EuclideanLabeledClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense, depending on pcl::gpu::octree More...

#include </build/pcl-qv3n_B/pcl-1.8.1+dfsg1/gpu/segmentation/include/pcl/gpu/segmentation/gpu_extract_labeled_clusters.h>

Public Types
typedef pcl::PointXYZ	PointType

typedef pcl::PointCloud< PointT >	PointCloudHost

typedef PointCloudHost::Ptr	PointCloudHostPtr

typedef PointCloudHost::ConstPtr	PointCloudHostConstPtr

typedef PointIndices::Ptr	PointIndicesPtr

typedef PointIndices::ConstPtr	PointIndicesConstPtr

typedef pcl::gpu::Octree	GPUTree

typedef pcl::gpu::Octree::Ptr	GPUTreePtr

typedef pcl::gpu::Octree::PointCloud	CloudDevice

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

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

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

void	setInput (CloudDevice input)

void	setHostCloud (PointCloudHostPtr host_cloud)

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

Protected Member Functions
virtual std::string	getClassName () const
	Class getName method. More...

Protected Attributes
CloudDevice	input_
	the input cloud on the GPU More...

PointCloudHostPtr	host_cloud_
	the original cloud the Host More...

GPUTreePtr	tree_
	A pointer to the spatial search object. More...

double	cluster_tolerance_
	The spatial cluster tolerance as a measure in the L2 Euclidean space. More...

int	min_pts_per_cluster_
	The minimum number of points that a cluster needs to contain in order to be considered valid (default = 1). More...

int	max_pts_per_cluster_
	The maximum number of points that a cluster needs to contain in order to be considered valid (default = MAXINT). More...

Detailed Description

template<typename PointT>
class pcl::gpu::EuclideanLabeledClusterExtraction< PointT >

EuclideanLabeledClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense, depending on pcl::gpu::octree

Author: Koen Buys, Radu Bogdan Rusu

Definition at line 67 of file gpu_extract_labeled_clusters.h.

Member Typedef Documentation

◆ CloudDevice

template<typename PointT >

typedef pcl::gpu::Octree::PointCloud pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::CloudDevice

Definition at line 81 of file gpu_extract_labeled_clusters.h.

◆ GPUTree

template<typename PointT >

typedef pcl::gpu::Octree pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::GPUTree

Definition at line 78 of file gpu_extract_labeled_clusters.h.

◆ GPUTreePtr

template<typename PointT >

typedef pcl::gpu::Octree::Ptr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::GPUTreePtr

Definition at line 79 of file gpu_extract_labeled_clusters.h.

◆ PointCloudHost

template<typename PointT >

typedef pcl::PointCloud<PointT> pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointCloudHost

Definition at line 71 of file gpu_extract_labeled_clusters.h.

◆ PointCloudHostConstPtr

template<typename PointT >

typedef PointCloudHost::ConstPtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointCloudHostConstPtr

Definition at line 73 of file gpu_extract_labeled_clusters.h.

◆ PointCloudHostPtr

template<typename PointT >

typedef PointCloudHost::Ptr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointCloudHostPtr

Definition at line 72 of file gpu_extract_labeled_clusters.h.

◆ PointIndicesConstPtr

template<typename PointT >

typedef PointIndices::ConstPtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointIndicesConstPtr

Definition at line 76 of file gpu_extract_labeled_clusters.h.

◆ PointIndicesPtr

template<typename PointT >

typedef PointIndices::Ptr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointIndicesPtr

Definition at line 75 of file gpu_extract_labeled_clusters.h.

◆ PointType

template<typename PointT >

typedef pcl::PointXYZ pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::PointType

Definition at line 70 of file gpu_extract_labeled_clusters.h.

Constructor & Destructor Documentation

◆ EuclideanLabeledClusterExtraction()

template<typename PointT >

pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::EuclideanLabeledClusterExtraction ( )

inline

Empty constructor.

Definition at line 85 of file gpu_extract_labeled_clusters.h.

Member Function Documentation

◆ extract()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::extract ( std::vector< PointIndices > & clusters )

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

Parameters

clusters the resultant point clusters

Definition at line 150 of file gpu_extract_labeled_clusters.hpp.

References pcl::gpu::compareLabeledPointClusters(), and pcl::extractLabeledEuclideanClusters().

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setHostCloud().

◆ getClassName()

template<typename PointT >

virtual std::string pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getClassName ( ) const

inlineprotectedvirtual

Class getName method.

Definition at line 151 of file gpu_extract_labeled_clusters.h.

◆ getClusterTolerance()

template<typename PointT >

double pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getClusterTolerance ( )

inline

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

Definition at line 104 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::cluster_tolerance_.

