Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1212
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sağlam, Ali | - |
dc.contributor.author | Makineci, Hasan Bilgehan | - |
dc.contributor.author | Baykan, Ömer Kaan | - |
dc.contributor.author | Baykan, Nurdan Akhan | - |
dc.date.accessioned | 2021-12-13T10:38:35Z | - |
dc.date.available | 2021-12-13T10:38:35Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 0765-0019 | - |
dc.identifier.issn | 1958-5608 | - |
dc.identifier.uri | https://doi.org/10.18280/ts.370614 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.13091/1212 | - |
dc.description.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%. | en_US |
dc.description.sponsorship | Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [119E012] | en_US |
dc.description.sponsorship | This work is supported by the Scientific and Technological Research Council of Turkey (TUBITAK) (Grant number: 119E012). This study was carried out in the scope of the Doctoral Thesis of Ali SAGLAM. | en_US |
dc.language.iso | en | en_US |
dc.publisher | INT INFORMATION & ENGINEERING TECHNOLOGY ASSOC | en_US |
dc.relation.ispartof | TRAITEMENT DU SIGNAL | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | plane fitting | en_US |
dc.subject | plane refitting | en_US |
dc.subject | point cloud segmentation | en_US |
dc.subject | plane clustering | en_US |
dc.subject | k-means clustering | en_US |
dc.subject | standard deviation thresholding | en_US |
dc.subject | EXTRACTION | en_US |
dc.title | Clustering-Based Plane Refitting of Non-planar Patches for Voxel-Based 3D Point Cloud Segmentation Using K-Means Clustering | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.18280/ts.370614 | - |
dc.identifier.scopus | 2-s2.0-85099785967 | en_US |
dc.department | Fakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Harita Mühendisliği Bölümü | en_US |
dc.authorid | Saglam, Ali/0000-0003-2980-9666 | - |
dc.authorwosid | Saglam, Ali/W-2795-2017 | - |
dc.identifier.volume | 37 | en_US |
dc.identifier.issue | 6 | en_US |
dc.identifier.startpage | 1019 | en_US |
dc.identifier.endpage | 1027 | en_US |
dc.identifier.wos | WOS:000605984500014 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.authorscopusid | 57190139343 | - |
dc.authorscopusid | 57191188477 | - |
dc.authorscopusid | 23090480800 | - |
dc.authorscopusid | 35091134000 | - |
dc.identifier.scopusquality | Q3 | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | open | - |
item.languageiso639-1 | en | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.openairetype | Article | - |
item.fulltext | With Fulltext | - |
crisitem.author.dept | 02.08. Department of Geomatic Engineering | - |
crisitem.author.dept | 02.03. Department of Computer Engineering | - |
crisitem.author.dept | 02.03. Department of Computer Engineering | - |
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 | Size | Format | |
---|---|---|---|
37.06_14.pdf | 1.73 MB | Adobe PDF | View/Open |
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