cv::FastFeatureDetector Class Reference

Wrapping class for feature detection using the FAST method. : More...

#include <opencv2/features2d.hpp>

Inheritance diagram for cv::FastFeatureDetector:

Public Types
enum	{   THRESHOLD = 10000,   NONMAX_SUPPRESSION =10001,   FAST_N =10002 }
enum	DetectorType {   TYPE_5_8 = 0,   TYPE_7_12 = 1,   TYPE_9_16 = 2 }

Public Member Functions
virtual String	getDefaultName () const CV_OVERRIDE
virtual bool	getNonmaxSuppression () const =0
virtual int	getThreshold () const =0
virtual FastFeatureDetector::DetectorType	getType () const =0
virtual void	setNonmaxSuppression (bool f)=0
virtual void	setThreshold (int threshold)=0
virtual void	setType (FastFeatureDetector::DetectorType type)=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.
void	read (const String &fileName)
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.
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.
virtual void	save (const String &filename) const
void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindingsThis is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Static Public Member Functions
static Ptr< FastFeatureDetector >	create (int threshold=10, bool nonmaxSuppression=true, FastFeatureDetector::DetectorType type=FastFeatureDetector::TYPE_9_16)

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

Detailed Description

Wrapping class for feature detection using the FAST method. :

Member Enumeration Documentation

anonymous enum

Enumerator
THRESHOLD
NONMAX_SUPPRESSION
FAST_N

enum cv::FastFeatureDetector::DetectorType

Enumerator
TYPE_5_8
TYPE_7_12
TYPE_9_16

Member Function Documentation

static Ptr<FastFeatureDetector> cv::FastFeatureDetector::create ( int  threshold = 10, bool  nonmaxSuppression = true, FastFeatureDetector::DetectorType  type = FastFeatureDetector::TYPE_9_16  )

static

Python:
	retval	=	cv.FastFeatureDetector_create(	[, threshold[, nonmaxSuppression[, type]]]	)

virtual String cv::FastFeatureDetector::getDefaultName ( ) const

virtual

Python:
	retval	=	cv.FastFeatureDetector.getDefaultName(		)

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.

virtual bool cv::FastFeatureDetector::getNonmaxSuppression ( ) const

pure virtual

Python:
	retval	=	cv.FastFeatureDetector.getNonmaxSuppression(		)

virtual int cv::FastFeatureDetector::getThreshold ( ) const

pure virtual

Python:
	retval	=	cv.FastFeatureDetector.getThreshold(		)

virtual FastFeatureDetector::DetectorType cv::FastFeatureDetector::getType ( ) const

pure virtual

Python:
	retval	=	cv.FastFeatureDetector.getType(		)

virtual void cv::FastFeatureDetector::setNonmaxSuppression ( bool  f )

pure virtual

Python:
	None	=	cv.FastFeatureDetector.setNonmaxSuppression(	f	)

virtual void cv::FastFeatureDetector::setThreshold ( int  threshold )

pure virtual

Python:
	None	=	cv.FastFeatureDetector.setThreshold(	threshold	)

virtual void cv::FastFeatureDetector::setType ( FastFeatureDetector::DetectorType  type )

pure virtual

Python:
	None	=	cv.FastFeatureDetector.setType(	type	)

---

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

• features2d.hpp