Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in [163]. More...

#include "xfeatures2d.hpp"

Inheritance diagram for cv::xfeatures2d::VGG:

Public Types
enum	{ VGG_120 = 100, VGG_80 = 101, VGG_64 = 102, VGG_48 = 103 }

Public Member Functions
virtual void	compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors)=0

Public Member Functions inherited from cv::Feature2D
virtual	~Feature2D ()

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...

virtual String	getDefaultName () const

void	read (const String &fileName)

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

void	write (const String &fileName) const

virtual void	write (FileStorage &) const
	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...

Static Public Member Functions
static Ptr< VGG >	create (int desc=VGG::VGG_120, float isigma=1.4f, bool img_normalize=true, bool use_scale_orientation=true, float scale_factor=6.25f, bool dsc_normalize=false)

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

Detailed Description

Class implementing VGG (Oxford Visual Geometry Group) descriptor trained end to end using "Descriptor Learning Using Convex Optimisation" (DLCO) aparatus described in [163].

Parameters

desc	type of descriptor to use, VGG::VGG_120 is default (120 dimensions float) Available types are VGG::VGG_120, VGG::VGG_80, VGG::VGG_64, VGG::VGG_48
isigma	gaussian kernel value for image blur (default is 1.4f)
img_normalize	use image sample intensity normalization (enabled by default)
use_orientation	sample patterns using keypoints orientation, enabled by default
scale_factor	adjust the sampling window of detected keypoints to 64.0f (VGG sampling window) 6.25f is default and fits for KAZE, SURF detected keypoints window ratio 6.75f should be the scale for SIFT detected keypoints window ratio 5.00f should be the scale for AKAZE, MSD, AGAST, FAST, BRISK keypoints window ratio 0.75f should be the scale for ORB keypoints ratio
dsc_normalize	clamp descriptors to 255 and convert to uchar CV_8UC1 (disabled by default)

Member Enumeration Documentation

§ anonymous enum

anonymous enum

Enumerator
VGG_120
VGG_80
VGG_64
VGG_48

Member Function Documentation

§ compute()

virtual void cv::xfeatures2d::VGG::compute	(	InputArray	image,
		std::vector< KeyPoint > &	keypoints,
		OutputArray	descriptors
	)

pure virtual

Python:
	descriptors	=	cv.xfeatures2d_VGG.compute(	image, keypoints[, descriptors]	)

Parameters

image	image to extract descriptors
keypoints	of interest within image
descriptors	resulted descriptors array

Reimplemented from cv::Feature2D.

§ create()

static Ptr<VGG> cv::xfeatures2d::VGG::create	(	int	desc = `VGG::VGG_120`,
		float	isigma = `1.4f`,
		bool	img_normalize = `true`,
		bool	use_scale_orientation = `true`,
		float	scale_factor = `6.25f`,
		bool	dsc_normalize = `false`
	)

static

Python:
	retval	=	cv.xfeatures2d.VGG_create(	[, desc[, isigma[, img_normalize[, use_scale_orientation[, scale_factor[, dsc_normalize]]]]]]	)

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

/build/master-contrib_docs-lin64/opencv_contrib/modules/xfeatures2d/include/opencv2/xfeatures2d.hpp

Public Types

Public Member Functions