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.
Computer Vision (CSE 40535/60535)
back to Computer Vision (CSE 40535/60535)
Practicals
Practical 5, Fri. 4/22/2016: Project progress
In this session you should demonstrate your semester project operating in real-time.
Practical 4, Fri. 4/8/2016: Image stitching (materials)
Things to do before class:
- Read the instruction (PDF file).
- Look at the lecture notes on image stitching and 2D geometric transformations.
- Read instructions in PDF and think about five tasks defined in the instructions.
- Look at the lecture about 2D geometric transformations.
- Install a webcam adaptor for Image Acquisition Toolbox and check if it works (use the example code provided in webCamExample.m).
- Look at the lecture about color imaging and color spaces.
- Read document prepared by Toan to train basic image processing functions.
- Download and install the last version of MATLAB: https://oit.nd.edu/software-downloads/
Practical 3, Fri. 3/4/2016: Geometric transformations (materials)
Things to do before class:
Practical 2, Fri. 2/12/2016: Processing of live streaming (materials)
Things to do before class:
Practical 1, Fri. 2/5/2016: Basics in Image Processing with MATLAB (materials)
Things to do before class:
Don't forget to bring your laptop to the class!