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Point Cloud Library (PCL) 1.15.1
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UniqueShapeContext implements the Unique Shape Context Descriptor described here: More...
#include <pcl/features/usc.h>
Public Types | |
| using | PointCloudOut = typename Feature<PointInT, PointOutT>::PointCloudOut |
| using | PointCloudIn = typename Feature<PointInT, PointOutT>::PointCloudIn |
| using | Ptr = shared_ptr<UniqueShapeContext<PointInT, PointOutT, PointRFT> > |
| using | ConstPtr = shared_ptr<const UniqueShapeContext<PointInT, PointOutT, PointRFT> > |
| Public Types inherited from pcl::Feature< PointInT, pcl::UniqueShapeContext1960 > | |
| using | BaseClass |
| using | Ptr |
| using | ConstPtr |
| using | KdTree |
| using | KdTreePtr |
| using | PointCloudIn |
| using | PointCloudInPtr |
| using | PointCloudInConstPtr |
| using | PointCloudOut |
| using | SearchMethod |
| using | SearchMethodSurface |
| Public Types inherited from pcl::PCLBase< PointInT > | |
| using | PointCloud |
| using | PointCloudPtr |
| using | PointCloudConstPtr |
| using | PointIndicesPtr |
| using | PointIndicesConstPtr |
| Public Types inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| using | PointCloudLRF |
| using | PointCloudLRFPtr |
| using | PointCloudLRFConstPtr |
Public Member Functions | |
| UniqueShapeContext () | |
| Constructor. | |
| ~UniqueShapeContext () override=default | |
| std::size_t | getAzimuthBins () const |
| std::size_t | getElevationBins () const |
| std::size_t | getRadiusBins () const |
| void | setMinimalRadius (double radius) |
| The minimal radius value for the search sphere (rmin) in the original paper. | |
| double | getMinimalRadius () const |
| void | setPointDensityRadius (double radius) |
| This radius is used to compute local point density density = number of points within this radius. | |
| double | getPointDensityRadius () const |
| void | setLocalRadius (double radius) |
| Set the local RF radius value. | |
| double | getLocalRadius () const |
| Public Member Functions inherited from pcl::Feature< PointInT, pcl::UniqueShapeContext1960 > | |
| Feature () | |
| Empty constructor. | |
| 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. | |
| PointCloudInConstPtr | getSearchSurface () const |
| Get a pointer to the surface point cloud dataset. | |
| void | setSearchMethod (const KdTreePtr &tree) |
| Provide a pointer to the search object. | |
| KdTreePtr | getSearchMethod () const |
| Get a pointer to the search method used. | |
| double | getSearchParameter () const |
| Get the internal search parameter. | |
| void | setKSearch (int k) |
| Set the number of k nearest neighbors to use for the feature estimation. | |
| int | getKSearch () const |
| get the number of k nearest neighbors used for the feature estimation. | |
| void | setRadiusSearch (double radius) |
| Set the sphere radius that is to be used for determining the nearest neighbors used for the feature estimation. | |
| double | getRadiusSearch () const |
| Get the sphere radius used for determining the neighbors. | |
| 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 (). | |
| Public Member Functions inherited from pcl::PCLBase< PointInT > | |
| PCLBase () | |
| Empty constructor. | |
| PCLBase (const PCLBase &base) | |
| Copy constructor. | |
| virtual | ~PCLBase ()=default |
| Destructor. | |
| virtual void | setInputCloud (const PointCloudConstPtr &cloud) |
| Provide a pointer to the input dataset. | |
| PointCloudConstPtr const | getInputCloud () const |
| Get a pointer to the input point cloud dataset. | |
| virtual void | setIndices (const IndicesPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. | |
| virtual void | setIndices (const IndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. | |
| virtual void | setIndices (const PointIndicesConstPtr &indices) |
| Provide a pointer to the vector of indices that represents the input data. | |
| 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. | |
| IndicesPtr | getIndices () |
| Get a pointer to the vector of indices used. | |
| IndicesConstPtr const | getIndices () const |
| Get a pointer to the vector of indices used. | |
| const PointInT & | operator[] (std::size_t pos) const |
| Override PointCloud operator[] to shorten code. | |
| Public Member Functions inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| FeatureWithLocalReferenceFrames () | |
| Empty constructor. | |
| virtual | ~FeatureWithLocalReferenceFrames ()=default |
| Default virtual destructor. | |
| void | setInputReferenceFrames (const PointCloudLRFConstPtr &frames) |
| Provide a pointer to the input dataset that contains the local reference frames of the XYZ dataset. | |
| PointCloudLRFConstPtr | getInputReferenceFrames () const |
