Class implements both functionalities for detection of lines and computation of their binary descriptor. More...

#include <opencv2/line_descriptor/descriptor.hpp>

Inheritance diagram for cv::line_descriptor::BinaryDescriptor:

Classes
struct	Params
	List of BinaryDescriptor parameters: More...

Public Member Functions
	BinaryDescriptor (const BinaryDescriptor::Params &parameters=BinaryDescriptor::Params())
	Constructor. More...

	~BinaryDescriptor ()

void	compute (const Mat &image, std::vector< KeyLine > &keylines, Mat &descriptors, bool returnFloatDescr=false) const
	Requires descriptors computation. More...

void	compute (const std::vector< Mat > &images, std::vector< std::vector< KeyLine > > &keylines, std::vector< Mat > &descriptors, bool returnFloatDescr=false) const

int	defaultNorm () const

int	descriptorSize () const
	Return descriptor size. More...

int	descriptorType () const
	Return data type. More...

void	detect (const Mat &image, std::vector< KeyLine > &keypoints, const Mat &mask=Mat())
	Requires line detection. More...

void	detect (const std::vector< Mat > &images, std::vector< std::vector< KeyLine > > &keylines, const std::vector< Mat > &masks=std::vector< Mat >()) const

int	getNumOfOctaves ()
	Get current number of octaves. More...

int	getReductionRatio ()
	Get current reduction ratio (used in Gaussian pyramids) More...

int	getWidthOfBand ()
	Get current width of bands. More...

virtual void	operator() (InputArray image, InputArray mask, std::vector< KeyLine > &keylines, OutputArray descriptors, bool useProvidedKeyLines=false, bool returnFloatDescr=false) const
	Define operator '()' to perform detection of KeyLines and computation of descriptors in a row. More...

virtual void	read (const cv::FileNode &fn) CV_OVERRIDE
	Read parameters from a FileNode object and store them. More...

void	setNumOfOctaves (int octaves)
	Set number of octaves. More...

void	setReductionRatio (int rRatio)
	Set reduction ratio (used in Gaussian pyramids) More...

void	setWidthOfBand (int width)
	Set width of bands. More...

virtual void	write (cv::FileStorage &fs) const CV_OVERRIDE
	Store parameters to a FileStorage object. More...

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read. More...

virtual String	getDefaultName () const

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< BinaryDescriptor >	createBinaryDescriptor ()
	Create a BinaryDescriptor object with default parameters (or with the ones provided) and return a smart pointer to it. More...

static Ptr< BinaryDescriptor >	createBinaryDescriptor (Params parameters)

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...

Protected Member Functions
virtual void	computeImpl (const Mat &imageSrc, std::vector< KeyLine > &keylines, Mat &descriptors, bool returnFloatDescr, bool useDetectionData) const

virtual void	detectImpl (const Mat &imageSrc, std::vector< KeyLine > &keylines, const Mat &mask=Mat()) const

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

Detailed Description

Class implements both functionalities for detection of lines and computation of their binary descriptor.

Class' interface is mainly based on the ones of classical detectors and extractors, such as Feature2d's Feature Detection and Description and Descriptor Matchers. Retrieved information about lines is stored in line_descriptor::KeyLine objects.

Constructor & Destructor Documentation

◆ BinaryDescriptor()

cv::line_descriptor::BinaryDescriptor::BinaryDescriptor ( const BinaryDescriptor::Params & parameters = BinaryDescriptor::Params() )

Constructor.

Parameters

parameters configuration parameters BinaryDescriptor::Params

If no argument is provided, constructor sets default values (see comments in the code snippet in previous section). Default values are strongly recommended.

