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Towards Computer Vision Powered Color-Nutrient Assessment of Puréed Food
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
With one in four individuals afflicted with malnutrition, computer vision may provide a way of introducing a new level of automation in the nutrition field to reliably monitor food and nutrient intake. In this study, we present a novel approach to modeling the link between color and vitamin A content using transmittance imaging of a puréed foods dilution series in a computer vision powered nutrient sensing system via a fine-tuned deep autoencoder network, which in this case was trained to
doi:10.1109/cvprw.2019.00068
dblp:conf/cvpr/PfistererASW19
fatcat:zgv33ispdfgb5njob4bermpnti