Bachelor/Master Theses - Image Processing

At the Lehrstuhl für Informatik 6 of the RWTH Aachen University bachelor/master/diploma theses are available in the field of image processing. Our work currently focusses on object recognition in cluttered scenes, image retrieval, optical character recognition, handwriting recognition, face recognition, gesture recognition, and recognition of sign language. Requirements include high interest in the field and the ability to work on yourself on complex problems.

Exemplary subjects include:

• face recognition and analysis of facial expressions
• handwriting recognition of ancient Spanish documents, Arabic handwriting, or French handwriting
• local feature based sign language recognition
• object recognition based on image patches
• special topics in image retrieval

Work is done in C/C++ and python under Linux, thus knowledge in these fields is highly recommended. Also you should definitively have attended the lectures and the lab of the chair. More information can be found on our websites.

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Finished Theses

Below you can find a list bachelor/master/diploma theses finished at our image processing group.

2011

• R. Pyttel. HMM-based OCR for Machine Printed Arabic Text. Master Thesis, Aachen, Germany, February 2011.
  
• P. Doetsch. Optimization of Hidden Markov Models and Neural Networks. Master Thesis, Aachen, Germany, December 2011.
  

2010

• L. Pishchulin. Matching Algorithms for Image Recognition. Master Thesis, Aachen, Germany, January 2010.
  

2009

• S. Jonas. Improved Modeling in Handwriting Recognition. Master Thesis, Aachen, Germany, June 2009.
  

2008

• J. Forster. An Integrated Tracking And Recognition Approach For Video. Master Thesis, Aachen, Germany, May 2008.
  
• T. Gass. Deformations and Discriminative Models for Image Recognition. Master Thesis, Aachen, Germany, July 2008.
  
• T. Weyand. Log-Linear Mixture Models for Patch-Based Object Recognition. Master Thesis, Aachen, Germany, November 2008.
  

2006

• A. Hegerath. Patch-based Object Recognition. Master Thesis, Aachen, Germany, March 2006.
  
• D. Rybach. Appearance-Based Features for Automatic Continuous Sign Language Recognition. Master Thesis, Aachen, Germany, June 2006.
  

2005

• P. Dreuw. Appearance-Based Gesture Recognition. Master Thesis, Aachen, Germany, January 2005.
  

2003

• T. Deselaers. Features for Image Retrieval. Master Thesis, Aachen, Germany, December 2003.
  
• C. Gollan. Nichtlineare Verformungsmodelle für die Bilderkennung. Master Thesis, Aachen, Germany, September 2003.
  
• T. Kölsch. Local Features for Image Classification. Master Thesis, Aachen, Germany, November 2003.
  

2001

• M. Motter. Statistische Modellierung von Bildinhalten für die Bilderkenneung. Master Thesis, Aachen, Germany, December 2001.
  

2000

• D. Keysers. Approaches to Invariant Image Object Recognition. Master Thesis, Aachen, Germany, June 2000.
  
• T. Theiner. Inhaltsbasierter Zugriff auf grosse Bilddatenbanken. Master Thesis, Aachen, Germany, February 2000.
  
• M. O. Güld. Inhaltsbasierter Bildzugriff mittels statistischer Objekterkennung. Master Thesis, Aachen, Germany, July 2000.
  
• R. Perrey. Affin-Invariante Merkmale für die 2D-Bilderkennung. Master Thesis, Aachen, Germany, February 2000.
  

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