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中国科学院沈阳自动化研究所机构知识库
Knowledge Management System of Shenyang Institute of Automation, CAS
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Collection
机器人学研究室 [56]
光电信息技术研究室 [2]
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田建东 [57]
唐延东 [46]
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基于形状上下文和方向梯度直方图特征的异源图像配准
期刊论文
信息与控制, 2019, 卷号: 48, 期号: 2, 页码: 149-155
Authors:
黄微
;
任卫红
;
朱琳琳
;
田建东
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Submit date:2019/02/09
图像配准
前景检测
形状上下文
方向梯度直方图(HOG)特征
Stacked dense networks for single-image snow removal
期刊论文
Neurocomputing, 2019, 卷号: 367, 期号: 20, 页码: 152-163
Authors:
Li PY(李鹏越)
;
Yun, Mengshen
;
Tian JD(田建东)
;
Tang YD(唐延东)
;
Wang GL(王国霖)
;
Wu CD(吴成东)
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Submit date:2019/08/31
Snow removal
Single image
Stacked dense networks
Image restoration
复杂气象条件下的机器人视觉
期刊论文
模式识别与人工智能, 2019, 卷号: 32, 期号: 1, 页码: 24-35
Authors:
田建东
;
刘连庆
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View/Download:68/8
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Submit date:2019/03/30
机器人视觉
雨雪去除
去雾
散射去除
Multi-scale Densely Connected Dehazing Network
会议论文
Intelligent Robotics and Applications - 12th International Conference, ICIRA 2019, Proceedings, Shenyang, China, August 8-11, 2019
Authors:
Cui T(崔童)
;
Zhang Z(张箴)
;
Tang YD(唐延东)
;
Tan JD(田建东)
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Submit date:2019/09/05
Deep learning image dehazing
Multi-scale dense network
One-in-all training
Large-scale dataset
面向机器人环境共融的图像去雪算法
期刊论文
机械工程学报, 2019, 卷号: 55, 期号: 11, 页码: 98-104
Authors:
李鹏越
;
田建东
;
王国霖
;
李小毛
;
唐延东
;
吴成东
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Submit date:2019/04/13
机器人
环境共融
去雪
深度学习
基于吸收透射率补偿及时空导向图像滤波的实时视频去雾
期刊论文
机器人, 2019, 卷号: 41, 期号: 6, 页码: 761-770
Authors:
崔童
;
田建东
;
王强
;
任卫红
;
唐延东
;
崔童
;
田建东
;
王强
;
任卫红
;
唐延东
Adobe PDF(1046Kb)
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Submit date:2019/07/14
视频去雾
时空导向图像滤波
亮度饱和度比
吸收透射率补偿
基于双透射率水下成像模型的图像颜色校正
期刊论文
光学学报, 2019, 卷号: 39, 期号: 9, 页码: 1-10
Authors:
王国霖
;
田建东
;
李鹏越
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Submit date:2019/06/18
水下图像
双透射率
暗通道先验
颜色校正
Evaluation of shadow features
期刊论文
IET Computer Vision, 2018, 卷号: 12, 期号: 1, 页码: 95-103
Authors:
Qu JQ(屈靓琼)
;
Tian JD(田建东)
;
Fan HJ(范慧杰)
;
Li WT(李文涛)
;
Tang YD(唐延东)
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Submit date:2017/12/21
Tri-SIFT: A triangulation-based detection and matching algorithm for fish-eye images
期刊论文
Information (Switzerland), 2018, 卷号: 9, 期号: 12, 页码: 1-15
Authors:
Wang ED(王恩德)
;
Jiao, Jinlei
;
Yang, Jingchao
;
Liang, Dongyi
;
Tian JD(田建东)
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Adobe PDF(3503Kb)
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Submit date:2019/01/13
SIFT
triangulation
detection
matching
fish-eye
Moving object tracking based on millimeter-wave radar and vision sensor
期刊论文
Journal of Applied Science and Engineering, 2018, 卷号: 21, 期号: 4, 页码: 609-614
Authors:
Huang W(黄微)
;
Zhang Z(张箴)
;
Li WT(李文涛)
;
Tian JD(田建东)
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Adobe PDF(606Kb)
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View/Download:42/5
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Submit date:2019/06/18
Moving Object Tracking
Sensor Fusion
Adaptive Background Subtraction
Millimeter-wave Radar
Vision Sensor