OpenCV  3.3.1
Open Source Computer Vision
Public Types | Public Member Functions | Public Attributes | List of all members
cvflann::MinkowskiDistance< T > Struct Template Reference

#include "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

 MinkowskiDistance (int order_)
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

Public Attributes

int order

Member Typedef Documentation

§ ElementType

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

§ is_kdtree_distance

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

§ is_vector_space_distance

§ ResultType

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

Constructor & Destructor Documentation

§ MinkowskiDistance()

template<class T >
cvflann::MinkowskiDistance< T >::MinkowskiDistance ( int  order_)

Member Function Documentation

§ accum_dist()

template<class T >
template<typename U , typename V >
ResultType cvflann::MinkowskiDistance< T >::accum_dist ( const U &  a,
const V &  b,
) const

Partial distance, used by the kd-tree.

§ operator()()

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

Compute the Minkowsky (L_p) distance between two vectors.

This is highly optimised, with loop unrolling, as it is one of the most expensive inner loops.

The computation of squared root at the end is omitted for efficiency.

Member Data Documentation

§ order

template<class T >
int cvflann::MinkowskiDistance< T >::order

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