Online stereo camera calibration for automotive vision based on HW-accelerated A-KAZE-feature extraction

2019 ◽  
Vol 97 ◽  
pp. 335-348 ◽  
Author(s):  
Nico Mentzer ◽  
Jannik Mahr ◽  
Guillermo Payá-Vayá ◽  
Holger Blume
Keyword(s):  
Feature Extraction ◽  
Camera Calibration ◽  
Stereo Camera ◽  
Kaze Feature

SIMBIO-SYS/STC stereo camera calibration: Geometrical distortion

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

scholarly journals STEREO RECONSTRUCTION OF ATMOSPHERIC CLOUD SURFACES FROM FISH-EYE CAMERA IMAGES

2016 ◽  
Vol XLI-B3 ◽  
pp. 49-56
Author(s):  
G. Katai-Urban ◽  
V. Otte ◽  
N. Kees ◽  
Z. Megyesi ◽  
P. S. Bixel
Keyword(s):  
Image Processing ◽  
Camera Calibration ◽  
Camera System ◽  
Stereo Camera ◽  
Stereo Reconstruction ◽  
Point Set ◽  
The Creation ◽  
Fish Eye ◽  
Processing Steps

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.

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