Challenge to scalability of face recognition using universal eigenface

Hisayoshi Chugan, Tsuyoshi Fukuda, Takeshi Shakunaga

研究成果

抄録

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.

本文言語English
ホスト出版物のタイトルImage and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers
編集者Mariano Rivera, Brendan McCane, Xinguo Yu, Thomas Bräunl
出版社Springer Verlag
ページ51-62
ページ数12
ISBN(印刷版)9783319294506
DOI
出版ステータスPublished - 1月 1 2016
イベント7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015 - Auckland
継続期間: 11月 25 201511月 27 2015

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9431
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Challenge to scalability of face recognition using universal eigenface」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル