Bachelor Theses / Master Theses / IDP / Guided Research
If you are interested in doing a Bachelor Thesis, Master Thesis, Interdisciplinary Project (IDP) or Guided Research in the field of (RGB-D based) 3D Reconstruction, SLAM or Visual Odometry, please feel free to contact me or drop by my office. Depending on the research project, a background in C++ and Computer Vision is usually required.
Summer Semester 2018
Summer Semester 2016
Winter Semester 2015/2016
Summer Semester 2015
Winter Semester 2014/2015
Supervised Student Projects
Shading-based Refinement on Volumetric Signed Distance Functions.
Andreas Seibold, Interdisciplinary Project (IDP), February 2018.
Dynamic 3D Reconstruction using RGB-D Sensors.
Maximilian Staab & Sebastian Soyer, Interdisciplinary Project (IDP), September 2017.
Evaluation of Robust Dense Visual Odometry for RGB-D Cameras in OpenCL.
Josef Brandl, Master's Thesis, March 2017.
Variational Super-resolution Keyframe Fusion.
Nan Liu, Interdisciplinary Project (IDP), March 2017.
Dense Visual-Inertial Odometry.
Michael Grupp, Master's Lab Project, December 2016.
Combining Voxel Hashing and Keyframe Fusion for Efficient Online Surface Re-Integration.
Raphael Schaller, Master's Thesis, November 2016.
Using Plane Priors for 3D Scene Reconstruction on a Mobile Device.
Maksym Dzitsiuk, Master's Thesis, October 2016.
Hierarchical Submap-based Bundle Adjustment for Large-scale RGB-D SLAM.
Markus Herb, Guided Research, April 2016.
Texmap: A Versatile Library for Texture Mapping.
Sebastian Weiss, Student Project (HiWi), September 2015.