#include <opencv2/flann/nn_index.h>

Inheritance diagram for cvflann::NNIndex< Distance >:

Public Member Functions
virtual	~NNIndex ()

virtual void	buildIndex ()=0
	Builds the index.

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

virtual IndexParams	getParameters () const =0

virtual flann_algorithm_t	getType () const =0

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

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

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

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

virtual size_t	size () const =0

virtual int	usedMemory () const =0

virtual size_t	veclen () const =0

Detailed Description

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

Nearest-neighbour index base class

Constructor & Destructor Documentation

template<typename Distance>

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

inlinevirtual

Member Function Documentation

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::KDTreeSingleIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

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::Index< Distance >, cvflann::Index< cv::L2< ElementType > >, cvflann::Index< cv::L1< ElementType > >, cvflann::LshIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::CompositeIndex< Distance >, cvflann::AutotunedIndex< Distance >, and cvflann::LinearIndex< Distance >.

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 >.

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::KDTreeIndex< Distance >, cvflann::KDTreeSingleIndex< Distance >, cvflann::LshIndex< Distance >, cvflann::CompositeIndex< Distance >, and cvflann::LinearIndex< Distance >.

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 >.

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::KDTreeSingleIndex< Distance >, cvflann::KDTreeIndex< Distance >, cvflann::AutotunedIndex< Distance >, cvflann::LshIndex< Distance >, and cvflann::LinearIndex< Distance >.

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