Package org.opencv.xfeatures2d
Class FREAK
- java.lang.Object
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- org.opencv.core.Algorithm
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- org.opencv.features.Feature2D
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- org.opencv.xfeatures2d.FREAK
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public class FREAK extends Feature2D
Class implementing the FREAK (*Fast Retina Keypoint*) keypoint descriptor, described in CITE: AOV12 . The algorithm propose a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Key- point (FREAK). A cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling pattern. FREAKs are in general faster to compute with lower memory load and also more robust than SIFT, SURF or BRISK. They are competitive alternatives to existing keypoints in particular for embedded applications. Note:- An example on how to use the FREAK descriptor can be found at opencv_source_code/samples/cpp/freak_demo.cpp
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Constructor Summary
Constructors Modifier Constructor Description protectedFREAK(long addr)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static FREAK__fromPtr__(long addr)static FREAKcreate()static FREAKcreate(boolean orientationNormalized)static FREAKcreate(boolean orientationNormalized, boolean scaleNormalized)static FREAKcreate(boolean orientationNormalized, boolean scaleNormalized, float patternScale)static FREAKcreate(boolean orientationNormalized, boolean scaleNormalized, float patternScale, int nOctaves)static FREAKcreate(boolean orientationNormalized, boolean scaleNormalized, float patternScale, int nOctaves, MatOfInt selectedPairs)protected voidfinalize()java.lang.StringgetDefaultName()Returns the algorithm string identifier.intgetNOctaves()booleangetOrientationNormalized()doublegetPatternScale()booleangetScaleNormalized()voidsetNOctaves(int nOctaves)voidsetOrientationNormalized(boolean orientationNormalized)voidsetPatternScale(double patternScale)voidsetScaleNormalized(boolean scaleNormalized)-
Methods inherited from class org.opencv.features.Feature2D
compute, compute, defaultNorm, descriptorSize, descriptorType, detect, detect, detect, detect, detectAndCompute, detectAndCompute, empty, read, write
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Methods inherited from class org.opencv.core.Algorithm
clear, getNativeObjAddr, save
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Method Detail
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__fromPtr__
public static FREAK __fromPtr__(long addr)
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create
public static FREAK create(boolean orientationNormalized, boolean scaleNormalized, float patternScale, int nOctaves, MatOfInt selectedPairs)
- Parameters:
orientationNormalized- Enable orientation normalization.scaleNormalized- Enable scale normalization.patternScale- Scaling of the description pattern.nOctaves- Number of octaves covered by the detected keypoints.selectedPairs- (Optional) user defined selected pairs indexes,- Returns:
- automatically generated
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create
public static FREAK create(boolean orientationNormalized, boolean scaleNormalized, float patternScale, int nOctaves)
- Parameters:
orientationNormalized- Enable orientation normalization.scaleNormalized- Enable scale normalization.patternScale- Scaling of the description pattern.nOctaves- Number of octaves covered by the detected keypoints.- Returns:
- automatically generated
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create
public static FREAK create(boolean orientationNormalized, boolean scaleNormalized, float patternScale)
- Parameters:
orientationNormalized- Enable orientation normalization.scaleNormalized- Enable scale normalization.patternScale- Scaling of the description pattern.- Returns:
- automatically generated
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create
public static FREAK create(boolean orientationNormalized, boolean scaleNormalized)
- Parameters:
orientationNormalized- Enable orientation normalization.scaleNormalized- Enable scale normalization.- Returns:
- automatically generated
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create
public static FREAK create(boolean orientationNormalized)
- Parameters:
orientationNormalized- Enable orientation normalization.- Returns:
- automatically generated
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create
public static FREAK create()
- Returns:
- automatically generated
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setOrientationNormalized
public void setOrientationNormalized(boolean orientationNormalized)
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getOrientationNormalized
public boolean getOrientationNormalized()
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setScaleNormalized
public void setScaleNormalized(boolean scaleNormalized)
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getScaleNormalized
public boolean getScaleNormalized()
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setPatternScale
public void setPatternScale(double patternScale)
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getPatternScale
public double getPatternScale()
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setNOctaves
public void setNOctaves(int nOctaves)
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getNOctaves
public int getNOctaves()
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getDefaultName
public java.lang.String getDefaultName()
Description copied from class:AlgorithmReturns 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:
getDefaultNamein classFeature2D- Returns:
- automatically generated
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