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A framework for uncertainty propagation in 3D shape measurement using laser triangulation

 
: Mohammadikaji, M.; Bergmann, S.; Irgenfried, S.; Beyerer, Jürgen; Dachsbacher, C.; Wörn, H.

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Postprint urn:nbn:de:0011-n-4346426 (935 KByte PDF)
MD5 Fingerprint: 0bab3187a4362ae65c498b6b5a55405c
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Erstellt am: 14.2.2017


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Instrumentation and Measurement Society:
IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2016. Proceedings : Measuring the Pulse of Industries, Nature and Humans; May 23-26, 2016, Taipei, Taiwan
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-4673-9221-1 (Print)
ISBN: 978-1-4673-9220-4 (Online)
ISBN: 978-1-4673-9219-8
6 S.
International Instrumentation and Measurement Technology Conference (I2MTC) <2016, Taipei>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
uncertainty; measurement uncertainty; three-dimensional displays; laser modes; cameras; mathematical model; measurement by laser beam

Abstract
The analysis of measurement uncertainty is necessary in every measurement process. In this paper, we suggest an approach to categorize and model the dominant sources of uncertainty and study the probabilistic propagation of the uncertainties in a 3D inspection using laser line scanners. To each point of the measurement point cloud, we associate a covariance matrix describing the corresponding dispersion ellipsoid in the 3D space. The uncertainties can be analyzed for each desired laser and camera constellation and thus, the method can be applied in designing and optimizing laser scanner setups, reducing the effort of manually evaluating the setup in a trial and error approach. As a demonstration, the inspection of a cylinder head has been simulated using computer graphics and the estimated uncertainty metrics are visualized on the measured surface.

: http://publica.fraunhofer.de/dokumente/N-434642.html