• DocumentCode
    178737
  • Title

    Generalized Optical Flow Model for Scattering Media

  • Author

    Drews, Paul ; Nascimento, Erickson R. ; Xavier, Arthur ; Campos, Mario

  • Author_Institution
    C3 - Centro de Cienc. Computacionais, Univ. Fed. do Rio Grande (FURG), Rio Grande, Brazil
  • fYear
    2014
  • fDate
    24-28 Aug. 2014
  • Firstpage
    3999
  • Lastpage
    4004
  • Abstract
    This paper proposes a novel methodology to estimate the optical flow in scattering media, which consists on new formulation based on the classical Horn-Schunk approach and the optical image formation model. Our formulation is able to deal with the hard problem of tracking points in a medium where there is absorption and scattering effects. This approach generalizes assumptions of the Horn-Schunk model in order to tackle both non-scattering and scattering media. Our approach uses the Dark Channel Prior to estimate the scene transmission, which attains a significant improvement in the optical flow estimation in scattering media. We show that our approach outperformed state-of-the-art models and we provide a detailed analysis of our technique that shows its applicability to image sequences acquired both in simulated and real scenes.
  • Keywords
    image sequences; Dark Channel Prior; Horn-Schunk model; generalized optical flow model; image sequences; nonscattering media; optical flow estimation; optical image formation model; scattering media; scene transmission estimation; Adaptive optics; Estimation; Integrated optics; Media; Optical imaging; Optical scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2014 22nd International Conference on
  • Conference_Location
    Stockholm
  • ISSN
    1051-4651
  • Type

    conf

  • DOI
    10.1109/ICPR.2014.685
  • Filename
    6977398