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pcl::NarfDescriptor Class Reference

Computes NARF feature descriptors for points in a range image More...

#include <pcl/features/narf_descriptor.h>

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Classes

struct  Parameters
 

Public Types

typedef Feature
< PointWithRange, Narf36
BaseClass
 
typedef boost::shared_ptr
< Feature< PointWithRange,
Narf36 > > 
Ptr
 
typedef boost::shared_ptr
< const Feature
< PointWithRange, Narf36 > > 
ConstPtr
 
typedef pcl::search::Search
< PointWithRange
KdTree
 
typedef pcl::search::Search
< PointWithRange >::Ptr 
KdTreePtr
 
typedef pcl::PointCloud
< PointWithRange
PointCloudIn
 
typedef PointCloudIn::Ptr PointCloudInPtr
 
typedef PointCloudIn::ConstPtr PointCloudInConstPtr
 
typedef pcl::PointCloud< Narf36PointCloudOut
 
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
< PointWithRange
PointCloud
 
typedef PointCloud::Ptr PointCloudPtr
 
typedef PointCloud::ConstPtr PointCloudConstPtr
 
typedef PointIndices::Ptr PointIndicesPtr
 
typedef PointIndices::ConstPtr PointIndicesConstPtr
 

Public Member Functions

 NarfDescriptor (const RangeImage *range_image=NULL, const std::vector< int > *indices=NULL)
 Constructor. More...
 
 ~NarfDescriptor ()
 Destructor. More...
 
void setRangeImage (const RangeImage *range_image, const std::vector< int > *indices=NULL)
 Set input data. More...
 
void compute (PointCloudOut &output)
 Overwrite the compute function of the base class. More...
 
ParametersgetParameters ()
 Get a reference to the parameters struct. 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 computeEigen (pcl::PointCloud< Eigen::MatrixXf > &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...
 
virtual void setInputCloud (const PointCloudConstPtr &cloud)
 Provide a pointer to the input dataset. More...
 
PointCloudConstPtr const getInputCloud ()
 Get a pointer to the input point cloud dataset. More...
 
void setIndices (const IndicesPtr &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
void setIndices (const IndicesConstPtr &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
void setIndices (const PointIndicesConstPtr &indices)
 Provide a pointer to the vector of indices that represents the input data. More...
 
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. More...
 
IndicesPtr const getIndices ()
 Get a pointer to the vector of indices used. More...
 
const PointWithRangeoperator[] (size_t pos)
 Override PointCloud operator[] to shorten code. More...
 

Detailed Description

Computes NARF feature descriptors for points in a range image

Author
Bastian Steder

Definition at line 53 of file narf_descriptor.h.

Member Typedef Documentation

Definition at line 57 of file narf_descriptor.h.

typedef boost::shared_ptr< const Feature<PointWithRange , Narf36 > > pcl::Feature< PointWithRange , Narf36 >::ConstPtr
inherited

Definition at line 113 of file feature.h.

Definition at line 115 of file feature.h.

Definition at line 116 of file feature.h.

Definition at line 74 of file pcl_base.h.

Definition at line 76 of file pcl_base.h.

Definition at line 118 of file feature.h.

Definition at line 120 of file feature.h.

Definition at line 119 of file feature.h.

Definition at line 122 of file feature.h.

Definition at line 75 of file pcl_base.h.

Definition at line 79 of file pcl_base.h.

Definition at line 78 of file pcl_base.h.

typedef boost::shared_ptr< Feature<PointWithRange , Narf36 > > pcl::Feature< PointWithRange , Narf36 >::Ptr
inherited

Definition at line 112 of file feature.h.

typedef boost::function<int (size_t, double, std::vector<int> &, std::vector<float> &)> pcl::Feature< PointWithRange , Narf36 >::SearchMethod
inherited

Definition at line 124 of file feature.h.

typedef boost::function<int (const PointCloudIn &cloud, size_t index, double, std::vector<int> &, std::vector<float> &)> pcl::Feature< PointWithRange , Narf36 >::SearchMethodSurface
inherited

Definition at line 125 of file feature.h.

Constructor & Destructor Documentation

pcl::NarfDescriptor::NarfDescriptor ( const RangeImage range_image = NULL,
const std::vector< int > *  indices = NULL 
)

Constructor.

pcl::NarfDescriptor::~NarfDescriptor ( )

Destructor.

Member Function Documentation

void pcl::NarfDescriptor::compute ( PointCloudOut output)

Overwrite the compute function of the base class.

void pcl::Feature< PointWithRange , Narf36 >::computeEigen ( pcl::PointCloud< Eigen::MatrixXf > &  output)
inherited

Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()

Parameters
[out]outputthe resultant point cloud model dataset containing the estimated features
IndicesPtr const pcl::PCLBase< PointWithRange >::getIndices ( )
inlineinherited

Get a pointer to the vector of indices used.

