TY - GEN
T1 - Incremental PCA based face recognition
AU - Zhao, Haitao
AU - Yuen, Pong Chi
AU - Kwok, James T.
AU - Yang, Jingyu
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004
Y1 - 2004
N2 - In the real world, learning is often expected to be a continuous process, which is capable of incorporating new facts into the past experience. However, currently many typical face recognition methods, such as eigenface and Fisherface, have only focused on non-incremental learning tasks, where the learning stops once the training set has been duly processed. In this paper, we present a PCA-based algorithm for face recognition, which takes the incremental learning in account. This method can update the principal subspace without simply re-computing the eigen decomposition from scratch.
AB - In the real world, learning is often expected to be a continuous process, which is capable of incorporating new facts into the past experience. However, currently many typical face recognition methods, such as eigenface and Fisherface, have only focused on non-incremental learning tasks, where the learning stops once the training set has been duly processed. In this paper, we present a PCA-based algorithm for face recognition, which takes the incremental learning in account. This method can update the principal subspace without simply re-computing the eigen decomposition from scratch.
UR - http://www.scopus.com/inward/record.url?scp=21244492777&partnerID=8YFLogxK
M3 - Conference proceeding
AN - SCOPUS:21244492777
SN - 0780386531
T3 - 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
SP - 687
EP - 691
BT - 2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
T2 - 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Y2 - 6 December 2004 through 9 December 2004
ER -