apl. Prof. Dr. Matthias S. M?ller
Dr. M?ller is a permanent member of the Faculty for Humanities and Cultural Sciences (GuK) at the Otto-Friedrich-University Bamberg.
He also holds a position as Professor for Cartography, GIScience and Remote Sensing at the Berliner Hochschule für Technik.
For a personal meeting in Bamberg and/or a virtual Zoom meeting please contact Dr. M?ller in advance by email (see below).
Research
"Lost Places" is the title of a R&D project at Otto-Friedrich-University in strong cooperation with the Berliner Hochschule für Technik. It deals with the reconstruction of buildings inside and outside in the presentation in a VR/AR (virtual/augmented reality) environment. Therefore selected buildings are photographed first with handheld cameas and with unmaned arial vehicles (UAV) "drone cameras" too. These images are processed using a structure from motion (SfM) algorithm. The resulting 3D object is finally textured with the according imagery and represented as an interactive 3D model.
An example can be explored here; just click inside the image and you will be redirected to the 3D-model. Please be patient and wait for some seconds until the complex model has been loaded into your browser. It represents the "Fleischhalle", Institute of Physical Geography, located in the center of Bamberg, Am Kranen 1.
matthias.moeller(at)uni-bamberg.de
Contact in Berlin
Prof. Dr. Matthias S. M?ller
fon +49 (0)30 4504 5424
Web: prof.bht-berlin.de/moeller
GISCO 2025
Vom 9. bis 10. Juni 2025 findet an der Otto-Friedrich-Universit?t Bamberg das Doktorandenkolloquium GISCO 2025 (GIScience Conference) statt. Hier stellen die Doktoranden von Prof. M?ller ihre Projekte und den aktuellen Stand ihrer Forschungsarbeiten im Rahmen einer wissenschaftlichen Konferenz einem interessierten Fachpublikum vor. Die Vortragenden sind:
Prof. Dr. Aurelie Davranche, Professorin an der Universit?t Angers und als Gast zur Besuch in Bamberg über Erasmus.
Ma Sc Anna Louis Hohmann: “Toward a Common Data Environment: Enhancing GIS-BIM/CAD Interoperability in Infrastructure Projects(215.6 KB)”.
Ma Sc Gulam Mohiuddin: “Urban Heat and Green Spaces: A Novel Land Surface Temperature (LST) -Based Framework(1.9 MB)”.
Ma Sc Lukasz Rojek: “PLANTSENS - A rail-based multi-sensor imaging system for redundant water stress detection and automated irrigation in greenhouses(1.7 MB)”.
Ma Sc Hassan Tagharobi: PWGram - Datenbasierte Untersuchung von Stressfaktoren für(1.1 MB)
Pflanzen anhand Fernerkundungsmethoden: Ein Multisensor-Messsystem zur berührungslosen(1.1 MB)
Bestimmung von Stressfaktoren(1.1 MB)".
Ma Sc Sebastian Urbanek: “Virtual 3D-Reconstruction of Lost Places with Computer Vision(3.7 MB)”.
Die wissenschaftlichen Arbeiten und Beitr?ge zur GISCO 2025 sind jeweils als Poster über den Link abrufbar.
GISCO 2022
Hier finden Interessierte Informationen über die GISCO 2022, die an der Otto-Friedrich-Universit?t Bamberg im Mai 2022 stattgefunden hat.