PointCloud represents the base class in PCL for storing collections of 3D points. More...

#include <pcl/common/projection_matrix.h>

Public Types
typedef PointT	PointType

typedef std::vector< PointT, Eigen::aligned_allocator < PointT > >	VectorType

typedef std::vector < PointCloud< PointT > , Eigen::aligned_allocator < PointCloud< PointT > > >	CloudVectorType

typedef boost::shared_ptr < PointCloud< PointT > >	Ptr

typedef boost::shared_ptr < const PointCloud< PointT > >	ConstPtr

typedef PointT	value_type

typedef PointT &	reference

typedef const PointT &	const_reference

typedef VectorType::difference_type	difference_type

typedef VectorType::size_type	size_type

typedef VectorType::iterator	iterator

typedef VectorType::const_iterator	const_iterator

Public Member Functions
	PointCloud ()
	Default constructor. More...

	PointCloud (PointCloud< PointT > &pc)
	Copy constructor (needed by compilers such as Intel C++) More...

	PointCloud (const PointCloud< PointT > &pc)
	Copy constructor (needed by compilers such as Intel C++) More...

	PointCloud (const PointCloud< PointT > &pc, const std::vector< int > &indices)
	Copy constructor from point cloud subset. More...

	PointCloud (uint32_t width_, uint32_t height_, const PointT &value_=PointT())
	Allocate constructor from point cloud subset. More...

virtual	~PointCloud ()
	Destructor. More...

PointCloud &	operator+= (const PointCloud &rhs)
	Add a point cloud to the current cloud. More...

const PointCloud	operator+ (const PointCloud &rhs)
	Add a point cloud to another cloud. More...

const PointT &	at (int column, int row) const
	Obtain the point given by the (column, row) coordinates. More...

PointT &	at (int column, int row)
	Obtain the point given by the (column, row) coordinates. More...

const PointT &	operator() (size_t column, size_t row) const
	Obtain the point given by the (column, row) coordinates. More...

PointT &	operator() (size_t column, size_t row)
	Obtain the point given by the (column, row) coordinates. More...

bool	isOrganized () const
	Return whether a dataset is organized (e.g., arranged in a structured grid). More...

Eigen::Map< Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> >	getMatrixXfMap (int dim, int stride, int offset)
	Return an Eigen MatrixXf (assumes float values) mapped to the specified dimensions of the PointCloud. More...

const Eigen::Map< const Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> >	getMatrixXfMap (int dim, int stride, int offset) const
	Return an Eigen MatrixXf (assumes float values) mapped to the specified dimensions of the PointCloud. More...

Eigen::Map< Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> >	getMatrixXfMap ()
	Return an Eigen MatrixXf (assumes float values) mapped to the PointCloud. More...

const Eigen::Map< const Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> >	getMatrixXfMap () const
	Return an Eigen MatrixXf (assumes float values) mapped to the PointCloud. More...

iterator	begin ()

iterator	end ()

const_iterator	begin () const

const_iterator	end () const

size_t	size () const

void	reserve (size_t n)

bool	empty () const

void	resize (size_t n)
	Resize the cloud. More...

const PointT &	operator[] (size_t n) const

PointT &	operator[] (size_t n)

const PointT &	at (size_t n) const

PointT &	at (size_t n)

const PointT &	front () const

PointT &	front ()

const PointT &	back () const

PointT &	back ()

void	push_back (const PointT &pt)
	Insert a new point in the cloud, at the end of the container. More...

iterator	insert (iterator position, const PointT &pt)
	Insert a new point in the cloud, given an iterator. More...

void	insert (iterator position, size_t n, const PointT &pt)
	Insert a new point in the cloud N times, given an iterator. More...

template<class InputIterator >
void	insert (iterator position, InputIterator first, InputIterator last)
	Insert a new range of points in the cloud, at a certain position. More...

iterator	erase (iterator position)
	Erase a point in the cloud. More...

iterator	erase (iterator first, iterator last)
	Erase a set of points given by a (first, last) iterator pair. More...

void	swap (PointCloud< PointT > &rhs)
	Swap a point cloud with another cloud. More...

void	clear ()
	Removes all points in a cloud and sets the width and height to 0. More...

