Covariance estimation for minimal geometry solvers via scaled unscented transformation ?
Scaled unscented transformation (SUT) for minimal geometry solvers (MGS). SUT vs. first-order-propagation (FOP) in uncertainty estimation of MGS. Since MGS are highly nonlinear, SUT is a better uncertainty estimator than FOP.
covariance estimation camera calibration epipolar geometry