Point Cloud Library (PCL)
1.3.1
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Feature represents the base feature class. More...
#include <pcl/features/feature.h>
Public Types | |
typedef PCLBase< PointInT > | BaseClass |
typedef boost::shared_ptr < Feature< PointInT, PointOutT > > | Ptr |
typedef boost::shared_ptr < const Feature< PointInT, PointOutT > > | ConstPtr |
typedef pcl::search::Search < PointInT > | KdTree |
typedef pcl::search::Search < PointInT >::Ptr | KdTreePtr |
typedef pcl::PointCloud< PointInT > | PointCloudIn |
typedef PointCloudIn::Ptr | PointCloudInPtr |
typedef PointCloudIn::ConstPtr | PointCloudInConstPtr |
typedef pcl::PointCloud < PointOutT > | PointCloudOut |
typedef boost::function< int(size_t, double, std::vector< int > &, std::vector< float > &)> | SearchMethod |
typedef boost::function< int(const PointCloudIn &cloud, size_t index, double, std::vector < int > &, std::vector< float > &)> | SearchMethodSurface |
typedef pcl::PointCloud< PointT > | PointCloud |
typedef PointCloud::Ptr | PointCloudPtr |
typedef PointCloud::ConstPtr | PointCloudConstPtr |
typedef PointIndices::Ptr | PointIndicesPtr |
typedef PointIndices::ConstPtr | PointIndicesConstPtr |
Public Member Functions | |
Feature () | |
Empty constructor. | |
void | setSearchSurface (const PointCloudInConstPtr &cloud) |
Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset. | |
PointCloudInConstPtr | getSearchSurface () |
Get a pointer to the surface point cloud dataset. | |
void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. | |
KdTreePtr | getSearchMethod () |
Get a pointer to the search method used. | |
double | getSearchParameter () |
Get the internal search parameter. | |
void | setKSearch (int k) |
Set the number of k nearest neighbors to use for the feature estimation. | |
int | getKSearch () |
get the number of k nearest neighbors used for the feature estimation. | |
void | setRadiusSearch (double radius) |
Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. | |
double | getRadiusSearch () |
Get the sphere radius used for determining the neighbors. | |
void | compute (PointCloudOut &output) |
Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () | |
int | searchForNeighbors (size_t index, double parameter, std::vector< int > &indices, std::vector< float > &distances) const |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. | |
int | searchForNeighbors (const PointCloudIn &cloud, size_t index, double parameter, std::vector< int > &indices, std::vector< float > &distances) const |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. | |
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. |
Feature represents the base feature class.
Some generic 3D operations that are applicable to all features are defined here as static methods.
typedef PCLBase<PointInT> pcl::Feature::BaseClass |
Reimplemented in pcl::RangeImageBorderExtractor, and pcl::NarfDescriptor.
typedef boost::shared_ptr< const Feature<PointInT, PointOutT> > pcl::Feature::ConstPtr |
Reimplemented in pcl::FeatureFromNormals.
typedef pcl::search::Search<PointInT> pcl::Feature::KdTree |
typedef pcl::search::Search<PointInT>::Ptr pcl::Feature::KdTreePtr |
typedef pcl::PointCloud<PointT> pcl::PCLBase::PointCloud [inherited] |
Definition at line 74 of file pcl_base.h.
typedef PointCloud::ConstPtr pcl::PCLBase::PointCloudConstPtr [inherited] |
Definition at line 76 of file pcl_base.h.
typedef pcl::PointCloud<PointInT> pcl::Feature::PointCloudIn |
Reimplemented in pcl::UniqueShapeContext, pcl::IntegralImageNormalEstimation, pcl::RIFTEstimation, and pcl::IntensitySpinEstimation.
typedef pcl::PointCloud<PointOutT> pcl::Feature::PointCloudOut |
typedef PointCloud::Ptr pcl::PCLBase::PointCloudPtr [inherited] |
Definition at line 75 of file pcl_base.h.
typedef PointIndices::ConstPtr pcl::PCLBase::PointIndicesConstPtr [inherited] |
Definition at line 79 of file pcl_base.h.
typedef PointIndices::Ptr pcl::PCLBase::PointIndicesPtr [inherited] |
Definition at line 78 of file pcl_base.h.
typedef boost::shared_ptr< Feature<PointInT, PointOutT> > pcl::Feature::Ptr |
Reimplemented in pcl::FeatureFromNormals.
typedef boost::function<int (size_t, double, std::vector<int> &, std::vector<float> &)> pcl::Feature::SearchMethod |
typedef boost::function<int (const PointCloudIn &cloud, size_t index, double, std::vector<int> &, std::vector<float> &)> pcl::Feature::SearchMethodSurface |
void pcl::Feature::compute | ( | PointCloudOut & | output | ) |
Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()
output | the resultant point cloud model dataset containing the estimated features |
Reimplemented in pcl::NarfDescriptor.
Definition at line 249 of file feature.hpp.
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::Feature::getKSearch | ( | ) | [inline] |
double pcl::Feature::getRadiusSearch | ( | ) | [inline] |
KdTreePtr pcl::Feature::getSearchMethod | ( | ) | [inline] |
double pcl::Feature::getSearchParameter | ( | ) | [inline] |
PointCloudInConstPtr pcl::Feature::getSearchSurface | ( | ) | [inline] |
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.
int pcl::Feature::searchForNeighbors | ( | size_t | index, |
double | parameter, | ||
std::vector< int > & | indices, | ||
std::vector< float > & | distances | ||
) | const [inline] |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface.
index | the index of the query point |
parameter | the search parameter (either k or radius) |
indices | the resultant vector of indices representing the k-nearest neighbors |
distances | the resultant vector of distances representing the distances from the query point to the k-nearest neighbors |
int pcl::Feature::searchForNeighbors | ( | const PointCloudIn & | cloud, |
size_t | index, | ||
double | parameter, | ||
std::vector< int > & | indices, | ||
std::vector< float > & | distances | ||
) | const [inline] |
Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface.
cloud | the query point cloud |
index | the index of the query point in cloud |
parameter | the search parameter (either k or radius) |
indices | the resultant vector of indices representing the k-nearest neighbors |
distances | the resultant vector of distances representing the distances from the query point to the k-nearest neighbors |
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::Feature::setKSearch | ( | int | k | ) | [inline] |
void pcl::Feature::setRadiusSearch | ( | double | radius | ) | [inline] |
void pcl::Feature::setSearchMethod | ( | const KdTreePtr & | tree | ) | [inline] |
void pcl::Feature::setSearchSurface | ( | const PointCloudInConstPtr & | cloud | ) | [inline] |
Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset.
This is optional, if this is not set, it will only use the data in the input cloud to estimate the features. This is useful when you only need to compute the features for a downsampled cloud.
cloud | a pointer to a PointCloud message |