Abstract
A frame grouping and merging scheme of sub-sequences to estimate precise camera motion parameters over long omnidirectional sequences is addressed. In this triplet-based approach, the back-projection errors of corresponding points by the camera model for grouping subsequences are used. This process accounts for the relative reliability of the estimated camera model in field of view. Experimental results show that the proposed method solves the problem inherent in sequential algorithm: its susceptibility to drift over long sequences.
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