Suchergebnisse - "Random sampling consistency algorithm"

Image cascade matching method based on an improved random sampling consistency algorithm von Han, Ying, Li, Yan

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Encompass obstacle image detection method based on U-V disparity map and RANSAC algorithm von Xu, Huiqiong

“… Then, a random sampling consistency algorithm is combined to perform road line fitting and remove noise …”
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Fast 3D Object Motion Detection Algorithm Design von Li, Shih-An, Ho, Yun-Hung, Wong, Ching-Chang, Feng, Hsuan-Ming

“… In this paper, this paper designs and implements a three-dimensional (3D) LiDAR object motion detection algorithm for real-time identification of 3D object …”
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Automatic Hand-Eye Calibration Method of Welding Robot Based on Linear Structured Light von Dongmin, Li, Yu, Wang, Wenping, Ma, Xiujie, Liu, Guowei, Ding, Guohui, Zhang, Jiaqi, Fang

“… Secondly, an improved random sampling consistency algorithm which could determine the optimal iterative number was proposed to fit the contour point cloud, the contour point cloud model fitted was obtained …”
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Environmental thermal efficiency analysis and indoor green landscape design based on point cloud model von Song, Yufei, Lin, Guobiao

“… •The thermal efficiency analysis of indoor spaces is crucial for achieving sustainable development goals.•This study aims to explore indoor green landscape …”
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A KD-tree and random sample consensus-based 3D reconstruction model for 2D sports stadium images von Li, Xiaoli

“… Specifically, the improved KD-tree algorithm with the random sampling consistency algorithm has a better matching rate for the two-dimensional image data extraction of the stadium scene …”
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Analysis of Seismic Elastic Steel Structures Using a New Hybrid Optimization Deep Learning Model von Li, Ping, Liu, Wanfeng, Yan, Tiecheng

“… optimization point set metric space by combining cross attention mechanism, graph neural network, and random sampling consistency algorithm …”
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An Image Restoration Method for Improving Matching Robustness of Indoor Smoke Scene von Liang, Bowen, Tao, Yourui, Song, Yao, Li, Xinze

“… Smoggy interference caused by indoor fires makes machine vision technology challenging to apply in the fire rescue field. Smoke and condensed water vapor …”
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Target Localization and Grasping of Parallel Robots with Multi-Vision Based on Improved RANSAC Algorithm von Gao, Ruizhen, Li, Yang, Liu, Zhiqiang, Zhang, Shuai

“… Due to the accuracy of robot target localization with binocular-based vision being low, an improved random sampling consistency algorithm for performing complete parallel robot target localization …”
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Cutting Plane Based Cylinder Fitting Method with Incomplete Point Cloud Data for Digital Fringe Projection von Yu, Changzhi, Ji, Fang, Xue, Junpeng

“… Benefiting from the characteristics of full field scanning, high resolution and high precision, digital fringe projection measurement technology has been …”
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A Noise-Aware Multiple Imputation Algorithm for Missing Data von Li, Fangfang, Sun, Hui, Gu, Yu, Yu, Ge

“… A random sampling consistency algorithm is proposed to estimate the initial values of the parameters of the multiple imputation model to reduce the influence of noise data and improve the algorithm’s robustness. Experiments on two real datasets and two synthetic datasets verify the accuracy and efficiency of the proposed NPMI algorithm, and the results are analyzed …”
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A vibration-resistant detection method of weld position and gap for seam tracking of Z-weave GMAW von Gao, Jiapeng, Hong, Bo, Jia, Aiting, Zheng, Yi

“… An improved random sampling consistency algorithm and an adaptive grayscale centroid algorithm are proposed to overcome the interference of arc light and molten metal splash, achieving …”
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Tracking and recognition algorithm for a robot harvesting oscillating apples von Yang, Qinghua, Chen, Chen, Dai, Jiayu, Xun, Yi, Bao, Guanjun

“… Apple fruits on trees tend to swing because of wind or other natural causes, therefore reducing the accuracy of apple picking by robots. To increase the …”
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A quality improvement method for 3D laser slam point clouds based on geometric primitives of the scan scene von Sun, Wenxiao, Wang, Jian, Jin, Fengxiang, Yang, Yikun

“… More specifically, the point cloud data quality is evaluated through extracting the geometric primitives of the scanning scene using the random sampling consistency algorithm, and the high-accuracy …”
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An Image Restoration Method for Improving Matching Robustness of Indoor Smoke Scene: An Image Restoration Method for Improving Matching Robustness von Liang, Bowen, Tao, Yourui, Song, Yao, Li, Xinze

“… Smoggy interference caused by indoor fires makes machine vision technology challenging to apply in the fire rescue field. Smoke and condensed water vapor …”
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Inertial Monocular Visual Odometry Based on RUPF Algorithm von Hou, Juanrou, Wang, Zhanqing, Zhang, Yanshun

“… At the same time, a random sampling consistency algorithm is used to eliminate the mis-matching feature points in the three-view feature point tracking process, and then the …”
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3D Laser Scanning Acquisition and Modeling of Tunnel Engineering Point Cloud Data von Shi, Fangzhe, Yang, Jingxin, Li, Qiuyi, He, Junjie, Chen, Boning

“… For tunnel deformation analysis using traditional measurement methods to obtain tunnel section data, there are problems such as small data coverage and low …”
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Error matching elimination based on a local affine algorithm von Hu, Zhifeng, Xu, Gang, Chen, Ling, Fu, Nana, Zhen, Shuzhan

“… Aiming at the shortcomings of orb algorithm using the traditional RANSAC (random sampling consistency …”
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Research on Unknown Space Target Pose Estimation Method Based on Point Cloud von Zhang, Huan, Zhang, Yang, Feng, Qingjuan, Zhang, Kebei

“… As space in-orbit missions continue to develop, many uncooperative unknown space targets have occupied valuable orbital resources, seriously threatening the …”
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ISAR Image Matching and Three-Dimensional Scattering Imaging Based on Extracted Dominant Scatterers von Xu, Dan, Bie, Bowen, Sun, Guang-Cai, Xing, Mengdao, Pascazio, Vito

“… This paper studies inverse synthetic aperture radar (ISAR) image matching and three-dimensional (3D) scattering imaging based on extracted dominant scatterers …”
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