• DocumentCode
    3268704
  • Title

    Tangent flow estimation based on 3-D gradient constraint

  • Author

    Tang, Tianyu ; Ma, Kai-Kuang

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2009
  • fDate
    8-10 Dec. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to the limitation of the gradient constraint, only the normal flow, which is one of the optical flow components that is in the direction of the image gradient, can be computed directly. Consequently, an additional smoothness assumption has to be imposed in order to compute the optical flow. However, such assumption could yield a mismatch, especially on the boundaries of moving objects, besides the computational complexity issue. To address these concerns, in this paper, a three-dimensional (3-D) gradient constraint is developed and imposed for computing the optical flow without exploiting any smoothness assumption on the motion field. Based on this 3-D gradient constraint, the tangent flow, which is another optical flow component that is perpendicular to the normal flow, could be obtained through our derived closed-form solution at each pixel position. This also means that the standard aperture problem could be efficiently solved. The experimental results show that the proposed approach yields a fairly precise optical flow field with a very low computational load.
  • Keywords
    computational complexity; image sequences; motion estimation; 3D gradient constraint; computational complexity; image gradient; optical flow components; tangent flow estimation; three-dimensional gradient constraint; Apertures; Closed-form solution; Computational complexity; Computer vision; Image motion analysis; Motion estimation; Nonlinear optics; Optical computing; Optical devices; Optical noise; 3-D gradient constraint; Optical flow; standard aperture problem; tangent flow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications and Signal Processing, 2009. ICICS 2009. 7th International Conference on
  • Conference_Location
    Macau
  • Print_ISBN
    978-1-4244-4656-8
  • Electronic_ISBN
    978-1-4244-4657-5
  • Type

    conf

  • DOI
    10.1109/ICICS.2009.5397511
  • Filename
    5397511