Study on denoising and smoothing method of 3D-scaning point cloud data tothe large complex malleable cast parts
ZHENG Peng
HUO Hong-xu
JIANG Xing-yu
Abstract：Reverse engineering is the key part to obtain dimensions of complex parts for the processing of three-dimensional point cloud data of malleable cast parts.The key point is how to get the noiseless and smooth 3D point cloud from the scattered and multi-noise point cloud data.According to characteristics of noise points in the scattered cloud, this paper presents two methods: step-by-step denoising and smoothing method.First, the first kind of noise is removed by using grid threshold method.Second, the second kind of noise is removed by using virtual grid method.Finally, the above data is smoothed by using bilateral filtering method.The results show that the method not only removes the noisy points of 3D point cloud data, but also obtains a smooth measurement of surface and retains the characteristics of sharp features.
Keywords：3D laser scanningdata processingdata filteringdenoisingsmoothingmalleable cast parts
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 23-28 )