Point Cloud Library (PCL)  1.9.1-dev
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pcl::PointCloud< PointT > 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

using PointType = PointT
 
using VectorType = std::vector< PointT, Eigen::aligned_allocator< PointT > >
 
using CloudVectorType = std::vector< PointCloud< PointT >, Eigen::aligned_allocator< PointCloud< PointT > > >
 
using Ptr = boost::shared_ptr< PointCloud< PointT > >
 
using ConstPtr = boost::shared_ptr< const PointCloud< PointT > >
 
using value_type = PointT
 
using reference = PointT &
 
using const_reference = const PointT &
 
using difference_type = typename VectorType::difference_type
 
using size_type = typename VectorType::size_type
 
using iterator = typename VectorType::iterator
 
using const_iterator = typename VectorType::const_iterator
 

Public Member Functions

 PointCloud ()=default
 Default constructor. More...
 
 PointCloud (const PointCloud< PointT > &pc, const std::vector< int > &indices)
 Copy constructor from point cloud subset. More...
 
 PointCloud (std::uint32_t width_, std::uint32_t height_, const PointT &value_=PointT())
 Allocate constructor from point cloud subset. More...
 
PointCloudoperator+= (const PointCloud &rhs)
 Add a point cloud to the current cloud. More...
 
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() (std::size_t column, std::size_t row) const
 Obtain the point given by the (column, row) coordinates. More...
 
PointToperator() (std::size_t column, std::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
 
std::size_t size () const
 
void reserve (std::size_t n)
 
bool empty () const
 
void resize (std::size_t n)
 Resize the cloud. More...
 
const PointToperator[] (std::size_t n) const
 
PointToperator[] (std::size_t n)
 
const PointTat (std::size_t n) const
 
PointTat (std::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...
 
template<class... Args>
reference emplace_back (Args &&...args)
 Emplace 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, std::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...
 
template<class... Args>
iterator emplace (iterator position, Args &&...args)
 Emplace a new point in the cloud, given an iterator. 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...
 

Static Public Member Functions

static bool concatenate (pcl::PointCloud< PointT > &cloud1, const pcl::PointCloud< PointT > &cloud2)
 
static bool concatenate (const pcl::PointCloud< PointT > &cloud1, const pcl::PointCloud< PointT > &cloud2, pcl::PointCloud< PointT > &cloud_out)
 

Public Attributes

pcl::PCLHeader header
 The point cloud header. More...
 
std::vector< PointT, Eigen::aligned_allocator< PointT > > points
 The point data. More...
 
std::uint32_t width = 0
 The point cloud width (if organized as an image-structure). More...
 
std::uint32_t height = 0
 The point cloud height (if organized as an image-structure). More...
 
bool is_dense = true
 True if no points are invalid (e.g., have NaN or Inf values in any of their floating point fields). More...
 
Eigen::Vector4f sensor_origin_ = Eigen::Vector4f::Zero ()
 Sensor acquisition pose (origin/translation). More...
 
Eigen::Quaternionf sensor_orientation_ = Eigen::Quaternionf::Identity ()
 Sensor acquisition pose (rotation). More...
 

Protected Attributes

std::shared_ptr< MsgFieldMapmapping_
 

Friends

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

Detailed Description

template<typename PointT>
class 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:

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 52 of file projection_matrix.h.

Member Typedef Documentation

◆ CloudVectorType

template<typename PointT>
using pcl::PointCloud< PointT >::CloudVectorType = std::vector<PointCloud<PointT>, Eigen::aligned_allocator<PointCloud<PointT> > >

Definition at line 411 of file point_cloud.h.

◆ const_iterator

template<typename PointT>
using pcl::PointCloud< PointT >::const_iterator = typename VectorType::const_iterator

Definition at line 425 of file point_cloud.h.

◆ const_reference

template<typename PointT>
using pcl::PointCloud< PointT >::const_reference = const PointT&

Definition at line 419 of file point_cloud.h.

◆ ConstPtr

template<typename PointT>
using pcl::PointCloud< PointT >::ConstPtr = boost::shared_ptr<const PointCloud<PointT> >

Definition at line 413 of file point_cloud.h.

◆ difference_type

template<typename PointT>
using pcl::PointCloud< PointT >::difference_type = typename VectorType::difference_type

Definition at line 420 of file point_cloud.h.

◆ iterator

template<typename PointT>
using pcl::PointCloud< PointT >::iterator = typename VectorType::iterator

Definition at line 424 of file point_cloud.h.

◆ PointType

template<typename PointT>
using pcl::PointCloud< PointT >::PointType = PointT

Definition at line 409 of file point_cloud.h.

◆ Ptr

template<typename PointT>
using pcl::PointCloud< PointT >::Ptr = boost::shared_ptr<PointCloud<PointT> >

Definition at line 412 of file point_cloud.h.

◆ reference

template<typename PointT>
using pcl::PointCloud< PointT >::reference = PointT&

Definition at line 418 of file point_cloud.h.