| Get a pointer to the local reference frames. | |
Protected Member Functions | |
| void | computePointDescriptor (std::size_t index, std::vector< float > &desc) |
| Compute 3D shape context feature descriptor. | |
| bool | initCompute () override |
| Initialize computation by allocating all the intervals and the volume lookup table. | |
| void | computeFeature (PointCloudOut &output) override |
| The actual feature computation. | |
| Protected Member Functions inherited from pcl::Feature< PointInT, pcl::UniqueShapeContext1960 > | |
| const std::string & | getClassName () const |
| Get a string representation of the name of this class. | |
| virtual bool | deinitCompute () |
| This method should get called after ending the actual computation. | |
| 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. | |
| Protected Member Functions inherited from pcl::PCLBase< PointInT > | |
| bool | initCompute () |
| This method should get called before starting the actual computation. | |
| bool | deinitCompute () |
| This method should get called after finishing the actual computation. | |
| 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 | |
| std::vector< float > | radii_interval_ |
| values of the radii interval. | |
| std::vector< float > | theta_divisions_ |
| Theta divisions interval. | |
| std::vector< float > | phi_divisions_ |
| Phi divisions interval. | |
| std::vector< float > | volume_lut_ |
| Volumes look up table. | |
| std::size_t | azimuth_bins_ {14} |
| Bins along the azimuth dimension. | |
| std::size_t | elevation_bins_ {14} |
| Bins along the elevation dimension. | |
| std::size_t | radius_bins_ {10} |
| Bins along the radius dimension. | |
| double | min_radius_ {0.1} |
| Minimal radius value. | |
| double | point_density_radius_ {0.1} |
| Point density radius. | |
| std::size_t | descriptor_length_ {} |
| Descriptor length. | |
| double | local_radius_ {2.0} |
| Radius to compute local RF. | |
| Protected Attributes inherited from pcl::Feature< PointInT, pcl::UniqueShapeContext1960 > | |
| std::string | feature_name_ |
| The feature name. | |
| SearchMethodSurface | search_method_surface_ |
| The search method template for points. | |
| PointCloudInConstPtr | surface_ |
| An input point cloud describing the surface that is to be used for nearest neighbors estimation. | |
| KdTreePtr | tree_ |
| A pointer to the spatial search object. | |
| double | search_parameter_ |
| The actual search parameter (from either search_radius_ or k_). | |
| double | search_radius_ |
| The nearest neighbors search radius for each point. | |
| int | k_ |
| The number of K nearest neighbors to use for each point. | |
| bool | fake_surface_ |
| If no surface is given, we use the input PointCloud as the surface. | |
| Protected Attributes inherited from pcl::PCLBase< PointInT > | |
| PointCloudConstPtr | input_ |
| The input point cloud dataset. | |
| IndicesPtr | indices_ |
| A pointer to the vector of point indices to use. | |
| bool | use_indices_ |
| Set to true if point indices are used. | |
| bool | fake_indices_ |
| If no set of indices are given, we construct a set of fake indices that mimic the input PointCloud. | |
| Protected Attributes inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| PointCloudLRFConstPtr | frames_ |
| A boost shared pointer to the local reference frames. | |
| bool | frames_never_defined_ |
| The user has never set the frames. | |
Additional Inherited Members | |
| Protected Types inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame > | |
| using | LRFEstimationPtr |
| Check if frames_ has been correctly initialized and compute it if needed. | |
UniqueShapeContext implements the Unique Shape Context Descriptor described here:
The suggested PointOutT is pcl::UniqueShapeContext1960
| using pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::ConstPtr = shared_ptr<const UniqueShapeContext<PointInT, PointOutT, PointRFT> > |
| using pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::PointCloudIn = typename Feature<PointInT, PointOutT>::PointCloudIn |
| using pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::PointCloudOut = typename Feature<PointInT, PointOutT>::PointCloudOut |
| using pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::Ptr = shared_ptr<UniqueShapeContext<PointInT, PointOutT, PointRFT> > |
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Constructor.
Definition at line 85 of file usc.h.
References pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::feature_name_, phi_divisions_, radii_interval_, pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::search_radius_, theta_divisions_, and volume_lut_.
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The actual feature computation.
| [out] | output | the resultant features |
Definition at line 226 of file usc.hpp.
