33.1k citations · 33.4k across the 52 of their papers we have counts for
6 papers · 1 filter
State Of The Art In Open-Set Iris Presentation Attack Detection
Aidan Boyd, Jeremy Speth, Lucas Parzianello +2
Research in presentation attack detection (PAD) for iris recognition has largely moved beyond evaluation in "closed-set" scenarios, to emphasize ability to generalize to presentati…
The Value of AI Guidance in Human Examination of Synthetically-Generated Faces
Aidan Boyd, Patrick Tinsley, Kevin Bowyer +1
Face image synthesis has progressed beyond the point at which humans can effectively distinguish authentic faces from synthetically generated ones. Recently developed synthetic fac…
Analyzing the Impact of Shape & Context on the Face Recognition Performance of Deep Networks
Sandipan Banerjee, Walter Scheirer, Kevin Bowyer +1
In this article, we analyze how changing the underlying 3D shape of the base identity in face images can distort their overall appearance, especially from the perspective of deep f…
Human Saliency-Driven Patch-based Matching for Interpretable Post-mortem Iris Recognition
Aidan Boyd, Daniel Moreira, Andrey Kuehlkamp +2
Forensic iris recognition, as opposed to live iris recognition, is an emerging research area that leverages the discriminative power of iris biometrics to aid human examiners in th…
The Gender Gap in Face Recognition Accuracy Is a Hairy Problem
Aman Bhatta, Vítor Albiero, Kevin W. Bowyer +1
It is broadly accepted that there is a "gender gap" in face recognition accuracy, with females having higher false match and false non-match rates. However, relatively little is kn…
Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem
Haiyu Wu, Vítor Albiero, K. S. Krishnapriya +2
We explore varying face recognition accuracy across demographic groups as a phenomenon partly caused by differences in face illumination. We observe that for a common operational s…