Panoramic rendering-based polygon extraction from indoor mobile LiDAR data

Masafumi Nakagawa, K. Kataoka, T. Yamamoto, M. Shiozaki, T. Ohhashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
PublisherInternational Society for Photogrammetry and Remote Sensing
Pages181-186
Number of pages6
Volume40
Edition4
DOIs
Publication statusPublished - 2014
EventISPRS Technical Commission IV Symposium 2014 - Suzhou, China
Duration: 2014 May 142014 May 16

Other

OtherISPRS Technical Commission IV Symposium 2014
CountryChina
CitySuzhou
Period14/5/1414/5/16

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Keywords

  • 3D polygon extraction
  • Indoor mobile mapping
  • Point cloud clustering
  • Point-based rendering
  • Point-cloud

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development

Cite this

Nakagawa, M., Kataoka, K., Yamamoto, T., Shiozaki, M., & Ohhashi, T. (2014). Panoramic rendering-based polygon extraction from indoor mobile LiDAR data. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (4 ed., Vol. 40, pp. 181-186). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XL-4-181-2014