Point Cloud Library (PCL)  1.8.1-dev
List of all members | Public Types | Public Member Functions | Public Attributes | Protected Attributes | Friends
pcl::PointCloud< T > Class Template Reference

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 PointTreference
 
typedef const PointTconst_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...
 
PointCloudoperator+= (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 PointTat (int column, int row) const
 Obtain the point given by the (column, row) coordinates. More...
 
PointTat (int column, int row)
 Obtain the point given by the (column, row) coordinates. More...
 
const PointToperator() (size_t column, size_t row) const
 Obtain the point given by the (column, row) coordinates. More...
 
PointToperator() (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 PointToperator[] (size_t n) const
 
PointToperator[] (size_t n)
 
const PointTat (size_t n) const
 
PointTat (size_t n)
 
const PointTfront () const
 
PointTfront ()
 
const PointTback () const
 
PointTback ()
 
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< MsgFieldMapmapping_
 

Friends

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

Detailed Description

template<typename T>
class pcl::PointCloud< T >

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:

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:

Author
Patrick Mihelich, Radu B. Rusu

Definition at line 53 of file projection_matrix.h.

Member Typedef Documentation

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

Definition at line 427 of file point_cloud.h.

template<typename T>
typedef VectorType::const_iterator pcl::PointCloud< T >::const_iterator

Definition at line 441 of file point_cloud.h.

template<typename T>
typedef const PointT& pcl::PointCloud< T >::const_reference

Definition at line 435 of file point_cloud.h.

template<typename T>
typedef boost::shared_ptr<const PointCloud<PointT> > pcl::PointCloud< T >::ConstPtr

Definition at line 429 of file point_cloud.h.

template<typename T>
typedef VectorType::difference_type pcl::PointCloud< T >::difference_type

Definition at line 436 of file point_cloud.h.

template<typename T>
typedef VectorType::iterator pcl::PointCloud< T >::iterator

Definition at line 440 of file point_cloud.h.

template<typename T>
typedef PointT pcl::PointCloud< T >::PointType

Definition at line 425 of file point_cloud.h.

template<typename T>
typedef boost::shared_ptr<PointCloud<PointT> > pcl::PointCloud< T >::Ptr

Definition at line 428 of file point_cloud.h.

template<typename T>
typedef PointT& pcl::PointCloud< T >::reference

Definition at line 434 of file point_cloud.h.

template<typename T>
typedef VectorType::size_type pcl::PointCloud< T >::size_type

Definition at line 437 of file point_cloud.h.

template<typename T>
typedef PointT pcl::PointCloud< T >::value_type

Definition at line 433 of file point_cloud.h.

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

Definition at line 426 of file point_cloud.h.

Constructor & Destructor Documentation

template<typename T>
pcl::PointCloud< T >::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 T>
pcl::PointCloud< T >::PointCloud ( PointCloud< PointT > &  pc)
inline

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

Parameters
[in]pcthe cloud to copy into this

Definition at line 188 of file point_cloud.h.

template<typename T>
pcl::PointCloud< T >::PointCloud ( const PointCloud< PointT > &  pc)
inline

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

Parameters
[in]pcthe cloud to copy into this

Definition at line 199 of file point_cloud.h.

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

Copy constructor from point cloud subset.

Parameters
[in]pcthe cloud to copy into this
[in]indicesthe subset to copy

Definition at line 211 of file point_cloud.h.

template<typename T>
pcl::PointCloud< T >::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 T>
virtual pcl::PointCloud< T >::~PointCloud ( )
inlinevirtual

Destructor.

Definition at line 240 of file point_cloud.h.

Member Function Documentation

template<typename T>
const PointT& pcl::PointCloud< T >::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]columnthe column coordinate
[in]rowthe 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 T>
PointT& pcl::PointCloud< T >::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]columnthe column coordinate
[in]rowthe row coordinate

Definition at line 297 of file point_cloud.h.

template<typename T>
const PointT& pcl::PointCloud< T >::at ( size_t  n) const
inline

Definition at line 468 of file point_cloud.h.

template<typename T>
PointT& pcl::PointCloud< T >::at ( size_t  n)
inline

Definition at line 469 of file point_cloud.h.

template<typename T>
const PointT& pcl::PointCloud< T >::back ( ) const
inline
template<typename T>
PointT& pcl::PointCloud< T >::back ( )
inline

Definition at line 473 of file point_cloud.h.

template<typename T>
iterator pcl::PointCloud< T >::begin ( )
inline
template<typename T>
const_iterator pcl::PointCloud< T >::begin ( ) const
inline

Definition at line 444 of file point_cloud.h.

template<typename T>
void pcl::PointCloud< T >::clear ( )
inline
template<typename T>
bool pcl::PointCloud< T >::empty ( ) const
inline
template<typename T>
iterator pcl::PointCloud< T >::end ( )
inline
template<typename T>
const_iterator pcl::PointCloud< T >::end ( ) const
inline

