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Face recognition using face-ARG matching

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3 Author(s)
Bo-Gun Park ; Digital Media R&D Center, Samsung Electron. Co., Ltd., Suwon, South Korea ; Kyoung-Mu Lee ; Sang-Uk Lee

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.

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:27 ,  Issue: 12 )