pcl::RSDEstimation< PointInT, PointNT, PointOutT > Class Template Reference

RSDEstimation estimates the Radius-based Surface Descriptor (minimal and maximal radius of the local surface's curves) for a given point cloud dataset containing points and normals. More...

#include <rsd.h>

Inheritance diagram for pcl::RSDEstimation< PointInT, PointNT, PointOutT >:
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List of all members.

Public Types

typedef Feature< PointInT,
PointOutT >::PointCloudIn 
PointCloudIn
typedef Feature< PointInT,
PointOutT >::PointCloudOut 
PointCloudOut

Public Member Functions

int getNrSubdivisions ()
 Get the number of subdivisions for the considered distance interval.
double getPlaneRadius ()
 Get the maximum radius, above which everything can be considered planar.
 RSDEstimation ()
 Empty constructor.
void setKSearch (int)
 Disables the setting of the number of k nearest neighbors to use for the feature estimation.
void setNrSubdivisions (int nr_subdiv)
 Set the number of subdivisions for the considered distance interval.
void setPlaneRadius (double plane_radius)
 Set the maximum radius, above which everything can be considered planar.

Protected Member Functions

void computeFeature (PointCloudOut &output)
 Estimate the estimates the Radius-based Surface Descriptor (RSD) at a set of points given by <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ().

Private Attributes

int nr_subdiv_
 The upper bound for the considered distance interval.
double plane_radius_
 The maximum radius, above which everything can be considered planar.

Detailed Description

template<typename PointInT, typename PointNT, typename PointOutT>
class pcl::RSDEstimation< PointInT, PointNT, PointOutT >

RSDEstimation estimates the Radius-based Surface Descriptor (minimal and maximal radius of the local surface's curves) for a given point cloud dataset containing points and normals.

Note:
If you use this code in any academic work, please cite:
Note:
The code is stateful as we do not expect this class to be multicore parallelized.
Author:
Zoltan-Csaba Marton

Definition at line 77 of file rsd.h.


Member Typedef Documentation

template<typename PointInT, typename PointNT, typename PointOutT>
typedef Feature<PointInT, PointOutT>::PointCloudIn pcl::RSDEstimation< PointInT, PointNT, PointOutT >::PointCloudIn

Reimplemented from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >.

Definition at line 89 of file rsd.h.

template<typename PointInT, typename PointNT, typename PointOutT>
typedef Feature<PointInT, PointOutT>::PointCloudOut pcl::RSDEstimation< PointInT, PointNT, PointOutT >::PointCloudOut

Reimplemented from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >.

Definition at line 88 of file rsd.h.


Constructor & Destructor Documentation

template<typename PointInT, typename PointNT, typename PointOutT>
pcl::RSDEstimation< PointInT, PointNT, PointOutT >::RSDEstimation (  )  [inline]

Empty constructor.

Definition at line 92 of file rsd.h.


Member Function Documentation

template<typename PointInT , typename PointNT , typename PointOutT >
void pcl::RSDEstimation< PointInT, PointNT, PointOutT >::computeFeature ( PointCloudOut output  )  [inline, protected, virtual]

Estimate the estimates the Radius-based Surface Descriptor (RSD) at a set of points given by <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ().

Parameters:
output the resultant point cloud model dataset that contains the RSD feature estimates (r_min and r_max values)

Implements pcl::Feature< PointInT, PointOutT >.

Definition at line 115 of file rsd.hpp.

template<typename PointInT, typename PointNT, typename PointOutT>
int pcl::RSDEstimation< PointInT, PointNT, PointOutT >::getNrSubdivisions (  )  [inline]

Get the number of subdivisions for the considered distance interval.

Definition at line 103 of file rsd.h.

template<typename PointInT, typename PointNT, typename PointOutT>
double pcl::RSDEstimation< PointInT, PointNT, PointOutT >::getPlaneRadius (  )  [inline]

Get the maximum radius, above which everything can be considered planar.

Definition at line 113 of file rsd.h.

template<typename PointInT, typename PointNT, typename PointOutT>
void pcl::RSDEstimation< PointInT, PointNT, PointOutT >::setKSearch ( int   )  [inline]

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

Reimplemented from pcl::Feature< PointInT, PointOutT >.

Definition at line 116 of file rsd.h.

template<typename PointInT, typename PointNT, typename PointOutT>
void pcl::RSDEstimation< PointInT, PointNT, PointOutT >::setNrSubdivisions ( int  nr_subdiv  )  [inline]

Set the number of subdivisions for the considered distance interval.

Parameters:
nr_subdiv the number of subdivisions

Definition at line 100 of file rsd.h.

template<typename PointInT, typename PointNT, typename PointOutT>
void pcl::RSDEstimation< PointInT, PointNT, PointOutT >::setPlaneRadius ( double  plane_radius  )  [inline]

Set the maximum radius, above which everything can be considered planar.

Note:
the order of magnitude should be around 10-20 times the search radius (0.2 works well for typical datasets).
on accurate 3D data (e.g. kinect) a search radius as low as 0.01 still gives good results.
Parameters:
plane_radius the new plane radius

Definition at line 110 of file rsd.h.


Member Data Documentation

template<typename PointInT, typename PointNT, typename PointOutT>
int pcl::RSDEstimation< PointInT, PointNT, PointOutT >::nr_subdiv_ [private]

The upper bound for the considered distance interval.

The number of subdivisions for the considered distance interval.

Definition at line 133 of file rsd.h.

template<typename PointInT, typename PointNT, typename PointOutT>
double pcl::RSDEstimation< PointInT, PointNT, PointOutT >::plane_radius_ [private]

The maximum radius, above which everything can be considered planar.

Definition at line 136 of file rsd.h.


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Author(s): See http://pcl.ros.org/authors for the complete list of authors.
autogenerated on Fri Jan 11 09:57:21 2013