Segmented face image verification for age-invariant face recognition

Yuta Somada, Wataru Oyama, Tetsushi Wakabayashi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

1 被引用数 (Scopus)

抄録

Face recognition has several problems to improve its performance. In particular, aging causes facial appearance variation so that it is the most difficult problem to handle. We propose a face recognition method that is robust against aging. The proposed method employs segmentation verification of frontal face images that consists of the following three steps. (1) Face image segmentation generates three regional subimages from the input face image. (2) A matching score is calculated using gradient features from a pair consisting of the input image and a registered image for each of the three generated subimages and original (whole face) image. We obtain four matching scores. (3) The verifying classifier evaluates the matching score vector and predicts the a posteriori probability that two matching images belong to the same person. The results of an experimental evaluation with the FGNET datasets clarify the effectiveness of the proposed method for age invariant face recognition.

本文言語英語
ホスト出版物のタイトル2017 6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-4
ページ数4
2018-January
ISBN(電子版)9781538610220
DOI
出版ステータス出版済み - 4 16 2018
外部発表はい
イベント6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017 - Himeji, 日本
継続期間: 9 1 20179 3 2017

その他

その他6th International Conference on Informatics, Electronics and Vision and 2017 7th International Symposium in Computational Medical and Health Technology, ICIEV-ISCMHT 2017
国/地域日本
CityHimeji
Period9/1/179/3/17

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識
  • 情報システム
  • 生体医工学
  • メディア記述
  • 健康情報学

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