A Quantified Study of Facial Asymmetry in 3D Faces - Robotics Institute Carnegie Mellon University

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, June, 2003

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.

BibTeX

@techreport{Liu-2003-8666,
author = {Yanxi Liu and Jeff Palmer},
title = {A Quantified Study of Facial Asymmetry in 3D Faces},
year = {2003},
month = {June},
institute = {Carnegie Mellon University},
address = {Pittsburgh, PA},
number = {CMU-RI-TR-03-21},
}