A Quantified Study of Facial Asymmetry in 3D Faces

Yanxi Liu and Jeff Palmer
tech. report CMU-RI-TR-03-21, Robotics Institute, Carnegie Mellon University, July, 2003


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Abstract
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.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center and Medical Robotics Technology Center
Associated Lab(s) / Group(s): Human Identification at a Distance, Computational Symmetry, Biomedical Image Analysis
Associated Project(s): Facial Asymmetry as a Biometric

Text Reference
Yanxi Liu and Jeff Palmer, "A Quantified Study of Facial Asymmetry in 3D Faces," tech. report CMU-RI-TR-03-21, Robotics Institute, Carnegie Mellon University, July, 2003

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