A variational approach for multi-valued velocity field estimation in transparent sequences

  • Authors:
  • Alonso Ramírez-Manzanares;Mariano Rivera;Pierre Kornprobst;François Lauze

  • Affiliations:
  • Centro de Investigacion en Matematicas A.C., Guanajuato, Mexico;Centro de Investigacion en Matematicas A.C., Guanajuato, Mexico;INRIA, Odyssée Lab., Sophia Antipolis, France;Nordic Bioscience Imaging A/S, Herlev, Denmark

  • Venue:
  • SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

We propose a variational approach for multi-valued velocity field estimation in transparent sequences. Starting from existing local motion estimators, we show a variational model for integrating in space and time these local estimations to obtain a robust estimation of the multi-valued velocity field. With this approach, we can indeed estimate some multi-valued velocity fields which are not necessarily piecewise constant on a layer: Each layer can evolve according to non-parametric optical flow. We show how our approach outperforms some existing approaches, and we illustrate its capabilities on several challenging synthetic/ real sequences.