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ID 30090
フルテキストURL
著者
Shakunaga, Takeshi Okayama University
Ogawa, Keisuke Okayama University
Oki, Shohei Okayama University
抄録

An algorithm is proposed for facial feature detection from a facial image. The algorithm consists of the bottom-up and the top-down interpretation processes, which work with the feature matching module and the structure matching module. Experimental results show that the proposed algorithm can detect no less than five features in 99.3% of the frontal views and can work even if the face orientation is unknown

キーワード
eigenvalues and eigenfunctions
face recognition
feature extraction
image matching
備考
Digital Object Identifier: 10.1109/AFGR.1998.670931
Published with permission from the copyright holder. This is the institute's copy, as published in Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on, 14-16 April 1998, Pages 94-99.
Publisher URL:http://dx.doi.org/10.1109/AFGR.1998.670931
Copyright © 1998 IEEE. All rights reserved.
発行日
1998-4
出版物タイトル
Automatic Face and Gesture Recognition
開始ページ
94
終了ページ
99
資料タイプ
学術雑誌論文
言語
English
査読
有り
DOI
Submission Path
industrial_engineering/47