| OpenCV 3.4.8 Open Source Computer Vision

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cv::DescriptorMatcher Class Referenceabstract
2D Features Framework » Descriptor Matchers

Abstract base class for matching keypoint descriptors. More...

`#include <opencv2/features2d.hpp>`

Inheritance diagram for cv::DescriptorMatcher:

## Classes
class | DescriptorCollection

## Public Types
enum | { FLANNBASED = 1, BRUTEFORCE = 2, BRUTEFORCE_L1 = 3, BRUTEFORCE_HAMMING = 4, BRUTEFORCE_HAMMINGLUT = 5, BRUTEFORCE_SL2 = 6 }

## Public Member Functions
virtual | ~DescriptorMatcher ()
virtual void | add (InputArrayOfArrays descriptors)
| Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection. More...
virtual void | clear () CV_OVERRIDE
| Clears the train descriptor collections. More...
virtual Ptr< DescriptorMatcher > | clone (bool emptyTrainData=false) const =0
| Clones the matcher. More...
virtual bool | empty () const CV_OVERRIDE
| Returns true if there are no train descriptors in the both collections. More...
const std::vector< Mat > & | getTrainDescriptors () const
| Returns a constant link to the train descriptor collection trainDescCollection . More...
virtual bool | isMaskSupported () const =0
| Returns true if the descriptor matcher supports masking permissible matches. More...
void | knnMatch (InputArray queryDescriptors, InputArray trainDescriptors, std::vector< std::vector< DMatch > > &matches, int k, InputArray mask=noArray(), bool compactResult=false) const
| Finds the k best matches for each descriptor from a query set. More...
void | knnMatch (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, int k, InputArrayOfArrays masks=noArray(), bool compactResult=false)
void | match (InputArray queryDescriptors, InputArray trainDescriptors, std::vector< DMatch > &matches, InputArray mask=noArray()) const
| Finds the best match for each descriptor from a query set. More...
void | match (InputArray queryDescriptors, std::vector< DMatch > &matches, InputArrayOfArrays masks=noArray())
void | radiusMatch (InputArray queryDescriptors, InputArray trainDescriptors, std::vector< std::vector< DMatch > > &matches, float maxDistance, InputArray mask=noArray(), bool compactResult=false) const
| For each query descriptor, finds the training descriptors not farther than the specified distance. More...
void | radiusMatch (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, float maxDistance, InputArrayOfArrays masks=noArray(), bool compactResult=false)
void | read (const String &fileName)
virtual void | read (const FileNode &) CV_OVERRIDE
| Reads algorithm parameters from a file storage. More...
virtual void | train ()
| Trains a descriptor matcher. 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 String | getDefaultName () const
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< DescriptorMatcher > | create (const String &descriptorMatcherType)
| Creates a descriptor matcher of a given type with the default parameters (using default constructor). More...
static Ptr< DescriptorMatcher > | create (int matcherType)
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...

## Protected Member Functions
void | checkMasks (InputArrayOfArrays masks, int queryDescriptorsCount) const
virtual void | knnMatchImpl (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, int k, InputArrayOfArrays masks=noArray(), bool compactResult=false)=0
virtual void | radiusMatchImpl (InputArray queryDescriptors, std::vector< std::vector< DMatch > > &matches, float maxDistance, InputArrayOfArrays masks=noArray(), bool compactResult=false)=0
Protected Member Functions inherited from cv::Algorithm
void | writeFormat (FileStorage &fs) const

## Static Protected Member Functions
static Mat | clone_op (Mat m)
static bool | isMaskedOut (InputArrayOfArrays masks, int queryIdx)
static bool | isPossibleMatch (InputArray mask, int queryIdx, int trainIdx)

## Protected Attributes
std::vector< Mat > | trainDescCollection
| Collection of descriptors from train images. More...
std::vector< UMat > | utrainDescCollection

## Detailed Description

Abstract base class for matching keypoint descriptors.

It has two groups of match methods: for matching descriptors of an image with another image or with an image set.

## Member Enumeration Documentation

## § anonymous enum

anonymous enum

Enumerator
FLANNBASED |
BRUTEFORCE |
BRUTEFORCE_L1 |
BRUTEFORCE_HAMMING |
BRUTEFORCE_HAMMINGLUT |
BRUTEFORCE_SL2 |

## Constructor & Destructor Documentation

## § ~DescriptorMatcher()

virtual cv::DescriptorMatcher::~DescriptorMatcher | ( |  | ) |
| virtual

## Member Function Documentation

## § add()

virtual void cv::DescriptorMatcher::add | ( | InputArrayOfArrays | descriptors | ) |
| virtual

Python:
| None | = | cv.DescriptorMatcher.add( | descriptors | )

Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection.

