LabeledEuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense, with label info. More...

#include <pcl/segmentation/extract_labeled_clusters.h>

Inheritance diagram for pcl::LabeledEuclideanClusterExtraction< PointT >:

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Collaboration diagram for pcl::LabeledEuclideanClusterExtraction< PointT >:

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Public Types
typedef pcl::PointCloud< PointT >	PointCloud

typedef PointCloud::Ptr	PointCloudPtr

typedef PointCloud::ConstPtr	PointCloudConstPtr

typedef pcl::search::Search < PointT >	KdTree

typedef pcl::search::Search < PointT >::Ptr	KdTreePtr

typedef PointIndices::Ptr	PointIndicesPtr

typedef PointIndices::ConstPtr	PointIndicesConstPtr

Public Member Functions
	LabeledEuclideanClusterExtraction ()
	Empty constructor. More...

void	setSearchMethod (const KdTreePtr &tree)
	Provide a pointer to the search object. More...

KdTreePtr	getSearchMethod () const
	Get a pointer to the search method used. More...

void	setClusterTolerance (double tolerance)
	Set the spatial cluster tolerance as a measure in the L2 Euclidean space. More...

double	getClusterTolerance () const
	Get the spatial cluster tolerance as a measure in the L2 Euclidean space. More...

void	setMinClusterSize (int min_cluster_size)
	Set the minimum number of points that a cluster needs to contain in order to be considered valid. More...

int	getMinClusterSize () const
	Get the minimum number of points that a cluster needs to contain in order to be considered valid. More...

void	setMaxClusterSize (int max_cluster_size)
	Set the maximum number of points that a cluster needs to contain in order to be considered valid. More...

int	getMaxClusterSize () const
	Get the maximum number of points that a cluster needs to contain in order to be considered valid. More...

void	setMaxLabels (unsigned int max_label)
	Set the maximum number of labels in the cloud. More...

unsigned int	getMaxLabels () const
	Get the maximum number of labels. More...

void	extract (std::vector< std::vector< PointIndices > > &labeled_clusters)
	Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()> More...

virtual void	setInputCloud (const PointCloudConstPtr &cloud)
	Provide a pointer to the input dataset. More...

PointCloudConstPtr const	getInputCloud ()
	Get a pointer to the input point cloud dataset. More...

void	setIndices (const IndicesPtr &indices)
	Provide a pointer to the vector of indices that represents the input data. More...

void	setIndices (const IndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data. More...

void	setIndices (const PointIndicesConstPtr &indices)
	Provide a pointer to the vector of indices that represents the input data. More...

void	setIndices (size_t row_start, size_t col_start, size_t nb_rows, size_t nb_cols)
	Set the indices for the points laying within an interest region of the point cloud. More...

IndicesPtr const	getIndices ()
	Get a pointer to the vector of indices used. More...

const PointT &	operator[] (size_t pos)
	Override PointCloud operator[] to shorten code. More...

Detailed Description

template<typename PointT>
class pcl::LabeledEuclideanClusterExtraction< PointT >

LabeledEuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense, with label info.

Author: Koen Buys

Definition at line 71 of file extract_labeled_clusters.h.

Member Typedef Documentation

template<typename PointT >

typedef pcl::search::Search<PointT> pcl::LabeledEuclideanClusterExtraction< PointT >::KdTree

Definition at line 80 of file extract_labeled_clusters.h.

template<typename PointT >

typedef pcl::search::Search<PointT>::Ptr pcl::LabeledEuclideanClusterExtraction< PointT >::KdTreePtr

Definition at line 81 of file extract_labeled_clusters.h.

template<typename PointT >

typedef pcl::PointCloud<PointT> pcl::LabeledEuclideanClusterExtraction< PointT >::PointCloud

Definition at line 76 of file extract_labeled_clusters.h.

template<typename PointT >

typedef PointCloud::ConstPtr pcl::LabeledEuclideanClusterExtraction< PointT >::PointCloudConstPtr

Definition at line 78 of file extract_labeled_clusters.h.

template<typename PointT >

typedef PointCloud::Ptr pcl::LabeledEuclideanClusterExtraction< PointT >::PointCloudPtr

Definition at line 77 of file extract_labeled_clusters.h.

template<typename PointT >

typedef PointIndices::ConstPtr pcl::LabeledEuclideanClusterExtraction< PointT >::PointIndicesConstPtr

Definition at line 84 of file extract_labeled_clusters.h.

template<typename PointT >

typedef PointIndices::Ptr pcl::LabeledEuclideanClusterExtraction< PointT >::PointIndicesPtr

Definition at line 83 of file extract_labeled_clusters.h.

Constructor & Destructor Documentation

template<typename PointT >

pcl::LabeledEuclideanClusterExtraction< PointT >::LabeledEuclideanClusterExtraction ( )

inline

Empty constructor.

Definition at line 88 of file extract_labeled_clusters.h.

Member Function Documentation

template<typename PointT >

void pcl::LabeledEuclideanClusterExtraction< PointT >::extract ( std::vector< std::vector< PointIndices > > & labeled_clusters)

Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()>

Parameters

[out] labeled_clusters the resultant point clusters

Definition at line 123 of file extract_labeled_clusters.hpp.

template<typename PointT >

double pcl::LabeledEuclideanClusterExtraction< PointT >::getClusterTolerance ( ) const

inline

Get the spatial cluster tolerance as a measure in the L2 Euclidean space.

