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.


Published in:
9th European Conference on Computer Vision (ECCV)
Presented at:
9th European Conference on Computer Vision (ECCV)
Year:
2006
Keywords:
Note:
IDIAP-RR 06-06
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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