Class implementing the AKAZE keypoint detector and descriptor extractor, described in [ANB13]. [詳解]

#include <features2d.hpp>

cv::Feature2Dを継承しています。

公開型
enum	DescriptorType { DESCRIPTOR_KAZE_UPRIGHT = 2 , DESCRIPTOR_KAZE = 3 , DESCRIPTOR_MLDB_UPRIGHT = 4 , DESCRIPTOR_MLDB = 5 }

公開メンバ関数
virtual CV_WRAP void	setDescriptorType (AKAZE::DescriptorType dtype)=0

virtual CV_WRAP AKAZE::DescriptorType	getDescriptorType () const =0

virtual CV_WRAP void	setDescriptorSize (int dsize)=0

virtual CV_WRAP int	getDescriptorSize () const =0

virtual CV_WRAP void	setDescriptorChannels (int dch)=0

virtual CV_WRAP int	getDescriptorChannels () const =0

virtual CV_WRAP void	setThreshold (double threshold)=0

virtual CV_WRAP double	getThreshold () const =0

virtual CV_WRAP void	setNOctaves (int octaves)=0

virtual CV_WRAP int	getNOctaves () const =0

virtual CV_WRAP void	setNOctaveLayers (int octaveLayers)=0

virtual CV_WRAP int	getNOctaveLayers () const =0

virtual CV_WRAP void	setDiffusivity (KAZE::DiffusivityType diff)=0

virtual CV_WRAP KAZE::DiffusivityType	getDiffusivity () const =0

virtual CV_WRAP String	getDefaultName () const CV_OVERRIDE

基底クラス cv::Feature2D に属する継承公開メンバ関数
virtual CV_WRAP void	detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant). [詳解]

virtual CV_WRAP void	detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())

virtual CV_WRAP void	compute (InputArray image, CV_OUT CV_IN_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors)
	Computes the descriptors for a set of keypoints detected in an image (first variant) or image set (second variant). [詳解]

virtual CV_WRAP void	compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)

virtual CV_WRAP void	detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)

virtual CV_WRAP int	descriptorSize () const

virtual CV_WRAP int	descriptorType () const

virtual CV_WRAP int	defaultNorm () const

CV_WRAP void	write (const String &fileName) const

CV_WRAP void	read (const String &fileName)

virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage [詳解]

virtual CV_WRAP void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage [詳解]

virtual CV_WRAP bool	empty () const CV_OVERRIDE
	Return true if detector object is empty [詳解]

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const

基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

virtual CV_WRAP void	save (const String &filename) const

静的公開メンバ関数
static CV_WRAP Ptr< AKAZE >	create (AKAZE::DescriptorType descriptor_type=AKAZE::DESCRIPTOR_MLDB, int descriptor_size=0, int descriptor_channels=3, float threshold=0.001f, int nOctaves=4, int nOctaveLayers=4, KAZE::DiffusivityType diffusivity=KAZE::DIFF_PM_G2)
	The AKAZE constructor [詳解]

基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]

template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

その他の継承メンバ
基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

Class implementing the AKAZE keypoint detector and descriptor extractor, described in [ANB13].

AKAZE descriptors can only be used with KAZE or AKAZE keypoints. This class is thread-safe.

覚え書き: 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.; AKAZE implements T-API. When image is passed as UMat some parts of the algorithm will use OpenCL.; [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.

列挙型メンバ詳解

◆ DescriptorType

enum cv::AKAZE::DescriptorType

列挙値
DESCRIPTOR_KAZE_UPRIGHT	Upright descriptors, not invariant to rotation
DESCRIPTOR_MLDB_UPRIGHT	Upright descriptors, not invariant to rotation

関数詳解

◆ create()

static CV_WRAP Ptr< AKAZE > cv::AKAZE::create	(	AKAZE::DescriptorType	descriptor_type = `AKAZE::DESCRIPTOR_MLDB`,
		int	descriptor_size = `0`,
		int	descriptor_channels = `3`,
		float	threshold = `0.001f`,
		int	nOctaves = `4`,
		int	nOctaveLayers = `4`,
		KAZE::DiffusivityType	diffusivity = `KAZE::DIFF_PM_G2`
	)

static

The AKAZE constructor

引数

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
descriptor_channels	Number of channels in the descriptor (1, 2, 3)
threshold	Detector response threshold to accept point
nOctaves	Maximum octave evolution of the image
nOctaveLayers	Default number of sublevels per scale level
diffusivity	Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER

◆ getDefaultName()

virtual CV_WRAP String cv::AKAZE::getDefaultName ( ) const

virtual

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.

cv::Feature2Dを再実装しています。

このクラス詳解は次のファイルから抽出されました:

features2d.hpp

公開型

公開メンバ関数

静的公開メンバ関数

その他の継承メンバ

詳解

列挙型メンバ詳解

◆ DescriptorType

関数詳解

◆ create()

◆ getDefaultName()