• DocumentCode
    2241159
  • Title

    Extracting affine deformations from image patches. I. Finding scale and rotation

  • Author

    Manmatha, R. ; Oliensis, John

  • Author_Institution
    Dept. of Comput Sci. Massachusetts Univ., Amherst, MA, USA
  • fYear
    1993
  • fDate
    15-17 Jun 1993
  • Firstpage
    754
  • Lastpage
    755
  • Abstract
    Image deformations due to relative motion between an observer and an object may be used to infer 3-D structure. Up to the first order, these deformations can be written in terms of an affine transform. A novel approach is adopted to measuring affine transforms which correctly handles the problem of corresponding deformed patches. The patches are filtered using Gaussians and derivatives of Gaussians and the filters deformed according to the affine transform. The problem of finding the affine transform is therefore reduced to that of finding the appropriate deformed filter to use. In the special case where the affine transform can be written as a scale change and an in-plane rotation, the Gaussian and first derivative equations are solved for the scale. The robustness of the method is demonstrated experimentally
  • Keywords
    filtering theory; image sequences; image texture; 3-D structure; Gaussians; affine deformations; deformed filter; deformed patches; image deformation; image patches; observer; relative motion; robustness; rotation; scale; Cameras; Computer science; Equations; Filters; Gaussian processes; Navigation; Robot kinematics; Robot vision systems; Robustness; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
  • Conference_Location
    New York, NY
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-3880-X
  • Type

    conf

  • DOI
    10.1109/CVPR.1993.341158
  • Filename
    341158