Variational methods are among the most successful approaches for computing
high-quality optical ow. However, there are still many ways to improve. In this
thesis we fist provide a general overview of the main ideas of existing
approaches by the example of the complementary optical ow method of Zimmer et
al. . This serves us as a starting point for introducing the concept of
automatic local selection of the most suitable constancy assumption on image
features, which allows to further improve the quality of optical ow estimation.
As a main contribution, we provide the variational formulation, that directly
leads to the proposed behavior. The derived model is then analysed and
evaluated in the series of experiments.