A Surface Reconstruction Method Using Global Graph Cut Optimization

Sylvain Paris 1 François X. Sillion 1 Long Quan
1 ARTIS - Acquisition, representation and transformations for image synthesis
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : The surface reconstruction from multiple calibrated images has been mainly approached using local methods, either as a continuous optimization driven by level sets, or as a discrete volumetric method of space carving. We here propose a direct surface reconstruction approach. It starts from a continuous geometric functional that is then minimized up to a discretization by a global graph-cut algorithm operating on a 3D embedded graph. The method is related to the stereo disparity computation based on graph-cut formulation, but fundamentally different in two aspects. First, the existing stereo disparity methods are only interested in obtaining layers of constant disparity, while we focus on a surface geometry of high resolution. Second, only approximate solutions are reached by most of the existing graph-cut algorithms, while we reach a global minimum. The whole procedure is consistently incorporated into a voxel representation that handles both occlusions and discontinuities. It is demonstrated on real sequences, yielding remarkably detailed surface geometry up to $1/10$th pixel.
keyword : surface optimization
Type de document :
Communication dans un congrès
Asian Conference of Computer Vision, 2004, Jeju Island, South Korea. 2004



https://hal.inria.fr/inria-00510160
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Soumis le : mercredi 13 octobre 2010 - 15:41:11
Dernière modification le : jeudi 14 octobre 2010 - 08:56:59
Document(s) archivé(s) le : vendredi 14 janvier 2011 - 02:33:15

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Sylvain Paris, François X. Sillion, Long Quan. A Surface Reconstruction Method Using Global Graph Cut Optimization. Asian Conference of Computer Vision, 2004, Jeju Island, South Korea. 2004. <inria-00510160>

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