Computer Vision and Biometrics

CHAIR: DMB (Data Management and Biometrics)

Introduction

Computer Vision includes methods for acquiring, processing, analysis of, and understanding images or image sequences from the real world in order to obtain information, e.g., in the form of decisions. It basically is the combination of Image Processing and Pattern Recognition. Biometrics deals with the recognition of persons based on physiological characteristics, such as face, fingerprint, vascular pattern or iris, and behavioural traits, such as gait or speech. It combines Computer Vision with knowledge of human physiology and behaviour.

In the Biometric Pattern Recognition LAB of the Data Management and Biometrics group, we research Computer Vision and Biometrics and their applications. The research of the group is both fundamental and application oriented; we develop new theoretical concepts, such as new methods for combining classifiers (fusion), as well as technology for practical applications, like sensors to visualise vein patterns in a finger. Current research topics are for example face recognition at a distance, intelligent video surveillance, biometrics for border control, finger vein recognition, 3D face modelling and recognition, deep learning, forensic biometrics and detection of manipulation of photographs or videos. One of our main drivers is to develop explainable methods, not just methods that work, but methods that also contribute to understanding processes. Our research is embedded in the Digital Society Institute.

Programme mentor

Compulsory courses

Safe choices for your electives

Computer Vision & Biometrics has defined a complete programme with preferred courses. Of course you may propose other courses, but the programme below is a safe choice.

Also, there is a capita selecta course:

Website for more information

https://www.utwente.nl/en/eemcs/dmb/