Variational optical flow refinement

This class implements variational refinement of the input flow field, i.e. it uses input flow to initialize the minimization of the following functional:

E(U) = integral_{Omega}(delta * Psi(E_I) + gamma * Psi(E_G) + alpha * Psi(E_S))

where E_I, E_G, E_S are color constancy, gradient constancy and smoothness terms respectively. Psi(s^2) = sqrt(s^2 + epsilon^2) is a robust penalizer to limit the influence of outliers. A complete formulation and a description of the minimization procedure can be found in [Brox2004].

References

[Brox2004]:

Thomas Brox, Andres Bruhn, Nils Papenberg, and Joachim Weickert. "High accuracy optical flow estimation based on a theory for warping". In Computer Vision-ECCV 2004, pages 25-36. Springer, 2004.