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 |
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 |
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37.06_14.pdf | 1.73 MB | Adobe PDF | View/Open |
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