@InProceedings{CarmoAlveOliv:2017:FaIdBa,
author = "Carmo, Diedre and Alves, Raul and Oliveira, Luciano",
title = "Face identification based on synergism of classifiers in rectified
stereo images",
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 = "computer vision, stereo camera, face identification.",
abstract = "This paper proposes a method to identify faces from a stereo
camera. Our approach tries to avoid common problems that come with
using only one camera that shall arise while detecting from a
relatively unstable view in real world applications. The proposed
approach exploits the use of a local binary pattern (LBP) to
describe the faces in each image of the stereo camera, after
detecting the face using the Viola- Jones method. LBP histogram
feeds then multilayer perceptron (MLP) and support vector machine
classifiers to identify the faces detected in each stereo image,
considering a database of target faces. Computational cost problem
due to the use of dual cameras are alleviated with the use of
co-planar rectified images, achieved through calibration of the
stereo camera. Performance is assessed using the well established
Yale face dataset, and performance is assessed by using only one
or both camera images.",
conference-location = "Niter{\'o}i, RJ, Brazil",
conference-year = "17-20 Oct. 2017",
language = "en",
ibi = "8JMKD3MGPAW/3PJ53LS",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3PJ53LS",
targetfile = "final-sibgrapi-wuw-tcc.pdf",
urlaccessdate = "2024, May 02"
}