Browse/Search Results:  1-10 of 11 Help

  Show only claimed items
Selected(0)Clear Items/Page:    Sort:
目标体的数量统计方法、装置及系统 专利
专利类型: 发明专利, 专利号: ZL201810947392.0, 申请日期: 2020-08-25,
Inventors:  谭杰;  吴科;  王敏丽;  刘振杰
Adobe PDF(1306Kb)  |  Favorite  |  View/Download:196/55  |  Submit date:2022/06/14
获取格雷码结构光图像的方法、系统、装置 专利
专利类型: 发明专利, 专利号: ZL201910988331.3, 申请日期: 2021-05-04, 公开日期: 2019-10-17
Inventors:  谭杰;  吴科;  夏海伦
Adobe PDF(1313Kb)  |  Favorite  |  View/Download:218/43  |  Submit date:2022/06/14
Cross-domain few-shot learning approach for lithium-ion battery surface defects classification using an improved siamese network 期刊论文
Authors:  Wu, Ke;  Tan, Jie;  Liu, Cheng Bao
Adobe PDF(5175Kb)  |  Favorite  |  View/Download:347/125  |  Submit date:2022/06/14
Few-shot Learning  3D measurement  defect detection  image classification  
基于结构光的高光表面三维缺陷检测方法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  吴科
Adobe PDF(35514Kb)  |  Favorite  |  View/Download:416/9  |  Submit date:2022/06/13
高光表面  结构光  多曝光融合  三维重建  缺陷检测  
Cross-attention-map-based regularization for adversarial domain adaptation 期刊论文
NEURAL NETWORKS, 2022, 卷号: 145, 页码: 128-138
Authors:  Jingwei, Li;  Huanjie, Wang;  Ke, Wu;  Chengbao, Liu;  Jie, Tan
Adobe PDF(1969Kb)  |  Favorite  |  View/Download:272/15  |  Submit date:2021/12/28
Domain adaptation  Few-shot learning  Attention mechanism  Contrastive learning  
Triplet Siamese Network Model for Lithium-ion Battery Defects Classification Using Few-shot Learning Approach 期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 2078, 期号: 1, 页码: 012037
Authors:  Wu,Ke;  Tan,Jie
Adobe PDF(3951Kb)  |  Favorite  |  View/Download:248/58  |  Submit date:2021/12/28
A novel approach to obtain optimal exposure for 3D shape reconstruction of high dynamic range objects 期刊论文
Measurement Science and Technology, 2021, 卷号: 32, 期号: 9, 页码: 1-1
Authors:  Wu,Ke;  Tan,Jie;  Liu,Chengbao
Adobe PDF(18867Kb)  |  Favorite  |  View/Download:312/47  |  Submit date:2021/08/15
structured light  fringe projection  3D reconstruction  auto-exposure  
Few-shot learning approach for 3D defect detection in lithium battery 期刊论文
Journal of Physics: Conference Series, 2021, 卷号: 1884, 期号: 1, 页码: 012024
Authors:  Wu,Ke;  Tan,Jie;  Li,Jingwei;  Liu,Chengbao
Adobe PDF(4836Kb)  |  Favorite  |  View/Download:290/52  |  Submit date:2021/05/24
Anomaly Detection  Few-shot Learning  
An Exposure Fusion-Based Structured Light Approach for the 3D Measurement of a Specular Surface 期刊论文
IEEE SENSORS JOURNAL, 2021, 卷号: 21, 期号: 5, 页码: 6314-6324
Authors:  Wu, Ke;  Tan, Jie;  Xia, Hai Lun;  Liu, Cheng Bao
Adobe PDF(5488Kb)  |  Favorite  |  View/Download:408/68  |  Submit date:2021/03/29
Surface reconstruction  Three-dimensional displays  Image reconstruction  Stereo vision  Reflective binary codes  Cameras  Sensors  Structured light  stereo vision  3D reconstruction  image fusion  
Colored Structured Light Patterns with Binocular Cameras for Fast and Low-cost 3-D Reconstruction 会议论文
, Beijing, China, 16-18 Aug. 2019
Authors:  Xia, Hailun;  Tan, Jie;  Wu, Ke
View  |  Adobe PDF(487Kb)  |  Favorite  |  View/Download:257/75  |  Submit date:2020/06/12
structured light  3-D reconstruction  colored code  stereo cameras