Package org.opencv.xfeatures2d
Class VGG
java.lang.Object
org.opencv.core.Algorithm
org.opencv.features2d.Feature2D
org.opencv.xfeatures2d.VGG
Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end
using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in CITE: Simonyan14.
desc type of descriptor to use, VGG::VGG_120 is default (120 dimensions float)
Available types are VGG::VGG_120, VGG::VGG_80, VGG::VGG_64, VGG::VGG_48
isigma gaussian kernel value for image blur (default is 1.4f)
img_normalize use image sample intensity normalization (enabled by default)
use_orientation sample patterns using keypoints orientation, enabled by default
scale_factor adjust the sampling window of detected keypoints to 64.0f (VGG sampling window)
6.25f is default and fits for KAZE, SURF detected keypoints window ratio
6.75f should be the scale for SIFT detected keypoints window ratio
5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio
0.75f should be the scale for ORB keypoints ratio
dsc_normalize clamp descriptors to 255 and convert to uchar CV_8UC1 (disabled by default)
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Field Summary
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic VGG
__fromPtr__
(long addr) static VGG
create()
static VGG
create
(int desc) static VGG
create
(int desc, float isigma) static VGG
create
(int desc, float isigma, boolean img_normalize) static VGG
create
(int desc, float isigma, boolean img_normalize, boolean use_scale_orientation) static VGG
create
(int desc, float isigma, boolean img_normalize, boolean use_scale_orientation, float scale_factor) static VGG
create
(int desc, float isigma, boolean img_normalize, boolean use_scale_orientation, float scale_factor, boolean dsc_normalize) protected void
finalize()
Returns the algorithm string identifier.float
float
getSigma()
boolean
boolean
boolean
void
setScaleFactor
(float scale_factor) void
setSigma
(float isigma) void
setUseNormalizeDescriptor
(boolean dsc_normalize) void
setUseNormalizeImage
(boolean img_normalize) void
setUseScaleOrientation
(boolean use_scale_orientation) 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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VGG
protected VGG(long addr)
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Method Details
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__fromPtr__
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create
public static VGG create(int desc, float isigma, boolean img_normalize, boolean use_scale_orientation, float scale_factor, boolean dsc_normalize) -
create
public static VGG create(int desc, float isigma, boolean img_normalize, boolean use_scale_orientation, float scale_factor) -
create
public static VGG create(int desc, float isigma, boolean img_normalize, boolean use_scale_orientation) -
create
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create
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create
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create
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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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setSigma
public void setSigma(float isigma) -
getSigma
public float getSigma() -
setUseNormalizeImage
public void setUseNormalizeImage(boolean img_normalize) -
getUseNormalizeImage
public boolean getUseNormalizeImage() -
setUseScaleOrientation
public void setUseScaleOrientation(boolean use_scale_orientation) -
getUseScaleOrientation
public boolean getUseScaleOrientation() -
setScaleFactor
public void setScaleFactor(float scale_factor) -
getScaleFactor
public float getScaleFactor() -
setUseNormalizeDescriptor
public void setUseNormalizeDescriptor(boolean dsc_normalize) -
getUseNormalizeDescriptor
public boolean getUseNormalizeDescriptor() -
finalize
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