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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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point Cloud Registration with Virtual Interest points from Implicit Quadric Surface Intersections  7
Point Cloud Registration with Virtual Interest Points from I...
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International Conference on 3D Vision (3DV)
作者: Ahmed, Mirza Tahir Marshall, Joshua A. Greenspan, Michael Queens Univ Dept Elect & Comp Engn Kingston ON Canada
A novel method is presented to robustly and efficiently register two partially overlapping point clouds. Following segmentation, the regions are represented as implicit quadric surfaces using polynomials of degree two... 详细信息
来源: 评论
EOE: Expected Overlap Estimation over Unstructured point Cloud Data  6
EOE: Expected Overlap Estimation over Unstructured Point Clo...
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6th International Conference on 3D Vision (3DV)
作者: Eckart, Benjamin Kim, Kihwan Kautz, Jan NVIDIA Res Santa Clara CA 95051 USA
We present an iterative overlap estimation technique to augment existing point cloud registration algorithms that can achieve high performance in difficult real-world situations where large pose displacement and non-o... 详细信息
来源: 评论
Local-to-Global point Cloud Registration using a Dictionary of Viewpoint Descriptors  16
Local-to-Global Point Cloud Registration using a Dictionary ...
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16th IEEE International Conference on Computer Vision (ICCV)
作者: Avidar, David Malah, David Barzohar, Meir Technion Dept Elect Engn IL-32000 Haifa Israel
Local-to global point cloud registration is a challenging task due to the substantial differences between these two types of data, and the different techniques used to acquire them. Global clouds cover large-scale env... 详细信息
来源: 评论
Inclusion of Angular Momentum During Planning for Capture point Based Walking
Inclusion of Angular Momentum During Planning for Capture Po...
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Seyde, Tim Shrivastava, Apoorv Englsberger, Johannes Bertrand, Sylvain Pratt, Jerry Griffin, Robert J. Florida Inst Human & Machine Cognit IHMC 40 S Alcaniz St Pensacola FL 32502 USA German Aerosp Ctr DLR Inst Robot & Mechatron D-82234 Wessling Germany
When walking at high speeds, the swing legs of robots produce a non-negligible angular momentum rate. To accommodate this, we provide a reference trajectory generator for bipedal walking that incorporates predicted ce... 详细信息
来源: 评论
Inverse Composition Discriminative Optimization for point Cloud Registration  31
Inverse Composition Discriminative Optimization for Point Cl...
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31st IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Vongkulbhisal, Jayakorn Ugalde, Benat Irastorza De la Torre, Fernando Costeira, Joao P. Univ Lisbon ISR IST Lisbon Portugal Carnegie Mellon Univ Pittsburgh PA 15213 USA Facebook Inc Menlo Pk CA USA
Rigid point Cloud Registration (PCReg) refers to the problem of finding the rigid transformation between two sets of point clouds. This problem is particularly important due to the advances in new 3D sensing hardware,... 详细信息
来源: 评论
point Cloud Registration using Congruent Pyramids
Point Cloud Registration using Congruent Pyramids
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Krishnan, Aravindhan K. Saripalli, Srikanth Arizona State Univ Sch Earth & Space Explorat Tempe AZ 85287 USA
present a method to compute an initial alignment for pairwise registration of point clouds. This method uses the properties of a rigid body transformation-the ratio of lengths is preserved, the euclidean distance betw... 详细信息
来源: 评论
Color point Cloud Registration with 4D ICP algorithm
Color Point Cloud Registration with 4D ICP Algorithm
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IEEE International Conference on Robotics and Automation (ICRA)
作者: Men, Hao Gebre, Biruk Pochiraju, Kishore Stevens Inst Technol Dept Mech Engn Hoboken NJ 07030 USA
This paper presents methodologies to accelerate the registration of 3D point cloud segments by using hue data from the associated imagery. The proposed variant of the iterative closest point (ICP) algorithm combines b... 详细信息
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NRGA Gravitational Approach for Non-Rigid point Set Registration  6
NRGA Gravitational Approach for Non-Rigid Point Set Registra...
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6th International Conference on 3D Vision (3DV)
作者: Ali, Sk Aziz Golyanik, Vladislav Stricker, Didier Univ Kaiserslautern Kaiserslautern Germany German Res Ctr Artificial Intelligence DFKI GmbH Kaiserslautern Germany
Recovery of correspondences between point sets which differ by some non-rigid transformation is an ill-posed problem. Many existing methods underperform on noisy or corrupted input data. In this study, a novel physics... 详细信息
来源: 评论
Shape Reconstruction from Multiple RGB-D point Cloud Registration  12
Shape Reconstruction from Multiple RGB-D Point Cloud Registr...
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12th IEEE International Conference on Industrial Informatics (INDIN)
作者: Takimoto, Rogerio Y. Tsuzuki, Marcos S. G. Vogelaar, Renato Martins, Thiago C. Iwao, Yuma Gotoh, Toshiyuki Kagei, Seiichiro Gallo, Giulliano B. Garcia, Marcos A. A. Tiba, Hamilton Univ Sao Paulo Computat Geometry Lab Escola Politecn BR-09500900 Sao Paulo Brazil Yokohama Natl Univ Kanagawa Japan Companhia Energet Estado Sao Paulo Sao Paulo Brazil
The objective of this work is to present an object 3D reconstruction method using the point color information. The object 3D reconstruction is performed by combining point clouds obtained from different viewpoints usi... 详细信息
来源: 评论
Efficient and Accurate Registration of point Clouds with Plane to Plane Correspondences  16
Efficient and Accurate Registration of Point Clouds with Pla...
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16th IEEE International Conference on Computer Vision (ICCV)
作者: Foerstner, Wolfgang Khoshelham, Kourosh Univ Bonn Inst Geodesy & Geoinformat Bonn Germany Univ Melbourne Dept Infrastruct Engn Melbourne Vic Australia Purdue Univ Lyles Sch Civil Engn W Lafayette IN 47907 USA
We propose and analyse methods to efficiently register point clouds based on plane correspondences. This is relevant in man-made environments, where most objects are bounded by planar surfaces. Based on a segmentation... 详细信息
来源: 评论