TY - JOUR
T1 - An uncorrelated fisherface approach
AU - Jing, Xiao-Yuan
AU - Wong, Hau-San
AU - Zhang, David
AU - Tang, Yuan-Yan
PY - 2005/8
Y1 - 2005/8
N2 - The Fisherface method is the most representative method of the linear discrimination analysis (LDA) technique. However, there persists in the Fisherface method at least two areas of weakness. The first weakness is that it cannot make the achieved discrimination vectors completely satisfy the statistical uncorrelation while costing a minimum of computing time. The second weakness is that not all the discrimination vectors are useful in pattern classification. In this paper, we propose an uncorrelated Fisherface approach (UFA) to improve the Fisherface method in these two areas. Experimental results on different image databases demonstrate that UFA outperforms the Fisherface method and the uncorrelated optimal discrimination vectors (UODV) method. © 2005 Elsevier B.V. All rights reserved.
AB - The Fisherface method is the most representative method of the linear discrimination analysis (LDA) technique. However, there persists in the Fisherface method at least two areas of weakness. The first weakness is that it cannot make the achieved discrimination vectors completely satisfy the statistical uncorrelation while costing a minimum of computing time. The second weakness is that not all the discrimination vectors are useful in pattern classification. In this paper, we propose an uncorrelated Fisherface approach (UFA) to improve the Fisherface method in these two areas. Experimental results on different image databases demonstrate that UFA outperforms the Fisherface method and the uncorrelated optimal discrimination vectors (UODV) method. © 2005 Elsevier B.V. All rights reserved.
KW - Computing time
KW - Discrimination vectors selection
KW - Linear discrimination analysis (LDA)
KW - Statistical uncorrelation
KW - Uncorrelated Fisherface approach (UFA)
UR - http://www.scopus.com/inward/record.url?scp=21744461795&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-21744461795&origin=recordpage
U2 - 10.1016/j.neucom.2005.01.001
DO - 10.1016/j.neucom.2005.01.001
M3 - RGC 21 - Publication in refereed journal
SN - 0925-2312
VL - 67
SP - 328
EP - 334
JO - Neurocomputing
JF - Neurocomputing
ER -