Figure 4
Effect of regularization of orientation in the SASTT optimization, as introduced in the work of Liebi et al. (2018). (a) The L-curve method is used to find the appropriate regularization parameter, in this case μ = 0.1 (marked with a red arrow). (b) Corresponding dependence of penalty term ∊q(reg) (left vertical axis, black) and of the error metric ∊q (right vertical axis, blue) on the regularization parameter μ. Open circles refer to optimization with five iterations, whereas the full circles refer to an optimization with 50 iterations. |