Bibtex:Maidi05
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Version du 23 janvier 2007 à 12:05 (modifier) Gi (Discuter | Contributions) m (Modèle:Bibtex/Maidi05 déplacé vers Bibtex:Maidi05) ← Différence précédente |
Version actuelle (12 avril 2010 à 19:19) (modifier) (défaire) Maidi (Discuter | Contributions) |
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address = {Barcelona (Spain)}, | address = {Barcelona (Spain)}, | ||
month = {September 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. | + | |
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</bibtex> | </bibtex> |
Version actuelle
M. Maidi, F.Ababsa, M. Mallem - Vision-Inertial System Calibration for Tracking in Augmented Reality