• DocumentCode
    2071000
  • Title

    Using 3D Spline Differentiation to Compute Quantitative Optical Flow

  • Author

    Barron, John Leonard ; Daniel, Marc ; Mari, Jean-Luc

  • Author_Institution
    University of Western Ontario, Canada
  • fYear
    2006
  • fDate
    07-09 June 2006
  • Firstpage
    11
  • Lastpage
    11
  • Abstract
    We show that differentiation via fitting B-splines to the spatio-temporal intensity data comprising an image sequence provides at least the same and usually better 2D Lucas and Kanade optical flow than that computed via Simoncelli’s balanced/matched filters.
  • Keywords
    2D Optical Flow; B-Splines; Differentiation; Filters; Quantitative Error Analysis; Data flow computing; Equations; Image motion analysis; Image sequences; Matched filters; Optical computing; Optical devices; Optical filters; Spline; Surface fitting; 2D Optical Flow; B-Splines; Differentiation; Filters; Quantitative Error Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision, 2006. The 3rd Canadian Conference on
  • Print_ISBN
    0-7695-2542-3
  • Type

    conf

  • DOI
    10.1109/CRV.2006.84
  • Filename
    1640366
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2071000