Face Recognition Workshop
Face recognition workshop, Tuesday 31 October, 1.00pm - 5.00pm - FULLY BOOKED OUT - Additional dates to be announced shortly! Please contact us with your expression of interest
PRESENTERS: Patrick Grother and Mei Ngan NIST
Patrick Grother is a scientist at the National Institute of Standards in Technology responsible for biometric standards and testing. He leads the IREX, FRVT and FIVE evaluations of iris and face recognition technologies that support biometrics in national scale identity management. He co-chairs NIST’s International Biometrics Performance Conference on measurement, metrics and certification. He edits the biometrics specifications for the US Government's PIV credentialing program, for which he received his second Department of Commerce Gold Medal. He assists a number of US Government agencies on research, development and evaluation, and serves as editor of several ISO standards - he received the IEC 1906 Award in 2009 and the ANSI Lohse IT Medal in 2013.
Mei Ngan graduated from the University of Maryland, College Park with a B.S. in Computer Engineering and received her M.S. in Computer Science from the Johns Hopkins University. She now works for the National Institute of Standards and Technology (NIST) with focus on research and evaluation of face recognition and tattoo recognition technologies.
This half day workshop will cover face recognition including the new generation of algorithms, demographics, NIST results, items from NIST test roadmap.
Target Audience: End-users, integrators, application developers and others interested in the technical performance aspects of face detection and recognition in photographs collected with variable image quality constraints and subject non-cooperation.
Face recognition performance and measurement
1. Across algorithms, datasets, demographics, levels of subject cooperation
2. With motion video vs. still.
3. Online vs. offline.
Hunting down face recognition errors
1. Sources: Capture, detection, enrollment, feature extraction, matching 1:1 and 1:N
2. The anatomy of the impostor distribution. Are distributions stable? Do fat tails exist?
3. The anatomy of the genuine distribution. High scores. Quality. Standards and conformance.
4. Nature-vs-capture: Subjects-specific vs. image-specific effects.
5. Demographics effects in biometrics: ISO/IEC TR 22116
6. Image quality: Standards. Measurement and standards conformance.
Face recognition under attack
1. Passive vs. active. Zero effort and levels beyond.
2. Tests for morphing, manipulation, presentation attack detection.
3. Role of ISO/IEC 30107.
State of the industry
1. Retrospective evolution of the FR performance 2000 – 2017.
2. CNNs in an open universe: A breakthrough?
3. Test programs and benchmarks worldwide: Megaface, IJB-x, LFW, FRVT
4. Comparing tests in academia, corporations, labs, pilots, and operations.
Member: £100 + VAT = £120
Non-member: £200 + VAT = £240
The Biometrics Institute provides training and course material as a tool to help you conduct due diligence. While the Institute has used reasonable care to ensure the accuracy of the material and course, due to the content and variable inputs during and after the process of implementing biometrics, the Institute cannot be held accountable for outcomes or compliance. The material and course have been prepared for informational purposes only and are not intended to provide legal or compliance advice. You should consult your legal advisor should you require advice on the legal or compliance aspects of the material or course.