Panoramic rendering-based polygon extraction from indoor mobile LiDAR data
説明
<jats:p>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 pointcloud 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. </jats:p>
収録刊行物
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- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 181-186, 2014-04-23
Copernicus GmbH
