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Title:Robust, Automatic Structural Analysis of Difficult Face Images: A New Approach
Author(s):Nguyen, Thang Cao
Doctoral Committee Chair(s):Huang, Thomas S.
Department / Program:Electrical Engineering
Discipline:Electrical Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Engineering, Electronics and Electrical
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.
Issue Date:1998
Type:Text
Language:English
Description:234 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998.
URI:http://hdl.handle.net/2142/81227
Other Identifier(s):(MiAaPQ)AAI9834721
Date Available in IDEALS:2015-09-25
Date Deposited:1998


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