Package org.opencv.xfeatures2d
Class HarrisLaplaceFeatureDetector
java.lang.Object
org.opencv.core.Algorithm
org.opencv.features2d.Feature2D
org.opencv.xfeatures2d.HarrisLaplaceFeatureDetector
Class implementing the Harris-Laplace feature detector as described in CITE: Mikolajczyk2004.
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Field Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic 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
Returns the algorithm string identifier.float
int
int
int
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.features2d.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
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Constructor Details
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HarrisLaplaceFeatureDetector
protected HarrisLaplaceFeatureDetector(long addr)
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Method Details
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__fromPtr__
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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 pyramidcorn_thresh
- the threshold for the Harris cornerness measureDOG_thresh
- the threshold for the Difference-of-Gaussians scale selectionmaxCorners
- the maximum number of corners to considernum_layers
- the number of intermediate scales per octave- Returns:
- automatically generated
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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 pyramidcorn_thresh
- the threshold for the Harris cornerness measureDOG_thresh
- the threshold for the Difference-of-Gaussians scale selectionmaxCorners
- the maximum number of corners to consider- Returns:
- automatically generated
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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 pyramidcorn_thresh
- the threshold for the Harris cornerness measureDOG_thresh
- the threshold for the Difference-of-Gaussians scale selection- Returns:
- automatically generated
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create
Creates a new implementation instance.- Parameters:
numOctaves
- the number of octaves in the scale-space pyramidcorn_thresh
- the threshold for the Harris cornerness measure- Returns:
- automatically generated
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create
Creates a new implementation instance.- Parameters:
numOctaves
- the number of octaves in the scale-space pyramid- Returns:
- automatically generated
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create
Creates a new implementation instance.- Returns:
- automatically generated
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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
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 classFeature2D
- Returns:
- automatically generated
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finalize
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