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Computer Science > Computer Vision and Pattern Recognition

arXiv:2108.06306 (cs)
[Submitted on 13 Aug 2021]

Title:3D point cloud segmentation using GIS

Authors:Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot
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Abstract:In this paper we propose an approach to perform semantic segmentation of 3D point cloud data by importing the geographic information from a 2D GIS layer (OpenStreetMap). The proposed automatic procedure identifies meaningful units such as buildings and adjusts their locations to achieve best fit between the GIS polygonal perimeters and the point cloud. Our processing pipeline is presented and illustrated by segmenting point cloud data of Trinity College Dublin (Ireland) campus constructed from optical imagery collected by a drone.
Comments: 8 pages
Subjects: Computer Vision and Pattern Recognition (cs.CV)
Cite as: arXiv:2108.06306 [cs.CV]
  (or arXiv:2108.06306v1 [cs.CV] for this version)
  https://doi.org/10.48550/arXiv.2108.06306
Journal reference: IMVIP 2018

Submission history

From: Chao Liu [view email]
[v1] Fri, 13 Aug 2021 16:26:51 UTC (1,501 KB)
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