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SensorsThree-dimensional point cloud registration is a critical task in 3D perception for sensors that aims to determine the optimal alignment between two point clouds by finding the best transformation.
Xinrui Huang +3 more
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Point Cloud Registration in Multidirectional Affine Transformation
IEEE Photonics Journal, 2018 Point clouds scanned by three-dimensional lasers may be multidirectional affine transformed when the specifications for the products, laser scanners, and thermal expansion are incompatible.
Chang Wang +3 more
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MULTIPLE TLS POINT CLOUD REGISTRATION BASED ON POINT PROJECTION IMAGES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 In this paper, an efficient and robust registration method of multiple point clouds is proposed. In our research, we assume that point clouds are acquired by Terrestrial Laser Scanning (TLS) systems, and the scanned environments have a relatively flat ...
T. Sumi, H. Date, S. Kanai
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Fast color point cloud registration based on virtual viewpoint image
Frontiers in Physics, 2022 With the increase of point cloud scale, the time required by traditional ICP-related point cloud registration methods increases dramatically, which cannot meet the registration requirements of large-scale point clouds.
Zhao Hui +4 more
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Differentiable deep consistency for point cloud registration [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesPoint cloud registration is a key facilitator for mapping, autonomous driving, and robotic applications. Current neural-based pipelines focus on learning view-consistent descriptors for correspondence matching, typically followed by geometric ...
T. Zhang, S. Filin
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HDRNet: High‐Dimensional Regression Network for Point Cloud Registration
, 2023 ‐3D point cloud registration is a crucial topic in the reverse engineering, computer vision and robotics fields. The core of this problem is to estimate a transformation matrix for aligning the source point cloud with a target point cloud.
Li, Siyi +3 more
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Partial transport for point-cloud registration
Sampling Theory, Signal Processing, and Data AnalysisAbstract Point cloud registration is an important task in fields like robotics, computer graphics, and medical imaging, involving the determination of spatial relationships between point sets in 3D space. Real-world challenges, such as non-rigid movements and partial visibility, including occlusions and sensor noise, make non-rigid ...
Yiku Bai +3 more
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Rethinking Rotation Invariance with Point Cloud Registration
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Recent investigations on rotation invariance for 3D point clouds have been devoted to devising rotation-invariant feature descriptors or learning canonical spaces where objects are semantically aligned. Examinations of learning frameworks for invariance have seldom been looked into.
Jianhui Yu +2 more
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A review of rigid point cloud registration based on deep learning
Frontiers in NeuroroboticsWith the development of 3D scanning devices, point cloud registration is gradually being applied in various fields. Traditional point cloud registration methods face challenges in noise, low overlap, uneven density, and large data scale, which limits the
Lei Chen +4 more
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The Improvement of Iterative Closest Point with Edges of Projected Image
Virtual Reality & Intelligent Hardware, 2023 Background: There are many regular-shape objects in the artificial environment. It is difficult to distinguish the poses of these objects, when only geometric information is utilized.
Chen Wang
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