RANSAC taikymas klaidingiems duomenims aptikti
, 2005 Up-to-date digital photogrammetry involves operations on huge data sets, and with classical image processing procedures it might be time consuming to find out the best solution.
Fröhner, Wolfgang, Ruzgienė, Birutė
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Entry Point Localisation for Percutaneous Surgical Robots Based on Concentric Fiducial Patches and Robust Surface Fitting. [PDF]
Int J Med RobotDeng Y, Jiang Q, Wang J, Tang J.
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Multi-Object RANSAC: Efficient Plane Clustering Method in a Clutter [PDF]
In this paper, we propose a novel method for plane clustering specialized in cluttered scenes using an RGB-D camera and validate its effectiveness through robot grasping experiments.
Lim, Seunghyeon +3 more
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Comparative Evaluation of Cross-Sectional Geometric Feature Extraction Algorithms for LiDAR-Based Inclination Detection of Lattice Steel Towers. [PDF]
Sensors (Basel)Zhou M, Wu G, Qin L, Li S.
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Line-Scan Defect Detection for Printed Laminated Films Using Multi-Template Matching and Residual-Driven Column-Band Compensation. [PDF]
Sensors (Basel)Zhang P, Ren W.
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A strengthened soft-point registration network for LiDAR point cloud registration. [PDF]
PLoS OneChen Y +6 more
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A 3D Vision-Based Localization Method for Automated Loading of Large-Sized Heat Exchangers. [PDF]
Sensors (Basel)Huang Z +6 more
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An AR 3D Tracking and Registration Method That Integrates Optical Flow Tracking and Mean Shift. [PDF]
Sensors (Basel)Yong J, Lei X, Dang J.
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A High-Precision Method for Extracting Lateral Deformation in Operational Shield Tunnels Based on LiDAR Point Cloud Analysis. [PDF]
Sensors (Basel)Tang S, Xu X.
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RANSAC guided modeling and evolutionary optimization of UV/sulfite for ofloxacin removal. [PDF]
Sci RepRasolevandi T +3 more
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