Definition at line 445 of file point_cloud.h.

template<typename T>
iterator pcl::PointCloud< T >::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]positionwhat 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 T>
iterator pcl::PointCloud< T >::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]firstwhere to start erasing points from
[in]lastwhere to stop erasing points from
Returns
returns the new position iterator

Definition at line 551 of file point_cloud.h.

template<typename T>
const PointT& pcl::PointCloud< T >::front ( ) const
inline
template<typename T>
PointT& pcl::PointCloud< T >::front ( )
inline

Definition at line 471 of file point_cloud.h.

template<typename T>
Eigen::Map<Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< T >::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]dimthe number of dimensions to consider for each point
[in]stridethe number of values in each point (will be the number of values that separate two of the columns)
[in]offsetthe 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 T>
const Eigen::Map<const Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< T >::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]dimthe number of dimensions to consider for each point
[in]stridethe number of values in each point (will be the number of values that separate two of the columns)
[in]offsetthe 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 T>
Eigen::Map<Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< T >::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 T>
const Eigen::Map<const Eigen::MatrixXf, Eigen::Aligned, Eigen::OuterStride<> > pcl::PointCloud< T >::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 T>
iterator pcl::PointCloud< T >::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]positionwhere to insert the point
[in]ptthe 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 T>
void pcl::PointCloud< T >::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]positionwhere to insert the point
[in]nthe number of times to insert the point
[in]ptthe point to insert

Definition at line 509 of file point_cloud.h.

template<typename T>
template<class InputIterator >
void pcl::PointCloud< T >::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]positionwhere to insert the data
[in]firstwhere to start inserting the points from
[in]lastwhere to stop inserting the points from

Definition at line 523 of file point_cloud.h.

template<typename T>
bool pcl::PointCloud< T >::isOrganized ( ) const
inline
template<typename T>
Ptr pcl::PointCloud< T >::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(), and pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection().

template<typename T>
const PointT& pcl::PointCloud< T >::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]columnthe column coordinate
[in]rowthe row coordinate

Definition at line 311 of file point_cloud.h.

template<typename T>
PointT& pcl::PointCloud< T >::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]columnthe column coordinate
[in]rowthe row coordinate

Definition at line 322 of file point_cloud.h.

template<typename T>
const PointCloud pcl::PointCloud< T >::operator+ ( const PointCloud< T > &  rhs)
inline

Add a point cloud to another cloud.

Parameters
[in]rhsthe 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 T>
PointCloud& pcl::PointCloud< T >::operator+= ( const PointCloud< T > &  rhs)
inline

Add a point cloud to the current cloud.

Parameters
[in]rhsthe 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 T>
const PointT& pcl::PointCloud< T >::operator[] ( size_t  n) const
inline

Definition at line 466 of file point_cloud.h.

template<typename T>
PointT& pcl::PointCloud< T >::operator[] ( size_t  n)
inline

Definition at line 467 of file point_cloud.h.

template<typename T>
void pcl::PointCloud< T >::push_back ( const PointT pt)
inline
template<typename T>
void pcl::PointCloud< T >::reserve ( size_t  n)
inline
template<typename T>
void pcl::PointCloud< T >::resize ( size_t  n)
inline

Resize the cloud.

Parameters
[in]nthe new cloud size

Definition at line 455 of file point_cloud.h.

Referenced by pcl::CovarianceSampling< PointT, PointNT >::applyFilter(), pcl::approximatePolygon(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::cleanUp(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::DisparityMapConverter< PointT >::compute(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::copyPointCloud(), pcl::demeanPointCloud(), pcl::kernel< PointT >::derivativeXBackwardKernel(), pcl::kernel< PointT >::derivativeXCentralKernel(), pcl::kernel< PointT >::derivativeXForwardKernel(), pcl::kernel< PointT >::derivativeYBackwardKernel(), pcl::kernel< PointT >::derivativeYCentralKernel(), pcl::kernel< PointT >::derivativeYForwardKernel(), pcl::Edge< PointInT, PointOutT >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeRoberts(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::Morphology< PointT >::dilationBinary(), pcl::Morphology< PointT >::dilationGray(), pcl::Morphology< PointT >::erosionBinary(), pcl::Morphology< PointT >::erosionGray(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::kernel< PointT >::gaussianKernel(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::Morphology< PointT >::intersectionBinary(), pcl::kernel< PointT >::loGKernel(), pcl::SupervoxelClustering< PointT >::makeSupervoxelNormalCloud(), pcl::search::Search< PointXYZRGB >::nearestKSearchT(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::Poisson< PointNT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::kernel< PointT >::prewittKernelX(), pcl::kernel< PointT >::prewittKernelY(), pcl::ColorGradientModality< PointInT >::processInputData(), pcl::PCA< PointT >::project(), pcl::search::Search< PointXYZRGB >::radiusSearchT(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFYUV422ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFYUV422ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::PCA< PointT >::reconstruct(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseHarris(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseHarris(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseLowe(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseLowe(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseNoble(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseNoble(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseTomasi(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseTomasi(), pcl::kernel< PointT >::robertsKernelX(), pcl::kernel< PointT >::robertsKernelY(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segment(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segmentAndRefine(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::kernel< PointT >::sobelKernelX(), pcl::kernel< PointT >::sobelKernelY(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::structuringElementCircular(), pcl::Morphology< PointT >::structuringElementRectangle(), pcl::Morphology< PointT >::subtractionBinary(), pcl::Morphology< PointT >::unionBinary(), and pcl::registration::TransformationValidationEuclidean< PointSource, PointTarget, Scalar >::validateTransformation().

