Divergence-Free Motion Estimation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Divergence-Free Motion Estimation

Abstract

This paper describes an innovative approach to estimate motion from image observations of divergence-free flows. Unlike most state-of-the-art methods, which only minimize the divergence of the motion field, our approach utilizes the vorticity-velocity formalism in order to construct a motion field in the subspace of divergence free functions. A 4DVAR-like image assimilation method is used to generate an estimate of the vorticity field given image observations. Given that vorticity estimate, the motion is obtained solving the Poisson equation. Results are illustrated on synthetic image observations and compared to those obtained with state-of-the-art methods, in order to quantify the improvements brought by the presented approach. The method is then applied to ocean satellite data to demonstrate its performance on the real images.
Fichier principal
Vignette du fichier
Herlin-all-ECCV-2012.pdf (534.24 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00742021 , version 1 (15-11-2013)

Identifiers

Cite

Isabelle Herlin, Dominique Béréziat, Nicolas Mercier, Sergiy Zhuk. Divergence-Free Motion Estimation. ECCV 2012 - European Conference on Computer Vision, Oct 2012, Florence, Italy. pp.15-27, ⟨10.1007/978-3-642-33765-9_2⟩. ⟨hal-00742021⟩
423 View
778 Download

Altmetric

Share

Gmail Facebook X LinkedIn More