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

Public Member Functions
void	add (List< Mat > descriptors)
	Adds descriptors to train a CPU(trainDescCollectionis) or GPU(utrainDescCollectionis) descriptor collection.

override void	clear ()
	Clears the train descriptor collections.

DescriptorMatcher	clone ()
	Clones the matcher.

DescriptorMatcher	clone (bool emptyTrainData)
	Clones the matcher.

override bool	empty ()
	Returns true if there are no train descriptors in the both collections.

List< Mat >	getTrainDescriptors ()
	Returns a constant link to the train descriptor collection trainDescCollection .

bool	isMaskSupported ()
	Returns true if the descriptor matcher supports masking permissible matches.

void	knnMatch (Mat queryDescriptors, List< MatOfDMatch > matches, int k)

void	knnMatch (Mat queryDescriptors, List< MatOfDMatch > matches, int k, List< Mat > masks)

void	knnMatch (Mat queryDescriptors, List< MatOfDMatch > matches, int k, List< Mat > masks, bool compactResult)

void	knnMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, int k)
	Finds the k best matches for each descriptor from a query set.

void	knnMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, int k, Mat mask)
	Finds the k best matches for each descriptor from a query set.

void	knnMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, int k, Mat mask, bool compactResult)
	Finds the k best matches for each descriptor from a query set.

void	match (Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches)
	Finds the best match for each descriptor from a query set.

void	match (Mat queryDescriptors, Mat trainDescriptors, MatOfDMatch matches, Mat mask)
	Finds the best match for each descriptor from a query set.

void	match (Mat queryDescriptors, MatOfDMatch matches)

void	match (Mat queryDescriptors, MatOfDMatch matches, List< Mat > masks)

void	radiusMatch (Mat queryDescriptors, List< MatOfDMatch > matches, float maxDistance)

void	radiusMatch (Mat queryDescriptors, List< MatOfDMatch > matches, float maxDistance, List< Mat > masks)

void	radiusMatch (Mat queryDescriptors, List< MatOfDMatch > matches, float maxDistance, List< Mat > masks, bool compactResult)

void	radiusMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, float maxDistance)
	For each query descriptor, finds the training descriptors not farther than the specified distance.

void	radiusMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, float maxDistance, Mat mask)
	For each query descriptor, finds the training descriptors not farther than the specified distance.

void	radiusMatch (Mat queryDescriptors, Mat trainDescriptors, List< MatOfDMatch > matches, float maxDistance, Mat mask, bool compactResult)
	For each query descriptor, finds the training descriptors not farther than the specified distance.

void	read (string fileName)

void	train ()
	Trains a descriptor matcher.

void	write (string fileName)

Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
virtual string	getDefaultName ()

IntPtr	getNativeObjAddr ()

void	save (string filename)

Public Member Functions inherited from OpenCVForUnity.DisposableObject
void	Dispose ()

void	ThrowIfDisposed ()

Static Public Member Functions
static new DescriptorMatcher	__fromPtr__ (IntPtr addr)

static DescriptorMatcher	create (int matcherType)

static DescriptorMatcher	create (string descriptorMatcherType)
	Creates a descriptor matcher of a given type with the default parameters (using default constructor).

Static Public Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
static Algorithm	__fromPtr__ (IntPtr addr)

Static Public Member Functions inherited from OpenCVForUnity.DisposableObject
static IntPtr	ThrowIfNullIntPtr (IntPtr ptr)

Static Public Attributes
const int	BRUTEFORCE = 2

const int	BRUTEFORCE_HAMMING = 4

const int	BRUTEFORCE_HAMMINGLUT = 5

const int	BRUTEFORCE_L1 = 3

const int	BRUTEFORCE_SL2 = 6

const int	FLANNBASED = 1

Protected Member Functions
override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Protected Member Functions inherited from OpenCVForUnity.DisposableOpenCVObject
	DisposableOpenCVObject ()

	DisposableOpenCVObject (bool isEnabledDispose)

	DisposableOpenCVObject (IntPtr ptr)

	DisposableOpenCVObject (IntPtr ptr, bool isEnabledDispose)

override void	Dispose (bool disposing)

Protected Member Functions inherited from OpenCVForUnity.DisposableObject
	DisposableObject ()

	DisposableObject (bool isEnabledDispose)

Additional Inherited Members
Package Functions inherited from OpenCVForUnity.CoreModule.Algorithm
Package Attributes inherited from OpenCVForUnity.DisposableOpenCVObject
Properties inherited from OpenCVForUnity.DisposableObject
bool	IsDisposed `[get, protected set]`

bool	IsEnabledDispose `[get, set]`

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 Function Documentation

◆ fromPtr()

static new DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.__fromPtr__ ( IntPtr addr )

static

◆ add()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.add ( List< Mat > 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.

◆ clear()

override void OpenCVForUnity.Features2dModule.DescriptorMatcher.clear ( )

virtual

Clears the train descriptor collections.

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ clone() [1/2]

DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.clone ( )

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.

◆ clone() [2/2]

DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.clone ( bool 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.

