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pro vyhledávání: '"Israel A. Laurensi"'
Autor:
R., Israel A. Laurensi, Menon, Luciana T., N., Manoel Camillo O. Penna, Koerich, Alessandro L., Britto Jr, Alceu S.
This paper proposes a face anti-spoofing user-centered model (FAS-UCM). The major difficulty, in this case, is obtaining fraudulent images from all users to train the models. To overcome this problem, the proposed method is divided in three main part
Externí odkaz:
http://arxiv.org/abs/1907.07270
Autor:
Manoel Camillo Penna, Israel A. Laurensi, Luciana T. Menon, Luiz S. Oliveira, Alceu S. Britto
Publikováno v:
IWSSIP
This paper proposes the evaluation of data augmentation impact in the process of microscopic charcoal image classification. Two data augmentation approaches were explored, namely morphological transformations and sub-images. From the augmented data,