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Comparison study on SVD-based face classification

  • Yong Xu*
  • , Yingnan Zhao
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Jishou University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a novel SVD-based method is developed to classify face images. The experimental results show that the novel method outperforms the existing SVD-based face recognition methods. In addition, we investigate the performances on face recognition of singular values, left and right singular vectors generated from SVD and assess the existing SVD-based face recognition methods. It appears that by compared with singular values and singular vectors, SVD-based reconstruction images are more useful in classifying face images. In practice, through the SVD-based image reconstruction process, we may weaken the side effects on face classification of varying imaging conditions and facial expressions.

Original languageEnglish
Title of host publicationProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Pages343-346
Number of pages4
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006 - Pasadena, CA, United States
Duration: 18 Dec 200620 Dec 2006

Publication series

NameProceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006

Conference

Conference2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006
Country/TerritoryUnited States
CityPasadena, CA
Period18/12/0620/12/06

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