◆ create() [1/2]

static DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.create ( int matcherType )

static

◆ create() [2/2]

static DescriptorMatcher OpenCVForUnity.Features2dModule.DescriptorMatcher.create ( string descriptorMatcherType )

static

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

◆ Dispose()

override void OpenCVForUnity.Features2dModule.DescriptorMatcher.Dispose ( bool disposing )

protectedvirtual

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

Reimplemented in OpenCVForUnity.Features2dModule.FlannBasedMatcher.

◆ empty()

override bool OpenCVForUnity.Features2dModule.DescriptorMatcher.empty ( )

virtual

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

Reimplemented from OpenCVForUnity.CoreModule.Algorithm.

◆ getTrainDescriptors()

List< Mat > OpenCVForUnity.Features2dModule.DescriptorMatcher.getTrainDescriptors ( )

Returns a constant link to the train descriptor collection trainDescCollection .

◆ isMaskSupported()

bool OpenCVForUnity.Features2dModule.DescriptorMatcher.isMaskSupported ( )

Returns true if the descriptor matcher supports masking permissible matches.

◆ knnMatch() [1/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch	(	Mat	queryDescriptors,
		List< MatOfDMatch >	matches,
		int	k )

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.

◆ knnMatch() [2/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch	(	Mat	queryDescriptors,
		List< MatOfDMatch >	matches,
		int	k,
		List< Mat >	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. 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.

◆ knnMatch() [3/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch	(	Mat	queryDescriptors,
		List< MatOfDMatch >	matches,
		int	k,
		List< Mat >	masks,
		bool	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.

◆ knnMatch() [4/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		List< MatOfDMatch >	matches,
		int	k )

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() [5/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		List< MatOfDMatch >	matches,
		int	k,
		Mat	mask )

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() [6/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.knnMatch	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		List< MatOfDMatch >	matches,
		int	k,
		Mat	mask,
		bool	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.

◆ match() [1/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		MatOfDMatch	matches )

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() [2/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		MatOfDMatch	matches,
		Mat	mask )

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() [3/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match	(	Mat	queryDescriptors,
		MatOfDMatch	matches )

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].

◆ match() [4/4]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.match	(	Mat	queryDescriptors,
		MatOfDMatch	matches,
		List< Mat >	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() [1/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch	(	Mat	queryDescriptors,
		List< MatOfDMatch >	matches,
		float	maxDistance )

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.

◆ radiusMatch() [2/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch	(	Mat	queryDescriptors,
		List< MatOfDMatch >	matches,
		float	maxDistance,
		List< Mat >	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	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.

◆ radiusMatch() [3/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch	(	Mat	queryDescriptors,
		List< MatOfDMatch >	matches,
		float	maxDistance,
		List< Mat >	masks,
		bool	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.

◆ radiusMatch() [4/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		List< MatOfDMatch >	matches,
		float	maxDistance )

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() [5/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		List< MatOfDMatch >	matches,
		float	maxDistance,
		Mat	mask )

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() [6/6]

void OpenCVForUnity.Features2dModule.DescriptorMatcher.radiusMatch	(	Mat	queryDescriptors,
		Mat	trainDescriptors,
		List< MatOfDMatch >	matches,
		float	maxDistance,
		Mat	mask,
		bool	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.

◆ read()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.read ( string fileName )

◆ train()

void OpenCVForUnity.Features2dModule.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 ).

◆ write()

void OpenCVForUnity.Features2dModule.DescriptorMatcher.write ( string fileName )

Member Data Documentation

◆ BRUTEFORCE

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE = 2

static

◆ BRUTEFORCE_HAMMING

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_HAMMING = 4

static

◆ BRUTEFORCE_HAMMINGLUT

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_HAMMINGLUT = 5

static

◆ BRUTEFORCE_L1

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_L1 = 3

static

◆ BRUTEFORCE_SL2

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.BRUTEFORCE_SL2 = 6

static

◆ FLANNBASED

const int OpenCVForUnity.Features2dModule.DescriptorMatcher.FLANNBASED = 1

static

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

OpenCVForUnity/Assets/OpenCVForUnity/org/opencv/features2d/DescriptorMatcher.cs

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Member Functions

Additional Inherited Members

Detailed Description

Member Function Documentation

◆ __fromPtr__()

◆ add()

◆ clear()

◆ clone() [1/2]

◆ clone() [2/2]

◆ create() [1/2]

◆ create() [2/2]

◆ Dispose()

◆ empty()

◆ getTrainDescriptors()

◆ isMaskSupported()

◆ knnMatch() [1/6]

◆ knnMatch() [2/6]

◆ knnMatch() [3/6]

◆ knnMatch() [4/6]

◆ knnMatch() [5/6]

◆ knnMatch() [6/6]

◆ match() [1/4]

◆ match() [2/4]

◆ match() [3/4]

◆ match() [4/4]

◆ radiusMatch() [1/6]

◆ radiusMatch() [2/6]

◆ radiusMatch() [3/6]

◆ radiusMatch() [4/6]

◆ radiusMatch() [5/6]

◆ radiusMatch() [6/6]

◆ read()

◆ train()

◆ write()

Member Data Documentation

◆ BRUTEFORCE

◆ BRUTEFORCE_HAMMING

◆ BRUTEFORCE_HAMMINGLUT

◆ BRUTEFORCE_L1

◆ BRUTEFORCE_SL2

◆ FLANNBASED

◆ fromPtr()