|
virtual String | getDefaultName () const CV_OVERRIDE |
|
virtual int | getDescriptorChannels () const =0 |
|
virtual int | getDescriptorSize () const =0 |
|
virtual AKAZE::DescriptorType | getDescriptorType () const =0 |
|
virtual KAZE::DiffusivityType | getDiffusivity () const =0 |
|
virtual int | getNOctaveLayers () const =0 |
|
virtual int | getNOctaves () const =0 |
|
virtual double | getThreshold () const =0 |
|
virtual void | setDescriptorChannels (int dch)=0 |
|
virtual void | setDescriptorSize (int dsize)=0 |
|
virtual void | setDescriptorType (AKAZE::DescriptorType dtype)=0 |
|
virtual void | setDiffusivity (KAZE::DiffusivityType diff)=0 |
|
virtual void | setNOctaveLayers (int octaveLayers)=0 |
|
virtual void | setNOctaves (int octaves)=0 |
|
virtual void | setThreshold (double threshold)=0 |
|
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 (const Ptr< FileStorage > &fs, const String &name=String()) const |
|
| Algorithm () |
|
virtual | ~Algorithm () |
|
virtual void | clear () |
| Clears the algorithm state. More...
|
|
virtual void | save (const String &filename) const |
|
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
| simplified API for language bindings This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. More...
|
|
Class implementing the AKAZE keypoint detector and descriptor extractor, described in [5].
AKAZE descriptors can only be used with KAZE or AKAZE keypoints. This class is thread-safe.
- Note
- When you need descriptors use Feature2D::detectAndCompute, which provides better performance. When using Feature2D::detect followed by Feature2D::compute scale space pyramid is computed twice.
-
AKAZE implements T-API. When image is passed as UMat some parts of the algorithm will use OpenCL.
-
[ANB13] Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces. Pablo F. Alcantarilla, Jesús Nuevo and Adrien Bartoli. In British Machine Vision Conference (BMVC), Bristol, UK, September 2013.