Mathematical methods are an alternative to tackle visual perception. The central idea behind these methods is to reformulate the visual perception components as optimization problems where the minima of a specifically designed objective function "solve" the task under consideration. The definition of such functions is often an ill-posed problem since the number of variables to be recovered is much larger than the number of constraints. Furthermore, often the optimization process itself is ill-posed due the non-convexity of the designed function inducing the presence of local minima

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