• DocumentCode
    2706494
  • Title

    Phase-based image motion estimation and registration

  • Author

    Hemmendorff, Magnus ; Andersson, M.T. ; Knutsson, Hans

  • Author_Institution
    Dept. of Electr. Eng., Linkoping Univ., Sweden
  • Volume
    6
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    3345
  • Abstract
    Conventional gradient methods (optical flow), for motion estimation assume intensity conservation between frames. This assumption is often violated in real applications. The remedy is a novel method that computes constraints on the local motion. These constraint are given on the same form as in conventional methods. Thus, it can directly substitute the gradient method in most applications. Experiments indicate a superior accuracy, even on synthetic images where the intensity conservation assumption is valid. The conventional gradient methods seem obsolete
  • Keywords
    filtering theory; gradient methods; image registration; image sequences; motion estimation; accuracy; confidence measure; experiments; gradient methods; intensity conservation; local motion constraints; optical flow; phase-based image motion estimation; phase-based image registration; quadrature filter method; synthetic images; Band pass filters; Gradient methods; Image motion analysis; Interference constraints; Motion estimation; Nonlinear optics; Optical filters; Signal analysis; Spatiotemporal phenomena; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.757558
  • Filename
    757558