A Hybrid Framework for Surface Registration and Deformable Models - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 1997

A Hybrid Framework for Surface Registration and Deformable Models

Johan Montagnat
Hervé Delingette

Résumé

In computer vision, two complementary approaches have been widely used to perform object reconstruction and registration. The deformable model framework locally applies internal and external forces to fit 3D data. The non-rigid registration framework iteratively computes the best global transformation that minimizes the distance between a template and the data. In this paper, first we show that applying a global transformation on a surface model, is equivalent to applying an external force on a deformable model without any regularizing force. Second we propose a hybrid framework that combines the registration framework and the deformable models framework. Our hybrid deformation approach allows us to control the scale at which the model is deformed. This is clearly beneficial for performing both reconstruction and registration tasks. We show examples of this approach on active contours and deformable surfaces. Furthermore, a global transformation based on axial symmetry is introduced.
Fichier principal
Vignette du fichier
CVPR97.pdf (1.97 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00615782 , version 1 (19-08-2011)
inria-00615782 , version 2 (26-04-2012)

Identifiants

Citer

Johan Montagnat, Hervé Delingette. A Hybrid Framework for Surface Registration and Deformable Models. Computer Vision and Pattern Recognition (CVPR97), Jun 1997, San Juan, Puerto Rico. pp.1041-1046, ⟨10.1109/CVPR.1997.609458⟩. ⟨inria-00615782v2⟩

Collections

INRIA INRIA2
143 Consultations
108 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More