Point Cloud Surface Matching Method Based on Precise Matching of Critical Point

Authors

Xiaojuan Ning, School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China; Shaanxi Provincial Key Laboratory of Network Computing and Security Technology, Xi'an 710048, ChinaFollow
Chunxu Li, School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, ChinaFollow
Jiahao Wang, School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China
Jing Tang, School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China
Yinghui Wang, School of Artificial Intelligence and Computer, Jiangnan University, Wuxi 214122, China
Haiyan Jin, School of Computer Science and Engineering, Xi'an University of Technology, Xi'an 710048, China; Shaanxi Provincial Key Laboratory of Network Computing and Security Technology, Xi'an 710048, China

Abstract

To solve the low matching efficiency and insufficient accuracy of feature-based point cloud surface matching method during critical point matching, a point cloud surface matching method based on the pairing exaction of critical points is proposed.An improved 3D scale-invariant feature transform(3D-SIFT) algorithm based on curvature information is presented to extract the critical points. Fast point feature histograms(FPFH) feature, the angle between the vector from the center to critical points and the principal direction of the model are taken as the constraints to obtain the exact critical point matching point pair set. The initial matching of the model surface is implemented by the rigid body transformation parameters, and further the accurate matching of the model surface is achieved by iterative closest point(ICP).Experiments show that the approach can not only improve the critical point matching accuracy, but also enhance the matching efficiency. Compared with other methods, the method is slightly better on the matching speed.

Recommended Citation

Ning, Xiaojuan; Li, Chunxu; Wang, Jiahao; Tang, Jing; Wang, Yinghui; and Jin, Haiyan (2023) "Point Cloud Surface Matching Method Based on Precise Matching of Critical Point," Journal of System Simulation: Vol. 35: Iss. 6, Article 4.
DOI: 10.16182/j.issn1004731x.joss.22-0146
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss6/4

First Page

1169

Revised Date

2022-04-13

DOI Link

http://dx.doi.org/10.16182/j.issn1004731x.joss.22-0146

Last Page

1182

CLC

TP391

Recommended Citation

Xiaojuan Ning, Chunxu Li, Jiahao Wang, Jing Tang, Yinghui Wang, Haiyan Jin. Point Cloud Surface Matching Method Based on Precise Matching of Critical Point[J]. Journal of System Simulation, 2023, 35(6): 1169-1182.

DOI

10.16182/j.issn1004731x.joss.22-0146