ID | 30090 |
FullText URL | |
Author |
Ogawa, Keisuke
Oki, Shohei
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Abstract | 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 |
Keywords | eigenvalues and eigenfunctions
face recognition
feature extraction
image matching
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Note | 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. |
Published Date | 1998-4
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Publication Title |
Automatic Face and Gesture Recognition
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Start Page | 94
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End Page | 99
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Content Type |
Journal Article
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language |
English
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Refereed |
True
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DOI | |
Submission Path | industrial_engineering/47
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