#include <kdtree_index.h>

Inheritance diagram for flann::KDTreeIndex< Distance >:

Collaboration diagram for flann::KDTreeIndex< Distance >:

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Public Types
typedef Distance::ElementType	ElementType

typedef Distance::ResultType	DistanceType

typedef NNIndex< Distance >	BaseClass

typedef bool	needs_kdtree_distance

Public Types inherited from flann::NNIndex< Distance >
typedef Distance::ElementType	ElementType

typedef Distance::ResultType	DistanceType

Public Member Functions
	KDTreeIndex (const IndexParams &params=KDTreeIndexParams(), Distance d=Distance())

	KDTreeIndex (const Matrix< ElementType > &dataset, const IndexParams &params=KDTreeIndexParams(), Distance d=Distance())

	KDTreeIndex (const KDTreeIndex &other)

KDTreeIndex &	operator= (KDTreeIndex other)

virtual	~KDTreeIndex ()

BaseClass *	clone () const

void	addPoints (const Matrix< ElementType > &points, float rebuild_threshold=2)
	Incrementally add points to the index. More...

flann_algorithm_t	getType () const

template<typename Archive >
void	serialize (Archive &ar)

void	saveIndex (FILE *stream)

void	loadIndex (FILE *stream)

int	usedMemory () const

void	findNeighbors (ResultSet< DistanceType > &result, const ElementType *vec, const SearchParams &searchParams) const

virtual void	buildIndex ()

virtual void	buildIndex (const Matrix< ElementType > &dataset)

Public Member Functions inherited from flann::NNIndex< Distance >
	NNIndex (Distance d)

	NNIndex (const IndexParams &params, Distance d)

	NNIndex (const NNIndex &other)

virtual	~NNIndex ()

virtual void	buildIndex (const Matrix< ElementType > &dataset)

virtual void	removePoint (size_t id)

virtual ElementType *	getPoint (size_t id)

size_t	size () const

size_t	veclen () const

IndexParams	getParameters () const

template<typename Archive >
void	serialize (Archive &ar)

virtual int	knnSearch (const Matrix< ElementType > &queries, Matrix< size_t > &indices, Matrix< DistanceType > &dists, size_t knn, const SearchParams &params) const
	Perform k-nearest neighbor search. More...

int	knnSearch (const Matrix< ElementType > &queries, Matrix< int > &indices, Matrix< DistanceType > &dists, size_t knn, const SearchParams &params) const

int	knnSearch (const Matrix< ElementType > &queries, std::vector< std::vector< size_t > > &indices, std::vector< std::vector< DistanceType > > &dists, size_t knn, const SearchParams &params) const
	Perform k-nearest neighbor search. More...

int	knnSearch (const Matrix< ElementType > &queries, std::vector< std::vector< int > > &indices, std::vector< std::vector< DistanceType > > &dists, size_t knn, const SearchParams &params) const

int	radiusSearch (const Matrix< ElementType > &queries, Matrix< size_t > &indices, Matrix< DistanceType > &dists, float radius, const SearchParams &params) const
	Perform radius search. More...

int	radiusSearch (const Matrix< ElementType > &queries, Matrix< int > &indices, Matrix< DistanceType > &dists, float radius, const SearchParams &params) const

int	radiusSearch (const Matrix< ElementType > &queries, std::vector< std::vector< size_t > > &indices, std::vector< std::vector< DistanceType > > &dists, float radius, const SearchParams &params) const
	Perform radius search. More...

int	radiusSearch (const Matrix< ElementType > &queries, std::vector< std::vector< int > > &indices, std::vector< std::vector< DistanceType > > &dists, float radius, const SearchParams &params) const

Public Member Functions inherited from flann::IndexBase
virtual	~IndexBase ()

Protected Member Functions
void	buildIndexImpl ()

void	freeIndex ()

Protected Member Functions inherited from flann::NNIndex< Distance >
size_t	id_to_index (size_t id)

void	indices_to_ids (const size_t in, size_t out, size_t size) const

void	setDataset (const Matrix< ElementType > &dataset)

void	extendDataset (const Matrix< ElementType > &new_points)

void	cleanRemovedPoints ()

void	swap (NNIndex &other)

Additional Inherited Members
Protected Attributes inherited from flann::NNIndex< Distance >
Distance	distance_

size_t	last_id_

size_t	size_

size_t	size_at_build_

size_t	veclen_

IndexParams	index_params_

bool	removed_

DynamicBitset	removed_points_

size_t	removed_count_

std::vector< size_t >	ids_

std::vector< ElementType * >	points_

ElementType *	data_ptr_

Detailed Description

template<typename Distance>
class flann::KDTreeIndex< Distance >

Randomized kd-tree index

Contains the k-d trees and other information for indexing a set of points for nearest-neighbor matching.

Definition at line 72 of file kdtree_index.h.

Member Typedef Documentation

◆ BaseClass

template<typename Distance >

typedef NNIndex<Distance> flann::KDTreeIndex< Distance >::BaseClass

Definition at line 78 of file kdtree_index.h.

