Title
Multi-channel Digital Fringe Calibration for Structured Light Profilometers using Neural Networks
Document Type
Journal Article
Publication Date
May 2007
Abstract
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 afringe calibration technique with emphasis on minimal photometric calibration. The performance of the calibration technique is gauged through both simulation and experimentation.
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Publication Details
This article was originally published as Baker, MJ, Xi, J, and Chicharo, J, Multi-channel Digital Fringe Calibration for Structured Light Profilometers using Neural Networks, 2007 IEEE Instrumentation and Measurement Technology Conference Proceedings, 1-3 May, 1-6.