OpenCV 4.10.0-dev
Open Source Computer Vision
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cv::AffineFeature Class Referenceabstract

Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [312] . More...

#include <opencv2/features2d.hpp>

Collaboration diagram for cv::AffineFeature:

Public Member Functions

virtual String getDefaultName () const CV_OVERRIDE
 
virtual void getViewParams (std::vector< float > &tilts, std::vector< float > &rolls) const =0
 
virtual void setViewParams (const std::vector< float > &tilts, const std::vector< float > &rolls)=0
 
- Public Member Functions inherited from cv::Feature2D
virtual ~Feature2D ()
 
virtual 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).
 
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).
 
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 CV_OVERRIDE
 Return true if detector object is empty.
 
virtual void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage.
 
void read (const String &fileName)
 
void write (const Ptr< FileStorage > &fs, const String &name) const
 
void write (const String &fileName) const
 
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage.
 
void write (FileStorage &fs, const String &name) const
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state.
 
virtual void save (const String &filename) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 
void write (FileStorage &fs, const String &name) const
 

Static Public Member Functions

static Ptr< AffineFeaturecreate (const Ptr< Feature2D > &backend, int maxTilt=5, int minTilt=0, float tiltStep=1.4142135623730951f, float rotateStepBase=72)
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
 

Additional Inherited Members

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

Detailed Description

Class for implementing the wrapper which makes detectors and extractors to be affine invariant, described as ASIFT in [312] .

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 )
static
Python:
cv.AffineFeature.create(backend[, maxTilt[, minTilt[, tiltStep[, rotateStepBase]]]]) -> retval
cv.AffineFeature_create(backend[, maxTilt[, minTilt[, tiltStep[, rotateStepBase]]]]) -> retval
Parameters
backendThe detector/extractor you want to use as backend.
maxTiltThe highest power index of tilt factor. 5 is used in the paper as tilt sampling range n.
minTiltThe lowest power index of tilt factor. 0 is used in the paper.
tiltStepTilt sampling step \(\delta_t\) in Algorithm 1 in the paper.
rotateStepBaseRotation sampling step factor b in Algorithm 1 in the paper.

◆ getDefaultName()

virtual String cv::AffineFeature::getDefaultName ( ) const
virtual
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.

Reimplemented from cv::Feature2D.

◆ getViewParams()

virtual void cv::AffineFeature::getViewParams ( std::vector< float > & tilts,
std::vector< float > & rolls ) const
pure virtual
Python:
cv.AffineFeature.getViewParams(tilts, rolls) -> None

◆ setViewParams()

virtual void cv::AffineFeature::setViewParams ( const std::vector< float > & tilts,
const std::vector< float > & rolls )
pure virtual
Python:
cv.AffineFeature.setViewParams(tilts, rolls) -> None

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