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.

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Computer Vision (CSE 40535/60535)

back to Computer Vision (CSE 40535/60535)

Practicals

1. Detection of color objects in live stream

This practical session will demon- strate how to process live webcam stream, detect color objects and track them (Python codes).

2. Object classification

This practical session will demonstrate how to automat- ically estimate simple geometrical features of objects and classify these objects (Matlab codes and instructions).

3. Image stitching

This practical session will show the difference between forward and inverse warping. We will use inverse warping in image stitching (Matlab codes and instructions).

4. CNN-based object recognition

This practical session will demonstrate how to use pre-trained convolutional neural networks in feature extraction and image recognition (Python codes and instructions).