• DocumentCode
    2141235
  • Title

    Object set matching with an evolutionary algorithm

  • Author

    Buck, Andrew R. ; Keller, James M. ; Skubic, Marjorie ; Detyniecki, Marcin ; Baerecke, Thomas

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    43
  • Lastpage
    50
  • Abstract
    In this paper, we present an improved evolutionary method for the task of locating a group of buildings based solely on their relative spatial relationships. This problem arises in the general text-to-sketch problem of conflating a hand or machine drafted sketch of building locations to a satellite image. We use the histograms of forces to capture the relative position information between buildings and develop a method to compare building sets. This represents an extension to our previous work, allowing for larger placement perturbations and changes in orientation.
  • Keywords
    evolutionary computation; image matching; terrain mapping; building locations; evolutionary algorithm; general text-to-sketch problem; hand-drafted sketch; machine-drafted sketch; object set matching; placement perturbations; satellite image; Biological cells; Buildings; Evolutionary computation; Gravity; Histograms; Search problems; evolutionary algorithm; histograms of forces; object set matching; text-to-sketch;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Security and Defense Applications (CISDA), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-9939-7
  • Type

    conf

  • DOI
    10.1109/CISDA.2011.5945949
  • Filename
    5945949