Dining Bowl Modeling and Optimization for Single-Image-Based Dietary Assessment

In dietary assessment using a single-view food image, an object of known size, such as a checkerboard, is often placed manually in the camera's view as a scale reference to estimate food volume. This traditional scale reference is inconvenient to use because of the manual placement requirement. Consequently, utensils, such as plates and bowls, have been suggested as alternative references. Although these references do not need a manual placement procedure, there is a unique challenge when a dining bowl is used as a reference. Unlike a dining plate, whose shallow shape does not usually block the view of the food, a dining bowl does obscure the food view, and its shape may not be fully observable from the single-view food image. As a result, significant errors may occur in food volume estimation due to the unknown shape of the bowl. To address this challenge, we present a novel method to premeasure both the size and shape of the empty bowl before it is used in a dietary assessment study. In our method, an image is taken with a labeled paper ruler adhered to the interior surface of the bowl, a mathematical model is developed to describe its shape and size, and then an optimization method is used to determine the bowl parameters based on the locations of observed ruler makers from the bowl image. Experimental studies were performed using both simulated and actual bowls to assess the reliability and accuracy of our bowl measurement method.

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Publication Details

Journal
Sensors
Published
2024-09-19
DOI
https://doi.org/10.3390/s24186058
Citations
1
Primary Topic
Color Science and Applications
Type
article
Field-Weighted Citation Impact
0.34

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article

Dining Bowl Modeling and Optimization for Single-Image-Based Dietary Assessment

Boyang Li, Wenyan Jia, Zhi-Hong Mao, Mingui Sun
1 citations
Sensors
Color Science and Applications
0.34
article

Dining Bowl Modeling and Optimization for Single-Image-Based Dietary Assessment

Boyang Li, Wenyan Jia, Zhi-Hong Mao, Mingui Sun
article en
1 citations

Abstract

In dietary assessment using a single-view food image, an object of known size, such as a checkerboard, is often placed manually in the camera's view as a scale reference to estimate food volume. This traditional scale reference is inconvenient to use because of the manual placement requirement. Consequently, utensils, such as plates and bowls, have been suggested as alternative references. Although these references do not need a manual placement procedure, there is a unique challenge when a dining bowl is used as a reference. Unlike a dining plate, whose shallow shape does not usually block the view of the food, a dining bowl does obscure the food view, and its shape may not be fully observable from the single-view food image. As a result, significant errors may occur in food volume estimation due to the unknown shape of the bowl. To address this challenge, we present a novel method to premeasure both the size and shape of the empty bowl before it is used in a dietary assessment study. In our method, an image is taken with a labeled paper ruler adhered to the interior surface of the bowl, a mathematical model is developed to describe its shape and size, and then an optimization method is used to determine the bowl parameters based on the locations of observed ruler makers from the bowl image. Experimental studies were performed using both simulated and actual bowls to assess the reliability and accuracy of our bowl measurement method.

SensorsVol. 24(18)
University of Pittsburgh (US), Neurological Surgery (US)
Bill and Melinda Gates Foundation, National Institutes of Health
Zero hunger
Openalex Percentile: Top 40%
Color Science and Applications
0.34
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Dining Bowl Modeling and Optimization for Single-Image-Based Dietary Assessment — Boyang Li, Wenyan Jia, et al. · Sensors (2024) | TGRS Research Map | TGRS