Challenge to scalability of face recognition using universal eigenface

Hisayoshi Chugan, Tsuyoshi Fukuda, Takeshi Shakunaga

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

Abstract

This paper approaches to the scalability problem of face recognition using the weight equations in a universal eigenface. Since the weight equations are linear equations, the optimal solution can be generated even when the number of registered faces exceeds the dimensionality of universal eigenface. Based on the characteristics of the underdetermined linear systems, this paper shows that effective preliminary elimination is possible with little loss by the parallel underdetermined systems. Finally, this paper proposes a preliminary elimination followed by a small-scale face recognition for a scalable face recognition.

Original languageEnglish
Title of host publicationImage and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers
EditorsMariano Rivera, Brendan McCane, Xinguo Yu, Thomas Bräunl
PublisherSpringer Verlag
Pages51-62
Number of pages12
ISBN (Print)9783319294506
DOIs
Publication statusPublished - Jan 1 2016
Event7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015 - Auckland, New Zealand
Duration: Nov 25 2015Nov 27 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9431
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015
CountryNew Zealand
CityAuckland
Period11/25/1511/27/15

Keywords

  • Eigenface
  • Face recognition
  • Orthogonal partitions
  • Scalability
  • Underdetermined systems
  • Weight equations

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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