Incremental PCA based face recognition

Haitao Zhao*, Pong Chi YUEN, James T. Kwok, Jingyu Yang

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Pages687-691
Number of pages5
Publication statusPublished - 2004
Event8th International Conference on Control, Automation, Robotics and Vision (ICARCV) - Kunming, China
Duration: 6 Dec 20049 Dec 2004

Publication series

Name2004 8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Volume1

Conference

Conference8th International Conference on Control, Automation, Robotics and Vision (ICARCV)
Country/TerritoryChina
CityKunming
Period6/12/049/12/04

Scopus Subject Areas

  • Engineering(all)

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