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Fusion of facial regions using color information in a forensic scenario

Author
Tomé González, Pedro; Vera Rodríguez, Rubénuntranslated; Fiérrez Aguilar, Juliánuntranslated; Ortega García, Javieruntranslated
Entity
UAM. Departamento de Tecnología Electrónica y de las Comunicaciones
Publisher
Springer Berlin Heidelberg
Date
2013-12-01
Citation
10.1007/978-3-642-41827-3_50
18th Iberoamerican Congress on Pattern Recognition, CIARP 2013; Havana; Cuba; 20 - 23 November 2013. Lecture Notes in Computer Science, Volume 8259. Springer, 2013. 399-406
 
 
 
ISSN
0302-9743 (print); 1611-3349 (online)
ISBN
978-3-642-41826-6 (print); 978-3-642-41827-3 (online)
DOI
10.1007/978-3-642-41827-3_50
Funded by
This work has been partially supported by contract with Spanish Guardia Civil and projects BBfor2 (FP7-ITN-238803), bio-Challenge (TEC2009-11186), Bio Shield (TEC2012-34881), Contexts (S2009/TIC-1485), TeraSense (CSD2008-00068) and "Cátedra UAM-Telefónica"
Project
info:eu-repo/grantAgreement/EC/FP7/238803; Comunidad de Madrid. S2009/TIC-1485/CONTEXTS
Editor's Version
http://dx.doi.org/10.1007/978-3-642-41827-3_50
Subjects
At a distance; Color information; Face recognition; Facial components; Facial regions; Forensics; Video surveillance; Informática
URI
http://hdl.handle.net/10486/662719
Note
Comunicación presentada en: 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013; Havana; Cuba; 20-23 November 2013
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-41827-3_50
Rights
© Springer-Verlag 2013

Abstract

This paper reports an analysis of the benefits of using color information on a region-based face recognition system. Three different color spaces are analysed (RGB, YCbCr, lαβ) in a very challenging scenario matching good quality mugshot images against video surveillance images. This scenario is of special interest for forensics, where examiners carry out a comparison of two face images using the global information of the faces, but paying special attention to each individual facial region (eyes, nose, mouth, etc.). This work analyses the discriminative power of 15 facial regions comparing both the grayscale and color information. Results show a significant improvement of performance when fusing several regions of the face compared to just using the whole face image. A further improvement of performance is achieved when color information is considered
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Google™ Scholar:Tomé González, Pedro - Vera Rodríguez, Rubén - Fiérrez Aguilar, Julián - Ortega García, Javier

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  • Producción científica en acceso abierto de la UAM [16606]

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Universidad Autónoma de Madrid. Biblioteca
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