◆ size_type

template<typename PointT>
using pcl::PointCloud< PointT >::size_type = typename VectorType::size_type

Definition at line 421 of file point_cloud.h.

◆ value_type

template<typename PointT>
using pcl::PointCloud< PointT >::value_type = PointT

Definition at line 417 of file point_cloud.h.

◆ VectorType

template<typename PointT>
using pcl::PointCloud< PointT >::VectorType = std::vector<PointT, Eigen::aligned_allocator<PointT> >

Definition at line 410 of file point_cloud.h.

Constructor & Destructor Documentation

◆ PointCloud() [1/3]

template<typename PointT>
pcl::PointCloud< PointT >::PointCloud ( )
default

Default constructor.

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

◆ PointCloud() [2/3]

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

Definition at line 190 of file point_cloud.h.

◆ PointCloud() [3/3]

template<typename PointT>
pcl::PointCloud< PointT >::PointCloud ( std::uint32_t  width_,
std::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 206 of file point_cloud.h.

Member Function Documentation

◆ at() [1/4]

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]columnthe column coordinate
[in]rowthe row coordinate

Definition at line 267 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(), pcl::PointCloudDepthAndRGBtoXYZRGBA(), and pcl::CPCSegmentation< PointT >::segment().

◆ at() [2/4]

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]columnthe column coordinate
[in]rowthe row coordinate

Definition at line 281 of file point_cloud.h.

◆ at() [3/4]

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

Definition at line 452 of file point_cloud.h.

◆ at() [4/4]

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

Definition at line 453 of file point_cloud.h.

◆ back() [1/2]

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

Definition at line 456 of file point_cloud.h.

Referenced by pcl::VoxelGridCovariance< PointTarget >::applyFilter().

◆ back() [2/2]

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

Definition at line 457 of file point_cloud.h.

◆ begin() [1/2]

template<typename PointT>
iterator pcl::PointCloud< PointT >::begin ( )
inline

◆ begin() [2/2]

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

Definition at line 428 of file point_cloud.h.

◆ clear()

template<typename PointT>
void pcl::PointCloud< PointT >::clear ( )
inline

◆ concatenate() [1/2]

template<typename PointT>
static bool pcl::PointCloud< PointT >::concatenate ( pcl::PointCloud< PointT > &  cloud1,
const pcl::PointCloud< PointT > &  cloud2 
)
inlinestatic

Definition at line 236 of file point_cloud.h.

Referenced by pcl::concatenate().

◆ concatenate() [2/2]

template<typename PointT>
static bool pcl::PointCloud< PointT >::concatenate ( const pcl::PointCloud< PointT > &  cloud1,
const pcl::PointCloud< PointT > &  cloud2,
pcl::PointCloud< PointT > &  cloud_out 
)
inlinestatic

Definition at line 253 of file point_cloud.h.

◆ emplace()

template<typename PointT>
template<class... Args>
iterator pcl::PointCloud< PointT >::emplace ( iterator  position,
Args &&...  args 
)
inline

Emplace 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]positioniterator before which the point will be emplaced
[in]argsthe parameters to forward to the point to construct
Returns
returns the new position iterator

Definition at line 535 of file point_cloud.h.

◆ emplace_back()

template<typename PointT>
template<class... Args>
reference pcl::PointCloud< PointT >::emplace_back ( Args &&...  args)
inline

Emplace 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]argsthe parameters to forward to the point to construct
Returns
reference to the emplaced point

Definition at line 477 of file point_cloud.h.

◆ empty()

template<typename PointT>
bool pcl::PointCloud< PointT >::empty ( ) const
inline

◆ end() [1/2]

template<typename PointT>
iterator pcl::PointCloud< PointT >::end ( )
inline

◆ end() [2/2]

template<typename PointT>
const_iterator pcl::PointCloud< PointT >::end ( ) const
inline

Definition at line 429 of file point_cloud.h.

◆ erase() [1/2]

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]positionwhat data point to erase
Returns
returns the new position iterator

Definition at line 549 of file point_cloud.h.

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

◆ erase() [2/2]

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]firstwhere to start erasing points from
[in]lastwhere to stop erasing points from
Returns
returns the new position iterator

Definition at line 564 of file point_cloud.h.

◆ front() [1/2]

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

◆ front() [2/2]

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

Definition at line 455 of file point_cloud.h.

◆ getMatrixXfMap() [1/4]

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]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 336 of file point_cloud.h.

◆ getMatrixXfMap() [2/4]

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]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 360 of file point_cloud.h.

◆ getMatrixXfMap() [3/4]

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 374 of file point_cloud.h.

◆ getMatrixXfMap() [4/4]

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 385 of file point_cloud.h.

◆ insert() [1/3]

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]positionwhere to insert the point
[in]ptthe point to insert
Returns
returns the new position iterator

Definition at line 492 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().

◆ insert() [2/3]

template<typename PointT>
void pcl::PointCloud< PointT >::insert ( iterator  position,
std::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 507 of file point_cloud.h.

