Private Member Functions
pcl::NormalEstimation< PointInT, Eigen::MatrixXf > Class Template Reference

NormalEstimation estimates local surface properties at each 3D point, such as surface normals and curvatures. More...

#include <normal_3d.h>

Inheritance diagram for pcl::NormalEstimation< PointInT, Eigen::MatrixXf >:
Inheritance graph
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List of all members.

Private Member Functions

void compute (pcl::PointCloud< pcl::Normal > &)
 Make the compute (&PointCloudOut); inaccessible from outside the class.
void computeFeatureEigen (pcl::PointCloud< Eigen::MatrixXf > &output)
 Estimate normals for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()

Detailed Description

template<typename PointInT>
class pcl::NormalEstimation< PointInT, Eigen::MatrixXf >

NormalEstimation estimates local surface properties at each 3D point, such as surface normals and curvatures.

Note:
The code is stateful as we do not expect this class to be multicore parallelized. Please look at NormalEstimationOMP for a parallel implementation.
Author:
Radu B. Rusu

Definition at line 375 of file normal_3d.h.


Member Function Documentation

template<typename PointInT >
void pcl::NormalEstimation< PointInT, Eigen::MatrixXf >::compute ( pcl::PointCloud< pcl::Normal > &  ) [inline, private]

Make the compute (&PointCloudOut); inaccessible from outside the class.

Parameters:
[out]outputthe output point cloud

Reimplemented from pcl::Feature< PointInT, pcl::Normal >.

Definition at line 402 of file normal_3d.h.

template<typename PointInT >
void pcl::NormalEstimation< PointInT, Eigen::MatrixXf >::computeFeatureEigen ( pcl::PointCloud< Eigen::MatrixXf > &  output) [private, virtual]

Estimate normals for all points given in <setInputCloud (), setIndices ()> using the surface in setSearchSurface () and the spatial locator in setSearchMethod ()

Note:
In situations where not enough neighbors are found, the normal and curvature values are set to NaN
Parameters:
[out]outputthe resultant point cloud model dataset that contains surface normals and curvatures

Reimplemented from pcl::NormalEstimation< PointInT, pcl::Normal >.

Definition at line 103 of file normal_3d.hpp.


The documentation for this class was generated from the following files:


pcl
Author(s): Open Perception
autogenerated on Mon Oct 6 2014 03:19:40