template<typename T>
size_t pcl::PointCloud< T >::size ( ) const
inline

Definition at line 448 of file point_cloud.h.

Referenced by pcl::visualization::ImageViewer::addMask(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::LineRGBD< PointXYZT, PointRGBT >::addTemplate(), pcl::recognition::TrimmedICP< pcl::pcl::PointXYZ, float >::align(), pcl::FastBilateralFilterOMP< PointT >::applyFilter(), pcl::CovarianceSampling< PointT, PointNT >::applyFilter(), pcl::approximatePolygon(), pcl::approximatePolygon2D(), pcl::calculatePolygonArea(), pcl::PlaneClipper3D< PointT >::clipPointCloud3D(), pcl::BoxClipper3D< PointT >::clipPointCloud3D(), pcl::compute3DCentroid(), pcl::computeCentroid(), pcl::computeCovarianceMatrix(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::computeCovariances(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::computeMeanAndCovarianceMatrix(), pcl::computeNDCentroid(), pcl::computePointNormal(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::copyPointCloud(), pcl::LineRGBD< PointXYZT, PointRGBT >::createAndAddTemplate(), pcl::visualization::createPolygon(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeRoberts(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), 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::registration::TransformationEstimationPointToPlaneWeighted< PointSource, PointTarget, MatScalar >::estimateRigidTransformation(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::extractDescriptors(), pcl::gpu::extractEuclideanClusters(), pcl::gpu::extractLabeledEuclideanClusters(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::findObjects(), pcl::kernel< PointT >::gaussianKernel(), pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >::getBoundaryPoints(), pcl::getMeanPointDensity(), pcl::Morphology< PointT >::intersectionBinary(), pcl::LineRGBD< PointXYZT, PointRGBT >::loadTemplates(), pcl::kernel< PointT >::loGKernel(), pcl::search::Search< PointT >::nearestKSearch(), pcl::search::FlannSearch< PointT, FlannDistance >::nearestKSearch(), pcl::search::Search< PointXYZRGB >::nearestKSearchT(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::PointCloud< ModelT >::PointCloud(), pcl::io::pointCloudTovtkPolyData(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::PCA< PointT >::project(), pcl::search::FlannSearch< PointT, FlannDistance >::radiusSearch(), pcl::search::Search< PointT >::radiusSearch(), pcl::search::Search< PointXYZRGB >::radiusSearchT(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::PCA< PointT >::reconstruct(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::refineCorners(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseHarris(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseLowe(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseNoble(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseTomasi(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setEdgeDataCloud(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setFaceDataCloud(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setHalfEdgeDataCloud(), pcl::SupervoxelClustering< PointT >::setInputCloud(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::setInputSource(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setVertexDataCloud(), pcl::DefaultIterator< PointT >::size(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::structuringElementRectangle(), pcl::Morphology< PointT >::subtractionBinary(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), pcl::IterativeClosestPoint< PointSource, PointTarget, Scalar >::transformCloud(), pcl::Morphology< PointT >::unionBinary(), pcl::visualization::PCLVisualizer::updatePolygonMesh(), pcl::registration::KFPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateTransformation(), and pcl::registration::FPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateTransformation().

template<typename T>
void pcl::PointCloud< T >::swap ( PointCloud< PointT > &  rhs)
inline

Swap a point cloud with another cloud.

Parameters
[in,out]rhspoint cloud to swap this with

Definition at line 563 of file point_cloud.h.

Referenced by pcl::MarchingCubes< PointNT >::performReconstruction().

Friends And Related Function Documentation

template<typename T>
boost::shared_ptr<MsgFieldMap>& detail::getMapping ( pcl::PointCloud< PointT > &  p)
friend

Member Data Documentation

template<typename T>
pcl::PCLHeader pcl::PointCloud< T >::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 T>
uint32_t pcl::PointCloud< T >::height

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

Definition at line 415 of file point_cloud.h.