If the collection is not empty, the new descriptors are added to existing train descriptors.

Parameters

  descriptors | Descriptors to add. Each descriptors[i] is a set of descriptors from the same train image.

Reimplemented in cv::FlannBasedMatcher.

## § checkMasks()

void cv::DescriptorMatcher::checkMasks | ( | InputArrayOfArrays | masks,
|  | int | queryDescriptorsCount
| ) |  | const
| protected

## § clear()

virtual void cv::DescriptorMatcher::clear | ( |  | ) |
| virtual

Python:
| None | = | cv.DescriptorMatcher.clear( |  | )

Clears the train descriptor collections.

Reimplemented from cv::Algorithm.

Reimplemented in cv::FlannBasedMatcher.

## § clone()

virtual Ptr<DescriptorMatcher> cv::DescriptorMatcher::clone | ( | bool | emptyTrainData = `false` | ) | const
| pure virtual

Python:
| retval | = | cv.DescriptorMatcher.clone( | [, emptyTrainData] | )

Clones the matcher.

Parameters

  emptyTrainData | If emptyTrainData is false, the method creates a deep copy of the object, that is, copies both parameters and train data. If emptyTrainData is true, the method creates an object copy with the current parameters but with empty train data.

Implemented in cv::FlannBasedMatcher, and cv::BFMatcher.

## § clone_op()

static Mat cv::DescriptorMatcher::clone_op | ( | Mat | m | ) |
| inline static protected

## § create() [1/2]

static Ptr<DescriptorMatcher> cv::DescriptorMatcher::create | ( | const String & | descriptorMatcherType | ) |
| static

Python:
| retval | = | cv.DescriptorMatcher_create( | descriptorMatcherType | )
| retval | = | cv.DescriptorMatcher_create( | matcherType | )

Creates a descriptor matcher of a given type with the default parameters (using default constructor).

Parameters

  descriptorMatcherType | Descriptor matcher type. Now the following matcher types are supported: `BruteForce` (it uses L2 ) `BruteForce-L1` `BruteForce-Hamming` `BruteForce-Hamming(2)` `FlannBased`

## § create() [2/2]

static Ptr<DescriptorMatcher> cv::DescriptorMatcher::create | ( | int | matcherType | ) |
| static

Python:
| retval | = | cv.DescriptorMatcher_create( | descriptorMatcherType | )
| retval | = | cv.DescriptorMatcher_create( | matcherType | )

## § empty()

virtual bool cv::DescriptorMatcher::empty | ( |  | ) | const
| virtual

Python:
| retval | = | cv.DescriptorMatcher.empty( |  | )

Returns true if there are no train descriptors in the both collections.

Reimplemented from cv::Algorithm.

## § getTrainDescriptors()

const std::vector<Mat>& cv::DescriptorMatcher::getTrainDescriptors | ( |  | ) | const

Python:
| retval | = | cv.DescriptorMatcher.getTrainDescriptors( |  | )

Returns a constant link to the train descriptor collection trainDescCollection .

## § isMaskedOut()

static bool cv::DescriptorMatcher::isMaskedOut | ( | InputArrayOfArrays | masks,
|  | int | queryIdx
| ) |  |
| static protected

## § isMaskSupported()

virtual bool cv::DescriptorMatcher::isMaskSupported | ( |  | ) | const
| pure virtual

Python:
| retval | = | cv.DescriptorMatcher.isMaskSupported( |  | )

Returns true if the descriptor matcher supports masking permissible matches.

Implemented in cv::FlannBasedMatcher, and cv::BFMatcher.

## § isPossibleMatch()

static bool cv::DescriptorMatcher::isPossibleMatch | ( | InputArray | mask,
|  | int | queryIdx,
|  | int | trainIdx
| ) |  |
| static protected

## § knnMatch() [1/2]

void cv::DescriptorMatcher::knnMatch | ( | InputArray | queryDescriptors,
|  | InputArray | trainDescriptors,
|  | std::vector< std::vector< DMatch > > & | matches,
|  | int | k,
|  | InputArray | mask = `noArray()`,
|  | bool | compactResult = `false`
| ) |  | const

Python:
| matches | = | cv.DescriptorMatcher.knnMatch( | queryDescriptors, trainDescriptors, k[, mask[, compactResult]] | )
| matches | = | cv.DescriptorMatcher.knnMatch( | queryDescriptors, k[, masks[, compactResult]] | )

Finds the k best matches for each descriptor from a query set.

