Results 71 to 80 of about 20,533 (189)

Partial Point Cloud Registration Via Soft Segmentation

, 2023
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
core   +1 more source

Fast and High Accuracy 3D Point Cloud Registration for Automatic Reconstruction From Laser Scanning Data

IEEE Access, 2023
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. While
Anran Xu, Lei Rao, Guangyu Fan, Niansheng Chen   +3 more
doaj   +1 more source

Comparative study of point cloud registration approaches

, 2023
Point cloud registration is to obtain a rigid transformation between two different point clouds collected by radar sensors or depth cameras. As a fundamental step in many processes such as reconstruction or segmentation tasks, and Simultaneous ...
Xu, Mingxi
core  

Robust Point Clouds Registration

, 2017
Point clouds registration is a very well studied problem, with many different and efficient solutions. Nevertheless, the approaches in the literature rely heavily on a good initialization and on a good set of parameters. These approaches could be roughly divided into two categories: those based on features and the so-called closest-point-based.
openaire   +3 more sources

Automated recognition of 3D CAD model objects in laser scans and calculation of as-built dimensions for dimensional compliance control in construction

, 2010
The construction industry lacks solutions for accurately, comprehensively and efficiently tracking the three-dimensional (3D) status of buildings under construction.
Bosché, Frédéric, Frédéric Bosché
core   +1 more source

Voxel Grid-Based Fast Registration of Terrestrial Point Cloud

, 2021
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, Biao Xiong, Weize Jiang, Dengke Li   +3 more
core   +1 more source

Spatial deformable transformer for 3D point cloud registration. [PDF]

Sci Rep
Deformable attention only focuses on a small group of key sample-points around the reference point and make itself be able to capture dynamically the local features of input feature map without considering the size of the feature map.
Xiong F, Kong Y, Xie S, Kuang L, Han X.
europepmc   +2 more sources

Point cloud registration algorithm based on NPFC neighborhood feature descriptor

, 2023
Point cloud registration technology is widely used in machine vision, reverse engineering, and other neighborhood applications, and its efficiency and accuracy have an important impact on product data models. Aiming at the problems of the traditional ICP
Chen Xingyu (15346099), Zhang Mingde (15365929), Xie Le (15365932)   +2 more
core   +1 more source

Overlap-Aware Hierarchical Decoder for point cloud registration

Journal of King Saud University: Computer and Information Sciences
Extracting high-quality correspondences is a critical challenge in current feature-learning based point cloud registration methods. Recently, coarse-to-fine network structures have shown great potential in addressing this challenge.
Qiang Zhang, Dongqiang Wang, Qianwen Yue
doaj   +1 more source

Research on a Point Cloud Registration Method Based on Dynamic Neighborhood Features

Applied Sciences
This paper introduces a method that can enhance the accuracy and efficiency of point cloud data registration. This method selects the centroid of the point cloud as the feature point and uses the projected distance of this feature point within the ...
Xinrui Liu, Rutao Wang, Zongsheng Wang
doaj   +1 more source