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Face Recognition
Head: Fernando De la Torre Frade
Contact: Fernando De la Torre Frade (ftorre@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated center: VASC
Associated lab/group: Face Group

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.

Name - Title <Email Address>
• [Home] Fernando De la Torre Frade - Research Scientist <ftorre@cs.cmu.edu>
• [Home] Ralph Gross - PhD Student, ISRI <rgross@cs.cmu.edu>
• David Monzo Ferrer - Visiting Scholar <damonfer@gmail.com>

• Face Recognition Across Illumination - Recognizing people from faces: video and still iamges.
• Face Recognition Across Pose - Recognizing people from different poses.
• Facial Asymmetry as a Biometric - We are investigating the effect of facial asymmetry measurement statistics as a biometric under expression variations.

• Multiple Face Recognition from Omnidirectional Video
  F. De la Torre Frade, C. Vallespi-Gonzalez, P. Rybski, M. Veloso, and T. Kanade
  IEEE Workshop on Learning in Computer Vision and Pattern Recognition, June, 2005. [Abstract]
  Download: pdf [869 KB] copyrighted

• Representational Oriented Component Analysis (ROCA) for Face Recognition with One Sample Image per Training Class
  F. De la Torre Frade, R. Gross, S. Baker, and V. Kumar
  Computer Vision and Pattern Recognition, Vol. 2, June, 2005, pp. 266 - 273. [Abstract]
  Download: pdf [559 KB] copyrighted

• Face Recognition Across Pose and Illumination
  R. Gross, S. Baker, I. Matthews, and T. Kanade
  Handbook of Face Recognition, Stan Z. Li and Anil K. Jain, ed., Springer-Verlag, June, 2004. [Abstract]
  Download: pdf [617 KB] copyrighted

• Appearance-Based Face Recognition and Light-Fields
  R. Gross, I. Matthews, and S. Baker
  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 4, April, 2004, pp. 449 - 465. [Abstract]
  Download: pdf [775 KB] copyrighted

• Appearance-based 3-D Face Recognition from Video
  V. Krueger, R. Gross, and S. Baker
  Proceedings of the German Symposium on Pattern Recognition (DAGM), September, 2002.
  Download: pdf [1095 KB] copyrighted

• Fisher Light-Fields for Face Recognition Across Pose and Illumination
  R. Gross, I. Matthews, and S. Baker
  Proceedings of the German Symposium on Pattern Recognition (DAGM), September, 2002. [Abstract]
  Download: pdf [258 KB], ps.gz [3085 KB] copyrighted

• Appearance Based Face Recognition and Light-Fields
  R. Gross, I. Matthews, and S. Baker
  tech. report CMU-RI-TR-02-20, Robotics Institute, Carnegie Mellon University, August, 2002. [Abstract]
  Download: pdf [5701 KB] copyrighted

• Eigen Light-Fields and Face Recognition Across Pose
  R. Gross, I. Matthews, and S. Baker
  Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition, May, 2002, pp. 1 - 7. [Abstract]
  Download: pdf [690 KB], ps.gz [3335 KB] copyrighted

• Facial Asymmetry Quantification for Expression Invariant Human Identification
  Y. Liu, K. Schmidt, J. Cohn, and R.L. Weaver
  Proceedings of the 5th International Conference on Automatic Face and Gesture Recognition (FG'02), May, 2002, pp. 198 - 204. [Abstract]
  Download: pdf [767 KB], ps.gz [1293 KB] copyrighted

• Human facial asymmetry for expression-invariant facial identification
  Y. Liu, K. Schmidt, J. Cohn, and R.L. Weaver
  Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition (FG'02), May, 2002.
  Download: pdf [1127 KB] copyrighted