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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.

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With the rapid development of 3D imaging technology, the wide usage of 3D surface information for research and applications is becoming a convenient reality. This study is focused on a quantified analysis of facial asymmetry of more than 100 3D human faces (individuals). We investigate whether facial asymmetry differs statistically significantly from a bilateral symmetry assumption, and the role of global and local facial asymmetry for gender discrimination.

Associated centers: VASC and MRTC
Associated labs/groups: Human Identification at a Distance, Biomedical Image Analysis, Face Group, Human Sensing, and Computational Symmetry
Associated project: Facial Asymmetry as a Biometric

Y. Liu and J. Palmer, A Quantified Study of Facial Asymmetry in 3D Faces, tech. report CMU-RI-TR-03-21, Robotics Institute, Carnegie Mellon University, June, 2003.

@techreport{Liu_2003_4417,
   author = "Yanxi Liu and Jeff Palmer",
   title = "A Quantified Study of Facial Asymmetry in 3D Faces",
   institution = "Robotics Institute, Carnegie Mellon University",
   month = "June",
   year = "2003",
   number = "CMU-RI-TR-03-21",
   address = "Pittsburgh, PA"
}