@InProceedings{BezerraGome:2018:ReOcLa,
author = "Bezerra, Gustavo Alves and Gomes, Rafael Beserra",
affiliation = "{Universidade Federal do Rio Grande do Norte} and {Universidade
Federal do Rio Grande do Norte}",
title = "Recognition of occluded and lateral faces using MTCNN, Dlib and
homographies",
booktitle = "Proceedings...",
year = "2018",
editor = "Ross, Arun and Gastal, Eduardo S. L. and Jorge, Joaquim A. and
Queiroz, Ricardo L. de and Minetto, Rodrigo and Sarkar, Sudeep and
Papa, Jo{\~a}o Paulo and Oliveira, Manuel M. and Arbel{\'a}ez,
Pablo and Mery, Domingo and Oliveira, Maria Cristina Ferreira de
and Spina, Thiago Vallin and Mendes, Caroline Mazetto and Costa,
Henrique S{\'e}rgio Gutierrez and Mejail, Marta Estela and Geus,
Klaus de and Scheer, Sergio",
organization = "Conference on Graphics, Patterns and Images, 31. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "face recognition, occlusion, homography.",
abstract = "With the advance of technology it is possible to create more
robust security systems. For this task, image processing alongside
Deep Neural Networks are currently being used in several works for
facial recognition. However, occlusions and faces in different
angles are a challenge for most algorithms. Attempting to contour
this issue, an algorithm for facial recognition combining MTCNN,
DLIB and homographies is proposed. In the obtained results, a
comparison between the proposed algorithm and basis works
indicates that, for some controlled cases, a mean accuracy
improvement of 7.4% was obtained, with a maximum of 8.23% for
occluded faces and 14.08% for lateral faces.",
conference-location = "Foz do Igua{\c{c}}u, PR, Brazil",
conference-year = "29 Oct.-1 Nov. 2018",
language = "en",
ibi = "8JMKD3MGPAW/3S39KCL",
url = "http://urlib.net/ibi/8JMKD3MGPAW/3S39KCL",
targetfile = "Recognition_of_Occluded_and_Lateral_Faces.pdf",
urlaccessdate = "2024, Apr. 28"
}