
Face and Facial Feature Tracking
We have been developing a variety of techniques for the rigid tracking of peoples heads and faces, and the non-rigid tracking of their facial features such as eyes, eyebrows, lips, and cheeks. Please see the projects below for more details.
Displaying 10 Publications
2004
Journal Article, International Journal of Computer Vision, Vol. 60, No. 2, pp. 135 - 164, November, 2004
Journal Article, International Journal of Computer Vision, Vol. 56, No. 3, pp. 221 - 255, March, 2004
Tech. Report, CMU-RI-TR-04-14, Robotics Institute, Carnegie Mellon University, February, 2004
2003
Tech. Report, CMU-RI-TR-03-35, Robotics Institute, Carnegie Mellon University, November, 2003
Tech. Report, CMU-RI-TR-03-02, Robotics Institute, Carnegie Mellon University, April, 2003
Tech. Report, CMU-RI-TR-03-01, Robotics Institute, Carnegie Mellon University, February, 2003
2002
Tech. Report, CMU-RI-TR-02-16, Robotics Institute, Carnegie Mellon University, July, 2002
2001
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 1090 - 1097, December, 2001
Tech. Report, CMU-RI-TR-02-06, Robotics Institute, Carnegie Mellon University, November, 2001
Tech. Report, CMU-RI-TR-01-03, Robotics Institute, Carnegie Mellon University, February, 2001
current staff
past head
- Simon Baker
past contact
- Simon Baker