Package org.opencv.xfeatures2d

Class HarrisLaplaceFeatureDetector

java.lang.Object
org.opencv.core.Algorithm
org.opencv.features2d.Feature2D
org.opencv.xfeatures2d.HarrisLaplaceFeatureDetector
public class HarrisLaplaceFeatureDetector extends Feature2D
Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.

  • Constructor Details

    • HarrisLaplaceFeatureDetector

      protected HarrisLaplaceFeatureDetector(long addr)

  • Method Details

    • __fromPtr__

      public static HarrisLaplaceFeatureDetector __fromPtr__(long addr)

    • create

      public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners, int num_layers)
      Creates a new implementation instance.
      Parameters:
      numOctaves - the number of octaves in the scale-space pyramid
      corn_thresh - the threshold for the Harris cornerness measure
      DOG_thresh - the threshold for the Difference-of-Gaussians scale selection
      maxCorners - the maximum number of corners to consider
      num_layers - the number of intermediate scales per octave
      Returns:
      automatically generated

    • create

      public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners)
      Creates a new implementation instance.
      Parameters:
      numOctaves - the number of octaves in the scale-space pyramid
      corn_thresh - the threshold for the Harris cornerness measure
      DOG_thresh - the threshold for the Difference-of-Gaussians scale selection
      maxCorners - the maximum number of corners to consider
      Returns:
      automatically generated

    • create

      public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh, float DOG_thresh)
      Creates a new implementation instance.
      Parameters:
      numOctaves - the number of octaves in the scale-space pyramid
      corn_thresh - the threshold for the Harris cornerness measure
      DOG_thresh - the threshold for the Difference-of-Gaussians scale selection
      Returns:
      automatically generated

    • create

      public static HarrisLaplaceFeatureDetector create(int numOctaves, float corn_thresh)
      Creates a new implementation instance.
      Parameters:
      numOctaves - the number of octaves in the scale-space pyramid
      corn_thresh - the threshold for the Harris cornerness measure
      Returns:
      automatically generated

    • create

      public static HarrisLaplaceFeatureDetector create(int numOctaves)
      Creates a new implementation instance.
      Parameters:
      numOctaves - the number of octaves in the scale-space pyramid
      Returns:
      automatically generated

    • create

      public static HarrisLaplaceFeatureDetector create()
      Creates a new implementation instance.
      Returns:
      automatically generated

    • setNumOctaves

      public void setNumOctaves(int numOctaves_)

    • getNumOctaves

      public int getNumOctaves()

    • setCornThresh

      public void setCornThresh(float corn_thresh_)

    • getCornThresh

      public float getCornThresh()

    • setDOGThresh

      public void setDOGThresh(float DOG_thresh_)

    • getDOGThresh

      public float getDOGThresh()

    • setMaxCorners

      public void setMaxCorners(int maxCorners_)

    • getMaxCorners

      public int getMaxCorners()

    • setNumLayers

      public void setNumLayers(int num_layers_)

    • getNumLayers

      public int getNumLayers()

    • getDefaultName

      public String getDefaultName()
      Description copied from class: Algorithm
      Returns the algorithm string identifier. This string is used as top level xml/yml node tag when the object is saved to a file or string.
      Overrides:
      getDefaultName in class Feature2D
      Returns:
      automatically generated

    • finalize

      protected void finalize() throws Throwable
      Overrides:
      finalize in class Feature2D
      Throws:
      Throwable