Age and Gender Prediction from Face Images Using Convolutional Neural Network

Koichi Ito, Hiroya Kawai, Takehisa Okano, Takafumi Aoki

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

Attribute information such as age and gender improves the performance of face recognition. This paper proposes an age and gender prediction method from face images using convolutional neural network. Through a set of experiments using public face databases, we demonstrate that the proposed method exhibits the efficient performance on age and gender prediction compared with conventional methods.

本文言語English
ホスト出版物のタイトル2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ7-11
ページ数5
ISBN(電子版)9789881476852
DOI
出版ステータスPublished - 2019 3 4
イベント10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Honolulu, United States
継続期間: 2018 11 122018 11 15

出版物シリーズ

名前2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings

Conference

Conference10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
国/地域United States
CityHonolulu
Period18/11/1218/11/15

ASJC Scopus subject areas

  • 情報システム

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