OpenCV  4.10.0-dev
Open Source Computer Vision
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Public Member Functions | Static Public Member Functions | List of all members
cv::xfeatures2d::LUCID Class Referenceabstract

Class implementing the locally uniform comparison image descriptor, described in [321]. More...

#include <opencv2/xfeatures2d.hpp>

Collaboration diagram for cv::xfeatures2d::LUCID:

Public Member Functions

virtual int getBlurKernel () const =0
 
String getDefaultName () const CV_OVERRIDE
 
virtual int getLucidKernel () const =0
 
virtual void setBlurKernel (int blur_kernel)=0
 
virtual void setLucidKernel (int lucid_kernel)=0
 
- Public Member Functions inherited from cv::Feature2D
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).
 
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).
 
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.
 
virtual void read (const FileNode &) CV_OVERRIDE
 Reads algorithm parameters from a file storage.
 
void read (const String &fileName)
 
void write (const Ptr< FileStorage > &fs, const String &name) const
 
void write (const String &fileName) const
 
virtual void write (FileStorage &) const CV_OVERRIDE
 Stores algorithm parameters in a file storage.
 
void write (FileStorage &fs, const String &name) const
 
- Public Member Functions inherited from cv::Algorithm
 Algorithm ()
 
virtual ~Algorithm ()
 
virtual void clear ()
 Clears the algorithm state.
 
virtual void save (const String &filename) const
 
void write (const Ptr< FileStorage > &fs, const String &name=String()) const
 
void write (FileStorage &fs, const String &name) const
 

Static Public Member Functions

static Ptr< LUCIDcreate (const int lucid_kernel=1, const int blur_kernel=2)
 
- Static Public Member Functions inherited from cv::Algorithm
template<typename _Tp >
static Ptr< _Tpload (const String &filename, const String &objname=String())
 Loads algorithm from the file.
 
template<typename _Tp >
static Ptr< _TploadFromString (const String &strModel, const String &objname=String())
 Loads algorithm from a String.
 
template<typename _Tp >
static Ptr< _Tpread (const FileNode &fn)
 Reads algorithm from the file node.
 

Additional Inherited Members

- Protected Member Functions inherited from cv::Algorithm
void writeFormat (FileStorage &fs) const
 

Detailed Description

Class implementing the locally uniform comparison image descriptor, described in [321].

An image descriptor that can be computed very fast, while being about as robust as, for example, SURF or BRIEF.

Note
It requires a color image as input.

Member Function Documentation

◆ create()

static Ptr< LUCID > cv::xfeatures2d::LUCID::create ( const int  lucid_kernel = 1,
const int  blur_kernel = 2 
)
static
Python:
cv.xfeatures2d.LUCID.create([, lucid_kernel[, blur_kernel]]) -> retval
cv.xfeatures2d.LUCID_create([, lucid_kernel[, blur_kernel]]) -> retval
Parameters
lucid_kernelkernel for descriptor construction, where 1=3x3, 2=5x5, 3=7x7 and so forth
blur_kernelkernel for blurring image prior to descriptor construction, where 1=3x3, 2=5x5, 3=7x7 and so forth

◆ getBlurKernel()

virtual int cv::xfeatures2d::LUCID::getBlurKernel ( ) const
pure virtual
Python:
cv.xfeatures2d.LUCID.getBlurKernel() -> retval

◆ getDefaultName()

String cv::xfeatures2d::LUCID::getDefaultName ( ) const
virtual
Python:
cv.xfeatures2d.LUCID.getDefaultName() -> retval

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.

◆ getLucidKernel()

virtual int cv::xfeatures2d::LUCID::getLucidKernel ( ) const
pure virtual
Python:
cv.xfeatures2d.LUCID.getLucidKernel() -> retval

◆ setBlurKernel()

virtual void cv::xfeatures2d::LUCID::setBlurKernel ( int  blur_kernel)
pure virtual
Python:
cv.xfeatures2d.LUCID.setBlurKernel(blur_kernel) -> None

◆ setLucidKernel()

virtual void cv::xfeatures2d::LUCID::setLucidKernel ( int  lucid_kernel)
pure virtual
Python:
cv.xfeatures2d.LUCID.setLucidKernel(lucid_kernel) -> None

The documentation for this class was generated from the following file: