DocumentCode
2219348
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
fYear
2003
fDate
17 Oct. 2003
Firstpage
222
Lastpage
229
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Analysis and Modeling of Faces and Gestures, 2003. AMFG 2003. IEEE International Workshop on
Print_ISBN
0-7695-2010-3
Type
conf
DOI
10.1109/AMFG.2003.1240847
Filename
1240847
Link To Document