Surface Flow from Visual Cues

Petit, Benjamin; Letouzey, Antoine; Boyer, Edmond; Franco, Jean-Sébastien

Surface Flow from Visual Cues

Files

001-008.pdf (1.1 MB)

Date

2011

Authors

Petit, Benjamin
Letouzey, Antoine
Boyer, Edmond
Franco, Jean-Sébastien

Publisher

The Eurographics Association

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.

        @inproceedings{:10.2312/PE/VMV/VMV11/001-008
,
booktitle = {Vision, Modeling, and Visualization (2011)
},
editor = {Peter Eisert and Joachim Hornegger and Konrad Polthier
},
title = {{Surface Flow from Visual Cues
}},
author = {Petit, Benjamin and 
Letouzey, Antoine and 
Boyer, Edmond and 
Franco, Jean-Sébastien
},
year = {2011
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905673-85-2
},
DOI = {/10.2312/PE/VMV/VMV11/001-008
}
}