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CASIA OpenIR
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Image-Based Visual Servoing System for Components Alignment Using Point and Line Features 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 11
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1856Kb)  |  收藏  |  浏览/下载：251/16  |  提交时间：2022/06/10
Deep neural network  feature extraction  image-based visual servoing  interaction matrix  pose error estimation  robotic assembly system  
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：345/69  |  提交时间：2021/11/03
3-D measurement  active vision  calibration  stereo vision  symmetric yawing system  
High-precision robotic assembly system using three-dimensional vision 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2021, 卷号: 18, 期号: 3, 页码: 12
作者:  Yan, Shaohua;  Tao, Xian;  Xu, De
Adobe PDF(1740Kb)  |  收藏  |  浏览/下载：277/20  |  提交时间：2021/11/03
3D vision  feature extraction  pose estimation  hybrid visual servoing  robotic assembly system  
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：285/71  |  提交时间：2020/10/20
Weak scratch inspection, Defect Detection, MultipleFeatureFusion,DeepLearning,MachineVision  
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：590/217  |  提交时间：2019/05/06
Force control  learning from demonstration  microscopic vision  precision assembly  robotic skill learning  
Contour Primitives of Interest Extraction Method for Microscopic Images and Its Application on Pose Measurement 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 8, 页码: 1348-1359
作者:  Qin, Fangbo;  Shen, Fei;  Zhang, Dapeng;  Liu, Xilong;  Xu, De
浏览  |  Adobe PDF(1535Kb)  |  收藏  |  浏览/下载：404/130  |  提交时间：2019/05/05
Geometric constraint  image feature extraction  microscopic vision  pose measurement  precision assembly  
Tracking and Guiding Multiple Laser Beams Based on Beam and Target Alignment System 期刊论文
International Journal of Automation and Computing, 2015, 卷号: 12, 期号: 6, 页码: 600-610
作者:  Zhang, Pengcheng(张鹏程);  Xu, De(徐德)
浏览  |  Adobe PDF(1187Kb)  |  收藏  |  浏览/下载：336/101  |  提交时间：2018/01/05
Laser Spot  Spot Segmentation  Contour Tracking  Visual Feedback  Beam And Target Alignment  
Measurement error analysis of binocular stereo vision: effective guidelines for bionic eyes 期刊论文
IET SCIENCE MEASUREMENT & TECHNOLOGY, 2017, 卷号: 11, 期号: 7, 页码: 829-838
作者:  Wang, Qingbin;  Yin, Yingjie;  Zou, Wei;  Xu, De;  Yin YJ(尹英杰)
浏览  |  Adobe PDF(2764Kb)  |  收藏  |  浏览/下载：426/123  |  提交时间：2018/01/04
Measurement Errors  Stereo Image Processing  Biocybernetics  Spatial Variables Measurement  Feature Extraction  Measurement Error Analysis  Binocular Stereo Vision  Bionic Eyes  Active Cameras  Rotation Angle Errors  Image Feature Extraction Errors  Depth Measurement  Calculation Formula  Angular Velocity  
A new vision measurement method based on active object gazing 期刊论文
International Journal of Advanced Robotic Systems, 2017, 卷号: 14, 期号: 4, 页码: 1-8
作者:  Xu, De(徐德);  Wang, Qingbin(王庆滨);  Xu D(徐德)
浏览  |  Adobe PDF(595Kb)  |  收藏  |  浏览/下载：328/90  |  提交时间：2018/01/04
Stereo Vision  Active Vision  Calibration  Depth Estimation  3-d Measurement  Visual System  
An Active Radial Compliance Method with Anisotropic Stiffness Learning for Precision Assembly 期刊论文
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING, 2017, 卷号: 18, 期号: 4, 页码: 471-478
作者:  Qin, Fang-Bo;  Xu, De;  Xing, Deng-Peng;  Zhang, Zheng-Tao
浏览  |  Adobe PDF(1183Kb)  |  收藏  |  浏览/下载：437/128  |  提交时间：2017/07/18
Active Compliance  Force Control  Learning From Experience  Vision Measurement  Precision Assembly