Articles | Volume 6, issue 1
J. Sens. Sens. Syst., 6, 145–153, 2017

Special issue: Sensors and Measurement Systems 2016

J. Sens. Sens. Syst., 6, 145–153, 2017

Regular research article 06 Apr 2017

Regular research article | 06 Apr 2017

Statistical characterization of evaluation strategies for fringe projection systems by means of a model-based noise prediction

Marc Fischer et al.

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Cited articles

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EMVA: European Machine Vision Association, EMVA Standard 1288 – Standard for Characterization of Image Sensors and Cameras, Release 3.0, 29 November, 2010.
Fischer, M., Petz, M., and Tutsch, R.: Vorhersage des Phasenrauschens in optischen Messsystemen mit strukturierter Beleuchtung, Tech. Mess., 79, 451–458,, 2012.
Fischer, M.: Deflektometrie in Transmission – Ein neues Messverfahren zur Erfassung der Geometrie asphärischer refraktiver Optiken, Dissertation, Technische Universität Braunschweig, Schriftenreihe des Instituts für Produktionsmesstechnik, Band 12, Aachen: Shaker, ISBN 978-3844043211, 83–87, 2016.
Haskamp, K., Kästner, M., Ohrt, C., and Reithmeier, E.: Estimation of measurement uncertainties using virtual fringe projection technique, Appl. Opt., 51, 1516–1520,, 2012.
Short summary
For optical measurement systems, camera noise is the dominant uncertainty factor when optically cooperative surfaces are measured in a stable environment. In this work it will be shown that the resulting spatial noise can be estimated by means of a noise model. The capability of this approach will be demonstrated for a fringe projection system. This provides a valuable tool for a statistical comparison of different evaluation strategies, which is shown for two different triangulation procedures.