Public Member Functions | |
| std::size_t | getJacSize () |
| std::size_t | getMeasSize () |
| bool | getUseEImage () |
| Return true, if this measurement contains multi-hypotheses data structures for z and E. | |
| void | setImages (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) |
| Set image sizes, number of channels and bits per channel (the same for all data). | |
| std::size_t | setJacSize (std::size_t jacSize) |
| void | setUseEImage (bool val) |
| Return true, if this measurement contains multi-hypotheses data structures for z and E. | |
| T_MEAS_PIX (bool useEImage=false) | |
Public Attributes | |
| double | alpha |
| alpha = missing detection rate | |
| double | E |
| E = scalar global image residual "z-h". | |
| boost::shared_ptr < opentl::core::cvdata::Image > | E_image |
| E_image = global image residual. | |
| boost::shared_ptr < opentl::core::cvdata::Image > | h |
| h = expected pixel responses (e.g. target shadows) | |
| double | invCov |
| invCov = invert covariance of E | |
| std::vector< boost::shared_ptr < opentl::core::cvdata::Image > > | Jac |
| Jac = pixel-wise Jacobian of h (set of derivative images). | |
| double | lambda |
| lambda = false alarms rate | |
| unsigned int | maxNoFalseAlarms |
| unsigned int | nFalseAlarms |
| unsigned int | nMatches |
| unsigned int | nUnassociated |
| Number of missing detections for this measurement (expected h, but no measurement observed). | |
| boost::shared_ptr < opentl::core::cvdata::Image > | z |
| z = measured pixel responses | |
| opentl::core::cvdata::T_MEAS_PIX::T_MEAS_PIX | ( | bool | useEImage = false |
) | [inline] |
| std::size_t opentl::core::cvdata::T_MEAS_PIX::getJacSize | ( | ) | [inline] |
| std::size_t opentl::core::cvdata::T_MEAS_PIX::getMeasSize | ( | ) | [inline] |
| bool opentl::core::cvdata::T_MEAS_PIX::getUseEImage | ( | ) | [inline] |
Return true, if this measurement contains multi-hypotheses data structures for z and E.
| void opentl::core::cvdata::T_MEAS_PIX::setImages | ( | 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 | |||
| ) | [inline] |
Set image sizes, number of channels and bits per channel (the same for all data).
| std::size_t opentl::core::cvdata::T_MEAS_PIX::setJacSize | ( | std::size_t | jacSize | ) | [inline] |
| void opentl::core::cvdata::T_MEAS_PIX::setUseEImage | ( | bool | val | ) | [inline] |
Return true, if this measurement contains multi-hypotheses data structures for z and E.
alpha = missing detection rate
E = scalar global image residual "z-h".
| boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::E_image |
E_image = global image residual.
| boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::h |
h = expected pixel responses (e.g. target shadows)
invCov = invert covariance of E
| std::vector<boost::shared_ptr<opentl::core::cvdata::Image> > opentl::core::cvdata::T_MEAS_PIX::Jac |
Jac = pixel-wise Jacobian of h (set of derivative images).
lambda = false alarms rate
| unsigned int opentl::core::cvdata::T_MEAS_PIX::maxNoFalseAlarms |
| unsigned int opentl::core::cvdata::T_MEAS_PIX::nFalseAlarms |
| unsigned int opentl::core::cvdata::T_MEAS_PIX::nMatches |
| unsigned int opentl::core::cvdata::T_MEAS_PIX::nUnassociated |
Number of missing detections for this measurement (expected h, but no measurement observed).
| boost::shared_ptr<opentl::core::cvdata::Image> opentl::core::cvdata::T_MEAS_PIX::z |
z = measured pixel responses
1.5.8