NormalSpaceSampling samples the input point cloud in the space of normal directions computed at every point. More...

#include <pcl/filters/normal_space.h>

Inheritance diagram for pcl::NormalSpaceSampling< PointT, NormalT >:

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Collaboration diagram for pcl::NormalSpaceSampling< PointT, NormalT >:

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List of all members.

Public Types
typedef boost::shared_ptr < Filter< PointT > >	Ptr
typedef boost::shared_ptr < const Filter< PointT > >	ConstPtr
typedef PointIndices::Ptr	PointIndicesPtr
typedef PointIndices::ConstPtr	PointIndicesConstPtr
Public Member Functions
	NormalSpaceSampling ()
	Empty constructor.
void	setSample (unsigned int sample)
	Set number of indices to be sampled.
unsigned int	getSample () const
	Get the value of the internal sample parameter.
void	setSeed (unsigned int seed)
	Set seed of random function.
unsigned int	getSeed () const
	Get the value of the internal seed parameter.
void	setBins (unsigned int binsx, unsigned int binsy, unsigned int binsz)
	Set the number of bins in x, y and z direction.
void	getBins (unsigned int &binsx, unsigned int &binsy, unsigned int &binsz) const
	Get the number of bins in x, y and z direction.
void	setNormals (const NormalsPtr &normals)
	Set the normals computed on the input point cloud.
NormalsPtr	getNormals () const
	Get the normals computed on the input point cloud.
void	filter (PointCloud &output)
	Calls the filtering method and returns the filtered dataset in output.
void	filter (std::vector< int > &indices)
	Calls the filtering method and returns the filtered point cloud indices.
void	setNegative (bool negative)
	Set whether the regular conditions for points filtering should apply, or the inverted conditions.
bool	getNegative ()
	Get whether the regular conditions for points filtering should apply, or the inverted conditions.
void	setKeepOrganized (bool keep_organized)
	Set whether the filtered points should be kept and set to the value given through setUserFilterValue (default: NaN), or removed from the PointCloud, thus potentially breaking its organized structure.
bool	getKeepOrganized ()
	Get whether the filtered points should be kept and set to the value given through setUserFilterValue (default = NaN), or removed from the PointCloud, thus potentially breaking its organized structure.
void	setUserFilterValue (float value)
	Provide a value that the filtered points should be set to instead of removing them.
IndicesConstPtr const	getRemovedIndices ()
	Get the point indices being removed.
virtual void	setInputCloud (const PointCloudConstPtr &cloud)
	Provide a pointer to the input dataset.
PointCloudConstPtr const	getInputCloud ()
	Get a pointer to the input point cloud dataset.
void	setIndices (const IndicesPtr &indices)
	Provide a pointer to the vector of indices that represents the input data.
void	setIndices (const IndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data.
void	setIndices (const PointIndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data.
void	setIndices (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols)
	Set the indices for the points laying within an interest region of the point cloud.
IndicesPtr const	getIndices ()
	Get a pointer to the vector of indices used.
const PointT &	operator[] (size_t pos)
	Override PointCloud operator[] to shorten code.

Detailed Description

template<typename PointT, typename NormalT>
class pcl::NormalSpaceSampling< PointT, NormalT >

NormalSpaceSampling samples the input point cloud in the space of normal directions computed at every point.

Definition at line 53 of file normal_space.h.

Member Typedef Documentation

template<typename PointT>

typedef boost::shared_ptr< const Filter<PointT> > pcl::Filter< PointT >::ConstPtr [inherited]

Definition at line 76 of file filter.h.

template<typename PointT>

typedef PointIndices::ConstPtr pcl::PCLBase< PointT >::PointIndicesConstPtr [inherited]

Reimplemented in pcl::EuclideanClusterExtraction< PointT >, pcl::ExtractPolygonalPrismData< PointT >, pcl::SegmentDifferences< PointT >, pcl::LabeledEuclideanClusterExtraction< PointT >, pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT >, and pcl::PCA< PointT >.

Definition at line 79 of file pcl_base.h.

template<typename PointT>

typedef PointIndices::Ptr pcl::PCLBase< PointT >::PointIndicesPtr [inherited]

Reimplemented in pcl::EuclideanClusterExtraction< PointT >, pcl::ExtractPolygonalPrismData< PointT >, pcl::SegmentDifferences< PointT >, pcl::LabeledEuclideanClusterExtraction< PointT >, pcl::SampleConsensusInitialAlignment< PointSource, PointTarget, FeatureT >, and pcl::PCA< PointT >.

