Independent Component Analysis and Support Vector Machine for face feature extraction

ANTONINI, G; Vlad POPOVICI a JP THIRAN. Independent Component Analysis and Support Vector Machine for face feature extraction. AUDIO-AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS. BERLIN: SPRINGER-VERLAG BERLIN, 2003, roč. 2688, s. 111-118. ISSN 0302-9743.

Základní údaje

Originální název

Independent Component Analysis and Support Vector Machine for face feature extraction

Autoři

ANTONINI, G; Vlad POPOVICI a JP THIRAN

Vydání

AUDIO-AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, BERLIN, SPRINGER-VERLAG BERLIN, 2003, 0302-9743

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Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Utajení

není předmětem státního či obchodního tajemství

Označené pro přenos do RIV

Ne

UT WoS

000184940200014

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Anotace

V originále

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.