RIDEL, Brett; MIGNARD-DEBISE, Lois; GRANIER, Xavier; REUTER, Patrick

doi:10.1109/ISMAR-Adjunct.2016.0041

Métadonnées

Licence d’utilisation du document

RIDEL, Brett
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Melting the frontiers between Light, Shape and Matter [MANAO]

MIGNARD-DEBISE, Lois
Melting the frontiers between Light, Shape and Matter [MANAO]
Laboratoire Photonique, Numérique et Nanosciences [LP2N]

GRANIER, Xavier
Melting the frontiers between Light, Shape and Matter [MANAO]
Laboratoire Photonique, Numérique et Nanosciences [LP2N]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

Langue

Communication dans un congrès avec actes

Ce document a été publié dans

IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct), 2016-09-19, Merida. 2016-09p. 64-69

IEEE Computer Society

Résumé en anglais

Common spatial augmented reality techniques use video projection to superimpose virtual information over a physical scene. As the augmentation happens directly in the real world, multiple users can see the augmented scene, however, the augmentation is the same for all users. We introduce EgoSAR, a new approach that makes it possible to have a personalized, view-dependent augmentation, in multiuser environments. Our key idea is to use retroreflective material for the personalized experience, in conjunction with spatial augmented reality, by combining two different light paths. We implemented our approach in two prototypes combining transparency and either direct or indirect retroreflection. We present two different usage scenarios, show results, and experiment applications that such an approach may provide.< Réduire

Mots clés en anglais

Semi-transparent display

Spatial Augmented Reality

Retroreflective display

URI

https://oskar-bordeaux.fr/handle/20.500.12278/181938

DOI

http://dx.doi.org/10.1109/ISMAR-Adjunct.2016.0041

Project ANR

Interaction en Réalité Augmentée Spatiale - ANR-14-CE24-0013

Origine

Importé de hal

Unités de recherche

Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298