Over-Parameterized Variational Optical Flow

  title={Over-Parameterized Variational Optical Flow},
  author={Tal Nir and Alfred M. Bruckstein and Ron Kimmel},
  journal={International Journal of Computer Vision},
A novel optical flow estimation process based on a spatio-temporal model with varying coefficients multiplying a set of basis functions at each pixel is introduced. Previous optical flow estimation methodologies did not use such an over parameterized representation of the flow field as the problem is ill-posed even without introducing any additional parameters: Neighborhood based methods of the Lucas–Kanade type determine the flow at each pixel by constraining the flow to be described by a few… CONTINUE READING
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A general framework and new alignment criterion for dense optical flow

  • R. B. Ari, N. Sochen
  • Proc. IEEE Conference on Computer Vision and…
  • 2006
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