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Energy minimization is an elegant approach to computer vision. Vision problems usually have many solutions due to uncertainties in the imaging process and ambiguities in visual interpretation. The energy function encodes the problem constraints, and its minimum gives the optimal solution. Despite numerous advantages, this approach is severely limited by the high computational cost.