TY - GEN
T1 - Automatic model based face feature detection system
AU - Wei, Jen Chew
AU - Ang, Li Minn
AU - Kah, Phooi Seng
PY - 2008
Y1 - 2008
N2 - Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area of the eyes, mouth and nose while the 3D image is used to locate the exact point of the corners and tip. This method successfully detected the feature points at different face angles and is a fully automatic system.
AB - Face recognition has become an important area of research in recent years, especially for security purposes. In this paper, we present a method to detect important features of the face for alignment purposes in a face recognition system. These features, which are the eye corners, mouth corners and nose tip, are detected using a combination of 2D and 3D images. The 2D image is used to locate the area of the eyes, mouth and nose while the 3D image is used to locate the exact point of the corners and tip. This method successfully detected the feature points at different face angles and is a fully automatic system.
UR - http://www.scopus.com/inward/record.url?scp=57349102442&partnerID=8YFLogxK
U2 - 10.1109/ITSIM.2008.4631696
DO - 10.1109/ITSIM.2008.4631696
M3 - Conference Proceeding
AN - SCOPUS:57349102442
SN - 9781424423286
T3 - Proceedings - International Symposium on Information Technology 2008, ITSim
BT - Proceedings - International Symposium on Information Technology 2008, ITSim
T2 - International Symposium on Information Technology 2008, ITSim
Y2 - 26 August 2008 through 29 August 2008
ER -