Public Member Functions | Protected Member Functions | Protected Attributes | Private Types | Private Attributes
pcl_ros::SACSegmentationFromNormals Class Reference

SACSegmentationFromNormals represents the PCL nodelet segmentation class for Sample Consensus methods and models that require the use of surface normals for estimation. More...

#include <sac_segmentation.h>

Inheritance diagram for pcl_ros::SACSegmentationFromNormals:
Inheritance graph
[legend]

List of all members.

Public Member Functions

std::string getInputTFframe ()
 Get the TF frame the input PointCloud should be transformed into before processing.
std::string getOutputTFframe ()
 Get the TF frame the PointCloud should be transformed into after processing.
void setInputTFframe (std::string tf_frame)
 Set the input TF frame the data should be transformed into before processing, if input.header.frame_id is different.
void setOutputTFframe (std::string tf_frame)
 Set the output TF frame the data should be transformed into after processing.

Protected Member Functions

void axis_callback (const pcl::ModelCoefficientsConstPtr &model)
 Model callback.
void config_callback (SACSegmentationFromNormalsConfig &config, uint32_t level)
 Dynamic reconfigure callback.
void input_callback (const PointCloudConstPtr &cloud)
 Input point cloud callback. Because we want to use the same synchronizer object, we push back empty elements with the same timestamp.
void input_normals_indices_callback (const PointCloudConstPtr &cloud, const PointCloudNConstPtr &cloud_normals, const PointIndicesConstPtr &indices)
 Input point cloud callback.
virtual void onInit ()
 Nodelet initialization routine.

Protected Attributes

message_filters::PassThrough
< PointIndices
nf_
 Null passthrough filter, used for pushing empty elements in the synchronizer.
boost::shared_ptr
< dynamic_reconfigure::Server
< SACSegmentationFromNormalsConfig > > 
srv_
 Pointer to a dynamic reconfigure service.
ros::Subscriber sub_axis_
 The input PointCloud subscriber.
message_filters::Subscriber
< PointCloudN
sub_normals_filter_
 The normals PointCloud subscriber filter.
std::string tf_input_frame_
 The input TF frame the data should be transformed into, if input.header.frame_id is different.
std::string tf_input_orig_frame_
 The original data input TF frame.
std::string tf_output_frame_
 The output TF frame the data should be transformed into, if input.header.frame_id is different.

Private Types

typedef pcl::PointCloud
< pcl::PointXYZ
PointCloud
typedef PointCloud::ConstPtr PointCloudConstPtr
typedef pcl::PointCloud
< pcl::Normal
PointCloudN
typedef PointCloudN::ConstPtr PointCloudNConstPtr
typedef PointCloudN::Ptr PointCloudNPtr
typedef PointCloud::Ptr PointCloudPtr

Private Attributes

pcl::SACSegmentationFromNormals
< pcl::PointXYZ, pcl::Normal
impl_
 The PCL implementation used.
boost::mutex mutex_
 Internal mutex.
boost::shared_ptr
< message_filters::Synchronizer
< sync_policies::ApproximateTime
< PointCloud, PointCloudN,
PointIndices > > > 
sync_input_normals_indices_a_
 Synchronized input, normals, and indices.
boost::shared_ptr
< message_filters::Synchronizer
< sync_policies::ExactTime
< PointCloud, PointCloudN,
PointIndices > > > 
sync_input_normals_indices_e_

Detailed Description

SACSegmentationFromNormals represents the PCL nodelet segmentation class for Sample Consensus methods and models that require the use of surface normals for estimation.

Definition at line 177 of file sac_segmentation.h.


Member Typedef Documentation

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 179 of file sac_segmentation.h.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 181 of file sac_segmentation.h.

Definition at line 183 of file sac_segmentation.h.

Definition at line 185 of file sac_segmentation.h.

Definition at line 184 of file sac_segmentation.h.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 180 of file sac_segmentation.h.


Member Function Documentation

void pcl_ros::SACSegmentationFromNormals::axis_callback ( const pcl::ModelCoefficientsConstPtr &  model) [protected]

Model callback.

Parameters:
modelthe sample consensus model found

Definition at line 456 of file sac_segmentation.cpp.

void pcl_ros::SACSegmentationFromNormals::config_callback ( SACSegmentationFromNormalsConfig &  config,
uint32_t  level 
) [protected]

Dynamic reconfigure callback.

Parameters:
configthe config object
levelthe dynamic reconfigure level

Definition at line 473 of file sac_segmentation.cpp.

Get the TF frame the input PointCloud should be transformed into before processing.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 194 of file sac_segmentation.h.

Get the TF frame the PointCloud should be transformed into after processing.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 202 of file sac_segmentation.h.

void pcl_ros::SACSegmentationFromNormals::input_callback ( const PointCloudConstPtr cloud) [inline, protected]

Input point cloud callback. Because we want to use the same synchronizer object, we push back empty elements with the same timestamp.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 220 of file sac_segmentation.h.

void pcl_ros::SACSegmentationFromNormals::input_normals_indices_callback ( const PointCloudConstPtr cloud,
const PointCloudNConstPtr cloud_normals,
const PointIndicesConstPtr indices 
) [protected]

Input point cloud callback.

Parameters:
cloudthe pointer to the input point cloud
cloud_normalsthe pointer to the input point cloud normals
indicesthe pointer to the input point cloud indices

DEBUG

Definition at line 539 of file sac_segmentation.cpp.

void pcl_ros::SACSegmentationFromNormals::onInit ( ) [protected, virtual]

Nodelet initialization routine.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 336 of file sac_segmentation.cpp.

void pcl_ros::SACSegmentationFromNormals::setInputTFframe ( std::string  tf_frame) [inline]

Set the input TF frame the data should be transformed into before processing, if input.header.frame_id is different.

Parameters:
tf_framethe TF frame the input PointCloud should be transformed into before processing

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 191 of file sac_segmentation.h.

void pcl_ros::SACSegmentationFromNormals::setOutputTFframe ( std::string  tf_frame) [inline]

Set the output TF frame the data should be transformed into after processing.

Parameters:
tf_framethe TF frame the PointCloud should be transformed into after processing

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 199 of file sac_segmentation.h.


Member Data Documentation

The PCL implementation used.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 266 of file sac_segmentation.h.

Internal mutex.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 263 of file sac_segmentation.h.

Null passthrough filter, used for pushing empty elements in the synchronizer.

Definition at line 229 of file sac_segmentation.h.

boost::shared_ptr<dynamic_reconfigure::Server<SACSegmentationFromNormalsConfig> > pcl_ros::SACSegmentationFromNormals::srv_ [protected]

Pointer to a dynamic reconfigure service.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 213 of file sac_segmentation.h.

The input PointCloud subscriber.

Definition at line 210 of file sac_segmentation.h.

The normals PointCloud subscriber filter.

Definition at line 207 of file sac_segmentation.h.

Synchronized input, normals, and indices.

Definition at line 269 of file sac_segmentation.h.

Definition at line 270 of file sac_segmentation.h.

The input TF frame the data should be transformed into, if input.header.frame_id is different.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 232 of file sac_segmentation.h.

The original data input TF frame.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 234 of file sac_segmentation.h.

The output TF frame the data should be transformed into, if input.header.frame_id is different.

Reimplemented from pcl_ros::SACSegmentation.

Definition at line 236 of file sac_segmentation.h.


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


pcl_ros
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:22:25