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Rectangular-structure-based pose estimation method for non-cooperative rendezvous 期刊论文
APPLIED OPTICS, 2018, 卷号: 57, 期号: 21, 页码: 6164-6173
Authors:  Zhang LM(张丽敏);  Zhu F(朱枫);  Hao YM(郝颖明);  Pan W(潘旺)
View  |  Adobe PDF(1641Kb)  |  Favorite  |  View/Download:106/18  |  Submit date:2018/08/08
Real-time large-scale dense mapping with surfels 期刊论文
Sensors (Switzerland), 2018, 卷号: 18, 期号: 5, 页码: 1-19
Authors:  Fu XY(付兴银);  Zhu F(朱枫);  Wu QX(吴清潇);  Sun YL(孙云雷);  Lu RR(鲁荣荣);  Yang, Ruigang
View  |  Adobe PDF(40946Kb)  |  Favorite  |  View/Download:206/33  |  Submit date:2018/06/17
Dense Mapping  Rgb-d Camera  Surfel  Loop Closure  Embedded Deformation Graph  
Search inliers based on redundant geometric constraints 期刊论文
Visual Computer, 2018, 页码: 1-14
Authors:  Lu RR(鲁荣荣);  Zhu F(朱枫);  Wu QX(吴清潇);  Fu XY(付兴银)
View  |  Adobe PDF(2545Kb)  |  Favorite  |  View/Download:198/10  |  Submit date:2018/11/18
Correspondence grouping  Geometric constraints  Correspondence voting  3D object recognition  
Fast and precise 6D pose estimation of textureless objects using the point cloud and gray image 期刊论文
Applied Optics, 2018, 卷号: 57, 期号: 28, 页码: 8154-8165
Authors:  Pan W(潘旺);  Zhu F(朱枫);  Hao YM(郝颖明);  Zhang LM(张丽敏)
View  |  Adobe PDF(1955Kb)  |  Favorite  |  View/Download:84/9  |  Submit date:2018/10/22
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)
View  |  Adobe PDF(1863Kb)  |  Favorite  |  View/Download:14/1  |  Submit date:2019/06/18
3D correspondence grouping  geometric constraint  geometric consistency  
Heuristic hybrid genetic algorithm based shape matching approach for the pose detection of backlight units in LCD module assembly 期刊论文
International Journal of Advanced Manufacturing Technology, 2016, 卷号: 87, 期号: 9, 页码: 3437-3447
Authors:  Cai HY(蔡慧英);  Zhu F(朱枫);  Wu QX(吴清潇);  Li SC(李思聪)
View  |  Adobe PDF(3868Kb)  |  Favorite  |  View/Download:258/19  |  Submit date:2016/04/30
Pose Detection  Backlight Unit  Heuristic Hybrid Genetic Algorithm  Dominant Orientation  
An Improved Real-time Visual Tracking Method for Space Non-cooperate Target 会议论文
Proceedings of SPIE - The International Society for Optical Engineering, Beijing, May 9-11, 2016
Authors:  Zhang LM(张丽敏);  Zhu F(朱枫);  Hao YM(郝颖明)
View  |  Adobe PDF(470Kb)  |  Favorite  |  View/Download:165/22  |  Submit date:2016/09/13
Visual Tracking  Space Non-cooperate Target  3d Model  False Matches  Sampled Points  Local Region Similarity  
多像机非共视场的非合作飞行器位姿测量方法 期刊论文
红外与激光工程, 2013, 卷号: 42, 期号: 3, 页码: 709-715
Authors:  苗锡奎;  朱枫;  郝颖明
View  |  Adobe PDF(1604Kb)  |  Favorite  |  View/Download:335/52  |  Submit date:2013/10/05
位姿测量  计算机视觉  在轨服务  非合作目标  多像机非共视场  
Vision Servoing Based on the Density Analysis of Texture Elements 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2013, 卷号: 10, 页码: 1-7
Authors:  Liu XM(刘晓民);  Zhu F(朱枫)
View  |  Adobe PDF(863Kb)  |  Favorite  |  View/Download:625/132  |  Submit date:2013/04/21
Vision Servoing  Texture  Station Keeping  Robot Vision Control  
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 会议论文
INTERNATIONAL SYMPOSIUM ON PHOTOELECTRONIC DETECTION AND IMAGING 2013: INFRARED IMAGING AND APPLICATIONS, Beijing, June 25-27, 2013
Authors:  Fan XP(范晓鹏);  Cai TF(蔡铁峰);  Zhu F(朱枫)
Adobe PDF(1305Kb)  |  Favorite  |  View/Download:329/52  |  Submit date:2013/12/26
The Paper Is Committed In Local Image Enhancement. At First  The Authors Propose An Adjacent Pixel Gray Order-preservIng PrInciple. Adjacent Pixel Gray Order-preservIng PrInciple.Is The Basement Of Local enhAncement Method Which Ensures That There Is No dIstortion In Processed Image. And Then  The Authors Propose An Iterative Algorithm  Which Could Stretch Gray-scale Difference Of Adjacent Pixels In Premise Of Not changIng Gray Magnitude RelAtionship Between Adjacent Pixels. At Last  The Authors Propose a Totally Reference Image Quality Assessment Method Based On Adjacent Pixel Gray Order-preserving Principle. According To This Quality Assessment Method  The Authors Made a Set Of Comparative Experiments With Local Histogram Equalization And Method. Experimental Results Show That The Proposed Enhancement Method.Can Get Higher Score And Provide Better Visual Effects  Fully Demonstrating Its Effectiveness. According To This Quality Assessment Method  The Proposed Method Shows a Good Effectiveness  Through Experimental Results And Comparison With Local Histogram Equalization Method.