TY - GEN
T1 - An introduction to the good, the bad, & the ugly face recognition challenge problem
AU - Phillips, P. Jonathon
AU - Beveridge, J. Ross
AU - Draper, Bruce A.
AU - Givens, Geof
AU - O'Toole, Alice J.
AU - Bolme, David S.
AU - Dunlop, Joseph
AU - Lui, Yui Man
AU - Sahibzada, Hassan
AU - Weimer, Samuel
PY - 2011
Y1 - 2011
N2 - The Good, the Bad, & the Ugly Face Challenge Problem was created to encourage the development of algorithms that are robust to recognition across changes that occur in still frontal faces. The Good, the Bad, & the Ugly consists of three partitions. The Good partition contains pairs of images that are considered easy to recognize. On the Good partition, the base verification rate (VR) is 0.98 at a false accept rate (FAR) of 0.001. The Bad partition contains pairs of images of average difficulty to recognize. For the Bad partition, the VR is 0.80 at a FAR of 0.001. The Ugly partition contains pairs of images considered difficult to recognize, with a VR of 0.15 at a FAR of 0.001. The base performance is from fusing the output of three of the top performers in the FRVT 2006. The design of the Good, the Bad, & the Ugly controls for pose variation, subject aging, and subject recognizability. Subject recognizability is controlled by having the same number of images of each subject in every partition. This implies that the differences in performance among the partitions are result of how a face is presented in each image.
AB - The Good, the Bad, & the Ugly Face Challenge Problem was created to encourage the development of algorithms that are robust to recognition across changes that occur in still frontal faces. The Good, the Bad, & the Ugly consists of three partitions. The Good partition contains pairs of images that are considered easy to recognize. On the Good partition, the base verification rate (VR) is 0.98 at a false accept rate (FAR) of 0.001. The Bad partition contains pairs of images of average difficulty to recognize. For the Bad partition, the VR is 0.80 at a FAR of 0.001. The Ugly partition contains pairs of images considered difficult to recognize, with a VR of 0.15 at a FAR of 0.001. The base performance is from fusing the output of three of the top performers in the FRVT 2006. The design of the Good, the Bad, & the Ugly controls for pose variation, subject aging, and subject recognizability. Subject recognizability is controlled by having the same number of images of each subject in every partition. This implies that the differences in performance among the partitions are result of how a face is presented in each image.
UR - http://www.scopus.com/inward/record.url?scp=79958760671&partnerID=8YFLogxK
U2 - 10.1109/FG.2011.5771424
DO - 10.1109/FG.2011.5771424
M3 - Conference contribution
AN - SCOPUS:79958760671
SN - 9781424491407
T3 - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
SP - 346
EP - 353
BT - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
T2 - 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Y2 - 21 March 2011 through 25 March 2011
ER -