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Extrinsic Calibration of Multiple RGB-D Cameras From Line Observations

Alejandro Perez-Yus 1 Eduardo Fernandez-Moral 2 Gonzalo Lopez-Nicolas 1 Jose Guerrero 1 Patrick Rives 2
2 Lagadic - Visual servoing in robotics, computer vision, and augmented reality
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
Abstract : This paper presents a novel method to estimate the relative poses between RGB and depth cameras without the requirement of an overlapping field of view, thus providing flexibility to calibrate a variety of sensor configurations. This calibration problem is relevant to robotic applications which can benefit of using several cameras to increase the field of view. In our approach, we extract and match lines of the scene in the RGB and depth cameras, and impose geometric constraints to find the relative poses between the sensors. An analysis of the observability properties of the problem is presented. We have validated our method in both synthetic and real scenarios with different camera configurations, demonstrating that our approach achieves good accuracy and is very simple to apply, in contrast with previous methods based on trajectory matching using visual odometry or SLAM.
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Submitted on : Monday, September 4, 2017 - 7:56:51 PM
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Alejandro Perez-Yus, Eduardo Fernandez-Moral, Gonzalo Lopez-Nicolas, Jose Guerrero, Patrick Rives. Extrinsic Calibration of Multiple RGB-D Cameras From Line Observations. IEEE Robotics and Automation Letters, IEEE 2018, 3 (1), pp.273 - 280. ⟨10.1109/LRA.2017.2739104⟩. ⟨hal-01581523⟩



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