SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
Optimization strategies for high-performance computing of optical-flow in general-purpose processors
IEEE Transactions on Circuits and Systems for Video Technology
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Robust estimation of the optical flow is addressed through a multiresolution energy minimization. It involves repeated evaluation of spatial and temporal gradients of image intensity which rely usually on bilinear interpolation and image filtering. We propose to base both computations on a single pyramidal cubic B-spline model of image intensity. We show empirically improvements in convergence speed and estimation error and validate the resulting algorithm on real test sequences