TY  - JOUR
U1  - Wissenschaftlicher Artikel
A1  - Blümel, Florian Erwin
A1  - Schulz, Mathias
A1  - Breithaupt, Ralph
A1  - Jung, Norbert
A1  - Lange, Robert
T1  - Enhancing Resilience in Biometric Research: Generation of 3D Synthetic Face Data Using Advanced 3D Character Creation Techniques from High-Fidelity Video Games and Animation
JF  - Sensors
N2  - Biometric authentication plays a vital role in various everyday applications with increasing demands for reliability and security. However, the use of real biometric data for research raises privacy concerns and data scarcity issues. A promising approach using synthetic biometric data to address the resulting unbalanced representation and bias, as well as the limited availability of diverse datasets for the development and evaluation of biometric systems, has emerged. Methods for a parameterized generation of highly realistic synthetic data are emerging and the necessary quality metrics to prove that synthetic data can compare to real data are open research tasks. The generation of 3D synthetic face data using game engines’ capabilities of generating varied realistic virtual characters is explored as a possible alternative for generating synthetic face data while maintaining reproducibility and ground truth, as opposed to other creation methods. While synthetic data offer several benefits, including improved resilience against data privacy concerns, the limitations and challenges associated with their usage are addressed. Our work shows concurrent behavior in comparing semi-synthetic data as a digital representation of a real identity with their real datasets. Despite slight asymmetrical performance in comparison with a larger database of real samples, a promising performance in face data authentication is shown, which lays the foundation for further investigations with digital avatars and the creation and analysis of fully synthetic data. Future directions for improving synthetic biometric data generation and their impact on advancing biometrics research are discussed.
KW  - diversity
KW  - synthetic biometric data
KW  - face data
KW  - face biometrics
KW  - realism
KW  - resilience
KW  - avatars
Y1  - 2024
UN  - https://nbn-resolving.org/urn:nbn:de:hbz:1044-opus-82894
SN  - 1424-8220
SS  - 1424-8220
U6  - https://doi.org/10.3390/s24092750
DO  - https://doi.org/10.3390/s24092750
PM  - 38732856
VL  - 24
IS  - 9
SP  - 11
S1  - 11
PB  - MDPI
CY  - Basel
ER  -