On Optical Flow Models for Variational Motion Estimation

1 Dec 2015Martin BurgerHendrik DirksLena Frerking

The aim of this paper is to discuss and evaluate total variation based regularization methods for motion estimation, with particular focus on optical flow models. In addition to standard $L^2$ and $L^1$ data fidelities we give an overview of different variants of total variation regularization obtained from combination with higher order models and a unified computational optimization approach based on primal-dual methods... (read more)

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