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On 2D constrained discrete rigid transformations

Identifieur interne : 000697 ( Main/Exploration ); précédent : 000696; suivant : 000698

On 2D constrained discrete rigid transformations

Auteurs : Phuc Ngo [France] ; Yukiko Kenmochi [France] ; Nicolas Passat [France] ; Hugues Talbot [France]

Source :

RBID : Hal:hal-00838184

English descriptors

Abstract

Rigid transformations are involved in a wide range of digital image processing applications. In such a context, they are generally considered as continuous processes, followed by a digitization of the results. Recently, rigid transformations on Z 2 have been alternatively formulated as a fully discrete process. Following this paradigm, we investigate – from a combinatorial point of view – the effects of pixel-invariance constraints on such transformations. In particular we describe the impact of these constraints on both the combi-natorial structure of the transformation space and the algorithm leading to its generation.

Url:
DOI: 10.1007/s10472-014-9406-x


Affiliations:


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<addrLine>9 boulevard Paix - 51097 Reims cedex</addrLine>
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<country>France</country>
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<settlement type="city">Reims</settlement>
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<author>
<name sortKey="Talbot, Hugues" sort="Talbot, Hugues" uniqKey="Talbot H" first="Hugues" last="Talbot">Hugues Talbot</name>
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<orgName>Laboratoire d'Informatique Gaspard-Monge</orgName>
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<addrLine>Université de Paris-Est - Marne-la-Vallée, Cité Descartes, Bâtiment Copernic, 5 bd Descartes, 77454 Marne-la-Vallée Cedex 2, Inst Gaspard Monge</addrLine>
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<orgName>Centre National de la Recherche Scientifique</orgName>
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<date type="start">1939-10-19</date>
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<country>France</country>
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<idno type="DOI">10.1007/s10472-014-9406-x</idno>
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<title level="j">Annals of Mathematics and Artificial Intelligence</title>
<idno type="ISSN">1012-2443</idno>
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<date type="datePub">2015</date>
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<term>Rigid transformation</term>
<term>combinatorial structure</term>
<term>discrete geometry</term>
<term>image processing</term>
<term>pixel-invariance constraints</term>
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<front>
<div type="abstract" xml:lang="en">Rigid transformations are involved in a wide range of digital image processing applications. In such a context, they are generally considered as continuous processes, followed by a digitization of the results. Recently, rigid transformations on Z 2 have been alternatively formulated as a fully discrete process. Following this paradigm, we investigate – from a combinatorial point of view – the effects of pixel-invariance constraints on such transformations. In particular we describe the impact of these constraints on both the combi-natorial structure of the transformation space and the algorithm leading to its generation.</div>
</front>
</TEI>
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<list>
<country>
<li>France</li>
</country>
<region>
<li>Champagne-Ardenne</li>
<li>Grand Est</li>
<li>Lorraine (région)</li>
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<settlement>
<li>Metz</li>
<li>Nancy</li>
<li>Reims</li>
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<li>Université de Lorraine</li>
<li>Université de Reims Champagne-Ardenne</li>
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<name sortKey="Kenmochi, Yukiko" sort="Kenmochi, Yukiko" uniqKey="Kenmochi Y" first="Yukiko" last="Kenmochi">Yukiko Kenmochi</name>
<name sortKey="Passat, Nicolas" sort="Passat, Nicolas" uniqKey="Passat N" first="Nicolas" last="Passat">Nicolas Passat</name>
<name sortKey="Talbot, Hugues" sort="Talbot, Hugues" uniqKey="Talbot H" first="Hugues" last="Talbot">Hugues Talbot</name>
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