Class EdgeAwareInterpolator


public class EdgeAwareInterpolator extends SparseMatchInterpolator
Sparse match interpolation algorithm based on modified locally-weighted affine estimator from CITE: Revaud2015 and Fast Global Smoother as post-processing filter.
  • Constructor Details

    • EdgeAwareInterpolator

      protected EdgeAwareInterpolator(long addr)
  • Method Details

    • __fromPtr__

      public static EdgeAwareInterpolator __fromPtr__(long addr)
    • setCostMap

      public void setCostMap(Mat _costMap)
      Interface to provide a more elaborated cost map, i.e. edge map, for the edge-aware term. This implementation is based on a rather simple gradient-based edge map estimation. To used more complex edge map estimator (e.g. StructuredEdgeDetection that has been used in the original publication) that may lead to improved accuracies, the internal edge map estimation can be bypassed here.
      Parameters:
      _costMap - a type CV_32FC1 Mat is required. SEE: cv::ximgproc::createSuperpixelSLIC
    • setK

      public void setK(int _k)
      K is a number of nearest-neighbor matches considered, when fitting a locally affine model. Usually it should be around 128. However, lower values would make the interpolation noticeably faster.
      Parameters:
      _k - automatically generated
    • getK

      public int getK()
      SEE: setK
      Returns:
      automatically generated
    • setSigma

      public void setSigma(float _sigma)
      Sigma is a parameter defining how fast the weights decrease in the locally-weighted affine fitting. Higher values can help preserve fine details, lower values can help to get rid of noise in the output flow.
      Parameters:
      _sigma - automatically generated
    • getSigma

      public float getSigma()
      SEE: setSigma
      Returns:
      automatically generated
    • setLambda

      public void setLambda(float _lambda)
      Lambda is a parameter defining the weight of the edge-aware term in geodesic distance, should be in the range of 0 to 1000.
      Parameters:
      _lambda - automatically generated
    • getLambda

      public float getLambda()
      SEE: setLambda
      Returns:
      automatically generated
    • setUsePostProcessing

      public void setUsePostProcessing(boolean _use_post_proc)
      Sets whether the fastGlobalSmootherFilter() post-processing is employed. It is turned on by default.
      Parameters:
      _use_post_proc - automatically generated
    • getUsePostProcessing

      public boolean getUsePostProcessing()
      SEE: setUsePostProcessing
      Returns:
      automatically generated
    • setFGSLambda

      public void setFGSLambda(float _lambda)
      Sets the respective fastGlobalSmootherFilter() parameter.
      Parameters:
      _lambda - automatically generated
    • getFGSLambda

      public float getFGSLambda()
      SEE: setFGSLambda
      Returns:
      automatically generated
    • setFGSSigma

      public void setFGSSigma(float _sigma)
      SEE: setFGSLambda
      Parameters:
      _sigma - automatically generated
    • getFGSSigma

      public float getFGSSigma()
      SEE: setFGSLambda
      Returns:
      automatically generated
    • finalize

      protected void finalize() throws Throwable
      Overrides:
      finalize in class SparseMatchInterpolator
      Throws:
      Throwable