An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology

An End-to-End Image-Based Automatic Food Energy Estimation Technique Based on Learned Energy Distribution Images: Protocol and Methodology

Obtaining accurate food portion estimation automatically is challenging since the processes of food preparation and consumption impose large variations on food shapes and appearances. The aim of this paper was to estimate the food energy numeric value from eating occasion images captured using the m...

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Bibliographic Details
Main Authors: Shaobo Fang, Zeman Shao, Deborah A. Kerr, Carol J. Boushey, Fengqing Zhu
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Nutrients
Subjects:
dietary assessment
food energy estimation
generative models
generative adversarial networks
image-to-energy mapping
neural networks
regressions
Online Access:https://www.mdpi.com/2072-6643/11/4/877

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