Referenced by pcl::visualization::ImageViewer::addMask(), pcl::visualization::ImageViewer::addPlanarPolygon(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::ImageViewer::addRectangle(), pcl::visualization::ImageViewer::addRGBImage(), pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::FastBilateralFilterOMP< PointT >::applyFilter(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::MedianFilter< PointT >::applyFilter(), pcl::FastBilateralFilter< PointT >::applyFilter(), pcl::GridMinimum< PointT >::applyFilter(), pcl::ShadowPoints< PointT, NormalT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::SamplingSurfaceNormal< PointT >::applyFilter(), pcl::CovarianceSampling< PointT, PointNT >::applyFilter(), pcl::ProjectInliers< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< PointT >::applyFilter(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::LineRGBD< PointXYZT, PointRGBT >::applyProjectiveDepthICPOnDetections(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::ESFEstimation< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::filters::Pyramid< PointT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::DisparityMapConverter< PointT >::compute(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::OrganizedEdgeFromRGBNormals< PointT, PointNT, PointLT >::compute(), pcl::features::computeApproximateNormals(), pcl::ESFEstimation< PointInT, PointOutT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature(), pcl::RIFTEstimation< PointInT, GradientT, PointOutT >::computeFeature(), pcl::RSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradientsSobel(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::concatenateFields(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::UnaryClassifier< PointT >::convertCloud(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTrianglesToMesh(), pcl::GaussianKernel::convolve(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::GaussianKernel::convolveCols(), pcl::GaussianKernel::convolveRows(), pcl::copyPointCloud(), pcl::common::deleteCols(), pcl::common::deleteRows(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::kernel< PointT >::derivativeXBackwardKernel(), pcl::kernel< PointT >::derivativeXCentralKernel(), pcl::kernel< PointT >::derivativeXForwardKernel(), pcl::kernel< PointT >::derivativeYBackwardKernel(), pcl::kernel< PointT >::derivativeYCentralKernel(), pcl::kernel< PointT >::derivativeYForwardKernel(), pcl::Edge< PointInT, PointOutT >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeRoberts(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::Morphology< PointT >::dilationBinary(), pcl::Morphology< PointT >::dilationGray(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::downsample(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::Morphology< PointT >::erosionBinary(), pcl::Morphology< PointT >::erosionGray(), pcl::estimateProjectionMatrix(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::io::PointCloudImageExtractor< PointT >::extract(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::io::PointCloudImageExtractorWithScaling< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromNormalField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromRGBField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromLabelField< PointT >::extractImpl(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::extractRGBFromPointCloud(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::occlusion_reasoning::filter(), pcl::fromPCLPointCloud2(), pcl::kernel< PointT >::gaussianKernel(), pcl::PCDWriter::generateHeader(), pcl::gpu::DataSource::generateSurface(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::occlusion_reasoning::getOccludedCloud(), pcl::getPointCloudDifference(), pcl::RFFaceDetectorTrainer::getVotes(), pcl::RFFaceDetectorTrainer::getVotes2(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::insertRange(), pcl::Morphology< PointT >::intersectionBinary(), pcl::UnaryClassifier< PointT >::kmeansClustering(), pcl::kernel< PointT >::loGKernel(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), pcl::operator<<(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::PointCloudDepthAndRGBtoXYZRGBA(), pcl::PointCloudRGBtoI(), pcl::io::pointCloudTovtkStructuredGrid(), pcl::PointCloudXYZRGBAtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZI(), pcl::kernel< PointT >::prewittKernelX(), pcl::kernel< PointT >::prewittKernelY(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::ColorGradientModality< PointInT >::processInputData(), 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::PCDGrabber< PointT >::publish(), pcl::outofcore::OutofcoreOctreeBaseNode< ContainerT, PointT >::queryBBIncludes(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFYUV422ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFYUV422ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::SurfaceReconstruction< PointInT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseCurvature(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseHarris(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseHarris(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseLowe(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseLowe(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseNoble(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseNoble(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::responseTomasi(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseTomasi(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseTomasi(), pcl::kernel< PointT >::robertsKernelX(), pcl::kernel< PointT >::robertsKernelY(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::visualization::ImageViewer::showCorrespondences(), pcl::kernel< PointT >::sobelKernelX(), pcl::kernel< PointT >::sobelKernelY(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::structuringElementCircular(), pcl::Morphology< PointT >::structuringElementRectangle(), pcl::Morphology< PointT >::subtractionBinary(), pcl::PointCloud< ModelT >::swap(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::swapDimensions(), pcl::toPCLPointCloud2(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::Morphology< PointT >::unionBinary(), pcl::io::vtkPolyDataToPointCloud(), pcl::io::vtkStructuredGridToPointCloud(), and pcl::PCDWriter::writeASCII().

