A Volumetric Reconstruction Method from Multiple Calibrated Views using Global Graph Cut Optimization

Sylvain Paris 1 François X. Sillion 1 Long Quan 1
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 : In this paper, a new formulation and solution to volumetric reconstruction from multiple calibrated images is presented. This problem has been previously formulated either as a continuous geometric optimization process driven by local numerical methods, or as a discrete labelling problem solved by global techniques for computing only stereo disparities. Our new formulation builds a bridge between these two approaches and takes advantage of both: a continuous geometric functional is minimized up to a discretization by a global graph cut algorithm. The relation between the continuous and discrete formulations is straightforwardly established. The minimization operates on a 3D embedded graph whose minimal cut is a solution of the discrete problem, leading to a global minimum. This new approach handling both occlusions and discontinuities has been demonstrated on real sequences, giving remarkably detailed surface geometry up to 1/10th pixel.
Type de document :
[Research Report] RR-4843, INRIA. 2003

Contributeur : Rapport de Recherche Inria <>
Soumis le : mardi 23 mai 2006 - 18:39:19
Dernière modification le : samedi 17 septembre 2016 - 01:38:22
Document(s) archivé(s) le : dimanche 4 avril 2010 - 22:35:55



  • HAL Id : inria-00071742, version 1



Sylvain Paris, François X. Sillion, Long Quan. A Volumetric Reconstruction Method from Multiple Calibrated Views using Global Graph Cut Optimization. [Research Report] RR-4843, INRIA. 2003. <inria-00071742>



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