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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.

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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 quantifi ed analysis of facial asymmetry of more than 100 3D human faces (individuals). We investigate whether facial asymmetry diff ers statistically signi cantly from a bilatera lsymmetry assumption, and the role of global and local facial asymmetry for gender discrimination.

Notes

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

Number of pages: 8

Text Reference

Y. Liu and J. Palmer, "A Quantified Study of Facial Asymmetry in 3D Faces," 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.

BibTeX Reference

@inproceedings{Liu_2003_4467,
   author = "Yanxi Liu and Jeffrey Palmer",
   title = "A Quantified Study of Facial Asymmetry in 3D Faces",
   booktitle = "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)",
   month = "October",
   year = "2003"
}