Relief Mosaic by Joint View Triangulation

Maxime Lhuillier 1 Long Quan 2 Harry Shum 3 Hung-Tat Tsui 4
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
2 CSE - Department of Computer Science and Engineering [HKUST]
3 Microsoft Research Asia
4 Department of Electronic Engineering [Hong Kong]
Abstract : Relief mosaics are collections of registered images that extend traditional mosaics by supporting motion parallax. A simple parallax interpolation algorithm based on computed correspondence information allows high quality blurfree and ghost-free mosaics to be created using images from moving hand-held cameras that would not be suitable for traditional mosaicing. The renderer can also display local parallax changes, giving a local but visually convincing illusion of depth. Moreover, relief mosaics can be used for approximate plenoptic modeling from hand-held cameras at lower spatial sampling rates than existing light-field methods. We present a fully automatic correspondence based construction system for relief mosaics, and show how they can be used in applications.
Type de document :
Communication dans un congrès
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR '01), Dec 2001, Kauai, United States. IEEE Computer Society, I, pp.785--790, 2001, 〈10.1109/CVPR.2001.990557〉
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/inria-00590149
Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:26:45
Dernière modification le : mardi 9 octobre 2018 - 09:44:15
Document(s) archivé(s) le : jeudi 4 août 2011 - 03:00:17

Fichier

Cvpr01.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

IMAG | INRIA | UGA

Citation

Maxime Lhuillier, Long Quan, Harry Shum, Hung-Tat Tsui. Relief Mosaic by Joint View Triangulation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR '01), Dec 2001, Kauai, United States. IEEE Computer Society, I, pp.785--790, 2001, 〈10.1109/CVPR.2001.990557〉. 〈inria-00590149〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

159

Téléchargements de fichiers

131

Contact


archive-ouverte@inria.fr