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virtual int | getEdgeThreshold () const =0 |
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virtual int | getFastThreshold () const =0 |
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virtual int | getFirstLevel () const =0 |
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virtual int | getMaxFeatures () const =0 |
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virtual int | getNLevels () const =0 |
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virtual int | getPatchSize () const =0 |
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virtual double | getScaleFactor () const =0 |
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virtual int | getScoreType () const =0 |
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virtual int | getWTA_K () const =0 |
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virtual void | setEdgeThreshold (int edgeThreshold)=0 |
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virtual void | setFastThreshold (int fastThreshold)=0 |
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virtual void | setFirstLevel (int firstLevel)=0 |
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virtual void | setMaxFeatures (int maxFeatures)=0 |
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virtual void | setNLevels (int nlevels)=0 |
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virtual void | setPatchSize (int patchSize)=0 |
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virtual void | setScaleFactor (double scaleFactor)=0 |
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virtual void | setScoreType (int scoreType)=0 |
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virtual void | setWTA_K (int wta_k)=0 |
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virtual | ~Feature2D () |
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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...
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virtual void | compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
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virtual int | defaultNorm () const |
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virtual int | descriptorSize () const |
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virtual int | descriptorType () const |
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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...
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virtual void | detect (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
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virtual void | detectAndCompute (InputArray image, InputArray mask, std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
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virtual bool | empty () const |
| Return true if detector object is empty. More...
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void | read (const String &fileName) |
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virtual void | read (const FileNode &) |
| Reads algorithm parameters from a file storage. More...
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void | write (const String &fileName) const |
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virtual void | write (FileStorage &) const |
| Stores algorithm parameters in a file storage. More...
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| Algorithm () |
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virtual | ~Algorithm () |
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virtual void | clear () |
| Clears the algorithm state. More...
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virtual String | getDefaultName () const |
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virtual void | save (const String &filename) const |
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static Ptr< 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) |
| The ORB constructor. More...
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template<typename _Tp > |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
| Loads algorithm from the file. More...
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template<typename _Tp > |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
| Loads algorithm from a String. More...
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template<typename _Tp > |
static Ptr< _Tp > | read (const FileNode &fn) |
| Reads algorithm from the file node. More...
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Class implementing the ORB (oriented BRIEF) keypoint detector and descriptor extractor.
described in [134] . The algorithm uses FAST in pyramids to detect stable keypoints, selects the strongest features using FAST or Harris response, finds their orientation using first-order moments and computes the descriptors using BRIEF (where the coordinates of random point pairs (or k-tuples) are rotated according to the measured orientation).