We cordially invite you to participate in the 3rd Norwegian Biometrics Laboratory Workshop 2013 which is an open and free-to-attend event organized by Norwegian Biometrics Laboratory at Gjøvik University College. This event is facing all who are interested in technologies, policies, applications, and wider acceptability of biometrics. The event in 2013 focuses on the topic “off-the-shelf technologies“ to realize user-centered biometrics with a better acceptability, higher efficiency, and lower deployment cost.
1. Biometrics in a networked world (Kevin C. Mangold, NIST)
The need for high degrees of interoperability between various system components have been rapidly increasing. Interoperability is commonly thought of between different systems-however it is just as important to have this within a system. Recognizing this need is only a starting point. Properly defining each component's scope is a challenge in itself. These types of challenges and opportunities will be discussed and what NIST and other initiatives are doing to help in these areas.
is a computer scientist at the National Institute of Standards and Technology (NIST). Lately, his work includes biometric standards development, identity management, and biometric technologies research with a high degree of focus on interoperability and web services. He is the editor of 19785-3 – Common Biometric Exchange Formats Framework (CBEFF) revision project within ISO/IEC JTC 1 SC 37 subcommittee on biometrics and is very active in the development of other projects within the subcommittee. He also actively participates in INCITS M1 technical committee on biometrics, and co-chairs the Biometric Identity Assurance Services (BIAS) Integration technical committee at OASIS.
2. Challenges and opportunities of cloud biometrics (Ho Chang, BioID GmbH)
As more and more applications and services are available in the cloud, "knowing your users" is becoming more critical to ensure trust between service providers and end-users. Cloud biometrics can help. But what are the challenges in terms of technology/algorithm deployment? Where are the opportunities for cloud biometrics?
brings more than 19 years CEO-level experience in the biometrics and IT industry to BioID. His knowledge and long-term experience in the software and security industry, as well as his extensive experience in sales and management are essential to the successful commercialization of BioID’s technologies. He graduated from the University of Toronto in Mathematics and Computer Science and has worked for companies such as Hewlett-Packard and Ontario Hydro.
3. Human dynamics for identification - research in Center for Machine Vision Research (CMV) (Guoying Zhao, University of Oulu)
Biometrics is a method of identifying persons based on his physiological/behavioral characteristics, such as face, voice/speech, iris, fingerprints, hand geometry, gait etc. It plays an increasingly important role in human identification primarily due to the universality and uniqueness of these characteristics. In my talk, emphasis will be put on the human dynamics for identification: to identify people by the way they walk (gait recognition) and by the way they speak (speaker recognition using mouth movements) using local spatiotemporal dynamic features.
received the PhD degree in computer science from the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China in 2005. From July 2005 to August 2010, she was a Senior Researcher in the Center for Machine Vision Research at the University of Oulu. From September of 2010, she is an adjunct professor at the University of Oulu. Her research interests include gait analysis, dynamic texture recognition, facial expression recognition, human motion analysis, and person identification. She has authored over 70 papers in journals and conferences, and has served as a reviewer for many journals and conferences. She has authored/edited three books and a special issue on IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics and is editing another special issue on Elsevier Journal on Image and Vision Computing. She was a co-chair of ECCV 2008 Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA), and MLVMA workshop at ICCV 2009 and CVPR 2011.
4. Biometrics and Identity - Challenges and opportunities for immigration management (Frøy Løvåsdal and Knut Ivarson Øvregård, Norwegian ID Centre)
The Norwegian ID Centre has recently published a report entitled ‘Biometrics and Identity – Challenges and New Opportunities for the Immigration Authorities. The report provides an overview of biometrics used by the Immigration Authorities today, as well as considering possibilities and limitations within the current legal framework. Moreover, it gives recommendations as to how identity work in Norway could be simplified and streamlined to achieve better efficiency, service and quality.
is a Senior Adviser in the ID Person Section at the Norwegian ID Centre, specializing in biometrics. She is the former Section Head (Visas) at the Norwegian Embassy in Manila, and previously worked with system development (Schengen’s Visa Information System, an application portal for visa applicants, case handling systems, etc.) at the Norwegian Directorate of Immigration.
Knut Ivarson Øvregård
is a Senior Adviser in the ID Person Section at the Norwegian ID Centre, and project manager for the "Biometrics Project". Specializing in biometrics and eID, he is the former Assistant Chief of Police, and project manager for implementation of the VIS (Schengen’s Visa Information System) at the National Police Directorate, Norway.
5. On the fly head shape parameter estimation for Automatic Border Control applications (Catherine Herold, Morpho)
The presentation will begin with a quick overview of the FIDELITY European project and in particular its links with Morpho activities on face authentication. Then we will focus on a specific research study: As Automated Border Control (ABC) is based on the comparison between video sequences and frontal ICAO pictures, an intermediate step is to generate a frontal view using a 3D model for which we optimize the parameters given the observations. In ABC, as images arrive successively in video sequences, specific interest is accorded to the way to update these parameters. Indeed, we want to provide a head estimation on-the-fly instead of waiting the end of the sequence to start the optimization process. The proposed approach is based on a particle filter to update the deformation parameter distribution, thus affording an improved frontal view at each time.
received the MSc in computer science and image processing from the Paris VI University in 2010. She is currently a PhD student in Telecom ParisTech and LIP6, Paris, in collaboration with Morpho, Safran. Her research interests include computer vision, especially in the areas of face tracking and reconstruction, and particle filter methods for dynamic and static parameter estimation
6. Face recognition using light field camera: a preliminary study (Raghavendra Ramachandra, GUC)
The problem of face recognition is well addressed by the research community from past two decades. However, there still exists a wide spectrum of that hinders the performance of the face recognition system when used in real time scenarios. This talk explores the strength of plenoptic (or near-field) cameras to address the most common problem in the face recognition i.e. focus. We present and discuss preliminary results indicating both qualitative and quantitative performance of the plenoptic cameras over conventional cameras for accurate face recognition.
is working as a researcher at NISlab with a research focus on computer vision and pattern recognition applications for the biometrics. Previously, he was a researcher at the facility of computer imaging, Italian Institute of Technology (IIT) in Genoa, Italy. Before that, he received his PhD from University of Mysore, India and Telecom Sudparis, Paris, France (join work) in 2010.
