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Semi-local variational optical flow estimation

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2 Author(s)
Denis Fortun ; Inria Rennes - Bretagne Atlantique, 35 042 Cedex, France ; Charles Kervrann

Global variational methods for optical flow estimation usually suffer from an over-smoothing effect. We propose a semi-local estimation framework designed to integrate and improve any variational method. The idea is to implicitly segment the minimization domain into coherently moving windows. In a first time, local variational estimations are performed in overlapping candidate square regions. Then, a global discrete optimization, non subject to the over-smoothing introduced by variational approaches, selects the optimal window for each pixel. Experimental results show an increasing of the sharpness of discontinuities and a significant improvement of global registration errors compared to the results of the baseline global variational method.

Published in:

2012 19th IEEE International Conference on Image Processing

Date of Conference:

Sept. 30 2012-Oct. 3 2012