Some of the project highlights of the Department are listed below:
Pattern Recognition and Machine Learning
|Face anti-spoofing to combat mask attacks: A remote photoplethysmography approach
||Prof. YUEN, Pong Chi |
- To effectively detect the 3D mask attack with different mask materials and qualities, a new liveness cue is proposed by analyzing heartbeat signal through remote photoplethysmography (rPPG).
- To precisely identify the heartbeat vestige from the observed noisy rPPG signals under practical lighting conditions, A rPPG correspondence feature for 3D mask face anti-spoofing is proposed.
Project in Different Research Areas: