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Adaptive biometric systems in the deep learning era



Adaptive biometric systems in the deep learning era
EAB virtual lunch talk
May 3, 2022 at 12:30-1:30pm CEST

The European Association for Biometrics (EAB) is hosting a presentation focused on investigating if and to what degree “optimal” self-update algorithms enhance FR performance, particularly in application scenarios where the facial trait varies dramatically over time and the high representativeness of the deep features may not be sufficient.

In the previous decade, several “adaptive” systems have been proposed to address the issue of intra-class variations in face recognition (FR) systems. In particular, novel template-based self-update algorithms, capable of retaining the expressive power of a restricted number of templates across time, allow overcoming the problem of manual updating and high computational complexity of traditional self-update.

Giulia Orrù from the University of Cagliari, Italy will present her research.

Attendance is free but registration is required.

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