University of Wollongong
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Multi-channel digital fringe calibration for structured light profilometers using neural networks

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conference contribution
posted on 2024-11-13, 23:04 authored by Matthew J Baker, Jiangtao XiJiangtao Xi, Jose ChicharoJose Chicharo
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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Citation

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.

Parent title

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Language

English

RIS ID

73093

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