The Robotics Institute

Carnegie Mellon Robotics Institute

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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, June, 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 = "June",
   year = "2003",
   number= "CMU-RI-TR-03-21",
   address= "Pittsburgh, PA",
}

The Robotics Institute

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