@InProceedings{KuboBellFlynSilv:2017:CoFeEx,
author = "Kubo, Diandra Akemi Alves and Bellon, Olga Regina Pereira and
Flynn, Patrick and Silva, Luciano",
affiliation = "{Universidade Federal do Paran{\'a}} and {Universidade Federal do
Paran{\'a}} and {University of Notre Dame} and {Universidade
Federal do Paran{\'a}}",
title = "Facial Expression Recognition: Comparison of Feature Extraction
Methods",
booktitle = "Proceedings...",
year = "2017",
editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and
Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and
Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba,
Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo
and Vital, Creto and Pagot, Christian Azambuja and Petronetto,
Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "facial expression, feature extraction.",
abstract = "Human facial expressions are one of the most im-portant
communication channels, being used with trust to betterunderstand
ones state of mind in a variety of applications, forinstance,
emotion recognition. As a result, various algorithms andmethods
have been developed for facial expression recognition.On this
context, we review the literature and conduct tests ondifferent
algorithms regarding facial feature extraction, in orderto
evaluate their performance on the BU-3DFE database. Thisdatabase
was chosen because it is widely used and all emotionsare annotated
for each image. Therefore BU-3DFE is suitable forthe proposed
benchmarking. The best result was achieved by acombination of
Eigenfaces and SVM as classifier.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "en",
ibi = "8JMKD3MGPAW/3PJD3L2",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJD3L2",
targetfile = "2017_sibgrapi_daakubo.pdf",
urlaccessdate = "2024, Apr. 28"
}