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Asymetric Gradient-based image alignement

Abstract : A new method for templet-based image alignement is presented in this paper. A gradient-based optimization of motion compensated error difference is addressed to solve the image alignement problem. Its novelty lies in the minimized error, which consider the bi-directional compensation of the reference template and the current image onto each other in a constrained asymmetrical fashion. The proposed approach is shown to be a generalization of previous state-of-the art gradient-based methods. An experimental evaluation is provided to show how the new method outperforms the former in presence of noisy images, and to give some insights into its properties.
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Contributor : Yannick Berthoumieu Connect in order to contact the contributor
Submitted on : Saturday, June 27, 2009 - 8:56:20 AM
Last modification on : Wednesday, January 31, 2018 - 1:46:02 PM



Jean-Baptiste Authesserre, Rémi Mégret, Yannick Berthoumieu. Asymetric Gradient-based image alignement. ICASSP IEEE, Apr 2009, Taipei, Taiwan. pp.981-984, ⟨10.1109/ICASSP.2009.4959750⟩. ⟨hal-00399614⟩



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