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A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation

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dc.contributor.authorJia, Wenyan
dc.contributor.authorRen, Yiqiu
dc.contributor.authorLi, Boyang
dc.contributor.authorBeatrice, Britney
dc.contributor.authorQue, Jingda
dc.contributor.authorCao, Shunxin
dc.contributor.authorWu, Zekun
dc.contributor.authorMao, Zhi-Hong
dc.contributor.authorLo, Benny
dc.contributor.authorAnderson, Alex K.
dc.contributor.authorFrost, Gary
dc.contributor.authorMcCrory, Megan A.
dc.contributor.authorSazonov, Edward
dc.contributor.authorSteiner-Asiedu, Matilda
dc.contributor.authorBaranowski, Tom
dc.contributor.authorBurke, Lora E.
dc.contributor.authorSun, Mingui
dc.contributor.otherUniversity of Pittsburgh
dc.contributor.otherImperial College London
dc.contributor.otherUniversity of Georgia
dc.contributor.otherBoston University
dc.contributor.otherUniversity of Alabama Tuscaloosa
dc.contributor.otherUniversity of Ghana
dc.contributor.otherBaylor College of Medicine
dc.contributor.otherUnited States Department of Agriculture (USDA)
dc.date.accessioned2023-09-28T19:16:20Z
dc.date.available2023-09-28T19:16:20Z
dc.date.issued2022
dc.description.abstractKnowing the amounts of energy and nutrients in an individual's diet is important for maintaining health and preventing chronic diseases. As electronic and AI technologies advance rapidly, dietary assessment can now be performed using food images obtained from a smartphone or a wearable device. One of the challenges in this approach is to computationally measure the volume of food in a bowl from an image. This problem has not been studied systematically despite the bowl being the most utilized food container in many parts of the world, especially in Asia and Africa. In this paper, we present a new method to measure the size and shape of a bowl by adhering a paper ruler centrally across the bottom and sides of the bowl and then taking an image. When observed from the image, the distortions in the width of the paper ruler and the spacings between ruler markers completely encode the size and shape of the bowl. A computational algorithm is developed to reconstruct the three-dimensional bowl interior using the observed distortions. Our experiments using nine bowls, colored liquids, and amorphous foods demonstrate high accuracy of our method for food volume estimation involving round bowls as containers. A total of 228 images of amorphous foods were also used in a comparative experiment between our algorithm and an independent human estimator. The results showed that our algorithm overperformed the human estimator who utilized different types of reference information and two estimation methods, including direct volume estimation and indirect estimation through the fullness of the bowl.en_US
dc.format.mediumelectronic
dc.format.mimetypeapplication/pdf
dc.identifier.citationJia, W., Ren, Y., Li, B., Beatrice, B., Que, J., Cao, S., Wu, Z., Mao, Z.-H., Lo, B., Anderson, A. K., Frost, G., McCrory, M. A., Sazonov, E., Steiner-Asiedu, M., Baranowski, T., Burke, L. E., & Sun, M. (2022). A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation. In Sensors (Vol. 22, Issue 4, p. 1493). MDPI AG. https://doi.org/10.3390/s22041493
dc.identifier.doi10.3390/s22041493
dc.identifier.orcidhttps://orcid.org/0000-0002-5080-108X
dc.identifier.orcidhttps://orcid.org/0000-0002-7770-5012
dc.identifier.orcidhttps://orcid.org/0000-0001-7048-8337
dc.identifier.orcidhttps://orcid.org/0000-0001-7792-4234
dc.identifier.orcidhttps://orcid.org/0000-0002-5024-1465
dc.identifier.urihttps://ir.ua.edu/handle/123456789/11217
dc.languageEnglish
dc.language.isoen_US
dc.publisherMDPI
dc.rights.licenseAttribution 4.0 International (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject3D reconstruction
dc.subjectfood volume estimation
dc.subjectimage-based dietary assessment
dc.subjectround bowl
dc.subjectPORTION SIZE ESTIMATION
dc.subjectDIETARY ASSESSMENT
dc.subjectChemistry, Analytical
dc.subjectEngineering, Electrical & Electronic
dc.subjectInstruments & Instrumentation
dc.titleA Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimationen_US
dc.typeArticle
dc.typetext

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