7. Preliminary analysis and vision of fingerprints collection using smartphone cameras (Bian Yang, GUC)
As a general-purposed device, smartphones are promising to complement existing professional biometric sensors with advantages in convenience, privacy, and portability. This talk discloses GUC’s preliminary analysis over the accuracy performance and sample quality control effectiveness using smartphone cameras for fingerprint collection.
is a researcher in NISlab since 2008. He got his B.S., M.S., and Ph.D. degree from Harbin Institute of Technology by 2005. He worked with Fraunhofer IGD Darmstadt as a visiting scientist during 2003-2005, as a lecturer to Harbin Institute of Technology during 2005-2007, and worked with Thomson Corporate Research (Beijing) 2007-2008. He is with Norway Standards in the mirror committee to ISO/IEC SC27/37 and as a co-editor to ISO 24722. He published around 60 peer-reviewed papers and was involved in several European projects (ECRYPT, AXMEDIS, TURBINE, FIDELITY, INGRESS).
, Legal consultant/id management advisor, Deputy Director General for Ministry of Justice and the Police, Norway from 1990 to 2012. Cand. Jur (Master in Law) from The university of Oslo, Police Academy, Oslo, Working experience: Ass. Judge, police procecutor, head of Procecution Section and Criminal Investigation Dept, Oslo Police Hqrs, responsible for border control and passports in Ministry of Jusrice. Since 2012, consultant on ID management.
received his MSc and PhD in Discrete Mathematics from Eindhoven University of Technology in the Netherlands. He worked for 10 years for the Netherlands National Communication Security Agency as a senior policy member in cryptology. He started working as a Postdoc researcher at NISlab in 2005 in the area of behavioural biometrics and authentication. In 2008 he became an Associate Professor and since 2012 a full Professor. His main focus in research is on continuous keystroke and mouse dynamics, gesture recognition and gait recognition.
is a professor with the Gjøvik University College (GUC) and Hochschule Darmstadt (HDA). He was project coordinator for the project series BioIS, BioFace, BioFinger, BioKeyS and initiator of the Integrated Projects 3D-Face and FIDELITY. He is leader of the Norwegian Biometrics Laboratory (NBL) and general chair of the annual IEEE BIOSIG conference. Also he is convenor of WG3 in ISO/IEC JTC1 SC37 on Biometrics and board member of the European Association for Biometrics (EAB).
is head of the Competence Center "Identification and Biometrics" of the Fraunhofer Institute for Computer Graphics Research IGD in Darmstadt, Germany. He is responsible for the acquisition, the management, and the controlling of various applied research and development projects. Alexander Nouak was last coordinator of the project BEST Network funded within the 7th framework for research programme by the European Commission. Before he was responsible for "Research and Technology" within the Integrated Project "3D Face" funded within the 6th FRP that aimed for unattended border control. He is an active member of the DIN NIA 37 working group on biometrics as well as a contributor to the WG5 on "Biometric testing and reporting" of ISO/IEC JTC1 SC37. Since 2009, Alexander Nouak is a certified Common Criteria Evaluator (CC 3.1) and a member of IEEE. As a member of the Gesellschaft für Informatik (GI) he participates in the steering committee of the special group BIOSIG. Alexander Nouak is co-founder and chair of the European Association for Biometrics.
received her PhD at Technische Universität Darmstadt in 2011. With her thesis “Privacy and Security Assessment of Biometric Template Protection”, she got the CAST/GI dissertation award in IT-security in the same year. In 2010 she won the European Biometrics Forum (EBF) Research Award 2010. Since 2008 she is a member of the steering committee of the special group BIOSIG (Working group on Biometrics and electronic signatures) within the Gesellschaft für Informatik (GI). Her research interests include biometrics, privacy protection, security analysis and copyright protection. She joined CASED-Center for Advanced Security Research Darmstadt in 2011. From 2005 to 2011 she worked as a research assistant at Fraunhofer Institute for Computer Graphics Research IGD. She has been working on many European and national projects such as 3D Face, HIDE, BioFinger II, BioKeyS-Pilot-DB-Teil2, AXMEDIS and eCrypt.
Arrival: Gjøvik is located in the center of Norway, about 140 kilometers from Oslo. You can go from Oslo by train: www.nsb.noor by bus: www.timeekspressen.no. Traveling time is approx. 2 hours. The fastest and most convenient way from Oslo Gardermoen Airport to Gjøvik is the bus, Gjøvik is the last station so can not miss it. You can find the time tables of the bus route 15 here.
Location: The workshop will take place on the campus of GUC, Building K, Room K102. You can find Gjøvik University College here: google map.
Accommodation: The two most common hotels are the Quality Hotel Strandand the Comfort Hotel Grand. Both hotels are within walking distance of the railway station and from GUC.
The third hotel option is the Youth Hostel Hovdetun. This is however further away from the center of the city so transportation is needed to travel between railway station, youth hostel and GUC.
The Norwegian Biometrics Laboratory Workshop 2013 took place on the 22nd of February 2013 and it successfully allowed researchers and representatives of the industry to share ideas and visions about further advances and applications of the biometric technologies. Many inspiring presentations and discussions helped to widen the horizons of possible improvements and cooperations.