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
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;
Conference_Titel :
Automatic Face and Gesture Recognition, 1998. Proceedings. Third IEEE International Conference on
Conference_Location :
Nara
Print_ISBN :
0-8186-8344-9
DOI :
10.1109/AFGR.1998.670931