OpenCV  4.1.2-dev
Open Source Computer Vision
Public Member Functions | Static Public Member Functions | List of all members
cv::xfeatures2d::AffineFeature2D Class Referenceabstract

Class implementing affine adaptation for key points. More...

#include <opencv2/xfeatures2d.hpp>

Inheritance diagram for cv::xfeatures2d::AffineFeature2D:
cv::Feature2D cv::Algorithm

Public Member Functions

virtual void detect (InputArray image, std::vector< Elliptic_KeyPoint > &keypoints, InputArray mask=noArray())=0
 Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions. More...
 
virtual void detectAndCompute (InputArray image, InputArray mask, std::vector< Elliptic_KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)=0
 Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles. More...
 
- 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). More...
 
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). More...
 
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. More...
 
virtual String getDefaultName () const CV_OVERRIDE
 
void read (const String &fileName)
 
virtual void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage. More...
 
void write (const String &fileName) const
 
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage. More...
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state. More...
 
virtual void save (const String &filename) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
 

Static Public Member Functions

static Ptr< AffineFeature2Dcreate (Ptr< FeatureDetector > keypoint_detector, Ptr< DescriptorExtractor > descriptor_extractor)
 Creates an instance wrapping the given keypoint detector and descriptor extractor. More...
 
static Ptr< AffineFeature2Dcreate (Ptr< FeatureDetector > keypoint_detector)
 Creates an instance where keypoint detector and descriptor extractor are identical. More...
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file. More...
 
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String. More...
 
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node. More...
 

Additional Inherited Members

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

Detailed Description

Class implementing affine adaptation for key points.

A FeatureDetector and a DescriptorExtractor are wrapped to augment the detected points with their affine invariant elliptic region and to compute the feature descriptors on the regions after warping them into circles.

The interface is equivalent to Feature2D, adding operations for Elliptic_KeyPoints instead of KeyPoints.

Member Function Documentation

◆ create() [1/2]

static Ptr<AffineFeature2D> cv::xfeatures2d::AffineFeature2D::create ( Ptr< FeatureDetector keypoint_detector,
Ptr< DescriptorExtractor descriptor_extractor 
)
static

Creates an instance wrapping the given keypoint detector and descriptor extractor.

◆ create() [2/2]

static Ptr<AffineFeature2D> cv::xfeatures2d::AffineFeature2D::create ( Ptr< FeatureDetector keypoint_detector)
inlinestatic

Creates an instance where keypoint detector and descriptor extractor are identical.

◆ detect()

virtual void cv::xfeatures2d::AffineFeature2D::detect ( InputArray  image,
std::vector< Elliptic_KeyPoint > &  keypoints,
InputArray  mask = noArray() 
)
pure virtual

Detects keypoints in the image using the wrapped detector and performs affine adaptation to augment them with their elliptic regions.

◆ detectAndCompute()

virtual void cv::xfeatures2d::AffineFeature2D::detectAndCompute ( InputArray  image,
InputArray  mask,
std::vector< Elliptic_KeyPoint > &  keypoints,
OutputArray  descriptors,
bool  useProvidedKeypoints = false 
)
pure virtual

Detects keypoints and computes descriptors for their surrounding regions, after warping them into circles.


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