Detecção de maquiagem facial por meio de CMYK e redes neurais
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Tipo
Dissertação
Data de publicação
2018-02-16
Periódico
Citações (Scopus)
Autores
Bertacchi, Marcello Guariento
Orientador
Silveira, Ismar Frango
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Silva, Luciano
Marques, Fátima de Lourdes dos Santos Nunes
Marques, Fátima de Lourdes dos Santos Nunes
Programa
Engenharia Elétrica
Resumo
Initially, facial feature recognition was only used intuitively, which means that one individual
recognized another by certain characteristics relevant for their identification. Time
passed, and with technological advancement, other methods were created for this purpose.
However, the addition of artificial characteristics could have a negative influence
in the process of facial recognition. Hence the choice of the cosmetic application field,
with the purpose of exploring in more details both the effects in recognition as well as
the process of detection of facial makeup. For this purpose, the color model CMYK
was chosen due to its satisfactory performance in skin detection. The objective of this
work is to emphasize the feasibility of applying the color model CMYK in Computational
Vision procedures and Image Analysis, in comparisson to another model widely used,
which is the HSV. For the makeup classification process, it was chosen a variant of
Artificial Neural Networks known as Neural Network Convolutional, which is based on
the visual cortex of cats. First, it was proved the negative influence of makeup in face
recognition, through the LBP descriptor. In sequence, six neural networks were trained
to detect makeup, achieving an accuracy of 97 percentage points on the eye region,
95 points percent on the face and 80 percentage points on the lips, in CMYK’s model,
and 91 percentage points on the eye region, 92 points percent on the face and 73
percentage points on the lips, in HSV’s model. Consequently, CMYK was proven to be
a color space that deserves attention in the fields of Makeup and Computer Vision.
Descrição
Palavras-chave
detecção de maquiagem , visão computacional , CMYK , redes neurais , HSV
Assuntos Scopus
Citação
BERTACCHI, Marcello Guariento. Detecção de maquiagem facial por meio de CMYK e redes neurais. 2018. 141 f. Dissertação( Engenharia Elétrica) - Universidade Presbiteriana Mackenzie, São Paulo.