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Point Cloud Library (PCL)
1.15.1-dev
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SHOTEstimation estimates the Signature of Histograms of OrienTations (SHOT) descriptor for a given point cloud dataset containing points and normals. More...
#include <pcl/features/shot.h>
Inheritance diagram for pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >:
Collaboration diagram for pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >:Public Types | |
| using | Ptr = shared_ptr< SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT > > |
| using | ConstPtr = shared_ptr< const SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT > > |
| using | PointCloudIn = typename Feature< PointInT, PointOutT >::PointCloudIn |
Public Types inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
| using | PointCloudN = pcl::PointCloud< PointNT > |
| using | PointCloudNPtr = typename PointCloudN::Ptr |
| using | PointCloudNConstPtr = typename PointCloudN::ConstPtr |
| using | Ptr = shared_ptr< FeatureFromNormals< PointInT, PointNT, PointOutT > > |
| using | ConstPtr = shared_ptr< const FeatureFromNormals< PointInT, PointNT, PointOutT > > |
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 Types inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| using | PointCloudLRF = pcl::PointCloud< pcl::ReferenceFrame > |
| using | PointCloudLRFPtr = typename PointCloudLRF::Ptr |
| using | PointCloudLRFConstPtr = typename PointCloudLRF::ConstPtr |
Public Member Functions | |
| ~SHOTEstimationBase () override=default | |
| Empty destructor. More... | |
| virtual void | computePointSHOT (const int index, const pcl::Indices &indices, const std::vector< float > &sqr_dists, Eigen::VectorXf &shot)=0 |
| Estimate the SHOT descriptor for a given point based on its spatial neighborhood of 3D points with normals. More... | |
| virtual void | setLRFRadius (float radius) |
| Set the radius used for local reference frame estimation if the frames are not set by the user. More... | |
| virtual float | getLRFRadius () const |
| Get the radius used for local reference frame estimation. More... | |
Public Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
| 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... | |
Public Member Functions inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| FeatureWithLocalReferenceFrames () | |
| Empty constructor. More... | |
| virtual | ~FeatureWithLocalReferenceFrames ()=default |
| Default virtual destructor. More... | |
| void | setInputReferenceFrames (const PointCloudLRFConstPtr &frames) |
| Provide a pointer to the input dataset that contains the local reference frames of the XYZ dataset. More... | |
| PointCloudLRFConstPtr | getInputReferenceFrames () const |
| Get a pointer to the local reference frames. More... | |
Protected Member Functions | |
| SHOTEstimationBase (int nr_shape_bins=10) | |
| Empty constructor. More... | |
| bool | initCompute () override |
| This method should get called before starting the actual computation. More... | |
| void | interpolateSingleChannel (const pcl::Indices &indices, const std::vector< float > &sqr_dists, const int index, std::vector< double > &binDistance, const int nr_bins, Eigen::VectorXf &shot) |
| Quadrilinear interpolation used when color and shape descriptions are NOT activated simultaneously. More... | |
| void | normalizeHistogram (Eigen::VectorXf &shot, int desc_length) |
| Normalize the SHOT histogram. More... | |
| void | createBinDistanceShape (int index, const pcl::Indices &indices, std::vector< double > &bin_distance_shape) |
| Create a binned distance shape histogram. 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 Member Functions inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| virtual bool | initLocalReferenceFrames (const std::size_t &indices_size, const LRFEstimationPtr &lrf_estimation=LRFEstimationPtr()) |
Protected Attributes | |
| int | nr_shape_bins_ |
| The number of bins in each shape histogram. More... | |
| float | lrf_radius_ {0.0f} |
| The radius used for the LRF computation. More... | |
| double | sqradius_ {0.0} |
| The squared search radius. More... | |
| double | radius3_4_ {0.0} |
| 3/4 of the search radius. More... | |
| double | radius1_4_ {0.0} |
| 1/4 of the search radius. More... | |
| double | radius1_2_ {0.0} |
| 1/2 of the search radius. More... | |
| const int | nr_grid_sector_ {32} |
| Number of azimuthal sectors. More... | |
| const int | maxAngularSectors_ {32} |
| ... More... | |
| int | descLength_ {0} |
| One SHOT length. More... | |
Protected Attributes inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
| 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... | |
Protected Attributes inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| PointCloudLRFConstPtr | frames_ |
| A boost shared pointer to the local reference frames. More... | |
| bool | frames_never_defined_ |
| The user has never set the frames. More... | |
Additional Inherited Members | |
Protected Types inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| using | LRFEstimationPtr = typename Feature< PointInT, pcl::ReferenceFrame >::Ptr |
| Check if frames_ has been correctly initialized and compute it if needed. More... | |
SHOTEstimation estimates the Signature of Histograms of OrienTations (SHOT) descriptor for a given point cloud dataset containing points and normals.
The suggested PointOutT is pcl::SHOT352.
| using pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::ConstPtr = shared_ptr<const SHOTEstimationBase<PointInT, PointNT, PointOutT, PointRFT> > |
| using pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::PointCloudIn = typename Feature<PointInT, PointOutT>::PointCloudIn |
| using pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::Ptr = shared_ptr<SHOTEstimationBase<PointInT, PointNT, PointOutT, PointRFT> > |
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inlineprotected |
Empty constructor.
| [in] | nr_shape_bins | the number of bins in the shape histogram |
Definition at line 93 of file shot.h.
References pcl::Feature< PointInT, PointOutT >::feature_name_.
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overridedefault |
Empty destructor.
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pure virtual |
Estimate the SHOT descriptor for a given point based on its spatial neighborhood of 3D points with normals.
| [in] | index | the index of the point in indices_ |
| [in] | indices | the k-neighborhood point indices in surface_ |
| [in] | sqr_dists | the k-neighborhood point distances in surface_ |
| [out] | shot | the resultant SHOT descriptor representing the feature at the query point |
Implemented in pcl::SHOTColorEstimation< PointInT, PointNT, PointOutT, PointRFT >, pcl::SHOTColorEstimation< PointInT, PointNT, pcl::SHOT1344, pcl::ReferenceFrame >, pcl::SHOTEstimation< PointInT, PointNT, PointOutT, PointRFT >, and pcl::SHOTEstimation< PointInT, PointNT, pcl::SHOT352, pcl::ReferenceFrame >.
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Get the radius used for local reference frame estimation.
Definition at line 122 of file shot.h.
References pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::lrf_radius_.
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overrideprotectedvirtual |
This method should get called before starting the actual computation.
Reimplemented from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT >.
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Quadrilinear interpolation used when color and shape descriptions are NOT activated simultaneously.
| [in] | indices | the neighborhood point indices |
| [in] | sqr_dists | the neighborhood point distances |
| [in] | index | the index of the point in indices_ |
| [out] | binDistance | the resultant distance shape histogram |
| [in] | nr_bins | the number of bins in the shape histogram |
| [out] | shot | the resultant SHOT histogram |
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Set the radius used for local reference frame estimation if the frames are not set by the user.
Definition at line 118 of file shot.h.
References pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::lrf_radius_.
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The radius used for the LRF computation.
Definition at line 168 of file shot.h.
Referenced by pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::getLRFRadius(), and pcl::SHOTEstimationBase< PointInT, PointNT, PointOutT, PointRFT >::setLRFRadius().
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