26 citations · 28 across the 6 of their papers we have counts for
7 papers
Optimizing Image Preparation and Compression for Face Recognition within 1024 Bytes
Paul Andreas, Torsten Schlett, Christoph Busch
ICAO-compliant machine readable travel documents enable automated biometric face verification. The biometric reference is stored on an RFID chip included in form of a JPEG or JPEG…
Fairness measures for biometric quality assessment
André Dörsch, Torsten Schlett, Peter Munch +2
Quality assessment algorithms measure the quality of a captured biometric sample. Since the sample quality strongly affects the recognition performance of a biometric system, it is…
Double Trouble? Impact and Detection of Duplicates in Face Image Datasets
Torsten Schlett, Christian Rathgeb, Juan Tapia +1
Various face image datasets intended for facial biometrics research were created via web-scraping, i.e. the collection of images publicly available on the internet. This work prese…
Considerations on the Evaluation of Biometric Quality Assessment Algorithms
Torsten Schlett, Christian Rathgeb, Juan Tapia +1
Quality assessment algorithms can be used to estimate the utility of a biometric sample for the purpose of biometric recognition. "Error versus Discard Characteristic" (EDC) plots,…
Effect of Lossy Compression Algorithms on Face Image Quality and Recognition
Torsten Schlett, Sebastian Schachner, Christian Rathgeb +2
Lossy face image compression can degrade the image quality and the utility for the purpose of face recognition. This work investigates the effect of lossy image compression on a st…
Face Image Quality Assessment: A Literature Survey
Torsten Schlett, Christian Rathgeb, Olaf Henniger +3
The performance of face analysis and recognition systems depends on the quality of the acquired face data, which is influenced by numerous factors. Automatically assessing the qual…
Deep Learning-based Single Image Face Depth Data Enhancement
Torsten Schlett, Christian Rathgeb, Christoph Busch
Face recognition can benefit from the utilization of depth data captured using low-cost cameras, in particular for presentation attack detection purposes. Depth video output from t…