Robust, Automatic Structural Analysis of Difficult Face Images: A New Approach

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Nguyen, Thang Cao

Contributors dc:contributor

• Huang, Thomas S.

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI9834721

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81227