Surface Flow from Visual Cues

Benjamin Petit 1, 2 Antoine Letouzey 2 Edmond Boyer 2
1 MOAIS - PrograMming and scheduling design fOr Applications in Interactive Simulation
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
2 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper we study the estimation of dense, instantaneous 3D motion fields over non-rigidly moving surface observed by multi-camera systems. The motivation arises from multi-camera applications that require motion information for arbitrary subjects, in order to perform tasks such as surface tracking or segmentation. To this aim, we present a novel framework that allows to efficiently compute dense 3D displacement fields using low level visual cues and geometric constraints. The main contribution is a unified framework that combines flow constraints for small displacements with temporal feature constraints for large displacements and fuses them over the surface using local rigidity constraints. The resulting linear optimization problem allows for variational solutions and fast implementations. Experiments conducted on synthetic and real data demonstrate the respective interests of flow and feature constraints as well as their efficiency to provide robust surface motion cues when combined.
Keywords : Surface flow 3D motion
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Benjamin Petit, Antoine Letouzey, Edmond Boyer. Surface Flow from Visual Cues. [Research Report] RR-7619, INRIA. 2011, pp.18. ⟨inria-00593206v2⟩

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