#include <nn_index.h>

Inheritance diagram for cvflann::NNIndex< Distance >:

Public Member Functions
virtual	~NNIndex ()

virtual void	buildIndex ()=0
	Builds the index. More...

virtual void	addIndex (const Matrix< ElementType > &wholeData, const Matrix< ElementType > &additionalData)=0
	implementation for algorithms of addable indexes after that. More...

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

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

virtual void	saveIndex (FILE *stream)=0
	Saves the index to a stream. More...

virtual void	loadIndex (FILE *stream)=0
	Loads the index from a stream. More...

virtual size_t	size () const =0

virtual size_t	veclen () const =0

virtual int	usedMemory () const =0

virtual flann_algorithm_t	getType () const =0

virtual IndexParams	getParameters () const =0

virtual void	findNeighbors (ResultSet< DistanceType > &result, const ElementType *vec, const SearchParams &searchParams)=0
	Method that searches for nearest-neighbours. More...

Detailed Description

template<typename Distance>
class cvflann::NNIndex< Distance >

Nearest-neighbour index base class

Constructor & Destructor Documentation

§ ~NNIndex()

template<typename Distance>

virtual cvflann::NNIndex< Distance >::~NNIndex ( )

inlinevirtual

Member Function Documentation

§ addIndex()

template<typename Distance>

virtual void cvflann::NNIndex< Distance >::addIndex	(	const Matrix< ElementType > &	wholeData,
		const Matrix< ElementType > &	additionalData
	)

pure virtual

implementation for algorithms of addable indexes after that.

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::CompositeIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::KDTreeIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ buildIndex()

template<typename Distance>

virtual void cvflann::NNIndex< Distance >::buildIndex ( )

pure virtual

Builds the index.

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::CompositeIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::KDTreeIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ findNeighbors()

template<typename Distance>

virtual void cvflann::NNIndex< Distance >::findNeighbors	(	ResultSet< DistanceType > &	result,
		const ElementType *	vec,
		const SearchParams &	searchParams
	)

pure virtual

Method that searches for nearest-neighbours.

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::KDTreeIndex< Distance >, cvflann::CompositeIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ getParameters()

template<typename Distance>

virtual IndexParams cvflann::NNIndex< Distance >::getParameters ( ) const

pure virtual

Returns: The index parameters

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::LshIndex< Distance >, cvflann::CompositeIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ getType()

template<typename Distance>

virtual flann_algorithm_t cvflann::NNIndex< Distance >::getType ( ) const

pure virtual

Returns: The index type (kdtree, kmeans,...)

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::AutotunedIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::LshIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::CompositeIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ knnSearch()

template<typename Distance>

virtual void cvflann::NNIndex< Distance >::knnSearch	(	const Matrix< ElementType > &	queries,
		Matrix< int > &	indices,
		Matrix< DistanceType > &	dists,
		int	knn,
		const SearchParams &	params
	)

inlinevirtual

Perform k-nearest neighbor search.

Parameters

[in]	queries	The query points for which to find the nearest neighbors
[out]	indices	The indices of the nearest neighbors found
[out]	dists	Distances to the nearest neighbors found
[in]	knn	Number of nearest neighbors to return
[in]	params	Search parameters

Reimplemented in cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::KDTreeSingleIndex< Distance >, and cvflann::LshIndex< Distance >.

§ loadIndex()

template<typename Distance>

virtual void cvflann::NNIndex< Distance >::loadIndex ( FILE * stream )

pure virtual

Loads the index from a stream.

Parameters

stream The stream from which the index is loaded

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::CompositeIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ radiusSearch()

template<typename Distance>

virtual int cvflann::NNIndex< Distance >::radiusSearch	(	const Matrix< ElementType > &	query,
		Matrix< int > &	indices,
		Matrix< DistanceType > &	dists,
		float	radius,
		const SearchParams &	params
	)

inlinevirtual

Perform radius search.

Parameters

[in]	query	The query point
[out]	indices	The indinces of the neighbors found within the given radius
[out]	dists	The distances to the nearest neighbors found
[in]	radius	The radius used for search
[in]	params	Search parameters

Returns: Number of neighbors found

Reimplemented in cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, and cvflann::Index< cv::L1< ElementType > >.

§ saveIndex()

template<typename Distance>

virtual void cvflann::NNIndex< Distance >::saveIndex ( FILE * stream )

pure virtual

Saves the index to a stream.

Parameters

stream The stream to save the index to

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::LshIndex< Distance >, cvflann::CompositeIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ size()

template<typename Distance>

virtual size_t cvflann::NNIndex< Distance >::size ( ) const

pure virtual

Returns: number of features in this index.

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::AutotunedIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::LshIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::CompositeIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ usedMemory()

template<typename Distance>

virtual int cvflann::NNIndex< Distance >::usedMemory ( ) const

pure virtual

Returns: The amount of memory (in bytes) used by the index.

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::AutotunedIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::LshIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::CompositeIndex< Distance >, and cvflann::LinearIndex< Distance >.

§ veclen()

template<typename Distance>

virtual size_t cvflann::NNIndex< Distance >::veclen ( ) const

pure virtual

Returns: The dimensionality of the features in this index.

Implemented in cvflann::HierarchicalClusteringIndex< Distance >, cvflann::KMeansIndex< Distance >, cvflann::AutotunedIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::CompositeIndex< Distance >, and cvflann::LinearIndex< Distance >.

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

nn_index.h

Public Member Functions

Detailed Description

template<typename Distance> class cvflann::NNIndex< Distance >

Constructor & Destructor Documentation

§ ~NNIndex()

Member Function Documentation

§ addIndex()

§ buildIndex()

§ findNeighbors()

§ getParameters()

§ getType()

§ knnSearch()

§ loadIndex()

§ radiusSearch()

§ saveIndex()

§ size()

§ usedMemory()

§ veclen()

template<typename Distance>
class cvflann::NNIndex< Distance >