[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
[HTML][HTML] Transport of intensity equation: a tutorial
When it comes to “phase measurement” or “quantitative phase imaging”, many people will
automatically connect them with “laser” and “interferometry”. Indeed, conventional …
automatically connect them with “laser” and “interferometry”. Indeed, conventional …
[HTML][HTML] Calibration of fringe projection profilometry: A comparative review
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 …
System calibration is crucial to fringe projection systems, since it determines how the phase …
[HTML][HTML] Phase imaging with an untrained neural network
Most of the neural networks proposed so far for computational imaging (CI) in optics employ
a supervised training strategy, and thus need a large training set to optimize their weights …
a supervised training strategy, and thus need a large training set to optimize their weights …
[PDF][PDF] Deep-learning-enabled dual-frequency composite fringe projection profilometry for single-shot absolute 3D shape measurement
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 projection profilometry (FPP), however, it is still challenging to recover accurate 3D …
[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 …
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
Fringe projection profilometry (FPP) has become a more prevalently adopted technique in
intelligent manufacturing, defect detection, and some other important applications. In FPP …
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
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) …
frame image has been the ultimate goal long pursued in fringe projection profilometry (FPP) …
Deep learning spatial phase unwrapping: a comparative review
Phase unwrapping is an indispensable step for many optical imaging and metrology
techniques. The rapid development of deep learning has brought ideas to phase …
techniques. The rapid development of deep learning has brought ideas to phase …
PhaseNet 2.0: Phase unwrapping of noisy data based on deep learning approach
GE Spoorthi, RKSS Gorthi… - IEEE transactions on image …, 2020 - ieeexplore.ieee.org
Phase unwrapping is an ill-posed classical problem in many practical applications of
significance such as 3D profiling through fringe projection, synthetic aperture radar and …
significance such as 3D profiling through fringe projection, synthetic aperture radar and …