Package org.opencv.xfeatures2d

Class HarrisLaplaceFeatureDetector

java.lang.Object

org.opencv.core.Algorithm

org.opencv.features.Feature2D

org.opencv.xfeatures2d.HarrisLaplaceFeatureDetector

public class HarrisLaplaceFeatureDetector
extends Feature2D

Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.

Field Summary

Fields inherited from class org.opencv.core.Algorithm

nativeObj

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	HarrisLaplaceFeatureDetector(long addr)

Method Summary

Modifier and Type	Method	Description
static HarrisLaplaceFeatureDetector	__fromPtr__(long addr)
static HarrisLaplaceFeatureDetector	create()	Creates a new implementation instance.
static HarrisLaplaceFeatureDetector	create(int numOctaves)	Creates a new implementation instance.
static HarrisLaplaceFeatureDetector	create(int numOctaves, float corn_thresh)	Creates a new implementation instance.
static HarrisLaplaceFeatureDetector	create(int numOctaves, float corn_thresh, float DOG_thresh)	Creates a new implementation instance.
static HarrisLaplaceFeatureDetector	create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners)	Creates a new implementation instance.
static HarrisLaplaceFeatureDetector	create(int numOctaves, float corn_thresh, float DOG_thresh, int maxCorners, int num_layers)	Creates a new implementation instance.
protected void	finalize()
float	getCornThresh()
java.lang.String	getDefaultName()	Returns the algorithm string identifier.
float	getDOGThresh()
int	getMaxCorners()
int	getNumLayers()
int	getNumOctaves()
void	setCornThresh(float corn_thresh_)
void	setDOGThresh(float DOG_thresh_)
void	setMaxCorners(int maxCorners_)
void	setNumLayers(int num_layers_)
void	setNumOctaves(int numOctaves_)

Methods inherited from class org.opencv.features.Feature2D

compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detectAndCompute, detectAndCompute, empty, read, write

Methods inherited from class org.opencv.core.Algorithm

clear, getNativeObjAddr, save

Methods inherited from class java.lang.Object

clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

HarrisLaplaceFeatureDetector

protected HarrisLaplaceFeatureDetector(long addr)

Method Detail

__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 java.lang.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 java.lang.Throwable

Overrides:

finalize in class Feature2D

Throws:

java.lang.Throwable