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Efficient Neighbourhood Computing for Discrete Rigid Transformation Graph Search

Identifieur interne : 000956 ( Main/Exploration ); précédent : 000955; suivant : 000957

Efficient Neighbourhood Computing for Discrete Rigid Transformation Graph Search

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

Source :

RBID : Hal:hal-01067537

Abstract

Rigid transformations are involved in a wide variety of image processing applications, including image registration. In this context, we recently proposed to deal with the associated optimization problem from a purely discrete point of view, using the notion of discrete rigid transformation (DRT) graph. In particular, a local search scheme within the DRT graph to compute a locally optimal solution without any numerical approximation was formerly proposed. In this article, we extend this study, with the purpose to reduce the algorithmic complexity of the proposed optimization scheme. To this end, we propose a novel algorithmic framework for just-in-time computation of sub-graphs of interest within the DRT graph. Experimental results illustrate the potential usefulness of our approach for image registration.

Url:
DOI: 10.1007/978-3-319-09955-2_9


Affiliations:


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<country>France</country>
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<author>
<name sortKey="Passat, Nicolas" sort="Passat, Nicolas" uniqKey="Passat N" first="Nicolas" last="Passat">Nicolas Passat</name>
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<orgName>Institut Universitaire de Technologie CRESTIC - EA 3804 - Université de Reims-Champagne-Ardenne</orgName>
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<addrLine>9 rue de Québec 10000 TROYES</addrLine>
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<ref type="url">http://www.iut-troyes.univ-reims.fr/pole-recherche/crestic-images.html#pole-recherche</ref>
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<orgName>Université de Reims Champagne-Ardenne</orgName>
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<addrLine>9 boulevard Paix - 51097 Reims cedex</addrLine>
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<div type="abstract" xml:lang="en">Rigid transformations are involved in a wide variety of image processing applications, including image registration. In this context, we recently proposed to deal with the associated optimization problem from a purely discrete point of view, using the notion of discrete rigid transformation (DRT) graph. In particular, a local search scheme within the DRT graph to compute a locally optimal solution without any numerical approximation was formerly proposed. In this article, we extend this study, with the purpose to reduce the algorithmic complexity of the proposed optimization scheme. To this end, we propose a novel algorithmic framework for just-in-time computation of sub-graphs of interest within the DRT graph. Experimental results illustrate the potential usefulness of our approach for image registration.</div>
</front>
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<affiliations>
<list>
<country>
<li>France</li>
</country>
<region>
<li>Champagne-Ardenne</li>
<li>Grand Est</li>
<li>Lorraine (région)</li>
</region>
<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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<noRegion>
<name sortKey="Kenmochi, Yukiko" sort="Kenmochi, Yukiko" uniqKey="Kenmochi Y" first="Yukiko" last="Kenmochi">Yukiko Kenmochi</name>
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<name sortKey="Ngo, Phuc" sort="Ngo, Phuc" uniqKey="Ngo P" first="Phuc" last="Ngo">Phuc Ngo</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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