◆ insert() [3/3]

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]positionwhere to insert the data
[in]firstwhere to start inserting the points from
[in]lastwhere to stop inserting the points from

Definition at line 521 of file point_cloud.h.

◆ isOrganized()

template<typename PointT>
bool pcl::PointCloud< PointT >::isOrganized ( ) const
inline

◆ makeShared()

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 602 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().

◆ operator()() [1/2]

template<typename PointT>
const PointT& pcl::PointCloud< PointT >::operator() ( std::size_t  column,
std::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 295 of file point_cloud.h.

◆ operator()() [2/2]

template<typename PointT>
PointT& pcl::PointCloud< PointT >::operator() ( std::size_t  column,
std::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 306 of file point_cloud.h.

◆ operator+()

template<typename PointT>
PointCloud pcl::PointCloud< PointT >::operator+ ( const PointCloud< PointT > &  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 230 of file point_cloud.h.

◆ operator+=()

template<typename PointT>
PointCloud& pcl::PointCloud< PointT >::operator+= ( const PointCloud< PointT > &  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 219 of file point_cloud.h.

◆ operator[]() [1/2]

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

Definition at line 450 of file point_cloud.h.

◆ operator[]() [2/2]

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

Definition at line 451 of file point_cloud.h.

◆ push_back()

template<typename PointT>
void pcl::PointCloud< PointT >::push_back ( const PointT pt)
inline

◆ reserve()

template<typename PointT>
void pcl::PointCloud< PointT >::reserve ( std::size_t  n)
inline

◆ resize()

template<typename PointT>
void pcl::PointCloud< PointT >::resize ( std::size_t  n)
inline

Resize the cloud.

Parameters
[in]nthe new cloud size

Definition at line 439 of file point_cloud.h.

Referenced by pcl::Edge< PointInT, PointOutT >::canny(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::GASDEstimation< PointInT, PointOutT >::compute(), pcl::DisparityMapConverter< PointDEM >::compute(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::filters::Convolution3D< PointIn, PointOut, KernelT >::convolve(), pcl::copyPointCloud(), pcl::demeanPointCloud(), pcl::kernel< PointInT >::derivativeXBackwardKernel(), pcl::kernel< PointInT >::derivativeXCentralKernel(), pcl::kernel< PointInT >::derivativeXForwardKernel(), pcl::kernel< PointInT >::derivativeYBackwardKernel(), pcl::kernel< PointInT >::derivativeYCentralKernel(), pcl::kernel< PointInT >::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< PointInT >::gaussianKernel(), pcl::SupervoxelClustering< PointT >::VoxelData::getNormal(), pcl::filters::Convolution< PointIn, PointOut >::initCompute(), pcl::Morphology< PointT >::intersectionBinary(), pcl::kernel< PointInT >::loGKernel(), pcl::SupervoxelClustering< PointT >::makeSupervoxelNormalCloud(), pcl::search::Search< PointXYZRGB >::nearestKSearchT(), pcl::BilateralUpsampling< PointInT, PointOutT >::performProcessing(), pcl::Poisson< PointNT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::PPFRGBRegionEstimation< PointInT, PointNT, PointOutT >::PPFRGBRegionEstimation(), pcl::kernel< PointInT >::prewittKernelX(), pcl::kernel< PointInT >::prewittKernelY(), pcl::ColorGradientModality< PointRGBT >::processInputData(), 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::kernel< PointInT >::robertsKernelX(), pcl::kernel< PointInT >::robertsKernelY(), pcl::OrganizedMultiPlaneSegmentation< pcl::PointXYZRGBA, pcl::Normal, pcl::Label >::segment(), pcl::OrganizedMultiPlaneSegmentation< pcl::PointXYZRGBA, pcl::Normal, pcl::Label >::segmentAndRefine(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::kernel< PointInT >::sobelKernelX(), pcl::kernel< PointInT >::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().

◆ size()

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

Definition at line 432 of file point_cloud.h.