Definition at line 190 of file pcl_base.h.

PointCloudConstPtr const pcl::PCLBase< PointWithRange >::getInputCloud ( )
inlineinherited

Get a pointer to the input point cloud dataset.

Definition at line 107 of file pcl_base.h.

int pcl::Feature< PointWithRange , Narf36 >::getKSearch ( ) const
inlineinherited

get the number of k nearest neighbors used for the feature estimation.

Definition at line 186 of file feature.h.

Parameters& pcl::NarfDescriptor::getParameters ( )
inline

Get a reference to the parameters struct.

Definition at line 85 of file narf_descriptor.h.

double pcl::Feature< PointWithRange , Narf36 >::getRadiusSearch ( ) const
inlineinherited

Get the sphere radius used for determining the neighbors.

Definition at line 203 of file feature.h.

KdTreePtr pcl::Feature< PointWithRange , Narf36 >::getSearchMethod ( ) const
inlineinherited

Get a pointer to the search method used.

Definition at line 166 of file feature.h.

double pcl::Feature< PointWithRange , Narf36 >::getSearchParameter ( ) const
inlineinherited

Get the internal search parameter.

Definition at line 173 of file feature.h.

PointCloudInConstPtr pcl::Feature< PointWithRange , Narf36 >::getSearchSurface ( ) const
inlineinherited

Get a pointer to the surface point cloud dataset.

Definition at line 153 of file feature.h.

const PointWithRange & pcl::PCLBase< PointWithRange >::operator[] ( size_t  pos)
inlineinherited

Override PointCloud operator[] to shorten code.

Note
this method can be called instead of (*input_)[(*indices_)[pos]] or input_->points[(*indices_)[pos]]
Parameters
posposition in indices_ vector

Definition at line 197 of file pcl_base.h.

void pcl::PCLBase< PointWithRange >::setIndices ( const IndicesPtr indices)
inlineinherited

Provide a pointer to the vector of indices that represents the input data.

Parameters
indicesa pointer to the vector of indices that represents the input data.

Definition at line 113 of file pcl_base.h.

void pcl::PCLBase< PointWithRange >::setIndices ( const IndicesConstPtr indices)
inlineinherited

Provide a pointer to the vector of indices that represents the input data.

Parameters
indicesa pointer to the vector of indices that represents the input data.

Definition at line 124 of file pcl_base.h.

void pcl::PCLBase< PointWithRange >::setIndices ( const PointIndicesConstPtr indices)
inlineinherited

Provide a pointer to the vector of indices that represents the input data.

Parameters
indicesa pointer to the vector of indices that represents the input data.

Definition at line 135 of file pcl_base.h.

void pcl::PCLBase< PointWithRange >::setIndices ( size_t  row_start,
size_t  col_start,
size_t  nb_rows,
size_t  nb_cols 
)
inlineinherited

Set the indices for the points laying within an interest region of the point cloud.

Note
you shouldn't call this method on unorganized point clouds!
Parameters
row_startthe offset on rows
col_startthe offset on columns
nb_rowsthe number of rows to be considered row_start included
nb_colsthe number of columns to be considered col_start included

Definition at line 151 of file pcl_base.h.

virtual void pcl::PCLBase< PointWithRange >::setInputCloud ( const PointCloudConstPtr cloud)
inlinevirtualinherited

Provide a pointer to the input dataset.

Parameters
cloudthe const boost shared pointer to a PointCloud message

Definition at line 103 of file pcl_base.h.

void pcl::Feature< PointWithRange , Narf36 >::setKSearch ( int  k)
inlineinherited

Set the number of k nearest neighbors to use for the feature estimation.

Parameters
[in]kthe number of k-nearest neighbors

Definition at line 182 of file feature.h.

void pcl::Feature< PointWithRange , Narf36 >::setRadiusSearch ( double  radius)
inlineinherited

Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation.

Parameters
[in]radiusthe sphere radius used as the maximum distance to consider a point a neighbor

Definition at line 196 of file feature.h.

void pcl::NarfDescriptor::setRangeImage ( const RangeImage range_image,
const std::vector< int > *  indices = NULL 
)

Set input data.

void pcl::Feature< PointWithRange , Narf36 >::setSearchMethod ( const KdTreePtr tree)
inlineinherited

Provide a pointer to the search object.

Parameters
[in]treea pointer to the spatial search object.

Definition at line 162 of file feature.h.

void pcl::Feature< PointWithRange , Narf36 >::setSearchSurface ( const PointCloudInConstPtr cloud)
inlineinherited

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.

Parameters
[in]clouda pointer to a PointCloud message

Definition at line 144 of file feature.h.


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