opentl::core::cvdata::T_MEAS_PIX Class Reference

Structure holding a single pixel-level measurement. A single measurement is related to: 1 target, 1 modality, 1 camera, 1 thread. More...

List of all members.

Public Member Functions
std::size_t	getJacSize () const
	Get the number of Jacobian images (= state dimension).
std::size_t	getMeasSize () const
	Get the actual measurement size = size of the ROI.
bool	getUseScalarResidual () const
	Return flag for computing scalar image residual.
void	resizeAll (std::size_t width, std::size_t height, opentl::core::cvdata::Image::ColorChannels channels=opentl::core::cvdata::Image::RGB, opentl::core::cvdata::Image::BitsPerChannel bpc=opentl::core::cvdata::Image::BPC8U, std::size_t jacSize_=0)
	Set image sizes, number of channels and bits per channel (the same for all data), and Jacobian dimension.
void	setUseScalarResidual (bool val)
	Set flag for computing scalar image residual.
	T_MEAS_PIX (bool scalarResidual=true)
Public Attributes
boost::shared_ptr < opentl::core::cvdata::Image >	E_image
	E_image = global image residual. Same number of channels of z and h, but internal type 64-bit floating point (double).
double	E_scalar
	E = scalar, global image residual between z and h.
boost::shared_ptr < opentl::core::cvdata::Image >	E_valid
	E_valid = pixel-wise validity mask for image residuals (0=missing, 1=valid). 1-channel, unsigned char.
boost::shared_ptr < opentl::core::cvdata::Image >	h
	h = expected pixel responses (e.g. target shadows). It has the same channels and internal type of z.
double	invCov
	invCov = inverse covariance of E (scalar, the same for each pixel)
std::vector< boost::shared_ptr < opentl::core::cvdata::Image > >	Jac_image
	Jac = pixel-wise Jacobian of h (set of derivative images). Each one has the same channels and type of E_image (floating point).
std::vector< double >	Jac_scalar
	Jac = Jacobian of scalar residual.
boost::shared_ptr < opentl::core::cvdata::Image >	z
	z = measured pixel responses. It may have an arbitrary number of channel and internal type.

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Detailed Description

Structure holding a single pixel-level measurement. A single measurement is related to: 1 target, 1 modality, 1 camera, 1 thread.

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Constructor & Destructor Documentation

opentl::core::cvdata::T_MEAS_PIX::T_MEAS_PIX

(

bool

scalarResidual = true

)

[inline]

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Member Function Documentation

std::size_t opentl::core::cvdata::T_MEAS_PIX::getJacSize

(

)

const [inline]

Get the number of Jacobian images (= state dimension).

std::size_t opentl::core::cvdata::T_MEAS_PIX::getMeasSize

(

)

const [inline]

Get the actual measurement size = size of the ROI.

bool opentl::core::cvdata::T_MEAS_PIX::getUseScalarResidual

(

)

const [inline]

Return flag for computing scalar image residual.

void opentl::core::cvdata::T_MEAS_PIX::resizeAll	(	std::size_t	width,
		std::size_t	height,
		opentl::core::cvdata::Image::ColorChannels	channels = opentl::core::cvdata::Image::RGB,
		opentl::core::cvdata::Image::BitsPerChannel	bpc = opentl::core::cvdata::Image::BPC8U,
		std::size_t	jacSize_ = 0
	)			[inline]

Set image sizes, number of channels and bits per channel (the same for all data), and Jacobian dimension.

void opentl::core::cvdata::T_MEAS_PIX::setUseScalarResidual

(

bool

val

)

[inline]

Set flag for computing scalar image residual.

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Member Data Documentation

boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::E_image

E_image = global image residual. Same number of channels of z and h, but internal type 64-bit floating point (double).

double opentl::core::cvdata::T_MEAS_PIX::E_scalar

E = scalar, global image residual between z and h.

boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::E_valid

E_valid = pixel-wise validity mask for image residuals (0=missing, 1=valid). 1-channel, unsigned char.

boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::h

h = expected pixel responses (e.g. target shadows). It has the same channels and internal type of z.

double opentl::core::cvdata::T_MEAS_PIX::invCov

invCov = inverse covariance of E (scalar, the same for each pixel)

std::vector<boost::shared_ptr<opentl::core::cvdata::Image> > opentl::core::cvdata::T_MEAS_PIX::Jac_image

Jac = pixel-wise Jacobian of h (set of derivative images). Each one has the same channels and type of E_image (floating point).

std::vector<double> opentl::core::cvdata::T_MEAS_PIX::Jac_scalar

Jac = Jacobian of scalar residual.

boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::z

z = measured pixel responses. It may have an arbitrary number of channel and internal type.