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 |
mrpt::poses::CPointPDFGaussian | meanCov |
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.
std::array<double, 3> mp2p_icp::PointCloudEigen::eigVals = {0, 0, 0} |
sorted in ascending order
Definition at line 37 of file estimate_points_eigen.h.
std::array<mrpt::math::TVector3D, 3> mp2p_icp::PointCloudEigen::eigVectors |
Definition at line 35 of file estimate_points_eigen.h.
mrpt::poses::CPointPDFGaussian mp2p_icp::PointCloudEigen::meanCov |
Definition at line 34 of file estimate_points_eigen.h.