See Specialisations

Computer Vision and Biometrics

CHAIR: DS

Introduction

Computer Vision includes methods for acquiring, processing, analysis of, and understanding images or image sequences from the real world in order to produce information, e.g., in the form of decisions. It is the combination of Image Processing and Statistical 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 Science 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, as well as technology for practical applications. 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

dr.ir. L.J. Spreeuwers (Luuk)
Assistant Professor

Compulsory courses

Code

Course

Study load (EC)

Quarter

201600070

Basic Machine Learning

5

1A

201500040

Introduction to Biometrics 3TU

5

1B

201900007

Perspectives on Engineering Design

2,5

1B

201100137

Philosophy of Engineering: Ethics

2,5

1B

191210910

Image Processing and Computer Vision

5

2A

201100254

Advanced Computer Vision and Pattern Recognition

5

2B

Electives

The following courses may be interesting electives for students of this specialisation:

Code

Q1A:

EC

201600076

Foundations of Information Retrieval

10

191506103

Statistics and Probability

5

201600074

Natural Language Processing

5

Q1B:

201600071

Advanced Machine Learning

5

201800177

Deep Learning From Theory to Practice

5

191531920

Markov Decision Theory and Algorithmic Methods

5

191531750

Stochastic Processes

6

Q2A:

191551200

Scientific Computing

5

201200135

Random Signals and Filtering

5

201400174

Data Science

5

Q2B:

201500042

Privacy-Enhancing Technologies

5

201800419

201800419 Capita Selecta Computer Vision and Biometrics

2 to 6

Website for more information

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