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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Dat Tien, Kim, Ki Wan, Hong, Hyung Gil, Koo, Ja Hyung, Kim, Min Cheol, Park, Kang Ryoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375923/
https://www.ncbi.nlm.nih.gov/pubmed/28335510
http://dx.doi.org/10.3390/s17030637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375923/
https://www.ncbi.nlm.nih.gov/pubmed/28335510
http://dx.doi.org/10.3390/s17030637

Ejemplares similares