Door recognition in cluttered building interiors using imagery and lidar data
Building indoors reconstruction is an active research topic due to the importance of the wide range of applications to which they can be subjected, from architecture and furniture design, to movies and video games editing, or even crime scene investigation. Among the constructive elements defining...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2014-06-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/203/2014/isprsarchives-XL-5-203-2014.pdf |
| _version_ | 1818519926117236736 |
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| author | L. Díaz-Vilariño J. Martínez-Sánchez S. Lagüela J. Armesto K. Khoshelham |
| author_facet | L. Díaz-Vilariño J. Martínez-Sánchez S. Lagüela J. Armesto K. Khoshelham |
| author_sort | L. Díaz-Vilariño |
| collection | DOAJ |
| description | Building indoors reconstruction is an active research topic due to the importance of the wide range of applications to which they can
be subjected, from architecture and furniture design, to movies and video games editing, or even crime scene investigation. Among
the constructive elements defining the inside of a building, doors are important entities in applications like routing and navigation,
and their automated recognition is advantageous e.g. in case of large multi-storey buildings with many office rooms. The inherent
complexity of the automation of the recognition process is increased by the presence of clutter and occlusions, difficult to avoid in
indoor scenes. In this work, we present a pipeline of techniques used for the reconstruction and interpretation of building interiors
using information acquired in the form of point clouds and images. The methodology goes in depth with door detection and labelling
as either <i>opened, closed or furniture (false positive)</i> |
| first_indexed | 2024-12-11T01:30:34Z |
| format | Article |
| id | doaj.art-1f13f7fb395a4d9da4c67a9b40e396e4 |
| institution | Directory Open Access Journal |
| issn | 1682-1750 2194-9034 |
| language | English |
| last_indexed | 2024-12-11T01:30:34Z |
| publishDate | 2014-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj.art-1f13f7fb395a4d9da4c67a9b40e396e42022-12-22T01:25:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342014-06-01XL-520320910.5194/isprsarchives-XL-5-203-2014Door recognition in cluttered building interiors using imagery and lidar dataL. Díaz-Vilariño0J. Martínez-Sánchez1S. Lagüela2J. Armesto3K. Khoshelham4Applied Geotechnologies Research Group, University of Vigo, ETSE Minas, 36310 Vigo, SpainApplied Geotechnologies Research Group, University of Vigo, ETSE Minas, 36310 Vigo, SpainApplied Geotechnologies Research Group, University of Vigo, ETSE Minas, 36310 Vigo, SpainApplied Geotechnologies Research Group, University of Vigo, ETSE Minas, 36310 Vigo, SpainFaculty of Geo-Information Science and Earth Observation, University of Twente, P.O. Box 217, Enschede 7514 AE, the NetherlandsBuilding indoors reconstruction is an active research topic due to the importance of the wide range of applications to which they can be subjected, from architecture and furniture design, to movies and video games editing, or even crime scene investigation. Among the constructive elements defining the inside of a building, doors are important entities in applications like routing and navigation, and their automated recognition is advantageous e.g. in case of large multi-storey buildings with many office rooms. The inherent complexity of the automation of the recognition process is increased by the presence of clutter and occlusions, difficult to avoid in indoor scenes. In this work, we present a pipeline of techniques used for the reconstruction and interpretation of building interiors using information acquired in the form of point clouds and images. The methodology goes in depth with door detection and labelling as either <i>opened, closed or furniture (false positive)</i>https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/203/2014/isprsarchives-XL-5-203-2014.pdf |
| spellingShingle | L. Díaz-Vilariño J. Martínez-Sánchez S. Lagüela J. Armesto K. Khoshelham Door recognition in cluttered building interiors using imagery and lidar data The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | Door recognition in cluttered building interiors using imagery and lidar data |
| title_full | Door recognition in cluttered building interiors using imagery and lidar data |
| title_fullStr | Door recognition in cluttered building interiors using imagery and lidar data |
| title_full_unstemmed | Door recognition in cluttered building interiors using imagery and lidar data |
| title_short | Door recognition in cluttered building interiors using imagery and lidar data |
| title_sort | door recognition in cluttered building interiors using imagery and lidar data |
| url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-5/203/2014/isprsarchives-XL-5-203-2014.pdf |
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