Torsten Schlett, M.Sc.
Position: Ph.D. Student Member
Office: D19 room 2.02
Email: torsten.schlett -at- h-da.de
Telephone: +49 6151 16 30191
Publications
Journal Articles
- Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, Christoph Busch, “Face Image Quality Assessment: A Literature Survey”, in ACM Computing Surveys (CSUR), 2021.
- Torsten Schlett, Christian Rathgeb, Christoph Busch, “Deep learning-based single image face depth data enhancement”, in Computer Vision and Image Understanding (CVIU), 2021.
Conference Papers
- Torsten Schlett, Christian Rathgeb, Christoph Busch, “Multi-spectral Iris Segmentation in visible Wavelengths”, in Proceedings International Conference on Biometrics (ICB’18), 2018.
- Christian Rathgeb, Torsten Schlett, Nicolas Buchmann, Harald Baier, Christoph Busch, “Multi-sample Compression of Iris Images using High Efficiency Video Coding”, in Proceedings International Conference on Biometrics (ICB’18), 2018.
- Torsten Schlett, Christian Rathgeb, Christoph Busch, “A Binarization Scheme for Face Recognition based on Multi-scale Block Local Binary Patterns”, in Proceedings of the 15th International Conference of the Biometrics Special Interest Group (BIOSIG’16), 2016.
- Dailé Osorio-Roig, Torsten Schlett, Christian Rathgeb, Juan Tapia, Christoph Busch, “Exploring Quality Scores for Workload Reduction in Biometric Identification”, in International Workshop on Biometrics and Forensics (IWBF’22), 2022.
- Torsten Schlett, Christian Rathgeb, Juan Tapia, Christoph Busch, “Evaluating Face Image Quality Score Fusion for Modern Deep Learning Models”, in Proceedings of the 21th International Conference of the Biometrics Special Interest Group (BIOSIG’22), Darmstadt, September 14-16, 2022.
Theses
- M.Sc. “Enhancement of 3D-Data for Face Recognition”, Hochschule Darmstadt, 2019.
- B.Sc. “Multi-spectral Iris Segmentation in visible Wavelengths”, Hochschule Darmstadt, 2017.