Ptr	makeShared () const
	Copy the cloud to the heap and return a smart pointer Note that deep copy is performed, so avoid using this function on non-empty clouds. More...

Public Attributes
pcl::PCLHeader	header
	The point cloud header. More...

std::vector< PointT, Eigen::aligned_allocator < PointT > >	points
	The point data. More...

uint32_t	width
	The point cloud width (if organized as an image-structure). More...

uint32_t	height
	The point cloud height (if organized as an image-structure). More...

bool	is_dense
	True if no points are invalid (e.g., have NaN or Inf values). More...

Eigen::Vector4f	sensor_origin_
	Sensor acquisition pose (origin/translation). More...

Eigen::Quaternionf	sensor_orientation_
	Sensor acquisition pose (rotation). More...

Protected Attributes
boost::shared_ptr< MsgFieldMap >	mapping_

Friends
boost::shared_ptr< MsgFieldMap > &	detail::getMapping (pcl::PointCloud< PointT > &p)

Detailed Description

template<typename PointT>
singleton pcl::PointCloud< PointT >

PointCloud represents the base class in PCL for storing collections of 3D points.

The class is templated, which means you need to specify the type of data that it should contain. For example, to create a point cloud that holds 4 random XYZ data points, use:

pcl::PointCloud<pcl::PointXYZ> cloud;
cloud.push_back (pcl::PointXYZ (rand (), rand (), rand ())); 
cloud.push_back (pcl::PointXYZ (rand (), rand (), rand ())); 
cloud.push_back (pcl::PointXYZ (rand (), rand (), rand ())); 
cloud.push_back (pcl::PointXYZ (rand (), rand (), rand ())); 

The PointCloud class contains the following elements:

width - specifies the width of the point cloud dataset in the number of points. WIDTH has two meanings:
- it can specify the total number of points in the cloud (equal with POINTS see below) for unorganized datasets;
- it can specify the width (total number of points in a row) of an organized point cloud dataset. Mandatory.
height - specifies the height of the point cloud dataset in the number of points. HEIGHT has two meanings:
- it can specify the height (total number of rows) of an organized point cloud dataset;
- it is set to 1 for unorganized datasets (thus used to check whether a dataset is organized or not). Mandatory.
points - the data array where all points of type PointT are stored. Mandatory.
is_dense - specifies if all the data in points is finite (true), or whether it might contain Inf/NaN values (false). Mandatory.
sensor_origin_ - specifies the sensor acquisition pose (origin/translation). Optional.
sensor_orientation_ - specifies the sensor acquisition pose (rotation). Optional.

Author: Patrick Mihelich, Radu B. Rusu

Definition at line 53 of file projection_matrix.h.

Member Typedef Documentation

template<typename PointT>

typedef std::vector<PointCloud<PointT>, Eigen::aligned_allocator<PointCloud<PointT> > > pcl::PointCloud< PointT >::CloudVectorType

Definition at line 427 of file point_cloud.h.

template<typename PointT>

typedef VectorType::const_iterator pcl::PointCloud< PointT >::const_iterator

Definition at line 441 of file point_cloud.h.

template<typename PointT>

typedef const PointT& pcl::PointCloud< PointT >::const_reference

Definition at line 435 of file point_cloud.h.

template<typename PointT>

typedef boost::shared_ptr<const PointCloud<PointT> > pcl::PointCloud< PointT >::ConstPtr

Definition at line 429 of file point_cloud.h.

template<typename PointT>

typedef VectorType::difference_type pcl::PointCloud< PointT >::difference_type

Definition at line 436 of file point_cloud.h.

