Class cv::xfeatures2d::DAISY

Class implementing DAISY descriptor, described in [304]. View details

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::DAISY:

Public Types

enum NormalizationType {
    NRM_NONE = 100,
    NRM_PARTIAL = 101,
    NRM_FULL = 102,
    NRM_SIFT = 103
}

Public Member Functions

Public Member Functions inherited from cv::Feature2D

Return	Name	Description
	~Feature2D()
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).
void	compute(     InputArrayOfArrays images,     std::vector< std::vector< KeyPoint > > & keypoints,     OutputArrayOfArrays descriptors )
int	defaultNorm()
int	descriptorSize()
int	descriptorType()
void	detect(     InputArray image,     std::vector< KeyPoint > & keypoints,     InputArray mask = noArray() )	Detects keypoints in an image (first variant) or image set (second variant).
void	detect(     InputArrayOfArrays images,     std::vector< std::vector< KeyPoint > > & keypoints,     InputArrayOfArrays masks = noArray() )
void	detectAndCompute(     InputArray image,     InputArray mask,     std::vector< KeyPoint > & keypoints,     OutputArray descriptors,     bool useProvidedKeypoints = false )
bool	empty()	Return true if detector object is empty.
String	getDefaultName()
void	read(const FileNode & fn)	Reads algorithm parameters from a file storage.
void	read(const String & fileName)
void	write(const String & fileName)
void	write(FileStorage & fs)	Stores algorithm parameters in a file storage.
void	write(     FileStorage & fs,     const String & name )

Public Member Functions inherited from cv::Algorithm

Return	Name	Description
	Algorithm()
	~Algorithm()
void	clear()	Clears the algorithm state.
bool	empty()	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read.
String	getDefaultName()
void	read(const FileNode & fn)	Reads algorithm parameters from a file storage.
void	save(const String & filename)
void	write(     const Ptr< FileStorage > & fs,     const String & name = String() )
void	write(FileStorage & fs)	Stores algorithm parameters in a file storage.
void	write(     FileStorage & fs,     const String & name )

Static Public Member Functions

Static Public Member Functions inherited from cv::Algorithm

Return	Name	Description
static Ptr< _Tp >	load(     const String & filename,     const String & objname = String() )	Loads algorithm from the file.
static Ptr< _Tp >	loadFromString(     const String & strModel,     const String & objname = String() )	Loads algorithm from a String.
static Ptr< _Tp >	read(const FileNode & fn)	Reads algorithm from the file node.

Additional Inherited Members

Protected Member Functions inherited from cv::Algorithm

Return	Name	Description
void	writeFormat(FileStorage & fs)

Detailed Description

Class implementing DAISY descriptor, described in Tola10.

Param radius:

radius of the descriptor at the initial scale

Param q_radius:

amount of radial range division quantity

Param q_theta:

amount of angular range division quantity

Param q_hist:

amount of gradient orientations range division quantity

Param norm:

choose descriptors normalization type, where DAISY::NRM_NONE will not do any normalization (default), DAISY::NRM_PARTIAL mean that histograms are normalized independently for L2 norm equal to 1.0, DAISY::NRM_FULL mean that descriptors are normalized for L2 norm equal to 1.0, DAISY::NRM_SIFT mean that descriptors are normalized for L2 norm equal to 1.0 but no individual one is bigger than 0.154 as in SIFT

Param H:

optional 3x3 homography matrix used to warp the grid of daisy but sampling keypoints remains unwarped on image

Param interpolation:

switch to disable interpolation for speed improvement at minor quality loss

Param use_orientation:

sample patterns using keypoints orientation, disabled by default.

