Shape from Silhouette: Image Pixels for Marching Cubes

Abstract : In this paper, we propose to use image pixels for geometry reconstruction with a shape from silhouette approach. We aim at estimating shape and normal for the surface of a single object seen through calibrated images. From the voxel-based shape obtained with the algorithm proposed by R. Szeliski in [18], our main contribution concerns the use of image pixels together with marching cubes for constructing a triangular mesh. We also provide a mean for estimating a normal inside each voxel with two different methods: (i) using marching cubes triangles and (ii) using only voxels. As seen in the results, our method proves accurate even for real objects acquired with a usual camera and an inexpensive acquisition system.
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Article dans une revue
Journal of WSCG, University of West Bohemia, Czech Republic, 2004, 13, pp.112-118
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Contributeur : Daniel Meneveaux <>
Soumis le : mercredi 22 octobre 2008 - 14:55:12
Dernière modification le : mardi 22 mai 2012 - 17:33:24

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  • HAL Id : hal-00333113, version 1

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Bruno Mercier, Daniel Meneveaux. Shape from Silhouette: Image Pixels for Marching Cubes. Journal of WSCG, University of West Bohemia, Czech Republic, 2004, 13, pp.112-118. <hal-00333113>

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