cv::GFTTDetector Class Reference

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

#include "features2d.hpp"

Inheritance diagram for cv::GFTTDetector:

Public Member Functions
virtual int	getBlockSize () const =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	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). 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
	Return true if detector object is empty. More...
Public Member Functions inherited from cv::Algorithm
	Algorithm ()
virtual	~Algorithm ()
virtual void	clear ()
	Clears the algorithm state. More...
virtual String	getDefaultName () const
virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...
virtual void	save (const String &filename) const
virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

Static Public Member Functions
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. 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...

Detailed Description

Wrapping class for feature detection using the goodFeaturesToTrack function. :

Member Function Documentation

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

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

pure virtual

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

• features2d/include/opencv2/features2d.hpp