241 citations · 593 across the 45 of their papers we have counts for
9 papers · 1 filter
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…
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection
M. Ibsen, C. Rathgeb, F. Brechtel +5
Face recognition systems are widely deployed for biometric authentication. Despite this, it is well-known that, without any safeguards, face recognition systems are highly vulnerab…
Synthetic Data in Human Analysis: A Survey
Indu Joshi, Marcel Grimmer, Christian Rathgeb +3
Deep neural networks have become prevalent in human analysis, boosting the performance of applications, such as biometric recognition, action recognition, as well as person re-iden…
An Overview of Privacy-enhancing Technologies in Biometric Recognition
Pietro Melzi, Christian Rathgeb, Ruben Tolosana +2
Privacy-enhancing technologies are technologies that implement fundamental data protection principles. With respect to biometric recognition, different types of privacy-enhancing t…
Fun Selfie Filters in Face Recognition: Impact Assessment and Removal
Cristian Botezatu, Mathias Ibsen, Christian Rathgeb +1
This work investigates the impact of fun selfie filters, which are frequently used to modify selfies, on face recognition systems. Based on a qualitative assessment and classificat…
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…