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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：376/121  |  提交时间：2019/05/05
Geometric constraint  image feature extraction  microscopic vision  pose measurement  precision assembly  
A VELOCITY COMPENSATION VISUAL SERVO METHOD FOR OCULOMOTOR CONTROL OF BIONIC EYES 期刊论文
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2018, 卷号: 33, 期号: 1, 页码: 33-44
作者:  Zhu, Zheng;  Zou, Wei;  Wang, Qingbin;  Zhang, Feng
浏览  |  Adobe PDF(3729Kb)  |  收藏  |  浏览/下载：315/82  |  提交时间：2018/10/10
Image-based Visual Servo  Target Velocity Compensation  Bionic Eye  Oculomotor Control  
Detection of Power Line Insulator Defects using Aerial Images Analyzed with Convolutional Neural Networks 期刊论文
IEEE Transactions on Systems Man Cybernetics-Systems, 2018, 卷号: 50, 期号: 0, 页码: 0
作者:  Tao Xian;  Zhang Dapeng;  Wang Zihao;  Liu Xilong;  Zhang Hongyan;  Xu De
Adobe PDF(2627Kb)  |  收藏  |  浏览/下载：858/337  |  提交时间：2018/10/08
Defect Detection  Insulators  Aerial Image  Convolutional Neural Network  
Wire Defect Recognition of Spring-Wire Socket Using Multitask Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON COMPONENTS PACKAGING AND MANUFACTURING TECHNOLOGY, 2018, 卷号: 8, 期号: 4, 页码: 689-698
作者:  Tao, Xian;  Wang, Zihao;  Zhang, Zhengtao;  Zhang, Dapeng;  Xu, De;  Gong, Xinyi;  Zhang, Lei
浏览  |  Adobe PDF(4279Kb)  |  收藏  |  浏览/下载：494/191  |  提交时间：2018/10/02
Convolutional Neural Network (Cnn)  Defect Recognition  Machine Vision  Multitask Learning  Spring-wire Sockets  
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks 期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 9, 页码: 15
作者:  Tao Xian;  Zhang Dapeng;  Ma Wenzhi;  Liu Xilong;  Xu De;  Xian Tao
浏览  |  Adobe PDF(3978Kb)  |  收藏  |  浏览/下载：970/433  |  提交时间：2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection