Benedikt Lorch, M. Sc.
- Organization: Department of Computer Science
- Working group: Chair of Computer Science 1 (IT Security Infrastructures)
- Phone number: +49 9131 85 69918
- Fax number: +49 9131 85 69919
- Email: benedikt.lorch@fau.de
- Address: Martensstr. 3
91058 ErlangenRoom 12.139
I’m a first year PhD candidate in the multimedia security group. My research interests include image forensics, computer vision, and machine learning.
At the moment I don’t have any open projects but if you are interested in a thesis on one of the topics listed above, please don’t hesitate to drop me a note.
Quick links
Recent projects
Forensic investigations often have to contend with extremely low-quality images that can provide critical evidence. Recent work has shown that, although not visually apparent, information can be recovered from such low-resolution and degraded images. We developed a CNN-based approach to decipher the contents of low-quality images of license plates.
Paper | GitHub
PGP
| Key ID | D7994F61EECD8C75 |
| SHA-1 Fingerprint | 1781 F23E FB55 50E6 BA75 ED4E D799 4F61 EECD 8C75 |
| Public Key | ASCII-armored |
Publications
2019
- Lorch, B., Agarwal, S., & Farid, H. (2019). Forensic Reconstruction of Severely Degraded License Plates. In Society for Imaging Science & Technology (Eds.), Electronic Imaging. Burlingame, CA, US.
URL: https://faui1-files.cs.fau.de/public/mmsec/license-plates/ei2019_forensic_reconstruction_of_severely_degraded_license_plates.pdf
2017
- Lorch, B., Vaillant, G., Baumgartner, C., Bai, W., Rueckert, D., & Maier, A. (2017). Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests. Journal of Medical Engineering, 2017. https://dx.doi.org/10.1155/2017/4501647
2015
- Lorch, B., Berger, M., Hornegger, J., & Maier, A. (2015). Projection and Reconstruction-Based Noise Filtering Methods in Cone Beam CT. In Bildverarbeitung für die Medizin 2015 (pp. 59-64). Lübeck.
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Lorch15-PAR.pdf - Mullan, P., Kanzler, C., Lorch, B., Schroeder, L., Winkler, L., Larissa, L.,... Pasluosta, C.F. (2015). Unobtrusive Heart Rate Estimation during Physical Exercise using Photoplethysmographic and Acceleration Data. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBC ’15. Milano.