Biometric techniques and human-computer interfaces
Biometric techniques and human-computer interfaces
Our non-invasive biometric approaches that include, among others, the algorithms for automatic analysis of eye movement from image sequences, allow us to build increasingly robust and accurate identification and verification systems. The research encompasses machine learning-powered signature verification, handwriting recognition, detection and classification of hand gestures from static and dynamic images, face detection and recognition of human emotions, human re-identification based on facial images, and much more. Also, we develop the virtual- and augmented-reality systems.
Contact (email: firstname.lastname@polsl.pl):
- Prof. dr hab. Bogdan Smołka (ORCID)
- Dr hab. inż. Katarzyna Harężlak, Prof. PŚ (ORCID)
- Dr hab. inż. Paweł Kasprowski, Prof. PŚ (ORCID)
- Dr hab. Inż. Karolina Nurzyńska, Prof. PŚ (ORCID)
- Dr inż. Krzysztof Dobosz
- Dr inż. Tomasz Grzejszczak
- Dr inż. Adrian Kapczyński (ORCID)
- Dr inż. Tomasz Moroń
- Dr inż. Jacek Szedel
- Dr inż. Damian Pęszor
- Dr inż. Michał Staniszewski (ORCID)
- Dr inż. Przemysław Skurowski
