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Point Cloud Library (PCL)
1.7.2
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UniqueShapeContext implements the Unique Shape Context Descriptor described here: More...
#include <pcl/features/usc.h>
Inheritance diagram for pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >:
Collaboration diagram for pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >:Public Types | |
| typedef Feature< PointInT, PointOutT >::PointCloudOut | PointCloudOut |
| typedef Feature< PointInT, PointOutT >::PointCloudIn | PointCloudIn |
| typedef boost::shared_ptr < UniqueShapeContext< PointInT, PointOutT, PointRFT > > | Ptr |
| typedef boost::shared_ptr < const UniqueShapeContext < PointInT, PointOutT, PointRFT > > | ConstPtr |
Public Types inherited from pcl::Feature< PointInT, PointOutT > | |
| typedef PCLBase< PointInT > | BaseClass |
| typedef boost::shared_ptr < Feature< PointInT, PointOutT > > | Ptr |
| typedef boost::shared_ptr < const Feature< PointInT, PointOutT > > | ConstPtr |
| typedef pcl::search::Search < PointInT > | KdTree |
| typedef pcl::search::Search < PointInT >::Ptr | KdTreePtr |
| typedef pcl::PointCloud< PointInT > | PointCloudIn |
| typedef PointCloudIn::Ptr | PointCloudInPtr |
| typedef PointCloudIn::ConstPtr | PointCloudInConstPtr |
| typedef pcl::PointCloud < PointOutT > | PointCloudOut |
| typedef boost::function< int(size_t, double, std::vector< int > &, std::vector< float > &)> | SearchMethod |
| typedef boost::function< int(const PointCloudIn &cloud, size_t index, double, std::vector < int > &, std::vector< float > &)> | SearchMethodSurface |
Public Types inherited from pcl::PCLBase< PointInT > | |
| typedef pcl::PointCloud< PointInT > | PointCloud |
| typedef PointCloud::Ptr | PointCloudPtr |
| typedef PointCloud::ConstPtr | PointCloudConstPtr |
| typedef boost::shared_ptr < PointIndices > | PointIndicesPtr |
| typedef boost::shared_ptr < PointIndices const > | PointIndicesConstPtr |
Public Types inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT > | |
| typedef pcl::PointCloud< PointRFT > | PointCloudLRF |
| typedef PointCloudLRF::Ptr | PointCloudLRFPtr |
| typedef PointCloudLRF::ConstPtr | PointCloudLRFConstPtr |
Public Member Functions | |
| UniqueShapeContext () | |
| Constructor. More... | |
| virtual | ~UniqueShapeContext () |
| size_t | getAzimuthBins () const |
| size_t | getElevationBins () const |
| size_t | getRadiusBins () const |
| void | setMinimalRadius (double radius) |
| The minimal radius value for the search sphere (rmin) in the original paper. More... | |
| double | getMinimalRadius () const |
| void | setPointDensityRadius (double radius) |
| This radius is used to compute local point density density = number of points within this radius. More... | |
| double | getPointDensityRadius () const |
| void | setLocalRadius (double radius) |
| Set the local RF radius value. More... | |
| double | getLocalRadius () const |
Public Member Functions inherited from pcl::Feature< PointInT, PointOutT > | |
| Feature () | |
| Empty constructor. More... | |
| virtual | ~Feature () |
| Empty destructor. 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 () |
| 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 (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... | |
| IndicesConstPtr const | getIndices () const |
| Get a pointer to the vector of indices used. More... | |
| const PointInT & | operator[] (size_t pos) const |
| Override PointCloud operator[] to shorten code. More... | |
Public Member Functions inherited from pcl::FeatureWithLocalReferenceFrames< PointInT, PointRFT > | |
| FeatureWithLocalReferenceFrames () | |
| Empty constructor. More... | |
| virtual | ~FeatureWithLocalReferenceFrames () |
| Empty 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 | |
| void | computePointDescriptor (size_t index, std::vector< float > &desc) |
| Compute 3D shape context feature descriptor. More... | |
| virtual bool | initCompute () |
| Initialize computation by allocating all the intervals and the volume lookup table. More... | |
| virtual void | computeFeature (PointCloudOut &output) |
| The actual feature 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 (size_t index, double parameter, std::vector< int > &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, size_t index, double parameter, std::vector< int > &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, PointRFT > | |
| virtual bool | initLocalReferenceFrames (const size_t &indices_size, const LRFEstimationPtr &lrf_estimation=LRFEstimationPtr()) |
Protected Attributes | |
| std::vector< float > | radii_interval_ |
| values of the radii interval. More... | |
| std::vector< float > | theta_divisions_ |
| Theta divisions interval. More... | |
| std::vector< float > | phi_divisions_ |
| Phi divisions interval. More... | |
| std::vector< float > | volume_lut_ |
| Volumes look up table. More... | |
| size_t | azimuth_bins_ |
| Bins along the azimuth dimension. More... | |
| size_t | elevation_bins_ |
| Bins along the elevation dimension. More... | |
| size_t | radius_bins_ |
| Bins along the radius dimension. More... | |
| double | min_radius_ |
| Minimal radius value. More... | |
| double | point_density_radius_ |
| Point density radius. More... | |
| size_t | descriptor_length_ |
