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arXiv · 2108.06306

3D point cloud segmentation using GIS

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.

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Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot. 2021-08-13. 3D point cloud segmentation using GIS. https://arxiv.org/abs/2108.06306

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