W3cubDocs

/PointCloudLibrary

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

#include <pcl/sample_consensus/sac_model.h>

Public Types

using PointCloudNConstPtr = typename pcl::PointCloud< PointNT >::ConstPtr
using PointCloudNPtr = typename pcl::PointCloud< PointNT >::Ptr
using Ptr = shared_ptr< SampleConsensusModelFromNormals< PointT, PointNT > >
using ConstPtr = shared_ptr< const SampleConsensusModelFromNormals< PointT, PointNT > >

Public Member Functions

SampleConsensusModelFromNormals ()
Empty constructor for base SampleConsensusModelFromNormals. More...
virtual ~SampleConsensusModelFromNormals ()
Destructor. More...
void setNormalDistanceWeight (const double w)
Set the normal angular distance weight. More...
double getNormalDistanceWeight () const
Get the normal angular distance weight. 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...

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

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 611 of file sac_model.h.

Member Typedef Documentation

ConstPtr

template<typename PointT , typename PointNT >
using pcl::SampleConsensusModelFromNormals< PointT, PointNT >::ConstPtr = shared_ptr<const SampleConsensusModelFromNormals<PointT, PointNT> >

Definition at line 618 of file sac_model.h.

PointCloudNConstPtr

template<typename PointT , typename PointNT >
using pcl::SampleConsensusModelFromNormals< PointT, PointNT >::PointCloudNConstPtr = typename pcl::PointCloud<PointNT>::ConstPtr

Definition at line 614 of file sac_model.h.

PointCloudNPtr

template<typename PointT , typename PointNT >
using pcl::SampleConsensusModelFromNormals< PointT, PointNT >::PointCloudNPtr = typename pcl::PointCloud<PointNT>::Ptr

Definition at line 615 of file sac_model.h.

Ptr

template<typename PointT , typename PointNT >
using pcl::SampleConsensusModelFromNormals< PointT, PointNT >::Ptr = shared_ptr<SampleConsensusModelFromNormals<PointT, PointNT> >

Definition at line 617 of file sac_model.h.

Constructor & Destructor Documentation

SampleConsensusModelFromNormals()

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

Empty constructor for base SampleConsensusModelFromNormals.

Definition at line 621 of file sac_model.h.

~SampleConsensusModelFromNormals()

template<typename PointT , typename PointNT >
virtual pcl::SampleConsensusModelFromNormals< PointT, PointNT >::~SampleConsensusModelFromNormals ( )
inlinevirtual

Destructor.

Definition at line 624 of file sac_model.h.

Member Function Documentation

getInputNormals()

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

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

Definition at line 659 of file sac_model.h.

getNormalDistanceWeight()

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

Get the normal angular distance weight.

Definition at line 644 of file sac_model.h.

Referenced by pcl::SACSegmentationFromNormals< PointT, PointNT >::initSACModel().

setInputNormals()

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] normals the const boost shared pointer to a PointCloud message

Definition at line 652 of file sac_model.h.

Referenced by pcl::SACSegmentationFromNormals< PointT, PointNT >::initSACModel().

setNormalDistanceWeight()

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

Set the normal angular distance weight.

Parameters
[in] w the 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 632 of file sac_model.h.

Referenced by pcl::SACSegmentationFromNormals< PointT, PointNT >::initSACModel().

Member Data Documentation

normal_distance_weight_

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 665 of file sac_model.h.

Referenced by pcl::SampleConsensusModelFromNormals< pcl::PointXYZRGB, PointNT >::getNormalDistanceWeight(), and pcl::SampleConsensusModelFromNormals< pcl::PointXYZRGB, PointNT >::setNormalDistanceWeight().

normals_

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 670 of file sac_model.h.

Referenced by pcl::SampleConsensusModelFromNormals< pcl::PointXYZRGB, PointNT >::getInputNormals(), and pcl::SampleConsensusModelFromNormals< pcl::PointXYZRGB, PointNT >::setInputNormals().


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

© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/classpcl_1_1_sample_consensus_model_from_normals.html