Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [313] . More...

#include <opencv2/features.hpp>

Collaboration diagram for cv::AffineFeature:

Public Member Functions
virtual String	getDefaultName () const CV_OVERRIDE

virtual void	getViewParams (std::vector< float > &tilts, std::vector< float > &rolls) const =0

virtual void	setViewParams (const std::vector< float > &tilts, const std::vector< float > &rolls)=0

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).

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).

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.

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

void	read (const String &fileName)

void	write (const String &fileName) const

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

void	write (FileStorage &fs, const String &name) const

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

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state.

virtual void	save (const String &filename) const

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

void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< AffineFeature >	create (const Ptr< Feature2D > &backend, int maxTilt=5, int minTilt=0, float tiltStep=1.4142135623730951f, float rotateStepBase=72)

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.

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

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

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

Detailed Description

Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [313] .

Member Function Documentation

◆ create()

static Ptr< AffineFeature > cv::AffineFeature::create	(	const Ptr< Feature2D > &	backend,
		int	maxTilt = `5`,
		int	minTilt = `0`,
		float	tiltStep = `1.4142135623730951f`,
		float	rotateStepBase = `72`
	)

static

Python:
	cv.AffineFeature.create(	backend[, maxTilt[, minTilt[, tiltStep[, rotateStepBase]]]]	) ->	retval
	cv.AffineFeature_create(	backend[, maxTilt[, minTilt[, tiltStep[, rotateStepBase]]]]	) ->	retval

Parameters

backend	The detector/extractor you want to use as backend.
maxTilt	The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
minTilt	The lowest power index of tilt factor. 0 is used in the paper.
tiltStep	Tilt sampling step \(\delta_t\) in Algorithm 1 in the paper.
rotateStepBase	Rotation sampling step factor b in Algorithm 1 in the paper.

◆ getDefaultName()

virtual String cv::AffineFeature::getDefaultName ( ) const

virtual

Python:
	cv.AffineFeature.getDefaultName(		) ->	retval

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.

Reimplemented from cv::Feature2D.

◆ getViewParams()

virtual void cv::AffineFeature::getViewParams	(	std::vector< float > &	tilts,
		std::vector< float > &	rolls
	)		const

pure virtual

Python:
	cv.AffineFeature.getViewParams(	tilts, rolls	) ->	None

◆ setViewParams()

virtual void cv::AffineFeature::setViewParams	(	const std::vector< float > &	tilts,
		const std::vector< float > &	rolls
	)

pure virtual

Python:
	cv.AffineFeature.setViewParams(	tilts, rolls	) ->	None

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

opencv2/features.hpp

Public Member Functions