template<typename T>
bool pcl::PointCloud< T >::is_dense

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

Definition at line 418 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::GridMinimum< PointT >::applyFilter(), pcl::ExtractIndices< PointT >::applyFilter(), pcl::RandomSample< PointT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::CovarianceSampling< PointT, PointNT >::applyFilter(), pcl::RadiusOutlierRemoval< PointT >::applyFilter(), pcl::StatisticalOutlierRemoval< PointT >::applyFilter(), pcl::NormalSpaceSampling< PointT, NormalT >::applyFilter(), pcl::CropBox< PointT >::applyFilter(), pcl::PassThrough< PointT >::applyFilter(), pcl::ModelOutlierRemoval< PointT >::applyFilter(), pcl::FrustumCulling< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< PointT >::applyFilter(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::ESFEstimation< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::compute3DCentroid(), pcl::computeCentroid(), pcl::computeCovarianceMatrix(), pcl::IntensityGradientEstimation< PointInT, PointNT, PointOutT, IntensitySelectorT >::computeFeature(), pcl::SHOTLocalReferenceFrameEstimation< PointInT, PointOutT >::computeFeature(), pcl::SHOTLocalReferenceFrameEstimationOMP< PointInT, PointOutT >::computeFeature(), pcl::MomentInvariantsEstimation< PointInT, PointOutT >::computeFeature(), pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature(), pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::computeFeature(), pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::ShapeContext3DEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::PFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTColorEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::FPFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::FLARELocalReferenceFrameEstimation< PointInT, PointNT, PointOutT, SignedDistanceT >::computeFeature(), pcl::BOARDLocalReferenceFrameEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::SHOTColorEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::NormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeatureFull(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeaturePart(), pcl::computeMeanAndCovarianceMatrix(), pcl::concatenateFields(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::UnaryClassifier< PointT >::convertCloud(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::copyPointCloud(), pcl::demeanPointCloud(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::AgastKeypoint2D< PointInT, PointOutT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::fromPCLPointCloud2(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::getMaxDistance(), pcl::getMinMax3D(), pcl::getPointCloudDifference(), pcl::getPointsInBox(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::UnaryClassifier< PointT >::kmeansClustering(), pcl::search::FlannSearch< PointT, FlannDistance >::nearestKSearch(), pcl::PointCloud< ModelT >::operator+=(), pcl::operator<<(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::io::pointCloudTovtkPolyData(), pcl::ColorGradientModality< PointInT >::processInputData(), pcl::PCA< PointT >::project(), 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::search::FlannSearch< PointT, FlannDistance >::radiusSearch(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::PCA< PointT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::PointCloud< ModelT >::swap(), pcl::toPCLPointCloud2(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::visualization::PCLVisualizer::updatePointCloud(), pcl::visualization::PCLVisualizer::updatePolygonMesh(), pcl::io::vtkPolyDataToPointCloud(), and pcl::io::vtkStructuredGridToPointCloud().

template<typename T>
boost::shared_ptr<MsgFieldMap> pcl::PointCloud< T >::mapping_
protected

Definition at line 592 of file point_cloud.h.

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

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

The point data.