Referenced by pcl::visualization::ImageViewer::addMask(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::LineRGBD< PointXYZT, PointRGBT >::addTemplate(), pcl::recognition::TrimmedICP< pcl::PointXYZ, float >::align(), pcl::FastBilateralFilterOMP< PointT >::applyFilter(), pcl::approximatePolygon(), pcl::approximatePolygon2D(), pcl::calculatePolygonArea(), pcl::PlaneClipper3D< PointT >::clipPointCloud3D(), pcl::BoxClipper3D< PointT >::clipPointCloud3D(), pcl::compute3DCentroid(), pcl::computeCovarianceMatrix(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::computeCovariances(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::computeFeature(), pcl::computeMeanAndCovarianceMatrix(), pcl::computePointNormal(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::copyPointCloud(), pcl::LineRGBD< PointXYZT, PointRGBT >::createAndAddTemplate(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::Edge< PointInT, PointOutT >::detectEdgePrewitt(), pcl::Edge< PointInT, PointOutT >::detectEdgeRoberts(), pcl::Edge< PointInT, PointOutT >::detectEdgeSobel(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SIFTKeypoint< PointInT, PointOutT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, 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< PointInT >::gaussianKernel(), pcl::getMeanPointDensity(), pcl::Morphology< PointT >::intersectionBinary(), pcl::LineRGBD< PointXYZT, PointRGBT >::loadTemplates(), pcl::kernel< PointInT >::loGKernel(), pcl::search::Search< PointXYZRGB >::nearestKSearch(), pcl::search::Search< PointXYZRGB >::nearestKSearchT(), pcl::MovingLeastSquares< PointInT, PointOutT >::performProcessing(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::MarchingCubes< PointNT >::performReconstruction(), pcl::PointCloud< pcl::RGB >::PointCloud(), pcl::io::pointCloudTovtkPolyData(), pcl::PPFRGBRegionEstimation< PointInT, PointNT, PointOutT >::PPFRGBRegionEstimation(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::search::Search< PointXYZRGB >::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::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setEdgeDataCloud(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setFaceDataCloud(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setHalfEdgeDataCloud(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::setInputSource(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::poisson::Octree< Degree >::setTree(), pcl::geometry::MeshBase< QuadMesh< MeshTraitsT >, MeshTraitsT, QuadMeshTag >::setVertexDataCloud(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::structuringElementRectangle(), pcl::Morphology< PointT >::subtractionBinary(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::track(), 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().

◆ swap()

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

Swap a point cloud with another cloud.

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

Definition at line 576 of file point_cloud.h.

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

Friends And Related Function Documentation

◆ detail::getMapping

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

Member Data Documentation

◆ header

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

The point cloud header.

It contains information about the acquisition time.

Definition at line 391 of file point_cloud.h.

Referenced by pcl::Registration< PointSource, PointTarget >::align(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::GASDEstimation< PointInT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointWithRange, Narf36 >::compute(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::features::computeApproximateNormals(), pcl::PointCloud< pcl::RGB >::concatenate(), pcl::concatenateFields(), pcl::copyPointCloud(), pcl::demeanPointCloud(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::SIFTKeypoint< PointInT, PointOutT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::gpu::extractEuclideanClusters(), pcl::extractEuclideanClusters(), pcl::gpu::extractLabeledEuclideanClusters(), pcl::extractLabeledEuclideanClusters(), pcl::Filter< pcl::PointXYZRGBL >::filter(), pcl::fromPCLPointCloud2(), pcl::MomentOfInertiaEstimation< PointT >::getEccentricity(), 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< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCircle3D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelSphere< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCylinder< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelCone< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::SurfaceReconstruction< PointNT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::SegmentDifferences< PointT >::segment(), pcl::PointCloud< pcl::RGB >::swap(), pcl::toPCLPointCloud2(), pcl::transformPointCloud(), and pcl::transformPointCloudWithNormals().

◆ height

template<typename PointT>
std::uint32_t pcl::PointCloud< PointT >::height = 0

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

Definition at line 399 of file point_cloud.h.

Referenced by pcl::visualization::ImageViewer::addMask(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::ImageViewer::addRectangle(), pcl::visualization::ImageViewer::addRGBImage(), pcl::Registration< PointSource, PointTarget >::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::ProjectInliers< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< pcl::PointXYZRGBL >::applyFilter(), pcl::VoxelGridCovariance< PointTarget >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::LineRGBD< PointXYZT, PointRGBT >::applyProjectiveDepthICPOnDetections(), pcl::Edge< PointInT, PointOutT >::canny(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::filters::Pyramid< PointT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::GASDEstimation< PointInT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::DisparityMapConverter< PointDEM >::compute(), pcl::Feature< PointWithRange, Narf36 >::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::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::ColorGradientDOTModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointRGBT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointRGBT >::computeMaxColorGradientsSobel(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::computePointSPFHSignature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::PointCloud< pcl::RGB >::concatenate(), 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::CPPFEstimation< PointInT, PointNT, PointOutT >::CPPFEstimation(), pcl::common::deleteCols(), pcl::common::deleteRows(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::kernel< PointInT >::derivativeXBackwardKernel(), pcl::kernel< PointInT >::derivativeXCentralKernel(), pcl::kernel< PointInT >::derivativeXForwardKernel(), pcl::kernel< PointInT >::derivativeYBackwardKernel(), pcl::kernel< PointInT >::derivativeYCentralKernel(), pcl::kernel< PointInT >::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::SIFTKeypoint< PointInT, PointOutT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::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::CVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature(), pcl::fromPCLPointCloud2(), pcl::kernel< PointInT >::gaussianKernel(), pcl::PCDWriter::generateHeader(), pcl::gpu::DataSource::generateSurface(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::MinCutSegmentation< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::MomentOfInertiaEstimation< PointT >::getEccentricity(), pcl::occlusion_reasoning::getOccludedCloud(), 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< PointInT >::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::PPFEstimation< PointInT, PointNT, PointOutT >::PPFEstimation(), pcl::PPFRGBEstimation< PointInT, PointNT, PointOutT >::PPFRGBEstimation(), pcl::kernel< PointInT >::prewittKernelX(), pcl::kernel< PointInT >::prewittKernelY(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::ColorGradientModality< PointRGBT >::processInputData(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::SampleConsensusModelCircle2D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCircle3D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelSphere< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCylinder< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelCone< pcl::PointXYZRGB, 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< PointNT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::kernel< PointInT >::robertsKernelX(), pcl::kernel< PointInT >::robertsKernelY(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::visualization::ImageViewer::showCorrespondences(), pcl::kernel< PointInT >::sobelKernelX(), pcl::kernel< PointInT >::sobelKernelY(), pcl::Edge< PointInT, PointOutT >::sobelMagnitudeDirection(), pcl::Morphology< PointT >::structuringElementCircular(), pcl::Morphology< PointT >::structuringElementRectangle(), pcl::Morphology< PointT >::subtractionBinary(), pcl::PointCloud< pcl::RGB >::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(), pcl::PCDWriter::writeASCII(), and pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::~OutofcoreOctreeDiskContainer().

