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Geometric PCA of Images

Bigot, Jérémie and Gouet, Raúl and López, Alfredo Geometric PCA of Images. (2013) SIAM Journal on Imaging Sciences, 6 (4). 1851-1879. ISSN 1936-4954

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Official URL: http://dx.doi.org/10.1137/120864556

Abstract

We describe a method for analyzing the principal modes of geometric variability of images. For this purpose, we propose a general framework based on the use of deformation operators for modeling the geometric variability of images around a reference mean pattern. In this setting, we describe a simple algorithm for estimating the geometric variability of a set of images. Some numerical experiments on real data are proposed for highlighting the benefits of this approach. The consistency of this procedure is also analyzed in statistical deformable models.

Item Type:Article
Additional Information:Thanks to Society for Industrial and Applied Mathematics editor. The definitive version is available at http://epubs.siam.org/doi/abs/10.1137/120864556
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)
Other partners > France Telecom (FRANCE)
Other partners > Universidad de Chile - UCHILE (CHILE)
Laboratory name:
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Deposited By: Jérémie Bigot
Deposited On:12 Mar 2014 11:17

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