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Open Access

A review of point set registration: from fundamental algorithms to geometric quality inspection of aviation complex parts

Haonan PEIa,b,, Wenjing ZHOUa,b, Puyu ZHANGa,b, Ming LUOa,b( )
Key Laboratory of High Performance Manufacturing for Aero Engine (Northwestern Polytechnical University), Ministry of Industry and Information Technology, Xi’an 710072, China
Engineering Research Center of Advanced Manufacturing Technology for Aero Engine, Ministry of Education, Northwestern Polytechnical University, Xi’an 710072, China

Peer review under responsibility of Editorial Committee of JAMST

Show Author Information

Abstract

Point set registration (PSR) is a key component of computer vision and pattern recognition tasks, with the goal of assigning correspondence and recovering the transformation that maps one point set to another, to achieve optimal alignment. The geometric quality inspection of aviation complex parts is mainly based on the digitization of the object, and realizes the effective evaluation of geometric quality by analyzing the digital information that characterizes the shape of object, which is of great significance for the high performance and reliability service of aircraft. However, PSR is the mathematical foundation for solving the point cloud alignment problems in the geometric quality inspection of aviation complex parts, the association between the two has not been systematically discussed, which leads to unfavorable research results. Therefore, this paper first gives a mathematical description of PSR. Secondly, the representative fundamental algorithms for PSR are introduced, mainly include: distance-based PSR algorithms, Kernel correlation-based PSR algorithm, mixture model-based PSR algorithms, global-local structure preservation-based PSR algorithms, feature-based PSR algorithms and learning-based PSR algorithms. Besides, the ideas, basic steps, and limitations of these are revealed. Thirdly, the works on point cloud alignment problems in geometric quality inspection of aviation complex parts and the PSR algorithms used are reviewed, i.e. the application of PSR. Finally, the development direction of PSR and the challenges faced in the geometric quality inspection of aviation complex parts are discussed.

Keywords

Point set registrationFundamental algorithmsGeometric quality inspectionAviation complex partsPoint cloud alignment

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Journal of Advanced Manufacturing Science and Technology
Volume 3 Issue 4,
October 2023
DOI: 10.51393/j.jamst.2023012
Cite this article:
PEI H, ZHOU W, ZHANG P, et al. A review of point set registration: from fundamental algorithms to geometric quality inspection of aviation complex parts. Journal of Advanced Manufacturing Science and Technology, 2023, 3(4): 2023012. https://doi.org/10.51393/j.jamst.2023012

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Received: 20 May 2023
Revised: 25 June 2023
Accepted: 10 July 2023
Published: 15 October 2023
©2023 JAMST

This is an Open Access article distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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