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17 September 2019 Modelling and calibration of multi-camera-systems for 3D industrial supervision applications
Guido Straube, Chen Zhang, Artem Yaroshchuk, Steffen Lübbecke, Gunther Notni
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Proceedings Volume 11144, Photonics and Education in Measurement Science 2019; 111440D (2019) https://doi.org/10.1117/12.2532320
Event: Joint TC1 - TC2 International Symposium on Photonics and Education in Measurement Science 2019, 2019, Jena, Germany
Abstract
With the advent of industry 4.0, the introduction of smart manufacturing and integrated production systems, the interest in 3D image-based supervision methods is growing. The aim of this work is to develop a scalable multi-camera-system suitable for the acquisition of a dense point cloud representing the interior volume of a production machine for general supervision tasks as well as for navigation purposes without a priori information regarding the composition of processing stations. Therefore, multiple low-cost industrial cameras are mounted on the machine housing observing the interior volume. In order to obtain a dense point cloud, this paper reviews aspects of metric stereo calibration and 3D reconstruction with attention being focused on target-based calibration methods and block matching algorithms.
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Guido Straube, Chen Zhang, Artem Yaroshchuk, Steffen Lübbecke, and Gunther Notni "Modelling and calibration of multi-camera-systems for 3D industrial supervision applications", Proc. SPIE 11144, Photonics and Education in Measurement Science 2019, 111440D (17 September 2019); https://doi.org/10.1117/12.2532320
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KEYWORDS
Cameras
Calibration
Distortion
Clouds
3D image processing
3D modeling
Imaging systems
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