{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81227"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81227","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Robust, Automatic Structural Analysis of Difficult Face Images: A New Approach","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.","abstract_html":"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. 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