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- Title
TOPOLOGICAL 3D MODELING USING INDOOR MOBILE LIDAR DATA.
- Authors
Nakagawa, M.; Yamamoto, T.; Tanaka, S.; Shiozaki, M.; Ohhashi, T.
- Abstract
We focus on a region-based point clustering to extract a polygon from a massive point cloud. In the region-based clustering, RANSAC is a suitable approach for estimating surfaces. However, local workspace selection is required to improve a performance in a surface estimation from a massive point cloud. Moreover, the conventional RANSAC is hard to determine whether a point lies inside or outside a surface. In this paper, we propose a method for panoramic 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 some 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.
- Subjects
THREE-dimensional modeling; COMPUTER graphics research; LIDAR; LASER based sensors; RADAR -- Optical equipment
- Publication
International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences, 2015, Vol 40-4/W5, p13
- ISSN
1682-1750
- Publication type
Article
- DOI
10.5194/isprsarchives-XL-4-W5-13-2015