CovarianceSamplingDataPointsFilter< T > Struct Template Reference

#include <CovarianceSampling.h>

Inheritance diagram for CovarianceSamplingDataPointsFilter< T >:

List of all members.

Public Types
typedef PM::DataPoints	DataPoints
typedef PM::DataPointsFilter	DataPointsFilter
typedef DataPoints::Index	Index
typedef PointMatcher< T > ::DataPoints::InvalidField	InvalidField
typedef Parametrizable::InvalidParameter	InvalidParameter
typedef PointMatcher< T >::Matrix	Matrix
typedef PointMatcherSupport::Parametrizable	P
typedef Parametrizable::ParameterDoc	ParameterDoc
typedef Parametrizable::Parameters	Parameters
	Parameters stored as a map of string->string.
typedef Parametrizable::ParametersDoc	ParametersDoc
	The documentation of all parameters.
typedef PointMatcherSupport::Parametrizable	Parametrizable
typedef PointMatcher< T >	PM
enum	TorqueNormMethod { L1 = 0, Lavg = 1, Lmax = 2 }
typedef PointMatcher< T >::Vector	Vector
Public Member Functions
	CovarianceSamplingDataPointsFilter (const Parameters &params=Parameters())
virtual DataPoints	filter (const DataPoints &input)
	Apply filters to input point cloud. This is the non-destructive version and returns a copy.
virtual void	inPlaceFilter (DataPoints &cloud)
	Apply these filters to a point cloud without copying.
virtual	~CovarianceSamplingDataPointsFilter ()
Static Public Member Functions
static const ParametersDoc	availableParameters ()
static T	computeConditionNumber (const Matrix66 &cov)
static const std::string	description ()
Public Attributes
std::size_t	nbSample
TorqueNormMethod	normalizationMethod

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Detailed Description

template<typename T>
struct CovarianceSamplingDataPointsFilter< T >

Definition at line 40 of file CovarianceSampling.h.

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Member Typedef Documentation

template<typename T >

typedef PM::DataPoints CovarianceSamplingDataPointsFilter< T >::DataPoints

Definition at line 44 of file CovarianceSampling.h.

template<typename T >

typedef PM::DataPointsFilter CovarianceSamplingDataPointsFilter< T >::DataPointsFilter

Definition at line 45 of file CovarianceSampling.h.

template<typename T >

typedef DataPoints::Index CovarianceSamplingDataPointsFilter< T >::Index

Definition at line 54 of file CovarianceSampling.h.

template<typename T >

typedef PointMatcher<T>::DataPoints::InvalidField CovarianceSamplingDataPointsFilter< T >::InvalidField

Definition at line 56 of file CovarianceSampling.h.

template<typename T >

typedef Parametrizable::InvalidParameter CovarianceSamplingDataPointsFilter< T >::InvalidParameter

Definition at line 52 of file CovarianceSampling.h.

template<typename T >

typedef PointMatcher<T>::Matrix CovarianceSamplingDataPointsFilter< T >::Matrix

Definition at line 59 of file CovarianceSampling.h.

template<typename T >

typedef PointMatcherSupport::Parametrizable CovarianceSamplingDataPointsFilter< T >::P

Definition at line 48 of file CovarianceSampling.h.

template<typename T >

typedef Parametrizable::ParameterDoc CovarianceSamplingDataPointsFilter< T >::ParameterDoc

Definition at line 50 of file CovarianceSampling.h.

template<typename T >

typedef Parametrizable::Parameters CovarianceSamplingDataPointsFilter< T >::Parameters

Parameters stored as a map of string->string.

Reimplemented from PointMatcherSupport::Parametrizable.

Definition at line 49 of file CovarianceSampling.h.

template<typename T >

typedef Parametrizable::ParametersDoc CovarianceSamplingDataPointsFilter< T >::ParametersDoc

The documentation of all parameters.

Reimplemented from PointMatcherSupport::Parametrizable.

Definition at line 51 of file CovarianceSampling.h.

template<typename T >

typedef PointMatcherSupport::Parametrizable CovarianceSamplingDataPointsFilter< T >::Parametrizable

Definition at line 47 of file CovarianceSampling.h.

template<typename T >

typedef PointMatcher<T> CovarianceSamplingDataPointsFilter< T >::PM

Definition at line 43 of file CovarianceSampling.h.

template<typename T >

typedef PointMatcher<T>::Vector CovarianceSamplingDataPointsFilter< T >::Vector

Definition at line 58 of file CovarianceSampling.h.

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Member Enumeration Documentation

template<typename T >

enum CovarianceSamplingDataPointsFilter::TorqueNormMethod

Enumerator:

L1
Lavg
Lmax

Definition at line 78 of file CovarianceSampling.h.

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Constructor & Destructor Documentation

template<typename T >

CovarianceSamplingDataPointsFilter< T >::CovarianceSamplingDataPointsFilter

(

const Parameters &

params = Parameters()

)

Definition at line 48 of file CovarianceSampling.cpp.

template<typename T >

virtual CovarianceSamplingDataPointsFilter< T >::~CovarianceSamplingDataPointsFilter

(

)

[inline, virtual]

Definition at line 88 of file CovarianceSampling.h.

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Member Function Documentation

template<typename T >

static const ParametersDoc CovarianceSamplingDataPointsFilter< T >::availableParameters

(

)

[inline, static]

Definition at line 70 of file CovarianceSampling.h.

template<typename T >

static T CovarianceSamplingDataPointsFilter< T >::computeConditionNumber

(

const Matrix66 &

cov

)

[static]

template<typename T >

static const std::string CovarianceSamplingDataPointsFilter< T >::description

(

)

[inline, static]

Definition at line 65 of file CovarianceSampling.h.

template<typename T >

virtual DataPoints CovarianceSamplingDataPointsFilter< T >::filter

(

const DataPoints &

input

)

[virtual]

Apply filters to input point cloud. This is the non-destructive version and returns a copy.

Implements PointMatcher< T >::DataPointsFilter.

template<typename T >

virtual void CovarianceSamplingDataPointsFilter< T >::inPlaceFilter

(

DataPoints &

cloud

)

[virtual]

Apply these filters to a point cloud without copying.

Implements PointMatcher< T >::DataPointsFilter.

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Member Data Documentation

template<typename T >

std::size_t CovarianceSamplingDataPointsFilter< T >::nbSample

Definition at line 80 of file CovarianceSampling.h.

template<typename T >

TorqueNormMethod CovarianceSamplingDataPointsFilter< T >::normalizationMethod

Definition at line 81 of file CovarianceSampling.h.

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

• CovarianceSampling.h
• CovarianceSampling.cpp