Gaussian decomposition for robust face recognition

Fumihiko Sakaue, Takeshi Shakunaga

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


This paper discusses Gaussian decomposition of facial images for robust recognition. While it cannot sufficiently extract an effective component, it can decompose an image into two effective components, the filtered image and its residual. The Gaussian component represents rough information for a lighting condition and small individuality. The residual represents individuality and the other information including small noise. The two components complement each other and they are evaluated independently in the framework of eigenface method. The image decomposition can also collaborate with parallel partial projections for robust recognition.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2006 - 7th Asian Conference on Computer Vision, Proceedings
Number of pages10
Publication statusPublished - Jun 15 2006
Event7th Asian Conference on Computer Vision, ACCV 2006 - Hyderabad, India
Duration: Jan 13 2006Jan 16 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3851 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other7th Asian Conference on Computer Vision, ACCV 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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