Results 51 to 60 of about 5,651,580 (291)
MULTIPLE TLS POINT CLOUD REGISTRATION BASED ON POINT PROJECTION IMAGES [PDF]
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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Study on TLS Point Cloud Registration Algorithm for Large-Scale Outdoor Weak Geometric Features
With the development of societies, the exploitation of mountains and forests is increasing to meet the needs of tourism, mineral resources, and environmental protection.
Chen Li +3 more
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Partial Point Cloud Registration Via Soft Segmentation
Most existing correspondence-free registration methods suffer from performance degradation in partial overlapped point clouds. To solve the partial overlapped point cloud registration, this paper proposes, SegReg, a soft Segmentationbased correspondence ...
Wu, Q, Mei, G, Huang, X, Zhang, J
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Point Cloud Registration in Multidirectional Affine Transformation
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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Fast color point cloud registration based on virtual viewpoint image
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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Voxel Grid-Based Fast Registration of Terrestrial Point Cloud
Terrestrial laser scanning (TLS) is an important part of urban reconstruction and terrain surveying. In TLS applications, 4-point congruent set (4PCS) technology is widely used for the global registration of point clouds.
Man Qi +3 more
core +1 more source
Differentiable deep consistency for point cloud registration [PDF]
Point 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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Partial transport for point-cloud registration
Abstract 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
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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The Improvement of Iterative Closest Point with Edges of Projected Image
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
doaj +1 more source

