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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] 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-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 …
been featured. In this paper, a novel differentiable angle coder named phase-shifting coder …
Status, challenges, and future perspectives of fringe projection profilometry
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 …
sensing/imaging, fringe projection profilometry (FPP) has been growing rapidly over the past …
[HTML][HTML] Microscopic fringe projection profilometry: A review
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 …
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
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 …
Fringe pattern analysis using deep learning
In many optical metrology techniques, fringe pattern analysis is the central algorithm for
recovering the underlying phase distribution from the recorded fringe patterns. Despite …
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
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 …
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 …
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
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) …