Gradient-based optical flow estimation methods such as LucasKanade method work well for scenes with small displacements but fail when objects move with large displacements. Hierar...
In this paper we present a new method to estimate optical flow for large displacements. It is based on prediction of global flow field parameters, performs better than multiresolu...
We show that the set of all ow- elds in a sequence of frames imaging a rigid scene resides in a lowdimensional linear subspace. Based on this observation, we develop a method for ...
An algorithm for optical ow estimation is presented for the case of discrete-time motion of an uncalibrated camera through a rigid world. Unlike traditional optical ow approaches t...
Jeffrey Mendelsohn, Eero P. Simoncelli, Ruzena Baj...
Variational methods are among the most accurate techniques for estimating the optic flow. They yield dense flow fields and can be designed such that they preserve discontinuities, ...