OpenCV453
静的公開メンバ関数 | 静的公開変数類 | 全メンバ一覧

Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [AOV12] . [詳解]

#include <xfeatures2d.hpp>

cv::Feature2Dを継承しています。

静的公開メンバ関数

static CV_WRAP Ptr< FREAKcreate (bool orientationNormalized=true, bool scaleNormalized=true, float patternScale=22.0f, int nOctaves=4, const std::vector< int > &selectedPairs=std::vector< int >())
 
- 基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp > read (const FileNode &fn)
 Reads algorithm from the file node [詳解]
 
template<typename _Tp >
static Ptr< _Tp > load (const String &filename, const String &objname=String())
 Loads algorithm from the file [詳解]
 
template<typename _Tp >
static Ptr< _Tp > loadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String [詳解]
 

静的公開変数類

static const int NB_SCALES = 64
 
static const int NB_PAIRS = 512
 
static const int NB_ORIENPAIRS = 45
 

その他の継承メンバ

- 基底クラス cv::Feature2D に属する継承公開メンバ関数
virtual CV_WRAP void detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray())
 Detects keypoints in an image (first variant) or image set (second variant). [詳解]
 
virtual CV_WRAP void detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray())
 
virtual CV_WRAP void compute (InputArray image, CV_OUT CV_IN_OUT 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). [詳解]
 
virtual CV_WRAP void compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors)
 
virtual CV_WRAP void detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false)
 
virtual CV_WRAP int descriptorSize () const
 
virtual CV_WRAP int descriptorType () const
 
virtual CV_WRAP int defaultNorm () const
 
CV_WRAP void write (const String &fileName) const
 
CV_WRAP void read (const String &fileName)
 
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage [詳解]
 
virtual CV_WRAP void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage [詳解]
 
virtual CV_WRAP bool empty () const CV_OVERRIDE
 Return true if detector object is empty [詳解]
 
virtual CV_WRAP String getDefaultName () const CV_OVERRIDE
 
CV_WRAP void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 
- 基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void clear ()
 Clears the algorithm state [詳解]
 
CV_WRAP void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。
 
virtual CV_WRAP void save (const String &filename) const
 
- 基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void writeFormat (FileStorage &fs) const
 

詳解

Class implementing the FREAK (Fast Retina Keypoint) keypoint descriptor, described in [AOV12] .

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.

覚え書き
  • An example on how to use the FREAK descriptor can be found at opencv_source_code/samples/cpp/freak_demo.cpp

関数詳解

◆ create()

static CV_WRAP 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
引数
orientationNormalizedEnable orientation normalization.
scaleNormalizedEnable scale normalization.
patternScaleScaling of the description pattern.
nOctavesNumber of octaves covered by the detected keypoints.
selectedPairs(Optional) user defined selected pairs indexes,

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