TY - GEN
T1 - Preliminary studies on the Good, the Bad, and the Ugly face recognition challenge problem
AU - Lui, Yui Man
AU - Bolme, David
AU - Phillips, P. Jonathon
AU - Beveridge, J. Ross
AU - Draper, Bruce A.
PY - 2012
Y1 - 2012
N2 - Face recognition has made significant advances over the last twenty years. State-of-the-art algorithms push the performance envelope to near perfect recognition rates on many face databases. Recently, the Good, the Bad, and the Ugly (GBU) face challenge problem has been introduced to focus on hard aspects of face recognition from still frontal images. In this paper, we introduce the CohortLDA baseline algorithm, which is an Linear Discriminant Analysis (LDA) algorithm with color spaces and cohort normalization. CohortLDA greatly outperforms some well known face recognition algorithms on the GBU challenge problem. The GBU protocol includes rules for creating training sets. We investigate the effect on performance of violating the rules for creating training sets. This analysis shows that violating the GBU protocol can substantially over estimate performance on the GBU challenge problem.
AB - Face recognition has made significant advances over the last twenty years. State-of-the-art algorithms push the performance envelope to near perfect recognition rates on many face databases. Recently, the Good, the Bad, and the Ugly (GBU) face challenge problem has been introduced to focus on hard aspects of face recognition from still frontal images. In this paper, we introduce the CohortLDA baseline algorithm, which is an Linear Discriminant Analysis (LDA) algorithm with color spaces and cohort normalization. CohortLDA greatly outperforms some well known face recognition algorithms on the GBU challenge problem. The GBU protocol includes rules for creating training sets. We investigate the effect on performance of violating the rules for creating training sets. This analysis shows that violating the GBU protocol can substantially over estimate performance on the GBU challenge problem.
UR - http://www.scopus.com/inward/record.url?scp=84865011972&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2012.6239209
DO - 10.1109/CVPRW.2012.6239209
M3 - Conference contribution
AN - SCOPUS:84865011972
SN - 9781467316118
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 9
EP - 16
BT - 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012
T2 - 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2012
Y2 - 16 June 2012 through 21 June 2012
ER -