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Reconstruction géométrique par estimation de posture

Mathieu Barnachon 1, 2 Brice Michoud 1 Erwan Guillou 1 Saïda Bouakaz 1
1 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
Abstract : Geometrical reconstruction from multiple cameras can now concurrence classical reconstruction. Shape From Silhouette (SFS) is a method that estimates the Visual Hull, in real time from observed silhouette in each view. Despite the fact that SFS is really simple and robust, it produces ghost parts: a set of 3D points that does not belong to real objects. These parts can significantly disturb the precision and the realism of the 3D shape. In this paper, we suggest to use the motion estimation of people, getting from motion capture, in order to remove these ghost parts and refine geometry. By construction, SFS gives a 3D hull of the filmed person. If we transform the computed geometry from original pose to the current pose, the intersection of reconstruction and observed pose produces a more precise reconstruction than the classical SFS. In this work, we introduce a real time and incremental approach, which automatically refines the 3D reconstruction of the acquired object.
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https://hal.inria.fr/inria-00404648
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Submitted on : Thursday, July 16, 2009 - 4:23:48 PM
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  • HAL Id : inria-00404648, version 1

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Mathieu Barnachon, Brice Michoud, Erwan Guillou, Saïda Bouakaz. Reconstruction géométrique par estimation de posture. ORASIS'09 - Congrès des jeunes chercheurs en vision par ordinateur, 2009, Trégastel, France, France. ⟨inria-00404648⟩

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