Документ взят из кэша поисковой машины. Адрес оригинального документа : http://graphics.cs.msu.ru/en/node/1000
Дата изменения: Sun Apr 10 00:37:01 2016
Дата индексирования: Sun Apr 10 00:37:02 2016
Кодировка: UTF-8
Simile Classifiers for Face Classification | Graphics and Media Lab

Simile Classifiers for Face Classification

TitleSimile Classifiers for Face Classification
Publication TypeConference Paper
Year of Publication2012
AuthorsKonushin V, Lukina T, Kuharenko A, Konushin A
Refereed DesignationRefereed
Conference NameGraphiCon
Pagination108-112
Publication LanguageEnglish
Keywordsattribute classification, classifier training, gender classification
Abstract

We present a new approach to face classification using simile classifiers. Unlike other methods we explicitly estimate similarity distances to the known reference people and use these similarities as high-level features for the classification of the test face.
We test our algorithm on gender classification problem. Our algorithm shows classification accuracy of 92.96% on LFW dataset.

URLhttp://www.graphicon.ru/proceedings/2012/conference/RU1%20-%20Biometry/gc2012konushin.pdf
Citation Key1000