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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages51-62
Number of pages12
Volume9431
ISBN (Print)9783319294506
DOIs
Publication statusPublished - 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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Eigenface
Face recognition
Face Recognition
Scalability
Elimination
Parallel Systems
Linear equations
Dimensionality
Linear systems
Linear equation
Exceed
Optimal Solution
Linear Systems
Face

Keywords

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

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Chugan, H., Fukuda, T., & Shakunaga, T. (2016). Challenge to scalability of face recognition using universal eigenface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9431, pp. 51-62). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9431). Springer Verlag. https://doi.org/10.1007/978-3-319-29451-3_5

Challenge to scalability of face recognition using universal eigenface. / Chugan, Hisayoshi; Fukuda, Tsuyoshi; Shakunaga, Takeshi.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9431 Springer Verlag, 2016. p. 51-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9431).

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

Chugan, H, Fukuda, T & Shakunaga, T 2016, Challenge to scalability of face recognition using universal eigenface. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9431, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9431, Springer Verlag, pp. 51-62, 7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015, Auckland, New Zealand, 11/25/15. https://doi.org/10.1007/978-3-319-29451-3_5
Chugan H, Fukuda T, Shakunaga T. Challenge to scalability of face recognition using universal eigenface. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9431. Springer Verlag. 2016. p. 51-62. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-29451-3_5
Chugan, Hisayoshi ; Fukuda, Tsuyoshi ; Shakunaga, Takeshi. / Challenge to scalability of face recognition using universal eigenface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9431 Springer Verlag, 2016. pp. 51-62 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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