activity
20202022
most citedState of the Art of Quality Assessment of Facial Images

2 citations · 2 across the 6 of their papers we have counts for

collaborators

11 papers

cs.CV20222 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.CV2021

Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb +2

Computationally efficient, accurate, and privacy-preserving data storage and retrieval are among the key challenges faced by practical deployments of biometric identification syste…

cs.CV2021

Demographic Fairness in Face Identification: The Watchlist Imbalance Effect

Pawel Drozdowski, Christian Rathgeb, Christoph Busch

Recently, different researchers have found that the gallery composition of a face database can induce performance differentials to facial identification systems in which a probe im…