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Multispectral Face Recognition on the Wild
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Orientador(es)
Resumo(s)
This work proposes a multispectral face recognition
system in an uncontrolled environment, aiming to identify or
authenticate identities (people) through their facial images. Face
recognition systems in uncontrolled environments have shown
impressive performance improvements over the last decades.
However, most are limited to the use of a single spectral band in
the visible spectrum. The use of multispectral images makes it
possible to collect information that is not obtainable in the visible
spectrum when certain occlusions exist (e.g., fog and plastic
materials) and in low or no light environments. The proposed
work uses the scores obtained by face recognition systems in
different spectral bands to make a joint final decision in
identification. The evaluation of different methods for each of the
components of a face recognition system allowed selecting the most
suitable ones for a multispectral face recognition system in an
uncontrolled environment. The experimental results, expressed in
Rank-1 scores, were 99.5% and 99.6% in the TUFTS multispectral
database with pose variation and expression variation, indicating
that the use of multispectral images in an uncontrolled
environment is advantageous when compared with the use of
single spectral band images.
Descrição
Palavras-chave
multispectral face recognition score fusion.
Contexto Educativo
Citação
Editora
Academia militar
Licença CC
Sem licença CC