) Maidi (Discuter | Contributions) |
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| pages = {156-162}, | pages = {156-162}, | ||
| year = {2005}, | year = {2005}, | ||
| - | address = { | + | address = {Barcelona (Spain)}, |
| - | month = {14-17 | + | month = {September 14-17}, |
| - | 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. | + | |
| - | + | ||
| } | } | ||
| </bibtex> | </bibtex> | ||
Version actuelle
M. Maidi, F.Ababsa, M. Mallem - Vision-Inertial System Calibration for Tracking in Augmented Reality
