TY - GEN
T1 - A single layer feedforward fusion network for face verification
AU - Oh, Beom Seok
AU - Oh, Kangrok
AU - Toh, Kar Ann
AU - Beng Jin Teoh, Andrew
N1 - Publisher Copyright:
© 2014 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - In this paper, a single hidden-layer feedforward fusion network is proposed for face identity verification. Essentially, the feature extraction, matching score calculation and fusion algorithm design steps are integrated and absorbed into a hidden layer of the model. Each hidden node works on the raw face image directly and produces an Euclidean distance based match score within the network. These scores are then incorporated with output weights to produce a fused score at the final stage. Our experimental study conducted using three face databases shows that the proposed model consistently outperforms competing methods.
AB - In this paper, a single hidden-layer feedforward fusion network is proposed for face identity verification. Essentially, the feature extraction, matching score calculation and fusion algorithm design steps are integrated and absorbed into a hidden layer of the model. Each hidden node works on the raw face image directly and produces an Euclidean distance based match score within the network. These scores are then incorporated with output weights to produce a fused score at the final stage. Our experimental study conducted using three face databases shows that the proposed model consistently outperforms competing methods.
UR - http://www.scopus.com/inward/record.url?scp=84949924504&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949924504&partnerID=8YFLogxK
U2 - 10.1109/ICARCV.2014.7064432
DO - 10.1109/ICARCV.2014.7064432
M3 - Conference contribution
AN - SCOPUS:84949924504
T3 - 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
SP - 944
EP - 948
BT - 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Y2 - 10 December 2014 through 12 December 2014
ER -