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 m...

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Hauptverfasser:	Rodriguez, Yann, Marcel, Sébastien
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Face Image Local Binary Pattern Local Binary Pattern Code Local Binary Pattern Feature Local Binary Pattern Operator Pattern recognition. Digital image processing. Computational geometry
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creator	Rodriguez, Yann Marcel, Sébastien
description	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.
doi_str_mv	10.1007/11744085_25
format	Conference Proceeding
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source	Springer Books
subjects	Applied sciences Artificial intelligence Computer science control theory systems Exact sciences and technology Face Image Local Binary Pattern Local Binary Pattern Code Local Binary Pattern Feature Local Binary Pattern Operator Pattern recognition. Digital image processing. Computational geometry
title	Face Authentication Using Adapted Local Binary Pattern Histograms
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