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CASIA OpenIR
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A Self-Supervised CNN for Particle Inspection on Optical Element 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 1, 页码: 1-12
作者:  Hou W(侯伟);  Tao X(陶显);  Xu D(徐德)
Adobe PDF(2721Kb)  |  收藏  |  浏览/下载：246/58  |  提交时间：2021/06/21
Inspection  Feature reuse  optical element  particle inspection  self-supervised learning  transfer learning  
A Calibration and 3-D Measurement Method for an Active Vision System With Symmetric Yawing Cameras 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:  Xu, De;  Zhang, Di;  Liu, Xilong;  Ma, Liping
Adobe PDF(2707Kb)  |  收藏  |  浏览/下载：276/53  |  提交时间：2021/11/03
3-D measurement  active vision  calibration  stereo vision  symmetric yawing system  
Industrial Weak Scratches Inspection Based on Multifeature Fusion Network 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 14
作者:  Tao, Xian;  Zhang, Dapeng;  Hou, Wei;  Ma, Wenzhi;  Xu, De
Adobe PDF(11203Kb)  |  收藏  |  浏览/下载：342/48  |  提交时间：2021/03/08
Deep learning  defect detection  machine vision  multiple feature fusion  weak scratch inspection  
Combining Prior Knowledge With CNN for Weak Scratch Inspection of Optical Components 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 期号: 1, 页码: 11
作者:  Hou, Wei;  Tao, Xian;  Xu, De
Adobe PDF(6798Kb)  |  收藏  |  浏览/下载：365/129  |  提交时间：2021/03/08
Convolutional neural network (CNN)  direction-sensitive convolution (DSC)  local maximum index (LMI)  optical component  weak scratch inspection  
Visual Defect Inspection for Deep-Aperture Components With Coarse-to-Fine Contour Extraction 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 6, 页码: 3262-3274
作者:  Gong, Xinyi;  Su, Hu;  Xu, De;  Zhang, Jiabin;  Zhang, Lei;  Zhang, Zhengtao
Adobe PDF(1324Kb)  |  收藏  |  浏览/下载：319/67  |  提交时间：2020/08/03
Coarse-fine positioning  deep-hole component  defect inspection  edge grouping  image processing  
Precision Pose Measurement of an Object with Flange based on the Distribution of Shadow 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2020, 卷号: 69, 期号: 5, 页码: 2003-2015
作者:  Ma, Yanqin;  Liu, Xilong;  Xu, De
浏览  |  Adobe PDF(3311Kb)  |  收藏  |  浏览/下载：219/52  |  提交时间：2020/06/10
Microscopic vision  optimal model  precision assembly  pose measurement  shadow distribution  
Industrial WeakScratches Inspection Based on Multi-Feature Fusion Network 期刊论文
IEEE Transaction on Instrumentation and Measurement, 2020, 期号: 1, 页码: 1-14
作者:  Tao Xian;  Zhang DP(张大朋);  Hou wei;  Ma wenzhi;  Xu De
浏览  |  Adobe PDF(5789Kb)  |  收藏  |  浏览/下载：249/64  |  提交时间：2020/10/20
Weak scratch inspection, Defect Detection, MultipleFeatureFusion,DeepLearning,MachineVision  
Robust Visual Detection and Tracking Strategies for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2019, 卷号: 68, 期号: 12, 页码: 4640-4652
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
浏览  |  Adobe PDF(11285Kb)  |  收藏  |  浏览/下载：272/56  |  提交时间：2020/03/30
Target tracking  Feature extraction  Object detection  Search problems  Proposals  Visualization  Detectors  Autonomous aerial refueling (AAR)  deep learning  object detection  object tracking  reinforcement learning  
Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2019, 卷号: 49, 期号: 12, 页码: 4167-4179
作者:  Sun, Siyang;  Yin, Yingjie;  Wang, Xingang;  Xu, De
Adobe PDF(2687Kb)  |  收藏  |  浏览/下载：539/180  |  提交时间：2018/10/02
Aerial refueling  landmark detection  monocular vision  multitask parallel deep convolution neural network (MPDCNN)  position measurement  
Robotic Skill Learning for Precision Assembly With Microscopic Vision and Force Feedback 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2019, 卷号: 24, 期号: 3, 页码: 1117-1128
作者:  Qin, Fangbo;  Xu, De;  Zhang, Dapeng;  Li, Ying
浏览  |  Adobe PDF(2296Kb)  |  收藏  |  浏览/下载：515/196  |  提交时间：2019/05/06
Force control  learning from demonstration  microscopic vision  precision assembly  robotic skill learning