A facial classification system that utilises images of faceparts is presented in this paper. Each facepart region is allocated a degree of importance. The random forests approach is employed for classification. The approach grows many classification trees where each tree gives a classification decision. The forest selects the classification that gives the most votes. Experimental results are presented and discussed
History
Pagination
1 - 4
Location
Hong Kong, China
Open access
Yes
Start date
2006-11-14
End date
2006-11-17
ISBN-13
9781424405480
ISBN-10
1424405483
Language
eng
Publication classification
E1 Full written paper - refereed
Copyright notice
2006, IEEE
Title of proceedings
TENCON 2006 : 2006 IEEE Region 10 Conference : Hong Kong, China, 14-17 November 2006