◆ is_dense

template<typename PointT>
bool pcl::PointCloud< PointT >::is_dense = true

True if no points are invalid (e.g., have NaN or Inf values in any of their floating point fields).

Definition at line 402 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addPointCloud(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::Registration< PointSource, PointTarget >::align(), pcl::LocalMaximum< PointT >::applyFilter(), pcl::GridMinimum< PointT >::applyFilter(), pcl::ExtractIndices< PointT >::applyFilter(), pcl::RandomSample< PointT >::applyFilter(), pcl::UniformSampling< PointT >::applyFilter(), pcl::RadiusOutlierRemoval< PointT >::applyFilter(), pcl::StatisticalOutlierRemoval< PointT >::applyFilter(), pcl::NormalSpaceSampling< PointT, NormalT >::applyFilter(), pcl::CropBox< PointT >::applyFilter(), pcl::PassThrough< PointInT >::applyFilter(), pcl::ModelOutlierRemoval< PointT >::applyFilter(), pcl::FrustumCulling< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< pcl::PointXYZRGBL >::applyFilter(), pcl::VoxelGridCovariance< PointTarget >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::GASDEstimation< PointInT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointWithRange, Narf36 >::compute(), pcl::compute3DCentroid(), pcl::computeCentroid(), pcl::computeCovarianceMatrix(), pcl::IntensityGradientEstimation< PointInT, PointNT, PointOutT, IntensitySelectorT >::computeFeature(), pcl::SHOTLocalReferenceFrameEstimation< PointInT, PointOutT >::computeFeature(), pcl::MomentInvariantsEstimation< PointInT, PointOutT >::computeFeature(), pcl::SHOTLocalReferenceFrameEstimationOMP< 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::PFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::FPFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTColorEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::FLARELocalReferenceFrameEstimation< PointInT, PointNT, PointOutT, SignedDistanceT >::computeFeature(), pcl::SHOTEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::SHOTColorEstimation< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::NormalEstimation< PointInT, PointNT >::computeFeature(), pcl::IntegralImageNormalEstimation< pcl::PointXYZRGBA, pcl::Normal >::computeFeatureFull(), pcl::IntegralImageNormalEstimation< pcl::PointXYZRGBA, pcl::Normal >::computeFeaturePart(), pcl::computeMeanAndCovarianceMatrix(), pcl::PointCloud< pcl::RGB >::concatenate(), 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::CPPFEstimation< PointInT, PointNT, PointOutT >::CPPFEstimation(), pcl::demeanPointCloud(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::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::MinCutSegmentation< PointT >::getColoredCloud(), 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::operator<<(), pcl::ConcaveHull< PointInT >::performReconstruction(), pcl::GridProjection< PointNT >::performReconstruction(), pcl::ConvexHull< PointInT >::performReconstruction2D(), pcl::ConvexHull< PointInT >::performReconstruction3D(), pcl::io::pointCloudTovtkPolyData(), pcl::PPFEstimation< PointInT, PointNT, PointOutT >::PPFEstimation(), pcl::ColorGradientModality< PointRGBT >::processInputData(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::SampleConsensusModelCircle2D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCircle3D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelSphere< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCylinder< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelCone< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::io::LZFDepth16ImageReader::read(), pcl::io::LZFDepth16ImageReader::readOMP(), pcl::ConcaveHull< PointInT >::reconstruct(), pcl::ConvexHull< PointInT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::NormalEstimationOMP< PointInT, PointOutT >::setNumberOfThreads(), pcl::FPFHEstimationOMP< PointInT, PointNT, PointOutT >::setNumberOfThreads(), pcl::PointCloud< pcl::RGB >::swap(), pcl::toPCLPointCloud2(), pcl::transformPointCloud(), pcl::transformPointCloudWithNormals(), pcl::visualization::PCLVisualizer::updatePointCloud(), pcl::visualization::PCLVisualizer::updatePolygonMesh(), pcl::io::vtkPolyDataToPointCloud(), and pcl::io::vtkStructuredGridToPointCloud().

