Biometrics and Machine Learning Group
Latest news
We are pleased to announce that Mateusz Trokielewicz defended (with honors) his doctoral dissertation entitled „Iris Recognition Methods Resistant to Biological Changes in the Eye” , supervised by prof. Czajka and prof. Pacut, on the 18th of July, 2019.
Iris scanner can distinguish dead eyeballs from living ones: MIT Technology Review reports on our recent developements in the field of presentation attack detection for cadaver irises.
We are pleased to announce that Mateusz Trokielewicz received the EAB European Biometrics Research Award 2016 for research on iris recognition reliability including template aging, influence of eye diseases and post-mortem recognition.
Is That Eyeball Dead or Alive? Adam Czajka discusses the prevention of iris sensors accepting the use of a high-resolution photo of an iris or, in a grislier scenario, an actual eyeball. For full article, please see IEEE Spectrum.
wersja polska
Mobile 3D face recognition system using sensor Structure
Mobile scanning set was created using depth camera Structure. Sensor is fully portable and can be charged using USB cable. Although current configuration is set to work with Windows 8.1 tablet PC all component and libraries used in project are cross-platform.
- OpenNI 2 - library for managing streams from Primesense compatible depth cameras (like Microsoft Kinect v.1 and Structure)
- Point Cloud Library - large toolbox for point cloud processing
- Qt 4 - library for building graphical user interface
Application captures sequence of face images in form of point clouds. They can be analyzed both in static and dynamic context.
Contact us
Institute of Control
and Computation Engineering
Warsaw University of Technology
ul. Nowowiejska 15/19
00-665 Warsaw, Poland
phone: +48 (22) 234 73 97
