Class cv::AffineFeature#

Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [349] .

#include <opencv2/features.hpp>

Collaboration diagram for cv::AffineFeature:

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 for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [349] .

Member Function Documentation#

create()#

static Ptr< AffineFeature > cv::AffineFeature::create(
const Ptr< Feature2D > & backend,
int maxTilt = 5,
int minTilt = 0,
float tiltStep = 1.4142135623730951f,
float rotateStepBase = 72 )

Python:

cv.AffineFeature.create(backend[, maxTilt[, minTilt[, tiltStep[, rotateStepBase]]]]) -> retval

cv.AffineFeature_create(backend[, maxTilt[, minTilt[, tiltStep[, rotateStepBase]]]]) -> retval

Parameters

backend — The detector/extractor you want to use as backend.
maxTilt — The highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
minTilt — The lowest power index of tilt factor. 0 is used in the paper.
tiltStep — Tilt sampling step \(\delta_t\) in Algorithm 1 in the paper.
rotateStepBase — Rotation sampling step factor b in Algorithm 1 in the paper.

getDefaultName()#

String cv::AffineFeature::getDefaultName()

Python:

cv.AffineFeature.getDefaultName() -> retval

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.

getViewParams()#

void cv::AffineFeature::getViewParams(
std::vector< float > & tilts,
std::vector< float > & rolls )

Python:

cv.AffineFeature.getViewParams(tilts, rolls)

setViewParams()#

void cv::AffineFeature::setViewParams(
const std::vector< float > & tilts,
const std::vector< float > & rolls )

Python:

cv.AffineFeature.setViewParams(tilts, rolls)

Source file#

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

opencv2/features.hpp