Point Cloud Library (PCL)  1.14.1-dev
List of all members | Public Types | Public Member Functions | Protected Member Functions
pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT > Class Template Reference

Similar to the Point Feature Histogram descriptor, but also takes color into account. More...

#include <pcl/features/pfhrgb.h>

+ Inheritance diagram for pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >:
+ Collaboration diagram for pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >:

Public Types

using Ptr = shared_ptr< PFHRGBEstimation< PointInT, PointNT, PointOutT > >
 
using ConstPtr = shared_ptr< const PFHRGBEstimation< PointInT, PointNT, PointOutT > >
 
using PointCloudOut = typename Feature< PointInT, PointOutT >::PointCloudOut
 
- Public Types inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::PFHRGBSignature250 >
using PointCloudN = pcl::PointCloud< PointNT >
 
using PointCloudNPtr = typename PointCloudN::Ptr
 
using PointCloudNConstPtr = typename PointCloudN::ConstPtr
 
using Ptr = shared_ptr< FeatureFromNormals< PointInT, PointNT, pcl::PFHRGBSignature250 > >
 
using ConstPtr = shared_ptr< const FeatureFromNormals< PointInT, PointNT, pcl::PFHRGBSignature250 > >
 
- Public Types inherited from pcl::Feature< PointInT, PointOutT >
using BaseClass = PCLBase< PointInT >
 
using Ptr = shared_ptr< Feature< PointInT, PointOutT > >
 
using ConstPtr = shared_ptr< const Feature< PointInT, PointOutT > >
 
using KdTree = pcl::search::Search< PointInT >
 
using KdTreePtr = typename KdTree::Ptr
 
using PointCloudIn = pcl::PointCloud< PointInT >
 
using PointCloudInPtr = typename PointCloudIn::Ptr
 
using PointCloudInConstPtr = typename PointCloudIn::ConstPtr
 
using PointCloudOut = pcl::PointCloud< PointOutT >
 
using SearchMethod = std::function< int(std::size_t, double, pcl::Indices &, std::vector< float > &)>
 
using SearchMethodSurface = std::function< int(const PointCloudIn &cloud, std::size_t index, double, pcl::Indices &, std::vector< float > &)>
 
- Public Types inherited from pcl::PCLBase< PointInT >
using PointCloud = pcl::PointCloud< PointInT >
 
using PointCloudPtr = typename PointCloud::Ptr
 
using PointCloudConstPtr = typename PointCloud::ConstPtr
 
using PointIndicesPtr = PointIndices::Ptr
 
using PointIndicesConstPtr = PointIndices::ConstPtr
 

Public Member Functions

 PFHRGBEstimation ()
 
bool computeRGBPairFeatures (const pcl::PointCloud< PointInT > &cloud, const pcl::PointCloud< PointNT > &normals, int p_idx, int q_idx, float &f1, float &f2, float &f3, float &f4, float &f5, float &f6, float &f7)
 
void computePointPFHRGBSignature (const pcl::PointCloud< PointInT > &cloud, const pcl::PointCloud< PointNT > &normals, const pcl::Indices &indices, int nr_split, Eigen::VectorXf &pfhrgb_histogram)
 
- Public Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::PFHRGBSignature250 >
 FeatureFromNormals ()
 Empty constructor. More...
 
void setInputNormals (const PointCloudNConstPtr &normals)
 Provide a pointer to the input dataset that contains the point normals of the XYZ dataset. More...
 
PointCloudNConstPtr getInputNormals () const
 Get a pointer to the normals of the input XYZ point cloud dataset. More...
 
- Public Member Functions inherited from pcl::Feature< PointInT, PointOutT >
 Feature ()
 Empty constructor. More...
 
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. More...
 
PointCloudInConstPtr getSearchSurface () const
 Get a pointer to the surface point cloud dataset. More...
 
void setSearchMethod (const KdTreePtr &tree)
 Provide a pointer to the search object. More...
 
KdTreePtr getSearchMethod () const
 Get a pointer to the search method used. More...
 
double getSearchParameter () const
 Get the internal search parameter. More...
 
void setKSearch (int k)
 Set the number of k nearest neighbors to use for the feature estimation. More...
 
int getKSearch () const
 get the number of k nearest neighbors used for the feature estimation. More...
 
void setRadiusSearch (double radius)
 Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More...
 
double getRadiusSearch () const
 Get the sphere radius used for determining the neighbors. More...
 
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 () More...
 
- Public Member Functions inherited from pcl::PCLBase< PointInT >
 PCLBase ()
 Empty constructor. More...
 
 PCLBase (const PCLBase &base)
 Copy constructor. More...
 
virtual ~PCLBase ()=default
 Destructor. More...
 
virtual void setInputCloud (const PointCloudConstPtr &cloud)
 Provide a pointer to the input dataset. More...
 
PointCloudConstPtr const getInputCloud () const
 Get a pointer to the input point cloud dataset. More...
 
virtual void setIndices (const IndicesPtr &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
virtual void setIndices (const IndicesConstPtr &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
virtual void setIndices (const PointIndicesConstPtr &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
virtual void setIndices (std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols)
 Set the indices for the points laying within an interest region of the point cloud. More...
 
IndicesPtr getIndices ()
 Get a pointer to the vector of indices used. More...
 
