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Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.33
Automatic Wall Detection and Building Topology and Property of 2D Floor Plan (Short Paper)

Authors: Hanme Jang, Jong Hyeon Yang, and Yu Kiyun

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

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.
Cite as

Hanme Jang, Jong Hyeon Yang, and Yu Kiyun. Automatic Wall Detection and Building Topology and Property of 2D Floor Plan (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 33:1-33:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{jang_et_al:LIPIcs.GISCIENCE.2018.33,
  author =	{Jang, Hanme and Yang, Jong Hyeon and Kiyun, Yu},
  title =	{{Automatic Wall Detection and Building Topology and Property of 2D Floor Plan}},
  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 =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.33},
  URN =		{urn:nbn:de:0030-drops-93616},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.33},
  annote =	{Keywords: Image Segmentation, Indoor space, Adjacency matrix, Wall thickness}
}
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