Definition at line 410 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addCorrespondences(), pcl::visualization::PCLHistogramVisualizer::addFeatureHistogram(), pcl::visualization::PCLPlotter::addFeatureHistogram(), pcl::visualization::PCLVisualizer::addPointCloudIntensityGradients(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::PCLVisualizer::addPointCloudPrincipalCurvatures(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::visualization::ImageViewer::addRectangle(), pcl::LineRGBD< PointXYZT, PointRGBT >::addTemplate(), pcl::recognition::TrimmedICP< pcl::pcl::PointXYZ, float >::align(), pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::BilateralFilter< PointT >::applyFilter(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::GridMinimum< PointT >::applyFilter(), pcl::ShadowPoints< PointT, NormalT >::applyFilter(), pcl::ExtractIndices< PointT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::SamplingSurfaceNormal< PointT >::applyFilter(), pcl::ProjectInliers< PointT >::applyFilter(), pcl::RadiusOutlierRemoval< PointT >::applyFilter(), pcl::StatisticalOutlierRemoval< PointT >::applyFilter(), pcl::NormalSpaceSampling< PointT, NormalT >::applyFilter(), pcl::CropBox< PointT >::applyFilter(), pcl::PassThrough< PointT >::applyFilter(), pcl::ModelOutlierRemoval< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< PointT >::applyFilter(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::octree::OctreePointCloudSearch< PointT, LeafContainerT, BranchContainerT >::approxNearestSearch(), pcl::UnaryClassifier< PointT >::assignLabels(), pcl::RangeImageBorderExtractor::calculateBorderDirection(), pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::ESFEstimation< PointInT, PointOutT >::cleanup9(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::ESFEstimation< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::OrganizedEdgeFromRGBNormals< PointT, PointNT, PointLT >::compute(), pcl::features::computeApproximateCovariances(), pcl::features::computeApproximateNormals(), pcl::occlusion_reasoning::ZBuffering< ModelT, SceneT >::computeDepthMap(), pcl::ESFEstimation< PointInT, PointOutT >::computeESF(), pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::IntensityGradientEstimation< PointInT, PointNT, PointOutT, IntensitySelectorT >::computeFeature(), pcl::ESFEstimation< PointInT, PointOutT >::computeFeature(), pcl::MomentInvariantsEstimation< PointInT, PointOutT >::computeFeature(), pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::DifferenceOfNormalsEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::LinearLeastSquaresNormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature(), pcl::RIFTEstimation< PointInT, GradientT, PointOutT >::computeFeature(), pcl::NormalBasedSignatureEstimation< PointT, PointNT, PointFeature >::computeFeature(), pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::computeFeature(), pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::PFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTColorEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::FPFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::RSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SpinImageEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::SHOTColorEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::NormalEstimation< PointInT, PointOutT >::computeFeature(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeaturePart(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeIntensitySpinImage(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradientsSobel(), pcl::MLSResult::computeMLSSurface(), pcl::FPFHEstimation< PointInT, PointNT, PointOutT >::computePairFeatures(), pcl::PFHEstimation< PointInT, PointNT, PointOutT >::computePairFeatures(), pcl::MomentInvariantsEstimation< PointInT, PointOutT >::computePointMomentInvariants(), pcl::PFHEstimation< PointInT, PointNT, PointOutT >::computePointPFHSignature(), pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, PointOutT >::computePointPrincipalCurvatures(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::computePointSPFHSignature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::computeRGBPairFeatures(), pcl::RIFTEstimation< PointInT, GradientT, PointOutT >::computeRIFT(), pcl::CRHAlignment< PointT, nbins_ >::computeRollAngle(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::concatenateFields(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::UnaryClassifier< PointT >::convertCloud(), pcl::visualization::ImageViewer::convertRGBCloudToUChar(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTrianglesToMesh(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTsdfVectors(), pcl::GaussianKernel::convolveCols(), pcl::GaussianKernel::convolveRows(), pcl::copyPointCloud(), pcl::LineRGBD< PointXYZT, PointRGBT >::createAndAddTemplate(), pcl::visualization::createPolygon(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::registration::TransformationEstimationDQ< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationDualQuaternion< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimation2D< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneLLS< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneLLSWeighted< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationSVD< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimation3Point< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationLM< PointSource, PointTarget, MatScalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneWeighted< PointSource, PointTarget, MatScalar >::estimateRigidTransformation(), pcl::io::PointCloudImageExtractor< PointT >::extract(), pcl::ApproximateProgressiveMorphologicalFilter< PointT >::extract(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::extractDescriptors(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::extractEuclideanClusters(), pcl::io::PointCloudImageExtractorWithScaling< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromNormalField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromRGBField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromLabelField< PointT >::extractImpl(), pcl::extractLabeledEuclideanClusters(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::extractRGBFromPointCloud(), pcl::occlusion_reasoning::ZBuffering< ModelT, SceneT >::filter(), pcl::occlusion_reasoning::filter(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature(), pcl::UnaryClassifier< PointT >::findClusters(), pcl::gpu::DataSource::findKNNeghbors(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::findObjects(), pcl::gpu::DataSource::findRadiusNeghbors(), pcl::ApproximateVoxelGrid< PointT >::flush(), pcl::fromPCLPointCloud2(), pcl::gpu::DataSource::generateColor(), pcl::PCDWriter::generateHeader(), pcl::gpu::DataSource::generateIndices(), pcl::gpu::DataSource::generateSurface(), pcl::getApproximateIndices(), pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >::getBoundaryPoints(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::kinfuLS::WorldModel< PointT >::getExistingData(), pcl::getFeaturePointCloud(), pcl::Registration< PointSource, PointTarget, Scalar >::getFitnessScore(), pcl::getMaxDistance(), pcl::getMaxSegment(), pcl::getMeanPointDensity(), pcl::getMinMax3D(), pcl::occlusion_reasoning::getOccludedCloud(), pcl::getPointCloudDifference(), pcl::getPointsInBox(), pcl::RFFaceDetectorTrainer::getVotes(), pcl::RFFaceDetectorTrainer::getVotes2(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::insertRange(), pcl::BoundaryEstimation< PointInT, PointNT, PointOutT >::isBoundaryPoint(), pcl::isPointIn2DPolygon(), pcl::isXYPointIn2DXYPolygon(), pcl::UnaryClassifier< PointT >::kmeansClustering(), pcl::LineRGBD< PointXYZT, PointRGBT >::loadTemplates(), pcl::TextureMapping< PointInT >::mapMultipleTexturesToMeshUV(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::mismatchVector(), pcl::KdTree< FeatureT >::nearestKSearch(), pcl::search::Search< PointT >::nearestKSearch(), pcl::VoxelGridCovariance< PointTarget >::nearestKSearch(), pcl::registration::TransformationEstimationPointToPlaneWeighted< PointSource, PointTarget, MatScalar >::OptimizationFunctor::operator()(), pcl::registration::TransformationEstimationLM< PointSource, PointTarget, MatScalar >::OptimizationFunctor::operator()(), pcl::registration::TransformationEstimationPointToPlaneWeighted< PointSource, PointTarget, MatScalar >::OptimizationFunctorWithIndices::operator()(), pcl::registration::TransformationEstimationLM< PointSource, PointTarget, MatScalar >::OptimizationFunctorWithIndices::operator()(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::OptimizationFunctorWithIndices::operator()(), pcl::IteratorIdx< PointT >::operator*(), pcl::PointCloud< ModelT >::operator+=(), pcl::IteratorIdx< PointT >::operator->(), pcl::operator<<(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::Poisson< PointNT >::performReconstruction(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::PointCloud< ModelT >::PointCloud(), pcl::PointCloudDepthAndRGBtoXYZRGBA(), pcl::PointCloudRGBtoI(), pcl::io::pointCloudTovtkPolyData(), pcl::PointCloudXYZRGBAtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZI(), 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::PCDGrabber< PointT >::publish(), pcl::UnaryClassifier< PointT >::queryFeatureDistances(), pcl::octree::OctreePointCloudSearch< PointT, LeafContainerT, BranchContainerT >::radiusSearch(), pcl::KdTree< FeatureT >::radiusSearch(), pcl::search::Search< PointT >::radiusSearch(), pcl::VoxelGridCovariance< PointTarget >::radiusSearch(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFYUV422ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFYUV422ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::readRange(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::refineCorners(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseCurvature(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseHarris(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseLowe(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseNoble(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::responseTomasi(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseTomasi(), pcl::seededHueSegmentation(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::ExtractPolygonalPrismData< PointT >::segment(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segment(), pcl::OrganizedMultiPlaneSegmentation< PointT, PointNT, PointLT >::segmentAndRefine(), pcl::CrfSegmentation< PointT >::segmentPoints(), pcl::PlanarPolygon< PointT >::setContour(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::shiftCloud(), pcl::TextureMapping< PointInT >::showOcclusions(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::simplifyCloud(), pcl::TextureMapping< PointInT >::sortFacesByCamera(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::spatialGradient(), pcl::PointCloud< ModelT >::swap(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::swapDimensions(), pcl::toPCLPointCloud2(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::visualization::PCLHistogramVisualizer::updateFeatureHistogram(), pcl::visualization::PCLVisualizer::updatePointCloud(), pcl::visualization::PCLVisualizer::updatePolygonMesh(), pcl::registration::FPCSInitialAlignment< PointSource, PointTarget, NormalT, Scalar >::validateMatch(), pcl::registration::TransformationValidationEuclidean< PointSource, PointTarget, Scalar >::validateTransformation(), pcl::ESFEstimation< PointInT, PointOutT >::voxelize9(), pcl::io::vtkPolyDataToPointCloud(), pcl::io::vtkStructuredGridToPointCloud(), pcl::PCDWriter::writeASCII(), pcl::PCDWriter::writeBinary(), and pcl::PCDWriter::writeBinaryCompressed().

