A Semi-Automatic Method for Resolving Occlusion in Augmented Reality

Vincent Lepetit 1 Marie-Odile Berger 1
1 ISA - Models, algorithms and geometry for computer graphics and vision
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Realistic merging of virtual and real objects requires that the augmented patterns be correctly occluded by foreground objects. In this paper, we propose a semi-automatic method for resolving occlusion in augmented reality which makes use of key-views. Once the user has outline d the occluding objects in the key-views, our system detects automatically these occluding objects in the intermediate views. A region of interest that contains the occluding objects is first computed from the outlined silhouettes. One of the main contribution of this paper is that this region takes into account the uncertainty on the computed interframe motion. Then a deformable region-based approach is used to rec over the actual occluding boundary within the region of interest from this prediction.
Mots-clés : réalité augmentée occlusion augmented reality occultation
Type de document :
Communication dans un congrès
IEEE Conference on Computer Vision & Pattern Recognition 2000 - CVPR'2000, Jun 2000, Hilton Head Island, South Carolina, USA, IEEE, 2, pp.225 - 230, 2000, Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on. 〈10.1109/CVPR.2000.854794〉
Liste complète des métadonnées
https://hal.inria.fr/inria-00147382
Contributeur : Publications Loria <>
Soumis le : mercredi 16 mai 2007 - 17:11:59
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

Lien texte intégral

openaccess

Identifiants

Collections

INRIA | LORIA | UNIV-LORRAINE

Citation

Vincent Lepetit, Marie-Odile Berger. A Semi-Automatic Method for Resolving Occlusion in Augmented Reality. IEEE Conference on Computer Vision & Pattern Recognition 2000 - CVPR'2000, Jun 2000, Hilton Head Island, South Carolina, USA, IEEE, 2, pp.225 - 230, 2000, Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on. 〈10.1109/CVPR.2000.854794〉. 〈inria-00147382〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

67

Contact


archive-ouverte@inria.fr