cv::GFTTDetector Class Reference

Wrapping class for feature detection using the goodFeaturesToTrack function. : More...

#include <opencv2/features2d.hpp>

Inheritance diagram for cv::GFTTDetector:

Public Member Functions
virtual int	getBlockSize () const =0
virtual String	getDefaultName () const CV_OVERRIDE
virtual int	getGradientSize ()=0
virtual bool	getHarrisDetector () const =0
virtual double	getK () const =0
virtual int	getMaxFeatures () const =0
virtual double	getMinDistance () const =0
virtual double	getQualityLevel () const =0
virtual void	setBlockSize (int blockSize)=0
virtual void	setGradientSize (int gradientSize_)=0
virtual void	setHarrisDetector (bool val)=0
virtual void	setK (double k)=0
virtual void	setMaxFeatures (int maxFeatures)=0
virtual void	setMinDistance (double minDistance)=0
virtual void	setQualityLevel (double qlevel)=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 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< GFTTDetector >	create (int maxCorners, double qualityLevel, double minDistance, int blockSize, int gradiantSize, bool useHarrisDetector=false, double k=0.04)
static Ptr< GFTTDetector >	create (int maxCorners=1000, double qualityLevel=0.01, double minDistance=1, int blockSize=3, bool useHarrisDetector=false, double k=0.04)
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

Wrapping class for feature detection using the goodFeaturesToTrack function. :

Member Function Documentation

create() [1/2]

static Ptr< GFTTDetector > cv::GFTTDetector::create ( int  maxCorners, double  qualityLevel, double  minDistance, int  blockSize, int  gradiantSize, bool  useHarrisDetector = false, double  k = 0.04  )

static

create() [2/2]

static Ptr< GFTTDetector > cv::GFTTDetector::create ( int  maxCorners = 1000, double  qualityLevel = 0.01, double  minDistance = 1, int  blockSize = 3, bool  useHarrisDetector = false, double  k = 0.04  )

static

getBlockSize()

virtual int cv::GFTTDetector::getBlockSize ( ) const

pure virtual

getDefaultName()

virtual String cv::GFTTDetector::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.

Reimplemented from cv::Feature2D.

getGradientSize()

virtual int cv::GFTTDetector::getGradientSize ( )

pure virtual

getHarrisDetector()

virtual bool cv::GFTTDetector::getHarrisDetector ( ) const

pure virtual

getK()

virtual double cv::GFTTDetector::getK ( ) const

pure virtual

getMaxFeatures()

virtual int cv::GFTTDetector::getMaxFeatures ( ) const

pure virtual

getMinDistance()

virtual double cv::GFTTDetector::getMinDistance ( ) const

pure virtual

getQualityLevel()

virtual double cv::GFTTDetector::getQualityLevel ( ) const

pure virtual

setBlockSize()

virtual void cv::GFTTDetector::setBlockSize ( int  blockSize )

pure virtual

setGradientSize()

virtual void cv::GFTTDetector::setGradientSize ( int  gradientSize_ )

pure virtual

setHarrisDetector()

virtual void cv::GFTTDetector::setHarrisDetector ( bool  val )

pure virtual

setK()

virtual void cv::GFTTDetector::setK ( double  k )

pure virtual

setMaxFeatures()

virtual void cv::GFTTDetector::setMaxFeatures ( int  maxFeatures )

pure virtual

setMinDistance()

virtual void cv::GFTTDetector::setMinDistance ( double  minDistance )

pure virtual

setQualityLevel()

virtual void cv::GFTTDetector::setQualityLevel ( double  qlevel )

pure virtual

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

• opencv2/features2d.hpp