cvr::euclideanDistanceFunctor< T > Class Template Reference

This class is the base class for all functors which compute distances between two vectors or matrices. More...

#include <cvrEuclideanDistanceFunctor.h>

Inheritance diagram for cvr::euclideanDistanceFunctor< T >:

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Collaboration diagram for cvr::euclideanDistanceFunctor< T >:

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List of all members.

Public Types
typedef distanceFunctor< T > ::parameters	parameters
Public Member Functions
	euclideanDistanceFunctor ()
	euclideanDistanceFunctor (const euclideanDistanceFunctor< T > &other)
virtual	~euclideanDistanceFunctor ()
virtual bool	apply (const vector< T > &a, const vector< T > &b, T &dist) const
virtual bool	apply (const matrix< T > &a, const matrix< T > &b, vector< T > &dists) const
virtual bool	apply (const matrix< T > &m, const vector< T > &v, vector< T > &dest) const
virtual bool	apply (const matrix< T > &a, const matrix< T > &b, T &dist) const
euclideanDistanceFunctor< T > &	copy (const euclideanDistanceFunctor< T > &other)
virtual euclideanDistanceFunctor< T > *	clone () const
virtual euclideanDistanceFunctor< T > *	newInstance () const
virtual const std::string &	name () const
const parameters &	getParameters () const

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Detailed Description

template<typename T>
class cvr::euclideanDistanceFunctor< T >

This class is the base class for all functors which compute distances between two vectors or matrices.

See also:

similarityFunctor

Be careful with the use of the parameters::rowWise. It indicates if the matrix should be considered as having row vectors (true) of columns vectors (false). Depending on that the computations will be very different.

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Member Typedef Documentation

template<typename T>

typedef distanceFunctor<T>::parameters cvr::euclideanDistanceFunctor< T >::parameters

The parameters of euclideanDistanceFunctor are equivalent to those of distanceFunctor.

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Constructor & Destructor Documentation

template<typename T>

cvr::euclideanDistanceFunctor< T >::euclideanDistanceFunctor

(

)

default constructor

template<typename T>

cvr::euclideanDistanceFunctor< T >::euclideanDistanceFunctor

(

const euclideanDistanceFunctor< T > &

other

)

copy constructor

Parameters:

other

the object to be copied

template<typename T>

virtual cvr::euclideanDistanceFunctor< T >::~euclideanDistanceFunctor

(

)

[virtual]

destructor

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Member Function Documentation

template<typename T>

virtual bool cvr::euclideanDistanceFunctor< T >::apply	(	const matrix< T > &	a,
		const matrix< T > &	b,
		T &	dist
	)			const [virtual]

calculate something like the distance between the matrices a and b: both matrices are seen as vectors.

By default uses the distance() member function.

Parameters:

	a	the first matrix<T>
	b	the second matrix<T>
	dist	the 'distance' between the matrices

Returns:

false on error -> see status string

Implements cvr::distanceFunctor< T >.

template<typename T>

virtual bool cvr::euclideanDistanceFunctor< T >::apply	(	const matrix< T > &	m,
		const vector< T > &	v,
		vector< T > &	dest
	)			const [virtual]

Calculate the distance between each row or column of m depending on the value of rowWise and the vector v.

By default uses the distance() member function.

Parameters:

	m	the matrix<T>
	v	the vector to be compared with
	dest	the vector with the distances to the vector v

Returns:

false on error

Implements cvr::distanceFunctor< T >.

template<typename T>

virtual bool cvr::euclideanDistanceFunctor< T >::apply	(	const matrix< T > &	a,
		const matrix< T > &	b,
		vector< T > &	dists
	)			const [virtual]

calculate the distances between the rows or columns of the matrices a and b, determined by the parameters rowWise.

By default uses the distance() member function.

Parameters:

	a	the first vector<T>
	b	the second vector<T>
	dists	the distances between the matrices

Returns:

false on error -> see status string

Implements cvr::distanceFunctor< T >.

template<typename T>

virtual bool cvr::euclideanDistanceFunctor< T >::apply	(	const vector< T > &	a,
		const vector< T > &	b,
		T &	dist
	)			const [virtual]

calculate the distance between the vectors a and b.

By default uses the distance member function.

Parameters:

	a	the first vector<T>
	b	the second vector<T>
	dist	the distance between the vectors

Returns:

false on error -> see status string

Implements cvr::distanceFunctor< T >.

template<typename T>

virtual euclideanDistanceFunctor<T>* cvr::euclideanDistanceFunctor< T >::clone

(

)

const [virtual]

returns a pointer to a clone of this functor.

Implements cvr::distanceFunctor< T >.

template<typename T>

euclideanDistanceFunctor<T>& cvr::euclideanDistanceFunctor< T >::copy

(

const euclideanDistanceFunctor< T > &

other

)

copy data of "other" functor.

Parameters:

other

the functor to be copied

Returns:

a reference to this functor object

template<typename T>

const parameters& cvr::euclideanDistanceFunctor< T >::getParameters

(

)

const

returns used parameters

Reimplemented from cvr::distanceFunctor< T >.

template<typename T>

virtual const std::string& cvr::euclideanDistanceFunctor< T >::name

(

)

const [virtual]

Return the name of the class.

Reimplemented from cvr::distanceFunctor< T >.

template<typename T>

virtual euclideanDistanceFunctor<T>* cvr::euclideanDistanceFunctor< T >::newInstance

(

)

const [virtual]

returns a pointer to a new instance of this functor.

Implements cvr::distanceFunctor< T >.

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

• cvrEuclideanDistanceFunctor.h