template<typename PointT>

typedef VectorType::iterator pcl::PointCloud< PointT >::iterator

Definition at line 440 of file point_cloud.h.

template<typename PointT>

typedef PointT pcl::PointCloud< PointT >::PointType

Definition at line 425 of file point_cloud.h.

template<typename PointT>

typedef boost::shared_ptr<PointCloud<PointT> > pcl::PointCloud< PointT >::Ptr

Definition at line 428 of file point_cloud.h.

template<typename PointT>

typedef PointT& pcl::PointCloud< PointT >::reference

Definition at line 434 of file point_cloud.h.

template<typename PointT>

typedef VectorType::size_type pcl::PointCloud< PointT >::size_type

Definition at line 437 of file point_cloud.h.

template<typename PointT>

typedef PointT pcl::PointCloud< PointT >::value_type

Definition at line 433 of file point_cloud.h.

template<typename PointT>

typedef std::vector<PointT, Eigen::aligned_allocator<PointT> > pcl::PointCloud< PointT >::VectorType

Definition at line 426 of file point_cloud.h.

Constructor & Destructor Documentation

template<typename PointT>

pcl::PointCloud< PointT >::PointCloud ( )

inline

Default constructor.

Sets is_dense to true, width and height to 0, and the sensor_origin_ and sensor_orientation_ to identity.

Definition at line 179 of file point_cloud.h.

template<typename PointT>

pcl::PointCloud< PointT >::PointCloud ( PointCloud< PointT > & pc )

inline

Copy constructor (needed by compilers such as Intel C++)

Parameters

[in] pc the cloud to copy into this

Definition at line 188 of file point_cloud.h.

template<typename PointT>

pcl::PointCloud< PointT >::PointCloud ( const PointCloud< PointT > & pc )

inline

Copy constructor (needed by compilers such as Intel C++)

Parameters

[in] pc the cloud to copy into this

Definition at line 199 of file point_cloud.h.

template<typename PointT>

pcl::PointCloud< PointT >::PointCloud	(	const PointCloud< PointT > &	pc,
		const std::vector< int > &	indices
	)

inline

Copy constructor from point cloud subset.

Parameters

[in]	pc	the cloud to copy into this
[in]	indices	the subset to copy

Definition at line 211 of file point_cloud.h.

template<typename PointT>

pcl::PointCloud< PointT >::PointCloud	(	uint32_t	width_,
		uint32_t	height_,
		const PointT &	value_ = `PointT ()`
	)

inline

Allocate constructor from point cloud subset.

Parameters

[in]	width_	the cloud width
[in]	height_	the cloud height
[in]	value_	default value

Definition at line 228 of file point_cloud.h.

template<typename PointT>

virtual pcl::PointCloud< PointT >::~PointCloud ( )

inlinevirtual

Destructor.

Definition at line 240 of file point_cloud.h.

Member Function Documentation

template<typename PointT>

const PointT& pcl::PointCloud< PointT >::at	(	int	column,
		int	row
	)		const

inline

Obtain the point given by the (column, row) coordinates.

Only works on organized datasets (those that have height != 1).

Parameters

[in]	column	the column coordinate
[in]	row	the row coordinate

Definition at line 283 of file point_cloud.h.

Referenced by pcl::FastBilateralFilterOMP< PointT >::applyFilter(), pcl::FrustumCulling< PointT >::applyFilter(), pcl::filters::Pyramid< PointT >::compute(), pcl::occlusion_reasoning::filter(), pcl::occlusion_reasoning::getOccludedCloud(), and pcl::PointCloudDepthAndRGBtoXYZRGBA().

template<typename PointT>

PointT& pcl::PointCloud< PointT >::at	(	int	column,
		int	row
	)

inline

Obtain the point given by the (column, row) coordinates.

Only works on organized datasets (those that have height != 1).

