Targetless Calibration of a Lidar - Perspective Camera Pair

Levente Tamas, Zoltan Kato; Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops, 2013, pp. 668-675

Abstract


A novel method is proposed for the calibration of a camera 3D lidar pair without the use of any special calibration pattern or point correspondences. The proposed method has no specific assumption about the data source: plain depth information is expected from the lidar scan and a simple perspective camera is used for the 2D images. The calibration is solved as a 2D-3D registration problem using a minimum of one (for extrinsic) or two (for intrinsicextrinsic) planar regions visible in both cameras. The registration is then traced back to the solution of a non-linear system of equations which directly provides the calibration parameters between the bases of the two sensors. The method has been tested on a large set of synthetic lidarcamera image pairs as well as on real data acquired in outdoor environment.

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[bibtex]
@InProceedings{Tamas_2013_ICCV_Workshops,
author = {Levente Tamas and Zoltan Kato},
title = {Targetless Calibration of a Lidar - Perspective Camera Pair},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {June},
year = {2013}
}