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PANORAMIC RENDERING-BASED POLYGON EXTRACTION FROM INDOOR MOBILE LIDAR DATA

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Abstract

In this paper, we propose a method for panoramic point-cloud rendering-based polygon extraction from indoor mobile LiDAR data. Our aim was to improve region-based point-cloud clustering in modeling after point-cloud registration. First, we propose a point-cloud clustering methodology for polygon extraction on a panoramic range image generated with point-based rendering from a massive point cloud. Next, we describe an experiment that was conducted to verify our methodology with an indoor mobile mapping system in an indoor environment. This experiment was wall-surface extraction using a rendered point-cloud from 64 viewpoints over a wide indoor area. Finally, we confirmed that our proposed methodology could achieve polygon extraction through point-cloud clustering from a complex indoor environment. 1

Topics: KEY WORDS, Indoor mobile mapping, Point-cloud, Point-based rendering, Point cloud clustering, 3D polygon extraction
Year: 2016
OAI identifier: oai:CiteSeerX.psu:10.1.1.949.6924
Provided by: CiteSeerX
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