OpenCV  3.3.0-dev
Open Source Computer Vision
Public Types | Public Member Functions | Static Public Member Functions | List of all members

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor. More...

#include "cudafeatures2d.hpp"

Inheritance diagram for cv::cuda::ORB:
cv::ORB cv::cuda::Feature2DAsync cv::Feature2D cv::Algorithm

Public Types

enum  {
  X_ROW = 0,
  Y_ROW,
  RESPONSE_ROW,
  ANGLE_ROW,
  OCTAVE_ROW,
  SIZE_ROW,
  ROWS_COUNT
}
 
- Public Types inherited from cv::ORB
enum  {
  kBytes = 32,
  HARRIS_SCORE =0,
  FAST_SCORE =1
}
 

Public Member Functions

virtual bool getBlurForDescriptor () const =0
 
virtual void setBlurForDescriptor (bool blurForDescriptor)=0
 if true, image will be blurred before descriptors calculation More...
 
- Public Member Functions inherited from cv::ORB
virtual String getDefaultName () const
 
virtual int getEdgeThreshold () const =0
 
virtual int getFastThreshold () const =0
 
virtual int getFirstLevel () const =0
 
virtual int getMaxFeatures () const =0
 
virtual int getNLevels () const =0
 
virtual int getPatchSize () const =0
 
virtual double getScaleFactor () const =0
 
virtual int getScoreType () const =0
 
virtual int getWTA_K () const =0
 
virtual void setEdgeThreshold (int edgeThreshold)=0
 
virtual void setFastThreshold (int fastThreshold)=0
 
virtual void setFirstLevel (int firstLevel)=0
 
virtual void setMaxFeatures (int maxFeatures)=0
 
virtual void setNLevels (int nlevels)=0
 
virtual void setPatchSize (int patchSize)=0
 
virtual void setScaleFactor (double scaleFactor)=0
 
virtual void setScoreType (int scoreType)=0
 
virtual void setWTA_K (int wta_k)=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...
 
void read (const String &fileName)
 
virtual void read (const FileNode &)
 Reads algorithm parameters from a file storage. More...
 
void write (const String &fileName) const
 
virtual void write (FileStorage &) const
 Stores algorithm parameters in a file storage. More...
 
- 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
 
- Public Member Functions inherited from cv::cuda::Feature2DAsync
virtual ~Feature2DAsync ()
 
virtual void computeAsync (InputArray image, OutputArray keypoints, OutputArray descriptors, Stream &stream=Stream::Null())
 Computes the descriptors for a set of keypoints detected in an image. More...
 
virtual void convert (InputArray gpu_keypoints, std::vector< KeyPoint > &keypoints)=0
 
virtual void detectAndComputeAsync (InputArray image, InputArray mask, OutputArray keypoints, OutputArray descriptors, bool useProvidedKeypoints=false, Stream &stream=Stream::Null())
 
virtual void detectAsync (InputArray image, OutputArray keypoints, InputArray mask=noArray(), Stream &stream=Stream::Null())
 Detects keypoints in an image. More...
 

Static Public Member Functions

static Ptr< ORBcreate (int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20, bool blurForDescriptor=false)
 
- Static Public Member Functions inherited from cv::ORB
static Ptr< ORBcreate (int nfeatures=500, float scaleFactor=1.2f, int nlevels=8, int edgeThreshold=31, int firstLevel=0, int WTA_K=2, int scoreType=ORB::HARRIS_SCORE, int patchSize=31, int fastThreshold=20)
 The ORB constructor. More...
 
- 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

Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor.

See also
cv::ORB

Member Enumeration Documentation

◆ anonymous enum

anonymous enum
Enumerator
X_ROW 
Y_ROW 
RESPONSE_ROW 
ANGLE_ROW 
OCTAVE_ROW 
SIZE_ROW 
ROWS_COUNT 

Member Function Documentation

◆ create()

static Ptr<ORB> cv::cuda::ORB::create ( int  nfeatures = 500,
float  scaleFactor = 1.2f,
int  nlevels = 8,
int  edgeThreshold = 31,
int  firstLevel = 0,
int  WTA_K = 2,
int  scoreType = ORB::HARRIS_SCORE,
int  patchSize = 31,
int  fastThreshold = 20,
bool  blurForDescriptor = false 
)
static

◆ getBlurForDescriptor()

virtual bool cv::cuda::ORB::getBlurForDescriptor ( ) const
pure virtual

◆ setBlurForDescriptor()

virtual void cv::cuda::ORB::setBlurForDescriptor ( bool  blurForDescriptor)
pure virtual

if true, image will be blurred before descriptors calculation


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