Class implementing the AKAZE keypoint detector and descriptor extractor, described in [ANB13].
More...
#include "features2d.hpp"
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virtual String | getDefaultName () const |
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virtual int | getDescriptorChannels () const =0 |
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virtual int | getDescriptorSize () const =0 |
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virtual int | getDescriptorType () const =0 |
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virtual int | getDiffusivity () const =0 |
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virtual int | getNOctaveLayers () const =0 |
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virtual int | getNOctaves () const =0 |
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virtual double | getThreshold () const =0 |
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virtual void | setDescriptorChannels (int dch)=0 |
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virtual void | setDescriptorSize (int dsize)=0 |
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virtual void | setDescriptorType (int dtype)=0 |
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virtual void | setDiffusivity (int diff)=0 |
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virtual void | setNOctaveLayers (int octaveLayers)=0 |
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virtual void | setNOctaves (int octaves)=0 |
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virtual void | setThreshold (double threshold)=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 void | save (const String &filename) const |
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Class implementing the AKAZE keypoint detector and descriptor extractor, described in [ANB13].
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.
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AKAZE implements T-API. When image is passed as UMat some parts of the algorithm will use OpenCL.
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[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.
◆ anonymous enum
Enumerator |
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DESCRIPTOR_KAZE_UPRIGHT | Upright descriptors, not invariant to rotation.
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DESCRIPTOR_KAZE | |
DESCRIPTOR_MLDB_UPRIGHT | Upright descriptors, not invariant to rotation.
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DESCRIPTOR_MLDB | |
◆ create()
static Ptr<AKAZE> cv::AKAZE::create |
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int |
descriptor_type = AKAZE::DESCRIPTOR_MLDB , |
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int |
descriptor_size = 0 , |
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int |
descriptor_channels = 3 , |
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float |
threshold = 0.001f , |
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int |
nOctaves = 4 , |
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int |
nOctaveLayers = 4 , |
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int |
diffusivity = KAZE::DIFF_PM_G2 |
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) |
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static |
The AKAZE constructor.
- Parameters
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descriptor_type | Type of the extracted descriptor: DESCRIPTOR_KAZE, DESCRIPTOR_KAZE_UPRIGHT, DESCRIPTOR_MLDB or DESCRIPTOR_MLDB_UPRIGHT. |
descriptor_size | Size of the descriptor in bits. 0 -> Full size |
descriptor_channels | Number of channels in the descriptor (1, 2, 3) |
threshold | Detector response threshold to accept point |
nOctaves | Maximum octave evolution of the image |
nOctaveLayers | Default number of sublevels per scale level |
diffusivity | Diffusivity type. DIFF_PM_G1, DIFF_PM_G2, DIFF_WEICKERT or DIFF_CHARBONNIER |
◆ getDefaultName()
virtual String cv::AKAZE::getDefaultName |
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const |
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virtual |
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.
◆ getDescriptorChannels()
virtual int cv::AKAZE::getDescriptorChannels |
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const |
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pure virtual |
◆ getDescriptorSize()
virtual int cv::AKAZE::getDescriptorSize |
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const |
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pure virtual |
◆ getDescriptorType()
virtual int cv::AKAZE::getDescriptorType |
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const |
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pure virtual |
◆ getDiffusivity()
virtual int cv::AKAZE::getDiffusivity |
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const |
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pure virtual |
◆ getNOctaveLayers()
virtual int cv::AKAZE::getNOctaveLayers |
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const |
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pure virtual |
◆ getNOctaves()
virtual int cv::AKAZE::getNOctaves |
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const |
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pure virtual |
◆ getThreshold()
virtual double cv::AKAZE::getThreshold |
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const |
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pure virtual |
◆ setDescriptorChannels()
virtual void cv::AKAZE::setDescriptorChannels |
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int |
dch | ) |
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pure virtual |
◆ setDescriptorSize()
virtual void cv::AKAZE::setDescriptorSize |
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int |
dsize | ) |
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pure virtual |
◆ setDescriptorType()
virtual void cv::AKAZE::setDescriptorType |
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int |
dtype | ) |
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pure virtual |
◆ setDiffusivity()
virtual void cv::AKAZE::setDiffusivity |
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int |
diff | ) |
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pure virtual |
◆ setNOctaveLayers()
virtual void cv::AKAZE::setNOctaveLayers |
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int |
octaveLayers | ) |
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pure virtual |
◆ setNOctaves()
virtual void cv::AKAZE::setNOctaves |
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int |
octaves | ) |
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pure virtual |
◆ setThreshold()
virtual void cv::AKAZE::setThreshold |
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double |
threshold | ) |
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pure virtual |
The documentation for this class was generated from the following file: