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Prof. Dr. Markus Ulrich

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Markus Ulrich studied Geodesy at the Technical University of Munich (TUM), where he also received his doctorate at the Department of Photogrammetry and Remote Sensing in 2003. Subsequently, he joined the Research and Development department at MVTec Software GmbH as a software engineer, and became head of the research team in 2008. From 2005 to 2020, he was also a guest lecturer at TUM, where he taught close-range photogrammetry, and from 2013 to 2020, he was a guest lecturer at the Karlsruhe Institute of Technology (KIT), where he taught machine vision. In 2017, he completed his habilitation and was appointed a Privatdozent (lecturer) at the KIT department of Civil Engineering, Geo and Environmental Sciences. Since 2020, he has been professor of Machine Vision Metrology at the Institute of Photogrammetry and Remote Sensing at the KIT. His research areas include machine vision, close-range photogrammetry, image processing, machine learning, and their applications in industry.

Research Keywords & Expertise

Computer Vision
machine learning
Machine Vision
Photogrammetry
Robotics and computer ...

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24%
Machine Vision
15%
machine learning
5%
Photogrammetry

Short Biography

Markus Ulrich studied Geodesy at the Technical University of Munich (TUM), where he also received his doctorate at the Department of Photogrammetry and Remote Sensing in 2003. Subsequently, he joined the Research and Development department at MVTec Software GmbH as a software engineer, and became head of the research team in 2008. From 2005 to 2020, he was also a guest lecturer at TUM, where he taught close-range photogrammetry, and from 2013 to 2020, he was a guest lecturer at the Karlsruhe Institute of Technology (KIT), where he taught machine vision. In 2017, he completed his habilitation and was appointed a Privatdozent (lecturer) at the KIT department of Civil Engineering, Geo and Environmental Sciences. Since 2020, he has been professor of Machine Vision Metrology at the Institute of Photogrammetry and Remote Sensing at the KIT. His research areas include machine vision, close-range photogrammetry, image processing, machine learning, and their applications in industry.