Panoramic rendering-based polygon extraction from indoor mobile LiDAR data
- 1Dept. of Civil Engineering, Shibaura Institute of Technology, Tokyo, Japan
- 2Nikon Trimble Co., Ltd., Tokyo, Japan
Keywords: Indoor mobile mapping, Point-cloud, Point-based rendering, Point cloud clustering, 3D polygon extraction
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.