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IFPC 2020 Conference Presentations and Videos
Day 1 - 10/27/2020
- 11, Arun Vemury, DHS Science + Technology Directorate (US), Welcome + DHS context
- 12, Istvan Szilard Racz, EU-LISA: European Entry-Exit System
- 13, Anna Stratmann, Wied Pakusa, Markus Münzel, BSI (DE): Biometric processes of the Entry Exit System
- 14, Patrick Grother, NIST (US): Measurement of face recognition performance for Entry-Exit
- 15, Arun Ross, Michigan State University (US): Look-alike disambiguation in face recognition
- 16, Mei Ngan, NIST (US): Evaluation of face recognition accuracy for subjects potentially wearing face masks
- 17, Laura Rabbitt & Yevgeniy Sirotin, SAIC (US): Human-Algorithm teaming in face recognition
- 18, Carina A. Hahn, NIST (US): The effectiveness of fusion in face recognition
- 19, P. Jonathon Phillips, NIST (US): Item response theory for designing calibrated face ability tests
- 1a, John Howard & Yevgeniy Sirotin, SAIC (US): Quantifying race and gender effects in face versus Iris algorithms
- 1b, Amy N. Yates, NIST (US): Perceptual face abilities of face examiners for varying tasks
Day 2 - 10/28/2020
- 21, Lars Ericson, IARPA (US): Overview of the IARPA efforts on face recognition
- 22, Stergios Papadakis, Johns Hopkins Applied Physics Lab (US): Results from the Odin program on presentation attack detection
- 23, Marta Gomez-Barrero, Hochschule Ansbach (DE): Presentation attack detection and unknown attacks
- 24, Christian Rathgeb, Hochschule Darmstadt (DE): Impact of facial beautification on face recognition: From plastic surgery to makeup presentation attacks
- 25, Stéphane Gentric, Idemia (FR): Synthetic faces: Are they new identities and can they be used in evaluation?
- 26, Mei Ngan, NIST (US): Face morphing - threats, technology, what's next
- 27, Christoph Busch, NTNU/Hochschule Darmstadt (NO/DE): Face morphing attack detection in the iMARS project
- 28, Kiran Raja, NTNU/MOBAI (NO): Morphing Attack Detection - obstacles for research to deployment
- 29, Chen Liu, Z ander Blasingame, Clarkson U., Jeremy Dawson, Jacob Dameron, West Virginia U. (US): Center for Identification Technology Research (CITeR) Morph attack detection and mitigation projects
- 2a, Pawel Drozdowski, Hochschule Darmstadt (DE): Signal-level fusion for indexing and retrieval of facial biometric data
- 2b, Patrick Grother, NIST (US): Now under development: ISO/IEC 24358 face-aware capture specifications ISO/IEC 29794-5 face image quality standard
Day 3 - 10/29/2020
- 31, Stacy Oerder & Bill Perry, Home Affairs (AU): Mobile capture
- 32, Ted Dunstone, Stewart Pope, Biometix (AU): Interactive techniques for visualizing and investigating biometric performance characteristics
- 33, Martins Bruveris, Onfido (UK): Reducing geographic performance differentials for face recognition
- 34, Mosalam Ebrahimi, Trueface AI (US): A bias mitigation strategy: overcoming the problem of overly confident false matches
- 35, Jacqueline Cavazos, UT Dallas (US): Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
- 36, John Howard & Yevgeniy Sirotin, SAIC (US): Revisiting the Fitzpatrick Scale and face photo-based estimates of skin phenotypes
- 37, Johanna Morley, Metropolitan Police (UK): Testing of demographic effects in an operational live facial recognition from video system
- 38, Michael Thieme, Novetta (US): AI performance assessment standardization in SC 42 – implications for biometrics
- 39, Brendan Klare, Rank One Computing (US): Efficiency considerations for face recognition algorithms
- 3a, Bhargav Avasarala, Paravision (US): Challenges and considerations for masked face recognition
- 3b, Tony Mansfield, NPL (UK): The new ISO/IEC 19795-1 biometric performance testing and reporting standard
Created November 13, 2020, Updated April 5, 2021