Phase shifting algorithms for fringe projection profilometry: A review
TLDR
An overview of state-of-the-art phase shifting algorithms for implementing 3D surface profilometry is presented to provide a useful guide to the selection of the most appropriate phase shifting technique for a particular application.About:
This article is published in Optics and Lasers in Engineering.The article was published on 2018-10-01 and is currently open access. It has received 611 citations till now. The article focuses on the topics: Absolute phase & Structured light.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
Fringe pattern analysis using deep learning
TL;DR: Inspired by recent successes of deep learning techniques for computer vision and other applications, it is demonstrated for the first time that the deep neural networks can be trained to perform fringe analysis, which substantially enhances the accuracy of phase demodulation from a single fringe pattern.
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 .
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Microscopic fringe projection profilometry: A review
TL;DR: An overview of these state-of-the-art MFPP works is presented by analyzing and comparing the measurement principles, systems structures, and key performance indexes such as the accuracy, field of view (FOV), and speed.
References
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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 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.
BookDOI
Optical Shop Testing
TL;DR: In this paper, a completely rewritten chapter was added to cover wavefront fitting and evaluation as well as holographic and Moire methods, and an appendix was added suggesting appropriate tests for typical optical surfaces.
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.
Journal ArticleDOI
Fourier transform profilometry for the automatic measurement of 3-D object shapes
Mitsuo Takeda,Kazuhiro Mutoh +1 more
TL;DR: A new computer-based technique for automatic 3-D shape measurement is proposed and verified by experiments that has a much higher sensitivity than the conventional moire technique and is capable of fully automatic distinction between a depression and an elevation on the object surface.