◆ getMaxClusterSize()

template<typename PointT >

int pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getMaxClusterSize ( )

inline

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

Definition at line 120 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::max_pts_per_cluster_.

◆ getMinClusterSize()

template<typename PointT >

int pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getMinClusterSize ( )

inline

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

Definition at line 112 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::min_pts_per_cluster_.

◆ getSearchMethod()

template<typename PointT >

GPUTreePtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getSearchMethod ( )

inline

Get a pointer to the search method used.

Definition at line 96 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::tree_.

◆ setClusterTolerance()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setClusterTolerance ( double tolerance )

inline

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

Parameters

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

Definition at line 101 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::cluster_tolerance_.

◆ setHostCloud()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setHostCloud ( PointCloudHostPtr host_cloud )

inline

Definition at line 124 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::extract(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::host_cloud_.

◆ setInput()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setInput ( CloudDevice input )

inline

Definition at line 122 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::input_.

◆ setMaxClusterSize()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< 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

max_cluster_size the maximum cluster size

Definition at line 117 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::max_pts_per_cluster_.

◆ setMinClusterSize()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< 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

min_cluster_size the minimum cluster size

Definition at line 109 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::min_pts_per_cluster_.

◆ setSearchMethod()

template<typename PointT >

void pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setSearchMethod ( const GPUTreePtr & tree )

inline

Provide a pointer to the search object.

Parameters

tree	a pointer to the spatial search object.

Definition at line 91 of file gpu_extract_labeled_clusters.h.

References pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::tree_.

Member Data Documentation

◆ cluster_tolerance_

template<typename PointT >

double pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::cluster_tolerance_

protected

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

Definition at line 142 of file gpu_extract_labeled_clusters.h.

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getClusterTolerance(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setClusterTolerance().

◆ host_cloud_

template<typename PointT >

PointCloudHostPtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::host_cloud_

protected

the original cloud the Host

Definition at line 136 of file gpu_extract_labeled_clusters.h.

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setHostCloud().

◆ input_

template<typename PointT >

CloudDevice pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::input_

protected

the input cloud on the GPU

Definition at line 133 of file gpu_extract_labeled_clusters.h.

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setInput().

◆ max_pts_per_cluster_

template<typename PointT >

int pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::max_pts_per_cluster_

protected

The maximum number of points that a cluster needs to contain in order to be considered valid (default = MAXINT).

Definition at line 148 of file gpu_extract_labeled_clusters.h.

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getMaxClusterSize(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setMaxClusterSize().

◆ min_pts_per_cluster_

template<typename PointT >

int pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::min_pts_per_cluster_

protected

The minimum number of points that a cluster needs to contain in order to be considered valid (default = 1).

Definition at line 145 of file gpu_extract_labeled_clusters.h.

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getMinClusterSize(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setMinClusterSize().

◆ tree_

template<typename PointT >

GPUTreePtr pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::tree_

protected

A pointer to the spatial search object.

Definition at line 139 of file gpu_extract_labeled_clusters.h.

Referenced by pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::getSearchMethod(), and pcl::gpu::EuclideanLabeledClusterExtraction< PointT >::setSearchMethod().

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

/build/pcl-qv3n_B/pcl-1.8.1+dfsg1/gpu/segmentation/include/pcl/gpu/segmentation/gpu_extract_labeled_clusters.h
/build/pcl-qv3n_B/pcl-1.8.1+dfsg1/gpu/segmentation/include/pcl/gpu/segmentation/impl/gpu_extract_labeled_clusters.hpp

Public Types

Public Member Functions

Protected Member Functions

Protected Attributes

Detailed Description

template<typename PointT> class pcl::gpu::EuclideanLabeledClusterExtraction< PointT >

Member Typedef Documentation

◆ CloudDevice

◆ GPUTree

◆ GPUTreePtr

◆ PointCloudHost

◆ PointCloudHostConstPtr

◆ PointCloudHostPtr

◆ PointIndicesConstPtr

◆ PointIndicesPtr

◆ PointType

Constructor & Destructor Documentation

◆ EuclideanLabeledClusterExtraction()

Member Function Documentation

◆ extract()

◆ getClassName()

◆ getClusterTolerance()

◆ getMaxClusterSize()

◆ getMinClusterSize()

◆ getSearchMethod()

◆ setClusterTolerance()

◆ setHostCloud()

◆ setInput()

◆ setMaxClusterSize()

◆ setMinClusterSize()

◆ setSearchMethod()

Member Data Documentation

◆ cluster_tolerance_

◆ host_cloud_

◆ input_

◆ max_pts_per_cluster_

◆ min_pts_per_cluster_

◆ tree_

template<typename PointT>
class pcl::gpu::EuclideanLabeledClusterExtraction< PointT >