• DocumentCode
    3356249
  • Title

    Coarse-to-fine optical flow estimation with image structure tensor

  • Author

    Zhen Chen ; Congxuan Zhang ; Ming Li

  • Author_Institution
    Sch. of Meas. & Opt. Eng., Nanchang Hangkong Univ., Nanchang, China
  • Volume
    2
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    741
  • Lastpage
    746
  • Abstract
    This paper proposes a novel coarse-to-fine optical flow method based on the image local structure tensor. The data term of the optical flow model is projected by combining the proposed structure tensor constancy assumption and the grey value constancy assumption with the robust penalty function, and an isotropic nonlinear function is planned to smoothing term. With the coarse-to-fine multiscale warping strategy, a linear iteration scheme is established. Several experimental results of the Middlebury sequences show that the presented method is high accuracy and good robustness.
  • Keywords
    image sequences; iterative methods; tensors; coarse-to-fine multiscale warping strategy; grey value constancy assumption; image local structure tensor; isotropic nonlinear function; linear iteration scheme; middlebury sequences; novel coarse-to-fine optical flow method; robust penalty function; structure tensor constancy assumption; Computer vision; Image motion analysis; Nonlinear optics; Optical imaging; Optical sensors; Smoothing methods; Tensile stress; coarse-to-fine; isotropic smoothing; optical flow; structure tensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6745263
  • Filename
    6745263