Parameters

  queryDescriptors | Query set of descriptors.
  trainDescriptors | Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
  mask | Mask specifying permissible matches between an input query and train matrices of descriptors.
  matches | Matches. Each matches[i] is k or less matches for the same query descriptor.
  k | Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
  compactResult | Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

These extended variants of DescriptorMatcher::match methods find several best matches for each query descriptor. The matches are returned in the distance increasing order. See DescriptorMatcher::match for the details about query and train descriptors.

## § knnMatch() [2/2]

void cv::DescriptorMatcher::knnMatch | ( | InputArray | queryDescriptors,
|  | std::vector< std::vector< DMatch > > & | matches,
|  | int | k,
|  | InputArrayOfArrays | masks = `noArray()`,
|  | bool | compactResult = `false`
| ) |  |

Python:
| matches | = | cv.DescriptorMatcher.knnMatch( | queryDescriptors, trainDescriptors, k[, mask[, compactResult]] | )
| matches | = | cv.DescriptorMatcher.knnMatch( | queryDescriptors, k[, masks[, compactResult]] | )

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  queryDescriptors | Query set of descriptors.
  matches | Matches. Each matches[i] is k or less matches for the same query descriptor.
  k | Count of best matches found per each query descriptor or less if a query descriptor has less than k possible matches in total.
  masks | Set of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
  compactResult | Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

## § knnMatchImpl()

virtual void cv::DescriptorMatcher::knnMatchImpl | ( | InputArray | queryDescriptors,
|  | std::vector< std::vector< DMatch > > & | matches,
|  | int | k,
|  | InputArrayOfArrays | masks = `noArray()`,
|  | bool | compactResult = `false`
| ) |  |
| protected pure virtual

In fact the matching is implemented only by the following two methods. These methods suppose that the class object has been trained already. Public match methods call these methods after calling train().

Implemented in cv::FlannBasedMatcher, and cv::BFMatcher.

## § match() [1/2]

void cv::DescriptorMatcher::match | ( | InputArray | queryDescriptors,
|  | InputArray | trainDescriptors,
|  | std::vector< DMatch > & | matches,
|  | InputArray | mask = `noArray()`
| ) |  | const

Python:
| matches | = | cv.DescriptorMatcher.match( | queryDescriptors, trainDescriptors[, mask] | )
| matches | = | cv.DescriptorMatcher.match( | queryDescriptors[, masks] | )

Finds the best match for each descriptor from a query set.

Parameters

  queryDescriptors | Query set of descriptors.
  trainDescriptors | Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
  matches | Matches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
  mask | Mask specifying permissible matches between an input query and train matrices of descriptors.

In the first variant of this method, the train descriptors are passed as an input argument. In the second variant of the method, train descriptors collection that was set by DescriptorMatcher::add is used. Optional mask (or masks) can be passed to specify which query and training descriptors can be matched. Namely, queryDescriptors[i] can be matched with trainDescriptors[j] only if mask.at<uchar>(i,j) is non-zero.

## § match() [2/2]

void cv::DescriptorMatcher::match | ( | InputArray | queryDescriptors,
|  | std::vector< DMatch > & | matches,
|  | InputArrayOfArrays | masks = `noArray()`
| ) |  |

Python:
| matches | = | cv.DescriptorMatcher.match( | queryDescriptors, trainDescriptors[, mask] | )
| matches | = | cv.DescriptorMatcher.match( | queryDescriptors[, masks] | )

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  queryDescriptors | Query set of descriptors.
  matches | Matches. If a query descriptor is masked out in mask , no match is added for this descriptor. So, matches size may be smaller than the query descriptors count.
  masks | Set of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].

## § radiusMatch() [1/2]

void cv::DescriptorMatcher::radiusMatch | ( | InputArray | queryDescriptors,
|  | InputArray | trainDescriptors,
|  | std::vector< std::vector< DMatch > > & | matches,
|  | float | maxDistance,
|  | InputArray | mask = `noArray()`,
|  | bool | compactResult = `false`
| ) |  | const

Python:
| matches | = | cv.DescriptorMatcher.radiusMatch( | queryDescriptors, trainDescriptors, maxDistance[, mask[, compactResult]] | )
| matches | = | cv.DescriptorMatcher.radiusMatch( | queryDescriptors, maxDistance[, masks[, compactResult]] | )

For each query descriptor, finds the training descriptors not farther than the specified distance.

Parameters

  queryDescriptors | Query set of descriptors.
  trainDescriptors | Train set of descriptors. This set is not added to the train descriptors collection stored in the class object.
  matches | Found matches.
  compactResult | Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.
  maxDistance | Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
  mask | Mask specifying permissible matches between an input query and train matrices of descriptors.

