kouzani-facepartsforrecognition-2006.pdf (559.58 kB)
Faceparts for recognition
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
Event
TENCON (2006 : Hong Kong, China)Pagination
1 - 4Publisher
IEEE XploreLocation
Hong Kong, ChinaPlace of publication
Piscataway, N.J.Start date
2006-11-14End date
2006-11-17ISBN-13
9781424405480ISBN-10
1424405483Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2006, IEEETitle of proceedings
TENCON 2006 : 2006 IEEE Region 10 Conference : Hong Kong, China, 14-17 November 2006Usage metrics
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