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>
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 () | |
Empty destructor. More... |
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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... |
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virtual void | setLRFRadius (float radius) |
Set the radius used for local reference frame estimation if the frames are not set by the user. More... |
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virtual float | getLRFRadius () const |
Get the radius used for local reference frame estimation. More... |
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Public Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
FeatureFromNormals () | |
Empty constructor. More... |
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virtual | ~FeatureFromNormals () |
Empty destructor. More... |
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void | setInputNormals (const PointCloudNConstPtr &normals) |
Provide a pointer to the input dataset that contains the point normals of the XYZ dataset. More... |
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PointCloudNConstPtr | getInputNormals () const |
Get a pointer to the normals of the input XYZ point cloud dataset. More... |
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Public Member Functions inherited from pcl::Feature< PointInT, PointOutT > | |
Feature () | |
Empty constructor. More... |
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virtual | ~Feature () |
Empty destructor. More... |
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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... |
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PointCloudInConstPtr | getSearchSurface () const |
Get a pointer to the surface point cloud dataset. More... |
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void | setSearchMethod (const KdTreePtr &tree) |
Provide a pointer to the search object. More... |
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KdTreePtr | getSearchMethod () const |
Get a pointer to the search method used. More... |
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double | getSearchParameter () const |
Get the internal search parameter. More... |
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void | setKSearch (int k) |
Set the number of k nearest neighbors to use for the feature estimation. More... |
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int | getKSearch () const |
get the number of k nearest neighbors used for the feature estimation. More... |
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void | setRadiusSearch (double radius) |
Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. More... |
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double | getRadiusSearch () const |
Get the sphere radius used for determining the neighbors. More... |
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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... |
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Public Member Functions inherited from pcl::PCLBase< PointInT > | |
PCLBase () | |
Empty constructor. More... |
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PCLBase (const PCLBase &base) | |
Copy constructor. More... |
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virtual | ~PCLBase ()=default |
Destructor. More... |
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virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
Provide a pointer to the input dataset. More... |
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const PointCloudConstPtr | getInputCloud () const |
Get a pointer to the input point cloud dataset. More... |
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virtual void | setIndices (const IndicesPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. More... |
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virtual void | setIndices (const IndicesConstPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. More... |
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virtual void | setIndices (const PointIndicesConstPtr &indices) |
Provide a pointer to the vector of indices that represents the input data. More... |
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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... |
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IndicesPtr | getIndices () |
Get a pointer to the vector of indices used. More... |
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const IndicesConstPtr | getIndices () const |
Get a pointer to the vector of indices used. More... |
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const PointInT & | operator[] (std::size_t pos) const |
Override PointCloud operator[] to shorten code. More... |
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Public Member Functions inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
FeatureWithLocalReferenceFrames () | |
Empty constructor. More... |
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virtual | ~FeatureWithLocalReferenceFrames () |
Empty destructor. More... |
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void | setInputReferenceFrames (const PointCloudLRFConstPtr &frames) |
Provide a pointer to the input dataset that contains the local reference frames of the XYZ dataset. More... |
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PointCloudLRFConstPtr | getInputReferenceFrames () const |
Get a pointer to the local reference frames. More... |
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Protected Member Functions | |
SHOTEstimationBase (int nr_shape_bins=10) | |
Empty constructor. More... |
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bool | initCompute () override |
This method should get called before starting the actual computation. More... |
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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... |
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void | normalizeHistogram (Eigen::VectorXf &shot, int desc_length) |
Normalize the SHOT histogram. More... |
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void | createBinDistanceShape (int index, const pcl::Indices &indices, std::vector< double > &bin_distance_shape) |
Create a binned distance shape histogram. More... |
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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... |
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virtual bool | deinitCompute () |
This method should get called after ending the actual computation. More... |
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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... |
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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... |
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Protected Member Functions inherited from pcl::PCLBase< PointInT > | |
bool | initCompute () |
This method should get called before starting the actual computation. More... |
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bool | deinitCompute () |
This method should get called after finishing the actual computation. More... |
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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... |
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Eigen::VectorXf | shot_ |
Placeholder for a point's SHOT. More... |
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float | lrf_radius_ |
The radius used for the LRF computation. More... |
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double | sqradius_ |
The squared search radius. More... |
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double | radius3_4_ |
3/4 of the search radius. More... |
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double | radius1_4_ |
1/4 of the search radius. More... |
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double | radius1_2_ |
1/2 of the search radius. More... |
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const int | nr_grid_sector_ |
Number of azimuthal sectors. More... |
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const int | maxAngularSectors_ |
... More... |
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int | descLength_ |
One SHOT length. More... |
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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... |
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Protected Attributes inherited from pcl::Feature< PointInT, PointOutT > | |
std::string | feature_name_ |
The feature name. More... |
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SearchMethodSurface | search_method_surface_ |
The search method template for points. More... |
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PointCloudInConstPtr | surface_ |
An input point cloud describing the surface that is to be used for nearest neighbors estimation. More... |
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KdTreePtr | tree_ |
A pointer to the spatial search object. More... |
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double | search_parameter_ |
The actual search parameter (from either search_radius_ or k_). More... |
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double | search_radius_ |
The nearest neighbors search radius for each point. More... |
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int | k_ |
The number of K nearest neighbors to use for each point. More... |
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bool | fake_surface_ |
If no surface is given, we use the input PointCloud as the surface. More... |
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Protected Attributes inherited from pcl::PCLBase< PointInT > | |
PointCloudConstPtr | input_ |
The input point cloud dataset. More... |
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IndicesPtr | indices_ |
A pointer to the vector of point indices to use. More... |
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bool | use_indices_ |
Set to true if point indices are used. More... |
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bool | fake_indices_ |
If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. More... |
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Protected Attributes inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
PointCloudLRFConstPtr | frames_ |
A boost shared pointer to the local reference frames. More... |
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bool | frames_never_defined_ |
The user has never set the frames. More... |
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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... |
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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> > |
| inlineprotected |
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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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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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The radius used for the LRF computation.
Definition at line 176 of file shot.h.
Referenced by pcl::SHOTEstimationBase< PointInT, PointNT, pcl::SHOT1344, pcl::ReferenceFrame >::getLRFRadius(), and pcl::SHOTEstimationBase< PointInT, PointNT, pcl::SHOT1344, pcl::ReferenceFrame >::setLRFRadius().
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© 2009–2012, Willow Garage, Inc.
© 2012–, Open Perception, Inc.
Licensed under the BSD License.
https://pointclouds.org/documentation/classpcl_1_1_s_h_o_t_estimation_base.html