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.


Année
2006
Publisher:
IDIAP
Mots-clefs:
Note:
Published in 9th European Conference on Computer Vision {ECCV}, 2006
Laboratoires:




 Notice créée le 2006-03-10, modifiée le 2019-12-05

n/a:
Télécharger le documentPDF
Lien externe:
Télécharger le documentURL
Évaluer ce document:

Rate this document:
1
2
3
 
(Pas encore évalué)