Name
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 intrinsic-extrinsic) 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 lidar-camera image pairs as well as on real data acquired in outdoor environment. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICCVW.2013.92 | ICCVW '13 Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops |
Keywords | Field | DocType |
simple perspective camera,lidar pair,novel method,large set,targetless calibration,special calibration pattern,perspective camera pair,registration problem,calibration parameter,data source,image sensors,calibration,radar imaging,image registration,lidar | Computer vision,Radar imaging,Image sensor,Computer science,Camera auto-calibration,Lidar,Planar,Artificial intelligence,Estimation theory,Image registration,Calibration | Conference |
Volume | Issue | Citations |
2013 | 1 | 4 |
PageRank | References | Authors |
0.58 | 20 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Levente Tamas | 1 | 25 | 7.52 |
| Zoltan Kato | 2 | 265 | 28.28 |