Parameters

[in]	column	the column coordinate
[in]	row	the row coordinate

Definition at line 297 of file point_cloud.h.

template<typename PointT>

const PointT& pcl::PointCloud< PointT >::at ( size_t n ) const

inline

Definition at line 468 of file point_cloud.h.

template<typename PointT>

PointT& pcl::PointCloud< PointT >::at ( size_t n )

inline

Definition at line 469 of file point_cloud.h.

template<typename PointT>

const PointT& pcl::PointCloud< PointT >::back ( ) const

inline

Definition at line 472 of file point_cloud.h.

Referenced by pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getEdgeIndex(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getFaceIndex(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getHalfEdgeIndex(), and pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getVertexIndex().

template<typename PointT>

PointT& pcl::PointCloud< PointT >::back ( )

inline

Definition at line 473 of file point_cloud.h.

template<typename PointT>

iterator pcl::PointCloud< PointT >::begin ( )

inline

Definition at line 442 of file point_cloud.h.

Referenced by pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::cleanUp(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::computeCovariances(), pcl::common::deleteCols(), pcl::common::deleteRows(), pcl::RangeImage::doZBuffer(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::extractDescriptors(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::SupervoxelClustering< PointT >::getLabeledCloud(), pcl::SupervoxelClustering< PointT >::getLabeledVoxelCloud(), pcl::SupervoxelClustering< PointT >::makeSupervoxelNormalCloud(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), pcl::MovingLeastSquares< PointInT, PointOutT >::performProcessing(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::refineCorners(), pcl::LCCPSegmentation< PointT >::relabelCloud(), pcl::registration::KFPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateTransformation(), and pcl::registration::FPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateTransformation().

template<typename PointT>

const_iterator pcl::PointCloud< PointT >::begin ( ) const

inline

Definition at line 444 of file point_cloud.h.

template<typename PointT>

void pcl::PointCloud< PointT >::clear ( )

inline

Removes all points in a cloud and sets the width and height to 0.

Definition at line 575 of file point_cloud.h.

Referenced by pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::approximatePolygon2D(), pcl::DisparityMapConverter< PointT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::TSDFVolume< VoxelT, WeightT >::convertToTsdfCloud(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::gpu::extractEuclideanClusters(), pcl::VoxelGridCovariance< PointT >::getDisplayCloud(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::SurfaceReconstruction< PointInT >::reconstruct(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseHarris(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseLowe(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseNoble(), and pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseTomasi().

template<typename PointT>

bool pcl::PointCloud< PointT >::empty ( ) const

inline

Definition at line 450 of file point_cloud.h.

Referenced by pcl::compute3DCentroid(), pcl::computeNDCentroid(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::PCDWriter::writeASCII(), and pcl::PCDWriter::writeBinary().

template<typename PointT>

iterator pcl::PointCloud< PointT >::end ( )

inline

Definition at line 443 of file point_cloud.h.

Referenced by pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::computeCovariances(), pcl::common::deleteRows(), pcl::RangeImage::doZBuffer(), pcl::common::duplicateRows(), pcl::common::expandRows(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::extractDescriptors(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::SupervoxelClustering< PointT >::getLabeledCloud(), pcl::SupervoxelClustering< PointT >::getLabeledVoxelCloud(), pcl::common::mirrorRows(), pcl::MovingLeastSquares< PointInT, PointOutT >::performProcessing(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::refineCorners(), pcl::LCCPSegmentation< PointT >::relabelCloud(), and pcl::registration::KFPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateTransformation().

template<typename PointT>

const_iterator pcl::PointCloud< PointT >::end ( ) const

inline

Definition at line 445 of file point_cloud.h.

template<typename PointT>

iterator pcl::PointCloud< PointT >::erase ( iterator position )

inline

Erase a point in the cloud.

Note: This breaks the organized structure of the cloud by setting the height to 1!

