Bachelor & Master Theses - Visual Computing Group

Students studying Media Informatics, Computer Science, Software Engineering or Cognitive Systems are very welcome to do their final thesis project (Bachelor or Master) with us. If you are interested, we recommend that you contact one of the research group staff.

Topic Selection

We always offer interesting topics in the areas of computer graphics, visualization, virtual reality and game programming. Students can either work on one of our currently open topics or develop a topic together with one of the research group staff, also on the basis of own ideas. The topics can have a practical as well as theoretical focus, while explorative user studies are also possible. Below you can find a list of already completed topics to give you an idea of the topic spectrum.

Thesis Process

The work on a final thesis project can be divided into three phases:

  1. In the planning phase, the student acquaints himself with the subject and plans the thesis work together with the supervisor. The result of this phase is a 1-2-page document containing a work plan as well as the objectives of the work.
  2. In the implementation phase, the objectives developed in the planning phase are realized. This phase usually takes up the majority of the entire time.
  3. In the writing phase, the student writes the actual thesis, which describes the topic in the context of related work, and discusses the implementation as well as the results obtained. This can be done in German or English.

In all three phases, the student is in close contact with the supervisor, discussing the current progress and potentially occuring problems.

Thesis Templates

Here you can find Latex templates for writing a thesis with our group.

Previous Thesis Topics

Here you can find a list of completed Bachelor and Master theses.

Christian van Onzenoodt:
Evaluating the Perceptual Influence of Shape Overlap in Multiclass Scatterplots,
Master, 2017.
Imran Mehmood:
Interactive Visual Trend Analysis of TVCG Articles,
Master, 2017.
Philipp Henzler:
Reconstructing 3D Volumes from 2D X-Rays Using Deep Learning,
Master, 2017. (mitwith University College London)
Andreas Schmid:
Radar Data Visualization to Enhance Scene Comprehension,
Master, 2017. (mitwith Daimler AG)
Sebastian Hartwig:
Deriving Parallax Environment Maps from Panorama Cameras,
Master, 2017. (mitwith Immersight GmbH)
Linus Kramer:
Undistortion of Images behind Refracting Geometry,
Bachelor, 2017.
Dennis Baudach:
Near-Infrared Colorization Using Color Classes,
Master, 2017. (mitwith Daimler AG)
Alex Bäuerle:
Bone Implant Visualization,
Master, 2017.
Mark Leznik:
Luminance Estimation of Colorized Near-Infrared Images,
Master, 2017. (mitwith Daimler AG)
Charlotte Gloger:
Formalizing Visual Representations of Spatial Data using Symbolic Regression,
Diplom, 2016.
Marius Kircher:
God Rays und Volumetrische Lichtstreuung,
Bachelor, 2016.
Julian Kreiser:
Interactive Shadow Based Surface Acquisition,
Master, 2016.
Dominik Engel:
RoboddrViz - A Visualization of Robot Motion Paths and the corresponding Program Logic in an automatically 3D-Reconsturcted Environment,
Bachelor, 2016. (mitwith Daimler TSS)
Jan Malzahn:
Visualization of Protein Tunnels Exploiting Cylindrical Projections,
Diplom, 2016.
Manuel Renz:
Radarvisualisierung in der Fahrzeugnavigation,
Master, 2016. (mitwith Daimler AG)
Lucas Heer:
Generierung von Mosaikbildern mit Fokusdarstellung aus Bildersammlungen,
Bachelor, 2016.
Dominique Heer:
Influence of Stereoscopic Rendering on the Perception of Aggregations in Scatterplots,
Bachelor, 2016.
Andreas Köll:
Evaluation of Multiple Sensory Stimuli in Virtual Meditation Environments,
Master, 2016.