| ID | 30090 |
| フルテキストURL | |
| 著者 |
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 |
英語
|
| 査読 |
有り
|
| DOI | |
| Submission Path | industrial_engineering/47
|
