
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
2005
Workshop Paper, CVPR '05 Workshop on Learning, June, 2005
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, Vol. 2, pp. 266 - 273, June, 2005
2004
Book Section/Chapter, Handbook of Face Recognition, pp. 197 - 221, June, 2004
Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 4, pp. 449 - 465, April, 2004
2002
Conference Paper, Proceedings of 24th German Symposium on Joint Pattern Recognition (DAGM '02), pp. 566 - 574, September, 2002
Conference Paper, Proceedings of 24th German Symposium on Joint Pattern Recognition (DAGM '02), pp. 481 - 489, September, 2002
Tech. Report, CMU-RI-TR-02-20, Robotics Institute, Carnegie Mellon University, August, 2002
Conference Paper, Proceedings of 5th IEEE International Conference on Automatic Face and Gesture Recognition (FG '02), pp. 3 - 9, May, 2002
Conference Paper, Proceedings of 5th IEEE International Conference on Automatic Face and Gesture Recognition (FG '02), May, 2002
Conference Paper, Proceedings of 5th IEEE International Conference on Automatic Face and Gesture Recognition (FG '02), pp. 53 - 58, May, 2002
current head
current staff
current contact
past staff
- Simon Baker
- David Monzo Ferrer
- Ralph Gross
- Yanxi Liu
- Karen Schmidt
- Terence Sim
- Rhiannon L. Weaver