Public Types | Public Member Functions | Protected Attributes
pcl::SampleConsensusModelFromNormals< PointT, PointNT > Class Template Reference

SampleConsensusModelFromNormals represents the base model class for models that require the use of surface normals for estimation. More...

#include <sac_model.h>

Inheritance diagram for pcl::SampleConsensusModelFromNormals< PointT, PointNT >:
Inheritance graph
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List of all members.

Public Types

typedef boost::shared_ptr
< const
SampleConsensusModelFromNormals
ConstPtr
typedef pcl::PointCloud
< PointNT >::ConstPtr 
PointCloudNConstPtr
typedef pcl::PointCloud
< PointNT >::Ptr 
PointCloudNPtr
typedef boost::shared_ptr
< SampleConsensusModelFromNormals
Ptr

Public Member Functions

PointCloudNConstPtr getInputNormals ()
 Get a pointer to the normals of the input XYZ point cloud dataset.
double getNormalDistanceWeight ()
 Get the normal angular distance weight.
 SampleConsensusModelFromNormals ()
 Empty constructor for base SampleConsensusModelFromNormals.
void setInputNormals (const PointCloudNConstPtr &normals)
 Provide a pointer to the input dataset that contains the point normals of the XYZ dataset.
void setNormalDistanceWeight (const double w)
 Set the normal angular distance weight.
virtual ~SampleConsensusModelFromNormals ()
 Destructor.

Protected Attributes

double normal_distance_weight_
 The relative weight (between 0 and 1) to give to the angular distance (0 to pi/2) between point normals and the plane normal.
PointCloudNConstPtr normals_
 A pointer to the input dataset that contains the point normals of the XYZ dataset.

Detailed Description

template<typename PointT, typename PointNT>
class pcl::SampleConsensusModelFromNormals< PointT, PointNT >

SampleConsensusModelFromNormals represents the base model class for models that require the use of surface normals for estimation.

Definition at line 503 of file sac_model.h.


Member Typedef Documentation

template<typename PointT, typename PointNT>
typedef boost::shared_ptr<const SampleConsensusModelFromNormals> pcl::SampleConsensusModelFromNormals< PointT, PointNT >::ConstPtr

Definition at line 510 of file sac_model.h.

template<typename PointT, typename PointNT>
typedef pcl::PointCloud<PointNT>::ConstPtr pcl::SampleConsensusModelFromNormals< PointT, PointNT >::PointCloudNConstPtr
template<typename PointT, typename PointNT>
typedef pcl::PointCloud<PointNT>::Ptr pcl::SampleConsensusModelFromNormals< PointT, PointNT >::PointCloudNPtr
template<typename PointT, typename PointNT>
typedef boost::shared_ptr<SampleConsensusModelFromNormals> pcl::SampleConsensusModelFromNormals< PointT, PointNT >::Ptr

Constructor & Destructor Documentation

template<typename PointT, typename PointNT>
pcl::SampleConsensusModelFromNormals< PointT, PointNT >::SampleConsensusModelFromNormals ( ) [inline]

Empty constructor for base SampleConsensusModelFromNormals.

Definition at line 513 of file sac_model.h.

template<typename PointT, typename PointNT>
virtual pcl::SampleConsensusModelFromNormals< PointT, PointNT >::~SampleConsensusModelFromNormals ( ) [inline, virtual]

Destructor.

Definition at line 516 of file sac_model.h.


Member Function Documentation

template<typename PointT, typename PointNT>
PointCloudNConstPtr pcl::SampleConsensusModelFromNormals< PointT, PointNT >::getInputNormals ( ) [inline]

Get a pointer to the normals of the input XYZ point cloud dataset.

Definition at line 546 of file sac_model.h.

template<typename PointT, typename PointNT>
double pcl::SampleConsensusModelFromNormals< PointT, PointNT >::getNormalDistanceWeight ( ) [inline]

Get the normal angular distance weight.

Definition at line 531 of file sac_model.h.

template<typename PointT, typename PointNT>
void pcl::SampleConsensusModelFromNormals< PointT, PointNT >::setInputNormals ( const PointCloudNConstPtr normals) [inline]

Provide a pointer to the input dataset that contains the point normals of the XYZ dataset.

Parameters:
[in]normalsthe const boost shared pointer to a PointCloud message

Definition at line 539 of file sac_model.h.

template<typename PointT, typename PointNT>
void pcl::SampleConsensusModelFromNormals< PointT, PointNT >::setNormalDistanceWeight ( const double  w) [inline]

Set the normal angular distance weight.

Parameters:
[in]wthe relative weight (between 0 and 1) to give to the angular distance (0 to pi/2) between point normals and the plane normal. (The Euclidean distance will have weight 1-w.)

Definition at line 524 of file sac_model.h.


Member Data Documentation

template<typename PointT, typename PointNT>
double pcl::SampleConsensusModelFromNormals< PointT, PointNT >::normal_distance_weight_ [protected]

The relative weight (between 0 and 1) to give to the angular distance (0 to pi/2) between point normals and the plane normal.

Definition at line 552 of file sac_model.h.

template<typename PointT, typename PointNT>
PointCloudNConstPtr pcl::SampleConsensusModelFromNormals< PointT, PointNT >::normals_ [protected]

A pointer to the input dataset that contains the point normals of the XYZ dataset.

Definition at line 557 of file sac_model.h.


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


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:20:08