Ponca::MeanNormal< DataPoint, _WFunctor, T > Class Template Reference

Compute the barycenter of the input points + their normals. More...

#include <mean.h>

Inheritance diagram for Ponca::MeanNormal< DataPoint, _WFunctor, T >:

Collaboration diagram for Ponca::MeanNormal< DataPoint, _WFunctor, T >:

Public Types
using	Scalar = typename DataPoint::Scalar
	Alias to scalar type.
using	VectorType = typename Base::VectorType
	Alias to vector type.
using	WFunctor = typename Base::WFunctor
	Alias to weight function.

Public Member Functions
MeanNormal< DataPoint, _WFunctor, T > &	meanNormal ()
	Explicit conversion to MeanNormal , to access methods potentially hidden by heritage.
const MeanNormal< DataPoint, _WFunctor, T > &	meanNormal () const
	Explicit conversion to MeanNormal , to access methods potentially hidden by heritage.
void	init (const VectorType &_evalPos)
	Set the evaluation position and reset the internal states.
bool	addLocalNeighbor (Scalar w, const VectorType &localQ, const DataPoint &attributes)
	Add a neighbor to perform the fit.
VectorType	meanNormalVector () const
	Mean of the normals of the input points.

Protected Types
enum	{ PROVIDES_MEAN_NORMAL }
using	Base = T
	Base class of the procedure.

Protected Attributes
VectorType	m_sumN
	Sum of the normal vectors.

Detailed Description

template<class DataPoint, class _WFunctor, typename T>
class Ponca::MeanNormal< DataPoint, _WFunctor, T >

Compute the barycenter of the input points + their normals.

Warning

The barycenter is not stored explicitly, but rather computed from the sum of the neighbors positions and normals.

This primitive provides:

PROVIDES_MEAN_NORMAL 

See also

MeanPosition

Note

This class should not derive from MeanPosition, as we might want to compute mean normals but without mean positions. This is done this way currently, because we do not want to duplicate the weighting functor, which is currently stored in MeanPosition.

Definition at line 65 of file mean.h.

Member Typedef Documentation

Base

template<class DataPoint , class _WFunctor , typename T >

using Ponca::MeanNormal< DataPoint, _WFunctor, T >::Base = T

protected

Base class of the procedure.

Definition at line 66 of file mean.h.

Scalar

template<class DataPoint , class _WFunctor , typename T >

using Ponca::MeanNormal< DataPoint, _WFunctor, T >::Scalar = typename DataPoint::Scalar

Alias to scalar type.

Definition at line 66 of file mean.h.

VectorType

template<class DataPoint , class _WFunctor , typename T >

using Ponca::MeanNormal< DataPoint, _WFunctor, T >::VectorType = typename Base::VectorType

Alias to vector type.

Definition at line 66 of file mean.h.

WFunctor

template<class DataPoint , class _WFunctor , typename T >

using Ponca::MeanNormal< DataPoint, _WFunctor, T >::WFunctor = typename Base::WFunctor

Alias to weight function.

Definition at line 66 of file mean.h.

Member Enumeration Documentation

anonymous enum

template<class DataPoint , class _WFunctor , typename T >

anonymous enum

protected

Definition at line 69 of file mean.h.

Member Function Documentation

addLocalNeighbor()

template<class DataPoint , class _WFunctor , typename T >

bool MeanNormal::addLocalNeighbor ( Scalar  w, const VectorType &  localQ, const DataPoint &  attributes  )

inline

Add a neighbor to perform the fit.

Returns

false if param nei is not a valid neighbour (weight = 0)

Definition at line 40 of file mean.hpp.

init()

template<class DataPoint , class _WFunctor , typename T >

void MeanNormal::init ( const VectorType &  _evalPos )

inline

Set the evaluation position and reset the internal states.

Warning

Must be called be for any computation (but after #setWeightFunc)

Definition at line 31 of file mean.hpp.

meanNormal() [1/2]

template<class DataPoint , class _WFunctor , typename T >

MeanNormal< DataPoint, _WFunctor, T > & Ponca::MeanNormal< DataPoint, _WFunctor, T >::meanNormal ( )

inline

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

Definition at line 73 of file mean.h.

meanNormal() [2/2]

template<class DataPoint , class _WFunctor , typename T >

const MeanNormal< DataPoint, _WFunctor, T > & Ponca::MeanNormal< DataPoint, _WFunctor, T >::meanNormal ( ) const

inline

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

Definition at line 73 of file mean.h.

meanNormalVector()

template<class DataPoint , class _WFunctor , typename T >

VectorType Ponca::MeanNormal< DataPoint, _WFunctor, T >::meanNormalVector ( ) const

inline

Mean of the normals of the input points.

Defined as \( n(\mathbf{x}) = \frac{\sum_i w_\mathbf{x}(\mathbf{p_i}) \mathbf{n_i}}{\sum_i w_\mathbf{x}(\mathbf{p_i})} \), where \(\left[\mathbf{p_i}, \mathbf{n_i} \in \text{neighborhood}(\mathbf{x})\right]\) are all the point and normal samples in \(\mathbf{x}\)'s neighborhood

Definition at line 81 of file mean.h.

Member Data Documentation

m_sumN

template<class DataPoint , class _WFunctor , typename T >

VectorType Ponca::MeanNormal< DataPoint, _WFunctor, T >::m_sumN

protected

Sum of the normal vectors.

Definition at line 70 of file mean.h.