Suchergebnisse - random sample consensus point cloud segmentation algorithm

Point Cloud Measurement of Rubber Tread Dimension Based on RGB-Depth Camera von Huang, Luobin, Chen, Mingxia, Peng, Zihao

“… ), which reduces the reprojection error of the RGB-D camera. Secondly, to address the problem of the low accuracy of the traditional pixel metric ratio measurement method, the random sampling consensus point cloud segmentation algorithm (RANSAC …”
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Automated Arch Profile Extraction from Point Clouds and Its Application in Arch Bridge Construction Monitoring von Wei, Xiaojun, Liu, Yang, Zuo, Xianglong, Zhong, Jiwei, Yuan, Yihua, Wang, Yafei, Li, Cheng, Zou, Yang

“… —when extracting continuous, precise profiles from point clouds of complex spatially curved arch ribs, this paper proposes a multi-step point cloud processing workflow …”
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Adaptive random sample consensus approach for segmentation of building roof in airborne laser scanning point cloud von Dal Poz, Aluir P., Yano Ywata, Michelle S.

“… We use the RANdom SAmple Consensus (RANSAC) algorithm to detect roof plane points, taking into account two adaptive parameters for checking the consistency of ALS building points with the candidate planes …”
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Point cloud registration for agriculture and forestry crops based on calibration balls using Kinect V2 von Zhou, Sanzhang, Kang, Feng, Li, Wenbin, Kan, Jiangming, Zheng, Yongjun

“… of the experimental scenes. The Euclidean cluster extraction algorithm was employed for point cloud clustering and segmentation …”
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Automatic Docking Recognition and Location Algorithm of Port Oil Loading Arm Based on 3D Laser Point Cloud von He, Linglong, Chen, Yipeng, Zhao, Jianghai

“… oil arm based on 3D laser point cloud data. First of all, RANSAC(Random Sample Consensus …”
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Efficient terrestrial laser scan segmentation exploiting data structure von Mahmoudabadi, Hamid, Olsen, Michael J., Todorovic, Sinisa

“… This paper proposes a novel approach for point cloud segmentation using computer vision algorithms to analyze panoramic representations of individual laser scans …”
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Automatic fault interpretation based on point cloud fitting and segmentation von Zou, Qing, Zhang, Jiangshe, Zhang, Chunxia, Sun, Kai, Tao, Chunfeng, Guo, Rui

“… First, we utilize the point cloud filtering algorithm to preprocess the probability volume and then complete the coarse segmentation of the fault sticks by the region growth algorithm …”
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An improved segmentation approach for planar surfaces from unstructured 3D point clouds von Awwad, Tarek M., Zhu, Qing, Du, Zhiqiang, Zhang, Yeting

“… The extraction of object features from massive unstructured point clouds with different local densities, especially in the presence of random noisy points, is not a trivial task even if that feature is a planar surface …”
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Automatic point cloud segmentation using RANSAC and DBSCAN algorithm for indoor model von Harintaka, Harintaka, Wijaya, Calvin

“… Random sample consensus (RANSAC), a simple yet effective algorithm for segmenting planar surfaces such as walls, ceilings, and floors, is used in the segmentation process …”
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Cantilever Structure Segmentation and Parameters Detection Based on Concavity and Convexity of 3-D Point Clouds von Han, Zhiwei, Yang, Changjiang, Liu, Zhigang

“… In this paper, a new method of CSCS status detection based on the concave and convex characteristics of CSCS' 3-D point cloud data is proposed, which avoids the low efficiency of manual measurement …”
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Automatic extraction of discontinuity orientation from rock mass surface 3D point cloud von Chen, Jianqin, Zhu, Hehua, Li, Xiaojun

“… ) discontinuity segmentation and optimization, (3) discontinuity plane fitting using Random Sample Consensus (RANSAC) method, and (4 …”
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An Accurate and Efficient Supervoxel Re-Segmentation Approach for Large-Scale Point Clouds Using Plane Constraints von Lai, Baokang, Yuan, Yingtao, Zhang, Yueqiang, Hu, Biao, Yu, Qifeng

“… The accurate and efficient segmentation of large-scale urban point clouds is crucial for many higher-level tasks, such as boundary line extraction, point cloud registration, and deformation measurement …”
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Research on the Wear State Detection and Identification Method of Huller Rollers Based on Point Cloud Data von Wu, Zhaoyun, Jin, Tao, Liu, Xiaoxia, Zhang, Zhongwei, Zhao, Binbin, Zhang, Yehao, He, Xuewu

“… To address this issue, point cloud technology has been incorporated …”
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A novel robotic multi-layer multi-pass welding adaptive path generation method based on point cloud slicing and Transformer for saddle-shaped weld seams von Liu, Kai, Sheng, Zhongxi, Zhang, Wei, Zhong, Zhengbin, Yang, Xiao, Chen, Huabin, Xiao, Runquan

“… Firstly, a region-growing segmentation preprocessing-based Random Sample Consensus (RANSAC) fitting algorithm is proposed to separate the cylindrical pipes from the workpiece point cloud and extract their axes …”
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Automated recognition and rebar dimensional assessment of prefabricated bridge components from low-cost 3D laser scanner von Wang, Dong, Gao, Lin, Zheng, Junxing, Xi, Junbo, Zhong, Jichen

“… •Low-cost 3D laser scanner device based on a spinning 2D LiDAR was developed.•Automated extraction methods of bridge structural components from original point clouds were proposed …”
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Optimizing plane detection in point clouds through line sampling von Martínez-Otzeta, José María, Azpiazu, Jon, Mendialdua, Iñigo, Sierra, Basilio

“… (Random Sample Consensus) is a widely used technique for plane detection that iteratively evaluates the fitness of planes by sampling three points at a time from a point cloud …”
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Application of Point Cloud Segmentation Algorithm in High-Precision Virtual Assembly von Ma, Li, Zhang, Chunxin, Fu, Yingxun, Ma, Dongchao

“… An improved random sample consensus (RANSAC) point cloud segmentation algorithm is proposed to solve the problem of low accuracy and slow speed in extracting surface features of assembly devices due to the large number of iterations and poor …”
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Phenotyping of Silique Morphology in Oilseed Rape Using Skeletonization with Hierarchical Segmentation von Ma, Zhihong, Du, Ruiming, Xie, Jiayang, Sun, Dawei, Fang, Hui, Jiang, Lixi, Cen, Haiyan

“… ) algorithm to separate siliques from the whole plant using 3-dimensional (3D) point clouds. We combined the L1-median skeleton with the random sample consensus …”
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An Enhanced-RANSAC-Fusion and Kd-Tree-Filtering Pipeline Method for Multiscale 3-D Substation Components Extraction von Cao, Yuanyu, Cao, Jiayin, Xing, Linyan, Zhu, Bo, Bao, Qiao, Li, Tianyi, Wang, Qiang

“… An enhanced-RANSAC-fusion and Kd-Tree-filtering pipeline method (ERKF) is proposed to address the limitations of traditional random sample consensus (RANSAC …”
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Fast Cylinder Shape Matching Using Random Sample Consensus in Large Scale Point Cloud von Jin, Young-Hoon, Lee, Won-Hyung

“… In this paper, an algorithm is proposed that can perform cylinder type matching faster than the existing method in point clouds that represent space …”
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