Surface Flow from Visual Cues

Benjamin Petit 1 Antoine Letouzey 1 Edmond Boyer 1 Jean-Sébastien Franco 1
1 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 a 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 roles of flow and feature constraints as well as their ability to provide robust surface motion cues when combined.
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Conference papers
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Contributor : Antoine Letouzey <>
Submitted on : Thursday, March 8, 2012 - 3:43:19 PM
Last modification on : Wednesday, April 11, 2018 - 1:58:32 AM
Long-term archiving on : Friday, November 23, 2012 - 4:15:09 PM

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Benjamin Petit, Antoine Letouzey, Edmond Boyer, Jean-Sébastien Franco. Surface Flow from Visual Cues. VMV 2011 - Vision, Modeling and Visualization Workshop, Oct 2011, Berlin, Germany. pp.1-8, ⟨10.2312/PE/VMV/VMV11/001-008⟩. ⟨inria-00631476⟩

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