Results 11 to 20 of about 20,533 (189)

A review of rigid point cloud registration based on deep learning [PDF]

open access: yesFrontiers in Neurorobotics, 2023
With 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
doaj   +4 more sources

Forest point cloud registration: a review [PDF]

open access: yesForestry Research
Point cloud registration is a necessary prerequisite for conducting precise, large-scale forest surveys and management. This paper focuses on providing a systematic overview and summary of the work on forest point cloud registration over the past 20 ...
Jincheng Liu   +5 more
doaj   +4 more sources

A method of point cloud data block registration with considering distance from point to surface [PDF]

open access: yesBulletin of the Polish Academy of Sciences: Technical Sciences, 2022
The number of scanner stations used to acquire point cloud data is limited, resulting in poor data registration. As a result, a cloud point block registration approach was proposed that took into account the distance between the point and the surface ...
Yinju Lu, Mingyi Duan, Shuguang Dai
doaj   +2 more sources

Fast Registration of Point Cloud Based on Custom Semantic Extraction

open access: yesSensors, 2022
With the increase in the amount of 3D point cloud data and the wide application of point cloud registration in various fields, the question of whether it is possible to quickly extract the key points of registration and perform accurate coarse ...
Jianing Wu   +5 more
doaj   +2 more sources

MULTIPLE TLS POINT CLOUD REGISTRATION BASED ON POINT PROJECTION IMAGES [PDF]

open access: yesThe 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
doaj   +2 more sources

Research on a point cloud registration method based on the combination of hash functions and the grey wolf optimizer [PDF]

open access: yesScientific Reports
Point cloud registration is the process of determining the optimal rigid body transformation matrix based on the corresponding point pairs between the source point cloud and the target point cloud to align the point clouds.
Changliang Zhang   +3 more
doaj   +2 more sources

Clique-like Point Cloud Registration: A Flexible Sampling Registration Method Based on Clique-like for Low-Overlapping Point Cloud [PDF]

open access: yesSensors
Three-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
doaj   +2 more sources

A Review of Point Cloud Registration Algorithms for Laser Scanners: Applications in Large-Scale Aircraft Measurement

open access: yesApplied Sciences, 2022
As 3D acquisition equipment picks up steam, point cloud registration has been applied in ever-increasing fields. This paper provides an exhaustive survey of the field of point cloud registration for laser scanners and examines its application in large ...
Haiqing Si, Jingxuan Qiu, Yao Li
doaj   +3 more sources

Point cloud registration with quantile assignment

open access: yesMachine Vision and Applications
Point cloud registration is a fundamental problem in computer vision. The problem encompasses critical tasks such as feature estimation, correspondence matching, and transformation estimation.
Karaşan, Oya   +4 more
core   +3 more sources

Colored Point Cloud Registration Revisited

open access: yes2017 IEEE International Conference on Computer Vision (ICCV), 2017
We present an algorithm for aligning two colored point clouds. The key idea is to optimize a joint photometric and geometric objective that locks the alignment along both the normal direction and the tangent plane.
Vladlen Koltun   +5 more
core   +2 more sources

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