Teaching

• Image analysis and object recognition
• Deep learning for computer vision
• Geodesy
• Geo-spatial monitoring
• Hot topics in computer vision SoSe 23

• Photogrammetric computer vision
• Spatial information systems (GIS)
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 22/23

• Image analysis and object recognition
• Geodesy
• Geo-spatial Monitoring
• Hot topics in computer vision SoSe 22

• Photogrammetric computer vision
• Spatial information systems (GIS)
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 21/22

• Image analysis and object recognition
• Geodesy
• Geo-spatial Monitoring
• Hot topics in computer vision SoSe 21

• Photogrammetric computer vision
• Spatial information systems (GIS)
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 20/21

• Image analysis and object recognition
• Geodesy
• Geo-spatial Monitoring
• Hot topics in computer vision SoSe 20

• Photogrammetric computer vision
• Spatial information systems (GIS)
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 19/20

• Image analysis and object recognition
• Geodesy
• Geo-spatial Monitoring
• Hot topics in computer vision SoSe 19
• Structural Health Monitoring
  

• Photogrammetric computer vision
• Spatial information systems (GIS) / Applied computer science
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 18/19

• Image analysis and object recognition
• Geodesy
• Geo-spatial Monitoring
• Hot topics in computer vision SoSe 18
• Bauhaus summer school

• Photogrammetric computer vision
• Spatial information systems (GIS) / Applied computer science
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 17/18

• Image analysis and object recognition
• Geodesy
• Hot topics in computer vision SoSe 17
• Bauhaus summer school

• Photogrammetric computer vision
• Spatial information systems (GIS) / Applied computer science
• Parallel and distributed systems
• Building stock survey

• Image analysis and object recognition
• Geodesy
• Hot topics in computer vision SoSe 16
• Bauhaus summer school

• Photogrammetric computer vision
• Spatial information systems (GIS) / Applied computer science
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 15/16

• Image analysis and object recognition
• Geodesy
• Hot topics in computer vision SoSe 15
• Bauhaus summer school

• Photogrammetric computer vision
• Spatial information systems (GIS) / Applied computer science
• Parallel and distributed systems
• Building stock survey
• Hot topics in computer vision WiSe 14/15

• Image analysis and object recognition
• Geodesy
• Image-based 3D reconstruction
• Hot topics in computer vision SoSe 14
• Bauhaus summer school

• Photogrammetric computer vision
• Spatial information systems (GIS) / Applied computer science
• Parallel and distributed systems
• Hot topics in computer vision WiSe 13/14

• Image analysis and object recognition
• Spatial information systems (GIS) / Applied computer science
• Hot topics in computer vision SoSe 13

• Photogrammetric computer vision
• Parallel and distributed systems
• Modelling of information systems (lecture series)

If you are interested in writing your thesis in the field of Computer Vision, please send an email to cv.thesis[at]medien.uni-weimar.de. In the email you should indicate your skills and interests, which will help us to find the most suitable topic for you. Answering the following questions will provide good guidance:

• What is your motivation to apply for a thesis in Computer Vision?
• What courses in computer vision have you already taken?

Regardless of whether you already have a concrete topic in mind or only rough ideas, you are welcome to share them with us. We encourage you to propose your own thesis ideas. Alternatively, you can get inspiration from the list of currently running and completed topics.

Master's theses

• Raghu Varma Yarakaraju: Finding Image-to-Image Similarities in a Historic Humanities Corpus, SoSe 2022
• Julian Steinhaußen: Deep Learning for Image Registration, SoSe 2022
• El Mehdi Essadki: A Framework for Guided 3D Point Cloud Annotation, WiSe 2021/22
• Benjamin Burse: A modular approach towards cost-efficient monitoring based on microcontrollers, SoSe 2021
• Pia Fichtl: Extraction of roof shapes for city models from UAS, SoSe 2021
• Huy Khanh Ha: Real-time multi-view marker-less motion capture of multiple humans, SoSe 2021
• Jan Frederick Eick: Deep learning-based stereo matching for high-resolution images, WiSe 2020/21
• Kai Gerrit Lünsdorf: Deep learning-based camera pose regression for bridge inspection, WiSe 2020/21
• David Tschirschwitz: Deep learning for semantic segmentation – using CycleGAN to detect structural defects with sparse and unlabeled data, WiSe 2020/21
• Srividya Raju: Fusion of convolutional neural network results from pixel-wise image segmentation, WiSe 2020/21
• Michael Ohaya: Classification of crack and non-crack images using convolutional neural networks, SoSe 2019
• Paul Debus: Automatic pathplanning in UAS building survey, SoSe 2018
• Darshan Patel: Real-time obstacle detection and collision avoidance for autonomous UAS navigation, WiSe 2017/18
• Amir Azimian: Image analysis of existing building as a basis for the simulation of virtual cities, SoSe 2017
• Endre Adalar Papp: Unmanned aerial system framework towards semi-autonomous flight and indoor mapping, SoSe 2017
• Asma Naz: Analysis and implementation of image enhancement approaches for 3D reconstruction, WiSe 2016/17
• Felicitas Höbelt: Cross-scale cost aggregation and PatchMatch filter: an improved dense stereo matching method, WiSe 2016/17
• Jingxi Xu: Single image super-resolution via self similarity exploration and steering kernel regression, SoSe 2016
• Tejeswini Kashyappan: Convolutional neural networks for object detection and recognition, SoSe 2016
• Bastian Weber: Implementation and parallelisation of cone-beam computed tomography backprojection on CPU and GPU, SoSe 2016
• Suvratha Narayan Bejai: Automated marker detection and identification, SoSe 2016
• Rashmi Rangaswamaiah: Optical flow for visual odometry, SoSe 2016
• Jenny Carolina Gonzalez Acuna: Real-time object tracking in videos, SoSe 2016
• A. Hamid Sabiri: Image forgery detection – detecting duplicated regions in an image, SoSe 2016
• Pranoy Vijaykumar: Knowledge-based pattern recognition method for crack detection, SoSe 2016
• Markus Kossatz: Visualizing and editing the history of countries in time and space with HistoGlobe, SoSe 2016
• Malik Al-hallak: A vision-based lane detection and tracking system, SoSe 2016
• Martin Horbach: Real-time stereo matching on GPU, SoSe 2016
• Steve Herzog: Quality assurance in structural steel engineering using terrestrial laser scanning, WiSe 2015/16
• Jenis Jetani: Preprocessing methods for CT images, SoSe 2015
• Pavlos Iliopoulos: Automated depth from focus with a DSLR camera, SoSe 2015
• Christian Baar: 3D motion analysis of athletes in real conditions, SoSe 2015
• Bastian Karge: Structure-from-Motion: 3D reconstruction on mobile devices, WiSe 2014/15

Bachelor's theses

• Florian Dietz: Comparison of acquisition techniques for the geometric as-build survey of an existing highway bridge, WiSe 2022/23
• Martin Tippmann: Retrieval of 3D Point Cloud Submaps from 2D Query Images, WiSe 2022/23
• Gissu Valentina Naghavi: Geometric calibration of RGB and thermal imaging cameras to generate a multispectral data set, SoSe 2022
• Klaus Kraemer: Development of an approach for the determination of window areas in urban district models using image recognition methods, WiSe 2021/22
• Jonas Linß: Drone Flight Path Planning - Viewpoint Calculation With UV Texture Unwrapping, WiSe 2021/22
  
• Marie Lücke: Measurement data based evaluation of structures susceptible to stress corrosion cracking, SoSe 2021
• Nhu Quang Dang: Methods of geometric light source calibration, SoSe 2021
• Philipp Tornow: Unsupervised object extraction for semantic segmentation of bridge scenes, SoSe 2021
• Charlotte Marx: Comparison of acquisition methods in historic preservation inventory documentation, SoSe 2020
• Theresa Wenig: Determination of component deformations with optical flow methods, SoSe 2020
• Florian Madeya: Image-based 3D reconstruction as an animation method, WiSe 2017/18
• Frederic Gaillard: Sensor fusion with extended Kalman filter for UAS navigation, SoSe 2017
• Stefan Müller: Possibilities of virtual reconstruction, SoSe 2016
• Kai Gerrit Lünsdorf: On the accuracy of the Hokuyo UST-20LX for use on unmanned aerial systems, SoSe 2016
• Stefan Müller: Possibilities of virtual reconstruction, SoSe 2016
• Hagen Hiller: Stereo-based real-time obstacle detection for unmanned aerial systems, WiSe 2015/16
• Veronika Haaf: Image analysis for detection and measurement of concrete cracks, SoSe 2015
• Adrian Teschendorf: Analysis of influencing factors for image-based 3D reconstruction, SoSe 2015
• Mischa Linus Krempel: Design and implementation of memory-efficient stereo matching algorithms, SoSe 2014
• Julius Bullinger: Building monitoring with networked heterogeneous sensor architectures, SoSe 2014
• Stefanie Riegg: Investigation of deformations of planar and irregular point clouds, SoSe 2014
• Eugen Müller: Automatic image analysis for crack detection on concrete surfaces, SoSe 2014
• Andreas Aicher: Comparative analysis of measurement series of different measurement systems for the determination of vertical structural deformations for structural safety evaluations, 2014
• Michael Wachtmann: Investigations on the quality of freely available geodata, WiSe 2013/14
• Max Patzelt: Investigations into the performance potential of close-range scanners using reconstruction as an example, 2013