Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement-Reference-Cited by-同舟云学术

Deep-learning-enabled geometric constraints and phase unwrapping for single-shot absolute 3D shape measurement

Published:2020-04-01 Issue:4 Volume:5 Page:046105
ISSN:2378-0967
Container-title:APL Photonics
language:en
Short-container-title:APL Photonics

Author:

Qian Jiaming¹²³^ORCID,Feng Shijie¹²³^ORCID,Tao Tianyang¹²³^ORCID,Hu Yan¹²³^ORCID,Li Yixuan¹²³,Chen Qian¹²^ORCID,Zuo Chao¹²³^ORCID

Affiliation:

1. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, No. 200 Xiaolingwei Street, Nanjing, Jiangsu Province 210094, China

2. Jiangsu Key Laboratory of Spectral Imaging and Intelligent Sense, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China

3. Smart Computational Imaging (SCI) Laboratory, Nanjing University of Science and Technology, Nanjing, Jiangsu Province 210094, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Outstanding Youth Foundation of Jiangsu Province

Leading Technology of Jiangsu Basic Research Plan

Fundamental Research Funds for the Central Universities

Publisher

AIP Publishing

Subject

Computer Networks and Communications,Atomic and Molecular Physics, and Optics

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