• DocumentCode
    3058537
  • Title

    Automatic Aerial Image RegistrationWithout Correspondence

  • Author

    Xiong, Yingen ; Quek, Francis

  • Author_Institution
    Virginia Polytechnic Institute and State University, Blacksburg, VA
  • fYear
    2006
  • fDate
    04-07 Jan. 2006
  • Firstpage
    25
  • Lastpage
    25
  • Abstract
    This paper presents an approach for registering aerial images taken at different time, viewpoints, or heights. Different from conventional image registration algorithms, our approach does not need image matching or correspondence. In this approach, we extract a number of corner features as the basis for registration and create a number of image patches with the corner points as centers on both reference and observed images. In order to let the corresponding patches cover same scene, we use a circle which the radius can be changed as the shape of the image patches. In this way, the image patches can handle the case in which there are rotation and scaling at the same time between reference and observed images. With the orientation differences of patches between these two images, we create an angle histogram with a voting procedure. The rotation angle between the two images can be determined by seeking the orientation difference that corresponds to the maximum peak in the histogram. Once we get the rotation angle, we seek back for the two corresponding patches which the value of orientation difference is the same as the rotation angle. The ratio of radii of these two patches is the value of the scaling. The proposed approach can handle the situation of large rotation and scaling between reference and observed images. It is applied to real aerial images and the results are very satisfying.
  • Keywords
    Computer vision; Histograms; Human computer interaction; Image edge detection; Image matching; Image registration; Image sensors; Layout; Shape; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision Systems, 2006 ICVS '06. IEEE International Conference on
  • Print_ISBN
    0-7695-2506-7
  • Type

    conf

  • DOI
    10.1109/ICVS.2006.15
  • Filename
    1578713