🎓Data-Based Super Resolution of Low-Cost Indirect Time-of-Flight Cameras for 3D Facial Biometric Applications

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Doctoral project at a glance

Despite its higher security, 3D facial recognition is rarely used for authentication. One reason for this is that the acquisition of high-quality 3D data is often too expensive. In order to enable 3D facial authentication, for example at European border controls, ALEXANDRA MIELKEs PhD project deals with which data quality 3D time-of-flight cameras must achieve in order to perform 3D facial authentication, how the data quality can be increased and whether 3D facial authentication is generally possible with time-of-flight cameras.

Doctoral candidate

Supervising professor

Sponsors

This PhD project is supported with a scholarship offered by the Insitute of Safety and Security research and the graduate institute of the Bonn-Rhein-Sieg University of Applied Sciences.