On the study of VLSI derivation for optical flow estimation

In this paper we propose studying several ways to implement a realistic and efficient VLSI design for a gradient-based dense motion estimator. The kin d of estimator we focus on belongs to the class of differential methods. It is classically based on the optical how constraint equation in association with a smoothness regularization term and also incorporates robust cost fu nctions to alleviate the influence of large residuals. This estimator is ex pressed as the minimization of a global energy function defined within the framework of an incremental formulation associated with a multiresolution s etup. In order to make possible the conception of efficient hardware, we co nsider a modified minimization strategy. This new minimization strategy is not only well suited to VLSI derivation, it is also very efficient in terms of quality of the result. The complete VLSI derivation is realized using h igh-level specifications.