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Ogawa, Keisuke Okayama University
Oki, Shohei Okayama University
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
eigenvalues and eigenfunctions
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.
Copyright © 1998 IEEE. All rights reserved.
Automatic Face and Gesture Recognition