License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.GISCIENCE.2018.33
URN: urn:nbn:de:0030-drops-93616
URL: https://drops.dagstuhl.de/opus/volltexte/2018/9361/
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Jang, Hanme ; Yang, Jong Hyeon ; Kiyun, Yu

Automatic Wall Detection and Building Topology and Property of 2D Floor Plan (Short Paper)

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Abstract

Recently, indoor space construction information has been actively carried out primarily in large buildings and in underground facilities. However, the building of this data was done by only a handful of people, and it was a time- and money-intensive task. Therefore, the technology of automatically extracting a wall and constructing a 3D model from architectural floor plans was developed. Complete automation is still limited by accuracy issues, and only a few sets of floor plan data to which the technology can be applied exist. In addition, it is difficult to extract complicated walls and their thickness to build the wall-junction structure of indoor spatial information, which requires significant topological information in the automation process. In this paper, we propose an automatic method of extracting the wall from an architectural floor plan suitable for the restoration of the indoor spatial information according to the indoor spatial information standard.

BibTeX - Entry

@InProceedings{jang_et_al:LIPIcs:2018:9361,
  author =	{Hanme Jang and Jong Hyeon Yang and Yu Kiyun},
  title =	{{Automatic Wall Detection and Building Topology and Property of 2D Floor Plan (Short Paper)}},
  booktitle =	{10th International Conference on Geographic Information  Science (GIScience 2018)},
  pages =	{33:1--33:5},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Stephan Winter and Amy Griffin and Monika Sester},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2018/9361},
  URN =		{urn:nbn:de:0030-drops-93616},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.33},
  annote =	{Keywords: Image Segmentation, Indoor space, Adjacency matrix, Wall thickness}
}

Keywords: Image Segmentation, Indoor space, Adjacency matrix, Wall thickness
Collection: 10th International Conference on Geographic Information Science (GIScience 2018)
Issue Date: 2018
Date of publication: 02.08.2018


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