U:\htdocs\JL_Dugelay_2008.jpgName: Jean-Luc DUGELAY

Institution: EURECOM Sophia Antipolis

 

Jean-Luc DUGELAY (EURECOM) obtained his PhD in Information Technology from the University of Rennes in 1992.  His thesis work was undertaken at CCETT (France Télécom Research) at Rennes between 1989 and 1992.  He then joined EURECOM in Sophia Antipolis where he is now a Professor in the Department of Multimedia Communications.  His current work focuses in the domain of multimedia image processing, in particular activities in security (watermarking and biometrics), and facial image processing.  He has authored or co-authored over 150 publications in journals and conference proceedings, 1 book on 3D object processing published by Wiley, 3 book chapters and 3 international patents.  His research group is involved in several national projects (ANR MISTRAL, FAR 3D, BIOBIMO, VIDEO ID) and one European project (ACTIBIO).  He has delivered several tutorials on digital watermarking, biometrics and compression at major international conferences such as ACM Multimedia and IEEE ICASSP.  He participated in numerous scientific events as member of scientific technical committees, invited speakers or session chair.  Jean-Luc Dugelay is (or was) associate editor of several international journals (IEEE Trans. on IP, IEEE Trans. on MM) and is editor-in-chief of the EURASIP journal on Image and Video Processing (Hindawi).  He co-organised the 4th IEEE International Conference on Multimedia Signal Processing held in Cannes, 2001 and the Multimodal User Authentication held in Santa Barbara, 2003.  More information is available at http://www.eurecom.fr/~dugelay

 

Publications:

 

-         Matta,Federico;Saeed, Usman;Mallauran, Caroline;Dugelay, Jean-Luc
Facial gender recognition using multiple sources of visual information
MMSP 2008, 10th IEEE Int. Wksp on MultiMedia Signal Processing, Oct. 8-10, 2008, Cairns.

-         Perronnin, Florent;Dugelay, Jean-Luc;Rose, Kenneth
Deformable face mapping for person identification
ICIP 2003, IEEE Int. Conf. on Image Processing, Sep. 14-17, 2003, Barcelona.

 

Title of Project: Novel Facial Biometrics

 

The security field uses three different types of authentication: something you know, something you have, or something you are - a biometric. It ranges from fingerprints to retina, iris or facial characteristics. Biometrics is bound to become a part of our everyday life, playing a key role in enhancing security, residing in smart cards or passports and supporting personalized Web e-commerce services.

Face recognition (FR) is one of the most attractive biometrics for a broad range of applications. As it is the way people use to recognize each other, it is one of the most easily accepted biometrics. Furthermore, it is intuitive from the user's point of view and doesn't need any contact.

2-D FR has been widely studied for decades and provides relevant performances. Nevertheless, such good results can only be obtained by applying tight constraints with respect to pose, illumination and expression of the face.

The major difficulty in FR is related to the existence of these three sources of variations. In this presentation, we will discuss on the possible contribution of video (i.e. dynamic features) as well as 3D for FR to improve performances of authentication while keeping existing advantages of face recognition from 2-D images. Combining with physiological parameters (i.e. related to the appearance) within a multimodal framework, behavioral parameters (i.e. related to head motion and facial mimics) would be helpful in the design of a person system more robust to pose, illumination and expression variations.

This presentation will also include some points on very recent works on soft biometrics. It consists in extracting limited information from enrolled or even unknown persons such as gender, age, presence of eyeglasses, facial hair, color of eyes.

Finally, another major issue in biometrics is the security of the system, and not only its robustness. In the specific case of face recognition, one possible attack is the replay attack, i.e. the  use of an ID picture from someone else.