◆ mapping_

template<typename PointT>
std::shared_ptr<MsgFieldMap> pcl::PointCloud< PointT >::mapping_
protected

Definition at line 606 of file point_cloud.h.

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

◆ points

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

The point data.

Definition at line 394 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addCorrespondences(), pcl::visualization::PCLHistogramVisualizer::addFeatureHistogram(), pcl::visualization::PCLPlotter::addFeatureHistogram(), pcl::visualization::PCLVisualizer::addPointCloud(), pcl::visualization::PCLVisualizer::addPointCloudIntensityGradients(), pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::PCLVisualizer::addPointCloudPrincipalCurvatures(), pcl::visualization::PCLVisualizer::addPolygonMesh(), pcl::visualization::ImageViewer::addRectangle(), pcl::GASDEstimation< PointInT, PointOutT >::addSampleToHistograms(), pcl::LineRGBD< PointXYZT, PointRGBT >::addTemplate(), pcl::features::ISMVoteList< PointT >::addVote(), pcl::recognition::TrimmedICP< pcl::PointXYZ, float >::align(), pcl::Registration< PointSource, PointTarget >::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< PointInT >::applyFilter(), pcl::ModelOutlierRemoval< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< pcl::PointXYZRGBL >::applyFilter(), pcl::VoxelGridCovariance< PointTarget >::applyFilter(), pcl::ConditionalRemoval< PointT >::applyFilter(), pcl::octree::OctreePointCloudSearch< PointT, LeafTWrap, BranchTWrap >::approxNearestSearch(), pcl::UnaryClassifier< PointT >::assignLabels(), pcl::RangeImageBorderExtractor::calculateBorderDirection(), pcl::RangeImageBorderExtractor::calculateMainPrincipalCurvature(), pcl::ESFEstimation< PointInT, PointOutT >::cleanup9(), pcl::OrganizedEdgeBase< PointT, PointLT >::compute(), pcl::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::GASDEstimation< PointInT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::Feature< PointWithRange, Narf36 >::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::MomentInvariantsEstimation< PointInT, PointOutT >::computeFeature(), pcl::PrincipalCurvaturesEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::SHOTEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::computeFeature(), pcl::GRSDEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::LinearLeastSquaresNormalEstimation< PointInT, 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::PFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::FPFHEstimation< PointInT, PointNT, PointOutT >::computeFeature(), pcl::GASDEstimation< PointInT, PointOutT >::computeFeature(), pcl::SHOTColorEstimationOMP< PointInT, PointNT, PointOutT, PointRFT >::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, PointNT >::computeFeature(), pcl::IntegralImageNormalEstimation< pcl::PointXYZRGBA, pcl::Normal >::computeFeaturePart(), pcl::IntensitySpinEstimation< PointInT, PointOutT >::computeIntensitySpinImage(), pcl::ColorGradientDOTModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointRGBT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointRGBT >::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::computeRSD(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::PointCloud< pcl::RGB >::concatenate(), 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::CPPFEstimation< PointInT, PointNT, PointOutT >::CPPFEstimation(), pcl::LineRGBD< PointXYZT, PointRGBT >::createAndAddTemplate(), pcl::CrfSegmentation< PointT >::createDataVectorFromVoxelGrid(), pcl::visualization::createPolygon(), pcl::CrfSegmentation< PointT >::createUnaryPotentials(), pcl::CrfSegmentation< PointT >::createVoxelGrid(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::SmoothedSurfacesKeypoint< PointT, PointNT >::detectKeypoints(), pcl::HarrisKeypoint6D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SIFTKeypoint< PointInT, PointOutT >::detectKeypoints(), pcl::HarrisKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::detectKeypoints(), pcl::BriskKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::MultiscaleFeaturePersistence< PointSource, PointFeature >::determinePersistentFeatures(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::OptimizationFunctorWithIndices::df(), pcl::registration::TransformationEstimationDQ< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationDualQuaternion< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimation2D< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationSymmetricPointToPlaneLLS< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneLLS< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationPointToPlaneLLSWeighted< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationSVD< PointT, PointT, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimation3Point< PointSource, PointTarget, Scalar >::estimateRigidTransformation(), pcl::registration::TransformationEstimationLM< PointSource, PointTarget, Scalar >::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::gpu::extractEuclideanClusters(), pcl::extractEuclideanClusters(), pcl::io::PointCloudImageExtractorWithScaling< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromNormalField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromRGBField< PointT >::extractImpl(), pcl::io::PointCloudImageExtractorFromLabelField< PointT >::extractImpl(), pcl::gpu::extractLabeledEuclideanClusters(), pcl::extractLabeledEuclideanClusters(), pcl::people::GroundBasedPeopleDetectionApp< PointT >::extractRGBFromPointCloud(), pcl::GeneralizedIterativeClosestPoint< PointSource, PointTarget >::OptimizationFunctorWithIndices::fdf(), 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::features::ISMVoteList< PointT >::findStrongestPeaks(), pcl::ApproximateVoxelGrid< PointT >::flush(), pcl::fromPCLPointCloud2(), pcl::gpu::DataSource::generateColor(), pcl::PCDWriter::generateHeader(), pcl::gpu::DataSource::generateIndices(), pcl::gpu::DataSource::generateSurface(), pcl::getApproximateIndices(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::MinCutSegmentation< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::features::ISMVoteList< PointT >::getDensityAtPoint(), pcl::MomentOfInertiaEstimation< PointT >::getEccentricity(), pcl::kinfuLS::WorldModel< pcl::PointXYZI >::getExistingData(), pcl::getFeaturePointCloud(), pcl::Registration< PointSource, PointTarget >::getFitnessScore(), pcl::getMaxDistance(), pcl::getMaxSegment(), pcl::getMeanPointDensity(), pcl::getMinMax3D(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::getNumberOfThreads(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::getNumberOfThreads(), pcl::features::ISMVoteList< PointT >::getNumberOfVotes(), 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< PointXYZRGB >::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::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< pcl::RGB >::PointCloud(), pcl::PointCloudDepthAndRGBtoXYZRGBA(), pcl::PointCloudRGBtoI(), pcl::io::pointCloudTovtkPolyData(), pcl::PointCloudXYZRGBAtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZHSV(), pcl::PointCloudXYZRGBtoXYZI(), pcl::PPFEstimation< PointInT, PointNT, PointOutT >::PPFEstimation(), pcl::PPFRGBEstimation< PointInT, PointNT, PointOutT >::PPFRGBEstimation(), pcl::PPFRGBRegionEstimation< PointInT, PointNT, PointOutT >::PPFRGBRegionEstimation(), 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< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCircle3D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelSphere< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCylinder< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelCone< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::PCDGrabber< PointT >::publish(), pcl::UnaryClassifier< PointT >::queryFeatureDistances(), pcl::KdTreeFLANN< FeatureT >::radiusSearch(), pcl::octree::OctreePointCloudSearch< PointT, LeafTWrap, BranchTWrap >::radiusSearch(), pcl::KdTree< FeatureT >::radiusSearch(), pcl::search::Search< PointXYZRGB >::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::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::seededHueSegmentation(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::ExtractPolygonalPrismData< PointT >::segment(), pcl::OrganizedMultiPlaneSegmentation< pcl::PointXYZRGBA, pcl::Normal, pcl::Label >::segment(), pcl::OrganizedMultiPlaneSegmentation< pcl::PointXYZRGBA, pcl::Normal, pcl::Label >::segmentAndRefine(), pcl::CrfSegmentation< PointT >::segmentPoints(), pcl::MinCutSegmentation< PointT >::setBackgroundPoints(), pcl::PlanarPolygon< PointT >::setContour(), pcl::MinCutSegmentation< PointT >::setForegroundPoints(), pcl::NormalEstimationOMP< PointInT, PointOutT >::setNumberOfThreads(), pcl::FPFHEstimationOMP< PointInT, PointNT, PointOutT >::setNumberOfThreads(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::setPointsToTrack(), pcl::poisson::Octree< Degree >::setTree(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::shiftCloud(), pcl::features::ISMVoteList< PointT >::shiftMean(), pcl::TextureMapping< PointInT >::showOcclusions(), pcl::ism::ImplicitShapeModelEstimation< FeatureSize, PointT, NormalT >::simplifyCloud(), pcl::TextureMapping< PointInT >::sortFacesByCamera(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::spatialGradient(), pcl::PointCloud< pcl::RGB >::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::features::ISMVoteList< PointT >::validateTree(), pcl::ESFEstimation< PointInT, PointOutT >::voxelize9(), pcl::io::vtkPolyDataToPointCloud(), pcl::io::vtkStructuredGridToPointCloud(), pcl::PCDWriter::writeASCII(), pcl::PCDWriter::writeBinary(), pcl::PCDWriter::writeBinaryCompressed(), and pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::~OutofcoreOctreeDiskContainer().

