OpenCV  4.9.0-dev
Open Source Computer Vision
Public Types | Public Member Functions | Static Public Member Functions | List of all members
cv::FastFeatureDetector Class Referenceabstract

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

#include <opencv2/features2d.hpp>

Inheritance diagram for cv::FastFeatureDetector:
cv::Feature2D cv::Algorithm

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). 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...
 
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 (FileStorage &fs, const String &name) const
 
void write (const Ptr< FileStorage > &fs, const String &name) 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 (FileStorage &fs, const String &name) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 

Static Public Member Functions

static Ptr< FastFeatureDetectorcreate (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. 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

- 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

anonymous enum
Enumerator
THRESHOLD 
NONMAX_SUPPRESSION 
FAST_N 

◆ 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

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