TransforMesh: a topology-adaptive mesh-based approach to surface evolution

Andrei Zaharescu 1 Edmond Boyer 1 Radu Horaud 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : Most of the algorithms dealing with image based 3-D reconstruction involve the evolution of a surface based on a minimization criterion. The mesh parametrization, while allowing for an accurate surface representation, suffers from the inherent problems of not being able to reliably deal with self-intersections and topology changes. As a consequence, an important number of methods choose implicit representations of surfaces, e.g. level set methods, that naturally handle topology changes and intersections. Nevertheless, these methods rely on space discretizations, which introduce an unwanted precision-complexity trade-off. In this paper we explore a new mesh-based solution that robustly handles topology changes and removes self intersections, therefore overcoming the traditional limitations of this type of approaches. To demonstrate its efficiency, we present results on 3-D surface reconstruction from multiple images and compare them with state-of-the art results.
Type de document :
Communication dans un congrès
Yasushi Yagi and Sing Bing Kang and In So Kweon and Hongbin Zha. ACCV 2007 - 8th Asian Conference on Computer Vision, Nov 2007, Tokyo, Japan. Springer-Verlag, 4844, pp.166-175, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-76390-1_17〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger


https://hal.inria.fr/inria-00590245
Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:49:36
Dernière modification le : jeudi 11 janvier 2018 - 01:48:44
Document(s) archivé(s) le : vendredi 9 novembre 2012 - 10:22:05

Identifiants

Collections

Citation

Andrei Zaharescu, Edmond Boyer, Radu Horaud. TransforMesh: a topology-adaptive mesh-based approach to surface evolution. Yasushi Yagi and Sing Bing Kang and In So Kweon and Hongbin Zha. ACCV 2007 - 8th Asian Conference on Computer Vision, Nov 2007, Tokyo, Japan. Springer-Verlag, 4844, pp.166-175, 2007, Lecture Notes in Computer Science. 〈10.1007/978-3-540-76390-1_17〉. 〈inria-00590245〉

Partager

Métriques

Consultations de la notice

305

Téléchargements de fichiers

556