Abstract
In this paper we present a variational optical flow algorithm for volumetric image sequences (3D + time). The algorithm uses descriptor correspondences that allow us to capture large motions. Further we describe a symmetry constraint that considers the forward and the backward flow of an image sequence to improve the accuracy of the flow field.
We have tested our algorithm on real and synthetic data. Our experiments include a quantitative evaluation that show the impact of the algorithm’s components. We compare a single core implementation to two parallel implementations, one on a multi-core CPU and one on the GPU.
Recommended for submission to YRF2011 by Prof. Dr. Thomas Brox.
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Ummenhofer, B. (2011). Large Displacement Optical Flow for Volumetric Image Sequences. In: Mester, R., Felsberg, M. (eds) Pattern Recognition. DAGM 2011. Lecture Notes in Computer Science, vol 6835. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23123-0_44
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DOI: https://doi.org/10.1007/978-3-642-23123-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23122-3
Online ISBN: 978-3-642-23123-0
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