The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic and Talking Face Data) and the IV2-2007 Evaluation Campaign

Dijana Petrovska-Delacrétaz 1 Sylvie Lelandais 2 Joseph Colineau 3 Liming Chen 4 Bernadette Dorizzi 1 Emine Krichen 5 Mohamed Anouar Mellakh 5 Anis Chaari 2 Souhila Guerfi 2 Moshen Ardabilian 4 Johan d'Hose 3 Boulbaba Ben Amor 6
1 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
2 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
3 Thales Research and Technology [Palaiseau]
4 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
5 EPH - Département Electronique et Physique
6 LIFL - FOX MIIRE
LIFL - Laboratoire d'Informatique Fondamentale de Lille
Abstract : Face recognition finds its place in a large number of applications. They occur in different contexts related to security, entertainment or Internet applications. Reliable face recognition is still a great challenge to computer vision and pattern recognition researchers, and new algorithms need to be evaluated on relevant databases. The publicly available IV2 database allows monomodal and multimodal experiments using face data. Known variabilities, that are critical for the performance of the biometric systems (such as pose, expression, illumination and quality) are present. The face and subface data that are acquired in this database are: 2D audio-video talking-face sequences, 2D stereoscopic data acquired with two pairs of synchronized cameras, 3D facial data acquired with a laser scanner, and iris images acquired with a portable infrared camera. The IV2 database is designed for monomodal and multimodal experiments. The quality of the acquired data is of great importance. Therefore as a first step, and in order to better evaluate the quality of the data, a first internal evaluation was conducted. Only a small amount of the total acquired data was used for this evaluation: 2D still images, 3D scans and iris images. First results show the interest of this database. In parallel to the research algorithms, open-source reference systems were also run for baseline comparisons.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00765334
Contributor : Frédéric Davesne <>
Submitted on : Friday, December 14, 2012 - 2:35:51 PM
Last modification on : Thursday, December 19, 2019 - 1:20:35 AM

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CNRS | UNIV-LYON2 | UNIV-EVRY | EC-LYON | TELECOM-SUDPARIS | INSTITUT-TELECOM | LIRIS | IBISC-SIBI | IBISC | CRISTAL | CRISTAL-3D-SAM | INRIA | UNIV-LILLE3 | INSA-LYON | UNIV-LYON1 | INSA-GROUPE | LABEXIMU | UDL

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Dijana Petrovska-Delacrétaz, Sylvie Lelandais, Joseph Colineau, Liming Chen, Bernadette Dorizzi, et al.. The IV2 Multimodal Biometric Database (Including Iris, 2D, 3D, Stereoscopic and Talking Face Data) and the IV2-2007 Evaluation Campaign. 2nd IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS 2008), Sep 2008, Crystal City, Washington DC, United States. (elec. proc), ⟨10.1109/BTAS.2008.4699323⟩. ⟨hal-00765334⟩

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