You will extend an existing RGB-D reconstruction system to support large-scale scenes. In a first step you will evaluate and implement state-of-the-art algorithms for tracking and reconstruction from RGB-D data. Secondly, you will also evaluate and implement algorithms for texturing the obtained reconstruction from camera images. The real-time critical components will be implemented on a GPU.
This project will be carried out in collaboration between the Chair for Computer Aided Medical Procedures and ImFusion GmbH. Further information about the company can be found at http://www.imfusion.de. The candidate will work at the ImFusion offices in Munich.
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Title: | Real-time large-scale SLAM from RGB-D data |
Abstract: | You will extend an existing RGB-D reconstruction system to support large-scale scenes. In a first step you will evaluate and implement state-of-the-art algorithms for tracking and reconstruction from RGB-D data. Secondly, you will also evaluate and implement algorithms for texturing the obtained reconstruction from camera images. The real-time critical components will be implemented on a GPU. |
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Supervisor: | Alexander Ladikos |
Type: | Master Thesis |
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Status: | draft |
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