start-ver=1.4
cd-journal=joma
no-vol=
cd-vols=
no-issue=
article-no=
start-page=241
end-page=247
dt-received=
dt-revised=
dt-accepted=
dt-pub-year=2004
dt-pub=20045
dt-online=
en-article=
kn-article=
en-subject=
kn-subject=
en-title=
kn-title=Robust face recognition by combining projection-based image correction and decomposed eigenface
en-subtitle=
kn-subtitle=
en-abstract=
kn-abstract=This work presents a robust face recognition method, which can work even when an insufficient number of images are registered for each person. The method is composed of image correction and image decomposition, both of which are specified in the normalized image space (NIS). The image correction [(F. Sakaue and T. Shakunaga, 2004), (T. Shakunaga and F. Sakaue, 2002)] is realized by iterative projections of an image to an eigenspace in NIS. It works well for natural images having various kinds of noise, including shadows, reflections, and occlusions. We have proposed decomposition of an eigenface into two orthogonal eigenspaces [T. Shakunaga and K. Shigenari, 2001], and have shown that the decomposition is effective for realizing robust face recognition under various lighting conditions. This work shows that the decomposed eigenface method can be refined by projection-based image correction.
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=SakaueFumihiko
en-aut-sei=Sakaue
en-aut-mei=Fumihiko
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=2
ORCID=

en-aut-name=ShigenariKazuma
en-aut-sei=Shigenari
en-aut-mei=Kazuma
kn-aut-name=
kn-aut-sei=
kn-aut-mei=
aut-affil-num=3
ORCID=

affil-num=1
en-affil=
kn-affil=Department of Information Technology, Faculty of Engineering Okayama University

affil-num=2
en-affil=
kn-affil=Department of Information Technology, Faculty of Engineering Okayama University

affil-num=3
en-affil=
kn-affil=Department of Information Technology, Faculty of Engineering Okayama University
en-keyword=eigenvalues and eigenfunctions
kn-keyword=eigenvalues and eigenfunctions
en-keyword=face recognition
kn-keyword=face recognition
en-keyword=object recognition
kn-keyword=object recognition
END