• DocumentCode
    2463112
  • Title

    Visual echo analysis

  • Author

    Bandari, Esfandiar ; Little, James J.

  • Author_Institution
    Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada
  • fYear
    1993
  • fDate
    11-14 May 1993
  • Firstpage
    220
  • Lastpage
    225
  • Abstract
    The term visual echoes is introduced as a common framework for the analysis of multi-frame optical flow, binocular and trinocular stereo, stationary texture and boundary symmetries. The authors examined cepstral filtering, a powerful nonlinear adaptive technique for the retrieval of echoes, as a common methodology to address these visual routines. They consider the application of cepstral analysis to computational vision, review improvements to traditional methods, and provide a comparison with other routines presently used. A general multievidential correlation approach is introduced which lends itself to several computational techniques. CepsCorr, it is called, is a simple general technique that can accept different matching routines as its measurement kernel. The evidence provided by each iteration of cepsCorr can then be combined to provide a more accurate estimate of motion or binocular disparity
  • Keywords
    cepstral analysis; computer vision; image sequences; motion estimation; CepsCorr; binocular disparity; binocular stereo; boundary symmetries; cepstral filtering; computational vision; measurement kernel; motion estimation; multi-frame optical flow; multievidential correlation approach; nonlinear adaptive technique; stationary texture; trinocular stereo; visual echo analysis; visual routines; Cepstral analysis; Cepstrum; Computer science; Computer vision; Filtering; Intelligent robots; Kernel; Layout; Motion analysis; Sea measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, 1993. Proceedings., Fourth International Conference on
  • Conference_Location
    Berlin
  • Print_ISBN
    0-8186-3870-2
  • Type

    conf

  • DOI
    10.1109/ICCV.1993.378216
  • Filename
    378216