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Facial Asymmetry as a Biometric Head: Yanxi Liu Contact: Yanxi Liu (yanxi@cs.cmu.edu) Mailing address: Carnegie Mellon University Robotics Institute 5000 Forbes Avenue Pittsburgh, PA 15213 Associated centers: VASC and MRTC Associated labs/groups: Human Identification at a Distance, Biomedical Image Analysis, Face Group, and Computational Symmetry For more information, see this project's homepage.

This page last updated - February 2007.

Project Description

Human facial asymmetry has long been a critical factor for evaluations of attractiveness and expressions in psychology and anthropology, although most studies are carried out qualitatively. In this project, we investigate in depth the effect of statistical facial asymmetry measurement as a biometric under expression variations. Our initial findings demonstrate that the asymmetry of specific facial regions captures individual differences that are robust to variation in facial expression. More importantly, our experimental results show that facial asymmetry provides discriminating power orthogonal to conventional face identification methods. The synergy of combining facial asymmetry with conventional methods is evaluated. Our work appears to be the first to show quantitatively the power of facial asymmetry as a biometric. Further studies are carried out on 3D face asymmetry quantifications, pose-invariant human identification, identification rates for attractive v. non-attractive people, gender differences, and temporal variations during expressions for emotion classification.

Personnel [Past Members]

	Name	Title	Email Address
	Jeffrey Cohn	Adjunct Faculty (Adjunct)	jeffcohn@cs.cmu.edu
	Nicole Lazar	Assistant Professor, Statistics	nlazar@stat.cmu.edu
	Yanxi Liu	Adjunct Associate Research Professor	yanxi@cs.cmu.edu
	Sinjini Mitra	PhD Student, Statistics	smitra@andrew.cmu.edu
	Jeffrey Palmer	Masters Student, Statistics	jppalmer@andrew.cmu.edu
	Karen Schmidt	Assistant Professor, Psychiatry, UPitt	kschmidt@pitt.edu

Recent publications [View all 13 publications]

• Understanding the Role of Facial Asymmetry in Human Face Identification
  S. Mitra, N. Lazar, and Y. Liu
  Statistics and Computing, Vol. 17, January, 2007, pp. 57 - 70. [Abstract]
  Download: pdf [515 KB] copyrighted

• Expression Classification using Wavelet Packet Method on Asymmetry Faces
  K. Teng and Y. Liu
  tech. report CMU-RI-TR-06-03, Robotics Institute, Carnegie Mellon University, January, 2006. [Abstract]
  Download: pdf [1125 KB] copyrighted

• Local Facial Asymmetry for Expression Classification
  S. Mitra and Y. Liu
  Proceedings of the 2004 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'04), Vol. 2, June, 2004, pp. 889 - 894.
  Download: pdf [582 KB] copyrighted

• Using Classical and Resampling Methods for Face Recognition based on Quantified Asymmetry Measures
  S. Mitra, N.A. Lazar, and Y. Liu
  tech. report 790, Statistics, Carnegie Mellon University, December, 2003. [Abstract]
  Download: pdf [365 KB] copyrighted

• A Quantified Study of Facial Asymmetry in 3D Faces
  Y. Liu and J. Palmer
  Proceedings of the 2003 IEEE International Workshop on Analysis and Modeling of Faces and Gestures, in conjunction with the 2003 International Conference of Computer Vision (ICCV '03), October, 2003. [Abstract]
  Download: pdf [3065 KB] copyrighted

• Facial Asymmetry Quantification for Expression Invariant Human Identification
  Y. Liu, K. Schmidt, J. Cohn, and S. Mitra
  Computer Vision and Image Understanding Journal, Vol. 91, No. 1/2, July, 2003, pp. 138 - 159. [Abstract]
  Download: pdf [1010 KB] copyrighted

• A Quantified Study of Facial Asymmetry in 3D Faces
  Y. Liu and J. Palmer
  tech. report CMU-RI-TR-03-21, Robotics Institute, Carnegie Mellon University, June, 2003. [Abstract]
  Download: pdf [5191 KB] copyrighted

• A Quantified Study of Facial Asymmetry and Gender Difference
  Y. Liu and S. Mitra
  tech. report CMU-RI-TR-03-09, Robotics Institute, Carnegie Mellon University, April, 2003.

• Human Identification versus Expression Classification via Bagging on Facial Asymmetry
  Y. Liu and S. Mitra
  tech. report CMU-RI-TR-03-08, Robotics Institute, Carnegie Mellon University, April, 2003. [Abstract]
  Download: pdf [394 KB] copyrighted

• Experiments with Quantified Facial Asymmetry for Human Identification
  Y. Liu and S. Mitra
  tech. report CMU-RI-TR-02-24, Robotics Institute, Carnegie Mellon University, September, 2002.
  Download: pdf [1817 KB], ps.gz [2565 KB] copyrighted