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Foto: Bodo Kremmin / LUH
Here you will find the current topics that are offered for student work (study, bachelor, master and / or diploma theses) at the IMR. For more detailed information on the individual topics, please speak to the respective contact person.
Production Measurement and Testing Technology
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Point Cloud Registration of Complex Geometries Using Laser Speckle in Endoscopic Fringe Projection
Motivation & Aim of the Project
A combination of different individual measurements (stitching) is essential for the high-precision, endoscopic reconstruction of complex geometries. The robust and precise alignment (registration) of all measurements to one another represents a demanding technical problem. In the context of a master’s thesis, the corresponding point clouds are to be registered by feature matching of homologous image points in adjacent, overlapping image pairs. In a previous student work, an experimental set-up was developed for this purpose, which is now to be supplemented by the projection of external features using laser speckle. In order to compensate for drift effects through serial registration, the entirety of all rigid body transformations should then be improved through a pose graph optimization.
Link to Full Description
Contact Person
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Dr.-Ing. Lennart HinzResearch Staff
PhoneAddressAn der Universität 1
30823 GarbsenBuildingRoom![]()
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Dr.-Ing. Lennart HinzResearch Staff
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Development of a Fluid-Optical, Focus-Variable 3D Endoscope
Motivation & Aim of the Project
A major technological limit in the use of fiber optic 3D endoscopes is given by the depth of field. In particular, the micro-optics used in conjunction with short working distances and narrow apertures severely limit the reconstructable measuring range. The IMR is therefore also researching the endoscopic use of fluid-optical, adjustable optics. As part of a master’s thesis, an adapted sensor is to be created and evaluated based on existing optical designs, circuit boards, circuits, etc. For this purpose, it is particularly important to adapt the calibration process and to interpolate a camera parameter set for each focus position and to assign it to a common coordinate system. This novel, focus-adaptive triangulation sensor will then be evaluated using suitable experiments.
Link to Full Description
Contact Person
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Dr.-Ing. Lennart HinzResearch Staff
PhoneAddressAn der Universität 1
30823 GarbsenBuildingRoom![]()
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Dr.-Ing. Lennart HinzResearch Staff
Phone
Industrial and Medical Imaging
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Machine Learning Based Image Registration with Fully Convolution Networks
Motivation & Aim of the Project
The aim of this work is the further development of machine learning-based image registration. For this, the existing implementation z. B. can be expanded and improved by a fully convolutional implementation. Additional network architectures such as Pyramid Networks or Spatial Transformer Networks are to be implemented and examined. The background is that, as with a panorama photo, several microscope images are combined to form an overall image in order to be able to evaluate and characterize a larger area. It is essential that the assembly errors are as small as possible.
In this project, aspects of image processing, surface measurement technology and machine learning are important. Basic knowledge in these areas and programming (with Python) in general is recommended.
Link to Full Description
Contact Person
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Stefan Siemens, M. Sc.Research Staff
PhoneFaxAddressAn der Universität 1
30823 GarbsenBuildingRoom![]()
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Stefan Siemens, M. Sc.Research Staff
Control Technology
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No student theses are currently offered in the field of control engineering.
In the field of production measurement and control technology, no student theses are currently offered.
Acoustics
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In the field of acoustics, no student theses are currently offered.
In the field of production measurement and control technology, no student theses are currently offered.
Supervision of External Project
The topic of the student thesis must match the current research focus of the institute (control engineering, acoustics, robotics, optical measurement technology, image processing) and meet sufficient scientific requirements.
For the supervision of a master’s thesis, we expect that you have previously written a very good student thesis at the IMR or that you have successfully worked as a research assistant at the IMR.
For the supervision of a bachelor thesis / student research thesis, we expect that you can show good to very good results in the IMR lectures and / or have successfully worked as a research assistant at the IMR.
Identify the IMR working group that is technically appropriate for your topic.
Contact the respective leader of the selected working group. In your request, summarize the key points of your work (company, general topic). Also state the extent to which you meet the requirements of the IMR.
The group leader will check your documents and give you feedback on possible support. In addition, the group leader will prepare a scientific article, which should be summarized in preparation for the conversation. This serves to ensure the scientific quality of the work.
In consultation with the external institution, prepare a detailed draft assignment and a schedule for carrying out the work.
Make an appointment for a preliminary talk accompanied by your external supervisor, for which you will work out a detailed task and the schedule and bring with you.
The topic must be presented as part of the preliminary talk so that it can be ensured that the task meets the scientific requirements in accordance with the examination regulations.
A presentation of the scope and progress of work at the IMR is planned for half of the processing period. A final presentation is expected at the end of the work.
