Vaje.esnm.si
Since our motion field contains unreliable data, which can fool the least-squares fit, we compute the trimmed least squares. We compute the LS fit once to get an estimate of the transform, and again after the largest (worst 20%) of the outliers are eliminated. We transform the feature lines using the second fit. ................
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