Point Cloud Library (PCL)  1.6.0
 All Classes Namespaces Files Functions Variables Typedefs Enumerations Enumerator Friends Macros Groups Pages
List of all members | Public Types | Public Member Functions
pcl::StatisticalMultiscaleInterestRegionExtraction< PointT > Class Template Reference

Class for extracting interest regions from unstructured point clouds, based on a multi scale statistical approach. More...

#include <pcl/features/statistical_multiscale_interest_region_extraction.h>

Inheritance diagram for pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >:
Inheritance graph
[legend]
Collaboration diagram for pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >:
Collaboration graph
[legend]

Public Types

typedef boost::shared_ptr
< std::vector< int > > 
IndicesPtr
 
typedef boost::shared_ptr
< StatisticalMultiscaleInterestRegionExtraction
< PointT > > 
Ptr
 
typedef boost::shared_ptr
< const
StatisticalMultiscaleInterestRegionExtraction
< PointT > > 
ConstPtr
 
typedef pcl::PointCloud< PointTPointCloud
 
typedef PointCloud::Ptr PointCloudPtr
 
typedef PointCloud::ConstPtr PointCloudConstPtr
 
typedef PointIndices::Ptr PointIndicesPtr
 
typedef PointIndices::ConstPtr PointIndicesConstPtr
 

Public Member Functions

 StatisticalMultiscaleInterestRegionExtraction ()
 Empty constructor. More...
 
void generateCloudGraph ()
 Method that generates the underlying nearest neighbor graph based on the input point cloud. More...
 
void computeRegionsOfInterest (std::list< IndicesPtr > &rois)
 The method to be called in order to run the algorithm and produce the resulting set of regions of interest. More...
 
void setScalesVector (std::vector< float > &scale_values)
 Method for setting the scale parameters for the algorithm. More...
 
std::vector< float > getScalesVector ()
 Method for getting the scale parameters vector. 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 PointToperator[] (size_t pos)
 Override PointCloud operator[] to shorten code. More...
 

Detailed Description

template<typename PointT>
class pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >

Class for extracting interest regions from unstructured point clouds, based on a multi scale statistical approach.

Please refer to the following publications for more details: Ranjith Unnikrishnan and Martial Hebert Multi-Scale Interest Regions from Unorganized Point Clouds Workshop on Search in 3D (S3D), IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) June, 2008

Statistical Approaches to Multi-scale Point Cloud Processing Ranjith Unnikrishnan PhD Thesis The Robotics Institute Carnegie Mellon University May, 2008

Author
Alexandru-Eugen Ichim

Definition at line 65 of file statistical_multiscale_interest_region_extraction.h.

Member Typedef Documentation

template<typename PointT >
typedef boost::shared_ptr<std::vector<int> > pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >::IndicesPtr
template<typename PointT>
typedef pcl::PointCloud<PointT> pcl::PCLBase< PointT >::PointCloud
inherited

Definition at line 74 of file pcl_base.h.

template<typename PointT>
typedef PointCloud::ConstPtr pcl::PCLBase< PointT >::PointCloudConstPtr
inherited

Definition at line 76 of file pcl_base.h.

template<typename PointT>
typedef PointCloud::Ptr pcl::PCLBase< PointT >::PointCloudPtr
inherited

Definition at line 75 of file pcl_base.h.

template<typename PointT>
typedef PointIndices::ConstPtr pcl::PCLBase< PointT >::PointIndicesConstPtr
inherited

Definition at line 79 of file pcl_base.h.

template<typename PointT>
typedef PointIndices::Ptr pcl::PCLBase< PointT >::PointIndicesPtr
inherited

Definition at line 78 of file pcl_base.h.

Constructor & Destructor Documentation

Empty constructor.

Definition at line 74 of file statistical_multiscale_interest_region_extraction.h.

Member Function Documentation

template<typename PointT >
void pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >::computeRegionsOfInterest ( std::list< IndicesPtr > &  rois)

The method to be called in order to run the algorithm and produce the resulting set of regions of interest.

Definition at line 119 of file statistical_multiscale_interest_region_extraction.hpp.

template<typename PointT >
void pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >::generateCloudGraph ( )

Method that generates the underlying nearest neighbor graph based on the input point cloud.

Definition at line 50 of file statistical_multiscale_interest_region_extraction.hpp.

template<typename PointT>
IndicesPtr const pcl::PCLBase< PointT >::getIndices ( )
inlineinherited

Get a pointer to the vector of indices used.

Definition at line 190 of file pcl_base.h.

template<typename PointT>
PointCloudConstPtr const pcl::PCLBase< PointT >::getInputCloud ( )
inlineinherited

Get a pointer to the input point cloud dataset.

Definition at line 107 of file pcl_base.h.

template<typename PointT >
std::vector<float> pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >::getScalesVector ( )
inline

Method for getting the scale parameters vector.

Definition at line 98 of file statistical_multiscale_interest_region_extraction.h.

template<typename PointT>
const PointT& pcl::PCLBase< PointT >::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.

template<typename PointT>
void pcl::PCLBase< PointT >::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.

template<typename PointT>
void pcl::PCLBase< PointT >::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.

template<typename PointT>
void pcl::PCLBase< PointT >::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.

template<typename PointT>
void pcl::PCLBase< PointT >::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.

template<typename PointT>
virtual void pcl::PCLBase< PointT >::setInputCloud ( const PointCloudConstPtr cloud)
inlinevirtualinherited

Provide a pointer to the input dataset.

Parameters
cloudthe const boost shared pointer to a PointCloud message

Reimplemented in pcl::PCA< PointT >.

Definition at line 103 of file pcl_base.h.

template<typename PointT >
void pcl::StatisticalMultiscaleInterestRegionExtraction< PointT >::setScalesVector ( std::vector< float > &  scale_values)
inline

Method for setting the scale parameters for the algorithm.

Parameters
scale_valuesvector of scales to determine the size of each scaling step

Definition at line 94 of file statistical_multiscale_interest_region_extraction.h.


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