MaLargeScaleSLAM

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Master thesis: Real-time large-scale SLAM from RGB-D data

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.

Requirements:

  • Very good C++ skills
  • Familiarity with basic computer vision concepts
  • Practical experience in implementing computer vision or image processing algorithms
  • Good skills in OpenGL and OpenCL or CUDA

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ProjectForm
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.
Student:  
Director:  
Supervisor: Alexander Ladikos
Type: Master Thesis
Area:  
Status: draft
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Finish:  
Thesis (optional):  
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Edit | Attach | Refresh | Diffs | More | Revision r1.2 - 02 Aug 2013 - 10:25 - AlexanderLadikos