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Cognitive Computation
Erschienen in: Cognitive Computation 1/2013

01.03.2013

A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums

verfasst von: Virginia Espinosa-Duró, Marcos Faundez-Zanuy, Jiří Mekyska

Erschienen in: Cognitive Computation | Ausgabe 1/2013

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Abstract

In this paper, we present a new database acquired with three different sensors (visible, near infrared and thermal) under different illumination conditions. This database consists of 41 people acquired in four different acquisition sessions, five images per session and three different illumination conditions. The total amount of pictures is 7,380 pictures. Experimental results consist of single sensor experiments as well as the combination of two and three sensors under different illumination conditions (natural, infrared and artificial illumination). We have found that the three studied spectral bands contribute in a nearly equal proportion to a combined system. Experimental results show a significant improvement combining the three spectrums, even when using a simple classifier and feature extractor. In six of the nine studied scenarios, we obtained identification rates higher or equal to 98 %, when using a trained combination rule, and two cases of nine when using a fixed rule.
Vorheriger Artikel Reverse Engineering of Biochemical Reaction Networks Using Co-evolution with Eng-Genes
Nächster Artikel Biometric Applications Related to Human Beings: There Is Life beyond Security

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Metadaten
Titel
A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums
verfasst von
Virginia Espinosa-Duró
Marcos Faundez-Zanuy
Jiří Mekyska
Publikationsdatum
01.03.2013
Verlag
Springer-Verlag
Erschienen in
Cognitive Computation / Ausgabe 1/2013
Print ISSN: 1866-9956
Elektronische ISSN: 1866-9964
DOI
https://doi.org/10.1007/s12559-012-9163-2

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