Point Cloud Library (PCL)
1.3.1
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EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense. More...
#include <pcl/segmentation/extract_clusters.h>
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 | |
EuclideanClusterExtraction () | |
Empty constructor. | |
void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. | |
KdTreePtr | getSearchMethod () |
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. | |
double | getClusterTolerance () |
Get the spatial cluster tolerance as a measure in the L2 Euclidean space. | |
void | setMinClusterSize (int min_cluster_size) |
Set the minimum number of points that a cluster needs to contain in order to be considered valid. | |
int | getMinClusterSize () |
Get the minimum number of points that a cluster needs to contain in order to be considered valid. | |
void | setMaxClusterSize (int max_cluster_size) |
Set the maximum number of points that a cluster needs to contain in order to be considered valid. | |
int | getMaxClusterSize () |
Get the maximum number of points that a cluster needs to contain in order to be considered valid. | |
void | extract (std::vector< PointIndices > &clusters) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()> | |
virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
Provide a pointer to the input dataset. | |
PointCloudConstPtr const | getInputCloud () |
Get a pointer to the input point cloud dataset. | |
void | setIndices (const IndicesPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. | |
void | setIndices (const PointIndicesConstPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. | |
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. | |
IndicesPtr const | getIndices () |
Get a pointer to the vector of indices used. | |
const PointT & | operator[] (size_t pos) |
Override PointCloud operator[] to shorten code. |
EuclideanClusterExtraction represents a segmentation class for cluster extraction in an Euclidean sense.
typedef pcl::search::Search<PointT> pcl::EuclideanClusterExtraction::KdTree |
Definition at line 292 of file extract_clusters.h.
typedef pcl::search::Search<PointT>::Ptr pcl::EuclideanClusterExtraction::KdTreePtr |
Definition at line 293 of file extract_clusters.h.
typedef pcl::PointCloud<PointT> pcl::EuclideanClusterExtraction::PointCloud |
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 288 of file extract_clusters.h.
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 290 of file extract_clusters.h.
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 289 of file extract_clusters.h.
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 296 of file extract_clusters.h.
Reimplemented from pcl::PCLBase< PointT >.
Definition at line 295 of file extract_clusters.h.
pcl::EuclideanClusterExtraction::EuclideanClusterExtraction | ( | ) | [inline] |
Empty constructor.
Definition at line 300 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction::extract | ( | std::vector< PointIndices > & | clusters | ) |
Cluster extraction in a PointCloud given by <setInputCloud (), setIndices ()>
clusters | the resultant point clusters |
Definition at line 197 of file extract_clusters.hpp.
double pcl::EuclideanClusterExtraction::getClusterTolerance | ( | ) | [inline] |
Get the spatial cluster tolerance as a measure in the L2 Euclidean space.
Definition at line 318 of file extract_clusters.h.
IndicesPtr const pcl::PCLBase::getIndices | ( | ) | [inline, inherited] |
Get a pointer to the vector of indices used.
Definition at line 171 of file pcl_base.h.
PointCloudConstPtr const pcl::PCLBase::getInputCloud | ( | ) | [inline, inherited] |
Get a pointer to the input point cloud dataset.
Definition at line 99 of file pcl_base.h.
int pcl::EuclideanClusterExtraction::getMaxClusterSize | ( | ) | [inline] |
Get the maximum number of points that a cluster needs to contain in order to be considered valid.
Definition at line 334 of file extract_clusters.h.
int pcl::EuclideanClusterExtraction::getMinClusterSize | ( | ) | [inline] |
Get the minimum number of points that a cluster needs to contain in order to be considered valid.
Definition at line 326 of file extract_clusters.h.
KdTreePtr pcl::EuclideanClusterExtraction::getSearchMethod | ( | ) | [inline] |
Get a pointer to the search method used.
Definition at line 310 of file extract_clusters.h.
const PointT& pcl::PCLBase::operator[] | ( | size_t | pos | ) | [inline, inherited] |
Override PointCloud operator[] to shorten code.
pos | position in indices_ vector |
Definition at line 178 of file pcl_base.h.
void pcl::EuclideanClusterExtraction::setClusterTolerance | ( | double | tolerance | ) | [inline] |
Set the spatial cluster tolerance as a measure in the L2 Euclidean space.
tolerance | the spatial cluster tolerance as a measure in the L2 Euclidean space |
Definition at line 315 of file extract_clusters.h.
void pcl::PCLBase::setIndices | ( | const IndicesPtr & | indices | ) | [inline, inherited] |
Provide a pointer to the vector of indices that represents the input data.
indices | a pointer to the vector of indices that represents the input data. |
Definition at line 105 of file pcl_base.h.
void pcl::PCLBase::setIndices | ( | const PointIndicesConstPtr & | indices | ) | [inline, inherited] |
Provide a pointer to the vector of indices that represents the input data.
indices | a pointer to the vector of indices that represents the input data. |
Definition at line 116 of file pcl_base.h.
void pcl::PCLBase::setIndices | ( | size_t | row_start, |
size_t | col_start, | ||
size_t | nb_rows, | ||
size_t | nb_cols | ||
) | [inline, inherited] |
Set the indices for the points laying within an interest region of the point cloud.
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 132 of file pcl_base.h.
virtual void pcl::PCLBase::setInputCloud | ( | const PointCloudConstPtr & | cloud | ) | [inline, virtual, inherited] |
Provide a pointer to the input dataset.
cloud | the const boost shared pointer to a PointCloud message |
Definition at line 95 of file pcl_base.h.
void pcl::EuclideanClusterExtraction::setMaxClusterSize | ( | int | max_cluster_size | ) | [inline] |
Set the maximum number of points that a cluster needs to contain in order to be considered valid.
max_cluster_size | the maximum cluster size |
Definition at line 331 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction::setMinClusterSize | ( | int | min_cluster_size | ) | [inline] |
Set the minimum number of points that a cluster needs to contain in order to be considered valid.
min_cluster_size | the minimum cluster size |
Definition at line 323 of file extract_clusters.h.
void pcl::EuclideanClusterExtraction::setSearchMethod | ( | const KdTreePtr & | tree | ) | [inline] |
Provide a pointer to the search object.
tree | a pointer to the spatial search object. |
Definition at line 307 of file extract_clusters.h.