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Modelling and calibration of multi-camera-systems for 3D industrial supervision applications

: Straube, G.; Zhang, C.; Yaroshchuck, A.; Lübbecke, S.; Notni, G.

Volltext ()

Rosenberger, M. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.:
Photonics and Education in Measurement Science 2019 : 17-19 September 2019, Jena, Germany
Bellingham, WA: SPIE, 2019 (Proceedings of SPIE 11144)
ISBN: 978-1-5106-2981-3
ISBN: 978-1-5106-2982-0
Paper 111440D, 9 S.
Conference "Photonics and Education in Measurement Science" <2019, Jena>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOF ()

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.