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Fourth IEEE International Conference on Computer Vision Systems (ICVS'06)
Exploiting Rolling Shutter Distortions for Simultaneous Object Pose and Velocity Computation Using a Single View
New York, New York
January 04-January 07
ISBN: 0-7695-2506-7
ASCII Text
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Omar Ait-Aider, Nicolas Andreff, Jean Marc Lavest, Philippe Martinet, "Exploiting Rolling Shutter Distortions for Simultaneous Object Pose and Velocity Computation Using a Single View," Computer Vision Systems, International Conference on, pp. 35, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICVS.2006.25,
author = {Omar Ait-Aider and Nicolas Andreff and Jean Marc Lavest and Philippe Martinet},
title = {Exploiting Rolling Shutter Distortions for Simultaneous Object Pose and Velocity Computation Using a Single View},
journal ={Computer Vision Systems, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2506-7},
pages = {35},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICVS.2006.25},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Vision Systems, International Conference on
TI - Exploiting Rolling Shutter Distortions for Simultaneous Object Pose and Velocity Computation Using a Single View
SN - 0-7695-2506-7
SP
EP
A1 - Omar Ait-Aider,
A1 - Nicolas Andreff,
A1 - Jean Marc Lavest,
A1 - Philippe Martinet,
PY - 2006
KW - null
VL - 0
JA - Computer Vision Systems, International Conference on
ER -
 
Omar Ait-Aider, Blaise Pascal University, France
Nicolas Andreff, Blaise Pascal University, France
Jean Marc Lavest, Blaise Pascal University, France
Philippe Martinet, Blaise Pascal University, France
An original method for computing instantaneous 3D pose and velocity of fast moving objects using a single view is presented. It exploits image deformations induced by rolling shutter in CMOS image sensors. First of all, a general perspective projection model of a moving 3D point is presented. A solution for the pose and velocity recovery problem is then described. The method is based on bundle adjustment and uses point correspondences. The resulting algorithm enables to transform a CMOS low cost and low power camera into an original velocity sensor. Finally, experimental results with real data confirm the relevance of the approach.
Citation:
Omar Ait-Aider, Nicolas Andreff, Jean Marc Lavest, Philippe Martinet, "Exploiting Rolling Shutter Distortions for Simultaneous Object Pose and Velocity Computation Using a Single View," icvs, pp.35, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06), 2006
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