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 |
Detailed Description
template<typename PointT>
class pcl::EuclideanClusterExtraction< PointT >
EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense.
Definition at line 295 of file extract_clusters.h.
Member Typedef Documentation
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.
Constructor & Destructor Documentation
| pcl::EuclideanClusterExtraction< PointT >::EuclideanClusterExtraction | ( | ) | [inline] |
Empty constructor.
Definition at line 312 of file extract_clusters.h.
Member Function Documentation
| void pcl::EuclideanClusterExtraction< PointT >::extract | ( | std::vector< PointIndices > & | clusters | ) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()>
- Parameters:
-
[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.
- Todo:
- fix this for a generic search tree
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.
- Parameters:
-
[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.
- Parameters:
-
[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.
- Parameters:
-
[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.
- Parameters:
-
[in] tree a pointer to the spatial search object.
Definition at line 322 of file extract_clusters.h.
Member Data Documentation
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.
The documentation for this class was generated from the following files: