Robust, Automatic Structural Analysis of Difficult Face Images: A New Approach
Nguyen, Thang Cao
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https://hdl.handle.net/2142/81227
Description
Title
Robust, Automatic Structural Analysis of Difficult Face Images: A New Approach
Author(s)
Nguyen, Thang Cao
Issue Date
1998
Doctoral Committee Chair(s)
Huang, Thomas S.
Department of Study
Electrical Engineering
Discipline
Electrical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
Abstract
The view-classification accuracy achieved is about 93% (42/45); and that for the eye-glasses recognition is conservatively estimated at about 95% (18-19/19), with one false-positive (9.1%) out of eleven cases without eyeglasses. Many profiles and half-profiles, eyeglasses with glares or dark spectacles, beards and/or mustaches, and very faint feature contrast due to very dark complexions or weak lighting, etc., have been analyzed well.
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