Package org.opencv.features2d
Class AKAZE
- java.lang.Object
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- org.opencv.core.Algorithm
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- org.opencv.features2d.Feature2D
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- org.opencv.features2d.AKAZE
 
 
 
 
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public class AKAZE extends Feature2D
Class implementing the AKAZE keypoint detector and descriptor extractor, described in CITE: ANB13. AKAZE descriptors can only be used with KAZE or AKAZE keypoints. This class is thread-safe. Note: When you need descriptors use Feature2D::detectAndCompute, which provides better performance. When using Feature2D::detect followed by Feature2D::compute scale space pyramid is computed twice. Note: AKAZE implements T-API. When image is passed as UMat some parts of the algorithm will use OpenCL. Note: [ANB13] Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces. Pablo F. Alcantarilla, Jesús Nuevo and Adrien Bartoli. In British Machine Vision Conference (BMVC), Bristol, UK, September 2013. 
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Field Summary
Fields Modifier and Type Field Description static intDESCRIPTOR_KAZEstatic intDESCRIPTOR_KAZE_UPRIGHTstatic intDESCRIPTOR_MLDBstatic intDESCRIPTOR_MLDB_UPRIGHT 
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Constructor Summary
Constructors Modifier Constructor Description protectedAKAZE(long addr) 
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static AKAZE__fromPtr__(long addr)static AKAZEcreate()The AKAZE constructor DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.static AKAZEcreate(int descriptor_type)The AKAZE constructorstatic AKAZEcreate(int descriptor_type, int descriptor_size)The AKAZE constructorstatic AKAZEcreate(int descriptor_type, int descriptor_size, int descriptor_channels)The AKAZE constructorstatic AKAZEcreate(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold)The AKAZE constructorstatic AKAZEcreate(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves)The AKAZE constructorstatic AKAZEcreate(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers)The AKAZE constructorstatic AKAZEcreate(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers, int diffusivity)The AKAZE constructorprotected voidfinalize()java.lang.StringgetDefaultName()Returns the algorithm string identifier.intgetDescriptorChannels()intgetDescriptorSize()intgetDescriptorType()intgetDiffusivity()intgetNOctaveLayers()intgetNOctaves()doublegetThreshold()voidsetDescriptorChannels(int dch)voidsetDescriptorSize(int dsize)voidsetDescriptorType(int dtype)voidsetDiffusivity(int diff)voidsetNOctaveLayers(int octaveLayers)voidsetNOctaves(int octaves)voidsetThreshold(double threshold)- 
Methods inherited from class org.opencv.features2d.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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Field Detail
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DESCRIPTOR_KAZE_UPRIGHT
public static final int DESCRIPTOR_KAZE_UPRIGHT
- See Also:
 - Constant Field Values
 
 
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DESCRIPTOR_KAZE
public static final int DESCRIPTOR_KAZE
- See Also:
 - Constant Field Values
 
 
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DESCRIPTOR_MLDB_UPRIGHT
public static final int DESCRIPTOR_MLDB_UPRIGHT
- See Also:
 - Constant Field Values
 
 
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DESCRIPTOR_MLDB
public static final int DESCRIPTOR_MLDB
- See Also:
 - Constant Field Values
 
 
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Method Detail
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__fromPtr__
public static AKAZE __fromPtr__(long addr)
 
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getDescriptorType
public int getDescriptorType()
 
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getDiffusivity
public int getDiffusivity()
 
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create
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers, int diffusivity)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.descriptor_size- Size of the descriptor in bits. 0 -> Full sizedescriptor_channels- Number of channels in the descriptor (1, 2, 3)threshold- Detector response threshold to accept pointnOctaves- Maximum octave evolution of the imagenOctaveLayers- Default number of sublevels per scale leveldiffusivity- Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves, int nOctaveLayers)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.descriptor_size- Size of the descriptor in bits. 0 -> Full sizedescriptor_channels- Number of channels in the descriptor (1, 2, 3)threshold- Detector response threshold to accept pointnOctaves- Maximum octave evolution of the imagenOctaveLayers- Default number of sublevels per scale level DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold, int nOctaves)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.descriptor_size- Size of the descriptor in bits. 0 -> Full sizedescriptor_channels- Number of channels in the descriptor (1, 2, 3)threshold- Detector response threshold to accept pointnOctaves- Maximum octave evolution of the image DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels, float threshold)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.descriptor_size- Size of the descriptor in bits. 0 -> Full sizedescriptor_channels- Number of channels in the descriptor (1, 2, 3)threshold- Detector response threshold to accept point DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create(int descriptor_type, int descriptor_size, int descriptor_channels)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.descriptor_size- Size of the descriptor in bits. 0 -> Full sizedescriptor_channels- Number of channels in the descriptor (1, 2, 3) DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create(int descriptor_type, int descriptor_size)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT.descriptor_size- Size of the descriptor in bits. 0 -> Full size DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create(int descriptor_type)
The AKAZE constructor- Parameters:
 descriptor_type- Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT. DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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create
public static AKAZE create()
The AKAZE constructor DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT. DIFF_CHARBONNIER- Returns:
 - automatically generated
 
 
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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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getThreshold
public double getThreshold()
 
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getDescriptorChannels
public int getDescriptorChannels()
 
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getDescriptorSize
public int getDescriptorSize()
 
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getNOctaveLayers
public int getNOctaveLayers()
 
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getNOctaves
public int getNOctaves()
 
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setDescriptorChannels
public void setDescriptorChannels(int dch)
 
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setDescriptorSize
public void setDescriptorSize(int dsize)
 
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setDescriptorType
public void setDescriptorType(int dtype)
 
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setDiffusivity
public void setDiffusivity(int diff)
 
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setNOctaveLayers
public void setNOctaveLayers(int octaveLayers)
 
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setNOctaves
public void setNOctaves(int octaves)
 
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setThreshold
public void setThreshold(double threshold)
 
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