A review on vision-based analysis for automatic dietary assessment

W Wang, W Min, T Li, X Dong, H Li, S Jiang - Trends in Food Science & …, 2022 - Elsevier
Background: Maintaining a healthy diet is vital to avoid health-related issues, eg,
undernutrition, obesity and many non-communicable diseases. An indispensable part of the …

Image-based food classification and volume estimation for dietary assessment: A review

FPW Lo, Y Sun, J Qiu, B Lo - IEEE journal of biomedical and …, 2020 - ieeexplore.ieee.org
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …

A review of image-based food recognition and volume estimation artificial intelligence systems

FS Konstantakopoulos, EI Georga… - IEEE Reviews in …, 2023 - ieeexplore.ieee.org
The daily healthy diet and balanced intake of essential nutrients play an important role in
modern lifestyle. The estimation of a meal's nutrient content is an integral component of …

Point2volume: A vision-based dietary assessment approach using view synthesis

FPW Lo, Y Sun, J Qiu, BPL Lo - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
Dietary assessment is an important tool for nutritional epidemiology studies. To assess the
dietary intake, the common approach is to carry out 24-h dietary recall (24HR), a structured …

Food volume estimation based on deep learning view synthesis from a single depth map

FPW Lo, Y Sun, J Qiu, B Lo - Nutrients, 2018 - mdpi.com
An objective dietary assessment system can help users to understand their dietary behavior
and enable targeted interventions to address underlying health problems. To accurately …

Characteristics of smartphone-based dietary assessment tools: A systematic review

LM König, M Van Emmenis, J Nurmi… - Health Psychology …, 2022 - Taylor & Francis
Smartphones have become popular in assessing eating behaviour in real-life and real-time.
This systematic review provides a comprehensive overview of smartphone-based dietary …

An end-to-end food portion estimation framework based on shape reconstruction from monocular image

Z Shao, G Vinod, J He, F Zhu - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Dietary assessment is a key contributor to monitoring health status. Existing self-report
methods are tedious and time-consuming with substantial biases and errors. Image-based …

Human-mimetic estimation of food volume from a single-view RGB image using an AI system

Z Yang, H Yu, S Cao, Q Xu, D Yuan, H Zhang, W Jia… - Electronics, 2021 - mdpi.com
It is well known that many chronic diseases are associated with unhealthy diet. Although
improving diet is critical, adopting a healthy diet is difficult despite its benefits being well …

Dietary nutritional information autonomous perception method based on machine vision in smart homes

H Li, G Yang - Entropy, 2022 - mdpi.com
In order to automatically perceive the user's dietary nutritional information in the smart home
environment, this paper proposes a dietary nutritional information autonomous perception …

Food Portion Estimation via 3D Object Scaling

G Vinod, J He, Z Shao, F Zhu - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Image-based methods to analyze food images have alleviated the user burden and biases
associated with traditional methods. However accurate portion estimation remains a major …