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Journal Articles Journal of Mathematical Imaging and Vision Year : 2011

Variational multi-valued velocity field estimation for transparent sequences

Abstract

Motion estimation in sequences with transparencies is an important problem in robotics and medical imaging applications. In this work we propose a variational approach for estimating multi-valued velocity fields in transparent sequences. Starting from existing local motion estimators, we derive a variational model for integrating in space and time such a local information in order to obtain a robust estimation of the multi-valued velocity field. With this approach, we can indeed estimate multi-valued velocity fields which are not necessarily piecewise constant on a layer--each layer can evolve according to a non-parametric optical flow. We show how our approach outperforms existing methods; and we illustrate its capabilities on challenging experiments on both synthetic and real sequences.

Dates and versions

hal-00845724 , version 1 (17-07-2013)

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Cite

Alonso Ramirez-Manzanares, Mariano Rivera, Pierre Kornprobst, François Lauze. Variational multi-valued velocity field estimation for transparent sequences. Journal of Mathematical Imaging and Vision, 2011, 40 (3), pp.285--304. ⟨10.1007/s10851-011-0260-8⟩. ⟨hal-00845724⟩
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