Goals: 

Our goal is with image and signal analysis methods to contribute to the solution of recognition problems which are relevant to the human visual system and to the human comfort.  

We have been addressing the following issues: 

Orientation and frequency description of still and video images for general purposes, 
Decompositions based on Gabor filters, 
Dense orientation maps, 
Interpretation and modelling of dense orientation maps via differential operators (e.g. tensors, Lie groups), modelling dense symmetry fields. 

We have been using our results in the following applications: 

Biometric person authentication by audio and video, face recognition, fingerprint recognition
Content based multi-media data base queries 
Unsupervised image segmentation, and texture analysis 

Projects: 

• Biometric Person Authentication: Face, fingerprint, lip movements,  and speech
  
• EU Network of excellence: BIOSECURE
• Image content query and retrieval for proteomics
• OCR for modification based scripts: Ethiopian

Past projects

• Content Based retrieval for Image Databases
• OCR for modification based scripts:<> Sinhala

Courses: 

• Image analysis I 
• Image analysis II 

Members:

• Yaregal Assabie,  PhD student
• Josef Bigun,  professor
• Hartwig Fronthaler,  Assistant
• Assefa Dagne,  PhD student
• Maycel Faraj,  PhD student
  
• Klaus Kollreider,  Assistant
• Kenneth Nilsson, associate professor
• Martin Persson,  PhD student 
• Dereje Teferi,  PhD student

Former Members:

• Håkan Eriksson
• Patrik Nilsson
• Claus-Dieter Peschke
• Dr. Lalith Premaratne
• Dr. Fabrizio Smeraldi
• Heike Walter

Publications about us:

• New Scientist,  
• Metro (Stockholm), 
• Carpe Scientam,