Parameters

[in] position what data point to erase

Returns: returns the new position iterator

Definition at line 536 of file point_cloud.h.

Referenced by pcl::common::deleteCols(), and pcl::common::deleteRows().

template<typename PointT>

iterator pcl::PointCloud< PointT >::erase	(	iterator	first,
		iterator	last
	)

inline

Erase a set of points given by a (first, last) iterator pair.

Note: This breaks the organized structure of the cloud by setting the height to 1!

Parameters

[in]	first	where to start erasing points from
[in]	last	where to stop erasing points from

Returns: returns the new position iterator

Definition at line 551 of file point_cloud.h.

template<typename PointT>

const PointT& pcl::PointCloud< PointT >::front ( ) const

inline

Definition at line 470 of file point_cloud.h.

Referenced by pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getEdgeIndex(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getFaceIndex(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getHalfEdgeIndex(), and pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::getVertexIndex().

template<typename PointT>

PointT& pcl::PointCloud< PointT >::front ( )

inline

Definition at line 471 of file point_cloud.h.

template<typename PointT>

Eigen::Map<Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< PointT >::getMatrixXfMap	(	int	dim,
		int	stride,
		int	offset
	)

inline

Return an Eigen MatrixXf (assumes float values) mapped to the specified dimensions of the PointCloud.

Note: This method is for advanced users only! Use with care!

Attention: Since 1.4.0, Eigen matrices are forced to Row Major to increase the efficiency of the algorithms in PCL This means that the behavior of getMatrixXfMap changed, and is now correctly mapping 1-1 with a PointCloud structure, that is: number of points in a cloud = rows in a matrix, number of point dimensions = columns in a matrix

Parameters

[in]	dim	the number of dimensions to consider for each point
[in]	stride	the number of values in each point (will be the number of values that separate two of the columns)
[in]	offset	the number of dimensions to skip from the beginning of each point (stride = offset + dim + x, where x is the number of dimensions to skip from the end of each point)

Note: for getting only XYZ coordinates out of PointXYZ use dim=3, stride=4 and offset=0 due to the alignment.

Attention: PointT types are most of the time aligned, so the offsets are not continuous!

Definition at line 352 of file point_cloud.h.

template<typename PointT>

const Eigen::Map<const Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< PointT >::getMatrixXfMap	(	int	dim,
		int	stride,
		int	offset
	)		const

inline

Return an Eigen MatrixXf (assumes float values) mapped to the specified dimensions of the PointCloud.

Note: This method is for advanced users only! Use with care!

Attention: Since 1.4.0, Eigen matrices are forced to Row Major to increase the efficiency of the algorithms in PCL This means that the behavior of getMatrixXfMap changed, and is now correctly mapping 1-1 with a PointCloud structure, that is: number of points in a cloud = rows in a matrix, number of point dimensions = columns in a matrix

Parameters

[in]	dim	the number of dimensions to consider for each point
[in]	stride	the number of values in each point (will be the number of values that separate two of the columns)
[in]	offset	the number of dimensions to skip from the beginning of each point (stride = offset + dim + x, where x is the number of dimensions to skip from the end of each point)

Note: for getting only XYZ coordinates out of PointXYZ use dim=3, stride=4 and offset=0 due to the alignment.

Attention: PointT types are most of the time aligned, so the offsets are not continuous!

Definition at line 376 of file point_cloud.h.

template<typename PointT>

Eigen::Map<Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< PointT >::getMatrixXfMap ( )

inline

Return an Eigen MatrixXf (assumes float values) mapped to the PointCloud.

Note: This method is for advanced users only! Use with care!

Attention: PointT types are most of the time aligned, so the offsets are not continuous! See getMatrixXfMap for more information.

Definition at line 390 of file point_cloud.h.

template<typename PointT>

const Eigen::Map<const Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< PointT >::getMatrixXfMap ( ) const

inline

Return an Eigen MatrixXf (assumes float values) mapped to the PointCloud.

