Gender Recognition from Human-Body Images Using Visible-Light and Thermal Camera Videos Based on a Convolutional Neural Network for Image Feature Extraction

Extracting powerful image features plays an important role in computer vision systems. Many methods have previously been proposed to extract image features for various computer vision applications, such as the scale-invariant feature transform (SIFT), speed-up robust feature (SURF), local binary pat...

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Detalles Bibliográficos
Publicado en:Sensors (Basel)
Main Authors: Nguyen, Dat Tien, Kim, Ki Wan, Hong, Hyung Gil, Koo, Ja Hyung, Kim, Min Cheol, Park, Kang Ryoung
Formato: Artigo
Idioma:Inglês
Publicado: MDPI 2017
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5375923/
https://ncbi.nlm.nih.gov/pubmed/28335510
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17030637
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