cv::xfeatures2d::TBMR Class Reference

Class implementing the Tree Based Morse Regions (TBMR) as described in [Najman2014] extended with scaled extraction ability. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::TBMR:

Public Member Functions
virtual float	getMaxAreaRelative () const =0
virtual int	getMinArea () const =0
virtual int	getNScales () const =0
virtual float	getScaleFactor () const =0
virtual void	setMaxAreaRelative (float maxArea)=0
virtual void	setMinArea (int minArea)=0
virtual void	setNScales (int n_scales)=0
virtual void	setScaleFactor (float scale_factor)=0
Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D
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.
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< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
	Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.
virtual void	detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
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 String	getDefaultName () const CV_OVERRIDE
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	read (const String &fileName)
void	write (const Ptr< FileStorage > &fs, const String &name) const
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 bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< TBMR >	create (int min_area=60, float max_area_relative=0.01f, float scale_factor=1.25f, int n_scales=-1)
Static Public Member Functions inherited from cv::xfeatures2d::AffineFeature2D
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector)
	Creates an instance where keypoint detector and descriptor extractor are identical.
static Ptr< AffineFeature2D >	create (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
	Creates an instance wrapping the given keypoint detector and descriptor extractor.
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 implementing the Tree Based Morse Regions (TBMR) as described in [Najman2014] extended with scaled extraction ability.

Parameters

min_area	prune areas smaller than minArea
max_area_relative	prune areas bigger than maxArea = max_area_relative * input_image_size
scale_factor	scale factor for scaled extraction.
n_scales	number of applications of the scale factor (octaves).

Note

This algorithm is based on Component Tree (Min/Max) as well as MSER but uses a Morse-theory approach to extract features.

Features are ellipses (similar to MSER, however a MSER feature can never be a TBMR feature and vice versa).

Member Function Documentation

create()

static Ptr< TBMR > cv::xfeatures2d::TBMR::create ( int  min_area = 60, float  max_area_relative = 0.01f, float  scale_factor = 1.25f, int  n_scales = -1  )

static

getMaxAreaRelative()

virtual float cv::xfeatures2d::TBMR::getMaxAreaRelative ( ) const

pure virtual

getMinArea()

virtual int cv::xfeatures2d::TBMR::getMinArea ( ) const

pure virtual

getNScales()

virtual int cv::xfeatures2d::TBMR::getNScales ( ) const

pure virtual

getScaleFactor()

virtual float cv::xfeatures2d::TBMR::getScaleFactor ( ) const

pure virtual

setMaxAreaRelative()

virtual void cv::xfeatures2d::TBMR::setMaxAreaRelative ( float  maxArea )

pure virtual

setMinArea()

virtual void cv::xfeatures2d::TBMR::setMinArea ( int  minArea )

pure virtual

setNScales()

virtual void cv::xfeatures2d::TBMR::setNScales ( int  n_scales )

pure virtual

setScaleFactor()

virtual void cv::xfeatures2d::TBMR::setScaleFactor ( float  scale_factor )

pure virtual

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

• opencv2/xfeatures2d.hpp