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ICASSP
2008
IEEE

Optical flow robust estimation in a hybrid multi-resolution MRF framework

14 years 5 months ago
Optical flow robust estimation in a hybrid multi-resolution MRF framework
We propose in this paper a robust multi-resolution technique to estimate dense velocity field from image sequences. It couples a Gaussian pyramidal down-sampling decomposition together with a multi-grid approach. At each pyramid level, bilinear interpolation and efficient warping techniques are performed to generate a residual images. The displacement field is computed in a Markov Random Field (MRF) framework. We compare two different methods to minimize the Gibbs energy: a modified Iterative Conditional Mode (ICM) and a Graph-Cut algorithm extended to multi-grid scheme. We validate and demonstrate the robustness of our approach on synthetic and real images for fluid experiment applications.
Cyril Cassisa, Véronique Prinet, Liang Shao
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICASSP
Authors Cyril Cassisa, Véronique Prinet, Liang Shao, Serge Simoens, Cheng-Lin Liu
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