• DocumentCode
    2582235
  • Title

    Decomposition theory and transformations of visual directions

  • Author

    Bergholm, Fredrik

  • Author_Institution
    R. Inst. of Technol., NADA, Stockholm, Sweden
  • fYear
    1990
  • fDate
    4-7 Dec 1990
  • Firstpage
    85
  • Lastpage
    90
  • Abstract
    The author shows that there are two basic ways to eliminate rotation; either you eliminate actual (effective) rotation R˜ or abstract rotation R. The transformation of visual directions P is decomposed into pure deformation (pure strain) and abstract rotation. Methods can be grouped as to whether they eliminate actual or abstract rotation. An interesting elimination of R can be done for equatorial motion fields on the image hemisphere, using equator-normal flow, having a moving sensor in a fixed environment. Then rotation can be eliminated by detecting the phase and amplitude of a sine wave hidden in a 1-D signal (the signal is a function of longitudes). Both sparse velocities and normal flow for nearly equator-parallel image contours can be used (directly) as input data. This approach seems robust and can be used in conjunction with the algorithm by R.C. Nelson and J. Aloimonos (1988)
  • Keywords
    computer vision; computerised picture processing; 1-D signal; decomposition theory; effective rotation; equator-normal flow; equatorial motion fields; image hemisphere; moving sensor; nearly equator-parallel image contours; transformations; visual directions; Angular velocity; Capacitive sensors; Computer vision; Image sensors; Motion analysis; Phase detection; Reflection; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1990. Proceedings, Third International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-8186-2057-9
  • Type

    conf

  • DOI
    10.1109/ICCV.1990.139500
  • Filename
    139500