References computePointDescriptor(), descriptor_length_, pcl::PCLBase< PointInT >::indices_, pcl::PCLBase< PointInT >::input_, and pcl::isFinite().
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Compute 3D shape context feature descriptor.
| [in] | index | point index in input_ |
| [out] | desc | descriptor to compute |
Compute the angle between the neighbour and the z axis (normal) in the interval [0, 180]
Compute the Bin(j, k, l) coordinates of current neighbour
Bin (j, k, l)
Local point density = number of points in a sphere of radius "point_density_radius_" around the current neighbour
point_density is always bigger than 0 because FindPointsWithinRadius returns at least the point itself
Accumulate w into correspondent Bin(j,k,l)
Definition at line 146 of file usc.hpp.
References elevation_bins_, pcl::utils::equal(), pcl::FeatureWithLocalReferenceFrames< PointInT, pcl::ReferenceFrame >::frames_, pcl::PCLBase< PointInT >::indices_, phi_divisions_, point_density_radius_, pcl::geometry::project(), pcl::rad2deg(), radii_interval_, radius_bins_, pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::search_radius_, pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::searchForNeighbors(), pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::surface_, theta_divisions_, and volume_lut_.
Referenced by computeFeature().
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Definition at line 96 of file usc.h.
References azimuth_bins_.
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Definition at line 100 of file usc.h.
References elevation_bins_.
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Definition at line 125 of file usc.h.
References point_density_radius_.
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Definition at line 104 of file usc.h.
References radius_bins_.
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Initialize computation by allocating all the intervals and the volume lookup table.
Reimplemented from pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >.
Definition at line 54 of file usc.hpp.
References azimuth_bins_, pcl::deg2rad(), descriptor_length_, elevation_bins_, pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::fake_surface_, pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::getClassName(), pcl::PCLBase< PointInT >::indices_, pcl::Feature< PointInT, PointOutT >::initCompute(), pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT >::initLocalReferenceFrames(), pcl::PCLBase< PointInT >::input_, local_radius_, min_radius_, phi_divisions_, radii_interval_, radius_bins_, pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::search_radius_, pcl::PCLBase< PointT >::setIndices(), pcl::PCLBase< PointT >::setInputCloud(), pcl::Feature< PointInT, PointOutT >::setRadiusSearch(), pcl::Feature< PointInT, PointOutT >::setSearchSurface(), pcl::Feature< PointInT, pcl::UniqueShapeContext1960 >::surface_, theta_divisions_, and volume_lut_.
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Set the local RF radius value.
| [in] | radius | the desired local RF radius |
Definition at line 131 of file usc.h.
References local_radius_.
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The minimal radius value for the search sphere (rmin) in the original paper.
| [in] | radius | the desired minimal radius |
Definition at line 110 of file usc.h.
References min_radius_.
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This radius is used to compute local point density density = number of points within this radius.
| [in] | radius | Value of the point density search radius |
Definition at line 121 of file usc.h.
References point_density_radius_.
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Bins along the azimuth dimension.
Definition at line 168 of file usc.h.
Referenced by getAzimuthBins(), and initCompute().
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Descriptor length.
Definition at line 183 of file usc.h.
Referenced by computeFeature(), and initCompute().
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Bins along the elevation dimension.
Definition at line 171 of file usc.h.
Referenced by computePointDescriptor(), getElevationBins(), and initCompute().
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Radius to compute local RF.
Definition at line 186 of file usc.h.
Referenced by getLocalRadius(), initCompute(), and setLocalRadius().
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Minimal radius value.
Definition at line 177 of file usc.h.
Referenced by getMinimalRadius(), initCompute(), and setMinimalRadius().
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Phi divisions interval.
Definition at line 162 of file usc.h.
Referenced by computePointDescriptor(), initCompute(), and UniqueShapeContext().
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Point density radius.
Definition at line 180 of file usc.h.
Referenced by computePointDescriptor(), getPointDensityRadius(), and setPointDensityRadius().
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values of the radii interval.
Definition at line 156 of file usc.h.
Referenced by computePointDescriptor(), initCompute(), and UniqueShapeContext().
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Bins along the radius dimension.
Definition at line 174 of file usc.h.
Referenced by computePointDescriptor(), getRadiusBins(), and initCompute().
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Theta divisions interval.
Definition at line 159 of file usc.h.
Referenced by computePointDescriptor(), initCompute(), and UniqueShapeContext().
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Volumes look up table.
Definition at line 165 of file usc.h.
Referenced by computePointDescriptor(), initCompute(), and UniqueShapeContext().