Face recognition using face-ARG matching

Bo-Gun Park, Kyoung-Mu Lee, Sang-Uk Lee
IEEE Transactions on Pattern Analysis and Machine Intelligence 2005, 27 (12): 1982-8
In this paper, we propose a novel line feature-based face recognition algorithm. A face is represented by the Face-ARG model, where all the geometric quantities and the structural information are encoded in an Attributed Relational Graph (ARG) structure, then the partial ARG matching is done for matching Face-ARG's. Experimental results demonstrate that the proposed algorithm is quite robust to various facial expression changes, varying illumination conditions and occlusion, even when a single sample per person is given.

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