Abstract
A robust global motion model estimation method is proposed by fitting the optical flow field for aerial imagery. Considering the outlier-sensitive defect of traditional least-squares regression technique, we put forward a simple optical flow valuation mechanism to choose a small set of reliable flows for fitting. Since flow outliers that are unfit for fitting are almost completely removed, the final global motion estimation result is highly improved. Experimental results show the robustness and applicability of our method.
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