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

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

#include <mean.h>

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

Collaboration diagram for Ponca::MeanNormal< DataPoint, _NFilter, 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.

Public Member Functions
MeanNormal< DataPoint, _NFilter, T > &	meanNormal ()
	Explicit conversion to MeanNormal , to access methods potentially hidden by heritage.
const MeanNormal< DataPoint, _NFilter, T > &	meanNormal () const
	Explicit conversion to MeanNormal , to access methods potentially hidden by heritage.
void	init ()
	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 {VectorType::Zero()}
	Sum of the normal vectors.

Detailed Description

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

Compute the mean normal of the input points.

Warning

The mean normal is not stored explicitly, but rather computed from the sum of the neighbors normals.

This primitive provides:

PROVIDES_MEAN_NORMAL 

See also

MeanNormalDer

Definition at line 79 of file mean.h.

Member Typedef Documentation

Base

template<class DataPoint , class _NFilter , typename T >

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

protected

Base class of the procedure.

Definition at line 80 of file mean.h.

NeighborFilter

template<class DataPoint , class _NFilter , typename T >

using Ponca::MeanNormal< DataPoint, _NFilter, T >::NeighborFilter = typename Base::NeighborFilter

Alias to the filter applied on the neighbors.

Definition at line 80 of file mean.h.

Scalar

template<class DataPoint , class _NFilter , typename T >

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

Alias to scalar type.

Definition at line 80 of file mean.h.

VectorType

template<class DataPoint , class _NFilter , typename T >

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

Alias to vector type.

Definition at line 80 of file mean.h.

Member Enumeration Documentation

anonymous enum

template<class DataPoint , class _NFilter , typename T >

anonymous enum

protected

Definition at line 83 of file mean.h.

Member Function Documentation

addLocalNeighbor()

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

void MeanNormal::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 31 of file mean.hpp.

meanNormal() [1/2]

template<class DataPoint , class _NFilter , typename T >

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

inline

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

Definition at line 87 of file mean.h.

meanNormal() [2/2]

template<class DataPoint , class _NFilter , typename T >

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

inline

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

Definition at line 87 of file mean.h.

meanNormalVector()

template<class DataPoint , class _NFilter , typename T >

VectorType Ponca::MeanNormal< DataPoint, _NFilter, 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 95 of file mean.h.

Member Data Documentation

m_sumN

template<class DataPoint , class _NFilter , typename T >

VectorType Ponca::MeanNormal< DataPoint, _NFilter, T >::m_sumN {VectorType::Zero()}

protected

Sum of the normal vectors.

Definition at line 84 of file mean.h.