OpenCV  2.4.13.7
Open Source Computer Vision
cvflann::KL_Divergence< T > Struct Template Reference

#include <dist.h>

Public Types

typedef True is_kdtree_distance
 
typedef True is_vector_space_distance
 
typedef T ElementType
 
typedef Accumulator< T >::Type ResultType
 

Public Member Functions

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

Member Typedef Documentation

§ ElementType

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

§ is_kdtree_distance

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

§ is_vector_space_distance

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

§ ResultType

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

Member Function Documentation

§ accum_dist()

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.

§ operator()()

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: