Photorealistic Document Anonymization
Description
Automatic extraction and interpretation of information from documents is crucial in many fields, ranging from financial to medical. It streamlines tasks, enhances decision-making, and also improves accessibility for individuals with visual impairments. Visual Document Understanding (VDU) offers a solution by automating this process, making it more efficient and enabling quick retrieval of relevant data.
Details can be found in the following document:
https://www.lms.tf.fau.eu/files/2024/05/Aushang_Fotorealistische_Anonymisierung_von_Dokumenten_en.pdf
Prerequisites
Experience in programming with Python as well as image and video compression is required.
Supervisor
PD Dr.-Ing Jürgen Seiler
juergen.seiler@fau.de
Raum 06.034
Professor
Prof. Dr.-Ing. André Kaup
andre.kaup@fau.de
Raum 06.031