MeanNormalDer< DataPoint, _NFilter, DiffType, T > Class Template Reference

Compute the derivatives of the input points mean normal. More...

#include <mean.h>

Inheritance diagram for MeanNormalDer< DataPoint, _NFilter, DiffType, T >:

Collaboration diagram for MeanNormalDer< DataPoint, _NFilter, DiffType, T >:

Public Types
using	Scalar = typename DataPoint::Scalar
	Alias to scalar type.
using	VectorType = typename Base::VectorType
	Alias to vector type.
using	NeighborFilter = typename Base::NeighborFilter
	Alias to the filter applied on the neighbors.
using	ScalarArray = typename Base::ScalarArray
	Alias to scalar derivatives array.
using	VectorArray = typename Base::VectorArray
	Alias to vector derivatives array.

Public Member Functions
MeanNormalDer< DataPoint, _NFilter, DiffType, T > &	meanNormalDer ()
	Explicit conversion to MeanNormalDer , to access methods potentially hidden by heritage.
const MeanNormalDer< DataPoint, _NFilter, DiffType, T > &	meanNormalDer () const
	Explicit conversion to MeanNormalDer , to access methods potentially hidden by heritage.
void	init ()
	Set the evaluation position and reset the internal states.
void	addLocalNeighbor (Scalar w, const VectorType &localQ, const DataPoint &attributes, ScalarArray &dw)
	Add a neighbor to perform the fit.

Protected Types
enum	{ Check = Base::PROVIDES_PRIMITIVE_DERIVATIVE && Base::PROVIDES_MEAN_NORMAL , PROVIDES_MEAN_NORMAL_DERIVATIVE }
using	Base = T
	Base class of the procedure.

Protected Attributes
VectorArray	m_dSumN {VectorArray::Zero()}
	Derivatives of the input normals of the input points vectors.

Detailed Description

template<class DataPoint, class _NFilter, int DiffType, typename T>
class MeanNormalDer< DataPoint, _NFilter, DiffType, T >

Compute the derivatives of the input points mean normal.

This primitive requires:

PROVIDES_PRIMITIVE_DERIVATIVE, PROVIDES_MEAN_NORMAL

This primitive provides:

PROVIDES_MEAN_NORMAL_DERIVATIVE 

See also

MeanNormal

Definition at line 192 of file mean.h.

Member Typedef Documentation

Base

template<class DataPoint , class _NFilter , int DiffType, typename T >

using MeanNormalDer< DataPoint, _NFilter, DiffType, T >::Base = T

protected

Base class of the procedure.

Definition at line 194 of file mean.h.

NeighborFilter

template<class DataPoint , class _NFilter , int DiffType, typename T >

using MeanNormalDer< DataPoint, _NFilter, DiffType, T >::NeighborFilter = typename Base::NeighborFilter

Alias to the filter applied on the neighbors.

Definition at line 194 of file mean.h.

Scalar

template<class DataPoint , class _NFilter , int DiffType, typename T >

using MeanNormalDer< DataPoint, _NFilter, DiffType, T >::Scalar = typename DataPoint::Scalar

Alias to scalar type.

Definition at line 194 of file mean.h.

ScalarArray

template<class DataPoint , class _NFilter , int DiffType, typename T >

using MeanNormalDer< DataPoint, _NFilter, DiffType, T >::ScalarArray = typename Base::ScalarArray

Alias to scalar derivatives array.

Definition at line 195 of file mean.h.

VectorArray

template<class DataPoint , class _NFilter , int DiffType, typename T >

using MeanNormalDer< DataPoint, _NFilter, DiffType, T >::VectorArray = typename Base::VectorArray

Alias to vector derivatives array.

Definition at line 195 of file mean.h.

VectorType

template<class DataPoint , class _NFilter , int DiffType, typename T >

using MeanNormalDer< DataPoint, _NFilter, DiffType, T >::VectorType = typename Base::VectorType

Alias to vector type.

Definition at line 194 of file mean.h.

Member Enumeration Documentation

anonymous enum

template<class DataPoint , class _NFilter , int DiffType, typename T >

anonymous enum

protected

Enumerator
PROVIDES_MEAN_NORMAL_DERIVATIVE	Provides derivative of the mean normal.

Definition at line 198 of file mean.h.

Member Function Documentation

addLocalNeighbor()

template<class DataPoint , class _NFilter , int DiffType, typename T >

void MeanNormalDer< DataPoint, _NFilter, DiffType, T >::addLocalNeighbor ( Scalar  w, const VectorType &  localQ, const DataPoint &  attributes, ScalarArray &  dw  )

inline

Add a neighbor to perform the fit.

Definition at line 63 of file mean.hpp.

init()

template<class DataPoint , class _NFilter , int DiffType, typename T >

void MeanNormalDer< DataPoint, _NFilter, DiffType, T >::init ( )

inline

Set the evaluation position and reset the internal states.

Warning

Must be called be for any computation (but * after #setNeighborFilter)

Definition at line 56 of file mean.hpp.

meanNormalDer() [1/2]

template<class DataPoint , class _NFilter , int DiffType, typename T >

MeanNormalDer< DataPoint, _NFilter, DiffType, T > & MeanNormalDer< DataPoint, _NFilter, DiffType, T >::meanNormalDer ( )

inline

Explicit conversion to MeanNormalDer , to access methods potentially hidden by heritage.

Definition at line 208 of file mean.h.

meanNormalDer() [2/2]

template<class DataPoint , class _NFilter , int DiffType, typename T >

const MeanNormalDer< DataPoint, _NFilter, DiffType, T > & MeanNormalDer< DataPoint, _NFilter, DiffType, T >::meanNormalDer ( ) const

inline

Explicit conversion to MeanNormalDer , to access methods potentially hidden by heritage.

Definition at line 208 of file mean.h.

Member Data Documentation

m_dSumN

template<class DataPoint , class _NFilter , int DiffType, typename T >

VectorArray MeanNormalDer< DataPoint, _NFilter, DiffType, T >::m_dSumN {VectorArray::Zero()}

protected

Derivatives of the input normals of the input points vectors.

Definition at line 205 of file mean.h.