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单帧红外图像噪声去除方法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  李方舟
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非均匀性校正  条纹噪声  随机噪声  单帧图像  非局部均值  
分焦平面偏振成像关键技术研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  张俊超
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分焦平面  偏振成像  图像插值  图像去噪  非均匀性校正  
Phase unwrapping in optical metrology via denoised and convolutional segmentation networks 期刊论文
OPTICS EXPRESS, 2019, 卷号: 27, 期号: 10, 页码: 14903-14912
Authors:  Zhang JC(张俊超);  Tian, Xiaobo;  Shao, Jianbo;  Luo HB(罗海波);  Liang, Rongguang
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Fiber bundle imaging resolution enhancement using deep learning 期刊论文
OPTICS EXPRESS, 2019, 卷号: 27, 期号: 11, 页码: 15880-15890
Authors:  Shao, Jianbo;  Zhang JC(张俊超);  Liang, Rongguang;  Barnard, Kobus
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Fiber bundle image restoration using deep learning 期刊论文
Optics Letters, 2019, 卷号: 44, 期号: 5, 页码: 1080-1083
Authors:  Shao, Jianbo;  Zhang JC(张俊超);  Huang, Xiao;  Liang, Rongguang;  Barnard, Kobus
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An Adaptive Multi-Features Aware Correlation Filter for Visual Tracking 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 134772-134781
Authors:  Zhang XY(张祥越);  Ding QH(丁庆海);  Luo HB(罗海波);  Hui B(惠斌);  Chang Z(常铮)
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Visual tracking  correlation filter  adaptive multi-features fusion  computer vision  
Efficient 3D correspondence grouping by two-stage filtering 会议论文
2018 10th International Conference on Graphics and Image Processing (ICGIP 2018), Chengdu, China, December 12-14, 2018
Authors:  Lu RR(鲁荣荣);  Zhu F(朱枫);  Wu QX(吴清潇);  Kong YZ(孔研自)
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3D correspondence grouping  geometric constraint  geometric consistency  
A shape context based Hausdorff similarity measure in image matching 会议论文
Authors:  Ma TL(马天磊);  Liu YP(刘云鹏);  Shi ZL(史泽林);  Yin J(尹健)
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The Traditional Hausdorff Measure  Which Uses Euclidean Distance Metric (L2 Norm) To Define The Distance Between Coordinates Of Any Two Points  Has Poor Performance In The Presence Of The Rotation And Scale Change Although It Is Robust To The noIse And Occlusion. To Address The Problem  We DefIne a Novel Similarity Function IncludIng Two Parts In ThIs Paper. The First Part Is Hausdorff dIstance betWeen Shapes Which Is Calculated By exploitIng Shape Context That Is Rotation And Scale Invariant As The dIstance Metric. The Second Part Is The Cost Of matchIng betWeen Centroids. Unlike The Traditional Method  We Use The Centroid As Reference Point To Obtain Its Shape COntext That Embodies Global InformatiOn Of The Shape. Experiment Results DemOnstrate That The FunctiOn Value betWeen Shapes Is RotatiOn And Scale Invariant And The Matching Accuracy Of Our Algorithm Is Higher Than That Of Previously Proposed Algorithm On The Mepg-7 databAse.  
基于直线段编组的图像匹配方法研究 学位论文
硕士, 沈阳: 中国科学院沈阳自动化研究所, 2012
Authors:  王学娟
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边缘检测  直线段提取  直线段编组  图像匹配  
基于黎曼流形的目标跟踪和识别 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2010
Authors:  李广伟
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目标跟踪  目标识别  黎曼流形  李群  几何优化