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RESEARCH HIGHLIGHTS

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
Staff Prof. YUEN, Pong Chi
Objectives
  • 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:

Computational Intelligence Databases and Information Management Networking and Systems Pattern Recognition and Machine Learning
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Department of Computer Science, Hong Kong Baptist University
Hong Kong Baptist University