41 #ifndef PCL_FEATURE_H_ 42 #define PCL_FEATURE_H_ 45 # pragma GCC system_header 48 #include <boost/function.hpp> 49 #include <boost/bind.hpp> 51 #include <pcl/pcl_base.h> 52 #include <pcl/search/search.h> 69 const Eigen::Vector4f &point,
70 Eigen::Vector4f &plane_parameters,
float &curvature);
86 float &nx,
float &ny,
float &nz,
float &curvature);
104 template <
typename Po
intInT,
typename Po
intOutT>
113 typedef boost::shared_ptr< Feature<PointInT, PointOutT> >
Ptr;
114 typedef boost::shared_ptr< const Feature<PointInT, PointOutT> >
ConstPtr;
125 typedef boost::function<int (size_t, double, std::vector<int> &, std::vector<float> &)>
SearchMethod;
126 typedef boost::function<int (const PointCloudIn &cloud, size_t index, double, std::vector<int> &, std::vector<float> &)>
SearchMethodSurface;
245 inline const std::string&
271 std::vector<int> &indices, std::vector<float> &distances)
const 289 std::vector<int> &indices, std::vector<float> &distances)
const 302 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
309 template <
typename Po
intInT,
typename Po
intNT,
typename Po
intOutT>
322 typedef boost::shared_ptr< FeatureFromNormals<PointInT, PointNT, PointOutT> >
Ptr;
323 typedef boost::shared_ptr< const FeatureFromNormals<PointInT, PointNT, PointOutT> >
ConstPtr;
361 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
367 template <
typename Po
intInT,
typename Po
intLT,
typename Po
intOutT>
381 typedef boost::shared_ptr< FeatureFromLabels<PointInT, PointLT, PointOutT> >
Ptr;
382 typedef boost::shared_ptr< const FeatureFromLabels<PointInT, PointLT, PointOutT> >
ConstPtr;
412 inline PointCloudLConstPtr
429 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
446 template <
typename Po
intInT,
typename Po
intRFT>
498 #include <pcl/features/impl/feature.hpp> 500 #endif //#ifndef PCL_FEATURE_H_ void setSearchSurface(const PointCloudInConstPtr &cloud)
Provide a pointer to a dataset to add additional information to estimate the features for every point...
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 ...
boost::function< int(const PointCloudIn &cloud, size_t index, double, std::vector< int > &, std::vector< float > &)> SearchMethodSurface
PointCloudLRFConstPtr frames_
A boost shared pointer to the local reference frames.
boost::shared_ptr< const FeatureFromNormals< PointInT, PointNT, PointOutT > > ConstPtr
FeatureFromNormals()
Empty constructor.
boost::shared_ptr< const FeatureFromLabels< PointInT, PointLT, PointOutT > > ConstPtr
virtual bool initCompute()
This method should get called before starting the actual computation.
PointCloudN::ConstPtr PointCloudNConstPtr
virtual ~FeatureFromLabels()
Empty destructor.
std::string feature_name_
The feature name.
int k_
The number of K nearest neighbors to use for each point.
double getRadiusSearch() const
Get the sphere radius used for determining the neighbors.
PointCloudN::Ptr PointCloudNPtr
FeatureWithLocalReferenceFrames()
Empty constructor.
void solvePlaneParameters(const Eigen::Matrix3f &covariance_matrix, const Eigen::Vector4f &point, Eigen::Vector4f &plane_parameters, float &curvature)
Solve the eigenvalues and eigenvectors of a given 3x3 covariance matrix, and estimate the least-squar...
boost::shared_ptr< const Feature< PointInT, PointOutT > > ConstPtr
virtual bool deinitCompute()
This method should get called after ending the actual computation.
virtual bool initCompute()
This method should get called before starting the actual computation.
pcl::PointCloud< PointRFT > PointCloudLRF
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 ...
void setRadiusSearch(double radius)
Set the sphere radius that is to be used for determining the nearest neighbors used for the feature e...
