cvflann::KNNUniqueResultSet< DistanceType > Class Template Reference

#include "result_set.h"

Inheritance diagram for cvflann::KNNUniqueResultSet< DistanceType >:

Public Member Functions
	KNNUniqueResultSet (unsigned int capacity)
void	addPoint (DistanceType dist, int index)
void	clear ()
Public Member Functions inherited from cvflann::UniqueResultSet< DistanceType >
	UniqueResultSet ()
virtual void	copy (int *indices, DistanceType *dist, int n_neighbors=-1) const
bool	full () const
size_t	size () const
virtual void	sortAndCopy (int *indices, DistanceType *dist, int n_neighbors=-1) const
DistanceType	worstDist () const
Public Member Functions inherited from cvflann::ResultSet< DistanceType >
virtual	~ResultSet ()

Protected Types
typedef UniqueResultSet< DistanceType >::DistIndex	DistIndex

Protected Attributes
unsigned int	capacity_
Protected Attributes inherited from cvflann::UniqueResultSet< DistanceType >
std::set< DistIndex >	dist_indices_
bool	is_full_
DistanceType	worst_distance_

Detailed Description

template<typename DistanceType>
class cvflann::KNNUniqueResultSet< DistanceType >

Class that holds the k NN neighbors Faster than KNNResultSet as it uses a binary heap and does not maintain two arrays

Member Typedef Documentation

DistIndex

template<typename DistanceType>

typedef UniqueResultSet<DistanceType>::DistIndex cvflann::KNNUniqueResultSet< DistanceType >::DistIndex

protected

Constructor & Destructor Documentation

KNNUniqueResultSet()

template<typename DistanceType>

cvflann::KNNUniqueResultSet< DistanceType >::KNNUniqueResultSet

(

unsigned int

capacity

)

Constructor

Parameters

capacity

the number of neighbors to store at max

Member Function Documentation

addPoint()

template<typename DistanceType>

void cvflann::KNNUniqueResultSet< DistanceType >::addPoint ( DistanceType  dist, int  index  )

virtual

Add a possible candidate to the best neighbors

Parameters

dist	distance for that neighbor
index	index of that neighbor

Implements cvflann::ResultSet< DistanceType >.

clear()

template<typename DistanceType>

void cvflann::KNNUniqueResultSet< DistanceType >::clear ( )

virtual

Remove all elements in the set

Implements cvflann::UniqueResultSet< DistanceType >.

Reimplemented in cvflann::KNNRadiusUniqueResultSet< DistanceType >.

Member Data Documentation

capacity_

template<typename DistanceType>

unsigned int cvflann::KNNUniqueResultSet< DistanceType >::capacity_

protected

The number of neighbors to keep

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

• flann/include/opencv2/flann/result_set.h