scholarly journals Automatic Stereo Camera Calibration in Real-World Environments Without Defined Calibration Objects

Author(s):  
Thomas Marko ◽  
Wilfried Kubinger
Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1091
Author(s):  
Izaak Van Crombrugge ◽  
Rudi Penne ◽  
Steve Vanlanduit

Knowledge of precise camera poses is vital for multi-camera setups. Camera intrinsics can be obtained for each camera separately in lab conditions. For fixed multi-camera setups, the extrinsic calibration can only be done in situ. Usually, some markers are used, like checkerboards, requiring some level of overlap between cameras. In this work, we propose a method for cases with little or no overlap. Laser lines are projected on a plane (e.g., floor or wall) using a laser line projector. The pose of the plane and cameras is then optimized using bundle adjustment to match the lines seen by the cameras. To find the extrinsic calibration, only a partial overlap between the laser lines and the field of view of the cameras is needed. Real-world experiments were conducted both with and without overlapping fields of view, resulting in rotation errors below 0.5°. We show that the accuracy is comparable to other state-of-the-art methods while offering a more practical procedure. The method can also be used in large-scale applications and can be fully automated.


2019 ◽  
Vol 90 (4) ◽  
pp. 043106 ◽  
Author(s):  
Emanuele Simioni ◽  
Vania Da Deppo ◽  
Cristina Re ◽  
Alessandra Slemer ◽  
Maria Teresa Capria ◽  
...  

Author(s):  
G. Katai-Urban ◽  
V. Otte ◽  
N. Kees ◽  
Z. Megyesi ◽  
P. S. Bixel

In this article a method for reconstructing atmospheric cloud surfaces using a stereo camera system is presented. The proposed camera system utilizes fish-eye lenses in a flexible wide baseline camera setup. The entire workflow from the camera calibration to the creation of the 3D point set is discussed, but the focus is mainly on cloud segmentation and on the image processing steps of stereo reconstruction. Speed requirements, geometric limitations, and possible extensions of the presented method are also covered. After evaluating the proposed method on artificial cloud images, this paper concludes with results and discussion of possible applications for such systems.


2013 ◽  
Vol 27 (7) ◽  
pp. 618-634 ◽  
Author(s):  
K. Deep ◽  
M. Arya ◽  
M. Thakur ◽  
B. Raman

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