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Related papers: A Comprehensive Survey of Image-Based Food Recogni…

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Worldwide, in 2014, more than 1.9 billion adults, 18 years and older, were overweight. Of these, over 600 million were obese. Accurately documenting dietary caloric intake is crucial to manage weight loss, but also presents challenges…

Computer Vision and Pattern Recognition · Computer Science 2016-06-21 Chang Liu , Yu Cao , Yan Luo , Guanling Chen , Vinod Vokkarane , Yunsheng Ma

Accurate assessment of dietary intake requires improved tools to overcome limitations of current methods including user burden and measurement error. Emerging technologies such as image-based approaches using advanced machine learning…

Computer Vision and Pattern Recognition · Computer Science 2021-10-06 Zeman Shao , Yue Han , Jiangpeng He , Runyu Mao , Janine Wright , Deborah Kerr , Carol Boushey , Fengqing Zhu

Background: Maintaining a healthy diet is vital to avoid health-related issues, e.g., undernutrition, obesity and many non-communicable diseases. An indispensable part of the health diet is dietary assessment. Traditional manual recording…

Computer Vision and Pattern Recognition · Computer Science 2022-03-08 Wei Wang , Weiqing Min , Tianhao Li , Xiaoxiao Dong , Haisheng Li , Shuqiang Jiang

Obesity and being over-weight add to the risk of some major life threatening diseases. According to W.H.O., a considerable population suffers from these disease whereas poor nutrition plays an important role in this context. Traditional…

Human-Computer Interaction · Computer Science 2021-01-07 Muhammad Usman , Huanhuan Chen

Assessment of dietary intake has primarily relied on self-report instruments, which are prone to measurement errors. Dietary assessment methods have increasingly incorporated technological advances particularly mobile, image based…

Computer Vision and Pattern Recognition · Computer Science 2022-09-13 Gautham Vinod , Zeman Shao , Fengqing Zhu

The increasing prevalence of diet-related chronic diseases coupled with the ineffectiveness of traditional diet management methods have resulted in a need for novel tools to accurately and automatically assess meals. Recently, computer…

Computer Vision and Pattern Recognition · Computer Science 2017-01-13 Joachim Dehais , Marios Anthimopoulos , Sergey Shevchik , Stavroula Mougiakakou

Researches have shown that diet recording can help people increase awareness of food intake and improve nutrition management, and thereby maintain a healthier life. Recently, researchers have been working on smartphone-based diet recording…

Computer Vision and Pattern Recognition · Computer Science 2019-06-11 Junyi Gao , Weihao Tan , Liantao Ma , Yasha Wang , Wen Tang

Diet is an important aspect of our health. Good dietary habits can contribute to the prevention of many diseases and improve the overall quality of life. To better understand the relationship between diet and health, image-based dietary…

Computer Vision and Pattern Recognition · Computer Science 2023-01-25 Yue Han , Sri Kalyan Yarlagadda , Tonmoy Ghosh , Fengqing Zhu , Edward Sazonov , Edward J. Delp

The nutritional quality of diets has significantly deteriorated over the past two to three decades, a decline often underestimated by the people. This deterioration, coupled with a hectic lifestyle, has contributed to escalating health…

Computer Vision and Pattern Recognition · Computer Science 2024-03-05 Assylzhan Izbassar , Pakizar Shamoi

Nutritional assessment is key in order to make decisions about the nature and cause of nutrition related health issues that affect an individual. The systematic process of collecting and interpreting relevant nutrition information, however,…

Computers and Society · Computer Science 2019-07-18 Lars Brenna , Håvard D. Johansen , Dag Johansen

High calorie intake in the human body on the one hand, has proved harmful in numerous occasions leading to several diseases and on the other hand, a standard amount of calorie intake has been deemed essential by dieticians to maintain the…

Computers and Society · Computer Science 2015-03-24 Pallavi Kuhad , Abdulsalam Yassine , Shervin Shirmohammadi

Reliance on images for dietary assessment is an important strategy to accurately and conveniently monitor an individual's health, making it a vital mechanism in the prevention and care of chronic diseases and obesity. However, image-based…

Computer Vision and Pattern Recognition · Computer Science 2026-02-06 Gautham Vinod , Fengqing Zhu

Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate nutrient intake have been developed, there is still a clear…

Computer Vision and Pattern Recognition · Computer Science 2019-06-13 Ya Lu , Thomai Stathopoulou , Maria F. Vasiloglou , Stergios Christodoulidis , Beat Blum , Thomas Walser , Vinzenz Meier , Zeno Stanga , Stavroula G. Mougiakakou

Accurate estimation of meal macronutrient composition is a pre-perquisite for precision nutrition, metabolic health monitoring, and glycemic management. Traditional dietary assessment methods, such as self-reported food logs or diet recalls…

Monitoring dietary habits is crucial for preventing health risks associated with overeating and undereating, including obesity, diabetes, and cardiovascular diseases. Traditional methods for tracking food intake rely on self-reported data…

Computer Vision and Pattern Recognition · Computer Science 2025-05-02 Wallace Lee , YuHao Chen

Accurate dietary assessment is critical for precision nutrition, yet most image-based methods rely on a single pre-consumption image and provide only coarse, meal-level estimates. These approaches cannot determine what was actually consumed…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Gautham Vinod , Siddeshwar Raghavan , Bruce Coburn , Fengqing Zhu

The absence of food monitoring has contributed significantly to the increase in the population's weight. Due to the lack of time and busy routines, most people do not control and record what is consumed in their diet. Some solutions have…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 Charles N. C. Freitas , Filipe R. Cordeiro , Valmir Macario

Detecting an ingestion environment is an important aspect of monitoring dietary intake. It provides insightful information for dietary assessment. However, it is a challenging problem where human-based reviewing can be tedious, and…

Obesity treatment requires obese patients to record all food intakes per day. Computer vision has been introduced to estimate calories from food images. In order to increase accuracy of detection and reduce the error of volume estimation in…

Computer Vision and Pattern Recognition · Computer Science 2018-02-20 Yanchao Liang , Jianhua Li

Accurate dietary intake estimation is critical for informing policies and programs to support healthy eating, as malnutrition has been directly linked to decreased quality of life. However self-reporting methods such as food diaries suffer…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Chi-en Amy Tai , Matthew Keller , Saeejith Nair , Yuhao Chen , Yifan Wu , Olivia Markham , Krish Parmar , Pengcheng Xi , Heather Keller , Sharon Kirkpatrick , Alexander Wong
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