Research on denoising algorithm of 3D point cloud data based on curvature change

Shigang Wang; Jiawen He; Shuai Peng; Xueshan Gao

doi:10.1088/1757-899X/768/7/072041

Research on denoising algorithm of 3D point cloud data based on curvature change

Shigang Wang^*, Jiawen He, Shuai Peng, Xueshan Gao

^*Corresponding author for this work

Guangxi University of Technology

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

This paper focuses on the algorithm of denoising for 3D point cloud data in 3D modelling technology. Through the problem that it is difficult to retain the feature points of traditional 3D point cloud data denoising and the denoising amplitude is too large, taking the change of Gaussian curvature value of sampling points as the basis of region division, an improved denoising algorithm based on the combination of median denoising algorithm and bilateral denoising algorithm is proposed The algorithm is implemented and simulated by pseudo code. The simulation results show that the 3D point cloud data denoising algorithm based on curvature change not only has a higher ability in denoising effect and feature retention effect, but also has a greater advantage in the execution time of the denoising algorithm.

Original language	English
Article number	072041
Journal	IOP Conference Series: Materials Science and Engineering
Volume	768
Issue number	7
DOIs	https://doi.org/10.1088/1757-899X/768/7/072041
Publication status	Published - 30 Mar 2020
Externally published	Yes
Event	3rd International Symposium on Application of Materials Science and Energy Materials, SAMSE 2019 - Shanghai, China Duration: 30 Dec 2019 → 31 Dec 2019

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10.1088/1757-899X/768/7/072041

Cite this

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title = "Research on denoising algorithm of 3D point cloud data based on curvature change",

abstract = "This paper focuses on the algorithm of denoising for 3D point cloud data in 3D modelling technology. Through the problem that it is difficult to retain the feature points of traditional 3D point cloud data denoising and the denoising amplitude is too large, taking the change of Gaussian curvature value of sampling points as the basis of region division, an improved denoising algorithm based on the combination of median denoising algorithm and bilateral denoising algorithm is proposed The algorithm is implemented and simulated by pseudo code. The simulation results show that the 3D point cloud data denoising algorithm based on curvature change not only has a higher ability in denoising effect and feature retention effect, but also has a greater advantage in the execution time of the denoising algorithm.",

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AU - Wang, Shigang

AU - He, Jiawen

AU - Peng, Shuai

AU - Gao, Xueshan

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/3/30

Y1 - 2020/3/30

N2 - This paper focuses on the algorithm of denoising for 3D point cloud data in 3D modelling technology. Through the problem that it is difficult to retain the feature points of traditional 3D point cloud data denoising and the denoising amplitude is too large, taking the change of Gaussian curvature value of sampling points as the basis of region division, an improved denoising algorithm based on the combination of median denoising algorithm and bilateral denoising algorithm is proposed The algorithm is implemented and simulated by pseudo code. The simulation results show that the 3D point cloud data denoising algorithm based on curvature change not only has a higher ability in denoising effect and feature retention effect, but also has a greater advantage in the execution time of the denoising algorithm.

AB - This paper focuses on the algorithm of denoising for 3D point cloud data in 3D modelling technology. Through the problem that it is difficult to retain the feature points of traditional 3D point cloud data denoising and the denoising amplitude is too large, taking the change of Gaussian curvature value of sampling points as the basis of region division, an improved denoising algorithm based on the combination of median denoising algorithm and bilateral denoising algorithm is proposed The algorithm is implemented and simulated by pseudo code. The simulation results show that the 3D point cloud data denoising algorithm based on curvature change not only has a higher ability in denoising effect and feature retention effect, but also has a greater advantage in the execution time of the denoising algorithm.

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Research on denoising algorithm of 3D point cloud data based on curvature change

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