Low Power Parallel Rolling Shutter Artifact Removal

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  • This work presents an algorithm capable of modeling and correcting video artifacts caused by movements of a rolling shutter video camera. An affine transformation is used to model full frame camera movements, and sinusoids model high frequency camera movements and vibrations in the x and y directions, as well as rotations. The model parameters that fit to the extracted feature points are robust to outliers using an m–estimator solution that is efficiently optimized by iteratively decreasing the m–estimator kernel width. The distortion model was found to be capable of accurately modeling rolling shutter distortions, especially those caused by high frequency camera vibrations. The m-estimator solution was found to accurately discount outlier features, and combined with the iteratively decreasing kernel width the global optimum solution is reliably and efficiently found. Automated code optimization decreased model parameter calculation time by 49x by factoring out common terms from matrix element computations.

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  • Copyright © 2014 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
Date Created
  • 2014


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