Eigen.h File Reference

#include "CVCoreLib.h"
#include <Eigen/Core>
#include <Eigen/Geometry>
#include <Eigen/StdVector>
#include <memory>
#include <tuple>
#include <unordered_map>
#include <utility>
#include <vector>
#include <initializer_list>

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Classes
class	std::vector< Eigen::Vector2d, std::allocator< Eigen::Vector2d > >
class	std::vector< Eigen::Vector4d, std::allocator< Eigen::Vector4d > >
class	std::vector< Eigen::Vector4f, std::allocator< Eigen::Vector4f > >
class	std::vector< Eigen::Matrix2d, std::allocator< Eigen::Matrix2d > >
class	std::vector< Eigen::Matrix2f, std::allocator< Eigen::Matrix2f > >
class	std::vector< Eigen::Matrix4d, std::allocator< Eigen::Matrix4d > >
class	std::vector< Eigen::Matrix4f, std::allocator< Eigen::Matrix4f > >
class	std::vector< Eigen::Affine3d, std::allocator< Eigen::Affine3d > >
class	std::vector< Eigen::Affine3f, std::allocator< Eigen::Affine3f > >
class	std::vector< Eigen::Quaterniond, std::allocator< Eigen::Quaterniond > >
class	std::vector< Eigen::Quaternionf, std::allocator< Eigen::Quaternionf > >
class	std::vector< Eigen::Matrix< float, 3, 4 >, std::allocator< Eigen::Matrix< float, 3, 4 > > >
class	std::vector< Eigen::Matrix< double, 3, 4 >, std::allocator< Eigen::Matrix< double, 3, 4 > > >

Namespaces
	std
	Eigen
	cloudViewer
	Generic file read and write utility for python interface.
	cloudViewer::utility

Macros
#define	CPP_VERSION   __cplusplus
#define	EIGEN_ALIGNED_ALLOCATOR   Eigen::aligned_allocator
#define	EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION_CUSTOM(...)

Typedefs
typedef Eigen::Matrix< double, 6, 6 >	Eigen::Matrix6d
	Extending Eigen namespace by adding frequently used matrix type. More...
typedef Eigen::Matrix< double, 6, 1 >	Eigen::Vector6d
typedef Eigen::Matrix< uint8_t, 3, 1 >	Eigen::Vector3uint8
typedef Eigen::Matrix< double, 6, 6, Eigen::DontAlign >	Eigen::Matrix6d_u
typedef Eigen::Matrix< double, 4, 4, Eigen::DontAlign >	Eigen::Matrix4d_u
typedef Eigen::Matrix< double, 3, 1, Eigen::DontAlign >	Eigen::Vector3d_u
typedef Eigen::Matrix< float, 3, 1, Eigen::DontAlign >	Eigen::Vector3f_u
typedef Eigen::Matrix< double, 4, 1, Eigen::DontAlign >	Eigen::Vector4d_u
typedef Eigen::Matrix< float, 4, 1, Eigen::DontAlign >	Eigen::Vector4f_u
using	cloudViewer::utility::Matrix4d_allocator = Eigen::aligned_allocator< Eigen::Matrix4d >
using	cloudViewer::utility::Matrix6d_allocator = Eigen::aligned_allocator< Eigen::Matrix6d >
using	cloudViewer::utility::Vector2d_allocator = Eigen::aligned_allocator< Eigen::Vector2d >
using	cloudViewer::utility::Vector3uint8_allocator = Eigen::aligned_allocator< Eigen::Vector3uint8 >
using	cloudViewer::utility::Vector4i_allocator = Eigen::aligned_allocator< Eigen::Vector4i >
using	cloudViewer::utility::Vector4d_allocator = Eigen::aligned_allocator< Eigen::Vector4d >
using	cloudViewer::utility::Vector6d_allocator = Eigen::aligned_allocator< Eigen::Vector6d >

