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Knowledge Based Single Building Extraction and Recognition
Högskolan i Gävle.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Visual Information and Interaction. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
2014 (English)In: Proceedings WSEAS International Conference on Computer Engineering and Applications, 2014, 2014, 29-35 p.Conference paper, Published paper (Refereed)
Abstract [en]

Building facade extraction is the primary step in the recognition process in outdoor scenes. It is also achallenging task since each building can be viewed from different angles or under different lighting conditions. Inoutdoor imagery, regions, such as sky, trees, pavement cause interference for a successful building facade recognition.In this paper we propose a knowledge based approach to automatically segment out the whole facade or majorparts of the facade from outdoor scene. The found building regions are then subjected to recognition process. Thesystem is composed of two modules: segmentation of building facades region module and facade recognition module.In the facade segmentation module, color processing and objects position coordinates are used. In the facaderecognition module, Chamfer metrics are applied. In real time recognition scenario, the image with a building isfirst analyzed in order to extract the facade region, which is then compared to a database with feature descriptors inorder to find a match. The results show that the recognition rate is dependent on a precision of building extractionpart, which in turn, depends on a homogeneity of colors of facades.

Place, publisher, year, edition, pages
2014. 29-35 p.
Keyword [en]
Building, extraction, recognition, Chamfer metrics
National Category
Computer Vision and Robotics (Autonomous Systems) Computer Science
Research subject
Computerized Image Processing; Human-Computer Interaction
Identifiers
URN: urn:nbn:se:uu:diva-238628OAI: oai:DiVA.org:uu-238628DiVA: diva2:771610
Conference
WSEAS International Conference on Computer Engineering and Applications
Available from: 2014-12-15 Created: 2014-12-15 Last updated: 2014-12-18

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No full text

Other links

http://www.wseas.us/e-library/conferences/2014/Tenerife/INFORM/INFORM-03.pdf

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Seipel, Stefan

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf