start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=94
end-page=99
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=1998
dt-pub=19984
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Integration of eigentemplate and structure matching for automatic facial feature detection
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=<p>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</p>

en-copyright=
kn-copyright=

en-aut-name=ShakunagaTakeshi
en-aut-sei=Shakunaga
en-aut-mei=Takeshi
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=1
ORCID=

en-aut-name=OgawaKeisuke
en-aut-sei=Ogawa
en-aut-mei=Keisuke
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=OkiShohei
en-aut-sei=Oki
en-aut-mei=Shohei
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=
kn-affil=Okayama University

affil-num=2
en-affil=
kn-affil=Okayama University

affil-num=3
en-affil=
kn-affil=Okayama University
en-keyword=eigenvalues and eigenfunctions
kn-keyword=eigenvalues and eigenfunctions
en-keyword=face recognition
kn-keyword=face recognition
en-keyword=feature extraction
kn-keyword=feature extraction
en-keyword=image matching
kn-keyword=image matching
END