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Proceedings Paper

Three-dimensional reconstruction and texturation of museographic objects using multiple images and stereoscopic depth map fusion
Author(s): Julian Aubourg; Guillaume Moreau; Philippe Fuchs
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Paper Abstract

Lots of techniques exist to generate a 3D model given a limited set of photographs. Extracting depth information using stereoscopic correspondences generally outputs a large number of depth maps to be merged. Generating a dense representation of the object (shape-from-shading, level-set minimization) can be time-consuming. Shape-from-silhouettes and hybrid techniques, carving an approximate model given consistency constraints, suffer from a lack of scalability. In the context of the GANTOM project, we developed a system based on an automatic turntable, high-resolution digital cameras (up to 4Mpixels) and accurate encoders to acquire the data. This allows us to perform a very fine calibration of the acquisition process, i.e. less than 0.5mm. In this paper, we present the GANTOM software system that can be subdivided into the following elements: - Depth map extraction using stereoscopic correspondence. Different search spaces are compared. - Depth map fusion using a voxel-based algorithm, called shape-from-depth, which is a generalization of shape-from-silhouettes. - Conversion from a volumetric model to a polyhedral model. - Texture extraction using the polyhedral model and the photographs as inputs.

Paper Details

Date Published: 16 April 2004
PDF: 12 pages
Proc. SPIE 5302, Three-Dimensional Image Capture and Applications VI, (16 April 2004); doi: 10.1117/12.525687
Show Author Affiliations
Julian Aubourg, Ecole des Mines de Paris (France)
Guillaume Moreau, CNRS CERMA (France)
Philippe Fuchs, Ecole des Mines de Paris (France)

Published in SPIE Proceedings Vol. 5302:
Three-Dimensional Image Capture and Applications VI
Brian D. Corner; Peng Li; Roy P. Pargas, Editor(s)

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