Upcoming Events

The conference is focused on all technical factors affecting the deployment and use of high performance face recognition applications, including applications, standards, advanced and rapid capture, quality assessment, age and ageing effects, demographic effects, presentation attack detection, non-cooperative uses, accuracy measurement and performance tests.

Due to the imaging variabilities and to the complex nature of the face shape and dynamics, analyzing and recognizing human faces from digital images is still a very complex task.

In the last decade deep learning techniques have strongly influenced many aspects of computational vision. Many difficult vision tasks can now be performed by deploying a properly tailored and trained deep network. Oxford University’s VGG-face is possibly the first deep convolutional network designed to perform face recognition, obtaining unsurpassed performance at the time it was firstly proposed. The enthusiasm for deep learning is unfortunately paired by the present lack of a clear understanding of how they work and why they provide such brilliant performance. The same applies to Face Recognition.

Over the last years, several and more complex deep convolutional networks, trained on very large, mainly private, datasets, have been proposed still elevating the performance bar also on quite challenging public databases, such as the Janus IJB-A and IJB-B. Despite of the progress in the development of such networks, and the advance in the learning algorithms, the insight on these networks is still very limited.

For this reason, we shall analyse the neural architecture of the early stages of the human visual system to devise a biologically-inspired model for face recognition. The aim is not pushing the recognition performance further, but to better understand the representation space produced from a deep network and how it may help explaining the process undergoing a real biological neural architecture.

In this talk we analyse a hybrid model network trying to better understand the role of the different layers, including the retino-cortical mapping simulated by a log-polar image resampling. The following issues will be addressed:

• What is the representation space within a deep convolutional network and how this reflects the organization of the human visual cortex?
• How the retino-cortical mapping, implemented in the human visual system, may impact the representation space, hence improving the classification performance?
• The relevance of peripheral vs foveal vision for face recognition.

Curriculum vitæ

Massimo Tistarelli received the Phd in Computer Science and Robotics in 1991 from the University of Genoa. He is Full Professor in Computer Science (with tenure) and director of the Computer Vision Laboratory at the University of Sassari, Italy. Since 1986 he has been involved as project coordinator and task manager in several projects on computer vision and biometrics funded by the European Community.

Since 1994 he has been the director of the Computer Vision Laboratory at the Department of Communication, Computer and Systems Science of the University of Genoa, and now at the University of Sassari, leading several National and European projects on computer vision applications and image-based biometrics.

Prof. Tistarelli is a founding member of the Biosecure Foundation, which includes all major European research centers working in biometrics. His main research interests cover biological and artificial vision (particularly in the area of recognition, three-dimensional reconstruction and dynamic scene analysis), pattern recognition, biometrics, visual sensors, robotic navigation and visuo-motor coordination. He is one of the world-recognized leading researchers in the area of biometrics, especially in the field of face recognition and multimodal fusion. He is coauthor of more than 150 scientific papers in peer reviewed books, conferences and international journals. He is the principal editor for the Springer books Handbook of Remote Biometrics and Handbook of Biometrics for Forensic Science.

Prof. Tistarelli organized and chaired several world-recognized several scientific events and conferences in the area of Computer Vision and Biometrics, and he has been associate editor for several scientific journals including IEEE Transactions on PAMI, IET Biometrics, Image and Vision Computing and Pattern Recognition Letters.

Since 2003 he is the founding director for the Intl. Summer School on Biometrics (now in its 17^th edition). He is a Fellow member of the IAPR and Senior member of IEEE, and Vice President of the IEEE Biometrics Council.

The Norwegian Biometrics Forum (NBF) is an open platform dedicated to regular exchange of information and experience related to the field of Biometrics. The target of the group is the interdisciplinary discussion between research, technology developers, data privacy experts, governmental agencies and operators of Biometric Systems. In the regular meetings new applications, latest research results and products are presented.

Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany

IWBF is an international forum devoted to facilitating synergies in research and development among the areas of multimedia forensics, forensic biometrics, and forensic science. State-of-the-art research in areas such as biometrics, forensic science, surveillance, and multimedia forensics will be presented. The 9th edition of IWBF will be a meeting place for those concerned with the use of advanced biometric technologies in forensic applications, attracting participants from industry, research, academia, and end-users.

Topics of interest include, but are not limited to:

• Biometrics
• Attacks to biometric recognition systems
• Multimodal biometrics
• Soft biometrics
• Mobile biometrics
• Biometric analysis of crime scenes
• Forensic Science
• Multimedia forensics
• Integrity verification
• Anonymization & Data Privacy
• Data de-identification
• Surveillance
• Ethical and societal implications
• Information Theoretic Security
• Adversarial Signal Processing
• Case studies on the aforementioned topics

Workshop of the Biometrics Working Group of TeleTrusT, the IT Security Association in Germany

The 8^th edition of the EAB Research Projects Conference will take place as hybrid conference from 13 to 15 September 2021. The conference is organized by the European Association on Biometrics (EAB) in cooperation with the Joint Research Center (DG JRC) of the European Commission, through its Cyber and Digital Citizens’ security Unit. The EAB-RPC 2021 will be co-located with the EAB Biometrics Research, Industry and Max-Snijder-Awards and the IEEE BIOSIG Conference, later that same week.

The conference is currently the largest event on research funded by the European Union in the area of Biometrics and Identity Management. Over the previous successful editions, EAB-RPC has become the main forum in Europe where attendees can simultaneously: promote research carried out in biometrics, forge new links and networks, and identify the appropriate partners for possible future project applications. Last year’s edition welcomed over 100 participants from academia, industry and public institutions.

We thank our partners:

All members of EAB are invited to join us for our annual General Assembly.

EAB is launching the fifteen European Biometric Max Snijder, Research, and Industry Awards. These prestigious awards are granted annually to individuals who have been judged by a panel of internationally respected experts to be making a significant contribution to the field of biometrics research in Europe.

We thank the sponsor of this event:

This seminar aims to provide an opportunity to learn first-hand from world-leading experts both the basics of biometric systems and also the latest developments across the community. It is aimed at a wide range of stakeholders including industrial and governmental developers and end-users, researchers, academics and post-graduate students, and policy makers.

The BIOSIG 2020 conference addresses current issues in the area of biometrics and will present innovations and best practices that can be transferred into future applications.