The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-4
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 181–186, 2014
https://doi.org/10.5194/isprsarchives-XL-4-181-2014
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 181–186, 2014
https://doi.org/10.5194/isprsarchives-XL-4-181-2014

  23 Apr 2014

23 Apr 2014

Panoramic rendering-based polygon extraction from indoor mobile LiDAR data

M. Nakagawa1, K. Kataoka1, T. Yamamoto1, M. Shiozaki2, and T. Ohhashi2 M. Nakagawa et al.
  • 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.