OpenCV  4.10.0-pre
Open Source Computer Vision
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Public Member Functions | Static Public Member Functions | List of all members
cv::xfeatures2d::SURF Class Referenceabstract

Class for extracting Speeded Up Robust Features from an image [20] . More...

#include <opencv2/xfeatures2d/nonfree.hpp>

Collaboration diagram for cv::xfeatures2d::SURF:

Public Member Functions

String getDefaultName () const CV_OVERRIDE
 
virtual bool getExtended () const =0
 
virtual double getHessianThreshold () const =0
 
virtual int getNOctaveLayers () const =0
 
virtual int getNOctaves () const =0
 
virtual bool getUpright () const =0
 
virtual void setExtended (bool extended)=0
 
virtual void setHessianThreshold (double hessianThreshold)=0
 
virtual void setNOctaveLayers (int nOctaveLayers)=0
 
virtual void setNOctaves (int nOctaves)=0
 
virtual void setUpright (bool upright)=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< SURFcreate (double hessianThreshold=100, int nOctaves=4, int nOctaveLayers=3, bool extended=false, bool upright=false)
 
- 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 extracting Speeded Up Robust Features from an image [20] .

The algorithm parameters:

Member Function Documentation

◆ create()

static Ptr< SURF > cv::xfeatures2d::SURF::create ( double  hessianThreshold = 100,
int  nOctaves = 4,
int  nOctaveLayers = 3,
bool  extended = false,
bool  upright = false 
)
static
Python:
cv.xfeatures2d.SURF.create([, hessianThreshold[, nOctaves[, nOctaveLayers[, extended[, upright]]]]]) -> retval
cv.xfeatures2d.SURF_create([, hessianThreshold[, nOctaves[, nOctaveLayers[, extended[, upright]]]]]) -> retval
Parameters
hessianThresholdThreshold for hessian keypoint detector used in SURF.
nOctavesNumber of pyramid octaves the keypoint detector will use.
nOctaveLayersNumber of octave layers within each octave.
extendedExtended descriptor flag (true - use extended 128-element descriptors; false - use 64-element descriptors).
uprightUp-right or rotated features flag (true - do not compute orientation of features; false - compute orientation).

◆ getDefaultName()

String cv::xfeatures2d::SURF::getDefaultName ( ) const
virtual
Python:
cv.xfeatures2d.SURF.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.

◆ getExtended()

virtual bool cv::xfeatures2d::SURF::getExtended ( ) const
pure virtual
Python:
cv.xfeatures2d.SURF.getExtended() -> retval

◆ getHessianThreshold()

virtual double cv::xfeatures2d::SURF::getHessianThreshold ( ) const
pure virtual
Python:
cv.xfeatures2d.SURF.getHessianThreshold() -> retval

◆ getNOctaveLayers()

virtual int cv::xfeatures2d::SURF::getNOctaveLayers ( ) const
pure virtual
Python:
cv.xfeatures2d.SURF.getNOctaveLayers() -> retval

◆ getNOctaves()

virtual int cv::xfeatures2d::SURF::getNOctaves ( ) const
pure virtual
Python:
cv.xfeatures2d.SURF.getNOctaves() -> retval

◆ getUpright()

virtual bool cv::xfeatures2d::SURF::getUpright ( ) const
pure virtual
Python:
cv.xfeatures2d.SURF.getUpright() -> retval

◆ setExtended()

virtual void cv::xfeatures2d::SURF::setExtended ( bool  extended)
pure virtual
Python:
cv.xfeatures2d.SURF.setExtended(extended) -> None

◆ setHessianThreshold()

virtual void cv::xfeatures2d::SURF::setHessianThreshold ( double  hessianThreshold)
pure virtual
Python:
cv.xfeatures2d.SURF.setHessianThreshold(hessianThreshold) -> None

◆ setNOctaveLayers()

virtual void cv::xfeatures2d::SURF::setNOctaveLayers ( int  nOctaveLayers)
pure virtual
Python:
cv.xfeatures2d.SURF.setNOctaveLayers(nOctaveLayers) -> None

◆ setNOctaves()

virtual void cv::xfeatures2d::SURF::setNOctaves ( int  nOctaves)
pure virtual
Python:
cv.xfeatures2d.SURF.setNOctaves(nOctaves) -> None

◆ setUpright()

virtual void cv::xfeatures2d::SURF::setUpright ( bool  upright)
pure virtual
Python:
cv.xfeatures2d.SURF.setUpright(upright) -> None

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