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20202022
most citedDemographic Bias in Biometrics: A Survey on an Emerging Challenge

212 citations · 253 across the 15 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CV2022★ 2 cited

State of the Art of Quality Assessment of Facial Images

Johannes Merkle, Christian Rathgeb, Benjamin Tams +3

The goal of the project "Facial Metrics for EES" is to develop, implement and publish an open source algorithm for the quality assessment of facial images (OFIQ) for face recogniti…

cs.CV2022

Face Beneath the Ink: Synthetic Data and Tattoo Removal with Application to Face Recognition

Mathias Ibsen, Christian Rathgeb, Pawel Drozdowski +1

Systems that analyse faces have seen significant improvements in recent years and are today used in numerous application scenarios. However, these systems have been found to be neg…

cs.CV2022

Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions

Christian Rathgeb, Robert Nichols, Mathias Ibsen +2

We investigate the potential of fusing human examiner decisions for the task of digital face manipulation detection. To this end, various decision fusion methods are proposed incor…

cs.CV2022

Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations

Robert Nichols, Christian Rathgeb, Pawel Drozdowski +1

In recent years, increasing deployment of face recognition technology in security-critical settings, such as border control or law enforcement, has led to considerable interest in…

cs.CV2022

Reliable Detection of Doppelgängers based on Deep Face Representations

Christian Rathgeb, Daniel Fischer, Pawel Drozdowski +1

Doppelgängers (or lookalikes) usually yield an increased probability of false matches in a facial recognition system, as opposed to random face image pairs selected for non-mated c…