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[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 …
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 …
Deep-learning-enabled temporally super-resolved multiplexed fringe projection profilometry: high-speed kHz 3D imaging with low-speed camera
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 …
rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be …
[HTML][HTML] Deep-learning-enabled geometric constraints and phase unwrap** 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 unwrap**: a comparative review
Phase unwrap** 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 unwrap** of noisy data based on deep learning approach
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 …
significance such as 3D profiling through fringe projection, synthetic aperture radar and …