| OpenCV 3.4.7 Open Source Computer Vision

Public Types | Static Public Member Functions | List of all members
cv::xfeatures2d::FREAK Class Reference
Extra 2D Features Framework » Experimental 2D Features Algorithms

Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [4] . More...

`#include <opencv2/xfeatures2d.hpp>`

Inheritance diagram for cv::xfeatures2d::FREAK:

## Public Types
enum | { NB_SCALES = 64, NB_PAIRS = 512, NB_ORIENPAIRS = 45 }

## Static Public Member Functions
static Ptr< FREAK > | create (bool orientationNormalized=true, bool scaleNormalized=true, float patternScale=22.0f, int nOctaves=4, const std::vector< int > &selectedPairs=std::vector< int >())
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
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...
Protected Member Functions inherited from cv::Algorithm
void | writeFormat (FileStorage &fs) const

## Detailed Description

Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [4] .

The algorithm propose a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Key- point (FREAK). A cascade of binary strings is computed by efficiently comparing image intensities over a retinal sampling pattern. FREAKs are in general faster to compute with lower memory load and also more robust than SIFT, SURF or BRISK. They are competitive alternatives to existing keypoints in particular for embedded applications.

Note
  - An example on how to use the FREAK descriptor can be found at opencv_source_code/samples/cpp/freak_demo.cpp

## Member Enumeration Documentation

## § anonymous enum

anonymous enum

Enumerator
NB_SCALES |
NB_PAIRS |
NB_ORIENPAIRS |

## Member Function Documentation

## § create()

static Ptr<FREAK> cv::xfeatures2d::FREAK::create | ( | bool | orientationNormalized = `true`,
|  | bool | scaleNormalized = `true`,
|  | float | patternScale = `22.0f`,
|  | int | nOctaves = `4`,
|  | const std::vector< int > & | selectedPairs = `std::vector< int >()`
| ) |  |
| static

Python:
| retval | = | cv.xfeatures2d.FREAK_create( | [, orientationNormalized[, scaleNormalized[, patternScale[, nOctaves[, selectedPairs]]]]] | )

Parameters

  orientationNormalized | Enable orientation normalization.
  scaleNormalized | Enable scale normalization.
  patternScale | Scaling of the description pattern.
  nOctaves | Number of octaves covered by the detected keypoints.
  selectedPairs | (Optional) user defined selected pairs indexes,

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

- opencv2/xfeatures2d.hpp