Definition at line 114 of file extract_labeled_clusters.h.

template<typename PointT>

IndicesPtr const pcl::PCLBase< PointT >::getIndices ( )

inlineinherited

Get a pointer to the vector of indices used.

Definition at line 190 of file pcl_base.h.

template<typename PointT>

PointCloudConstPtr const pcl::PCLBase< PointT >::getInputCloud ( )

inlineinherited

Get a pointer to the input point cloud dataset.

Definition at line 107 of file pcl_base.h.

template<typename PointT >

int pcl::LabeledEuclideanClusterExtraction< PointT >::getMaxClusterSize ( ) const

inline

Get the maximum number of points that a cluster needs to contain in order to be considered valid.

Definition at line 134 of file extract_labeled_clusters.h.

template<typename PointT >

unsigned int pcl::LabeledEuclideanClusterExtraction< PointT >::getMaxLabels ( ) const

inline

Get the maximum number of labels.

Definition at line 144 of file extract_labeled_clusters.h.

template<typename PointT >

int pcl::LabeledEuclideanClusterExtraction< PointT >::getMinClusterSize ( ) const

inline

Get the minimum number of points that a cluster needs to contain in order to be considered valid.

Definition at line 124 of file extract_labeled_clusters.h.

template<typename PointT >

KdTreePtr pcl::LabeledEuclideanClusterExtraction< PointT >::getSearchMethod ( ) const

inline

Get a pointer to the search method used.

Definition at line 104 of file extract_labeled_clusters.h.

template<typename PointT>

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

inlineinherited

Override PointCloud operator[] to shorten code.

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

Parameters

pos	position in indices_ vector

Definition at line 197 of file pcl_base.h.

template<typename PointT >

void pcl::LabeledEuclideanClusterExtraction< PointT >::setClusterTolerance ( double tolerance)

inline

Set the spatial cluster tolerance as a measure in the L2 Euclidean space.

Parameters

[in] tolerance the spatial cluster tolerance as a measure in the L2 Euclidean space

Definition at line 110 of file extract_labeled_clusters.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices ( const IndicesPtr & indices)

inlineinherited

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

Parameters

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

Definition at line 113 of file pcl_base.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices ( const IndicesConstPtr & indices)

inlineinherited

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

Parameters

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

Definition at line 124 of file pcl_base.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices ( const PointIndicesConstPtr & indices)

inlineinherited

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

Parameters

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

Definition at line 135 of file pcl_base.h.

template<typename PointT>

void pcl::PCLBase< PointT >::setIndices	(	size_t	row_start,
		size_t	col_start,
		size_t	nb_rows,
		size_t	nb_cols
	)

inlineinherited

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

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

Parameters

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

Definition at line 151 of file pcl_base.h.

template<typename PointT>

virtual void pcl::PCLBase< PointT >::setInputCloud ( const PointCloudConstPtr & cloud)

inlinevirtualinherited

Provide a pointer to the input dataset.

Parameters

cloud the const boost shared pointer to a PointCloud message

Reimplemented in pcl::PCA< PointT >.

Definition at line 103 of file pcl_base.h.

template<typename PointT >

void pcl::LabeledEuclideanClusterExtraction< PointT >::setMaxClusterSize ( int max_cluster_size)

inline

Set the maximum number of points that a cluster needs to contain in order to be considered valid.

Parameters

[in] max_cluster_size the maximum cluster size

Definition at line 130 of file extract_labeled_clusters.h.

template<typename PointT >

void pcl::LabeledEuclideanClusterExtraction< PointT >::setMaxLabels ( unsigned int max_label)

inline

Set the maximum number of labels in the cloud.

Parameters

[in] max_label the maximum

Definition at line 140 of file extract_labeled_clusters.h.

template<typename PointT >

void pcl::LabeledEuclideanClusterExtraction< PointT >::setMinClusterSize ( int min_cluster_size)

inline

Set the minimum number of points that a cluster needs to contain in order to be considered valid.

Parameters

[in] min_cluster_size the minimum cluster size

Definition at line 120 of file extract_labeled_clusters.h.

template<typename PointT >

void pcl::LabeledEuclideanClusterExtraction< PointT >::setSearchMethod ( const KdTreePtr & tree)

inline

Provide a pointer to the search object.

Parameters

[in] tree a pointer to the spatial search object.

Definition at line 100 of file extract_labeled_clusters.h.

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

/builddir/build/BUILD/PCL-1.6.0-Source/segmentation/include/pcl/segmentation/extract_labeled_clusters.h
/builddir/build/BUILD/PCL-1.6.0-Source/segmentation/include/pcl/segmentation/impl/extract_labeled_clusters.hpp

Public Types

Public Member Functions

Detailed Description

template<typename PointT> class pcl::LabeledEuclideanClusterExtraction< PointT >

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

template<typename PointT>
class pcl::LabeledEuclideanClusterExtraction< PointT >