EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense. More...
#include <extract_clusters.h>
Public Types | |
typedef pcl::search::Search < PointT > | KdTree |
typedef pcl::search::Search < PointT >::Ptr | KdTreePtr |
typedef pcl::PointCloud< PointT > | PointCloud |
typedef PointCloud::ConstPtr | PointCloudConstPtr |
typedef PointCloud::Ptr | PointCloudPtr |
typedef PointIndices::ConstPtr | PointIndicesConstPtr |
typedef PointIndices::Ptr | PointIndicesPtr |
Public Member Functions | |
EuclideanClusterExtraction () | |
Empty constructor. | |
void | extract (std::vector< PointIndices > &clusters) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()> | |
double | getClusterTolerance () const |
Get the spatial cluster tolerance as a measure in the L2 Euclidean space. | |
int | getMaxClusterSize () const |
Get the maximum number of points that a cluster needs to contain in order to be considered valid. | |
int | getMinClusterSize () const |
Get the minimum number of points that a cluster needs to contain in order to be considered valid. | |
KdTreePtr | getSearchMethod () const |
Get a pointer to the search method used. | |
void | setClusterTolerance (double tolerance) |
Set the spatial cluster tolerance as a measure in the L2 Euclidean space. | |
void | setMaxClusterSize (int max_cluster_size) |
Set the maximum number of points that a cluster needs to contain in order to be considered valid. | |
void | setMinClusterSize (int min_cluster_size) |
Set the minimum number of points that a cluster needs to contain in order to be considered valid. | |
void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. | |
Protected Member Functions | |
virtual std::string | getClassName () const |
Class getName method. | |
Protected Attributes | |
double | cluster_tolerance_ |
The spatial cluster tolerance as a measure in the L2 Euclidean space. | |
int | max_pts_per_cluster_ |
The maximum number of points that a cluster needs to contain in order to be considered valid (default = MAXINT). | |
int | min_pts_per_cluster_ |
The minimum number of points that a cluster needs to contain in order to be considered valid (default = 1). | |
KdTreePtr | tree_ |
A pointer to the spatial search object. | |
Private Types | |
typedef PCLBase< PointT > | BasePCLBase |
EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense.
Definition at line 295 of file extract_clusters.h.
typedef PCLBase<PointT> pcl::EuclideanClusterExtraction< PointT >::BasePCLBase [private] |
Definition at line 297 of file extract_clusters.h.
typedef pcl::search::Search<PointT> pcl::EuclideanClusterExtraction< PointT >::KdTree |
Definition at line 304 of file extract_clusters.h.
typedef pcl::search::Search<PointT>::Ptr pcl::EuclideanClusterExtraction< PointT >::KdTreePtr |
Definition at line 305 of file extract_clusters.h.
typedef pcl::PointCloud<PointT> pcl::EuclideanClusterExtraction< PointT >::PointCloud |
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 300 of file extract_clusters.h.
typedef PointCloud::ConstPtr pcl::EuclideanClusterExtraction< PointT >::PointCloudConstPtr |
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 302 of file extract_clusters.h.
typedef PointCloud::Ptr pcl::EuclideanClusterExtraction< PointT >::PointCloudPtr |
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 301 of file extract_clusters.h.
typedef PointIndices::ConstPtr pcl::EuclideanClusterExtraction< PointT >::PointIndicesConstPtr |
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 308 of file extract_clusters.h.
typedef PointIndices::Ptr pcl::EuclideanClusterExtraction< PointT >::PointIndicesPtr |
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 307 of file extract_clusters.h.
pcl::EuclideanClusterExtraction< PointT >::EuclideanClusterExtraction | ( | ) | [inline] |
Empty constructor.
Definition at line 312 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction< PointT >::extract | ( | std::vector< PointIndices > & | clusters | ) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()>
[out] | clusters | the resultant point clusters |
Definition at line 206 of file extract_clusters.hpp.
virtual std::string pcl::EuclideanClusterExtraction< PointT >::getClassName | ( | ) | const [inline, protected, virtual] |
Class getName method.
Definition at line 410 of file extract_clusters.h.
double pcl::EuclideanClusterExtraction< PointT >::getClusterTolerance | ( | ) | const [inline] |
Get the spatial cluster tolerance as a measure in the L2 Euclidean space.
Definition at line 347 of file extract_clusters.h.
int pcl::EuclideanClusterExtraction< 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 379 of file extract_clusters.h.
int pcl::EuclideanClusterExtraction< 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 363 of file extract_clusters.h.
KdTreePtr pcl::EuclideanClusterExtraction< PointT >::getSearchMethod | ( | ) | const [inline] |
Get a pointer to the search method used.
Definition at line 331 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction< PointT >::setClusterTolerance | ( | double | tolerance | ) | [inline] |
Set the spatial cluster tolerance as a measure in the L2 Euclidean space.
[in] | tolerance | the spatial cluster tolerance as a measure in the L2 Euclidean space |
Definition at line 340 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction< 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.
[in] | max_cluster_size | the maximum cluster size |
Definition at line 372 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction< 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.
[in] | min_cluster_size | the minimum cluster size |
Definition at line 356 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction< PointT >::setSearchMethod | ( | const KdTreePtr & | tree | ) | [inline] |
Provide a pointer to the search object.
[in] | tree | a pointer to the spatial search object. |
Definition at line 322 of file extract_clusters.h.
double pcl::EuclideanClusterExtraction< PointT >::cluster_tolerance_ [protected] |
The spatial cluster tolerance as a measure in the L2 Euclidean space.
Definition at line 401 of file extract_clusters.h.
int pcl::EuclideanClusterExtraction< 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 407 of file extract_clusters.h.
int pcl::EuclideanClusterExtraction< 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 404 of file extract_clusters.h.
KdTreePtr pcl::EuclideanClusterExtraction< PointT >::tree_ [protected] |
A pointer to the spatial search object.
Definition at line 398 of file extract_clusters.h.