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Modélisation tridimensionnelle à partir de silhouettes

Jean-Sébastien Franco 1
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
Abstract : This thesis focuses on the problem of tri-dimensional shape modeling from digital video streams. In particular we consider approaches which use silhouettes, acquired using calibrated cameras. Our goal is to provide fast modeling methods: the models produced can then be used for real-time interaction in virtual environments. Among the different primitives which can be used for 3D model acquisition, silhouettes have several advantages, as they simplify the handling of visibility, and can usually be processed rapidly. Approaches which use silhouettes are generally subject to limitations, such as a poor trade-off between model precision and processing time, and automatic silhouette extraction which can be corrupted by various types of noise. In response to these limitations, we propose two fast approaches for shape modeling from silhouettes. The first approach assumes that the input data, the silhouettes and calibration, are reliable, and produces an exact model with respect to this data. The second approach deals with noisy inputs and produces a probabilistic model of the observed shape's volume. We provide results for both approaches, using both synthetic and real input sets, acquired on the GrImage platform at the Inria Rhône-Alpes. In particular we propose a distributed real-time implementation of the first approach. The system is demonstrated and validated in the context of a virtual reality application.
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Submitted on : Tuesday, December 23, 2008 - 2:10:50 PM
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Jean-Sébastien Franco. Modélisation tridimensionnelle à partir de silhouettes. Interface homme-machine [cs.HC]. Institut National Polytechnique de Grenoble - INPG, 2005. Français. ⟨tel-00349090⟩

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