Local Binary Patterns as an Image Preprocessing for Face Authentication
| Type of publication: | Conference paper |
| Citation: | heusch:AFGR:2006 |
| Booktitle: | IEEE Int. Conf. on Automatic Face and Gesture Recognition (AFGR) |
| Year: | 2006 |
| Note: | IDIAP-RR 05-76 |
| Crossref: | heusch:rr05-76: |
| Abstract: | One of the major problem in face authentication systems is to deal with variations in illumination. In a \mbox{realistic} scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence there is a need to handle such variations. In this work, we present a new preprocessing algorithm based on Local Binary Patterns (LBP): a texture representation is derived from the input face image before being forwarded to the classifier. The efficiency of the proposed approach is empirically demonstrated using both an appearance-based (LDA) and a feature-based (HMM) face authentication systems on two databases: BANCA and XM2VTS (with its darkened set). Conducted experiments show a significant improvement in terms of verification error rates and compare to results obtained with state-of-the-art preprocessing techniques. |
| Userfields: | ipdmembership={vision}, |
| Keywords: | |
| Projects |
Idiap |
| Authors | |
| Added by: | [UNK] |
| Total mark: | 0 |
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