中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共5条，第1-5条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
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：402/129  |  提交时间：2019/05/05
Geometric constraint  image feature extraction  microscopic vision  pose measurement  precision assembly  
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
Adobe PDF(3978Kb)  |  收藏  |  浏览/下载：1026/464  |  提交时间：2018/10/02
metallic surface  autoencoder  convolutional neural network  defect detection  
A Robust Detection Method of Control Points for Calibration and Measurement With Defocused Images 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 卷号: 66, 期号: 10, 页码: 2725-2735
作者:  Ding, Wendong;  Liu, Xilong;  Xu, De;  Zhang, Dapeng;  Zhang, Zhengtao
浏览  |  Adobe PDF(2118Kb)  |  收藏  |  浏览/下载：525/125  |  提交时间：2018/01/04
Camera Calibration  Control Point Detection  Defocused Image  Point Spread Function  Vision Measurement  
Weak scratch detection and defect classification methods for a large-aperture optical element 期刊论文
OPTICS COMMUNICATIONS, 2017, 卷号: 387, 期号: 0, 页码: 390-400
作者:  Tao, Xian;  Xu, De;  Zhang, Zheng-Tao;  Zhang, Feng;  Liu, Xi-Long;  Zhang, Da-Peng
浏览  |  Adobe PDF(1478Kb)  |  收藏  |  浏览/下载：1051/484  |  提交时间：2017/02/14
Optical Inspection  Weak Scratches  Surface Defects Classification  Large-aperture Optical Element  
Vision Based Emergency Landing Field Auto-selecting Method for Fixed-wing UAVs 会议论文
2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), QingDao, 2016-12-3
作者:  Liu,Xilong;  Zhang,Mingyi;  Cao,Zhiqiang;  Xu,De
浏览  |  Adobe PDF(695Kb)  |  收藏  |  浏览/下载：410/164  |  提交时间：2016/10/26
Unmanned Aerial Vehicles  Vision Navigation  Auto-landing