activity
20202024
most citedAnomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection

37 citations · 60 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2024

LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion

Marcel Grimmer, Christoph Busch

Face morphing attacks pose a severe security threat to face recognition systems, enabling the morphed face image to be verified against multiple identities. To detect such manipula…

cs.CV2024

Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction

Marcel Grimmer, Raymond N. J. Veldhuis, Christoph Busch

The recognition performance of biometric systems strongly depends on the quality of the compared biometric samples. Motivated by the goal of establishing a common understanding of…

cs.CV2023★ 2 cited

EGAIN: Extended GAn INversion

Wassim Kabbani, Marcel Grimmer, Christoph Busch

Generative Adversarial Networks (GANs) have witnessed significant advances in recent years, generating increasingly higher quality images, which are non-distinguishable from real o…

cs.CV2023

NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality

Marcel Grimmer, Christian Rathgeb, Raymond Veldhuis +1

Accurate face recognition systems are increasingly important in sensitive applications like border control or migration management. Therefore, it becomes crucial to quantify the qu…

cs.CV2023★ 1 cited

Pose Impact Estimation on Face Recognition using 3D-Aware Synthetic Data with Application to Quality Assessment

Marcel Grimmer, Christian Rathgeb, Christoph Busch

Evaluating the quality of facial images is essential for operating face recognition systems with sufficient accuracy. The recent advances in face quality standardisation (ISO/IEC C…

cs.CV2022★ 16 cited

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…

cs.CV2022

Time flies by: Analyzing the Impact of Face Ageing on the Recognition Performance with Synthetic Data

Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2

The vast progress in synthetic image synthesis enables the generation of facial images in high resolution and photorealism. In biometric applications, the main motivation for using…

cs.CV2021★ 4 cited

Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors

Marcel Grimmer, Haoyu Zhang, Raghavendra Ramachandra +2

Enabling highly secure applications (such as border crossing) with face recognition requires extensive biometric performance tests through large scale data. However, using real fac…

cs.CV2021

On the Applicability of Synthetic Data for Face Recognition

Haoyu Zhang, Marcel Grimmer, Raghavendra Ramachandra +2

Face verification has come into increasing focus in various applications including the European Entry/Exit System, which integrates face recognition mechanisms. At the same time, t…

cs.CV2020★ 37 cited

Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection

Jascha Kolberg, Marcel Grimmer, Marta Gomez-Barrero +1

In recent years, the popularity of fingerprint-based biometric authentication systems significantly increased. However, together with many advantages, biometric systems are still v…