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

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About: A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums Goto Sponge NotDistinct Permalink

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums (en)
skos:prefLabel	A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums A New Face Database Simultaneously Acquired in Visible, Near-Infrared and Thermal Spectrums (en)
skos:notation	RIV/00216305:26220/13:PU100476!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED2.1.00/03.0072), P(GAP102/12/1104), P(ME10123), P(VG20102014033), S
http://linked.open...iv/cisloPeriodika	1
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Mekyska, Jiří
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	58806
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/13:PU100476
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Thermal image, visible image, near-infrared image, face recognition, data fusion (en)
http://linked.open.../riv/klicoveSlovo	near-infrared image visible image face recognition Thermal image data fusion
http://linked.open...odStatuVydavatele	US - Spojené státy americké
http://linked.open...ontrolniKodProRIV	[D5F3D6F63C99]
http://linked.open...i/riv/nazevZdroje	Cognitive Computation
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Centre of sensor, information and communication systems The Research of Algorithms for Processing of Digital Images and Image Sequences Study of metabolism and localization of high grade glioma using MR imaging techniques Improvement of risk area security using combined methods for biometrical identification of subjects
http://linked.open...UplatneniVysledku	2013
http://linked.open...v/svazekPeriodika	5
http://linked.open...iv/tvurceVysledku	Faúndez Zanuy, Marcos Mekyska, Jiří Espinosa-Duró, Virginia
issn	1866-9956
number of pages	17 (xsd:int)
http://localhost/t...ganizacniJednotka	26220

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