Issue No. 12 - December (2005 vol. 27)
Kyoung-Mu Lee , IEEE
Sang-Uk Lee , IEEE
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.
Index Terms- ARG matching, face recognition, structural representation, stochastic analysis.
K. Lee, B. Park and S. Lee, "Face Recognition Using Face-ARG Matching," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 27, no. , pp. 1982-1988, 2005.