Initial alignment for point cloud registration by improved differential evolution algorithm
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DOI: 10.1016/j.ijleo.2021.166856
Abstract: Abstract Aiming at the shortcomings of traditional point cloud registration algorithms, a point cloud initial alignment method based on the differential evolution algorithm is proposed. By designing an appropriate fitness function and selecting a proper… read more here.
Keywords: evolution; cloud registration; point; point cloud ... See more keywords
Point Cloud Registration Algorithm Based on the Grey Wolf Optimizer
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DOI: 10.1109/access.2020.3013706
Abstract: In view of the long computation time and low registration accuracy of the current point cloud registration algorithm, a point cloud registration algorithm based on the grey wolf optimizer (GWO) is proposed, denoted PCR-GW. The… read more here.
Keywords: registration algorithm; registration; point cloud; cloud registration ... See more keywords
Practical, Fast and Robust Point Cloud Registration for Scene Stitching and Object Localization
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DOI: 10.1109/access.2021.3140105
Abstract: 3D point cloud registration ranks among the most fundamental problems in remote sensing, photogrammetry, robotics and geometric computer vision. Due to the limited accuracy of 3D feature matching techniques, outliers may exist, sometimes even in… read more here.
Keywords: point cloud; cloud registration; practical fast;
Fast and High Accuracy 3D Point Cloud Registration for Automatic Reconstruction From Laser Scanning Data
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DOI: 10.1109/access.2023.3270502
Abstract: Point cloud registration from laser scanning data is a technique to establish the mapping relationship between source and target point clouds, which has been widely used in automatic 3D reconstruction, pose estimation, localization, and navigation.… read more here.
Keywords: cloud registration; point cloud; registration; laser scanning ... See more keywords
A Representation Separation Perspective to Correspondence-Free Unsupervised 3-D Point Cloud Registration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3132926
Abstract: 3-D point cloud registration in remote sensing field has been greatly advanced by deep learning-based methods, where the rigid transformation is either directly regressed from the two point clouds (correspondences-free approaches) or computed from the… read more here.
Keywords: representation; cloud registration; point; point cloud ... See more keywords
G3DOA: Generalizable 3D Descriptor With Overlap Attention for Point Cloud Registration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3142733
Abstract: Point cloud registration (PCR) is a key problem for robotics, autonomous driving, and other applications. Constructing generalizable 3D descriptors and determining whether a 3D descriptor is in the overlapping area are challenging tasks in PCR.… read more here.
Keywords: point cloud; point; cloud registration; overlapping area ... See more keywords
Point Cloud Registration Leveraging Structural Regularity in Manhattan World
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3185782
Abstract: Point cloud registration is an essential technique for many tasks including autonomous navigation, augmented/virtual reality and scene reconstruction. In man-made environments, abundant plane features with structural regularities are commonly seen, which is actually beneficial for… read more here.
Keywords: problem; cloud registration; point cloud; registration ... See more keywords
VRNet: Learning the Rectified Virtual Corresponding Points for 3D Point Cloud Registration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3143151
Abstract: 3D point cloud registration is fragile to outliers, which are labeled as the points without corresponding points. To handle this problem, a widely adopted strategy is to estimate the relative pose based only on some… read more here.
Keywords: corresponding points; cloud registration; point cloud; source ... See more keywords
A Weakly Supervised Graph Deep Learning Framework for Point Cloud Registration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3145474
Abstract: The point cloud registration is important and necessary for the applications of changing detection, deformation monitoring, etc., which is also challenging due to the vast clustered points, irregular and complex structures of spatial objects, and… read more here.
Keywords: point cloud; cloud registration; framework; point ... See more keywords
Fast Descriptors and Correspondence Propagation for Robust Global Point Cloud Registration
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DOI: 10.1109/tip.2017.2700727
Abstract: In this paper, we present a robust global approach for point cloud registration from uniformly sampled points. Based on eigenvalues and normals computed from multiple scales, we design fast descriptors to extract local structures of… read more here.
Keywords: seed; point; robust global; point cloud ... See more keywords
Point Cloud Registration Based on Direct Deep Features With Applications in Intelligent Vehicles
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2021.3123619
Abstract: Point cloud registration is widely used in the research of intelligent vehicles, typical problems include map matching, visual odometer, pose estimation, etc. This paper proposes a deep learning-based registration method that can input point clouds… read more here.
Keywords: cloud registration; point cloud; registration; registration based ... See more keywords