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Multi-channel Digital Fringe Calibration for Structured Light Profilometers using Neural Networks

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3 Author(s)
Baker, M.J. ; Wollongong Univ., Wollongong ; Xi, J. ; Chicharo, J.F.

The performance of structured light profilometers is significantly hindered by the generation of distorted sinusoid fringe images, particularly, for multi-channel applications. In this paper we investigate the application of neural network fringe calibration for the multi-channel approach. We analytically review the nature of the major error sources associated with the multi-channel approach and propose a fringe calibration technique with emphasis on minimal photometric calibration. The performance of the calibration technique is gauged through both simulation and experimentation.

Published in:

Instrumentation and Measurement Technology Conference Proceedings, 2007. IMTC 2007. IEEE

Date of Conference:

1-3 May 2007

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