Theses and Research Projects
You must fulfill all requirements of your FPO before applying to a thesis!
Please directly contact a team member of SPARC if you have a particular interest in a project or topic for a thesis. Do not forget to include a transcript of records with all applications!
Please directly contact a team member of SPARC if you have a particular interest in a project or topic for a thesis. Do not forget to include a transcript of records with all applications!
Master theses (30 ECTS):
Description
The objective of this thesis is to develop and evaluate methods for three-dimensional (3D) reconstruction based on stereo images acquired with a stereo endoscope. Such reconstructions are essential for enhanced navigation, visualization, and surgical assistance in minimally invasive procedures. The work includes calibration of the stereo endoscope, development of stereo-matching and depth-estimation algorithms, and generation of accurate 3D surface models. Depending on the thesis type (Bachelor, Master, or Research Project), the focus can range from fundamental implementation to advanced optimization and validation in surgical scenarios.
Tasks
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Calibration of the stereo endoscope: Determination of intrinsic and extrinsic camera parameters. Correction of distortions and alignment of stereo image pairs.
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Stereo image preprocessing: Rectification and illumination normalization. Handling of reflections and challenging endoscopic imaging conditions.
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Depth estimation and stereo reconstruction: Implementation and comparison of stereo matching algorithms (e.g., block matching, semi-global matching, deep-learning-based methods). Generation of dense disparity maps and conversion into 3D point clouds or surface meshes.
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Evaluation and validation: Testing on synthetic datasets and real endoscopic images. Quantitative and qualitative assessment of reconstruction accuracy.
Supervisor:
Dr.-Ing. Christian Kunz
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Surgical Planning and Robotic Cognition Lab
- Email: christian.kunz@fau.de