Face Authentication Using Adapted Local Binary Pattern Histograms
| Type of publication: | Conference paper |
| Citation: | rodriguez:eccv:2006 |
| Booktitle: | 9th European Conference on Computer Vision (ECCV) |
| Year: | 2006 |
| Note: | IDIAP-RR 06-06 |
| Crossref: | rodriguez:rr06-06: |
| 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. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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