Jafar: jafar::bundle::observationsContainer Class Reference

Container for all observations used by the BA algorithm. More...

Detailed Description

Container for all observations used by the BA algorithm.

Definition at line 230 of file bundleData.hpp.

Public Member Functions
	observationsContainer (bundleDimension const &bDim_)
	Constructor User gives numbers of different observation.
	observationsContainer (observationsContainer const &ODB_)
	Copy constructor.
	~observationsContainer ()
	Destructor to free memory allocated in the constructor.
void	initFromFile (const bundleParameters &bP)
	Fill tabulars from input data file (whose paths are stored in an bundleParameters Class object)
double	residualWL2Norm ()
	Compute and return the Mahalonobis norm of the global residual vector.
double	residualL2Norm ()
	Compute and return the L2 norm of the global residual vector.
Public Attributes
bundleDimension	pbDim
	Dimension.
jblas::bool_mat	sparseSB1
	Sparse structure of the B1 matrix (an element of the jacobian matrix)
jblas::bool_mat	sparseSB2
	Sparse structure of the B2 matrix (an element of the jacobian matrix)
std::vector< observation * >	obs2D
	Tabular of Image features.
std::vector< observation * >	obs3D
	Tabular of approximately well located 3D structure elements.
std::vector< observation * >	obsCPDV
	Tabular of approximately well known extrinsic parameters.

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