Articles | Volume 6, issue 1
J. Sens. Sens. Syst., 6, 145–153, 2017
https://doi.org/10.5194/jsss-6-145-2017

Special issue: Sensors and Measurement Systems 2016

J. Sens. Sens. Syst., 6, 145–153, 2017
https://doi.org/10.5194/jsss-6-145-2017

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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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.