Class implementing the KAZE keypoint detector and descriptor extractor, described in [ABD12] . More...
#include <features2d.hpp>
Public Types | |
enum | DiffusivityType { DIFF_PM_G1 = 0 , DIFF_PM_G2 = 1 , DIFF_WEICKERT = 2 , DIFF_CHARBONNIER = 3 } |
Public Member Functions | |
virtual CV_WRAP void | setExtended (bool extended)=0 |
virtual CV_WRAP bool | getExtended () const =0 |
virtual CV_WRAP void | setUpright (bool upright)=0 |
virtual CV_WRAP bool | getUpright () const =0 |
virtual CV_WRAP void | setThreshold (double threshold)=0 |
virtual CV_WRAP double | getThreshold () const =0 |
virtual CV_WRAP void | setNOctaves (int octaves)=0 |
virtual CV_WRAP int | getNOctaves () const =0 |
virtual CV_WRAP void | setNOctaveLayers (int octaveLayers)=0 |
virtual CV_WRAP int | getNOctaveLayers () const =0 |
virtual CV_WRAP void | setDiffusivity (KAZE::DiffusivityType diff)=0 |
virtual CV_WRAP KAZE::DiffusivityType | getDiffusivity () const =0 |
virtual CV_WRAP String | getDefaultName () const CV_OVERRIDE |
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virtual | ~Feature2D () |
virtual CV_WRAP void | detect (InputArray image, CV_OUT std::vector< KeyPoint > &keypoints, InputArray mask=noArray()) |
Detects keypoints in an image (first variant) or image set (second variant). | |
virtual CV_WRAP void | detect (InputArrayOfArrays images, CV_OUT std::vector< std::vector< KeyPoint > > &keypoints, InputArrayOfArrays masks=noArray()) |
virtual CV_WRAP void | compute (InputArray image, CV_OUT CV_IN_OUT 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). | |
virtual CV_WRAP void | compute (InputArrayOfArrays images, CV_OUT CV_IN_OUT std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) |
virtual CV_WRAP void | detectAndCompute (InputArray image, InputArray mask, CV_OUT std::vector< KeyPoint > &keypoints, OutputArray descriptors, bool useProvidedKeypoints=false) |
virtual CV_WRAP int | descriptorSize () const |
virtual CV_WRAP int | descriptorType () const |
virtual CV_WRAP int | defaultNorm () const |
CV_WRAP void | write (const String &fileName) const |
CV_WRAP void | read (const String &fileName) |
virtual void | write (FileStorage &) const CV_OVERRIDE |
Stores algorithm parameters in a file storage. | |
virtual CV_WRAP void | read (const FileNode &) CV_OVERRIDE |
Reads algorithm parameters from a file storage. | |
virtual CV_WRAP bool | empty () const CV_OVERRIDE |
Return true if detector object is empty. | |
CV_WRAP void | write (FileStorage &fs, const String &name) const |
void | write (const Ptr< FileStorage > &fs, const String &name) const |
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Algorithm () | |
virtual | ~Algorithm () |
virtual CV_WRAP void | clear () |
Clears the algorithm state. | |
CV_WRAP void | write (FileStorage &fs, const String &name) const |
void | write (const Ptr< FileStorage > &fs, const String &name=String()) const |
virtual CV_WRAP void | save (const String &filename) const |
Static Public Member Functions | |
static CV_WRAP Ptr< KAZE > | create (bool extended=false, bool upright=false, float threshold=0.001f, int nOctaves=4, int nOctaveLayers=4, KAZE::DiffusivityType diffusivity=KAZE::DIFF_PM_G2) |
The KAZE constructor. | |
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template<typename _Tp > | |
static Ptr< _Tp > | read (const FileNode &fn) |
Reads algorithm from the file node. | |
template<typename _Tp > | |
static Ptr< _Tp > | load (const String &filename, const String &objname=String()) |
Loads algorithm from the file. | |
template<typename _Tp > | |
static Ptr< _Tp > | loadFromString (const String &strModel, const String &objname=String()) |
Loads algorithm from a String. | |
Additional Inherited Members | |
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void | writeFormat (FileStorage &fs) const |
Class implementing the KAZE keypoint detector and descriptor extractor, described in [ABD12] .
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static |
The KAZE constructor.
extended | Set to enable extraction of extended (128-byte) descriptor. |
upright | Set to enable use of upright descriptors (non rotation-invariant). |
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 |
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.
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