Abstract
In this paper, we introduce a new technique to estimate optical flow fields based on wavelet decomposition. In order to block error propagation between layers of multi-resolution image pyramid, we consider information of the all pyramid levels at once. We add a homogenous smoothness constraint to the system of optical flow constraints to obtain smooth motion fields. Since there are approximations on both sides of our over determined equation system, a total least square method is used as a minimization technique. The method was tested on several standard sequences in the field and megavoltage images taken by linear accelerator devices and showed promising results.
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Fashandi, H., Fazel-Rezai, R., Pistorius, S. (2007). Optical Flow and Total Least Squares Solution for Multi-scale Data in an Over-Determined System. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2007. Lecture Notes in Computer Science, vol 4842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76856-2_4
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DOI: https://doi.org/10.1007/978-3-540-76856-2_4
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