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In the same way, the boundary zone should avoid mismatching features across the borders, but at the same time, be tolerant to the border constraints.
The black-border constraint was approximately modeled by an interval constraint on the motion parameters.
The motion model was 2D similarity motion, and the black-border constraint was modeled precisely as linear inequalities.
For the frames which the intentional camera motion changes fast, a larger value of σ p can provide the flexibility in tracking the camera motion change and avoid estimate projection for satisfying the black-border constraint.
The black-border constraints were rarely considered in online motion smoothing.
Black-border constraints are modeled as linear inequalities and solved by estimation projection.
The black-border constraints are exactly modeled as linear inequalities for almost every 2D motion model.
In this paper, the black-border constraints naturally restrict such divergence to a very small value.
For more complicated motion models, interval constraints are not able to model the black-border constraints accurately.
In this subsection, the black-border constraints in Section 4.1 is applied to the multi-model estimation.
It is clear that affine motion smoothing can better stabilize the original video under the same black-border constraints.
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