Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network

Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a challenging task, yet it is highly demanded by numerous applications. This paper presents a novel 3D shape reconstruction technique integrating a high-accuracy structured-light method with a deep neural network...

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Autores principales:	Hieu Nguyen, Zhaoyang Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	three-dimensional sensing three-dimensional shape reconstruction single-shot imaging height measurements depth measurements deep learning Applied optics. Photonics TA1501-1820
Acceso en línea:	https://doaj.org/article/d925750e1570460e9503ba666789d0a0
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spelling	oai:doaj.org-article:d925750e1570460e9503ba666789d0a02021-11-25T18:42:56ZAccurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network10.3390/photonics81104592304-6732https://doaj.org/article/d925750e1570460e9503ba666789d0a02021-10-01T00:00:00Zhttps://www.mdpi.com/2304-6732/8/11/459https://doaj.org/toc/2304-6732Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a challenging task, yet it is highly demanded by numerous applications. This paper presents a novel 3D shape reconstruction technique integrating a high-accuracy structured-light method with a deep neural network learning scheme. The proposed approach employs a convolutional neural network (CNN) to transform a color structured-light fringe image into multiple triple-frequency phase-shifted grayscale fringe images, from which the 3D shape can be accurately reconstructed. The robustness of the proposed technique is verified, and it can be a promising 3D imaging tool in future scientific and industrial applications.Hieu NguyenZhaoyang WangMDPI AGarticlethree-dimensional sensingthree-dimensional shape reconstructionsingle-shot imagingheight measurementsdepth measurementsdeep learningApplied optics. PhotonicsTA1501-1820ENPhotonics, Vol 8, Iss 459, p 459 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	three-dimensional sensing three-dimensional shape reconstruction single-shot imaging height measurements depth measurements deep learning Applied optics. Photonics TA1501-1820
spellingShingle	three-dimensional sensing three-dimensional shape reconstruction single-shot imaging height measurements depth measurements deep learning Applied optics. Photonics TA1501-1820 Hieu Nguyen Zhaoyang Wang Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network
description	Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a challenging task, yet it is highly demanded by numerous applications. This paper presents a novel 3D shape reconstruction technique integrating a high-accuracy structured-light method with a deep neural network learning scheme. The proposed approach employs a convolutional neural network (CNN) to transform a color structured-light fringe image into multiple triple-frequency phase-shifted grayscale fringe images, from which the 3D shape can be accurately reconstructed. The robustness of the proposed technique is verified, and it can be a promising 3D imaging tool in future scientific and industrial applications.
format	article
author	Hieu Nguyen Zhaoyang Wang
author_facet	Hieu Nguyen Zhaoyang Wang
author_sort	Hieu Nguyen
title	Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network
title_short	Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network
title_full	Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network
title_fullStr	Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network
title_full_unstemmed	Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network
title_sort	accurate 3d shape reconstruction from single structured-light image via fringe-to-fringe network
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/d925750e1570460e9503ba666789d0a0
work_keys_str_mv	AT hieunguyen accurate3dshapereconstructionfromsinglestructuredlightimageviafringetofringenetwork AT zhaoyangwang accurate3dshapereconstructionfromsinglestructuredlightimageviafringetofringenetwork
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Accurate 3D Shape Reconstruction from Single Structured-Light Image via Fringe-to-Fringe Network

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