• DocumentCode
    3734209
  • Title

    Comparative study of visual feature extraction methods for building retrieval on urban databases

  • Author

    E. Spyrou;A. Kesidis;P. Kolliopoulos;T. Tsenoglou;E. Bratsolis;S. Gyftakis;E. Charou;N. Vassilas

  • Author_Institution
    Institute of Informatics & Telecommunications, NCSR Demokritos, Agia Paraskevi, Greece
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In a great variety of applications, such as real-time robot localization and visual navigation, architectural design, 3D city reconstruction, building recognition in urban environments is required. In this work a comparative study of visual feature extraction methods for building retrieval on urban databases is performed. To this end, a database of 183 building facades taken at two different regions near the center of Athens was created. Five feature extraction methods are used in order to capture visual properties. Features between images are then matched using RANSAC algorithm and a visual transformation is calculated. Comparative retrieval results are provided and discussed.
  • Keywords
    "Feature extraction","Buildings","Visualization","Robustness","Databases","Lighting","Algorithm design and analysis"
  • Publisher
    ieee
  • Conference_Titel
    Information, Intelligence, Systems and Applications (IISA), 2015 6th International Conference on
  • Type

    conf

  • DOI
    10.1109/IISA.2015.7388022
  • Filename
    7388022
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3734209