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

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

Knowing 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 o...

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Bibliographic Details
Main Authors: Wenyan Jia, Yiqiu Ren, Boyang Li, Britney Beatrice, Jingda Que, Shunxin Cao, Zekun Wu, Zhi-Hong Mao, Benny Lo, Alex K. Anderson, Gary Frost, Megan A. McCrory, Edward Sazonov, Matilda Steiner-Asiedu, Tom Baranowski, Lora E. Burke, Mingui Sun
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
3D reconstruction
food volume estimation
image-based dietary assessment
round bowl
Online Access:https://www.mdpi.com/1424-8220/22/4/1493

Internet

https://www.mdpi.com/1424-8220/22/4/1493

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