IndicesConstPtr const getIndices () const
 Get a pointer to the vector of indices used. More...
 
const PointInT & operator[] (std::size_t pos) const
 Override PointCloud operator[] to shorten code. More...
 

Protected Member Functions

void computeFeature (PointCloudOut &output) override
 Abstract feature estimation method. More...
 
- Protected Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::PFHRGBSignature250 >
virtual bool initCompute ()
 This method should get called before starting the actual computation. More...
 
- Protected Member Functions inherited from pcl::Feature< PointInT, PointOutT >
const std::string & getClassName () const
 Get a string representation of the name of this class. More...
 
virtual bool deinitCompute ()
 This method should get called after ending the actual computation. More...
 
int searchForNeighbors (std::size_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const
 Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
 
int searchForNeighbors (const PointCloudIn &cloud, std::size_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const
 Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More...
 
- Protected Member Functions inherited from pcl::PCLBase< PointInT >
bool initCompute ()
 This method should get called before starting the actual computation. More...
 
bool deinitCompute ()
 This method should get called after finishing the actual computation. More...
 

Additional Inherited Members

- Protected Attributes inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::PFHRGBSignature250 >
PointCloudNConstPtr normals_
 A pointer to the input dataset that contains the point normals of the XYZ dataset. More...
 
- Protected Attributes inherited from pcl::Feature< PointInT, PointOutT >
std::string feature_name_
 The feature name. More...
 
SearchMethodSurface search_method_surface_
 The search method template for points. More...
 
PointCloudInConstPtr surface_
 An input point cloud describing the surface that is to be used for nearest neighbors estimation. More...
 
KdTreePtr tree_
 A pointer to the spatial search object. More...
 
double search_parameter_
 The actual search parameter (from either search_radius_ or k_). More...
 
double search_radius_
 The nearest neighbors search radius for each point. More...
 
int k_
 The number of K nearest neighbors to use for each point. More...
 
bool fake_surface_
 If no surface is given, we use the input PointCloud as the surface. More...
 
- Protected Attributes inherited from pcl::PCLBase< PointInT >
PointCloudConstPtr input_
 The input point cloud dataset. More...
 
IndicesPtr indices_
 A pointer to the vector of point indices to use. More...
 
bool use_indices_
 Set to true if point indices are used. More...
 
bool fake_indices_
 If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. More...
 

Detailed Description

template<typename PointInT, typename PointNT, typename PointOutT = pcl::PFHRGBSignature250>
class pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >

Similar to the Point Feature Histogram descriptor, but also takes color into account.

See also PFHEstimation

Definition at line 50 of file pfhrgb.h.

Member Typedef Documentation

◆ ConstPtr

template<typename PointInT , typename PointNT , typename PointOutT = pcl::PFHRGBSignature250>
using pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::ConstPtr = shared_ptr<const PFHRGBEstimation<PointInT, PointNT, PointOutT> >

Definition at line 54 of file pfhrgb.h.

◆ PointCloudOut

template<typename PointInT , typename PointNT , typename PointOutT = pcl::PFHRGBSignature250>
using pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::PointCloudOut = typename Feature<PointInT, PointOutT>::PointCloudOut

Definition at line 61 of file pfhrgb.h.

◆ Ptr

template<typename PointInT , typename PointNT , typename PointOutT = pcl::PFHRGBSignature250>
using pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::Ptr = shared_ptr<PFHRGBEstimation<PointInT, PointNT, PointOutT> >

Definition at line 53 of file pfhrgb.h.

Constructor & Destructor Documentation

◆ PFHRGBEstimation()

template<typename PointInT , typename PointNT , typename PointOutT = pcl::PFHRGBSignature250>
pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::PFHRGBEstimation ( )
inline

Definition at line 64 of file pfhrgb.h.

References pcl::Feature< PointInT, PointOutT >::feature_name_.

Member Function Documentation

◆ computeFeature()

template<typename PointInT , typename PointNT , typename PointOutT >
void pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::computeFeature ( PointCloudOut output)
overrideprotectedvirtual

Abstract feature estimation method.

Parameters
[out]outputthe resultant features

nr_subdiv^3 for RGB and nr_subdiv^3 for the angular features

Implements pcl::Feature< PointInT, PointOutT >.

Definition at line 135 of file pfhrgb.hpp.

◆ computePointPFHRGBSignature()

template<typename PointInT , typename PointNT , typename PointOutT >
void pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::computePointPFHRGBSignature ( const pcl::PointCloud< PointInT > &  cloud,
const pcl::PointCloud< PointNT > &  normals,
const pcl::Indices indices,
int  nr_split,
Eigen::VectorXf &  pfhrgb_histogram 
)

Definition at line 64 of file pfhrgb.hpp.

References pcl::computeRGBPairFeatures(), and M_PI.

◆ computeRGBPairFeatures()

template<typename PointInT , typename PointNT , typename PointOutT >
bool pcl::PFHRGBEstimation< PointInT, PointNT, PointOutT >::computeRGBPairFeatures ( const pcl::PointCloud< PointInT > &  cloud,
const pcl::PointCloud< PointNT > &  normals,
int  p_idx,
int  q_idx,
float &  f1,
float &  f2,
float &  f3,
float &  f4,
float &  f5,
float &  f6,
float &  f7 
)

Definition at line 47 of file pfhrgb.hpp.

References pcl::computeRGBPairFeatures().


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