Note: This method is for advanced users only! Use with care!

Attention: PointT types are most of the time aligned, so the offsets are not continuous! See getMatrixXfMap for more information.

Definition at line 401 of file point_cloud.h.

template<typename PointT>

iterator pcl::PointCloud< PointT >::insert	(	iterator	position,
		const PointT &	pt
	)

inline

Insert a new point in the cloud, given an iterator.

Note: This breaks the organized structure of the cloud by setting the height to 1!

Parameters

[in]	position	where to insert the point
[in]	pt	the point to insert

Returns: returns the new position iterator

Definition at line 494 of file point_cloud.h.

Referenced by pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), and pcl::MovingLeastSquares< PointInT, PointOutT >::performProcessing().

template<typename PointT>

void pcl::PointCloud< PointT >::insert	(	iterator	position,
		size_t	n,
		const PointT &	pt
	)

inline

Insert a new point in the cloud N times, given an iterator.

Note: This breaks the organized structure of the cloud by setting the height to 1!

Parameters

[in]	position	where to insert the point
[in]	n	the number of times to insert the point
[in]	pt	the point to insert

Definition at line 509 of file point_cloud.h.

template<typename PointT>

template<class InputIterator >

void pcl::PointCloud< PointT >::insert	(	iterator	position,
		InputIterator	first,
		InputIterator	last
	)

inline

Insert a new range of points in the cloud, at a certain position.

Note: This breaks the organized structure of the cloud by setting the height to 1!

Parameters

[in]	position	where to insert the data
[in]	first	where to start inserting the points from
[in]	last	where to stop inserting the points from

Definition at line 523 of file point_cloud.h.

template<typename PointT>

bool pcl::PointCloud< PointT >::isOrganized ( ) const

inline

Return whether a dataset is organized (e.g., arranged in a structured grid).

Note: The height value must be different than 1 for a dataset to be organized.

Definition at line 331 of file point_cloud.h.

Referenced by pcl::visualization::ImageViewer::addMask(), pcl::HypothesisVerification< ModelT, SceneT >::addModels(), pcl::visualization::ImageViewer::addPlanarPolygon(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::ImageViewer::addRectangle(), pcl::common::deleteCols(), pcl::common::duplicateColumns(), pcl::common::expandColumns(), pcl::io::PointCloudImageExtractor< PointT >::extract(), pcl::common::mirrorColumns(), and pcl::PCDGrabber< PointT >::publish().

template<typename PointT>

Ptr pcl::PointCloud< PointT >::makeShared ( ) const

inline

Copy the cloud to the heap and return a smart pointer Note that deep copy is performed, so avoid using this function on non-empty clouds.

The changes of the returned cloud are not mirrored back to this one.

Returns: shared pointer to the copy of the cloud

Definition at line 588 of file point_cloud.h.

Referenced by pcl::Edge< PointInT, PointOutT >::canny(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::estimateFeatures(), pcl::PCA< PointT >::PCA(), and pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection().

template<typename PointT>

const PointT& pcl::PointCloud< PointT >::operator()	(	size_t	column,
		size_t	row
	)		const

inline

Obtain the point given by the (column, row) coordinates.

Only works on organized datasets (those that have height != 1).

Parameters

[in]	column	the column coordinate
[in]	row	the row coordinate

Definition at line 311 of file point_cloud.h.

template<typename PointT>

PointT& pcl::PointCloud< PointT >::operator()	(	size_t	column,
		size_t	row
	)

inline

Obtain the point given by the (column, row) coordinates.

Only works on organized datasets (those that have height != 1).

Parameters

[in]	column	the column coordinate
[in]	row	the row coordinate

Definition at line 322 of file point_cloud.h.

template<typename PointT>

const PointCloud pcl::PointCloud< PointT >::operator+ ( const PointCloud< PointT > & rhs )

inline

Add a point cloud to another cloud.

