Class 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
    • Constructor Detail

      • VariationalRefinement

        protected VariationalRefinement​(long addr)
    • Method Detail

      • 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
      • create

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