Head of the Research Department Augmented Vision

Prof. Dr. Didier Stricker

  • Address (Kaiserslautern)
    Trippstadter Straße 122
    D-67663 Kaiserslautern

Prof. Dr. Didier Stricker


Hammad Tanveer Butt, Mathias Musahl, Manthan Pancholi, Pramod Narasimha Murthy, Maria Alejandra Sanchez Marin, Didier Stricker

In: 22nd International Conference on Information Fusion (Fusion-2019), IEEE. International Conference on Information Fusion (FUSION-2019) July 2-5 Ottawa Ontario Canada IEEE 7/2019.

To the publication
Jason Raphael Rambach, Paul Lesur, Alain Pagani, Didier Stricker

In: Proceedings of. IAPR Conference on Machine Vision Applications (MVA-2019) May 27-31 Tokyo Japan IAPR 2019.

To the publication
Kripasindhu Sarkar, Didier Stricker

In: International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2019) February 19-21 Prague Czech Republic Scitepress 2019.

To the publication


Personal Information

Prof. Dr. Didier Stricker (born 1969) has been Scientific Director and Head of the Augmented Reality Research Unit at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern and Professor of Computer Science at the Technical University of Kaiserslautern since 2008. At TU Kaiserslautern, he also manages the AG Augmented Vision. Didier Stricker studied electrical engineering at the Technical University of Grenoble and at the Technical University of Karlsruhe and graduated from both universities. In 2002 he received his PhD from the Technical University of Darmstadt with the topic: “Computer Vision-based Calibration and Tracking Methods for Augmented Reality Applications”. From 2002 to 2008, Didier Stricker led the “Virtual and Augmented Reality” department of the Fraunhofer Institute for Computer Graphics Research (IGD) in Darmstadt. He acts as an expert for various European and national research organizations.

His scientific focus is virtual and augmented reality, computer vision, human-computer interaction and user recognition.



Personalized Body Sensor Networks with Built-In Intelligence for Real-Time Risk Assessment and Coaching of Ageing workers, in all types of working and living environments

Improper strain on the musculoskeletal system, repetitive movements or an ergonomically uncomfortable posture lead to complaints from many employees. In particular, older employees often suffer from...



Generation of prior knowledge with the help of learning systems for 4D analysis of complex scenes


Artificial intelligence currently influences many areas, including machine vision. For applications in the fields of autonomous systems, medicine and industry there are fundamental...



Networked, Intelligent and Interactive System for Continuous, Perioperative Monitoring and Control of an Irrigation Device, as well as for Functional Monitoring of the Lower Urinary Tactonitoring

Continuous bladder irrigation is the standard after operations on the bladder, prostate, or kidneys to prevent complications caused by blood clots. The irrigation should be monitored constantly, but...



Design and application of an ultra-compact, energy-efficient and reconfigurable camera matrix for spatial analysis

Within the DAKARA project an ultra-compact, energy-efficient and reconfigurable camera matrix is developed. In addition to standard color images, it provides accurate depth information in real-time,...



Light and solar management using active and model-predictively controlled components

The research project LiSA is a broad-based joint project in the area of facade, lighting and control technology. The aim is enabling the most energy-efficient operation of office and administrative...

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz