rsd.h File Reference

#include <pcl/features/feature.h>

Include dependency graph for rsd.h:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes
class	pcl::RSDEstimation< PointInT, PointNT, PointOutT >
	RSDEstimation estimates the Radius-based Surface Descriptor (minimal and maximal radius of the local surface's curves) for a given point cloud dataset containing points and normals. More...
Namespaces
namespace	pcl
	Software License Agreement (BSD License)
Functions
int	pcl::getSimpleType (float min_radius, float max_radius, double min_radius_plane=0.100, double max_radius_noise=0.015, double min_radius_cylinder=0.175, double max_min_radius_diff=0.050)
	Simple rule-based labeling of the local surface type based on the principle curvatures.
template<int N>
void	pcl::getFeaturePointCloud (const std::vector< Eigen::MatrixXf > &histograms2D, PointCloud< Histogram< N > > &histogramsPC)
	Transform a list of 2D matrices into a point cloud containing the values in a vector (Histogram<N>).
template<typename PointInT , typename PointNT , typename PointOutT >
Eigen::MatrixXf	pcl::computeRSD (boost::shared_ptr< const pcl::PointCloud< PointInT > > &surface, boost::shared_ptr< const pcl::PointCloud< PointNT > > &normals, const std::vector< int > &indices, double max_dist, int nr_subdiv, double plane_radius, PointOutT &radii, bool compute_histogram=false)
	Estimate the Radius-based Surface Descriptor (RSD) for a given point based on its spatial neighborhood of 3D points with normals.
template<typename PointNT , typename PointOutT >
Eigen::MatrixXf	pcl::computeRSD (boost::shared_ptr< const pcl::PointCloud< PointNT > > &normals, const std::vector< int > &indices, const std::vector< float > &sqr_dists, double max_dist, int nr_subdiv, double plane_radius, PointOutT &radii, bool compute_histogram=false)
	Estimate the Radius-based Surface Descriptor (RSD) for a given point based on its spatial neighborhood of 3D points with normals.