DocumentCode
2860700
Title
Integration of eigentemplate and structure matching for automatic facial feature detection
Author
Shakunaga, Takeshi ; Ogawa, Kei Suk ; Oki, Shohei
Author_Institution
Dept. of Inf. Technol., Okayama Univ., Japan
fYear
1998
fDate
14-16 Apr 1998
Firstpage
94
Lastpage
99
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; bottom-up interpretation; eigentemplate matching; experimental results; face orientation; facial feature detection; facial image; feature matching; frontal view; structure matching; top-down interpretation; Face detection; Facial features;
fLanguage
English
Publisher
ieee
Conference_Titel
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location
Nara
Print_ISBN
0-8186-8344-9
Type
conf
DOI
10.1109/AFGR.1998.670931
Filename
670931
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