CRHEstimation estimates the Camera Roll Histogram (CRH) descriptor for a given point cloud dataset containing XYZ data and normals, as presented in: More...
#include <pcl/features/crh.h>
Inheritance diagram for pcl::CRHEstimation< PointInT, PointNT, PointOutT >:
Collaboration diagram for pcl::CRHEstimation< PointInT, PointNT, PointOutT >:
Public Types | |
| using | Ptr = shared_ptr< CRHEstimation< PointInT, PointNT, PointOutT > > |
| using | ConstPtr = shared_ptr< const CRHEstimation< PointInT, PointNT, PointOutT > > |
| using | PointCloudOut = typename Feature< PointInT, PointOutT >::PointCloudOut |
| Public Types inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::Histogram< 90 > > | |
| using | PointCloudN = pcl::PointCloud< PointNT > |
| using | PointCloudNPtr = typename PointCloudN::Ptr |
| using | PointCloudNConstPtr = typename PointCloudN::ConstPtr |
| using | Ptr = shared_ptr< FeatureFromNormals< PointInT, PointNT, pcl::Histogram< 90 > > > |
| using | ConstPtr = shared_ptr< const FeatureFromNormals< PointInT, PointNT, pcl::Histogram< 90 > > > |
| Public Types inherited from pcl::Feature< PointInT, PointOutT > | |
| using | BaseClass = PCLBase< PointInT > |
| using | Ptr = shared_ptr< Feature< PointInT, PointOutT > > |
| using | ConstPtr = shared_ptr< const Feature< PointInT, PointOutT > > |
| using | KdTree = pcl::search::Search< PointInT > |
| using | KdTreePtr = typename KdTree::Ptr |
| using | PointCloudIn = pcl::PointCloud< PointInT > |
| using | PointCloudInPtr = typename PointCloudIn::Ptr |
| using | PointCloudInConstPtr = typename PointCloudIn::ConstPtr |
| using | PointCloudOut = pcl::PointCloud< PointOutT > |
| using | SearchMethod = std::function< int(std::size_t, double, pcl::Indices &, std::vector< float > &)> |
| using | SearchMethodSurface = std::function< int(const PointCloudIn &cloud, std::size_t index, double, pcl::Indices &, std::vector< float > &)> |
| Public Types inherited from pcl::PCLBase< PointInT > | |
| using | PointCloud = pcl::PointCloud< PointInT > |
| using | PointCloudPtr = typename PointCloud::Ptr |
| using | PointCloudConstPtr = typename PointCloud::ConstPtr |
| using | PointIndicesPtr = PointIndices::Ptr |
| using | PointIndicesConstPtr = PointIndices::ConstPtr |
Public Member Functions | |
| CRHEstimation () | |
| Constructor. More... | |
| void | setViewPoint (float vpx, float vpy, float vpz) |
| Set the viewpoint. More... | |
| void | getViewPoint (float &vpx, float &vpy, float &vpz) |
| Get the viewpoint. More... | |
| void | setCentroid (Eigen::Vector4f ¢roid) |
| Public Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::Histogram< 90 > > | |
| FeatureFromNormals () | |
| Empty constructor. 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... | |
| Public Member Functions inherited from pcl::Feature< PointInT, PointOutT > | |
| Feature () | |
| Empty constructor. More... | |
| void | setSearchSurface (const PointCloudInConstPtr &cloud) |
| Provide a pointer to a dataset to add additional information to estimate the features for every point in the input dataset. More... | |
| PointCloudInConstPtr | getSearchSurface () const |
| Get a pointer to the surface point cloud dataset. More... | |
| void | setSearchMethod (const KdTreePtr &tree) |
| Provide a pointer to the search object. More... | |
| KdTreePtr | getSearchMethod () const |
| Get a pointer to the search method used. More... | |
| double | getSearchParameter () const |
| Get the internal search parameter. More... | |
| void | setKSearch (int k) |
| Set the number of k nearest neighbors to use for the feature estimation. More... | |
| int | getKSearch () const |
| get the number of k nearest neighbors used for the feature estimation. More... | |
| void | setRadiusSearch (double radius) |
| Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More... | |
| double | getRadiusSearch () const |
| Get the sphere radius used for determining the neighbors. More... | |
| void | compute (PointCloudOut &output) |
| Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod () More... | |
| Public Member Functions inherited from pcl::PCLBase< PointInT > | |
| PCLBase () | |
| Empty constructor. More... | |
| PCLBase (const PCLBase &base) | |
| Copy constructor. More... | |
| virtual | ~PCLBase ()=default |
| Destructor. More... | |
| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| Provide a pointer to the input dataset. More... | |
| PointCloudConstPtr const | getInputCloud () const |
| Get a pointer to the input point cloud dataset. More... | |
| virtual void | setIndices (const IndicesPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| virtual void | setIndices (const IndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| virtual void | setIndices (const PointIndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. More... | |
| virtual void | setIndices (std::size_t row_start, std::size_t col_start, std::size_t nb_rows, std::size_t nb_cols) |
| Set the indices for the points laying within an interest region of the point cloud. More... | |
| IndicesPtr | getIndices () |
