Abstract
We propose a rolling shutter video rectification method that can deal with both camera translation and rotation for videos obtained from unknown sources. As the exact distortions caused by rolling shutter are too complex, this method aims to remove the majority of the distortions. A 2D rotation model is used to approximately represent the motion of each frame. The parameters of this model are solved by minimizing the measurement constraints on point correspondences. To relax the restriction on the form of frame motion, the frame motion computation is performed sequentially. Experiments show that our method is comparable to the 3D models that require camera calibration.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (51179146) and the Fundamental Research Funds for the Central Universities (2012-IV-041).
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Liu, G., Sun, Y., Chen, X. (2013). A Rectification Method for Removing Rolling Shutter Distortion. In: Lu, W., Cai, G., Liu, W., Xing, W. (eds) Proceedings of the 2012 International Conference on Information Technology and Software Engineering. Lecture Notes in Electrical Engineering, vol 210. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34528-9_25
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DOI: https://doi.org/10.1007/978-3-642-34528-9_25
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