opentl::core::cvdata::T_MEAS_LIK Class Reference

Structure holding the output, explicit measurement data, collected by the likelihood class.

• a single measurement structure is related to: 1 target, 1 modality (hence also 1 camera), and 1 thread.

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List of all members.

Public Member Functions
std::size_t	getJacSize () const
	Get degree of freedom of Jac matrix.
std::size_t	getNMaxMeas () const
	Get number of allocated data.
std::size_t	getNMeas () const
	Get number of actual measurement data.
void	resizeAll (std::size_t maxMeas_, std::size_t jacSize_)
	Allocate data for variable-size measurements (dynamic data fusion), stacking measurements from different modalities.
void	setNMeas (std::size_t nMeas_)
	Set number of available features (it must be less or equal than the number of allocated features).
	T_MEAS_LIK (std::size_t nMaxMeas_=1, std::size_t jacSize_=0)
Public Attributes
std::vector< double >	E
	Stacked residual. 1st idx: measurement entry.
std::vector< double >	invCov
	Inverse covariance (purely diagonal) 1st idx: measurement entry.
std::vector< std::vector < double > >	transpJac
	Transposed Jacobian matrix. 1st index: state param; 2nd idx: measurement entry.
std::vector< int >	validity
	Validity flag (0 = invalid; 1 = valid) for each entry inside E. 1st idx: measurement entry.

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Detailed Description

Structure holding the output, explicit measurement data, collected by the likelihood class.

• a single measurement structure is related to: 1 target, 1 modality (hence also 1 camera), and 1 thread.

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Constructor & Destructor Documentation

opentl::core::cvdata::T_MEAS_LIK::T_MEAS_LIK	(	std::size_t	nMaxMeas_ = 1,
		std::size_t	jacSize_ = 0
	)			[inline]

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Member Function Documentation

std::size_t opentl::core::cvdata::T_MEAS_LIK::getJacSize

(

)

const [inline]

Get degree of freedom of Jac matrix.

std::size_t opentl::core::cvdata::T_MEAS_LIK::getNMaxMeas

(

)

const [inline]

Get number of allocated data.

std::size_t opentl::core::cvdata::T_MEAS_LIK::getNMeas

(

)

const [inline]

Get number of actual measurement data.

void opentl::core::cvdata::T_MEAS_LIK::resizeAll	(	std::size_t	maxMeas_,
		std::size_t	jacSize_
	)			[inline]

Allocate data for variable-size measurements (dynamic data fusion), stacking measurements from different modalities.

void opentl::core::cvdata::T_MEAS_LIK::setNMeas

(

std::size_t

nMeas_

)

[inline]

Set number of available features (it must be less or equal than the number of allocated features).

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Member Data Documentation

std::vector<double> opentl::core::cvdata::T_MEAS_LIK::E

Stacked residual. 1st idx: measurement entry.

std::vector<double> opentl::core::cvdata::T_MEAS_LIK::invCov

Inverse covariance (purely diagonal) 1st idx: measurement entry.

std::vector<std::vector<double> > opentl::core::cvdata::T_MEAS_LIK::transpJac

Transposed Jacobian matrix. 1st index: state param; 2nd idx: measurement entry.

std::vector<int> opentl::core::cvdata::T_MEAS_LIK::validity

Validity flag (0 = invalid; 1 = valid) for each entry inside E. 1st idx: measurement entry.