TY - JOUR
T1 - Research on denoising algorithm of 3D point cloud data based on curvature change
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.
UR - http://www.scopus.com/inward/record.url?scp=85083017390&partnerID=8YFLogxK
U2 - 10.1088/1757-899X/768/7/072041
DO - 10.1088/1757-899X/768/7/072041
M3 - Conference article
AN - SCOPUS:85083017390
SN - 1757-8981
VL - 768
JO - IOP Conference Series: Materials Science and Engineering
JF - IOP Conference Series: Materials Science and Engineering
IS - 7
M1 - 072041
T2 - 3rd International Symposium on Application of Materials Science and Energy Materials, SAMSE 2019
Y2 - 30 December 2019 through 31 December 2019
ER -