GUAN, Li; FRANCO, Jean-Sébastien; POLLEFEYS, Marc

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GUAN, Li
University of North Carolina [Chapel Hill] [UNC]
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] [ETH Zürich]

FRANCO, Jean-Sébastien
Visualization and manipulation of complex data on wireless mobile devices [IPARLA ]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

POLLEFEYS, Marc
University of North Carolina [Chapel Hill] [UNC]
Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] [ETH Zürich]

Langue

Communication dans un congrès

Ce document a été publié dans

International Symposium on 3D Data Processing, Visualization and Transmission, 2008-06-18, Atlanta. 2008

Résumé en anglais

In this paper, we reconstruct 3D objects with a heterogeneous sensor network of Range Imaging(RIM) sensors and high-res camcorders. With this setup, we first carry out simple but effective depth calibration for the RIM cameras. We then combine the camcorder silhouette cues and RIM camera depth information, for the reconstruction. Our main contribution is the proposal of a sensor fusion framework so that the computation is general, simple and scalable. Although we only discuss the camcorders and RIM cameras in this paper, the proposed framework can be applied to any type of vision sensors. It uses a space occupancy grid as a probabilistic 3D representation of scene contents. After defining sensing models for each type of sensors, the reconstruction is simply a Bayesian inference problem, and can be solved robustly. The experiments show that the recover full 3D closed shapes substantially improved the quality of the noisy RIM sensor measurement.< Réduire

URI

https://oskar-bordeaux.fr/handle/20.500.12278/198562

Project ANR

Data trAnsfert for Large Interactive Applications - ANR-06-MDCA-0003

Origine

Importé de hal

Unités de recherche

Laboratoire Bordelais de Recherche en Informatique (LaBRI) - UMR 5800