◆ DistanceType

template<typename Distance >

typedef Distance::ResultType flann::KDTreeIndex< Distance >::DistanceType

Definition at line 76 of file kdtree_index.h.

◆ ElementType

template<typename Distance >

typedef Distance::ElementType flann::KDTreeIndex< Distance >::ElementType

Definition at line 75 of file kdtree_index.h.

◆ needs_kdtree_distance

template<typename Distance >

typedef bool flann::KDTreeIndex< Distance >::needs_kdtree_distance

Definition at line 80 of file kdtree_index.h.

Constructor & Destructor Documentation

◆ KDTreeIndex() [1/3]

template<typename Distance >

flann::KDTreeIndex< Distance >::KDTreeIndex	(	const IndexParams &	params = `KDTreeIndexParams()`,
		Distance	d = `Distance()`
	)

inline

KDTree constructor

Params: inputData = dataset with the input features params = parameters passed to the kdtree algorithm

Definition at line 90 of file kdtree_index.h.

References flann::get_param(), and flann::NNIndex< Distance >::index_params_.

Referenced by flann::KDTreeIndex< Distance >::clone().

◆ KDTreeIndex() [2/3]

template<typename Distance >

flann::KDTreeIndex< Distance >::KDTreeIndex	(	const Matrix< ElementType > &	dataset,
		const IndexParams &	params = `KDTreeIndexParams()`,
		Distance	d = `Distance()`
	)

inline

KDTree constructor

Params: inputData = dataset with the input features params = parameters passed to the kdtree algorithm

Definition at line 104 of file kdtree_index.h.

References flann::get_param(), flann::NNIndex< Distance >::index_params_, and flann::NNIndex< Distance >::setDataset().

◆ KDTreeIndex() [3/3]

template<typename Distance >

flann::KDTreeIndex< Distance >::KDTreeIndex ( const KDTreeIndex< Distance > & other )

inline

Definition at line 112 of file kdtree_index.h.

◆ ~KDTreeIndex()

template<typename Distance >

virtual flann::KDTreeIndex< Distance >::~KDTreeIndex ( )

inlinevirtual

Standard destructor

Definition at line 130 of file kdtree_index.h.

References flann::KDTreeIndex< Distance >::freeIndex().

Member Function Documentation

◆ addPoints()

template<typename Distance >

void flann::KDTreeIndex< Distance >::addPoints	(	const Matrix< ElementType > &	points,
		float	rebuild_threshold = `2`
	)

inlinevirtual

Incrementally add points to the index.

Parameters

points	Matrix with points to be added
rebuild_threshold

Reimplemented from flann::NNIndex< Distance >.

Definition at line 142 of file kdtree_index.h.

References flann::KDTreeIndex< Distance >::buildIndex(), flann::NNIndex< Distance >::extendDataset(), points, flann::NNIndex< Distance >::size_, flann::NNIndex< Distance >::size_at_build_, and flann::NNIndex< Distance >::veclen_.

◆ buildIndex() [1/2]

template<typename Distance >

virtual void flann::NNIndex< Distance >::buildIndex

inlinevirtual

Builds the index

Reimplemented from flann::NNIndex< Distance >.

Definition at line 125 of file nn_index.h.

Referenced by flann::KDTreeIndex< Distance >::addPoints().

◆ buildIndex() [2/2]

template<typename Distance >

virtual void flann::NNIndex< Distance >::buildIndex

inlinevirtual

Builds the index using the specified dataset

Parameters

dataset the dataset to use

Reimplemented from flann::NNIndex< Distance >.

Definition at line 141 of file nn_index.h.

◆ buildIndexImpl()

template<typename Distance >

void flann::KDTreeIndex< Distance >::buildIndexImpl ( )

inlineprotectedvirtual

Builds the index

Implements flann::NNIndex< Distance >.

Definition at line 253 of file kdtree_index.h.

References flann::NNIndex< Distance >::size_, and flann::NNIndex< Distance >::veclen_.

◆ clone()

template<typename Distance >

BaseClass* flann::KDTreeIndex< Distance >::clone ( ) const

inlinevirtual

Implements flann::NNIndex< Distance >.

Definition at line 135 of file kdtree_index.h.

References flann::KDTreeIndex< Distance >::KDTreeIndex().

◆ findNeighbors()

template<typename Distance >

void flann::KDTreeIndex< Distance >::findNeighbors	(	ResultSet< DistanceType > &	result,
		const ElementType *	vec,
		const SearchParams &	searchParams
	)		const

inlinevirtual

Find set of nearest neighbors to vec. Their indices are stored inside the result object.

Params: result = the result object in which the indices of the nearest-neighbors are stored vec = the vector for which to search the nearest neighbors maxCheck = the maximum number of restarts (in a best-bin-first manner)

Implements flann::NNIndex< Distance >.

Definition at line 225 of file kdtree_index.h.

References flann::SearchParams::checks, flann::SearchParams::eps, FLANN_CHECKS_UNLIMITED, flann::NNIndex< Distance >::removed_, and result.