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Abstract: A 3D face recognition algorithm based on facial curves elastic matching is#br# presented in this paper. Facial surfaces are approximated with indexed sets of level curves. Firstly,#br# the radial curves emanating from the nose tip are extracted after 3D faces are preprocessed.#br# Secondly, the curves of the probe face match the curves of gallery face using the improved#br# hierarchical matching method and the two curves are matched exploiting the distance between the#br# point and nose tip. Finally, the similarities of different curves are weighted fused according to the#br# different degree influenced by expression as sum similarity which is used for matching.#br# Experiment results verify that the proposed method can obtain better recognition rate, and is#br# robust to occlusion, spikes and expression.#br# Key words: 3D face recognition; radial curves; hierarchical elastic matching; expression#br# Robustness
