Please use this identifier to cite or link to this item:
PIRA download icon_1.1View/Download Full Text
Title: Pairwise point cloud registration using graph matching and rotation-invariant features
Authors: Huang, R
Yao, W 
Xu, Y
Ye, Z
Stilla, U
Issue Date: 2022
Source: IEEE geoscience and remote sensing letters, 2021, v. 19, 6502805, p. 1-5
Abstract: Registration is a fundamental but critical task in point cloud processing, which usually depends on finding element correspondence from two point clouds. However, the finding of reliable correspondence relies on establishing a robust and discriminative description of elements and the correct matching of corresponding elements. In this letter, we develop a coarse-to-fine registration strategy, which utilizes rotation-invariant features in frequency domain and a new graph matching (GM) method for iteratively searching correspondence. In the GM method, the similarity of both nodes and edges in the Euclidean and feature space is formulated to construct the optimization function. The proposed strategy is evaluated using two benchmark datasets and compared with several state-of-the-art methods. Regarding the experimental results, our proposed method can achieve a fine registration with rotation errors of less than 0.2° and translation errors of less than 0.1 m.
Keywords: Transforms
3-D descriptor
Graph matching (GM)
Point cloud registration
Rotation invariance
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE geoscience and remote sensing letters 
ISSN: 1545-598X
DOI: 10.1109/LGRS.2021.3109470
Rights: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for Publishedertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication R. Huang, W. Yao, Y. Xu, Z. Ye and U. Stilla, "Pairwise Point Cloud Registration Using Graph Matching and Rotation-Invariant Features," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022, Art no. 6502805 is available at
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Huang_Pairwise_Point_Cloud.pdfPre-Published version7.37 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

Last Week
Last month
Citations as of May 28, 2023


Citations as of May 28, 2023


Citations as of May 25, 2023


Citations as of May 25, 2023

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.