Class for extracting Speeded Up Robust Features from an image [8] . More...

#include "nonfree.hpp"

Inheritance diagram for cv::xfeatures2d::SURF:

Public Member Functions
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). 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
	Return true if detector object is empty. More...

Public Member Functions inherited from cv::Algorithm
	Algorithm ()

virtual	~Algorithm ()

virtual void	clear ()
	Clears the algorithm state. More...

virtual String	getDefaultName () const

virtual void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage. More...

virtual void	save (const String &filename) const

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage. More...

Static Public Member Functions
static Ptr< SURF >	create (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< _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...

Detailed Description

Class for extracting Speeded Up Robust Features from an image [8] .

The algorithm parameters:

member int extended
- 0 means that the basic descriptors (64 elements each) shall be computed
- 1 means that the extended descriptors (128 elements each) shall be computed
member int upright
- 0 means that detector computes orientation of each feature.
- 1 means that the orientation is not computed (which is much, much faster). For example, if you match images from a stereo pair, or do image stitching, the matched features likely have very similar angles, and you can speed up feature extraction by setting upright=1.
member double hessianThreshold Threshold for the keypoint detector. Only features, whose hessian is larger than hessianThreshold are retained by the detector. Therefore, the larger the value, the less keypoints you will get. A good default value could be from 300 to 500, depending from the image contrast.
member int nOctaves The number of a gaussian pyramid octaves that the detector uses. It is set to 4 by default. If you want to get very large features, use the larger value. If you want just small features, decrease it.
member int nOctaveLayers The number of images within each octave of a gaussian pyramid. It is set to 2 by default.
Note
- An example using the SURF feature detector can be found at opencv_source_code/samples/cpp/generic_descriptor_match.cpp
  - Another example using the SURF feature detector, extractor and matcher can be found at opencv_source_code/samples/cpp/matcher_simple.cpp

Member Function Documentation

static Ptr<SURF> cv::xfeatures2d::SURF::create	(	double	hessianThreshold = `100`,
		int	nOctaves = `4`,
		int	nOctaveLayers = `3`,
		bool	extended = `false`,
		bool	upright = `false`
	)

static

Parameters

hessianThreshold	Threshold for hessian keypoint detector used in SURF.
nOctaves	Number of pyramid octaves the keypoint detector will use.
nOctaveLayers	Number of octave layers within each octave.
extended	Extended descriptor flag (true - use extended 128-element descriptors; false - use 64-element descriptors).
upright	Up-right or rotated features flag (true - do not compute orientation of features; false - compute orientation).

virtual bool cv::xfeatures2d::SURF::getExtended ( ) const

pure virtual

virtual double cv::xfeatures2d::SURF::getHessianThreshold ( ) const

pure virtual

virtual int cv::xfeatures2d::SURF::getNOctaveLayers ( ) const

pure virtual

virtual int cv::xfeatures2d::SURF::getNOctaves ( ) const

pure virtual

virtual bool cv::xfeatures2d::SURF::getUpright ( ) const

pure virtual

virtual void cv::xfeatures2d::SURF::setExtended ( bool extended )

pure virtual

virtual void cv::xfeatures2d::SURF::setHessianThreshold ( double hessianThreshold )

pure virtual

virtual void cv::xfeatures2d::SURF::setNOctaveLayers ( int nOctaveLayers )

pure virtual

virtual void cv::xfeatures2d::SURF::setNOctaves ( int nOctaves )

pure virtual

virtual void cv::xfeatures2d::SURF::setUpright ( bool upright )

pure virtual

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

/Users/build/test/opencv_contrib/modules/xfeatures2d/include/opencv2/xfeatures2d/nonfree.hpp

Public Member Functions

Static Public Member Functions

Detailed Description

Member Function Documentation