◆ sensor_orientation_

template<typename PointT>
Eigen::Quaternionf pcl::PointCloud< PointT >::sensor_orientation_ = Eigen::Quaternionf::Identity ()

◆ sensor_origin_

template<typename PointT>
Eigen::Vector4f pcl::PointCloud< PointT >::sensor_origin_ = Eigen::Vector4f::Zero ()

◆ width

template<typename PointT>
std::uint32_t pcl::PointCloud< PointT >::width = 0

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

Definition at line 397 of file point_cloud.h.

Referenced by pcl::visualization::PCLVisualizer::addPointCloudNormals(), pcl::visualization::ImageViewer::addRGBImage(), pcl::Registration< PointSource, PointTarget >::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::ProjectInliers< PointT >::applyFilter(), pcl::ApproximateVoxelGrid< PointT >::applyFilter(), pcl::VoxelGrid< pcl::PointXYZRGBL >::applyFilter(), pcl::VoxelGridCovariance< PointTarget >::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::GFPFHEstimation< PointInT, PointLT, PointOutT >::compute(), pcl::filters::Pyramid< PointT >::compute(), pcl::BRISK2DEstimation< PointInT, PointOutT, KeypointT, IntensityT >::compute(), pcl::GASDEstimation< PointInT, PointOutT >::compute(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::compute(), pcl::DisparityMapConverter< PointDEM >::compute(), pcl::Feature< PointWithRange, Narf36 >::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::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< pcl::PointXYZRGBA, pcl::Normal >::computeFeatureFull(), pcl::IntegralImageNormalEstimation< pcl::PointXYZRGBA, pcl::Normal >::computeFeaturePart(), pcl::ColorGradientDOTModality< PointInT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointRGBT >::computeMaxColorGradients(), pcl::ColorGradientModality< PointRGBT >::computeMaxColorGradientsSobel(), pcl::VFHEstimation< PointInT, PointNT, PointOutT >::computePointSPFHSignature(), pcl::OURCVFHEstimation< PointInT, PointNT, PointOutT >::computeRFAndShapeDistribution(), pcl::LineRGBD< PointXYZT, PointRGBT >::computeTransformedTemplatePoints(), pcl::PointCloud< pcl::RGB >::concatenate(), 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::CPPFEstimation< PointInT, PointNT, PointOutT >::CPPFEstimation(), pcl::common::deleteCols(), pcl::common::deleteRows(), pcl::demeanPointCloud(), pcl::tracking::PyramidalKLTTracker< PointInT, IntensityT >::derivatives(), pcl::kernel< PointInT >::derivativeXBackwardKernel(), pcl::kernel< PointInT >::derivativeXCentralKernel(), pcl::kernel< PointInT >::derivativeXForwardKernel(), pcl::kernel< PointInT >::derivativeYBackwardKernel(), pcl::kernel< PointInT >::derivativeYCentralKernel(), pcl::kernel< PointInT >::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::SIFTKeypoint< PointInT, PointOutT >::detectKeypoints(), pcl::TrajkovicKeypoint2D< PointInT, PointOutT, IntensityT >::detectKeypoints(), pcl::TrajkovicKeypoint3D< PointInT, PointOutT, NormalT >::detectKeypoints(), pcl::SUSANKeypoint< PointInT, PointOutT, NormalT, IntensityT >::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::CVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature(), pcl::fromPCLPointCloud2(), pcl::kernel< PointInT >::gaussianKernel(), pcl::PCDWriter::generateHeader(), pcl::gpu::DataSource::generateSurface(), pcl::UnaryClassifier< PointT >::getCloudWithLabel(), pcl::features::ISMVoteList< PointT >::getColoredCloud(), pcl::MinCutSegmentation< PointT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloud(), pcl::RegionGrowing< PointT, NormalT >::getColoredCloudRGBA(), pcl::MomentOfInertiaEstimation< PointT >::getEccentricity(), pcl::occlusion_reasoning::getOccludedCloud(), 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< PointInT >::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::PPFEstimation< PointInT, PointNT, PointOutT >::PPFEstimation(), pcl::PPFRGBEstimation< PointInT, PointNT, PointOutT >::PPFRGBEstimation(), pcl::kernel< PointInT >::prewittKernelX(), pcl::kernel< PointInT >::prewittKernelY(), pcl::CloudSurfaceProcessing< PointInT, PointOutT >::process(), pcl::BilateralUpsampling< PointInT, PointOutT >::process(), pcl::MovingLeastSquares< PointInT, PointOutT >::process(), pcl::ColorGradientModality< PointRGBT >::processInputData(), pcl::SampleConsensusModelLine< PointT >::projectPoints(), pcl::SampleConsensusModelStick< PointT >::projectPoints(), pcl::SampleConsensusModelCircle2D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCircle3D< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelSphere< pcl::PointXYZRGB >::projectPoints(), pcl::SampleConsensusModelCylinder< pcl::PointXYZRGB, PointNT >::projectPoints(), pcl::SampleConsensusModelPlane< PointT >::projectPoints(), pcl::SampleConsensusModelCone< pcl::PointXYZRGB, 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< PointNT >::reconstruct(), pcl::removeNaNFromPointCloud(), pcl::removeNaNNormalsFromPointCloud(), pcl::kernel< PointInT >::robertsKernelX(), pcl::kernel< PointInT >::robertsKernelY(), pcl::OrganizedConnectedComponentSegmentation< PointT, PointLT >::segment(), pcl::SegmentDifferences< PointT >::segment(), pcl::DisparityMapConverter< PointDEM >::setImage(), pcl::visualization::ImageViewer::showCorrespondences(), pcl::kernel< PointInT >::sobelKernelX(), pcl::kernel< PointInT >::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< pcl::RGB >::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(), pcl::PCDWriter::writeASCII(), and pcl::outofcore::OutofcoreOctreeDiskContainer< PointT >::~OutofcoreOctreeDiskContainer().


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