cv::FastFeatureDetector Class Reference

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

#include <opencv2/features.hpp>

Collaboration 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.
virtual void	read (const FileNode &) CV_OVERRIDE
	Reads algorithm parameters from a file storage.
void	read (const String &fileName)
void	write (const String &fileName) const
virtual void	write (FileStorage &) const CV_OVERRIDE
	Stores algorithm parameters in a file storage.
void	write (FileStorage &fs, const String &name) 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 (FileStorage &fs, const String &name) const

Static Public Member Functions
static Ptr< FastFeatureDetector >	create (int threshold=10, bool nonmaxSuppression=true, FastFeatureDetector::DetectorType type=FastFeatureDetector::TYPE_9_16)
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.
template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String.
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node.

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.

Check the corresponding tutorial for more details.

Member Enumeration Documentation

anonymous enum

anonymous enum

Enumerator
THRESHOLD
NONMAX_SUPPRESSION
FAST_N

DetectorType

enum cv::FastFeatureDetector::DetectorType

Enumerator
TYPE_5_8
TYPE_7_12
TYPE_9_16

Member Function Documentation

create()

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

static

Python:
	cv.FastFeatureDetector.create(	[, threshold[, nonmaxSuppression[, type]]]	) ->	retval
	cv.FastFeatureDetector_create(	[, threshold[, nonmaxSuppression[, type]]]	) ->	retval

getDefaultName()

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

virtual

Python:
	cv.FastFeatureDetector.getDefaultName(		) ->	retval

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.

getNonmaxSuppression()

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

pure virtual

Python:
	cv.FastFeatureDetector.getNonmaxSuppression(		) ->	retval

getThreshold()

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

pure virtual

Python:
	cv.FastFeatureDetector.getThreshold(		) ->	retval

getType()

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

pure virtual

Python:
	cv.FastFeatureDetector.getType(		) ->	retval

setNonmaxSuppression()

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

pure virtual

Python:
	cv.FastFeatureDetector.setNonmaxSuppression(	f	) ->	None

setThreshold()

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

pure virtual

Python:
	cv.FastFeatureDetector.setThreshold(	threshold	) ->	None

setType()

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

pure virtual

Python:
	cv.FastFeatureDetector.setType(	type	) ->	None

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

• opencv2/features.hpp