Parameters

[in] rhs the cloud to add to the current cloud

Returns: the new cloud as a concatenation of the current cloud and the new given cloud

Definition at line 272 of file point_cloud.h.

template<typename PointT>

PointCloud& pcl::PointCloud< PointT >::operator+= ( const PointCloud< PointT > & rhs )

inline

Add a point cloud to the current cloud.

Parameters

[in] rhs the cloud to add to the current cloud

Returns: the new cloud as a concatenation of the current cloud and the new given cloud

Definition at line 247 of file point_cloud.h.

template<typename PointT>

const PointT& pcl::PointCloud< PointT >::operator[] ( size_t n ) const

inline

Definition at line 466 of file point_cloud.h.

template<typename PointT>

PointT& pcl::PointCloud< PointT >::operator[] ( size_t n )

inline

Definition at line 467 of file point_cloud.h.

template<typename PointT>

void pcl::PointCloud< PointT >::push_back ( const PointT & pt )

inline

Insert a new point in the cloud, at the end of the container.

Note: This breaks the organized structure of the cloud by setting the height to 1!

Parameters

[in] pt the point to insert

Definition at line 480 of file point_cloud.h.

Referenced by pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::addData(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::approximatePolygon2D(), pcl::MovingLeastSquares< PointInT, PointOutT >::computeMLSPointNormal(), pcl::TSDFVolume< VoxelT, WeightT >::convertToTsdfCloud(), pcl::MarchingCubes< PointNT >::createSurface(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::gpu::extractEuclideanClusters(), pcl::gpu::extractLabeledEuclideanClusters(), pcl::VoxelGridCovariance< PointT >::getDisplayCloud(), pcl::MovingLeastSquares< PointInT, PointOutT >::performUpsampling(), pcl::PCA< PointT >::project(), pcl::PCA< PointT >::reconstruct(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), and pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track().

template<typename PointT>

void pcl::PointCloud< PointT >::reserve ( size_t n )

inline

Definition at line 449 of file point_cloud.h.

Referenced by pcl::approximatePolygon2D(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::computeTracking(), pcl::TSDFVolume< VoxelT, WeightT >::convertToTsdfCloud(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), and pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack().

template<typename PointT>

void pcl::PointCloud< PointT >::resize ( size_t n )

inline

Resize the cloud.

Parameters

[in] n the new cloud size

Definition at line 455 of file point_cloud.h.

template<typename PointT>

size_t pcl::PointCloud< PointT >::size ( ) const

inline

Definition at line 448 of file point_cloud.h.

template<typename PointT>

void pcl::PointCloud< PointT >::swap ( PointCloud< PointT > & rhs )

inline

Swap a point cloud with another cloud.

Parameters

[in,out] rhs point cloud to swap this with

Definition at line 563 of file point_cloud.h.

Friends And Related Function Documentation

template<typename PointT>

boost::shared_ptr<MsgFieldMap>& detail::getMapping ( pcl::PointCloud< PointT > & p )

friend

Member Data Documentation

template<typename PointT>

pcl::PCLHeader pcl::PointCloud< PointT >::header

The point cloud header.

It contains information about the acquisition time.

Definition at line 407 of file point_cloud.h.

Referenced by pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::CovarianceSampling< PointT, PointNT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::ESFEstimation< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::features::computeApproximateNormals(), pcl::concatenateFields(), pcl::copyPointCloud(), pcl::demeanPointCloud(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::extractEuclideanClusters(), pcl::extractLabeledEuclideanClusters(), pcl::Filter< pcl::PointXYZRGBL >::filter(), pcl::fromPCLPointCloud2(), pcl::getPointCloudDifference(), pcl::PointCloud< ModelT >::operator+=(), pcl::operator<<(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::SampleConsensusModelCircle2D< PointT >::projectPoints(), pcl::SampleConsensusModelCircle3D< PointT >::projectPoints(), pcl::SampleConsensusModelSphere< PointT >::projectPoints(), pcl::SampleConsensusModelCylinder< PointT, PointNT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelCone< PointT, PointNT >::projectPoints(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::SurfaceReconstruction< PointInT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::SegmentDifferences< PointT >::segment(), pcl::toPCLPointCloud2(), pcl::transformPointCloud(), and pcl::transformPointCloudWithNormals().

template<typename PointT>

uint32_t pcl::PointCloud< PointT >::height

The point cloud height (if organized as an image-structure).

