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Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform

Bigot, Jérémie and Gamboa, Fabrice and Vimond, Myriam Estimation of Translation, Rotation, and Scaling between Noisy Images Using the Fourier–Mellin Transform. (2009) SIAM Journal on Imaging Sciences, 2 (2). 614-645. ISSN 1936-4954

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Official URL: http://dx.doi.org/10.1137/070691231

Abstract

In this paper we focus on extended Euclidean registration of a set of noisy images. We provide an appropriate statistical model for this kind of registration problems, and a new criterion based on Fourier-type transforms is proposed to estimate the translation, rotation and scaling parameters to align a set of images. This criterion is a two step procedure which does not require the use of a reference template onto which aligning all the images. Our approach is based on M-estimation and we prove the consistency of the resulting estimators. A small scale simulation study and real examples are used to illustrate the numerical performances of our procedure.

Item Type:Article
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National des Sciences Appliquées de Toulouse - INSA (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Statistics:download
Deposited By: Jérémie Bigot
Deposited On:22 Mar 2013 10:23

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