Modular linear iconic matching using higher order graphs

Abstract : We introduce a novel approach to tackle iconic linear mapping between two images. We adopt a grid-based parametriza-tion of the deformation field that is encoded by a higher order graphical model. In the proposed formulation, latent variables correspond to local grid displacement vectors and unary potentials locally quantify the level of alignment between the two images. Higher order constraints that involve third and forth order potentials, enforce the linearity of the resulting transformation. The resulting formulation is modular with respect to the image metric used to evaluate the correctness of mapping as well as with respect to the nature of the linear transformation (rigid, similarity, or affine). Inference on this graph is performed through dual decomposition. Comparison with classic algorithms demonstrates the potential of our approach.
Type de document :
Communication dans un congrès
ISBI 2015 - IEEE 12th International Symposium on Biomedical Imaging, Apr 2015, New York, United States. pp.1097 - 1101, 2015, 〈10.1109/ISBI.2015.7164063〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01223970
Contributeur : Vivien Fécamp <>
Soumis le : mardi 3 novembre 2015 - 17:23:31
Dernière modification le : lundi 1 octobre 2018 - 17:00:03
Document(s) archivé(s) le : jeudi 4 février 2016 - 11:31:14

Fichier

ISBI_sent.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Vivien Fecamp, Aristeidis Sotiras, Nikos Paragios. Modular linear iconic matching using higher order graphs. ISBI 2015 - IEEE 12th International Symposium on Biomedical Imaging, Apr 2015, New York, United States. pp.1097 - 1101, 2015, 〈10.1109/ISBI.2015.7164063〉. 〈hal-01223970〉

Partager

Métriques

Consultations de la notice

283

Téléchargements de fichiers

128