Title :
A quantified study of facial asymmetry in 3D faces
Author :
Liu, Yanxi ; Palmer, Jeff
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
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. We focus 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.
Keywords :
face recognition; image matching; imaging; object detection; 3D imaging technology; 3D surface information; bilateral symmetry assumption; facial asymmetry; gender discrimination; human 3D face image; quantified analysis; Conferences;
Conference_Titel :
Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on
Print_ISBN :
0-7695-2010-3
DOI :
10.1109/AMFG.2003.1240847