For each query descriptor, the methods find such training descriptors that the distance between the query descriptor and the training descriptor is equal or smaller than maxDistance. Found matches are returned in the distance increasing order.

## § radiusMatch() [2/2]

void cv::DescriptorMatcher::radiusMatch | ( | InputArray | queryDescriptors,
|  | std::vector< std::vector< DMatch > > & | matches,
|  | float | maxDistance,
|  | InputArrayOfArrays | masks = `noArray()`,
|  | bool | compactResult = `false`
| ) |  |

Python:
| matches | = | cv.DescriptorMatcher.radiusMatch( | queryDescriptors, trainDescriptors, maxDistance[, mask[, compactResult]] | )
| matches | = | cv.DescriptorMatcher.radiusMatch( | queryDescriptors, maxDistance[, masks[, compactResult]] | )

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

Parameters

  queryDescriptors | Query set of descriptors.
  matches | Found matches.
  maxDistance | Threshold for the distance between matched descriptors. Distance means here metric distance (e.g. Hamming distance), not the distance between coordinates (which is measured in Pixels)!
  masks | Set of masks. Each masks[i] specifies permissible matches between the input query descriptors and stored train descriptors from the i-th image trainDescCollection[i].
  compactResult | Parameter used when the mask (or masks) is not empty. If compactResult is false, the matches vector has the same size as queryDescriptors rows. If compactResult is true, the matches vector does not contain matches for fully masked-out query descriptors.

## § radiusMatchImpl()

virtual void cv::DescriptorMatcher::radiusMatchImpl | ( | InputArray | queryDescriptors,
|  | std::vector< std::vector< DMatch > > & | matches,
|  | float | maxDistance,
|  | InputArrayOfArrays | masks = `noArray()`,
|  | bool | compactResult = `false`
| ) |  |
| protected pure virtual

Implemented in cv::FlannBasedMatcher, and cv::BFMatcher.

## § read() [1/2]

void cv::DescriptorMatcher::read | ( | const String & | fileName | ) |
| inline

Python:
| None | = | cv.DescriptorMatcher.read( | fileName | )
| None | = | cv.DescriptorMatcher.read( | arg1 | )

## § read() [2/2]

virtual void cv::DescriptorMatcher::read | ( | const FileNode & | fn | ) |
| virtual

Python:
| None | = | cv.DescriptorMatcher.read( | fileName | )
| None | = | cv.DescriptorMatcher.read( | arg1 | )

Reads algorithm parameters from a file storage.

Reimplemented from cv::Algorithm.

Reimplemented in cv::FlannBasedMatcher.

## § train()

virtual void cv::DescriptorMatcher::train | ( |  | ) |
| virtual

Python:
| None | = | cv.DescriptorMatcher.train( |  | )

Trains a descriptor matcher.

Trains a descriptor matcher (for example, the flann index). In all methods to match, the method train() is run every time before matching. Some descriptor matchers (for example, BruteForceMatcher) have an empty implementation of this method. Other matchers really train their inner structures (for example, FlannBasedMatcher trains flann::Index ).

Reimplemented in cv::FlannBasedMatcher.

## § write() [1/3]

void cv::DescriptorMatcher::write | ( | const String & | fileName | ) | const
| inline

Python:
| None | = | cv.DescriptorMatcher.write( | fileName | )
| None | = | cv.DescriptorMatcher.write( | fs[, name] | )

## § write() [2/3]

virtual void cv::DescriptorMatcher::write | ( | FileStorage & | fs | ) | const
| virtual

Python:
| None | = | cv.DescriptorMatcher.write( | fileName | )
| None | = | cv.DescriptorMatcher.write( | fs[, name] | )

Stores algorithm parameters in a file storage.

Reimplemented from cv::Algorithm.

Reimplemented in cv::FlannBasedMatcher.

## § write() [3/3]

void cv::DescriptorMatcher::write | ( | const Ptr< FileStorage > & | fs,
|  | const String & | name = `String()`
| ) |  | const
| inline

Python:
| None | = | cv.DescriptorMatcher.write( | fileName | )
| None | = | cv.DescriptorMatcher.write( | fs[, name] | )

## Member Data Documentation

## § trainDescCollection

std::vector<Mat> cv::DescriptorMatcher::trainDescCollection
| protected

Collection of descriptors from train images.

## § utrainDescCollection

std::vector<UMat> cv::DescriptorMatcher::utrainDescCollection
| protected

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

- opencv2/features2d.hpp