Representing the Appearances of Human Faces for Recognition
Lee, Kuang-Chih
This item is only available for download by members of the University of Illinois community. Students, faculty, and staff at the U of I may log in with your NetID and password to view the item. If you are trying to access an Illinois-restricted dissertation or thesis, you can request a copy through your library's Inter-Library Loan office or purchase a copy directly from ProQuest.
Permalink
https://hdl.handle.net/2142/81664
Description
Title
Representing the Appearances of Human Faces for Recognition
Author(s)
Lee, Kuang-Chih
Issue Date
2005
Doctoral Committee Chair(s)
David J. Kriegman
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Artificial Intelligence
Language
eng
Abstract
While the techniques have been applied to human faces, the presented approximations to the appearance manifold are general and can be applied to other classes of objects.
Use this login method if you
don't
have an
@illinois.edu
email address.
(Oops, I do have one)
IDEALS migrated to a new platform on June 23, 2022. If you created
your account prior to this date, you will have to reset your password
using the forgot-password link below.
