Class implementing affine adaptation for key points. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::AffineFeature2D:

Public Member Functions
virtual void	detect (InputArray image, std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0
	Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions. More...

virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
	Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles. More...

Public Member Functions inherited from cv::Feature2D
virtual	~Feature2D ()

virtual void	compute (InputArray image, 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). More...

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

virtual int	defaultNorm () const

virtual int	descriptorSize () const

virtual int	descriptorType () const

virtual void	detect (InputArray image, std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
	Detects keypoints in an image (first variant) or image set (second variant). More...

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

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

virtual bool	empty () const CV_OVERRIDE
	Return true if detector object is empty. More...

virtual String	getDefaultName () const CV_OVERRIDE

void	read (const String &fileName)

virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage. More...

void	write (const String &fileName) const

virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage. More...

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

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual void	save (const String &filename) const

void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...

Static Public Member Functions
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
	Creates an instance wrapping the given keypoint detector and descriptor extractor. More...

static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector)
	Creates an instance where keypoint detector and descriptor extractor are identical. More...

Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file. More...

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

template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node. More...

Additional Inherited Members
Protected Member Functions inherited from cv::Algorithm
void	writeFormat (FileStorage &fs) const

Detailed Description

Class implementing affine adaptation for key points.

A FeatureDetector and a DescriptorExtractor are wrapped to augment the detected points with their affine invariant elliptic region and to compute the feature descriptors on the regions after warping them into circles.

The interface is equivalent to Feature2D, adding operations for Elliptic_KeyPoints instead of KeyPoints.

Member Function Documentation

◆ create() [1/2]

static Ptr<AffineFeature2D> cv::xfeatures2d::AffineFeature2D::create	(	Ptr< FeatureDetector >	keypoint_detector,
		Ptr< DescriptorExtractor >	descriptor_extractor
	)

static

Creates an instance wrapping the given keypoint detector and descriptor extractor.

◆ create() [2/2]

static Ptr<AffineFeature2D> cv::xfeatures2d::AffineFeature2D::create ( Ptr< FeatureDetector > keypoint_detector )

inlinestatic

Creates an instance where keypoint detector and descriptor extractor are identical.

◆ detect()

virtual void cv::xfeatures2d::AffineFeature2D::detect	(	InputArray	image,
		std::vector< Elliptic_KeyPoint > &	keypoints,
		InputArray	mask = `noArray()`
	)

pure virtual

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

◆ detectAndCompute()

virtual void cv::xfeatures2d::AffineFeature2D::detectAndCompute	(	InputArray	image,
		InputArray	mask,
		std::vector< Elliptic_KeyPoint > &	keypoints,
		OutputArray	descriptors,
		bool	useProvidedKeypoints = `false`
	)

pure virtual

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.

The documentation for this class was generated from the following file:

opencv2/xfeatures2d.hpp

Public Member Functions