Combinatorial structure of rigid transformations in 2D digital images
Identifieur interne : 001725 ( Main/Exploration ); précédent : 001724; suivant : 001726Combinatorial structure of rigid transformations in 2D digital images
Auteurs : Phuc Ngo [France] ; Yukiko Kenmochi [France] ; Nicolas Passat [France] ; Hugues Talbot [France]Source :
- Computer vision and image understanding : (Print) [ 1077-3142 ] ; 2013.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Numérisation.
English descriptors
- KwdEn :
Abstract
Rigid transformations are involved in a wide range of digital image processing applications. When applied on discrete images, rigid transformations are usually performed in their associated continuous space, requiring a subsequent digitization of the result. In this article, we propose to study rigid transformations of digital images as fully discrete processes. In particular, we investigate a combinatorial structure modelling the whole space of digital rigid transformations on arbitrary subset of 2 of size N x N. We describe this combinatorial structure, which presents a space complexity O(N9) and we propose an algorithm enabling to construct it in linear time with respect to its space complexity. This algorithm, which handles real (i.e., non-rational) values related to the continuous transformations associated to the discrete ones, is however defined in a fully discrete form, leading to exact computation.
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
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<front><div type="abstract" xml:lang="en">Rigid transformations are involved in a wide range of digital image processing applications. When applied on discrete images, rigid transformations are usually performed in their associated continuous space, requiring a subsequent digitization of the result. In this article, we propose to study rigid transformations of digital images as fully discrete processes. In particular, we investigate a combinatorial structure modelling the whole space of digital rigid transformations on arbitrary subset of <sup>2</sup>
of size N x N. We describe this combinatorial structure, which presents a space complexity O(N<sup>9</sup>
) and we propose an algorithm enabling to construct it in linear time with respect to its space complexity. This algorithm, which handles real (i.e., non-rational) values related to the continuous transformations associated to the discrete ones, is however defined in a fully discrete form, leading to exact computation.</div>
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