Face Authentication Using Adapted Local Binary Pattern Histograms

In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as a collection of LBP-histograms. Then, a client-specific model is obtained by an adaptation technique from this generic model under a probabilistic framework. We compare the proposed approach to standard state-of-the-art face authentication methods on two benchmark databases, namely XM2VTS and BANCA, associated to their experimental protocol. We also compare our approach to two state-of-the-art LBP-based face recognition techniques, that we have adapted to the verification task.

• Type: Conference
• Year: 2006
• Where: ECCV
• Authors: Sébastien Marcel, Yann Rodriguez
• Keywords: Client-specific Model, Computer Vision, ECCV 2006, Generic Face Model, Generic Model, State-of-the-art Face Authentication, State-of-the-art Lbp-based Face