Definition at line 78 of file pcl_base.h.

template<typename PointT>

typedef boost::shared_ptr< Filter<PointT> > pcl::Filter< PointT >::Ptr [inherited]

Definition at line 75 of file filter.h.

Constructor & Destructor Documentation

template<typename PointT , typename NormalT >

pcl::NormalSpaceSampling< PointT, NormalT >::NormalSpaceSampling ( ) [inline]

Empty constructor.

Definition at line 67 of file normal_space.h.

Member Function Documentation

template<typename PointT>

void pcl::FilterIndices< PointT >::filter ( PointCloud & output ) [inline, inherited]

Calls the filtering method and returns the filtered dataset in output.

Parameters:

[out] output the resultant filtered point cloud dataset

Reimplemented from pcl::Filter< PointT >.

Definition at line 92 of file filter_indices.h.

template<typename PointT>

void pcl::FilterIndices< PointT >::filter ( std::vector< int > & indices ) [inline, inherited]

Calls the filtering method and returns the filtered point cloud indices.

Parameters:

[out] indices the resultant filtered point cloud indices

Definition at line 101 of file filter_indices.h.

template<typename PointT , typename NormalT >

void pcl::NormalSpaceSampling< PointT, NormalT >::getBins	(	unsigned int &	binsx,
		unsigned int &	binsy,
		unsigned int &	binsz
	)		const `[inline]`

Get the number of bins in x, y and z direction.

Parameters:

[out]	binsx	number of bins in x direction
[out]	binsy	number of bins in y direction
[out]	binsz	number of bins in z direction

Definition at line 124 of file normal_space.h.

template<typename PointT>

IndicesPtr const pcl::PCLBase< PointT >::getIndices ( ) [inline, inherited]

Get a pointer to the vector of indices used.

Definition at line 190 of file pcl_base.h.

template<typename PointT>

PointCloudConstPtr const pcl::PCLBase< PointT >::getInputCloud ( ) [inline, inherited]

Get a pointer to the input point cloud dataset.

Definition at line 107 of file pcl_base.h.

template<typename PointT>

bool pcl::FilterIndices< PointT >::getKeepOrganized ( ) [inline, inherited]

Get whether the filtered points should be kept and set to the value given through setUserFilterValue (default = NaN), or removed from the PointCloud, thus potentially breaking its organized structure.

Returns:: The value of the internal keep_organized_ parameter; false = remove points (default), true = redefine points, keep structure.

Definition at line 145 of file filter_indices.h.

template<typename PointT>

bool pcl::FilterIndices< PointT >::getNegative ( ) [inline, inherited]

Get whether the regular conditions for points filtering should apply, or the inverted conditions.

Returns:: The value of the internal negative_ parameter; false = normal filter behavior (default), true = inverted behavior.

Definition at line 125 of file filter_indices.h.

template<typename PointT , typename NormalT >

NormalsPtr pcl::NormalSpaceSampling< PointT, NormalT >::getNormals ( ) const [inline]

Get the normals computed on the input point cloud.

Definition at line 139 of file normal_space.h.

template<typename PointT>

IndicesConstPtr const pcl::FilterIndices< PointT >::getRemovedIndices ( ) [inline, inherited]

Get the point indices being removed.

Returns:: The value of the internal negative_ parameter; false = normal filter behavior (default), true = inverted behavior.

Reimplemented from pcl::Filter< PointT >.

Definition at line 164 of file filter_indices.h.

template<typename PointT , typename NormalT >

unsigned int pcl::NormalSpaceSampling< PointT, NormalT >::getSample ( ) const [inline]

Get the value of the internal sample parameter.

Definition at line 84 of file normal_space.h.

template<typename PointT , typename NormalT >

unsigned int pcl::NormalSpaceSampling< PointT, NormalT >::getSeed ( ) const [inline]

Get the value of the internal seed parameter.

Definition at line 100 of file normal_space.h.

template<typename PointT>

const PointT& pcl::PCLBase< PointT >::operator[] ( size_t pos ) [inline, inherited]

Override PointCloud operator[] to shorten code.

Note:: this method can be called instead of (*input_)[(*indices_)[pos]] or input_->points[(*indices_)[pos]]

Parameters:

pos	position in indices_ vector

Definition at line 197 of file pcl_base.h.

template<typename PointT , typename NormalT >

void pcl::NormalSpaceSampling< PointT, NormalT >::setBins	(	unsigned int	binsx,
		unsigned int	binsy,
		unsigned int	binsz
	)		`[inline]`

Set the number of bins in x, y and z direction.

