212 citations · 253 across the 15 of their papers we have counts for
16 papers
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…
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…
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…
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…
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…
An Attack on Facial Soft-biometric Privacy Enhancement
Dailé Osorio-Roig, Christian Rathgeb, Pawel Drozdowski +3
In the recent past, different researchers have proposed privacy-enhancing face recognition systems designed to conceal soft-biometric attributes at feature level. These works have…
Differential Anomaly Detection for Facial Images
Mathias Ibsen, Lázaro J. González-Soler, Christian Rathgeb +3
Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals.…
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…
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…
Demographic Fairness in Biometric Systems: What do the Experts say?
Christian Rathgeb, Pawel Drozdowski, Naser Damer +2
Algorithmic decision systems have frequently been labelled as "biased", "racist", "sexist", or "unfair" by numerous media outlets, organisations, and researchers. There is an ongoi…
Impact of Facial Tattoos and Paintings on Face Recognition Systems
Mathias Ibsen, Christian Rathgeb, Thomas Fink +2
In the past years, face recognition technologies have shown impressive recognition performance, mainly due to recent developments in deep convolutional neural networks. Notwithstan…
Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data
Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb +1
The growing scope, scale, and number of biometric deployments around the world emphasise the need for research into technologies facilitating efficient and reliable biometric ident…
Biometrics in the Era of COVID-19: Challenges and Opportunities
Marta Gomez-Barrero, Pawel Drozdowski, Christian Rathgeb +7
Since early 2020 the COVID-19 pandemic has had a considerable impact on many aspects of daily life. A range of different measures have been implemented worldwide to reduce the rate…
Detection of Makeup Presentation Attacks based on Deep Face Representations
Christian Rathgeb, Pawel Drozdowski, Christoph Busch
Facial cosmetics have the ability to substantially alter the facial appearance, which can negatively affect the decisions of a face recognition. In addition, it was recently shown…
Demographic Bias in Biometrics: A Survey on an Emerging Challenge
P. Drozdowski, C. Rathgeb, A. Dantcheva +2
Systems incorporating biometric technologies have become ubiquitous in personal, commercial, and governmental identity management applications. Both cooperative (e.g. access contro…
Demographic Bias: A Challenge for Fingervein Recognition Systems?
P. Drozdowski, B. Prommegger, G. Wimmer +4
Recently, concerns regarding potential biases in the underlying algorithms of many automated systems (including biometrics) have been raised. In this context, a biased algorithm pr…