[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 …

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 …

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 …

[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 …

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 …

Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera

W Chen, S Feng, W Yin, Y Li, J Qian, Q Chen, C Zuo - PhotoniX, 2024 - Springer
Recent advances in imaging sensors and digital light projection technology have facilitated
rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be …

PhaseNet 2.0: Phase unwrap** of noisy data based on deep learning approach

GE Spoorthi, RKSS Gorthi… - IEEE transactions on image …, 2020 - ieeexplore.ieee.org
Phase unwrap** is an ill-posed classical problem in many practical applications of
significance such as 3D profiling through fringe projection, synthetic aperture radar and …

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) …