Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1212
Title: Clustering-Based Plane Refitting of Non-planar Patches for Voxel-Based 3D Point Cloud Segmentation Using K-Means Clustering
Authors: Sağlam, Ali
Makineci, Hasan Bilgehan
Baykan, Ömer Kaan
Baykan, Nurdan Akhan
Keywords: plane fitting
plane refitting
point cloud segmentation
plane clustering
k-means clustering
standard deviation thresholding
EXTRACTION
Issue Date: 2020
Publisher: INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC
Abstract: Point cloud processing is a struggled field because the points in the clouds are three-dimensional and irregular distributed signals. For this reason, the points in the point clouds are mostly sampled into regularly distributed voxels in the literature. Voxelization as a pretreatment significantly accelerates the process of segmenting surfaces. The geometric cues such as plane directions (normals) in the voxels are mostly used to segment the local surfaces. However, the sampling process may include a non-planar point group (patch), which is mostly on the edges and corners, in a voxel. These voxels can cause misleading the segmentation process. In this paper, we separate the non-planar patches into planar sub-patches using k-means clustering. The largest one among the planar sub-patches replaces the normal and barycenter properties of the voxel with those of itself. We have tested this process in a successful point cloud segmentation method and measure the effects of the proposed method on two point cloud segmentation datasets (Mosque and Train Station). The method increases the accuracy success of the Mosque dataset from 83.84% to 87.86% and that of the Train Station dataset from 85.36% to 87.07%.
URI: https://doi.org/10.18280/ts.370614
https://hdl.handle.net/20.500.13091/1212
ISSN: 0765-0019
1958-5608
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

Files in This Item:
File SizeFormat 
37.06_14.pdf1.73 MBAdobe PDFView/Open
Show full item record

CORE Recommender

SCOPUSTM   
Citations

6
checked on Feb 4, 2023

WEB OF SCIENCETM
Citations

5
checked on Jan 30, 2023

Page view(s)

172
checked on Jan 30, 2023

Download(s)

84
checked on Jan 30, 2023

Google ScholarTM

Check

Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.