template<typename T>
Eigen::Quaternionf pcl::PointCloud< T >::sensor_orientation_
template<typename T>
Eigen::Vector4f pcl::PointCloud< T >::sensor_origin_
template<typename T>
uint32_t pcl::PointCloud< T >::width

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

Definition at line 413 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::ImageViewer::addRGBImage(), pcl::Registration< PointSource, PointTarget, Scalar >::align(), pcl::FastBilateralFilterOMP< PointT >::applyFilter(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::MedianFilter< PointT >::applyFilter(), pcl::FastBilateralFilter< PointT >::applyFilter(), pcl::GridMinimum< PointT >::applyFilter(), pcl::ShadowPoints< PointT, NormalT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::SamplingSurfaceNormal< PointT >::applyFilter(), pcl::CovarianceSampling< PointT, PointNT >::applyFilter(), pcl::ProjectInliers< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< PointT >::applyFilter(), pcl::VoxelGridCovariance< PointT >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::LineRGBD< PointXYZT, PointRGBT >::applyProjectiveDepthICPOnDetections(), pcl::RangeImageBorderExtractor::calculateBorderDirection(), pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::RangeImageBorderExtractor::changeScoreAccordingToShadowBorderValue(), pcl::RangeImageBorderExtractor::checkIfMaximum(), pcl::RangeImageBorderExtractor::checkPotentialBorder(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::ESFEstimation< PointInT, PointOutT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::filters::Pyramid< PointT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::DisparityMapConverter< PointT >::compute(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointInT, PointOutT >::compute(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::compute(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::OrganizedEdgeFromRGBNormals< PointT, PointNT, PointLT >::compute(), pcl::features::computeApproximateNormals(), pcl::ESFEstimation< PointInT, PointOutT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeFeature(), pcl::RIFTEstimation< PointInT, GradientT, PointOutT >::computeFeature(), pcl::RSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeatureFull(), pcl::IntegralImageNormalEstimation< PointInT, PointOutT >::computeFeaturePart(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointInT >::computeMaxColorGradientsSobel(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::concatenateFields(), pcl::io::OrganizedConversion< PointT, false >::convert(), pcl::io::OrganizedConversion< PointT, true >::convert(), pcl::UnaryClassifier< PointT >::convertCloud(), pcl::gpu::kinfuLS::StandaloneMarchingCubes< PointT >::convertTrianglesToMesh(), pcl::GaussianKernel::convolve(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::GaussianKernel::convolveCols(), pcl::GaussianKernel::convolveRows(), pcl::copyPointCloud(), pcl::common::deleteCols(), pcl::common::deleteRows(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::kernel< PointT >::derivativeXBackwardKernel(), pcl::kernel< PointT >::derivativeXCentralKernel(), pcl::kernel< PointT >::derivativeXForwardKernel(), pcl::kernel< PointT >::derivativeYBackwardKernel(), pcl::kernel< PointT >::derivativeYCentralKernel(), pcl::kernel< PointT >::derivativeYForwardKernel(), pcl::Edge< PointInT, PointOutT >::detectEdgeCanny(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeRoberts(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::ISSKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::Morphology< PointT >::dilationBinary(), pcl::Morphology< PointT >::dilationGray(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::downsample(), pcl::common::duplicateColumns(), pcl::common::duplicateRows(), pcl::Morphology< PointT >::erosionBinary(), pcl::Morphology< PointT >::erosionGray(), pcl::estimateProjectionMatrix(), pcl::common::expandColumns(), pcl::common::expandRows(), pcl::io::PointCloudImageExtractor< PointT >::extract(), pcl::OrganizedEdgeBase< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromRGB< PointT, PointLT >::extractEdges(), pcl::OrganizedEdgeFromNormals< PointT, PointNT, PointLT >::extractEdges(), pcl::io::PointCloudImageExtractorWithScaling< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromNormalField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromRGBField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromLabelField< PointT >::extractImpl(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::extractRGBFromPointCloud(), pcl::common::CloudGenerator< PointT, GeneratorT >::fill(), pcl::common::CloudGenerator< pcl::PointXY, GeneratorT >::fill(), pcl::occlusion_reasoning::filter(), pcl::fromPCLPointCloud2(), pcl::kernel< PointT >::gaussianKernel(), pcl::PCDWriter::generateHeader(), pcl::gpu::DataSource::generateSurface(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::occlusion_reasoning::getOccludedCloud(), pcl::getPointCloudDifference(), pcl::RFFaceDetectorTrainer::getVotes(), pcl::RFFaceDetectorTrainer::getVotes2(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::insertRange(), pcl::Morphology< PointT >::intersectionBinary(), pcl::UnaryClassifier< PointT >::kmeansClustering(), pcl::kernel< PointT >::loGKernel(), pcl::common::mirrorColumns(), pcl::common::mirrorRows(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::mismatchVector(), pcl::operator<<(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::PointCloudDepthAndRGBtoXYZRGBA(), pcl::PointCloudRGBtoI(), pcl::io::pointCloudTovtkStructuredGrid(), pcl::PointCloudXYZRGBAtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZI(), pcl::kernel< PointT >::prewittKernelX(), pcl::kernel< PointT >::prewittKernelY(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::ColorGradientModality< PointInT >::processInputData(), 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::PCDGrabber< PointT >::publish(), pcl::outofcore::OutofcoreOctreeBaseNode< ContainerT, PointT >::queryBBIncludes(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFRGB24ImageReader::read(), pcl::io::LZFYUV422ImageReader::read(), pcl::io::LZFBayer8ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::io::LZFRGB24ImageReader::readOMP(), pcl::io::LZFYUV422ImageReader::readOMP(), pcl::io::LZFBayer8ImageReader::readOMP(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::SurfaceReconstruction< PointInT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseCurvature(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseHarris(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseHarris(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseLowe(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseLowe(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseNoble(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseNoble(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::responseTomasi(), pcl::HarrisKeypoint2D< PointInT, PointOutT, IntensityT >::responseTomasi(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::responseTomasi(), pcl::kernel< PointT >::robertsKernelX(), pcl::kernel< PointT >::robertsKernelY(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::DisparityMapConverter< PointT >::setImage(), pcl::visualization::ImageViewer::showCorrespondences(), pcl::kernel< PointT >::sobelKernelX(), pcl::kernel< PointT >::sobelKernelY(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::spatialGradient(), pcl::Morphology< PointT >::structuringElementCircular(), pcl::Morphology< PointT >::structuringElementRectangle(), pcl::Morphology< PointT >::subtractionBinary(), pcl::PointCloud< ModelT >::swap(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::swapDimensions(), pcl::toPCLPointCloud2(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::Morphology< PointT >::unionBinary(), pcl::RangeImageBorderExtractor::updatedScoreAccordingToNeighborValues(), pcl::io::vtkPolyDataToPointCloud(), pcl::io::vtkStructuredGridToPointCloud(), and pcl::PCDWriter::writeASCII().


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