◆ ~BinaryDescriptor()

cv::line_descriptor::BinaryDescriptor::~BinaryDescriptor ( )

destructor

Member Function Documentation

◆ compute() [1/2]

void cv::line_descriptor::BinaryDescriptor::compute	(	const Mat &	image,
		std::vector< KeyLine > &	keylines,
		Mat &	descriptors,
		bool	returnFloatDescr = `false`
	)		const

Python:
	cv.line_descriptor_BinaryDescriptor.compute(	image, keylines[, descriptors[, returnFloatDescr]]	) ->	keylines, descriptors

Requires descriptors computation.

Parameters

image	input image
keylines	vector containing lines for which descriptors must be computed
descriptors
returnFloatDescr	flag (when set to true, original non-binary descriptors are returned)

◆ compute() [2/2]

void cv::line_descriptor::BinaryDescriptor::compute	(	const std::vector< Mat > &	images,
		std::vector< std::vector< KeyLine > > &	keylines,
		std::vector< Mat > &	descriptors,
		bool	returnFloatDescr = `false`
	)		const

Python:
	cv.line_descriptor_BinaryDescriptor.compute(	image, keylines[, descriptors[, returnFloatDescr]]	) ->	keylines, descriptors

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

images	input images
keylines	set of vectors containing lines for which descriptors must be computed
descriptors
returnFloatDescr	flag (when set to true, original non-binary descriptors are returned)

◆ computeImpl()

virtual void cv::line_descriptor::BinaryDescriptor::computeImpl	(	const Mat &	imageSrc,
		std::vector< KeyLine > &	keylines,
		Mat &	descriptors,
		bool	returnFloatDescr,
		bool	useDetectionData
	)		const

protectedvirtual

implementation of descriptors' computation

◆ createBinaryDescriptor() [1/2]

static Ptr<BinaryDescriptor> cv::line_descriptor::BinaryDescriptor::createBinaryDescriptor ( )

static

Python:
	cv.line_descriptor.BinaryDescriptor_createBinaryDescriptor(		) ->	retval

Create a BinaryDescriptor object with default parameters (or with the ones provided) and return a smart pointer to it.

◆ createBinaryDescriptor() [2/2]

static Ptr<BinaryDescriptor> cv::line_descriptor::BinaryDescriptor::createBinaryDescriptor ( Params parameters )

static

Python:
	cv.line_descriptor.BinaryDescriptor_createBinaryDescriptor(		) ->	retval

◆ defaultNorm()

int cv::line_descriptor::BinaryDescriptor::defaultNorm ( ) const

returns norm mode

◆ descriptorSize()

int cv::line_descriptor::BinaryDescriptor::descriptorSize ( ) const

Return descriptor size.

◆ descriptorType()

int cv::line_descriptor::BinaryDescriptor::descriptorType ( ) const

Return data type.

◆ detect() [1/2]

void cv::line_descriptor::BinaryDescriptor::detect	(	const Mat &	image,
		std::vector< KeyLine > &	keypoints,
		const Mat &	mask = `Mat()`
	)

Python:
	cv.line_descriptor_BinaryDescriptor.detect(	image[, mask]	) ->	keypoints

Requires line detection.

Parameters

image	input image
keypoints	vector that will store extracted lines for one or more images
mask	mask matrix to detect only KeyLines of interest

◆ detect() [2/2]

void cv::line_descriptor::BinaryDescriptor::detect	(	const std::vector< Mat > &	images,
		std::vector< std::vector< KeyLine > > &	keylines,
		const std::vector< Mat > &	masks = `std::vector< Mat >()`
	)		const

Python:
	cv.line_descriptor_BinaryDescriptor.detect(	image[, mask]	) ->	keypoints

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

images	input images
keylines	set of vectors that will store extracted lines for one or more images
masks	vector of mask matrices to detect only KeyLines of interest from each input image

◆ detectImpl()

virtual void cv::line_descriptor::BinaryDescriptor::detectImpl	(	const Mat &	imageSrc,
		std::vector< KeyLine > &	keylines,
		const Mat &	mask = `Mat()`
	)		const

protectedvirtual

implementation of line detection

◆ getNumOfOctaves()

int cv::line_descriptor::BinaryDescriptor::getNumOfOctaves ( )

Python:
	cv.line_descriptor_BinaryDescriptor.getNumOfOctaves(		) ->	retval

Get current number of octaves.

