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ID 30090
FullText URL
Author
Ogawa, Keisuke
Oki, Shohei
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
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
Publication Title
Automatic Face and Gesture Recognition
Start Page
94
End Page
99
Content Type
Journal Article
language
英語
Refereed
True
DOI
Submission Path
industrial_engineering/47