Definition at line 415 of file point_cloud.h.

template<typename PointT>

bool pcl::PointCloud< PointT >::is_dense

True if no points are invalid (e.g., have NaN or Inf values).

Definition at line 418 of file point_cloud.h.

template<typename PointT>

boost::shared_ptr<MsgFieldMap> pcl::PointCloud< PointT >::mapping_

protected

Definition at line 592 of file point_cloud.h.

Referenced by pcl::detail::getMapping().

template<typename PointT>

std::vector<PointT, Eigen::aligned_allocator<PointT> > pcl::PointCloud< PointT >::points

The point data.

Definition at line 410 of file point_cloud.h.

template<typename PointT>

Eigen::Quaternionf pcl::PointCloud< PointT >::sensor_orientation_

Sensor acquisition pose (rotation).

Definition at line 423 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addCorrespondences(), pcl::visualization::PCLVisualizer::addPointCloud(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::copyPointCloud(), pcl::Filter< pcl::PointXYZRGBL >::filter(), pcl::PCDWriter::generateHeader(), pcl::operator<<(), pcl::PCDGrabber< PointT >::operator[](), pcl::ImageGrabber< PointT >::operator[](), pcl::StereoGrabber< PointT >::publish(), pcl::PCDGrabber< PointT >::publish(), pcl::ImageGrabber< PointT >::publish(), pcl::IFSReader::read(), pcl::FileReader::read(), pcl::PLYReader::read(), pcl::PCDReader::read(), pcl::io::LZFDepth16ImageReader::read(), pcl::OBJReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::PointCloud< ModelT >::swap(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::FileWriter::write(), and pcl::PLYWriter::write().

template<typename PointT>

Eigen::Vector4f pcl::PointCloud< PointT >::sensor_origin_

Sensor acquisition pose (origin/translation).

Definition at line 421 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addCorrespondences(), pcl::visualization::PCLVisualizer::addPointCloud(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::copyPointCloud(), pcl::Filter< pcl::PointXYZRGBL >::filter(), pcl::PCDWriter::generateHeader(), pcl::operator<<(), pcl::PCDGrabber< PointT >::operator[](), pcl::ImageGrabber< PointT >::operator[](), pcl::StereoGrabber< PointT >::publish(), pcl::PCDGrabber< PointT >::publish(), pcl::ImageGrabber< PointT >::publish(), pcl::IFSReader::read(), pcl::FileReader::read(), pcl::PLYReader::read(), pcl::PCDReader::read(), pcl::io::LZFDepth16ImageReader::read(), pcl::OBJReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::PointCloud< ModelT >::swap(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::FileWriter::write(), and pcl::PLYWriter::write().

template<typename PointT>

uint32_t pcl::PointCloud< PointT >::width

The point cloud width (if organized as an image-structure).

Definition at line 413 of file point_cloud.h.

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

/home/travis/build/PointCloudLibrary/pcl/common/include/pcl/common/projection_matrix.h
/home/travis/build/PointCloudLibrary/pcl/common/include/pcl/point_cloud.h

Public Types

Public Member Functions

Public Attributes

Protected Attributes

Friends

Detailed Description

template<typename PointT> singleton pcl::PointCloud< PointT >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Friends And Related Function Documentation

Member Data Documentation

template<typename PointT>
singleton pcl::PointCloud< PointT >