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IROS
2009
IEEE

3D model based pose estimation for omnidirectional stereovision

9 years 5 months ago
3D model based pose estimation for omnidirectional stereovision
— Robot vision has a lot to win as well with wide field of view induced by catadioptric cameras as with redundancy brought by stereovision. Merging these two characteristics in a single sensor is obtained by combining a single camera and multiple mirrors. This paper proposes a 3D model tracking algorithm that allows a robust tracking of 3D objects using stereo catadioptric images given by this sensor. The presented work relies on an adapted virtual visual servoing approach, a non-linear pose computation technique. The model take into account central projection and multiple mirrors. Results show robustness in illumination changes, mistracking and even higher robustness with four mirrors than with two.
Guillaume Caron, Éric Marchand, El Mustapha
Added 24 May 2010
Updated 24 May 2010
Type Conference
Year 2009
Where IROS
Authors Guillaume Caron, Éric Marchand, El Mustapha Mouaddib
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