Functions
Eigen::Matrix3d	cloudViewer::utility::SkewMatrix (const Eigen::Vector3d &vec)
	Genretate a skew-symmetric matrix from a vector 3x1. More...
Eigen::Matrix4d	cloudViewer::utility::TransformVector6dToMatrix4d (const Eigen::Vector6d &input)
Eigen::Vector6d	cloudViewer::utility::TransformMatrix4dToVector6d (const Eigen::Matrix4d &input)
std::tuple< bool, Eigen::VectorXd >	cloudViewer::utility::SolveLinearSystemPSD (const Eigen::MatrixXd &A, const Eigen::VectorXd &b, bool prefer_sparse=false, bool check_symmetric=false, bool check_det=false, bool check_psd=false)
	Function to solve Ax=b. More...
std::tuple< bool, Eigen::Matrix4d >	cloudViewer::utility::SolveJacobianSystemAndObtainExtrinsicMatrix (const Eigen::Matrix6d &JTJ, const Eigen::Vector6d &JTr)
std::tuple< bool, std::vector< Eigen::Matrix4d, Matrix4d_allocator > >	cloudViewer::utility::SolveJacobianSystemAndObtainExtrinsicMatrixArray (const Eigen::MatrixXd &JTJ, const Eigen::VectorXd &JTr)
template<typename MatType , typename VecType >
std::tuple< MatType, VecType, double >	cloudViewer::utility::ComputeJTJandJTr (std::function< void(int, VecType &, double &, double &)> f, int iteration_num, bool verbose=true)
template<typename MatType , typename VecType >
std::tuple< MatType, VecType, double >	cloudViewer::utility::ComputeJTJandJTr (std::function< void(int, std::vector< VecType, Eigen::aligned_allocator< VecType >> &, std::vector< double > &, std::vector< double > &)> f, int iteration_num, bool verbose=true)
Eigen::Matrix3d	cloudViewer::utility::RotationMatrixX (double radians)
Eigen::Matrix3d	cloudViewer::utility::RotationMatrixY (double radians)
Eigen::Matrix3d	cloudViewer::utility::RotationMatrixZ (double radians)
Eigen::Vector3uint8	cloudViewer::utility::ColorToUint8 (const Eigen::Vector3d &color)
Eigen::Vector3d	cloudViewer::utility::ColorToDouble (uint8_t r, uint8_t g, uint8_t b)
	Color conversion from uint8_t 0-255 to double [0,1]. More...
Eigen::Vector3d	cloudViewer::utility::ColorToDouble (const Eigen::Vector3uint8 &rgb)
template<typename IdxType >
Eigen::Matrix3d	cloudViewer::utility::ComputeCovariance (const std::vector< Eigen::Vector3d > &points, const std::vector< IdxType > &indices)
	Function to compute the covariance matrix of a set of points. More...
template<typename IdxType >
std::tuple< Eigen::Vector3d, Eigen::Matrix3d >	cloudViewer::utility::ComputeMeanAndCovariance (const std::vector< Eigen::Vector3d > &points, const std::vector< IdxType > &indices)
	Function to compute the mean and covariance matrix of a set of points. More...
template<typename RealType , typename IdxType >
std::tuple< Eigen::Vector3d, Eigen::Matrix3d >	cloudViewer::utility::ComputeMeanAndCovariance (const RealType *const points, const std::vector< IdxType > &indices)

Macro Definition Documentation

CPP_VERSION

#define CPP_VERSION   __cplusplus

Definition at line 16 of file Eigen.h.

EIGEN_ALIGNED_ALLOCATOR

#define EIGEN_ALIGNED_ALLOCATOR   Eigen::aligned_allocator

Definition at line 46 of file Eigen.h.

EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION_CUSTOM

#define EIGEN_DEFINE_STL_VECTOR_SPECIALIZATION_CUSTOM

(

...

)

Definition at line 52 of file Eigen.h.