Detail publikačního výsledku

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

ESPINOSA-DURÓ, V.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.

Originální název

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

Anglický název

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

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

Thermal image, visible image, near-infrared image, face recognition, data fusion

Klíčová slova v angličtině

Thermal image, visible image, near-infrared image, face recognition, data fusion

Autoři

ESPINOSA-DURÓ, V.; FAÚNDEZ ZANUY, M.; MEKYSKA, J.

Rok RIV

2014

Vydáno

01.03.2013

ISSN

1866-9956

Periodikum

Cognitive Computation

Svazek

5

Číslo

1

Stát

Spojené státy americké

Strany od

119

Strany do

135

Strany počet

17

BibTex

@article{BUT94969,
  author="Virginia {Espinosa-Duró} and Marcos {Faúndez Zanuy} and Jiří {Mekyska}",
  title="A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums",
  journal="Cognitive Computation",
  year="2013",
  volume="5",
  number="1",
  pages="119--135",
  issn="1866-9956"
}