| Descriptor length. More... | |
| double | local_radius_ |
| Radius to compute local RF. 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, PointRFT > | |
| 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, PointRFT > | |
| typedef Feature< PointInT, PointRFT >::Ptr | LRFEstimationPtr |
| Check if frames_ has been correctly initialized and compute it if needed. More... | |
UniqueShapeContext implements the Unique Shape Context Descriptor described here:
The suggested PointOutT is pcl::ShapeContext1980
| typedef boost::shared_ptr<const UniqueShapeContext<PointInT, PointOutT, PointRFT> > pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::ConstPtr |
| typedef Feature<PointInT, PointOutT>::PointCloudIn pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::PointCloudIn |
| typedef Feature<PointInT, PointOutT>::PointCloudOut pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::PointCloudOut |
| typedef boost::shared_ptr<UniqueShapeContext<PointInT, PointOutT, PointRFT> > pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::Ptr |
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Constructor.
Definition at line 86 of file usc.h.
References pcl::Feature< PointInT, PointOutT >::feature_name_, and pcl::Feature< PointInT, PointOutT >::search_radius_.
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The actual feature computation.
| [out] | output | the resultant features |
Implements pcl::Feature< PointInT, PointOutT >.
Definition at line 247 of file usc.hpp.
References pcl::PointCloud< T >::is_dense, pcl::isFinite(), and pcl::PointCloud< T >::points.
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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]
Bin (j, k, l)
Compute the Bin(j, k, l) coordinates of current neighbour
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 correspondant Bin(j,k,l)
Definition at line 144 of file usc.hpp.
References pcl::geometry::project(), and pcl::rad2deg().
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Definition at line 102 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::azimuth_bins_.
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Definition at line 109 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::elevation_bins_.
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Definition at line 147 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::local_radius_.
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Definition at line 126 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::min_radius_.
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Definition at line 137 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::point_density_radius_.
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Definition at line 116 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::radius_bins_.
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Initialize computation by allocating all the intervals and the volume lookup table.
Reimplemented from pcl::Feature< PointInT, PointOutT >.
Definition at line 52 of file usc.hpp.
References pcl::deg2rad(), pcl::PCLBase< PointInT >::setIndices(), pcl::PCLBase< PointInT >::setInputCloud(), pcl::Feature< PointInT, PointOutT >::setRadiusSearch(), and pcl::Feature< PointInT, PointOutT >::setSearchSurface().
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Set the local RF radius value.
| [in] | radius | the desired local RF radius |
Definition at line 143 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::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 122 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::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 133 of file usc.h.
References pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::point_density_radius_.
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Bins along the azimuth dimension.
Definition at line 180 of file usc.h.
Referenced by pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::getAzimuthBins().
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Bins along the elevation dimension.
Definition at line 183 of file usc.h.
Referenced by pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::getElevationBins().
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Radius to compute local RF.
Definition at line 198 of file usc.h.
Referenced by pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::getLocalRadius(), and pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::setLocalRadius().
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Minimal radius value.
Definition at line 189 of file usc.h.
Referenced by pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::getMinimalRadius(), and pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::setMinimalRadius().
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Point density radius.
Definition at line 192 of file usc.h.
Referenced by pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::getPointDensityRadius(), and pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::setPointDensityRadius().
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Bins along the radius dimension.
Definition at line 186 of file usc.h.
Referenced by pcl::UniqueShapeContext< PointInT, PointOutT, PointRFT >::getRadiusBins().
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