Journal ArticleDOI
Optical measurement techniques – A push for digitization
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TLDR
This work presents a new digital photoelasticity Reference EPFL-ARTICLE-222716 that combines holographic interferometry and digital image correlation for Fringe projection profilometry with real-time information about the response of the human eye to light.About:
This article is published in Optics and Lasers in Engineering.The article was published on 2016-12-01. It has received 38 citations till now. The article focuses on the topics: Electronic speckle pattern interferometry & Holographic interferometry.read more
Citations
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Journal Article
Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry
TL;DR: In this article, a fast Fourier transform method of topography and interferometry is proposed to discriminate between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour generation techniques.
Journal Article
Digital wavefront measuring interferometer for testing optical surfaces and lenses
TL;DR: In this article, a self-scanned 1024 element photodiode array and a minicomputer are used to measure the phase (wavefront) in the interference pattern of an interferometer to lambda/100.
Journal ArticleDOI
Deep learning in optical metrology: a review
Chao Zuo,Jiaming Qian,Shijie Feng,Wei Yin,Yixuan Li,Pengfei Fan,Jing Han,Kemao Qian,Qian Chen +8 more
TL;DR: Deep learning-enabled optical metrology is a kind of data-driven approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances as discussed by the authors .
Journal ArticleDOI
Deep learning in optical metrology: a review
Chao Zuo,Jiaming Qian,Shijie Feng,Wei Yin,Yixuan Li,Pengfei Fan,Jing Han,Kemao Qian,Qian Chen +8 more
TL;DR: Deep learning-enabled optical metrology is a kind of data-driven approach, which has already provided numerous alternative solutions to many challenging problems in this field with better performances as discussed by the authors .
Journal ArticleDOI
Deep neural networks for single shot structured light profilometry
TL;DR: By training a fully convolutional neural network on a large set of simulated height maps with corresponding deformed fringe patterns, the ability of the network to obtain full-field height information from previously unseen fringe patterns with high accuracy is demonstrated.
References
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Journal ArticleDOI
A flexible new technique for camera calibration
TL;DR: A flexible technique to easily calibrate a camera that only requires the camera to observe a planar pattern shown at a few (at least two) different orientations is proposed and advances 3D computer vision one more step from laboratory environments to real world use.
Journal Article
Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry
TL;DR: In this article, a fast Fourier transform method of topography and interferometry is proposed to discriminate between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour generation techniques.
Journal ArticleDOI
Fourier-transform method of fringe-pattern analysis for computer-based topography and interferometry
TL;DR: In this paper, a fast Fourier transform method of topography and interferometry is proposed to discriminate between elevation and depression of the object or wave-front form, which has not been possible by the fringe-contour generation techniques.
Journal ArticleDOI
Two-dimensional digital image correlation for in-plane displacement and strain measurement: a review
TL;DR: In this article, a review of the 2D digital image correlation (2D DIC) technique for displacement field measurement and strain field estimation is presented, and detailed analyses of the measurement accuracy considering the influences of both experimental conditions and algorithm details are provided.
Journal ArticleDOI
Satellite radar interferometry: Two-dimensional phase unwrapping
TL;DR: In this paper, an approach to 'unwrapping' the 2 pi ambiguities in the two-dimensional data set is presented, where it is found that noise and geometrical radar layover corrupt measurements locally, and these local errors can propagate to form global phase errors that affect the entire image.
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