Parameters:

[in]	binsx	number of bins in x direction
[in]	binsy	number of bins in y direction
[in]	binsz	number of bins in z direction

Definition at line 111 of file normal_space.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices ( const IndicesPtr & indices ) [inline, inherited]

Provide a pointer to the vector of indices that represents the input data.

Parameters:

indices a pointer to the vector of indices that represents the input data.

Definition at line 113 of file pcl_base.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices ( const IndicesConstPtr & indices ) [inline, inherited]

Provide a pointer to the vector of indices that represents the input data.

Parameters:

indices a pointer to the vector of indices that represents the input data.

Definition at line 124 of file pcl_base.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices ( const PointIndicesConstPtr & indices ) [inline, inherited]

Provide a pointer to the vector of indices that represents the input data.

Parameters:

indices a pointer to the vector of indices that represents the input data.

Definition at line 135 of file pcl_base.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices	(	size_t	row_start,
		size_t	col_start,
		size_t	nb_rows,
		size_t	nb_cols
	)		`[inline, inherited]`

Set the indices for the points laying within an interest region of the point cloud.

Note:: you shouldn't call this method on unorganized point clouds!

Parameters:

row_start	the offset on rows
col_start	the offset on columns
nb_rows	the number of rows to be considered row_start included
nb_cols	the number of columns to be considered col_start included

Definition at line 151 of file pcl_base.h.

template<typename PointT>

virtual void pcl::PCLBase< PointT >::setInputCloud ( const PointCloudConstPtr & cloud ) [inline, virtual, inherited]

Provide a pointer to the input dataset.

Parameters:

cloud the const boost shared pointer to a PointCloud message

Reimplemented in pcl::PCA< PointT >.

Definition at line 103 of file pcl_base.h.

template<typename PointT>

void pcl::FilterIndices< PointT >::setKeepOrganized ( bool keep_organized ) [inline, inherited]

Set whether the filtered points should be kept and set to the value given through setUserFilterValue (default: NaN), or removed from the PointCloud, thus potentially breaking its organized structure.

Parameters:

[in] keep_organized false = remove points (default), true = redefine points, keep structure.

Definition at line 135 of file filter_indices.h.

template<typename PointT>

void pcl::FilterIndices< PointT >::setNegative ( bool negative ) [inline, inherited]

Set whether the regular conditions for points filtering should apply, or the inverted conditions.

Parameters:

[in] negative false = normal filter behavior (default), true = inverted behavior.

Definition at line 116 of file filter_indices.h.

template<typename PointT , typename NormalT >

void pcl::NormalSpaceSampling< PointT, NormalT >::setNormals ( const NormalsPtr & normals ) [inline]

Set the normals computed on the input point cloud.

Parameters:

[in] normals the normals computed for the input cloud

Definition at line 135 of file normal_space.h.

template<typename PointT , typename NormalT >

void pcl::NormalSpaceSampling< PointT, NormalT >::setSample ( unsigned int sample ) [inline]

Set number of indices to be sampled.

Parameters:

[in] sample the number of sample indices

Definition at line 77 of file normal_space.h.

template<typename PointT , typename NormalT >

void pcl::NormalSpaceSampling< PointT, NormalT >::setSeed ( unsigned int seed ) [inline]

Set seed of random function.

Parameters:

[in] seed the input seed

Definition at line 93 of file normal_space.h.

template<typename PointT>

void pcl::FilterIndices< PointT >::setUserFilterValue ( float value ) [inline, inherited]

Provide a value that the filtered points should be set to instead of removing them.

Used in conjunction with setKeepOrganized ().

Parameters:

[in] value the user given value that the filtered point dimensions should be set to (default = NaN).

Definition at line 155 of file filter_indices.h.

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

/usr/src/RPM/BUILD/PCL-1.6.0-Source/filters/include/pcl/filters/normal_space.h
/usr/src/RPM/BUILD/PCL-1.6.0-Source/filters/include/pcl/filters/impl/normal_space.hpp

Public Types

Public Member Functions

Detailed Description

template<typename PointT, typename NormalT> class pcl::NormalSpaceSampling< PointT, NormalT >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

template<typename PointT, typename NormalT>
class pcl::NormalSpaceSampling< PointT, NormalT >