rsd.h File Reference

#include <pcl/features/feature.h>

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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
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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 >
void	pcl::computeRSD (const PointCloud< PointInT > &surface, const PointCloud< PointNT > &normals, const std::vector< int > &indices, double max_dist, int nr_subdiv, double plane_radius, PointOutT &radii, Eigen::MatrixXf *histogram=NULL)
	Estimate the Radius-based Surface Descriptor (RSD) for a given point based on its spatial neighborhood of 3D points with normals.