IEEE Transactions on Information Forensics and Security, Volume 9, N°5, May 2014, ISSN: 1556-6013
One of the most critical sources of variation in face recognition is facial expressions, especially in the frequent case where only a single sample per person is available for enrollment. Methods that improve the accuracy in the presence of such variations are still required for a reliable authentication system. In this paper, we address this problem with an analysis-bysynthesis based scheme, in which a number of synthetic face images with different expressions are produced. For this purpose, an animatable 3D model is generated for each user based on 17 automatically located landmark points. The contribution of these additional images in terms of the recognition performance is evaluated with 3 different techniques (PCA, LDA and LBP) on FRGC and BOSPHORUS 3D face databases. Significant improvements are achieved in face recognition accuracies, for each database and algorithm.
Type:
Journal
Date:
2014-04-18
Department:
Digital Security
Eurecom Ref:
4277
Copyright:
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