◆ getReductionRatio()

int cv::line_descriptor::BinaryDescriptor::getReductionRatio ( )

Python:
	cv.line_descriptor_BinaryDescriptor.getReductionRatio(		) ->	retval

Get current reduction ratio (used in Gaussian pyramids)

◆ getWidthOfBand()

int cv::line_descriptor::BinaryDescriptor::getWidthOfBand ( )

Python:
	cv.line_descriptor_BinaryDescriptor.getWidthOfBand(		) ->	retval

Get current width of bands.

◆ operator()()

virtual void cv::line_descriptor::BinaryDescriptor::operator()	(	InputArray	image,
		InputArray	mask,
		std::vector< KeyLine > &	keylines,
		OutputArray	descriptors,
		bool	useProvidedKeyLines = `false`,
		bool	returnFloatDescr = `false`
	)		const

virtual

Define operator '()' to perform detection of KeyLines and computation of descriptors in a row.

Parameters

image	input image
mask	mask matrix to select which lines in KeyLines must be accepted among the ones extracted (used when keylines is not empty)
keylines	vector that contains input lines (when filled, the detection part will be skipped and input lines will be passed as input to the algorithm computing descriptors)
descriptors	matrix that will store final descriptors
useProvidedKeyLines	flag (when set to true, detection phase will be skipped and only computation of descriptors will be executed, using lines provided in keylines)
returnFloatDescr	flag (when set to true, original non-binary descriptors are returned)

◆ read()

virtual void cv::line_descriptor::BinaryDescriptor::read ( const cv::FileNode & fn )

virtual

Read parameters from a FileNode object and store them.

Parameters

fn	source FileNode file

Reimplemented from cv::Algorithm.

◆ setNumOfOctaves()

void cv::line_descriptor::BinaryDescriptor::setNumOfOctaves ( int octaves )

Python:
	cv.line_descriptor_BinaryDescriptor.setNumOfOctaves(	octaves	) ->	None

Set number of octaves.

Parameters

octaves number of octaves

◆ setReductionRatio()

void cv::line_descriptor::BinaryDescriptor::setReductionRatio ( int rRatio )

Python:
	cv.line_descriptor_BinaryDescriptor.setReductionRatio(	rRatio	) ->	None

Set reduction ratio (used in Gaussian pyramids)

Parameters

rRatio reduction ratio

◆ setWidthOfBand()

void cv::line_descriptor::BinaryDescriptor::setWidthOfBand ( int width )

Python:
	cv.line_descriptor_BinaryDescriptor.setWidthOfBand(	width	) ->	None

Set width of bands.

Parameters

width width of bands

◆ write()

virtual void cv::line_descriptor::BinaryDescriptor::write ( cv::FileStorage & fs ) const

virtual

Store parameters to a FileStorage object.

Parameters

fs	output FileStorage file

Reimplemented from cv::Algorithm.

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

opencv2/line_descriptor/descriptor.hpp

Classes

Public Member Functions

Static Public Member Functions

Protected Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ BinaryDescriptor()

◆ ~BinaryDescriptor()

Member Function Documentation

◆ compute() [1/2]

◆ compute() [2/2]

◆ computeImpl()

◆ createBinaryDescriptor() [1/2]

◆ createBinaryDescriptor() [2/2]

◆ defaultNorm()

◆ descriptorSize()

◆ descriptorType()

◆ detect() [1/2]

◆ detect() [2/2]

◆ detectImpl()

◆ getNumOfOctaves()

◆ getReductionRatio()

◆ getWidthOfBand()

◆ operator()()

◆ read()

◆ setNumOfOctaves()

◆ setReductionRatio()

◆ setWidthOfBand()

◆ write()