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Machine Vision
TUM Department of Informatics
Technical University of Munich

Technical University of Munich

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Professorship for Machine Vision

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de


Welcome to the Professorship for

Machine Vision

Machine Vision is an interdisciplinary field of research and engineering at the intersection of informatics, mathematics, physics, and electrical and mechanical engineering. It is used in dozens of application areas whenever there is a need to automate processes. Our research focuses on developing new methods that are suitable for the machine vision industry and on extending research results in such a way that the meet the stringent demands of the machine vision industry, e.g., with respect to robustness, accuracy, precision, and real-time capability. Application areas include alignment, metrology, inspection, identification, object recognition, and robot vision for industrial robots.

Research areas include modeling and calibration of imaging sensors, close-range photogrammetry, 3D reconstruction, 2D and 3D object detection, 6-DoF object pose estimation, deep learning, anomaly detection, and optical character recognition.

Professor Carsten Steger is an honorary professor at TUM's Department of Informatics. He works as the head of the Research Department at MVTec Software GmbH. Therefore, our research is conducted primarily at MVTec. If you are interested in working for MVTec, please consult MVTec's vacancies. If you are interested in doing your Bachelor's or Master's thesis at our group, please apply for the position “Masterarbeit / Bachelorarbeit Informatik / industrielle Bildverarbeitung” on MVTec's job portal. If you are interested in working as a student for MVTec, please apply for the position “Werkstudent Informatik / industrielle Bildverarbeitung (m/w/d).”

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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Professorship for Machine Vision

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de