Abstract 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.
Face Authentication Using Adapted Local Binary Pattern Histograms
Computer Vision – ECCV 2006 ; 6 ; 321-332
Lecture Notes in Computer Science ; 3954 , 6
2006-01-01
12 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Face Authentication Using Adapted Local Binary Pattern Histograms
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