Banegas Frédéric, Michelucci Dominique, Roelens Marc, Jaeger Marc.
1999. An automatic adaptive surface reconstruction from ellipsoidal skeleton.
In : Implicit surfaces'99. Fourth International Workshop on Implicit Surfaces, ENSERB, Université de Bordeaux 1, Talence, 13-15 septembre 1999, J. Hughes, C. Schlick (eds)
Autre titre : Reconstruction automatique et adaptative de surface à partir d'un squelette ellipsoïdal
Résumé : 3D reconstruction is a large area of investigation. The accuracy of the 3D geometry may be dynamically adjusted to constantly provide instantaneous interaction with virtual organs for a given error tolerance. In trying to fulfill those requirements, the authors propose an anlytical approach using the implicit surfaces model. A hierarchical mathematical expression of a 3D solid represented by 3D points including the inner ones is automatically built by progressively positioning implicit primitives within the point cloud (usually acquired from CT-scan or MRI images). Each new primitive addition results in a more precise geometrical approximation of the 3D object, thus generating what is called a semantic level. At last, to reliably conduct the surface-fitting process, the authors propose the tabu metaheuristic that will take any semantic level as initial solution while using an inexpensive surface-to-boundary error measurement. Once those data have been permanently stored, the rendering stage is then performed on the fly using adaptive discretization step, thus producing multiple levels of detail. In this scope, a generic algorithm to guide the polygonization of implicit objects with multiple connected components is also proposed. The analytical model that has been developed is called ellipsoidal skeleton (e-skeleton). Each set of automatically adjusted implicit primitives is converted to a classical Constructive Solid Geometry tree that seamlessly integrates the deformation function and parameters obtained during the surface-fitting process
Mots-clés Agrovoc : imagerie, modèle mathématique, méthode statistique, sciences médicales, os
Classification Agris : U10 - Informatique, mathématiques et statistiques
Auteurs et affiliations
- Banegas Frédéric, CIRAD-AMIS-AMAP (FRA)
- Michelucci Dominique, Ecole nationale supérieure des mines de Saint-Etienne (FRA)
- Roelens Marc, Ecole nationale supérieure des mines de Saint-Etienne (FRA)
- Jaeger Marc, CIRAD-AMIS-AMAP (FRA)
Autres liens de la publication
Source : Cirad - Agritrop (https://agritrop.cirad.fr/263844/)
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