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Multi-Valued Motion Fields Estimation for Transparent Sequences with a Variational Approach

Alonso Ramirez-Manzanares 1 Mariano Rivera 1 Pierre Kornprobst 2 François Lauze 3
2 ODYSSEE - Computer and biological vision
DI-ENS - Département d'informatique - ENS Paris, CRISAM - Inria Sophia Antipolis - Méditerranée , ENS-PSL - École normale supérieure - Paris, Inria Paris-Rocquencourt, ENPC - École des Ponts ParisTech
Abstract : Most optical flow algorithms provide flow fields as single valued functions of the image sequence domains. Only a very few of them attempt to recover multiple motion vectors at given location, which is necessary when some transparent layers are moving independently. In this report we introduce a novel framework for modeling multivalued motion fields, and propose an energy minimization formulation with smoothing terms and terms implementing velocity model competition. We illustrate the capabilities of this approach on synthetic and real sequences.
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Submitted on : Tuesday, June 6, 2006 - 10:12:53 AM
Last modification on : Thursday, March 17, 2022 - 10:08:32 AM
Long-term archiving on: : Monday, September 20, 2010 - 2:35:53 PM


  • HAL Id : inria-00077285, version 2



Alonso Ramirez-Manzanares, Mariano Rivera, Pierre Kornprobst, François Lauze. Multi-Valued Motion Fields Estimation for Transparent Sequences with a Variational Approach. [Research Report] RR-5920, INRIA. 2006, pp.25. ⟨inria-00077285v2⟩



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