NDLI: Automatic 3D point cloud registration algorithm based on triangle similarity ratio consistency

Content Provider	IET Digital Library
Author	Zou, Xuyan He, Hanwu Wu, Yueming Chen, Youbin Xu, Mingxi
Abstract	Three-dimensional (3D) point cloud registration is a fundamental key issue in 3D reconstruction, 3D object recognition and augmented reality. In this study, the authors propose a novel local feature descriptor called local angle statistics histogram (LASH) for efficient 3D point cloud registration. LASH forms a description of local shape geometries by encoding their properties on angles between the normal vector of the point and the vector formed by the point and other points in its local neighbourhood. In addition, they propose a 3D point cloud registration algorithm based on LASH. The registration algorithm firstly detects triangle matching points with consistent similarity ratios, and then aggregates each pair of triangular matching points into a set of matching points. They can use these matching sets to calculate multiple transformations between two point clouds. Finally, they use the error function to identify the best transformation and to achieve coarse alignment of the two point clouds. Experiments and comparisons with other global algorithms demonstrate that the proposed approach can be applied to register point clouds with considerable or limited overlaps and is robust to noise.
Starting Page	3314
Ending Page	3323
Page Count	10
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 14, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.1087
Journal	IET Image Processing
Publisher Date	2020-02-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Object Recognition Augmented Reality Computer Vision And Image Processing Technique Consistent Similarity Ratios Feature Extraction Image Matching Image Recognition Image Reconstruction Image Registration Image Representation LASH Local Angle Statistics Histogram Local Neighbourhood Local Shape Geometries Novel Local Feature Descriptor Object Recognition Optical, Image And Video Signal Processing Point Clouds Registration Algorithm Three-dimensional Point Cloud Registration Triangle Matching Point Triangle Similarity Ratio Consistency Triangular Matching Point Virtual Reality
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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