pcl::ndt2d::ValueAndDerivatives< N, T > Struct Template Reference

Class to store vector value and first and second derivatives (grad vector and hessian matrix), so they can be returned easily from functions. More...

#include <pcl/registration/impl/ndt_2d.hpp>

Public Member Functions
	ValueAndDerivatives ()
ValueAndDerivatives< N, T > &	operator+= (ValueAndDerivatives< N, T > const &r)

Static Public Member Functions
static ValueAndDerivatives< N, T >	Zero ()

Public Attributes
Eigen::Matrix< T, N, N >	hessian
Eigen::Matrix< T, N, 1 >	grad
T	value

Detailed Description

template<unsigned N = 3, typename T = double>
struct pcl::ndt2d::ValueAndDerivatives< N, T >

Class to store vector value and first and second derivatives (grad vector and hessian matrix), so they can be returned easily from functions.

Definition at line 59 of file ndt_2d.hpp.

Constructor & Destructor Documentation

ValueAndDerivatives()

template<unsigned N = 3, typename T = double>

pcl::ndt2d::ValueAndDerivatives< N, T >::ValueAndDerivatives ( )

inline

Definition at line 60 of file ndt_2d.hpp.

References grad, hessian, and value.

Referenced by operator+=(), and Zero().

Member Function Documentation

operator+=()

template<unsigned N = 3, typename T = double>

ValueAndDerivatives< N, T > & pcl::ndt2d::ValueAndDerivatives< N, T >::operator+= ( ValueAndDerivatives< N, T > const & r )

inline

Definition at line 77 of file ndt_2d.hpp.

References grad, hessian, value, and ValueAndDerivatives().

Zero()

template<unsigned N = 3, typename T = double>

ValueAndDerivatives< N, T > pcl::ndt2d::ValueAndDerivatives< N, T >::Zero ( )

inlinestatic

Definition at line 67 of file ndt_2d.hpp.

References grad, hessian, value, and ValueAndDerivatives().

Referenced by pcl::NormalDistributionsTransform2D< PointSource, PointTarget >::computeTransformation(), pcl::ndt2d::NDT2D< PointT >::test(), pcl::ndt2d::NDTSingleGrid< PointT >::test(), and pcl::ndt2d::NormalDist< PointT >::test().

Member Data Documentation

grad

template<unsigned N = 3, typename T = double>

Eigen::Matrix<T, N, 1> pcl::ndt2d::ValueAndDerivatives< N, T >::grad

Definition at line 63 of file ndt_2d.hpp.

Referenced by pcl::NormalDistributionsTransform2D< PointSource, PointTarget >::computeTransformation(), operator+=(), pcl::ndt2d::NormalDist< PointT >::test(), ValueAndDerivatives(), and Zero().

hessian

template<unsigned N = 3, typename T = double>

Eigen::Matrix<T, N, N> pcl::ndt2d::ValueAndDerivatives< N, T >::hessian

Definition at line 62 of file ndt_2d.hpp.

Referenced by pcl::NormalDistributionsTransform2D< PointSource, PointTarget >::computeTransformation(), operator+=(), pcl::ndt2d::NormalDist< PointT >::test(), ValueAndDerivatives(), and Zero().

value

template<unsigned N = 3, typename T = double>

T pcl::ndt2d::ValueAndDerivatives< N, T >::value

Definition at line 64 of file ndt_2d.hpp.

Referenced by pcl::NormalDistributionsTransform2D< PointSource, PointTarget >::computeTransformation(), operator+=(), pcl::ndt2d::NormalDist< PointT >::test(), ValueAndDerivatives(), and Zero().

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

• pcl/registration/impl/ndt_2d.hpp