Package org.opencv.video

Class VariationalRefinement

java.lang.Object
org.opencv.core.Algorithm
org.opencv.video.DenseOpticalFlow
org.opencv.video.VariationalRefinement
public class VariationalRefinement extends DenseOpticalFlow
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: \(E(U) = \int_{\Omega} \delta \Psi(E_I) + \gamma \Psi(E_G) + \alpha \Psi(E_S) \), 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 CITE: Brox2004

  • Method Details

    • __fromPtr__

      public static VariationalRefinement __fromPtr__(long addr)

    • calcUV

      public void calcUV(Mat I0, Mat I1, Mat flow_u, Mat flow_v)
      REF: calc function overload to handle separate horizontal (u) and vertical (v) flow components (to avoid extra splits/merges)
      Parameters:
      I0 - automatically generated
      I1 - automatically generated
      flow_u - automatically generated
      flow_v - automatically generated

    • getFixedPointIterations

      public int getFixedPointIterations()
      Number of outer (fixed-point) iterations in the minimization procedure. SEE: setFixedPointIterations
      Returns:
      automatically generated

    • setFixedPointIterations

      public void setFixedPointIterations(int val)
      getFixedPointIterations SEE: getFixedPointIterations
      Parameters:
      val - automatically generated

    • getSorIterations

      public int getSorIterations()
      Number of inner successive over-relaxation (SOR) iterations in the minimization procedure to solve the respective linear system. SEE: setSorIterations
      Returns:
      automatically generated

    • setSorIterations

      public void setSorIterations(int val)
      getSorIterations SEE: getSorIterations
      Parameters:
      val - automatically generated

    • getOmega

      public float getOmega()
      Relaxation factor in SOR SEE: setOmega
      Returns:
      automatically generated

    • setOmega

      public void setOmega(float val)
      getOmega SEE: getOmega
      Parameters:
      val - automatically generated

    • getAlpha

      public float getAlpha()
      Weight of the smoothness term SEE: setAlpha
      Returns:
      automatically generated

    • setAlpha

      public void setAlpha(float val)
      getAlpha SEE: getAlpha
      Parameters:
      val - automatically generated

    • getDelta

      public float getDelta()
      Weight of the color constancy term SEE: setDelta
      Returns:
      automatically generated

    • setDelta

      public void setDelta(float val)
      getDelta SEE: getDelta
      Parameters:
      val - automatically generated

    • getGamma

      public float getGamma()
      Weight of the gradient constancy term SEE: setGamma
      Returns:
      automatically generated

    • setGamma

      public void setGamma(float val)
      getGamma SEE: getGamma
      Parameters:
      val - automatically generated

    • getEpsilon

      public float getEpsilon()
      Norm value shift for robust penalizer SEE: setEpsilon
      Returns:
      automatically generated

    • setEpsilon

      public void setEpsilon(float val)
      getEpsilon SEE: getEpsilon
      Parameters:
      val - automatically generated

    • create

      public static VariationalRefinement create()
      Creates an instance of VariationalRefinement
      Returns:
      automatically generated