Class cv::xfeatures2d::KAZE#

Class implementing the KAZE keypoint detector and descriptor extractor, described in [11] . View details

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::KAZE:

Public Types#

enum cv::xfeatures2d::KAZE {
    cv::xfeatures2d::DIFF_PM_G1 = 0,
    cv::xfeatures2d::DIFF_PM_G2 = 1,
    cv::xfeatures2d::DIFF_WEICKERT = 2,
    cv::xfeatures2d::DIFF_CHARBONNIER = 3
}

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#

Detailed Description#

Class implementing the KAZE keypoint detector and descriptor extractor, described in ABD12 .

Note

AKAZE descriptor can only be used with KAZE or AKAZE keypoints .. [ABD12] KAZE Features. Pablo F. Alcantarilla, Adrien Bartoli and Andrew J. Davison. In European Conference on Computer Vision (ECCV), Fiorenze, Italy, October 2012.

Member Typedef Documentation#

DiffusivityType#

typedef int cv::xfeatures2d::KAZE::DiffusivityType

Member Enumeration Documentation#

enum KAZE

DIFF_PM_G1

DIFF_PM_G2

DIFF_WEICKERT

DIFF_CHARBONNIER

Member Function Documentation#

create()#

static Ptr< KAZE > cv::xfeatures2d::KAZE::create(
bool extended = false,
bool upright = false,
float threshold = 0.001f,
int nOctaves = 4,
int nOctaveLayers = 4,
int diffusivity = KAZE::DIFF_PM_G2 )

The KAZE constructor.

Parameters

extended — Set to enable extraction of extended (128-byte) descriptor.
upright — Set to enable use of upright descriptors (non rotation-invariant).
threshold — Detector response threshold to accept point
nOctaves — Maximum octave evolution of the image
nOctaveLayers — Default number of sublevels per scale level
diffusivity — Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER

getDefaultName()#

String cv::xfeatures2d::KAZE::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.

getDiffusivity()#

int cv::xfeatures2d::KAZE::getDiffusivity()

getExtended()#

bool cv::xfeatures2d::KAZE::getExtended()

getNOctaveLayers()#

int cv::xfeatures2d::KAZE::getNOctaveLayers()

getNOctaves()#

int cv::xfeatures2d::KAZE::getNOctaves()

getThreshold()#

double cv::xfeatures2d::KAZE::getThreshold()

getUpright()#

bool cv::xfeatures2d::KAZE::getUpright()

setDiffusivity()#

void cv::xfeatures2d::KAZE::setDiffusivity(int diff)

setExtended()#

void cv::xfeatures2d::KAZE::setExtended(bool extended)

setNOctaveLayers()#

void cv::xfeatures2d::KAZE::setNOctaveLayers(int octaveLayers)

setNOctaves()#

void cv::xfeatures2d::KAZE::setNOctaves(int octaves)

setThreshold()#

void cv::xfeatures2d::KAZE::setThreshold(double threshold)

setUpright()#

void cv::xfeatures2d::KAZE::setUpright(bool upright)

Source file#

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

opencv2/xfeatures2d.hpp