TY - GEN
T1 - Face recognition using ordinal features
AU - Liao, Shengcai
AU - Lei, Zhen
AU - Zhu, Xiangxin
AU - Sun, Zhenan
AU - Li, Stan Z.
AU - Tan, Tieniu
PY - 2006
Y1 - 2006
N2 - In this paper, we present an ordinal feature based method for face recognition. Ordinal features are used to represent faces. Hamming distance of many local sub-windows is computed to evaluate differences of two ordinal faces. AdaBoost learning is finally applied to select most effective hamming distance based weak classifiers and build a powerful classifier. Experiments demonstrate good results for face recognition on the FERET database, and the power of learning ordinal features for face recognition.
AB - In this paper, we present an ordinal feature based method for face recognition. Ordinal features are used to represent faces. Hamming distance of many local sub-windows is computed to evaluate differences of two ordinal faces. AdaBoost learning is finally applied to select most effective hamming distance based weak classifiers and build a powerful classifier. Experiments demonstrate good results for face recognition on the FERET database, and the power of learning ordinal features for face recognition.
UR - http://www.scopus.com/inward/record.url?scp=33744955200&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33744955200&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:33744955200
SN - 3540311114
SN - 9783540311119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 40
EP - 46
BT - Advances in Biometrics - International Conference, ICB 2006, Proceedings
T2 - International Conference on Biometrics, ICB 2006
Y2 - 5 January 2006 through 7 January 2006
ER -