Wir suchen ständig interessierte Studenten für Bachelor- und Masterarbeiten, als Hiwis oder für andere Forschungsarbeiten in unseren Forschungsgebieten. Bitte schreiben Sie eine Email an Prof. Deussen und machen sie ein Treffen aus. 

Für das Sommersemester 2023 wird es am Do, den 13.04 um 13:30 eine Vorstellung der aktuellen Projekte im Rahmen des Seminars geben.

Exzellenzcluster Collective Behaviour

Unsere Gruppe ist Teil des neuen Exzellenzclusters der Universität Konstanz "Centre for the Advanced Study of Collective Behaviour" (https://www.exc.uni-konstanz.de/collective-behaviour/), einer interdisziplinären Initiative zur Erforschung des kollektiven Verhaltens zwischen der Universität Konstanz und dem Max-Planck-Institut für Verhaltensbiologie.

Hier bieten wir Bachelor- und Masterarbeiten (sowie HiWi-Jobs) in den folgenden Bereichen an:
- 3D-Rekonstruktion und Objektklassifizierung mit Fokus auf Unterwasser-Ökosysteme
- Vereinfachung von Trajektorien aus Bewegungsdaten
- Einsatz von maschinellem Lernen zur Verfolgung von Identitäten in Bewegungsdaten

Dies ist keine vollständige Liste, sondern soll Ihnen einen Überblick über die Themen innerhalb dieses Clusters geben. Wenn Sie daran interessiert sind, in einem dieser Themenbereiche in einer interdisziplinären Gruppe zu arbeiten, schreiben Sie bitte eine E-Mail an oliver.deussen@uni-konstanz.de

Building a VR cylindrical projection

Bachelor/Master

For this project you will:

  • Work with the hardware to setup cylindrical projections
  • Create the initial implementation for a collaborative enviroment (e.g. eating, playing)

Contact: Oliver Deussen

Simulating the behavior of flocks

Bachelor/Master

For this project you will:

  • Provided localization in the environment and neighbors, agents to perform collective behavior through a decentralized, distributed system
  • You will implement the Boids flocking algorithm to control agents. Either using robots with camera in lab or by simulation with Unity3D
  • Implement 3 basic rules: Cohesion, Separation, Alignment, (Maybe additionally: dynamic target/goals and obstacle avoidance)

Contact: Carlos Pinheiro 

Visualization: Color selection for Euler Diagrams

Bachelor / Master

Euler Diagrams can be created automatically, but assigning colors to sets is only little researched.

For this project you will:

  • Improve upon the random assignment of colors for the individual set representations

If you are interested in Euler diagram visualizations,
please contact: Patrick Paetzold 

Visualization: spEuler integration of datapoints

Bachelor / Master

We can use Euler diagrams to visualize complex relationships between sets. One such technique to visualize these Euler diagrams is spEuler.
However, it is also interesting to visualize individual datapoints, such as images or text directly in the Euler diagram.

For this project you will:

  • Fill the shape of Euler diagrams with individual objects, such as words or images
  • Use preexisting algorithms, such as Wordle or ShapeWordle

If you are interested in Euler diagram visualizations,
please contact: Rebecca Kehlbeck

Visualization: Frontiers of hallucination

Bachelor / Master

For this project you will:

  • Build interface to investigate the border cases of hallucinating objects using Dall-E.
  • Mask parts of an image and insert individual objects via text prompt (inpaiting) and compare the results across different domains

If you are interested,
please contact: Rebecca Kehlbeck

Computer Graphics: Procedural distribution of vegetation

Bachelor / Master

For creating realistic landscapes, it is necessary to model natural vegetation distributions correctly.

For this project you will:

  • Determining planting patterns in different landscape types
  • Identify factors that influence these patterns
  • Define rules for those patterns

If you are interested,
please contact: Till Niese

Computer Graphics: LoD - Abstraction of large ecosystems

Bachelor / Master

Interactively rendering large ecosystems is not trivial and offers different research areas.

For this project you will:

  • Representing the ecosystem not through geometry but by using limited metadata describing the individual plants
  • Create spatial clusters based on these metadata
  • The generation of suitable representations for the identified clusters

If you are interested,
please contact: Till Niese

Visualization: Reduce uncertainty in parallel coordinates

Bachelor / Master

The Gestalt principle of continuity can lead to false perceptions by users, it is also prevalent in parallel coordinates.

For this project you will:

  • Remove as much of this uncertainty as possible
  • Use a variety of approaches such as pattern recognition, interaction, etc. to produce low uncertainty visualizations

If you are interested,
please contact: Yumeng Xue  

Visualization: Interactive exploration over large-scale time series data

Bachelor / Master

Large-scale time series data poses challenges to user interaction exploration, such as the real-time availability of interactions, and the degree of freedom of interaction.

For this project you will:

  • Implement queries on the time series by free-sketching, find a subset that matches the sketch, and apply the queried data to the rendering enhancement
  • For example if the user queries for line bundles that are not present in the initial rendering (low density, but still exist in the data), you should improve the rendering results by presenting this trend in the graph
  • Your query should be as real-time as possible

If you are interested,
please contact: Yumeng Xue  

e-David Painting Robot

Various Projects available

The e-David painting robot is under ongoing development and both its works and the machine are frequently exhibited in prominent locations. In order to further the development of the machine several topics can be addressed in a Bachelor's or Master's thesis:

  • Implementation of new painting processes, based on our feedback mechanism.
  • Robotic brush and paint handling for optimizing tool use during the painting process.
  • Hardware and driver development for new robots, to allow their use as e-David machines.
  • Exploring the applicability of machine learning techniques to generate painting commands for the robot.

Some of these projects can involve working with hardware and electronics. Others are mostly about graphics and image processing. The focus of your thesis can be set based upon your interests in these topics.

If you are interested in art, robotics and the real world implementation of computer graphics techniques, please contact Marvin Gülzow.

Planned Projects:

  1. Generative painting: You will implement a generative model which can produce variations of an object, like a tree, a flower or some other category. The model should output both a visualization as well as strokes, which make use of brush dynamics in order to represent the object. It should be possible to parametrize the size, rotation and other parameters, to compose an entire painting of several generated objects.
  2. Automatic Brush Calibration: Despite the robot being a precise machine, brush deformation causes significant errors in stroke placement. Two potential methods exist for compensating this: First, you could consturct a device for optical inspection of the brush, where the robot presents the current brush and your device measures the tool tip offset. Second, you could implement a method which paints certain calibration patterns, which are recorded by the visual system and are then used to compute a prediction model for brush behaviour at varying angles and pressure levels.
  3. Automatic Color Mixing: In order to realize paintings, a human artist mixes available colors to obtain a desired new tone. In this project you will use visual feedback to measure provided colors, construct a palette system in which to mix pigments automatically and finally implement a method which allows the robot to predict mixing results or to experimentally mix until a desired tone has been achieved.