Class implementing the Harris-Laplace feature detector as described in [171]. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::HarrisLaplaceFeatureDetector:

Static Public Member Functions
static Ptr< HarrisLaplaceFeatureDetector >	create (int numOctaves=6, float corn_thresh=0.01f, float DOG_thresh=0.01f, int maxCorners=5000, int num_layers=4)
	Creates a new implementation instance. 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
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...

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

Detailed Description

Class implementing the Harris-Laplace feature detector as described in [171].

Member Function Documentation

◆ create()

static Ptr<HarrisLaplaceFeatureDetector> cv::xfeatures2d::HarrisLaplaceFeatureDetector::create	(	int	numOctaves = `6`,
		float	corn_thresh = `0.01f`,
		float	DOG_thresh = `0.01f`,
		int	maxCorners = `5000`,
		int	num_layers = `4`
	)

static

Python:
	cv.xfeatures2d.HarrisLaplaceFeatureDetector_create(	[, numOctaves[, corn_thresh[, DOG_thresh[, maxCorners[, num_layers]]]]]	) ->	retval

Creates a new implementation instance.

Parameters

numOctaves	the number of octaves in the scale-space pyramid
corn_thresh	the threshold for the Harris cornerness measure
DOG_thresh	the threshold for the Difference-of-Gaussians scale selection
maxCorners	the maximum number of corners to consider
num_layers	the number of intermediate scales per octave

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

opencv2/xfeatures2d.hpp

Static Public Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ create()