Organizers: Andreas Weinmann, Technische Hochschule Würzburg-Schweinfurt, Ignaz-Schön-Straße 11, 97421 Schweinfurt
Jürgen Frikel, OTH Regensburg, Prüfeninger Str. 58, 93049 Regensburg
Email: andreas.weinmann@thws.de, juergen.frikel@oth-regensburg.de
The fields of imaging and computer vision are rapidly evolving and play a central role in applications such as medical imaging, nondestructive testing, and industrial inspection. With the emergence of new sensing technologies and data-driven approaches, the interplay between model-based methods and learning-based techniques is becoming increasingly important. While classical approaches remain fundamental, advances in machine and deep learning and computer vision offer new perspectives for addressing complex reconstruction and interpretation tasks.
This session aims to cover the full spectrum from modeling to applications, including topics such as deep learning for imaging, multimodal data fusion, feature extraction, and application-driven solutions.
By bringing together researchers from different communities, the session seeks to foster interdisciplinary exchange and highlight connections between theory, methodology, and real-world applications.