Classes | Namespaces | Functions
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

Functions

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.
template<int N>
void pcl::getFeaturePointCloud (const std::vector< Eigen::MatrixXf, Eigen::aligned_allocator< 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>). Can be used to transform the 2D histograms obtained in RSDEstimation into a point cloud.


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:19:13