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A multiple representation data structure of 3D building textures
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Geoinformatics. (Geoinformatica)
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment, Geodesy and Geoinformatics. (Geoinformatics)
2011 (English)Conference paper, Published paper (Other academic)
Abstract [en]

Texture is an important element for visualization of 3D city models and often takes a big proportion of the total data volume. In order to simplify 3D city model textures for dynamic visualization in different scales, a multiple representation data structure, TextureTree is proposed to store building textures in different LoDs. First, the texture image is iteratively segmented by horizontal or vertical dividing zone (edge or background from edge detection) until each sections are basically in the same color. Then textures in all sections are represented by their main color and the TextureTree is created based on the color difference between the adjacent sections. With the TextureTree, the simplified texture in different LoDs can be dynamically generated. The experiment results show that the data volume of building textures can be reduced by TextureTree while the required visual similarity is preserved.

Place, publisher, year, edition, pages
2011. 5981035- p.
Keyword [en]
3D city models, multiple representation, texture
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-88012DOI: 10.1109/GeoInformatics.2011.5981035Scopus ID: 2-s2.0-80052386623ISBN: 978-161284848-8 (print)OAI: oai:DiVA.org:kth-88012DiVA: diva2:502056
Conference
2011 19th International Conference on Geoinformatics, Geoinformatics 2011; Shanghai; China; 24-26 June 2011
Note

QC 20140917

Available from: 2012-02-14 Created: 2012-02-14 Last updated: 2014-09-17Bibliographically approved

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CiteExportLink to record
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Citation style
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  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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