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Independent Component Analysis and Support Vector Machine for face feature extraction

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ANTONINI G POPOVICI Vlad THIRAN JP

Rok publikování 2003
Druh Článek v odborném periodiku
Časopis / Zdroj AUDIO-AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS
Citace
Popis We propose Independent Component Analysis representation and Support Vector Machine classification to extract facial features in a face detection /localization context. The goal is to find a better space where project the data in order to build ten different face-feature classifiers that are robust to illumination variations and bad environment conditions. The method was tested on the BANCA database, in different scenarios: controlled conditions, degraded conditions and adverse conditions.

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