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We solve the constrained estimation by estimate projection as proposed in [22].
Estimate projection is used to project the estimates on to the constraint set after the update step in Kalman filtering.
We then combine the estimate projection with multiple-model estimation, which can adaptively smooth the camera motion in a probabilistic way.
To make the mode probability computation more accurate under the affect of black-border constraints, the multiple-model estimation is modified by adding another estimate projection step after the propagation step for each sub-filter.
Section 4.2 presents the proposed adaptive motion smoothing using multiple-model estimation and how to modify it with estimate projection.
Section 4.1 formulates the black-border constraints as linear inequalities for most of the 2D camera motion models, and shows how estimate projection can be used to solve the constrained estimation problem.
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After segmenting the drill in both projection images, the drill axes were back projected based on the estimated projection parameters.
The sufficient forecasting correctly estimates projection indices of the underlying factors even in the presence of a nonparametric forecasting function.
U.K. dividends paid out from 2008 to 2018, with an estimated projection for 2019 as a whole.
Since the parameters used by the triangulation procedure are measured point-match from Section 3.1 and the estimated projection matrix from Section 3.2, both of them may include noises.
A refinement of the estimated projection parameters was then performed by an intensity based registration [ 25 ], achieving a target registration error of 0.13 mm (std: 0.02 mm).
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CEO of Professional Science Editing for Scientists @ prosciediting.com