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检索条件"主题词=Iterative Closest Point algorithm"
1671 条 记 录,以下是81-90 订阅
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Provably Approximated point Cloud Registration
Provably Approximated Point Cloud Registration
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International Conference on Computer Vision (ICCV)
作者: Ibrahim Jubran Alaa Maalouf Ron Kimmel Dan Feldman University of Haifa Technion
The goal of the alignment problem is to align a (given) point cloud P = {p 1 , ⋯,p n } to another (observed) point cloud Q = {q 1 , ⋯,q n }. That is, to compute a rotation matrix R ∈ ℝ 3×3 and a translation vec... 详细信息
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A Plane-based Approach for Indoor point Clouds Registration
A Plane-based Approach for Indoor Point Clouds Registration
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International Conference on Pattern Recognition
作者: Ketty Favre Muriel Pressigout Eric Marchand Luce Morin Univ Rennes CNRS IETR - UMR 6164 Rennes France Univ Rennes INSA Rennes CNRS IETR - UMR 6164 Rennes France Univ Rennes Inria CNRS IRISA Rennes France
iterative closest point (ICP) is one of the mostly used algorithms for 3D point clouds registration. This classical approach can be impacted by the large number of points contained in a point cloud. Planar structures,... 详细信息
来源: 评论
Cooperative Cache-Aware Recommendation System for Multiple Internet Content Providers
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IEEE WIRELESS COMMUNICATIONS LETTERS 2020年 第12期9卷 2112-2115页
作者: Zheng, Dongsheng Chen, Yingyang Yin, Mingxi Jiao, Bingli Peking Univ Dept Elect Beijing 100871 Peoples R China Jinan Univ Coll Informat Sci & Technol Guangzhou 510632 Peoples R China
Joint optimization of caching and recommendation is expected to achieve a beneficial tradeoff between caching efficiency and users' quality of experience (QoE). To this end, we study a cooperative cache-aware reco... 详细信息
来源: 评论
Requirement Analysis of Lidar Sensor Setups for Self-Localization in Automated Valet Parking
Requirement Analysis of Lidar Sensor Setups for Self-Localiz...
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International Conference on Control, Automation and Systems ( ICCAS)
作者: Marcel Kascha Roman Henze Institute of Automotive Engineering Technische Universität Braunschweig Braunschweig Germany
In the use case of automated valet parking (AVP), localization must be accomplished based on environmental sensors due to the lack of satellite visibility. Previous research has presented suitable methods, which, on t... 详细信息
来源: 评论
Sampling Network Guided Cross-Entropy Method for Unsupervised point Cloud Registration
Sampling Network Guided Cross-Entropy Method for Unsupervise...
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International Conference on Computer Vision (ICCV)
作者: Haobo Jiang Yaqi Shen Jin Xie Jun Li Jianjun Qian Jian Yang PCA Lab Nanjing University of Science and Technology China
In this paper, by modeling the point cloud registration task as a Markov decision process, we propose an end-to-end deep model embedded with the cross-entropy method (CEM) for unsupervised 3D registration. Our model c... 详细信息
来源: 评论
Plane-based Accurate Registration of Real-world point Clouds
Plane-based Accurate Registration of Real-world Point Clouds
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IEEE International Conference on Systems, Man and Cybernetics
作者: Ketty Favre Muriel Pressigout Eric Marchand Luce Morin Univ Rennes CNRS IETR - UMR 6164 Rennes France Univ Rennes INSA Rennes CNRS IETR - UMR 6164 Rennes France Univ Rennes Inria CNRS IRISA Rennes France
Traditional 3D point clouds registration algorithms, based on iterative closest point (ICP), rely on point matching of large point clouds. In well-structured environments, such as buildings, planes can be segmented an... 详细信息
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An Improved ICP point Cloud Registration algorithm Based on Three-points Congruent Sets
An Improved ICP Point Cloud Registration Algorithm Based on ...
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International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM)
作者: Peng Yu Yongqian Yang Aizhong Tian Changqing Du Xiaofan Liu Biying Pei Kaixin Gu Yimu Guo Songyang Che State Grid Jiangsu Electric Power Engineering Consulting Co. Nanjing China
ICP (iterative closest point) is the most widely used point cloud registration algorithm. However, some shortcomings still exist in this algorithm, such as (1) the need to manually determine the initial value of the r... 详细信息
来源: 评论
Strip adjustment of airborne laserscanning data with conformal geometric algebra  11
Strip adjustment of airborne laserscanning data with conform...
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Joint 11th International Conference on Soft Computing and Intelligent Systems and 21st International Symposium on Advanced Intelligent Systems (SCIS-ISIS)
作者: Hitzer, Eckhard Benger, Werner Niederwieser, Manfred Baran, Ramona Steinbacher, Frank Int Christian Univ Coll Liberal Arts Tokyo Japan Airborne HydroMapping GmbH Feldstr 1b A-6020 Innsbruck Austria Louisiana State Univ Ctr Computat & Technol Baton Rouge LA 70803 USA
In this work we describe how to use the iterative closest point method for the adjustment of airborne laser scanning data strips in the framework of conformal geometric algebra, using rotors, translators, motors and d... 详细信息
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An automatic method for the measurement of coarse particle movement in a mountain riverbed
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MEASUREMENT 2021年 174卷 109029-109029页
作者: Walicka, Agata Pfeifer, Norbert Borkowski, Andrzej Jozkow, Grzegorz Wroclaw Univ Environm & Life Sci Inst Geodesy & Geoinformat Grunwaldzka 53 PL-50357 Wroclaw Poland TU Wien Dept Geodesy & Geoinformat Wiedner Hauptstr 8 Vienna Austria
In this paper, we propose an automatic approach that is able to recognize the corresponding particles in multitemporal point clouds and to determine 3D displacement vectors and the rotation parameters between them. Th... 详细信息
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3D Reconstruction of Edge Line by ICP-based Matching with Geometric Constraints
3D Reconstruction of Edge Line by ICP-based Matching with Ge...
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Conference on Digital Image Computing - Techniques and Applications (DICTA)
作者: Takeyama, Kojiro Toyota Cent Res & Dev Labs Inc Nagakute Aichi Japan
This paper presents a novel edge-based 3D reconstruction method using a monocular camera. The edge information is known to be illumination-invariant and to include abundant structural information in a relatively small... 详细信息
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