KdTreePtr tree_
A pointer to the spatial search object.
pcl::PointCloud< PointOutT > PointCloudOut
const std::string & getClassName() const
Get a string representation of the name of this class.
double getSearchParameter() const
Get the internal search parameter.
boost::shared_ptr< PointCloud< PointWithRange > > Ptr
PointCloudInConstPtr surface_
An input point cloud describing the surface that is to be used for nearest neighbors estimation...
Feature< PointInT, PointRFT >::Ptr LRFEstimationPtr
Check if frames_ has been correctly initialized and compute it if needed.
PointCloudIn::ConstPtr PointCloudInConstPtr
pcl::search::Search< PointInT >::Ptr KdTreePtr
boost::shared_ptr< pcl::search::Search< PointT > > Ptr
KdTreePtr getSearchMethod() const
Get a pointer to the search method used.
PointCloudIn::Ptr PointCloudInPtr
pcl::PointCloud< PointInT > PointCloudIn
bool fake_surface_
If no surface is given, we use the input PointCloud as the surface.
boost::shared_ptr< const PointCloud< PointWithRange > > ConstPtr
void setInputReferenceFrames(const PointCloudLRFConstPtr &frames)
Provide a pointer to the input dataset that contains the local reference frames of the XYZ dataset...
boost::shared_ptr< FeatureFromNormals< PointInT, PointNT, PointOutT > > Ptr
int getKSearch() const
get the number of k nearest neighbors used for the feature estimation.
PCLBase< PointInT > BaseClass
boost::shared_ptr< FeatureFromLabels< PointInT, PointLT, PointOutT > > Ptr
Feature()
Empty constructor.
pcl::PointCloud< PointNT > PointCloudN
PointCloudInConstPtr getSearchSurface() const
Get a pointer to the surface point cloud dataset.
bool frames_never_defined_
The user has never set the frames.
virtual ~FeatureFromNormals()
Empty destructor.
virtual bool initCompute()
This method should get called before starting the actual computation.
void setSearchMethod(const KdTreePtr &tree)
Provide a pointer to the search object.
pcl::search::Search< PointInT > KdTree
virtual bool initLocalReferenceFrames(const size_t &indices_size, const LRFEstimationPtr &lrf_estimation=LRFEstimationPtr())
virtual ~Feature()
Empty destructor.
PointCloudNConstPtr normals_
A pointer to the input dataset that contains the point normals of the XYZ dataset.
PointCloudLConstPtr labels_
A pointer to the input dataset that contains the point labels of the XYZ dataset. ...
PointCloudLConstPtr getInputLabels() const
Get a pointer to the labels of the input XYZ point cloud dataset.
void setInputLabels(const PointCloudLConstPtr &labels)
Provide a pointer to the input dataset that contains the point labels of the XYZ dataset.
double search_parameter_
The actual search parameter (from either search_radius_ or k_).
PointCloudNConstPtr getInputNormals() const
Get a pointer to the normals of the input XYZ point cloud dataset.
PointCloudConstPtr input_
The input point cloud dataset.
Feature represents the base feature class.
FeatureWithLocalReferenceFrames provides a public interface for descriptor extractor classes which ne...
boost::function< int(size_t, double, std::vector< int > &, std::vector< float > &)> SearchMethod
void compute(PointCloudOut &output)
Base method for feature estimation for all points given in <setInputCloud (), setIndices ()> using th...
boost::shared_ptr< Feature< PointInT, PointOutT > > Ptr
PointCloudLRF::ConstPtr PointCloudLRFConstPtr
void setKSearch(int k)
Set the number of k nearest neighbors to use for the feature estimation.
void setInputNormals(const PointCloudNConstPtr &normals)
Provide a pointer to the input dataset that contains the point normals of the XYZ dataset...
virtual ~FeatureWithLocalReferenceFrames()
Empty destructor.
PointCloudLRFConstPtr getInputReferenceFrames() const
Get a pointer to the local reference frames.
double search_radius_
The nearest neighbors search radius for each point.
SearchMethodSurface search_method_surface_
The search method template for points.
PointCloudLRF::Ptr PointCloudLRFPtr
FeatureFromLabels()
Empty constructor.