Computing optical flow across multiple scales: an adaptive coarse-to-fine strategy
International Journal of Computer Vision
Robust computation of optical flow in a multi-scale differential framework
International Journal of Computer Vision
Computational anatomy: an emerging discipline
Quarterly of Applied Mathematics - Special issue on current and future challenges in the applications of mathematics
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Variational Optic Flow Computation with a Spatio-Temporal Smoothness Constraint
Journal of Mathematical Imaging and Vision
Adaptive Grid Refinement Procedures for Efficient Optical Flow Computation
International Journal of Computer Vision
Highly Accurate Optic Flow Computation with Theoretically Justified Warping
International Journal of Computer Vision
Coarse to over-fine optical flow estimation
Pattern Recognition
Over-Parameterized Variational Optical Flow
International Journal of Computer Vision
An Unbiased Second-Order Prior for High-Accuracy Motion Estimation
Proceedings of the 30th DAGM symposium on Pattern Recognition
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We develop a method for the optical flow computation from a zooming image sequence. The synchronisation of image resolution for a pair of successive images in an image sequence is a fundamental requirement for optical flow computation. In a real application, we are, however, required to deal with a zooming and dezooming image sequences, that is, we are required to compute optical flow from a multiresolution image sequence whose resolution dynamically increases and decreases. As an extension of the multiresolution optical flow computation which computes the optical flow vectors using coarse-to-fine propagation of the computation results across the layers, we develop an algorithm for the computation of optical flow from a zooming image sequence.