Thesynergy of traditional techniques and deep learning enables single‐framehighprecision fringe pattern analysisA new publication from Opto Electronic Advances, 10.29026/oea.2024.230034 discusses h...
Recently, deep learning has yielded transformative success across optics and photonics, especially in optical metrology. Deep neural networks (DNNs) with a fully convolutional architecture (e.g., U-Ne
Recently, deep learning has yielded transformative success across optics and photonics, especially in optical metrology. Deep neural networks (DNNs) with a fully convolutional architecture (e.g., U-Ne
La métrologie optique, en tant que technique de métrologie à usage général utilisant la lumière comme support d'informations pour des mesures sans contact et non destructives, est fondamentale pour le
Optical metrology, as a general-purpose metrology technique that uses light as information carriers for non-contact and non-destructive measurement, is fundamental to manufacturing, basic research,...
A new publication from Opto-Electronic Advances, 10.29026/oea.2024.230034 discusseshow the synergy of traditional techniques and deep learning enablessingle-frame high-precision fringe pattern anal...
The synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern analysisA new publication from Opto-Electronic Advances, 10.29026/oea.2024.230034 discus...
Synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern analysis Fig. 1. Diagrams of the physics-based traditional method, physics-informed deep
Synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern analysisFig. 1. Diagrams of the physics-based traditional method, physics-informed deep learni...
Synergy of traditional techniques and deep learning enables single-frame high-precision fringe pattern analysisFig. 1. Diagrams of the physics-based traditional method, physics-informed deep learni...
Recently, the research group led by Prof. Qian Chen and Prof. Chao Zuo at the School of Electronic and Optical Engineering, Nanjing University of Science and Technology (NJUST) has published a rese...
Recently, the research group of Prof. Qian Chen and Prof. Chao Zuo from the School of Electronic and Optical Engineering, Nanjing University of Science and Technology (NJUST) has published a resear...
Opto-Electronic Science 2023年第4期论文推荐：南理工陈钱、左超教授与西电郜鹏教授合作，将深度学习模型与物理模型进行有机结合，在仅使用传统模型数据集1/10的情况下,有效解决了微离轴数字全息解调过程中的伪影残留问题，并且相位重构精度相比于传统物理方法提高了10倍以上。封面文章 | Li ZS, Sun JS, Fan Y, Jin YB, Shen Q et al....
Recently, the research group of Profs. Qian Chen and Chao Zuo from the School of Electronic and Optical Engineering, Nanjing University of Science and Technology (NJUST) proposed a novel label-free...