| Get a pointer to the vector of indices used. More... | |
| IndicesConstPtr const | getIndices () const |
| Get a pointer to the vector of indices used. More... | |
| const PointInT & | operator[] (std::size_t pos) const |
| Override PointCloud operator[] to shorten code. More... | |
Additional Inherited Members | |
| Protected Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::Histogram< 90 > > | |
| virtual bool | initCompute () |
| This method should get called before starting the actual computation. More... | |
| Protected Member Functions inherited from pcl::Feature< PointInT, PointOutT > | |
| const std::string & | getClassName () const |
| Get a string representation of the name of this class. More... | |
| virtual bool | deinitCompute () |
| This method should get called after ending the actual computation. More... | |
| int | searchForNeighbors (std::size_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const |
| Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More... | |
| int | searchForNeighbors (const PointCloudIn &cloud, std::size_t index, double parameter, pcl::Indices &indices, std::vector< float > &distances) const |
| Search for k-nearest neighbors using the spatial locator from setSearchmethod, and the given surface from setSearchSurface. More... | |
| Protected Member Functions inherited from pcl::PCLBase< PointInT > | |
| bool | initCompute () |
| This method should get called before starting the actual computation. More... | |
| bool | deinitCompute () |
| This method should get called after finishing the actual computation. More... | |
| Protected Attributes inherited from pcl::FeatureFromNormals< PointInT, PointNT, pcl::Histogram< 90 > > | |
| PointCloudNConstPtr | normals_ |
| A pointer to the input dataset that contains the point normals of the XYZ dataset. More... | |
| Protected Attributes inherited from pcl::Feature< PointInT, PointOutT > | |
| std::string | feature_name_ |
| The feature name. More... | |
| SearchMethodSurface | search_method_surface_ |
| The search method template for points. More... | |
| PointCloudInConstPtr | surface_ |
| An input point cloud describing the surface that is to be used for nearest neighbors estimation. More... | |
| KdTreePtr | tree_ |
| A pointer to the spatial search object. More... | |
| double | search_parameter_ |
| The actual search parameter (from either search_radius_ or k_). More... | |
| double | search_radius_ |
| The nearest neighbors search radius for each point. More... | |
| int | k_ |
| The number of K nearest neighbors to use for each point. More... | |
| bool | fake_surface_ |
| If no surface is given, we use the input PointCloud as the surface. More... | |
| Protected Attributes inherited from pcl::PCLBase< PointInT > | |
| PointCloudConstPtr | input_ |
| The input point cloud dataset. More... | |
| IndicesPtr | indices_ |
| A pointer to the vector of point indices to use. More... | |
| bool | use_indices_ |
| Set to true if point indices are used. More... | |
| bool | fake_indices_ |
| If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. More... | |
Detailed Description
template<typename PointInT, typename PointNT, typename PointOutT = pcl::Histogram<90>>
class pcl::CRHEstimation< PointInT, PointNT, PointOutT >
CRHEstimation estimates the Camera Roll Histogram (CRH) descriptor for a given point cloud dataset containing XYZ data and normals, as presented in:
- CAD-Model Recognition and 6 DOF Pose Estimation A. Aldoma, N. Blodow, D. Gossow, S. Gedikli, R.B. Rusu, M. Vincze and G. Bradski ICCV 2011, 3D Representation and Recognition (3dRR11) workshop Barcelona, Spain, (2011)
The suggested PointOutT is pcl::Histogram<90>. //dc (real) + 44 complex numbers (real, imaginary) + nyquist (real)
Member Typedef Documentation
◆ ConstPtr
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
| using pcl::CRHEstimation< PointInT, PointNT, PointOutT >::ConstPtr = shared_ptr<const CRHEstimation<PointInT, PointNT, PointOutT> > |
◆ PointCloudOut
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
| using pcl::CRHEstimation< PointInT, PointNT, PointOutT >::PointCloudOut = typename Feature<PointInT, PointOutT>::PointCloudOut |
◆ Ptr
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
| using pcl::CRHEstimation< PointInT, PointNT, PointOutT >::Ptr = shared_ptr<CRHEstimation<PointInT, PointNT, PointOutT> > |
Constructor & Destructor Documentation
◆ CRHEstimation()
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
|
inline |
Constructor.
Definition at line 77 of file crh.h.
References pcl::Feature< PointInT, PointOutT >::feature_name_, and pcl::Feature< PointInT, PointOutT >::k_.
Member Function Documentation
◆ getViewPoint()
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
|
inline |
◆ setCentroid()
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
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inline |
◆ setViewPoint()
template<typename PointInT , typename PointNT , typename PointOutT = pcl::Histogram<90>>
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inline |
The documentation for this class was generated from the following files: