Face Recognition
Project Head: Fernando De la Torre Frade
The appearance of people’s faces changes drastically due to expression, pose, illumination, aging, and iconic changes (e.g. beard, glasses). The large variability in face appearance makes face recognition algorithms from images or video a challenging task. Moreover, typically only few training examples (e.g. one frontal face sample) per subject are available, are given making the classification task difficult. The aim of this project is to develop robust methods for face recognition across pose, expression and illumination.
Displaying 16 Publications
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- Simon Baker
- David Monzo Ferrer
- Ralph Gross
- Yanxi Liu
- Karen Schmidt
- Terence Sim
- Rhiannon L. Weaver