OpenCV
4.0.0
Open Source Computer Vision
|
Class implementing DAISY descriptor, described in [193]. More...
#include "xfeatures2d.hpp"
Public Types | |
enum | NormalizationType { NRM_NONE = 100, NRM_PARTIAL = 101, NRM_FULL = 102, NRM_SIFT = 103 } |
Public Member Functions | |
virtual void | compute (InputArray image, std::vector< KeyPoint > &keypoints, OutputArray descriptors) CV_OVERRIDE=0 |
virtual void | compute (InputArrayOfArrays images, std::vector< std::vector< KeyPoint > > &keypoints, OutputArrayOfArrays descriptors) CV_OVERRIDE |
virtual void | compute (InputArray image, Rect roi, OutputArray descriptors)=0 |
virtual void | compute (InputArray image, OutputArray descriptors)=0 |
virtual void | GetDescriptor (double y, double x, int orientation, float *descriptor) const =0 |
virtual bool | GetDescriptor (double y, double x, int orientation, float *descriptor, double *H) const =0 |
virtual void | GetUnnormalizedDescriptor (double y, double x, int orientation, float *descriptor) const =0 |
virtual bool | GetUnnormalizedDescriptor (double y, double x, int orientation, float *descriptor, double *H) const =0 |
Public Member Functions inherited from cv::Feature2D | |
virtual | ~Feature2D () |
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... | |
virtual String | getDefaultName () const CV_OVERRIDE |
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 |
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 |
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... | |
Static Public Member Functions | |
static Ptr< DAISY > | create (float radius=15, int q_radius=3, int q_theta=8, int q_hist=8, DAISY::NormalizationType norm=DAISY::NRM_NONE, InputArray H=noArray(), bool interpolation=true, bool use_orientation=false) |
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 |
Class implementing DAISY descriptor, described in [193].
radius | radius of the descriptor at the initial scale |
q_radius | amount of radial range division quantity |
q_theta | amount of angular range division quantity |
q_hist | amount of gradient orientations range division quantity |
norm | choose descriptors normalization type, where DAISY::NRM_NONE will not do any normalization (default), DAISY::NRM_PARTIAL mean that histograms are normalized independently for L2 norm equal to 1.0, DAISY::NRM_FULL mean that descriptors are normalized for L2 norm equal to 1.0, DAISY::NRM_SIFT mean that descriptors are normalized for L2 norm equal to 1.0 but no individual one is bigger than 0.154 as in SIFT |
H | optional 3x3 homography matrix used to warp the grid of daisy but sampling keypoints remains unwarped on image |
interpolation | switch to disable interpolation for speed improvement at minor quality loss |
use_orientation | sample patterns using keypoints orientation, disabled by default. |
|
pure virtual |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
image | image to extract descriptors |
keypoints | of interest within image |
descriptors | resulted descriptors array |
Reimplemented from cv::Feature2D.
|
virtual |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
images | Image set. |
keypoints | Input collection of keypoints. Keypoints for which a descriptor cannot be computed are removed. Sometimes new keypoints can be added, for example: SIFT duplicates keypoint with several dominant orientations (for each orientation). |
descriptors | Computed descriptors. In the second variant of the method descriptors[i] are descriptors computed for a keypoints[i]. Row j is the keypoints (or keypoints[i]) is the descriptor for keypoint j-th keypoint. |
Reimplemented from cv::Feature2D.
|
pure virtual |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
image | image to extract descriptors |
roi | region of interest within image |
descriptors | resulted descriptors array for roi image pixels |
|
pure virtual |
This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
image | image to extract descriptors |
descriptors | resulted descriptors array for all image pixels |
|
static |
Python: | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
retval | = | cv.xfeatures2d.DAISY_create( | [, radius[, q_radius[, q_theta[, q_hist[, norm[, H[, interpolation[, use_orientation]]]]]]]] | ) |
|
pure virtual |
y | position y on image |
x | position x on image |
orientation | orientation on image (0->360) |
descriptor | supplied array for descriptor storage |
|
pure virtual |
y | position y on image |
x | position x on image |
orientation | orientation on image (0->360) |
descriptor | supplied array for descriptor storage |
H | homography matrix for warped grid |
|
pure virtual |
y | position y on image |
x | position x on image |
orientation | orientation on image (0->360) |
descriptor | supplied array for descriptor storage |
|
pure virtual |
y | position y on image |
x | position x on image |
orientation | orientation on image (0->360) |
descriptor | supplied array for descriptor storage |
H | homography matrix for warped grid |