OpenCV  3.0.0
Open Source Computer Vision
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cv::FastFeatureDetector Class Referenceabstract

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

#include "features2d.hpp"

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

Public Types

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

Public Member Functions

virtual bool getNonmaxSuppression () const =0
 
virtual int getThreshold () const =0
 
virtual int getType () const =0
 
virtual void setNonmaxSuppression (bool f)=0
 
virtual void setThreshold (int threshold)=0
 
virtual void setType (int 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
 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< FastFeatureDetectorcreate (int threshold=10, bool nonmaxSuppression=true, int 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...
 

Detailed Description

Wrapping class for feature detection using the FAST method. :

Member Enumeration Documentation

anonymous enum
Enumerator
TYPE_5_8 
TYPE_7_12 
TYPE_9_16 
THRESHOLD 
NONMAX_SUPPRESSION 
FAST_N 

Member Function Documentation

static Ptr<FastFeatureDetector> cv::FastFeatureDetector::create ( int  threshold = 10,
bool  nonmaxSuppression = true,
int  type = FastFeatureDetector::TYPE_9_16 
)
static
virtual bool cv::FastFeatureDetector::getNonmaxSuppression ( ) const
pure virtual
virtual int cv::FastFeatureDetector::getThreshold ( ) const
pure virtual
virtual int cv::FastFeatureDetector::getType ( ) const
pure virtual
virtual void cv::FastFeatureDetector::setNonmaxSuppression ( bool  f)
pure virtual
virtual void cv::FastFeatureDetector::setThreshold ( int  threshold)
pure virtual
virtual void cv::FastFeatureDetector::setType ( int  type)
pure virtual

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