3-D Point Cloud Registration Algorithm Based on Greedy Projection Triangulation

3-D Point Cloud Registration Algorithm Based on Greedy Projection Triangulation

To address the registration problem in current machine vision, a new three-dimensional (3-D) point cloud registration algorithm that combines fast point feature histograms (FPFH) and greedy projection triangulation is proposed. First, the feature information is comprehensively described using FPFH f...

Full description

Bibliographic Details
Main Authors:	Jian Liu, Di Bai, Li Chen
Format:	Article
Language:	English
Published:	MDPI AG 2018-09-01
Series:	Applied Sciences
Subjects:	machine vision point cloud registration greedy projection triangulation local correlation
Online Access:	http://www.mdpi.com/2076-3417/8/10/1776

Similar Items

An Automatic 3D Point Cloud Registration Method Based on Biological Vision
by: Jinbo Liu, et al.
Published: (2021-05-01)

Fast Registration Method for Point Clouds Using the Image Information
by: WANG Ruiyan, et al.
Published: (2016-01-01)

Linear-Based Incremental Co-Registration of MLS and Photogrammetric Point Clouds
by: Shiming Li, et al.
Published: (2021-06-01)

Parallel RANSAC for Point Cloud Registration
by: Koguciuk Daniel
Published: (2017-09-01)

Large Common Plansets-4-Points Congruent Sets for Point Cloud Registration
by: Cedrique Fotsing, et al.
Published: (2020-10-01)

Registration Algorithm for Point Cloud Based on Normalized Cross-Correlation
by: Yuan Huang, et al.
Published: (2019-01-01)

3D Convex Hull-Based Registration Method for Point Cloud Watermark Extraction
by: Bogdan Lipuš, et al.
Published: (2019-07-01)

A Termination Criterion for Probabilistic Point Clouds Registration
by: Simone Fontana, et al.
Published: (2021-03-01)

Color Point Cloud Registration Algorithm Based on Hue
by: Siyu Ren, et al.
Published: (2021-06-01)

Acquisition and Registration of Human Point Cloud Based on Depth Camera
by: Wang Huibai, et al.
Published: (2018-01-01)

Self-Supervised Point Set Local Descriptors for Point Cloud Registration
by: Yijun Yuan, et al.
Published: (2021-01-01)

Delaunay Triangulation-Based Spatial Clustering Technique for Enhanced Adjacent Boundary Detection and Segmentation of LiDAR 3D Point Clouds
by: Jongwon Kim, et al.
Published: (2019-09-01)

A histogram-based sampling method for point cloud registration
by: Ervan, O., et al.
Published: (2023)

Fast Method of Registration for 3D RGB Point Cloud with Improved Four Initial Point Pairs Algorithm
by: Peng Li, et al.
Published: (2019-12-01)

TIF-Reg: Point Cloud Registration with Transform-Invariant Features in SE(3)
by: Baifan Chen, et al.
Published: (2021-08-01)

Automatic hierarchical registration of aerial and terrestrial image-based point clouds
by: Amin Baghani, et al.
Published: (2018-01-01)

Evaluation of the ICP Algorithm in 3D Point Cloud Registration
by: Peng Li, et al.
Published: (2020-01-01)

An Iterative Closest Points Algorithm for Registration of 3D Laser Scanner Point Clouds with Geometric Features
by: Ying He, et al.
Published: (2017-08-01)

Efficient Coarse Registration of Pairwise TLS Point Clouds Using Ortho Projected Feature Images
by: Hua Liu, et al.
Published: (2020-04-01)

A Depth-Based Weighted Point Cloud Registration for Indoor Scene
by: Shuntao Liu, et al.
Published: (2018-10-01)

Efficient Rock Mass Point Cloud Registration Based on Local Invariants
by: Yunbiao Wang, et al.
Published: (2021-04-01)

Uniaxial Partitioning Strategy for Efficient Point Cloud Registration
by: Marques Soares, J., et al.
Published: (2022)

Registration of Multi-Sensor Bathymetric Point Clouds in Rural Areas Using Point-to-Grid Distances
by: Richard Boerner, et al.
Published: (2019-04-01)

Point Cloud Registration Algorithm Based on the Grey Wolf Optimizer
by: Yaqing Feng, et al.
Published: (2020-01-01)

Point Cloud Registration Algorithm Based on Cauchy Mixture Model
by: Chang Wang, et al.
Published: (2021-01-01)

Low Overlapping Point Cloud Registration Using Line Features Detection
by: Miloš Prokop, et al.
Published: (2019-12-01)

Deep learning based point cloud registration: an overview
by: Zhiyuan Zhang, et al.
Published: (2020-06-01)

Registration of multiple ToF camera point clouds
by: Hedlund, Tobias
Published: (2010)

Registration of Laser Scanning Point Clouds: A Review
by: Liang Cheng, et al.
Published: (2018-05-01)

Color Point Cloud Registration Based on Supervoxel Correspondence
by: Yang Yang, et al.
Published: (2020-01-01)

Point Cloud Registration in Multidirectional Affine Transformation
by: Chang Wang, et al.
Published: (2018-01-01)

LIDAR Point Cloud Registration for Sensing and Reconstruction of Unstructured Terrain
by: Qingyuan Zhu, et al.
Published: (2018-11-01)

An Accelerated and Robust Partial Registration Algorithm for Point Clouds
by: Xin Wang, et al.
Published: (2020-01-01)

Point Cloud Registration Based on MCMC-SA ICP Algorithm
by: Haibo Liu, et al.
Published: (2019-01-01)

Pairwise Registration Algorithm for Large-Scale Planar Point Cloud Used in Flatness Measurement
by: Zichao Shu, et al.
Published: (2021-07-01)

Pairwise Coarse Registration of Indoor Point Clouds Using 2D Line Features
by: Zhen Li, et al.
Published: (2021-01-01)

Evaluation of the Convergence Region of an Automated Registration Method for 3D Laser Scanner Point Clouds
by: Kwang-Ho Bae
Published: (2009-01-01)

Surface-Based Registration of Airborne and Terrestrial Mobile LiDAR Point Clouds
by: Tee-Ann Teo, et al.
Published: (2014-12-01)

BIM-based Registration and Localization of 3D Point Clouds of Indoor Scenes Using Geometric Features for Augmented Reality
by: Bilawal Mahmood, et al.
Published: (2020-07-01)

2.5D Multi-View Gait Recognition Based on Point Cloud Registration
by: Jin Tang, et al.
Published: (2014-03-01)