• DocumentCode
    1978118
  • Title

    Scene matching by spatial relationships

  • Author

    Sjahputera, Ozy ; Keller, James M. ; Matsakis, Pascal

  • Author_Institution
    Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., USA
  • fYear
    2003
  • fDate
    24-26 July 2003
  • Firstpage
    149
  • Lastpage
    154
  • Abstract
    Scene matching is the process of recognizing two images as different views of the same scene captured using different sensor poses, and/or different types of sensors. In this work, each image contains the same objects and sensor pose parameters are not known. The spatial relationships among objects in the image, calculated using the histogram of forces (F-histogram) method, are used as matching elements. The degree of matching between two matching elements is calculated by comparing their F-histogram representations. Various geometric transformations are applied to the F-histograms during the comparison process to maximize the histogram similarity measure and to estimate the sensor pose parameters. The histogram similarity measure and the estimated sensor pose parameters are used as features in finding the best histogram correspondence map that matches the two images.
  • Keywords
    image matching; image sensors; parameter estimation; F-histograms; force histogram; geometric transformations; image matching; image recognition; matching elements; scene matching; sensor pose parameter estimation; spatial relationships; Geometry; Histograms; Image recognition; Image sensors; Layout; Morphology; Parameter estimation; Polynomials; Quantization; Sensor phenomena and characterization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
  • Print_ISBN
    0-7803-7918-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2003.1226772
  • Filename
    1226772