Search Results for author: Christian Rathgeb

Found 25 papers, 1 papers with code

An Overview of Privacy-enhancing Technologies in Biometric Recognition

no code implementations21 Jun 2022 Pietro Melzi, Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch

Privacy-enhancing technologies are technologies that implement fundamental data protection principles.

Fun Selfie Filters in Face Recognition: Impact Assessment and Removal

no code implementations12 Feb 2022 Cristian Botezatu, Mathias Ibsen, Christian Rathgeb, Christoph Busch

This work investigates the impact of fun selfie filters, which are frequently used to modify selfies, on face recognition systems.

Face Detection Face Recognition

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

no code implementations10 Feb 2022 Mathias Ibsen, Christian Rathgeb, Pawel Drozdowski, Christoph Busch

Moreover, we demonstrate the feasibility of the generation by using a deep learning-based model for removing tattoos from face images.

Face Recognition

Crowd-powered Face Manipulation Detection: Fusing Human Examiner Decisions

no code implementations31 Jan 2022 Christian Rathgeb, Robert Nichols, Mathias Ibsen, Pawel Drozdowski, Christoph Busch

To this end, various decision fusion methods are proposed incorporating the examiners' decision confidence, experience level, and their time to take a decision.

Face Swapping Image Manipulation +1

Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations

no code implementations28 Jan 2022 Robert Nichols, Christian Rathgeb, Pawel Drozdowski, Christoph Busch

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 the vulnerability of face recognition systems to attacks utilising legitimate documents, which are issued on the basis of digitally manipulated face images.

Face Recognition Face Swapping

Reliable Detection of Doppelgängers based on Deep Face Representations

no code implementations21 Jan 2022 Christian Rathgeb, Daniel Fischer, Pawel Drozdowski, Christoph Busch

Doppelg\"angers (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 comparison trials.

Face Recognition

An Attack on Facial Soft-biometric Privacy Enhancement

no code implementations24 Nov 2021 Dailé Osorio-Roig, Christian Rathgeb, Pawel Drozdowski, Philipp Terhörst, Vitomir Štruc, Christoph Busch

Future works on privacy-enhancing face recognition are encouraged to include the proposed attack in evaluations on the privacy protection.

Dimensionality Reduction Face Recognition

SynCoLFinGer: Synthetic Contactless Fingerprint Generator

no code implementations18 Oct 2021 Jannis Priesnitz, Christian Rathgeb, Nicolas Buchmann, Christoph Busch

We present the first method for synthetic generation of contactless fingerprint images, referred to as SynCoLFinGer.

Differential Anomaly Detection for Facial Images

no code implementations7 Oct 2021 Mathias Ibsen, Lázaro J. González-Soler, Christian Rathgeb, Pawel Drozdowski, Marta Gomez-Barrero, Christoph Busch

Due to their convenience and high accuracy, face recognition systems are widely employed in governmental and personal security applications to automatically recognise individuals.

Anomaly Detection Face Recognition +1

Demographic Fairness in Face Identification: The Watchlist Imbalance Effect

no code implementations15 Jun 2021 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 image is compared against up to all stored reference images to reach a biometric decision.

Face Identification Face Recognition +1

Demographic Fairness in Biometric Systems: What do the Experts say?

no code implementations31 May 2021 Christian Rathgeb, Pawel Drozdowski, Naser Damer, Dinusha C. Frings, Christoph Busch

This work summarises opinions of experts and findings of said events on the topic of demographic fairness in biometric systems including several important aspects such as the developments of evaluation metrics and standards as well as related issues, e. g. the need for transparency and explainability in biometric systems or legal and ethical issues.

Fairness Management

Impact of Facial Tattoos and Paintings on Face Recognition Systems

no code implementations17 Mar 2021 Mathias Ibsen, Christian Rathgeb, Thomas Fink, Pawel Drozdowski, Christoph Busch

In this work, we investigate the impact that facial tattoos and paintings have on current face recognition systems.

Face Recognition

Effects of Image Compression on Face Image Manipulation Detection: A Case Study on Facial Retouching

no code implementations5 Mar 2021 Christian Rathgeb, Kevin Bernardo, Nathania E. Haryanto, Christoph Busch

Results obtained from challenging cross-database experiments in which the analyzed retouching technique is unknown during training yield interesting findings: (1) most competitive detection performance is achieved for differential scenarios employing deep face representations; (2) image compression severely impacts the performance of face image manipulation detection schemes based on texture descriptors while methods utilizing deep face representations are found to be highly robust; (3) in some cases, the application of image compression might as well improve detection performance.

Image Compression Image Manipulation +1

Signal-level Fusion for Indexing and Retrieval of Facial Biometric Data

no code implementations5 Mar 2021 Pawel Drozdowski, Fabian Stockhardt, Christian Rathgeb, Christoph Busch

The growing scope, scale, and number of biometric deployments around the world emphasise the need for research into technologies facilitating efficient and reliable biometric identification queries.

Mobile Touchless Fingerprint Recognition: Implementation, Performance and Usability Aspects

1 code implementation4 Mar 2021 Jannis Priesnitz, Rolf Huesmann, Christian Rathgeb, Nicolas Buchmann, Christoph Busch

We provide a comprehensive description of the entire recognition pipeline and discuss important requirements for a fully automated capturing system.

Deep Face Fuzzy Vault: Implementation and Performance

no code implementations4 Feb 2021 Christian Rathgeb, Johannes Merkle, Johanna Scholz, Benjamin Tams, Vanessa Nesterowicz

As part of said feature transformation, a detailed analysis of different feature quantisation and binarisation techniques is conducted.

Face Recognition Management +1

Face Image Quality Assessment: A Literature Survey

no code implementations2 Sep 2020 Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch

The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors.

Face Recognition Image Quality Assessment

Deep Learning-based Single Image Face Depth Data Enhancement

no code implementations19 Jun 2020 Torsten Schlett, Christian Rathgeb, Christoph Busch

All tested enhancer types exclusively use depth data as input, which differs from methods that enhance depth based on additional input data such as visible light color images.

Face Recognition

Detection of Makeup Presentation Attacks based on Deep Face Representations

no code implementations9 Jun 2020 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.

Face Recognition Facial Makeup Transfer

Deep Face Representations for Differential Morphing Attack Detection

no code implementations5 Jan 2020 Ulrich Scherhag, Christian Rathgeb, Johannes Merkle, Christoph Busch

In addition, the application of deep face representations for differential morphing attack detection algorithms is investigated.

Cryptography and Security

Sex-Prediction from Periocular Images across Multiple Sensors and Spectra

no code implementations1 May 2019 Juan Tapia, Christian Rathgeb, Christoph Busch

In this paper, we provide a comprehensive analysis of periocular-based sex-prediction (commonly referred to as gender classification) using state-of-the-art machine learning techniques.

Classification General Classification

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