TY - GEN
T1 - Improvement on null space LDA for face recognition: A symmetry consideration
AU - Zuo, Wangmeng
AU - Wang, Kuanquan
AU - Zhang, Dapeng
PY - 2006/6/15
Y1 - 2006/6/15
N2 - The approximate bilateral symmetry of human face has been explored to improve the recognition performance of some face recognition algorithms such as Linear Discriminant Analysis (LDA) and Direct-LDA (D-LDA). In this paper we summary the ways to generate virtual sample using facial symmetry, and investigate the three strategies of using facial symmetric information in the Null Space LDA (NLDA) framework. The results of our experiments indicate that, the use of facial symmetric information can further improve the recognition accuracy of conventional NLDA.
AB - The approximate bilateral symmetry of human face has been explored to improve the recognition performance of some face recognition algorithms such as Linear Discriminant Analysis (LDA) and Direct-LDA (D-LDA). In this paper we summary the ways to generate virtual sample using facial symmetry, and investigate the three strategies of using facial symmetric information in the Null Space LDA (NLDA) framework. The results of our experiments indicate that, the use of facial symmetric information can further improve the recognition accuracy of conventional NLDA.
UR - http://www.scopus.com/inward/record.url?scp=33744961214&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
SN - 3540311114
SN - 9783540311119
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 78
EP - 84
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 -