Member Enumeration Documentation

enum NormalizationType

NRM_NONE

NRM_PARTIAL

NRM_FULL

NRM_SIFT

Member Function Documentation

create()

static Ptr< DAISY > cv::xfeatures2d::DAISY::create(
float radius = 15,
int q_radius = 3,
int q_theta = 8,
int q_hist = 8,
DAISY::NormalizationType norm = DAISY::NRM_NONE,
InputArray H = noArray(),
bool interpolation = true,
bool use_orientation = false )

Here is the call graph for this function:

compute()

void cv::xfeatures2d::DAISY::compute(
InputArray image,
OutputArray descriptors )

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

Parameters

• image — image to extract descriptors

• descriptors — resulted descriptors array for all image pixels

compute()

void cv::xfeatures2d::DAISY::compute(
InputArray image,
Rect roi,
OutputArray descriptors )

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

Parameters

• image — image to extract descriptors

• roi — region of interest within image

• descriptors — resulted descriptors array for roi image pixels

compute()

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

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

Parameters

• image — image to extract descriptors

• keypoints — of interest within image

• descriptors — resulted descriptors array

compute()

void cv::xfeatures2d::DAISY::compute(
InputArrayOfArrays images,
std::vector< std::vector< KeyPoint > > & keypoints,
OutputArrayOfArrays 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 — Image set.

• keypoints — Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation).

• descriptors — Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint.

getDefaultName()

String cv::xfeatures2d::DAISY::getDefaultName()

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.

GetDescriptor()

void cv::xfeatures2d::DAISY::GetDescriptor(
double y,
double x,
int orientation,
float * descriptor )

Parameters

• y — position y on image

• x — position x on image

• orientation — orientation on image (0->360)

• descriptor — supplied array for descriptor storage

GetDescriptor()

bool cv::xfeatures2d::DAISY::GetDescriptor(
double y,
double x,
int orientation,
float * descriptor,
double * H )

Parameters

• y — position y on image

• x — position x on image

• orientation — orientation on image (0->360)

• descriptor — supplied array for descriptor storage

• H — homography matrix for warped grid

getH()

cv::Mat cv::xfeatures2d::DAISY::getH()

getInterpolation()

bool cv::xfeatures2d::DAISY::getInterpolation()

getNorm()

int cv::xfeatures2d::DAISY::getNorm()

getQHist()

int cv::xfeatures2d::DAISY::getQHist()

getQRadius()

int cv::xfeatures2d::DAISY::getQRadius()

getQTheta()

int cv::xfeatures2d::DAISY::getQTheta()

getRadius()

float cv::xfeatures2d::DAISY::getRadius()

GetUnnormalizedDescriptor()

void cv::xfeatures2d::DAISY::GetUnnormalizedDescriptor(
double y,
double x,
int orientation,
float * descriptor )

Parameters

• y — position y on image

• x — position x on image

• orientation — orientation on image (0->360)

• descriptor — supplied array for descriptor storage

GetUnnormalizedDescriptor()

bool cv::xfeatures2d::DAISY::GetUnnormalizedDescriptor(
double y,
double x,
int orientation,
float * descriptor,
double * H )

Parameters

• y — position y on image

• x — position x on image

• orientation — orientation on image (0->360)

• descriptor — supplied array for descriptor storage

• H — homography matrix for warped grid

getUseOrientation()

bool cv::xfeatures2d::DAISY::getUseOrientation()

setH()

void cv::xfeatures2d::DAISY::setH(InputArray H)

setInterpolation()

void cv::xfeatures2d::DAISY::setInterpolation(bool interpolation)

setNorm()

void cv::xfeatures2d::DAISY::setNorm(int norm)

setQHist()

void cv::xfeatures2d::DAISY::setQHist(int q_hist)

setQRadius()

void cv::xfeatures2d::DAISY::setQRadius(int q_radius)

setQTheta()

void cv::xfeatures2d::DAISY::setQTheta(int q_theta)

setRadius()

void cv::xfeatures2d::DAISY::setRadius(float radius)

setUseOrientation()

void cv::xfeatures2d::DAISY::setUseOrientation(bool use_orientation)

Source file

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

• opencv2/xfeatures2d.hpp