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Point Cloud Library (PCL)
1.7.2
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CVFHEstimation estimates the Clustered Viewpoint Feature Histogram (CVFH) descriptor for a given point cloud dataset containing XYZ data and normals, as presented in: More...
#include <pcl/features/cvfh.h>
Inheritance diagram for pcl::CVFHEstimation< PointInT, PointNT, PointOutT >:
Collaboration diagram for pcl::CVFHEstimation< PointInT, PointNT, PointOutT >:Public Types | |
| typedef boost::shared_ptr < CVFHEstimation< PointInT, PointNT, PointOutT > > | Ptr |
| typedef boost::shared_ptr < const CVFHEstimation < PointInT, PointNT, PointOutT > > | ConstPtr |
| typedef Feature< PointInT, PointOutT >::PointCloudOut | PointCloudOut |
| typedef pcl::search::Search < PointNormal >::Ptr | KdTreePtr |
| typedef pcl::VFHEstimation < PointInT, PointNT, pcl::VFHSignature308 > | VFHEstimator |
Public Types inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
| typedef pcl::PointCloud< PointNT > | PointCloudN |
| typedef PointCloudN::Ptr | PointCloudNPtr |
| typedef PointCloudN::ConstPtr | PointCloudNConstPtr |
| typedef boost::shared_ptr < FeatureFromNormals< PointInT, PointNT, PointOutT > > | Ptr |
| typedef boost::shared_ptr < const FeatureFromNormals < PointInT, PointNT, PointOutT > > | 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 Member Functions | |
| CVFHEstimation () | |
| Empty constructor. More... | |
| void | filterNormalsWithHighCurvature (const pcl::PointCloud< PointNT > &cloud, std::vector< int > &indices_to_use, std::vector< int > &indices_out, std::vector< int > &indices_in, float threshold) |
| Removes normals with high curvature caused by real edges or noisy data. More... | |
| void | setViewPoint (float vpx, float vpy, float vpz) |
| Set the viewpoint. More... | |
| void | setRadiusNormals (float radius_normals) |
| Set the radius used to compute normals. More... | |
| void | getViewPoint (float &vpx, float &vpy, float &vpz) |
| Get the viewpoint. More... | |
| void | getCentroidClusters (std::vector< Eigen::Vector3f > ¢roids) |
| Get the centroids used to compute different CVFH descriptors. More... | |
| void | getCentroidNormalClusters (std::vector< Eigen::Vector3f > ¢roids) |
| Get the normal centroids used to compute different CVFH descriptors. More... | |
| void | setClusterTolerance (float d) |
| Sets max. More... | |
| void | setEPSAngleThreshold (float d) |
| Sets max. More... | |
| void | setCurvatureThreshold (float d) |
| Sets curvature threshold for removing normals. More... | |
| void | setMinPoints (size_t min) |
| Set minimum amount of points for a cluster to be considered. More... | |
| void | setNormalizeBins (bool normalize) |
| Sets wether if the CVFH signatures should be normalized or not. More... | |
| void | compute (PointCloudOut &output) |
| Overloaded computed method from pcl::Feature. More... | |
Public Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
| FeatureFromNormals () | |
| Empty constructor. More... | |
| virtual | ~FeatureFromNormals () |
| Empty destructor. 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... | |
| 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... | |
Protected Attributes | |
| std::vector< Eigen::Vector3f > | centroids_dominant_orientations_ |
| Centroids that were used to compute different CVFH descriptors. More... | |
| std::vector< Eigen::Vector3f > | dominant_normals_ |
| Normal centroids that were used to compute different CVFH descriptors. 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... | |
Additional Inherited Members | |
Protected Member Functions inherited from pcl::FeatureFromNormals< PointInT, PointNT, PointOutT > | |
| 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 (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... | |
CVFHEstimation estimates the Clustered Viewpoint Feature Histogram (CVFH) descriptor for a given point cloud dataset containing XYZ data and normals, as presented in:
The suggested PointOutT is pcl::VFHSignature308.
| typedef boost::shared_ptr<const CVFHEstimation<PointInT, PointNT, PointOutT> > pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::ConstPtr |
| typedef pcl::search::Search<PointNormal>::Ptr pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::KdTreePtr |
| typedef Feature<PointInT, PointOutT>::PointCloudOut pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::PointCloudOut |
| typedef boost::shared_ptr<CVFHEstimation<PointInT, PointNT, PointOutT> > pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::Ptr |
| typedef pcl::VFHEstimation<PointInT, PointNT, pcl::VFHSignature308> pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::VFHEstimator |
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Empty constructor.
Definition at line 83 of file cvfh.h.
References pcl::Feature< PointInT, PointOutT >::feature_name_, pcl::Feature< PointInT, PointOutT >::k_, and pcl::Feature< PointInT, PointOutT >::search_radius_.
| void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::compute | ( | PointCloudOut & | output | ) |
Overloaded computed method from pcl::Feature.
| [out] | output | the resultant point cloud model dataset containing the estimated features |
Definition at line 51 of file cvfh.hpp.
References pcl::PointCloud< T >::height, pcl::PointCloud< T >::points, and pcl::PointCloud< T >::width.
| void pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::filterNormalsWithHighCurvature | ( | const pcl::PointCloud< PointNT > & | cloud, |
| std::vector< int > & | indices_to_use, | ||
| std::vector< int > & | indices_out, | ||
| std::vector< int > & | indices_in, | ||
| float | threshold | ||
| ) |
Removes normals with high curvature caused by real edges or noisy data.
| [in] | cloud | pointcloud to be filtered |
| [in] | indices_to_use | the indices to use |
| [out] | indices_out | the indices of the points with higher curvature than threshold |
| [out] | indices_in | the indices of the remaining points after filtering |
| [in] | threshold | threshold value for curvature |
Definition at line 162 of file cvfh.hpp.
References pcl::PointCloud< T >::points.
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Get the centroids used to compute different CVFH descriptors.
| [out] | centroids | vector to hold the centroids |
Definition at line 151 of file cvfh.h.
References pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::centroids_dominant_orientations_.
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Get the normal centroids used to compute different CVFH descriptors.
| [out] | centroids | vector to hold the normal centroids |
Definition at line 161 of file cvfh.h.
References pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::dominant_normals_.
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Centroids that were used to compute different CVFH descriptors.
Definition at line 283 of file cvfh.h.
Referenced by pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::getCentroidClusters().
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Normal centroids that were used to compute different CVFH descriptors.
Definition at line 285 of file cvfh.h.
Referenced by pcl::CVFHEstimation< PointInT, PointNT, PointOutT >::getCentroidNormalClusters().