Face recognition and visual processing
This research area is concerned with the understanding and synthesis of face images by both machines and humans.
A core component of the work of the group is in developing statistical models of the appearance and behaviour of human faces in image sequences.
Such models can be matched to new image sequences, and the resulting model parameters further analysed to estimate the identity, expression and facial behaviour of the individual in the sequence.
Summary of current active research
- Development of statistical models of facial appearance and behaviour
- Development of efficient algorithms to match such models to images and image sequences
- Development of face recognition algorithms using such models
- Development of statistical models of facial appearance and behaviour
- Development of efficient algorithms to match such models to images and image sequences
Dr David Cristinacce
Development of efficient face location and facial feature location algorithms to track human faces in cars. The final aim being automatic monitoring of driver behaviour, e.g. detecting erratic movements or sleepiness, as part of an intelligent in car vehicle system.
