Class implementing DAISY descriptor, described in [Tola10] [詳解]

#include <xfeatures2d.hpp>

cv::Feature2Dを継承しています。

公開型
enum	NormalizationType { NRM_NONE = 100 , NRM_PARTIAL = 101 , NRM_FULL = 102 , NRM_SIFT = 103 }

公開メンバ関数
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors) CV_OVERRIDE=0

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

virtual void	compute (InputArray image, Rect roi, OutputArray descriptors)=0

virtual void	compute (InputArray image, OutputArray descriptors)=0

virtual void	GetDescriptor (double y, double x, int orientation, float *descriptor) const =0

virtual bool	GetDescriptor (double y, double x, int orientation, float descriptor, double H) const =0

virtual void	GetUnnormalizedDescriptor (double y, double x, int orientation, float *descriptor) const =0

virtual bool	GetUnnormalizedDescriptor (double y, double x, int orientation, float descriptor, double H) const =0

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]

virtual CV_WRAP String	getDefaultName () const CV_OVERRIDE

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< DAISY >	create (float radius=15, int q_radius=3, int q_theta=8, int q_hist=8, DAISY::NormalizationType norm=DAISY::NRM_NONE, InputArray H=noArray(), bool interpolation=true, bool use_orientation=false)

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 DAISY descriptor, described in [Tola10]

引数

radius	radius of the descriptor at the initial scale
q_radius	amount of radial range division quantity
q_theta	amount of angular range division quantity
q_hist	amount of gradient orientations range division quantity
norm	choose descriptors normalization type, where DAISY::NRM_NONE will not do any normalization (default), DAISY::NRM_PARTIAL mean that histograms are normalized independently for L2 norm equal to 1.0, DAISY::NRM_FULL mean that descriptors are normalized for L2 norm equal to 1.0, DAISY::NRM_SIFT mean that descriptors are normalized for L2 norm equal to 1.0 but no individual one is bigger than 0.154 as in SIFT
H	optional 3x3 homography matrix used to warp the grid of daisy but sampling keypoints remains unwarped on image
interpolation	switch to disable interpolation for speed improvement at minor quality loss
use_orientation	sample patterns using keypoints orientation, disabled by default.

関数詳解

◆ compute() [1/3]

virtual void cv::xfeatures2d::DAISY::compute	(	InputArray	image,
		OutputArray	descriptors
	)

pure virtual

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。

引数

image	image to extract descriptors
descriptors	resulted descriptors array for all image pixels

◆ compute() [2/3]

virtual void cv::xfeatures2d::DAISY::compute	(	InputArray	image,
		Rect	roi,
		OutputArray	descriptors
	)

pure virtual

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。

引数

image	image to extract descriptors
roi	region of interest within image
descriptors	resulted descriptors array for roi image pixels

◆ compute() [3/3]

virtual void cv::xfeatures2d::DAISY::compute	(	InputArray	image,
		std::vector< KeyPoint > &	keypoints,
		OutputArray	descriptors
	)

pure virtual

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。

引数

image	image to extract descriptors
keypoints	of interest within image
descriptors	resulted descriptors array

◆ GetDescriptor() [1/2]

virtual void cv::xfeatures2d::DAISY::GetDescriptor	(	double	y,
		double	x,
		int	orientation,
		float *	descriptor
	)		const

pure virtual

引数

y	position y on image
x	position x on image
orientation	orientation on image (0->360)
descriptor	supplied array for descriptor storage

◆ GetDescriptor() [2/2]

virtual bool cv::xfeatures2d::DAISY::GetDescriptor	(	double	y,
		double	x,
		int	orientation,
		float *	descriptor,
		double *	H
	)		const

pure virtual

引数

y	position y on image
x	position x on image
orientation	orientation on image (0->360)
descriptor	supplied array for descriptor storage
H	homography matrix for warped grid

◆ GetUnnormalizedDescriptor() [1/2]

virtual void cv::xfeatures2d::DAISY::GetUnnormalizedDescriptor	(	double	y,
		double	x,
		int	orientation,
		float *	descriptor
	)		const

pure virtual

引数

y	position y on image
x	position x on image
orientation	orientation on image (0->360)
descriptor	supplied array for descriptor storage

◆ GetUnnormalizedDescriptor() [2/2]

virtual bool cv::xfeatures2d::DAISY::GetUnnormalizedDescriptor	(	double	y,
		double	x,
		int	orientation,
		float *	descriptor,
		double *	H
	)		const

pure virtual

引数

y	position y on image
x	position x on image
orientation	orientation on image (0->360)
descriptor	supplied array for descriptor storage
H	homography matrix for warped grid

このクラス詳解は次のファイルから抽出されました:

xfeatures2d.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

関数詳解

◆ compute() [1/3]

◆ compute() [2/3]

◆ compute() [3/3]

◆ GetDescriptor() [1/2]

◆ GetDescriptor() [2/2]

◆ GetUnnormalizedDescriptor() [1/2]

◆ GetUnnormalizedDescriptor() [2/2]