mp2p_icp::PointCloudEigen Struct Reference

Output of estimate_points_eigen() More...

#include <estimate_points_eigen.h>

Public Attributes
std::array< double, 3 >	eigVals = {0, 0, 0}
	sorted in ascending order More...
std::array< mrpt::math::TVector3D, 3 >	eigVectors = {{{0, 0, 0}, {0, 0, 0}, {0, 0, 0}}}
mrpt::poses::CPointPDFGaussian	meanCov

Detailed Description

Output of estimate_points_eigen()

Eigen vectors and eigen values are sorted from smallest to largest eigenvalue.

Definition at line 32 of file estimate_points_eigen.h.

Member Data Documentation

eigVals

std::array<double, 3> mp2p_icp::PointCloudEigen::eigVals = {0, 0, 0}

sorted in ascending order

Definition at line 36 of file estimate_points_eigen.h.

eigVectors

std::array<mrpt::math::TVector3D, 3> mp2p_icp::PointCloudEigen::eigVectors = {{{0, 0, 0}, {0, 0, 0}, {0, 0, 0}}}

Definition at line 35 of file estimate_points_eigen.h.

meanCov

mrpt::poses::CPointPDFGaussian mp2p_icp::PointCloudEigen::meanCov

Definition at line 34 of file estimate_points_eigen.h.

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The documentation for this struct was generated from the following file:

• estimate_points_eigen.h