cvflann::KL_Divergence< T > Struct Template Reference

OpenCV 4.1.0

Open Source Computer Vision

#include <opencv2/flann/dist.h>

Public Types
typedef T	ElementType

typedef True	is_kdtree_distance

typedef True	is_vector_space_distance

typedef Accumulator< T >::Type	ResultType

Public Member Functions
template<typename U , typename V >
ResultType	accum_dist (const U &a, const V &b, int) const

template<typename Iterator1 , typename Iterator2 >
ResultType	operator() (Iterator1 a, Iterator2 b, size_t size, ResultType worst_dist=-1) const

Member Typedef Documentation

template<class T >

typedef T cvflann::KL_Divergence< T >::ElementType

template<class T >

typedef True cvflann::KL_Divergence< T >::is_kdtree_distance

template<class T >

typedef True cvflann::KL_Divergence< T >::is_vector_space_distance

template<class T >

typedef Accumulator<T>::Type cvflann::KL_Divergence< T >::ResultType

Member Function Documentation

template<class T >

template<typename U , typename V >

ResultType cvflann::KL_Divergence< T >::accum_dist	(	const U &	a,
		const V &	b,
		int
	)		const

inline

Partial distance, used by the kd-tree.

template<class T >

template<typename Iterator1 , typename Iterator2 >

ResultType cvflann::KL_Divergence< T >::operator()	(	Iterator1	a,
		Iterator2	b,
		size_t	size,
		ResultType	worst_dist = `-1`
	)		const

inline

Compute the Kullback-Leibler divergence

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

dist.h