[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

[HTML][HTML] Calibration of fringe projection profilometry: A comparative review

S Feng, C Zuo, L Zhang, T Tao, Y Hu, W Yin… - Optics and lasers in …, 2021 - Elsevier
Fringe projection profilometry is widely used for three-dimensional (3D) measurements.
System calibration is crucial to fringe projection systems, since it determines how the phase …

[HTML][HTML] Microscopic fringe projection profilometry: A review

Y Hu, Q Chen, S Feng, C Zuo - Optics and lasers in engineering, 2020 - Elsevier
Structured light three-dimensional (3D) measurement technology is considered one of the
most reliable 3D data acquisition methods. Driven by the demand for high-precision 3D data …

[PDF][PDF] Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement

Y Li, J Qian, S Feng, Q Chen, C Zuo - Opto-Electronic Advances, 2022 - researching.cn
Single-shot high-speed 3D imaging is important for reconstructions of dynamic objects. For
fringe projection profilometry (FPP), however, it is still challenging to recover accurate 3D …

Status, challenges, and future perspectives of fringe projection profilometry

J Xu, S Zhang - Optics and Lasers in Engineering, 2020 - Elsevier
As one of the most popular techniques for non-contact three-dimensional (3D)
sensing/imaging, fringe projection profilometry (FPP) has been growing rapidly over the past …

Phase-shifting coder: Predicting accurate orientation in oriented object detection

Y Yu, F Da - Proceedings of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
With the vigorous development of computer vision, oriented object detection has gradually
been featured. In this paper, a novel differentiable angle coder named phase-shifting coder …

Fringe pattern analysis using deep learning

S Feng, Q Chen, G Gu, T Tao, L Zhang… - Advanced …, 2019 - spiedigitallibrary.org
In many optical metrology techniques, fringe pattern analysis is the central algorithm for
recovering the underlying phase distribution from the recorded fringe patterns. Despite …

[PDF][PDF] 基于相移条纹分析的实时三维成像技术发展综述

郭文博, 张启灿, 吴周杰 - Laser & Optoelectronics Progress, 2021 - researching.cn
摘要近年来, 客观世界和场景三维信息需求量的陡增, 促使结构光三维测量技术快速发展.
基于条纹投影和相移条纹分析的三维成像技术具有较好的精度和鲁棒性, 在众多的技术方法中 …

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

J Qian, S Feng, T Tao, Y Hu, Y Li, Q Chen, C Zuo - Apl Photonics, 2020 - pubs.aip.org
Fringe projection profilometry (FPP) has become a more prevalently adopted technique in
intelligent manufacturing, defect detection, and some other important applications. In FPP …

Single-shot absolute 3D shape measurement with deep-learning-based color fringe projection profilometry

J Qian, S Feng, Y Li, T Tao, J Han, Q Chen, C Zuo - Optics Letters, 2020 - opg.optica.org
Recovering the high-resolution three-dimensional (3D) surface of an object from a single
frame image has been the ultimate goal long pursued in fringe projection profilometry (FPP) …