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Comparison between GN-DPMs and AAMs. Both algorithms were initialized using the ground truth landmark locations (left) and the ground truth after a relatively large perturbation of the first shape parameter (right). The average (normalized) pt-pt Euclidean error versus fraction of images is plotted. Clearly GN-DPMs are easier to optimize
